Cyber Strategy V1Сyber Strategy V1 – Indicator Testing & Strategy Execution Framework
✅ Overview
Cyber Strategy V1 is a closed-source strategy framework engineered to turn any of yours external indicator into a systematic, rule-based trading system. Designed for rigorous testing and live deployment, it combines multi-signal inputs, confirmations and automated execution paths to help traders and developers validate signal quality and manage risk with precision.
✅ Core Functionality
Multi-Source Independent Signal Inputs
Reversal Logic
Take Profit: up to 5 staggered TP levels, specified as percentage
Stop Loss: configurable via fixed percentage or dynamic SL that trails a reverse signals.
✅ Statistical Drawdown Analysis
For all profitable trades, tracks the maximum intratrade drawdown.
Computes percentile levels of profitable trades that hits minimum drawdowns to inform:
Entry buffer zones (e.g. avoid entering during transient noise)
Partial entry scaling prices.
✅ Signal Confirmation
Optional confirmation delays: hold entry until other signal section send a confirmation from another indicator.
✅ Automated Execution Integrations
Cornix Text Alerts: Generates pre-formatted alerts compatible with Cornix for semi-automated or bot trading.
Webhook Support: Emits JSON payloads on order-fill events to any endpoint, enabling full automation through third-party services or custom order-routing systems.
Important Notes
⚠️ THIS STRATEGY DOES NOT INCLUDE INDICATORS. Examples shown on screenshots use third-party tools. NO PROPRIETARY INDICATORS INCLUDED: Cyber Strategy V1 relies entirely on external signal inputs.
⚠️ All backtesting parameters are customizable; thorough backtesting under realistic slippage, fees and spread assumptions is essential before live deployment.
Automatedtrading
Destroyer LifeDestroyer Life Strategy - High-Frequency Long & Short Trading
Overview:
The Destroyer Life strategy is an advanced cryptocurrency trading algorithm designed for high-frequency execution on the 15-second timeframe. It combines CRT (Candle Range Trend) and Turtle Soup trading logic with multi-timeframe analysis to optimize entries and exits for both long and short trades. This strategy is specifically optimized for high-volatility crypto pairs, such as SOL/USD on MEXC, ensuring precise execution with minimal drawdown.
Key Features:
15-Second Timeframe Execution: Optimized for ultra-short-term trading.
Long & Short Strategy: Simultaneously identifies profitable buy and sell opportunities.
CRT & Turtle Soup Logic: Leverages price action patterns for enhanced trade accuracy.
Higher Timeframe Analysis (HTF): Incorporates liquidity zones, fair value gaps (FVG), and breaker blocks for context-aware trading.
Dynamic Position Sizing: Uses an adjustable leverage multiplier for risk-controlled trade sizing.
Commission Optimization: Ensures profitability even with trading fees.
Strict Risk Management: Implements exit conditions based on liquidity structure and trend reversals.
Strategy Performance (Backtested on SOL/USD - MEXC):
Overall Profitability: ~80% win rate in backtesting.
Net Profit: $3,151.12 (6.30% ROI).
Gross Profit: $3,795.68 (7.59%).
Gross Loss: $644.56 (1.29%).
Long Trades Profit: $1,459.05 (2.92%).
Short Trades Profit: $1,692.07 (3.38%).
Commission Paid: $924.82.
Minimum Trade Holding Period: 1-minute cooldown between trades.
Trading Logic:
Entry Conditions:
Long Trades: Triggered when the price enters a liquidity void and aligns with higher timeframe bullish bias.
Short Trades: Triggered when price approaches a resistance level with bearish higher timeframe confluence.
CRT & Turtle Soup Patterns: Identifies reversals by analyzing breakout and fake-out structures.
Exit Conditions:
Long Positions Close: Upon price exceeding a 3.88% profit threshold or reversing below an HTF structure.
Short Positions Close: Upon reaching a similar 3.88% threshold or showing strong bullish signals.
Dynamic Position Sizing:
Uses a leverage-based calculation that adapts trade size based on volatility.
Liquidity Awareness:
Tracks Mitigation Blocks (MB), Fair Value Gaps (FVG), Buy/Sell-Side Liquidity (BSL/SSL) to determine optimal execution.
Best Use Cases:
Scalpers & High-Frequency Traders: Those looking for rapid trade execution with short holding periods.
Crypto Traders Focused on Low Timeframes: Optimized for 15-second price action.
Traders Utilizing Liquidity Concepts: Built to exploit liquidity traps and inefficiencies.
Risks & Considerations:
High-Frequency Execution Requires Low Latency: Ensure your broker or exchange supports fast order execution.
Backtested Results May Vary: Real-time performance depends on market conditions.
Commission & Fees Impact Profits: Consider exchanges with low fees to maximize strategy efficiency.
Final Thoughts:
The Destroyer Life Strategy is designed for serious traders looking to take advantage of high-volatility markets with a structured, liquidity-based approach. By combining price action, liquidity concepts, and adaptive risk management, it provides a solid framework for executing high-probability trades on crypto markets.
🚀 Ready to take your trading to the next level? Try Destroyer Life today and dominate the markets!
Flux Charts - S&D Automation💎 GENERAL OVERVIEW
The MTF Supply & Demand Zones (S&D) Automation is a powerful and versatile tool designed to help traders rigorously test their trading strategies against historical market data. With various advanced settings, traders can fine-tune their strategies, assess performance, and identify key improvements before deploying in live trading environments. This tool offers a wide range of configurable settings, explained within this write-up.
Features of the new S&D Automation:
Step By Step : Configure your strategy step by step, which will allow you to have OR & AND logic in your strategies.
Highly Configurable : Offers multiple parameters for fine-tuning trade entry and exit conditions.
Multi-Timeframe Analysis : Allows traders to analyze multiple timeframes simultaneously for enhanced accuracy.
Provides advanced stop-loss, take-profit, and break-even settings.
Incorporates Supply & Demand Zone conditions, with settings like Sensitivity, Zone Invalidation, Minimum Zone Width & Minimum Zone Length settings for refined strategy execution.
🚩 UNIQUENESS
The S&D Automation stands out from conventional backtesting tools due to its unparalleled flexibility, precision, and advanced trading logic integration. Key factors that make it unique include:
✅ Comprehensive Strategy Customization – Unlike traditional backtesters that offer basic entry and exit conditions, S&D Automation provides a highly detailed parameter set, allowing traders to fine-tune their strategies with precision.
✅ Multi-Timeframe Supply & Demand Zones – This is the first-ever tool that allows traders to backtest Supply & Demand zones on multiple timeframes.
✅ Customizable Take-Profit Conditions – Offers various methods to set take-profit exits, including using core features from Supply & Demand Zones, and fixed exits like ATR, % change or price change, enabling traders to tailor their exit strategies to specific market behaviors.
✅ Customizable Stop-Loss Conditions – Provides several ways to set up stop losses, including using concepts from Supply & Demand Zones and trailing stops or fixed exits like ATR, % change or price change, allowing for dynamic risk management tailored to individual strategies.
✅ Integration of External Indicators – Allows the inclusion of other indicators or data sources from TradingView for creating strategy conditions, enabling traders to enhance their strategies with additional insights and data points.
By integrating these advanced features, S&D Automation ensures that traders can rigorously test and optimize their strategies with great accuracy and efficiency.
📌 HOW DOES IT WORK ?
The first setting you will want to set it the pyramiding setting. This setting controls the number of simultaneous trades in the same direction allowed in the strategy. For example, if you set it to 1, only one trade can be active in any time, and the second trade will not be entered unless the first one is exited. If it is set to 2, the script will handle both of them at the same time. Note that you should enter the same value to this pyramiding setting, and the pyramiding setting in the "Properties" tab of the script for this to work.
You can enable and set a backtesting window that will limit the entries to between the start date & end date.
Then, you can enter your desired settings for Supply & Demand Zones. You can also enable and set up to 3 timeframes, which you can use later on when customizing your strategies enter / exit conditions.
Entry Conditions
From the "Long Conditions" or the "Short Conditions" groups, you can set your position entry conditions. For settings like "initial capital" or "order size", you can open the "Properties" tab, where these are handled.
The S&D Automation can use the following conditions for entry conditions :
1. Demand Zone
Detection: Triggered when a Demand Zone forms or is detected
Retest: Triggered when price retests a Demand Zone. A retest is confirmed when a candle enters a Demand Zone and closes outside of it.
2nd Retest: Triggered when price retests a Demand Zone for the second time. A retest is confirmed when a candle enters a Demand Zone and closes outside of it.
3rd Retest: Triggered when price retests a Demand Zone for the third time. A retest is confirmed when a candle enters a Demand Zone and closes outside of it.
Retracement: Triggered when price touches a Demand Zone
Break: Triggered when a Demand Zone is invalidated by candle close or wick, depending on the user's input.
2. Supply Zone
Detection: Triggered when a Supply Zone forms or is detected
Retest: Triggered when price retests a Supply Zone. A retest is confirmed when a candle enters a Supply Zone and closes outside of it.
2nd Retest: Triggered when price retests a Supply Zone for the second time. A retest is confirmed when a candle enters a Supply Zone and closes outside of it.
3rd Retest: Triggered when price retests a Supply Zone for the third time. A retest is confirmed when a candle enters a Supply Zone and closes outside of it.
Retracement: Triggered when price touches a Supply Zone
Break: Triggered when a Supply Zone is invalidated by candle close or wick, depending on the user's input.
3. Any Zone
Detection: Triggered when any Supply or Demand Zone forms or is detected
Retest: Triggered when price retests any Supply or Demand Zone. A retest is confirmed when a candle enters any Supply or Demand Zone and closes outside of it.
2nd Retest: Triggered when price retests any Supply or Demand Zone for the second time. A retest is confirmed when a candle enters any Supply or Demand Zone and closes outside of it.
3rd Retest: Triggered when price retests any Supply or Demand Zone for the third time. A retest is confirmed when a candle enters any Supply or Demand Zone and closes outside of it.
Retracement: Triggered when price touches any Supply or Demand Zone
Break: Triggered when any Supply or Demand Zone is invalidated by candle close or wick, depending on the user's input.
🕒 TIMEFRAME CONDITIONS
The S&D Automation supports Multi-Timeframe (MTF) features, just like the Supply & Demand indicator. When setting an entry condition, you can also choose the timeframe.
To set up MTF conditions, navigate to the 'Timeframes' section in the settings, select your desired timeframes, and enable them. You can choose up to three timeframes.
Once you've selected your timeframes, you can use them in your strategy. When setting long and short entry/exit conditions, you can choose from Timeframe 1, Timeframe 2, or Timeframe 3.
External Conditions
Users can use external indicators on the chart to set entry conditions.
The second dropdown in the external condition settings allows you to choose a conditional operator to compare external outputs. Available options include:
Less Than or Equal To: <=
Less Than: <
Equal To: =
Greater Than: >
Greater Than or Equal To: >=
The position entry conditions work like this ;
Each side has 5 S&D Zone conditions and 1 Source condition. Each condition can be enabled or disabled using the checkbox on the left side of them.
The next selection is the alert type, which you can select between "Detection", "Retest", "Retracement" or "Break".
You can select which timeframe this condition should work on from Timeframe 1, 2, or 3. If you select "Any Timeframe", the condition will work for all timeframes.
Lastly select the step of this condition from 1 to 6.
The Source Condition
The last condition on each side is a source condition that is different from the others. Using this condition, you can create your own logic using other indicators' outputs on your chart. For example, suppose that you have an EMA indicator in your chart. You can have the source condition to something like "EMA > high".
The Step System
Each condition has a step number, and conditions are in topological order based on them.
The conditions are executed step by step. This means the condition with step 2 cannot be executed before the condition with step 1 is executed.
Conditions with the same step numbers have "OR" logic. This means that if you have 2 conditions with step 3, the condition with step 4 can trigger after only one of the step 3 conditions is executed.
➕ OTHER ENTRY FEATURES
The S&D Automation allows traders to choose when to execute trades and when not to execute trades.
1. Only Take Trades
This setting lets users specify the time period when their strategy can open or execute trades.
2. Don't Take Trades
This setting lets users specify time periods when their strategy can't open or execute trades.
↩️ EXIT CONDITIONS
1. Exit on Opposite Signal
When enabled, a long position will close when short entry conditions are met, and a short position will close when long entry conditions are met.
2. Exit on Session End
When enabled, positions will be closed at the end of the trading session.
📈 TAKE PROFIT CONDITIONS
There are several methods available for setting take profit exits and conditions.
1. Entry Condition TP
Users can use entry conditions as triggers for take-profit exits. This setting can be found under the long and short exit conditions.
2. Fixed TP
Users can set a fixed TP for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a TP exit when price reaches a specified level. For example, if you set the Price TP to 10 and buy NASDAQ:TSLA at $190, the trade will automatically exit when the price reaches $200 ($190 + $10).
Ticks: This method triggers a TP exit when price moves a specified number of ticks.
Percentage (%): This method triggers a TP exit when price moves a specified percentage.
ATR: This method triggers a TP exit based on a specified multiple of the Average True Range (ATR).
📉 STOP LOSS CONDITIONS
There are several methods available for setting stop-loss exits and conditions.
1. Entry Condition SL
Users can use entry conditions as triggers for stop-loss exits. This setting can be found under the long and short exit conditions.
2. Fixed SL
Users can set a fixed SL for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a SL exit when price reaches a specified level. For example, if you set the Price SL to 10 and buy NASDAQ:TSLA at $200, the trade will automatically exit when the price reaches $190 ($200 - $10).
Ticks: This method triggers a SL exit when price moves a specified number of ticks.
Percentage (%): This method triggers a SL exit when price moves a specified percentage.
ATR: This method triggers a SL exit based on a specified multiple of the Average True Range (ATR).
3. Trailing Stop
An explanation & example for the trailing stop feature is present on the write-up within the next section.
Exit conditions have the same logic of constructing conditions like the entry ones. You can construct a Take-Profit Condition & a Stop-Loss Condition. Note that the Take-Profit condition will only work if the position is in profit, regardless of if it's triggered or not. The same applies for the Stop-Loss condition, meaning that it will only work if the position is in loss.
You can also set a Fixed TP & Fixed SL based on the price movement after the position is entered. You have options like "Price", "Ticks", "%", or "Average True Range". For example, you can set a Fixed TP like "5%", and the position will be entered once it moves 5% up in a long position.
Trailing Stop
For the Fixed SL, you also have a "Trailing" stop option, for which you can set its activation level as well. The Trailing stop activation level and its value are expressed in ticks. Check this scenario for an example :
We have a ticker with a tick value of $1. Our Trailing Stop is set to 10 ticks, and the activation level is set to 30 ticks.
We buy 1 contract when the price is $100.
When the price becomes $110, we are in $10 (10 ticks) profit and the trailing stop is now activated.
The current price our stop's on is $110 - $30 (30 ticks), which is the level of $80.
The trailing stop will only move if the price moves up the highest high the price has been after we entered the position.
Let's suppose that price moves up $40 right after our trailing stop is activated. The price will now be $150, and our trailing stop will sit on $150 - $30 (30 ticks) = $120.
If the price is down the $120 level, our stop loss will be triggered.
There is also a "Hard SL" option designed for a backup stop-loss when trailing stops are enabled. You can enable & set this option and if the price goes down before our trailing stop even activates, the position will be exited.
You can also move stop-loss to the break-even (entry price of the position) after a certain profit is achieved using the last setting of the exit conditions. Note that for this to work, you must have a Fixed SL set-up.
➕ OTHER EXIT FEATURES
1. Move Stop Loss to Breakeven
This setting allows the strategy to automatically move the SL to Breakeven (BE) when the position is in profit by a certain amount. Users can choose between the following:
Price: This method moves the SL to BE when price reaches a specified level.
Ticks: This method moves the SL to BE when price moves a specified number of ticks.
Percentage (%): This method moves the SL to BE when price moves a specified percentage.
ATR: This method moves the SL to BE when price moves a specified multiple of the Average True Range (ATR).
Example Entry Scenario
To give an example , check this scenario; out conditions are :
LONG CONDITIONS
Demand Zone Detection, Step 1
Supply Zone Retest, Step 2
Demand Zone Break, Step 2
open > close, Step 3
First, the strategy needs to detect a Demand Zone Detection in order to start working.
After it's detected, now it's looking for either a Supply Zone Retest, or a Demand Zone Break to proceed to the next step, the reason for this is that they both have the same step number.
After one of them is detected, the strategy will consistently check candlesticks for the condition open > close. If a bullish candlestick occurs, a long position will be entered.
⏰ ALERTS
This indicator uses TradingView's strategy alert system. All entries and exits will be sent as an alert if configured. It's possible to further customize these alerts to your liking. For more information check TradingView's strategy alert customization page : www.tradingview.com
⚙️ SETTINGS
1. Backtesting Settings
Pyramiding: Controls the number of simultaneous trades allowed in the strategy. This setting must have the same value that is entered on the script's properties tab on the settings pane.
Enable Custom Backtesting Period: Restricts backtesting to a specific date range.
Start & End Time Configuration: Define precise start and end dates for historical analysis.
2. General Configuration
Detection Method: There are two detection methods you can choose from for identifying Supply & Demand Zones. Both methods aim to identify key areas where price is likely to react, but they do so using different approaches. Traders can choose the method that aligns with their trading style and time horizon.
Sensitivity: The Sensitivity setting allows traders to adjust how aggressively the script identifies supply and demand zones when using the Momentum Detection Method. This setting directly impacts the threshold for detecting zones when using the momentum detection method.
Zone Invalidation: The Zone Invalidation setting determines how supply and demand zones are invalidated.
Wick -> A zone is invalidated if a candle’s wick goes below a demand zone or above a supply zone.
Close -> A zone is invalidated if a candle closes below a demand zone or above a supply zone.
Zone Visibility Range: The Zone Visibility Range setting controls how far from the current price supply and demand zones are displayed on the chart. It helps traders focus on relevant zones while avoiding clutter from distant or less impactful areas.
Minimum Zone Width: The Minimum Zone Width setting defines the smallest size a supply or demand zone must have to be displayed on the chart. It uses the Average True Range (ATR) as a reference to ensure zones are proportionate to current market volatility.
Minimum Zone Length: The Minimum Zone Length setting determines the minimum number of bars a supply or demand zone must span to be displayed on the chart. This setting helps filter out short-lived or insignificant zones, ensuring only meaningful areas of supply or demand are highlighted.
3. Multi-Timeframe Analysis
Enable Up to Three Timeframes: Select and analyze trades across multiple timeframes.
4. Entry Conditions for Long & Short Trades
Multiple Conditions (1-6): Configure up to six independent conditions per trade direction.
Condition Types: Options include Detection, Retest, 2nd Retest, 3rd Retest, Retracement, and Break.
Timeframe Specification: Choose between "Any Timeframe", "Timeframe 1", "Timeframe 2", or "Timeframe 3".
Trade Execution Filters: Restrict trades within specific trading sessions.
5. Exit Conditions for Long & Short Trades
Exit on Opposite Signal: Automatically exit trades upon opposite trade conditions.
Exit on Session End: Closes all positions at the end of the trading session.
Multiple Take-Profit (TP) and Stop-Loss (SL) Configurations:
TP/SL based on % move, ATR, Ticks, or Fixed Price.
Hard SL option for additional risk control.
Move SL to BE (Break Even) after a certain profit threshold.
Flux Charts - PAT Automation💎 GENERAL OVERVIEW
The PAT Automation is a powerful and versatile tool designed to help traders rigorously test their trading strategies against historical market data. With an array of advanced settings, traders can fine-tune their strategies, assess performance, and identify key improvements before deploying in live trading environments. This backtester offers a wide range of configurable settings, explained within this write-up.
Features of the PAT Automation:
Step By Step : Configure your strategy step by step, which will allow you to have OR & AND logic in your strategies.
Highly Configurable : Offers multiple parameters for fine-tuning trade entry and exit conditions.
Multi-Timeframe Analysis : Allows traders to analyze multiple timeframes simultaneously for enhanced accuracy.
Provides advanced stop-loss, take-profit, and break-even settings.
Incorporates volume-based conditions, liquidity grabs , order blocks , market structures and fair value gaps for refined strategy execution.
🚩 UNIQUENESS
The PAT Automation stands out from conventional backtesting tools due to its unparalleled flexibility, precision, and advanced trading logic integration. Key factors that make it unique include:
✅ Comprehensive Strategy Customization – Unlike traditional backtesters that offer basic entry and exit conditions, PAT Automation provides a highly detailed parameter set, allowing traders to fine-tune their strategies with precision.
✅ Multi-Timeframe Price Action Features – This is the first-ever tool that allows traders to backtest price action with multi-timeframe features such as Fair Value Gaps (FVGs), Inversion Fair Value Gaps (IFVGs), Order Blocks & Breaker Blocks.
✅ Customizable Take-Profit Conditions – Offers various methods to set take-profit exits, including using core features from price action, and fixed exits like ATR, % change or price change, enabling traders to tailor their exit strategies to specific market behaviors.
✅ Customizable Stop-Loss Conditions – Provides several ways to set up stop losses, including using concepts from price action and trailing stops or fixed exits like ATR, % change or price change, allowing for dynamic risk management tailored to individual strategies.
✅ Integration of External Indicators – Allows the inclusion of other indicators or data sources from TradingView for creating strategy conditions, enabling traders to enhance their strategies with additional insights and data points.
By integrating these advanced features, PAT Automation ensures that traders can rigorously test and optimize their strategies with great accuracy and efficiency.
📌 HOW DOES IT WORK?
The first setting you will want to set it the pyramiding setting. This setting controls the number of simultaneous trades in the same direction allowed in the strategy. For example, if you set it to 1, only one trade can be active in any time, and the second trade will not be entered unless the first one is exited. If it is set to 2, the script will handle both of them at the same time. Note that you should enter the same value to this pyramiding setting, and the pyramiding setting in the "Properties" tab of the script for this to work.
For deep backtesting, you can set "Max Distance To Last Bar" to "Unlimited". If you encounter any memory issues, try decreasing this setting to a lower value.
You can enable and set a backtesting window that will limit the entries to between the start date & end date.
Then, you can enter your desired settings to Price Action features like FVGs, IFVGs, Order Blocks, Breaker Blocks, Liquidity Grabs, Market Structures, EQH & EQL and Volume Imbalances. You can also enable and set up to 3 timeframes, which you can use later on when customizing your strategies enter / exit conditions.
Entry Conditions
From the "Long Conditions" or the "Short Conditions" groups, you can set your position entry conditions. For settings like "initial capital" or "order size", you can open the "Properties" tab, where these are handled.
The PAT Automation can use the following conditions for entry conditions :
1. Order Block (OB)
Detection: Triggered when an Order Block forms or is detected
Retest: Triggered when price retests an Order Block. A retest is confirmed when a candle enters an Order Block and closes outside of it.
Retracement: Triggered when price touches an Order Block
Break: Triggered when an Order Block is invalidated by candle close or wick, depending on the user's input.
2. Breaker Block (BB)
Detection: Triggered when a Breaker Block forms or is detected
Retest: Triggered when price retests a Breaker Block. A retest is confirmed when a candle enters a Breaker Block and closes outside of it.
Retracement: Triggered when price touches a Breaker Block
Break: Triggered when a Breaker Block is invalidated by candle close or wick, depending on the user's input.
3. Fair Value Gap (FVG)
Detection: Triggered when an FVG forms or is detected
Retest: Triggered when price retests an FVG. A retest is confirmed when a candle enters an FVG and closes outside of it.
Retracement: Triggered when price touches an FVG
Break: Triggered when an FVG is invalidated by candle close or wick, depending on the user's input.
4. Inversion Fair Value Gap (IFVG)
Detection: Triggered when an IFVG forms or is detected
Retest: Triggered when price retests an IFVG. A retest is confirmed when a candle enters an IFVG and closes outside of it.
Retracement: Triggered when price touches an IFVG
Break: Triggered when an IFVG is invalidated by candle close or wick, depending on the user's input.
5. Break of Structure (BOS)
Detection: Triggered when a BOS forms or is detected
6. Change of Character (CHoCH)
Detection: Triggered when a CHoCH forms or is detected
7. Change of Character Plus (CHoCH+)
Detection: Triggered when a CHoCH+ forms or is detected
8. Volume Imbalance (VI)
Detection: Triggered when a Volume Imbalance forms or is detected
9. Equal High (EQH)
Detection: Triggered when an EQH is detected
10. Equal Low (EQL)
Detection: Triggered when an EQL is detected
11. Buyside Liquidity Grab
Detection: Triggered when a liquidity grab occurs at Buyside Liquidity (BSL).
12. Sellside Liquidity Grab
Detection: Triggered when a liquidity grab occurs at Sellside Liquidity (SSL).
🕒 TIMEFRAME CONDITIONS
The PAT Automation supports Multi-Timeframe (MTF) features, just like the Price Action Toolkit. When setting an entry condition, you can also choose the timeframe.
To set up MTF conditions, navigate to the 'Timeframes' section in the settings, select your desired timeframes, and enable them. You can choose up to three timeframes.
Once you've selected your timeframes, you can use them in your strategy. When setting long and short entry / exit conditions, you can choose from Timeframe 1, Timeframe 2, or Timeframe 3.
External Conditions
Users can use external indicators on the chart to set entry conditions.
The second dropdown in the external condition settings allows you to choose a conditional operator to compare external outputs. Available options include:
Less Than or Equal To: <=
Less Than: <
Equal To: =
Greater Than: >
Greater Than or Equal To: >=
The position entry conditions work like this ;
Each side has 5 Price Action conditions and 1 Source condition. Each condition can be enabled or disabled using the checkbox on the left side.
For Price Action Conditions, you can set a direction: "Any", "Bullish" or "Bearish".
Then a Price Action Feature, like "FVG" or "Order Block".
The last part of our constructed condition is the alert type, which you can select between "Detection", "Retest", "Retracement" or "Break".
Now you should have a constructed condition, which should look like "Bullish Order Block Retest".
You can select which timeframe should this condition work on from Timeframe 1, 2 or 3. If you select "Any Timeframe", the condition will work for all timeframes.
Lastly select the step of this condition from 1 to 6.
The Source Condition
The last condition on each side is a source condition that is different from the others. Using this condition, you can create your own logic using other indicators' outputs on your chart. For example, suppose that you have an EMA indicator in your chart. You can have the source condition to something like "EMA > high".
The Step System
Each condition has a step number, and conditions are in topological order based on them.
The conditions are executed step by step. This means the condition with step 2 cannot be executed before the condition with step 1 is executed.
Conditions with the same step numbers have "OR" logic. This means that if you have 2 conditions with step 3, the condition with step 4 can trigger after only one of the step 3 conditions is executed.
➕ OTHER ENTRY FEATURES
The PAT Automation allows traders to choose when to execute trades and when not to execute trades.
1. Only Take Trades
This setting lets users specify the time period when their strategy can open or execute trades.
2. Don't Take Trades
This setting lets users specify time periods when their strategy can't open or execute trades.
↩️ EXIT CONDITIONS
1. Exit on Opposite Signal
When enabled, a long position will close when short entry conditions are met, and a short position will close when long entry conditions are met.
2. Exit on Session End
When enabled, positions will be closed at the end of the trading session.
📈 TAKE PROFIT CONDITIONS
There are several methods available for setting take profit exits and conditions.
1. Entry Condition TP
Users can use entry conditions as triggers for take-profit exits. This setting can be found under the long and short exit conditions.
2. Fixed TP
Users can set a fixed TP for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a TP exit when price reaches a specified level. For example, if you set the Price TP to 10 and buy NASDAQ:TSLA at $190, the trade will automatically exit when the price reaches $200 ($190 + $10).
Ticks: This method triggers a TP exit when price moves a specified number of ticks.
Percentage (%): This method triggers a TP exit when price moves a specified percentage.
ATR: This method triggers a TP exit based on a specified multiple of the Average True Range (ATR).
📉 STOP LOSS CONDITIONS
There are several methods available for setting stop-loss exits and conditions.
1. Entry Condition SL
Users can use entry conditions as triggers for stop-loss exits. This setting can be found under the long and short exit conditions.
2. Fixed SL
Users can set a fixed SL for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a SL exit when price reaches a specified level. For example, if you set the Price SL to 10 and buy NASDAQ:TSLA at $200, the trade will automatically exit when the price reaches $190 ($200 - $10).
Ticks: This method triggers a SL exit when price moves a specified number of ticks.
Percentage (%): This method triggers a SL exit when price moves a specified percentage.
ATR: This method triggers a SL exit based on a specified multiple of the Average True Range (ATR).
3. Trailing Stop
An explanation & example for the trailing stop feature is present on the write-up within the next section.
Exit conditions have the same logic of constructing conditions like the entry ones. You can construct a Take-Profit Condition & a Stop-Loss Condition. Note that the Take-Profit condition will only work if the position is in profit, regardless of if it's triggered or not. The same applies for the Stop-Loss condition, meaning that it will only work if the position is in loss.
You can also set a Fixed TP & Fixed SL based on the price movement after the position is entered. You have options like "Price", "Ticks", "%", or "Average True Range". For example, you can set a Fixed TP like "5%", and the position will be entered once it moves 5% up in a long position.
Trailing Stop
For the Fixed SL, you also have a "Trailing" stop option, which you can set it's activation level as well. The Trailing stop activation level and it's value are expressed in ticks. Check this scenerio for an example :
We have a ticker with a tick value of $1. Our Trailing Stop is set to 10 ticks and activation level is set to 30 ticks.
We buy 1 contract when the price is $100.
When the price becomes $110, we are in $10 (10 ticks) profit and the trailing stop is now activated.
The current price our stop's on is $110 - $30 (30 ticks), which is the level of $80.
The trailing stop will only move if the price moves up the highest high the price has been after we entered the position.
Let's suppose that price moves up $40 right after our trailing stop is activated. The price will now be $150, and our trailing stop will sit on $150 - $30 (30 ticks) = $120.
If the price is down the $120 level, our stop loss will be triggered.
There is also a "Hard SL" option designed for a backup stop-loss when trailing stops are enabled. You can enable & set this option and if the price goes down before our trailing stop even activates, the position will be exited.
You can also move stop-loss to the break-even (entry price of the position) after a certain profit is achieved using the last setting of the exit conditions. Note that for this to work, you will need to have a Fixed SL set-up.
➕ OTHER EXIT FEATURES
1. Move Stop Loss to Breakeven
This setting allows the strategy to automatically move the SL to Breakeven (BE) when the position is in profit by a certain amount. Users can choose between the following:
Price: This method moves the SL to BE when price reaches a specified level.
Ticks: This method moves the SL to BE when price moves a specified number of ticks.
Percentage (%): This method moves the SL to BE when price moves a specified percentage.
ATR: This method moves the SL to BE when price moves a specified multiple of the Average True Range (ATR).
Example Entry Scenario
To give an example , check this scenario; out conditions are :
LONG CONDITIONS
Bullish Order Block Detection, Step 1
Bullish CHoCH Detection, Step 2
Bullish Volume Imbalance Detection, Step 2
Bullish IFVG Retest, Step 3
First, the strategy needs to detect a Bullish Order Block in order to start working.
After it's detected, now it's looking for either a CHoCH, or a Volume Imbalance to proceed to the next step, the reason for this is that they both have the same step number.
After one of them is detected, the strategy will consistently check all IFVGs for a retest. If the retest occurs, a long position will be entered.
⏰ ALERTS
This indicator uses TradingView's strategy alert system. All entries and exits will be sent as an alert if configured. It's possible to further customize these alerts to your liking. For more information check TradingView's strategy alert customization page: www.tradingview.com
⚙️ SETTINGS
1. Backtesting Settings
Pyramiding: Controls the number of simultaneous trades allowed in the strategy. This setting must have the same value that is entered on the script's properties tab on the settings pane.
Max Distance to Last Bar: Determines the depth of historical data used to prevent memory overload.
Enable Custom Backtesting Period: Restricts backtesting to a specific date range.
Start & End Time Configuration: Define precise start and end dates for historical analysis.
2. Fair Value Gaps Settings
Zone Invalidation: Select between "Wick" and "Close" invalidation.
Filtering: Choose between "Average Range" and "Volume Threshold".
FVG Sensitivity: Ranges from Extreme to Low to detect FVGs with varying strictness.
Allow Gaps: Enables analysis on tickers that have different open-close price gaps.
3. Inversion Fair Value Gaps Settings
Zone Invalidation: Choose between "Wick" and "Close".
4. Order Block Settings
Swing Length: Adjusts the minimum number of bars required for OB formation.
Zone Invalidation Method: Select between "Wick" and "Close".
5. Breaker Block Settings
Zone Invalidation: Set invalidation method as "Wick" or "Close".
6. Liquidity Grabs Settings
Pivot Length: Adjusts the number of bars used to detect liquidity grabs.
Wick-Body Ratio: Defines the proportion of wick-to-body size for liquidity grab detection.
7. Multi-Timeframe Analysis
Enable Up to Three Timeframes: Select and analyze trades across multiple timeframes.
8. Market Structures
Swing Length: Defines the number of bars required for structure shifts.
Includes BOS, CHoCH, CHoCH+ Detection.
9. Equal Highs & Lows
ATR Multiplier: Defines the sensitivity of equal highs/lows detection.
10. Volume Imbalances
Gap Size Sensitivity: Ranges from "Ultra" to "Low".
Disable Overnight Gaps: Filters out volume imbalances occurring due to overnight gaps.
11. Entry Conditions for Long & Short Trades
Multiple Conditions (1-6): Configure up to six independent conditions per trade direction.
Condition Types: Options include Detection, Retest, Retracement, and Break.
Timeframe Specification: Choose between "Any Timeframe", "Timeframe 1", "Timeframe 2", or "Timeframe 3".
Trade Execution Filters: Restrict trades within specific trading sessions.
12. Exit Conditions for Long & Short Trades
Exit on Opposite Signal: Automatically exit trades upon opposite trade conditions.
Exit on Session End: Closes all positions at the end of the trading session.
Multiple Take-Profit (TP) and Stop-Loss (SL) Configurations:
TP/SL based on % move, ATR, Ticks, or Fixed Price.
Hard SL option for additional risk control.
Move SL to BE (Break Even) after a certain profit threshold.
Flux Charts - SFX Automation💎 GENERAL OVERVIEW
The SFX Automation is a powerful and versatile tool designed to help traders rigorously test their trading strategies against historical market data. With various advanced settings, traders can fine-tune their strategies, assess performance, and identify key improvements before deploying in live trading environments. This tool offers a wide range of configurable settings, explained within this write-up.
Features of the new SFX Automation :
Step By Step : Configure your strategy step by step, which will allow you to have OR & AND logic in your strategies.
Highly Configurable : Offers multiple parameters for fine-tuning trade entry and exit conditions.
Multi-Timeframe Analysis : Allows traders to analyze multiple timeframes simultaneously for enhanced accuracy.
Provides advanced stop-loss, take-profit, and break-even settings.
Incorporates Buy & Sell signals, with settings like Signal Sensitivity, Strength, Time Weighting, Dynamic TP & SL Methods and more for refined strategy execution.
🚩 UNIQUENESS
The SFX Automation stands out from conventional backtesting tools due to its unparalleled flexibility, precision, and advanced trading logic integration. Key factors that make it unique include:
✅ Comprehensive Strategy Customization – Unlike traditional backtesters that offer basic entry and exit conditions, SFX Automation provides a highly detailed parameter set, allowing traders to fine-tune their strategies with precision.
✅ Multi-Timeframe Signals – This is the first-ever tool that allows traders to backtest Buy & Sell Signals on multiple timeframes.
✅ Customizable Take-Profit Conditions – Offers various methods to set take-profit exits, including using core features from SFX Algo, and dynamic exits like signal rating upgrades/downgrades, enabling traders to tailor their exit strategies to specific market behaviors.
✅ Customizable Stop-Loss Conditions – Provides several ways to set up stop losses, including using concepts from SFX Algo and trailing stops or dynamic exits like signal rating upgrades/downgrades, allowing for dynamic risk management tailored to individual strategies.
✅ Integration of External Indicators – Allows the inclusion of other indicators or data sources from TradingView for creating strategy conditions, enabling traders to enhance their strategies with additional insights and data points.
By integrating these advanced features, SFX Automation ensures that traders can rigorously test and optimize their strategies with great accuracy and efficiency.
📌 HOW DOES IT WORK ?
The first setting you will want to set it the pyramiding setting. This setting controls the number of simultaneous trades in the same direction allowed in the strategy. For example, if you set it to 1, only one trade can be active in any time, and the second trade will not be entered unless the first one is exited. If it is set to 2, the script will handle both of them at the same time. Note that you should enter the same value to this pyramiding setting, and the pyramiding setting in the "Properties" tab of the script for this to work.
You can enable and set a backtesting window that will limit the entries to between the start date & end date.
Entry Conditions
From the "Long Conditions" or the "Short Conditions" groups, you can set your position entry conditions. For settings like "initial capital" or "order size", you can open the "Properties" tab, where these are handled.
The SFX Algo can use the following conditions for entry conditions :
1. Buy Signal (Any, or 1-5 ☆)
This condition is triggered when a Buy Signal occurs. Other timeframes are supported with this condition.
2. Buy | TP (1, 2 or 3)
This condition is triggered when a TP signal of any Buy signal occurs.
3. Buy | SL
This condition is triggered when a SL signal of any Buy signal occurs.
4. Buy | Rating Upgrade
This condition is triggered when the rating of a buy signal is increased.
5. Buy | Rating Downgrade
This condition is triggered when the rating of a buy signal is decreased.
6. Sell Signal (Any, or 1-5 ☆)
This condition is triggered when a Sell Signal occurs. Other timeframes are supported with this condition.
7. Sell | TP (1, 2 or 3)
This condition is triggered when a TP signal of any Sell signal occurs.
8. Sell | SL
This condition is triggered when a SL signal of any Sell signal occurs.
9. Sell | Rating Upgrade
This condition is triggered when the rating of a sell signal is increased.
10. Sell | Rating Downgrade
This condition is triggered when the rating of a sell signal is decreased.
11. Retracement Wave Retest (Bullish or Bearish)
A retest on the Retracement Wave occurs when the price temporarily moves against the prevailing trend, touching or entering the wave before continuing in the original trend direction. This retest serves as a confirmation that the wave is acting as dynamic support or resistance.
12. Retracement Wave Retracement (Bullish or Bearish)
A retracement on the Retracement Wave occurs when the price touches the wave, the condition is triggered immediately.
13. Volatility Bands Retest (Bullish or Bearish)
A retest of Volatility Bands occurs when the price initially moves beyond the bands, then pulls back to "retest" the band it just broke through before continuing its move. This can provide traders with confirmation of a breakout or signal a potential reversal.
14. Volatility Bands Retracement (Bullish or Bearish)
A retracement on the Volatility Bands occur when the price touches the band, the condition is triggered immediately.
🕒 TIMEFRAME CONDITIONS
The SFX Automation supports Multi-Timeframe (MTF) features for Buy & Sell signals. When setting an entry condition, you can also choose the timeframe.
External Conditions
Users can use external indicators on the chart to set entry conditions.
The second dropdown in the external condition settings allows you to choose a conditional operator to compare external outputs. Available options include:
Less Than or Equal To: <=
Less Than: <
Equal To: =
Greater Than: >
Greater Than or Equal To: >=
The position entry conditions work like this ;
Each side has 3 SFX Algo conditions and 2 Source conditions. Each condition can be enabled or disabled using the checkbox on the left side of them.
You can select which timeframe this condition should work on for Buy & Sell signals. If you select "Chart", the condition will work for the chart's current timeframe.
Lastly select the step of this condition from 1 to 6.
The Source Condition
The last condition on each side is a source condition that is different from the others. Using this condition, you can create your own logic using other indicators' outputs on your chart. For example, suppose that you have an EMA indicator in your chart. You can have the source condition to something like "EMA > high".
The Step System
Each condition has a step number, and conditions are in topological order based on them.
The conditions are executed step by step. This means the condition with step 2 cannot be executed before the condition with step 1 is executed.
Conditions with the same step numbers have "OR" logic. This means that if you have 2 conditions with step 3, the condition with step 4 can trigger after only one of the step 3 conditions is executed.
➕ OTHER ENTRY FEATURES
The SFX Automation allows traders to choose when to execute trades and when not to execute trades.
1. Only Take Trades
This setting lets users specify the time period when their strategy can open or execute trades.
2. Don't Take Trades
This setting lets users specify time periods when their strategy can't open or execute trades.
↩️ EXIT CONDITIONS
1. Exit on Opposite Signal
When enabled, a long position will close when short entry conditions are met, and a short position will close when long entry conditions are met.
2. Exit on Session End
When enabled, positions will be closed at the end of the trading session.
📈 TAKE PROFIT CONDITIONS
There are several methods available for setting take profit exits and conditions.
1. Entry Condition TP
Users can use entry conditions as triggers for take profit exits. This setting can be found under the long and short exit conditions.
2. Fixed TP
Users can set a fixed TP for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a TP exit when price reaches a specified level. For example, if you set the Price TP to 10 and buy NASDAQ:TSLA at $190, the trade will automatically exit when the price reaches $200 ($190 + $10).
Ticks: This method triggers a TP exit when price moves a specified number of ticks.
Percentage (%): This method triggers a TP exit when price moves a specified percentage.
ATR: This method triggers a TP exit based on a specified multiple of the Average True Range (ATR).
🧩EXIT PERCENTAGES
For each 3 dynamic take-profit conditions, you can set the amount of the position to exit in terms of percentage. It's important to make sure that the total of the exit percentages are 100%.
📉 STOP LOSS CONDITIONS
There are several methods available for setting stop-loss exits and conditions.
1. Entry Condition SL
Users can use entry conditions as triggers for stop-loss exits. This setting can be found under the long and short exit conditions.
2. Fixed SL
Users can set a fixed SL for exits. This setting can be found under the long and short exit conditions. Users can choose between the following:
Price: This method triggers a SL exit when price reaches a specified level. For example, if you set the Price SL to 10 and buy NASDAQ:TSLA at $200, the trade will automatically exit when the price reaches $190 ($200 - $10).
Ticks: This method triggers a SL exit when price moves a specified number of ticks.
Percentage (%): This method triggers a SL exit when price moves a specified percentage.
ATR: This method triggers a SL exit based on a specified multiple of the Average True Range (ATR).
3. Trailing Stop
An explanation & example for the trailing stop feature is present on the write-up within the next section.
Exit conditions have the same logic of constructing conditions like the entry ones. You can construct a Take-Profit Condition & a Stop-Loss Condition. Note that the Take-Profit condition will only work if the position is in profit, regardless of if it's triggered or not. The same applies for the Stop-Loss condition, meaning that it will only work if the position is in loss.
You can also set a Fixed TP & Fixed SL based on the price movement after the position is entered. You have options like "Price", "Ticks", "%", or "Average True Range". For example, you can set a Fixed TP like "5%", and the position will be entered once it moves 5% up in a long position.
Trailing Stop
For the Fixed SL, you also have a "Trailing" stop option, which you can set it's activation level as well. The Trailing stop activation level and it's value are expressed in ticks. Check this scenerio for an example :
We have a ticker with a tick value of $1. Our Trailing Stop is set to 10 ticks, and the activation level is set to 30 ticks.
We buy 1 contract when the price is $100.
When the price becomes $110, we are in $10 (10 ticks) profit and the trailing stop is now activated.
The current price our stop's on is $110 - $30 (30 ticks), which is the level of $80.
The trailing stop will only move if the price moves up the highest high the price has been after we entered the position.
Let's suppose that price moves up $40 right after our trailing stop is activated. The price will now be $150, and our trailing stop will sit on $150 - $30 (30 ticks) = $120.
If the price is down the $120 level, our stop loss will be triggered.
There is also a "Hard SL" option designed for a backup stop-loss when trailing stops are enabled. You can enable & set this option and if the price goes down before our trailing stop even activates, the position will be exited.
You can also move stop-loss to the break-even (entry price of the position) after a certain profit is achieved using the last setting of the exit conditions. Note that for this to work, you will need to have a Fixed SL setup.
➕ OTHER EXIT FEATURES
1. Move Stop Loss to Breakeven
This setting allows the strategy to automatically move the SL to Breakeven (BE) when the position is in profit by a certain amount. Users can choose between the following:
Price: This method moves the SL to BE when price reaches a specified level.
Ticks: This method moves the SL to BE when price moves a specified number of ticks.
Percentage (%): This method moves the SL to BE when price moves a specified percentage.
ATR: This method moves the SL to BE when price moves a specified multiple of the Average True Range (ATR).
Example Entry Scenario
To give an example , check this scenario; out conditions are :
LONG CONDITIONS
Buy Signal Any☆, Step 1
Bullish R. Wave Retest, Step 2
Bullish V. Bands Retest, Step 2
open > close, Step 3
First, the strategy needs to detect a Buy Signal with any star rating in order to start working.
After it's detected, now it's looking for either a Bullish R. Wave Retest, or a Bullish V. Bands Retest to proceed to the next step, the reason for this is that they both have the same step number.
After one of them is detected, the strategy will consistently check candlesticks for the condition open > close. If a bullish candlestick occurs, a long position will be entered.
⏰ ALERTS
This indicator uses TradingView's strategy alert system. All entries and exits will be sent as an alert if configured. It's possible to further customize these alerts to your liking. For more information, check TradingView's strategy alert customization page: www.tradingview.com
⚙️ SETTINGS
1. Backtesting Settings
Pyramiding: Controls the number of simultaneous trades allowed in the strategy. This setting must have the same value that is entered on the script's properties tab on the settings pane.
Enable Custom Backtesting Period: Restricts backtesting to a specific date range.
Start & End Time Configuration: Define precise start and end dates for historical analysis.
2. Algorithm Settings
Sensitivity: The sensitivity setting is a key parameter that influences the number of signals the SFX Algo generates. By adjusting this parameter, you can control the frequency of signals produced by the algorithm.
Signal Strength: The Signal Strength setting filters signals based on their quality, allowing traders to focus on the most reliable opportunities. This feature helps traders balance the quantity and reliability of the algorithm’s signals to suit their trading strategy.
Time Weighting: The Time Weighting setting determines how the SFX Algo evaluates historical market data to generate signals.
a) Recent Trends
Focuses on the most recent movements for short-term analysis. This setting is good for scalpers and intraday traders who need to react quickly to market changes.
b) Mixed Trends
Balances recent and historical price movements for a comprehensive market view. This setting is well-suited for swing traders and those who want to capture medium-term opportunities by combining the benefits of short-term responsiveness with the reliability of long-term trends.
c) Long-term Trends
Relies on extended historical market data to identify broader market trends, making it an excellent choice for traders focused on long-term strategies.
Minimum Star Rating: The Minimum Star Rating setting allows you to filter signals based on their strength, showing only those that meet or exceed your chosen threshold. For instance, setting the minimum star rating to 3 ensures you only receive signals with a rating of 3 stars or higher.
3. Take Profit / Stop Loss Methods
Key Levels
The Key Levels method uses pivot points to set take profit and stop-loss levels. The TP and SL levels are shown when a new signal is generated.
Volatility Bands
This TP/SL method uses the Volatility Bands overlay to set dynamic TP and SL levels. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Signal Rating
Sets take profit and stop-loss levels based on changes in a signal's rating strength. These levels are not predetermined so they will not be shown in advance when a signal is generated.
Auto Stop-Loss
The auto method can only be applied to the SL. The auto method allows the algorithm to detect SL automatically when a momentum shift is detected. You can adjust the risk tolerance of the Auto SL by adjusting the ‘Auto Risk Tolerance’ setting. You can choose between Low, Medium, and High. A high-risk tolerance will result in stop losses being triggered less often.
4. Entry Conditions for Long & Short Trades
Multiple Conditions (1-6): Configure up to six independent conditions per trade direction.
Timeframe Specification: Choose between timeframes for Buy & Sell signals.
Trade Execution Filters: Restrict trades within specific trading sessions.
5. Exit Conditions for Long & Short Trades
Exit on Opposite Signal: Automatically exit trades upon opposite trade conditions.
Exit on Session End: Closes all positions at the end of the trading session.
Multiple Take-Profit (TP) and Stop-Loss (SL) Configurations:
TP/SL based on % move, ATR, Ticks, or Fixed Price.
Hard SL option for additional risk control.
Move SL to BE (Break Even) after a certain profit threshold.
Altcoins DCA ScalperIntroduction
The Altcoins DCA Scalper is a Pine Strategy Script designed to automate Altcoins trading through 3Commas integration. It implements a Dollar-Cost Averaging (DCA) strategy that expands upon 3Commas' standard DCA capabilities, helping to manage risk while trading both long and short positions automatically.
This tool aims to assist both beginners exploring automated trading and experienced 3Commas users seeking dynamic DCA automation. The script is specifically designed for the 1-minute timeframe , where it has shown a good balance between performance and risk management. Complete setup typically takes less than 10 minutes, with a detailed guide making configuration straightforward for users of all experience levels.
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🔶 What is DCA?
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Dollar-cost averaging (DCA) refers to the practice of gradually increasing your position size at lower prices when trading long, or at higher prices when trading short, to achieve a better average entry price if the market moves against the initial entry . Instead of investing all capital at once, which could result in a significant drawdown if the price moves unfavorably, DCA spreads entries across different price levels to help manage potential drawdowns as they occur.
In this script, DCA is implemented through a system that:
🔹 Triggers safety orders only when/if needed (if take profit isn't reached quickly)
🔹 Dynamically adjusts order sizing based on market volatility
🔹 Automatically reduces take profit targets after each DCA order to increase the likelihood of a positive outcome
🔹 Can handle drawdowns depending on market volatility and settings
The images below illustrate two scenarios: one where an entry reaches the take profit directly, without activating DCA orders, and another where DCA is utilized, with the order closing positively after two DCA orders.
Case 1: Order closes in profit after entry
Case 2: Order closes in profit after 2 DCA orders (dynamically placed based on trend and volatility)
This DCA implementation aims to enhance standard 3Commas DCA by adding market-adaptive features while maintaining risk management principles.
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🔶 Could this strategy script benefit you?
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This script may be helpful if you are:
✅ Looking to automate your trading through 3Commas integration while maintaining full control of your assets
✅ Wanting to enhance 3Commas' standard DCA with market-adaptive features that consider:
Multi-timeframe trend analysis
Real-time volatility assessment
Dynamic safety order sizing and timing
✅ Seeking to minimize chart monitoring through full automation of:
Entry and exit decisions
Safety order management
Risk controls
✅ Interested in comprehensive performance tracking with:
Real-time position metrics
Detailed backtesting capabilities
Risk/reward analysis
Backtesting Metrics (script performance over the backtesting period - which is approx. 15 days on the 1min timeframe with the TradingView Pro Plan):
Current/Open Deal Metrics (the deal is currently under DCA, and waiting for further actions to close):
✅ Looking for trading automation that remains easy to set up and use
Note: While this script provides trading automation, successful trading requires proper education, risk management, and regular performance monitoring. No automated tool can guarantee trading success or profits.
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🔶 How it Works
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The Altcoins DCA Scalper provides trading automation through:
Market Analysis
* Multi-timeframe trend analysis (1m to 1d) for market direction and entry validation
* Volatility assessment (1h, 4h, 24h) benchmarked against TOTAL3 (excluding Top10 Altcoins and Stablecoins)
* Real-time adjustment of DCA parameters based on:
* Current volatility class (low/medium/high) vs. overall Altcoins market
* Market trend strength
* Price action dynamics
Trading Execution
* Position opening aligned with detected market trends
* "Beast Mode" base order sizing that increases position size during strong trends
* Dynamic take-profit targets that automatically reduce after each safety order to increase the likelihood of positive exits
* Dynamic DCA with safety orders that can:
* Adapt timing based on volatility
* Scale order sizes based on market conditions
* Handle 30-50% drawdowns depending on volatility class
* Execute up to 6 safety orders per position
Risk Management
* Emergency exits during extreme market events:
* "Black Swan" protection for long positions
* "God-Candle" protection for short positions
* Configurable stop-loss with volatility-based placement
* Trend-switch management with automated position reversal
* Position aging controls to prevent capital lock-up
* Leveraged trading protection with a pre-liquidation exit system
Integration & Automation
* Quick setup with two 3Commas bots (typically under 10 minutes)
* Fully automated signal generation and execution through 3Commas
* Detailed performance tracking including:
* Real-time position metrics
* DCA depth analysis
* Win rate and ROE calculations
* Pre-configured settings optimized for most pairs
* Multiple customization options for experienced users
Note: While this strategy employs automation and risk management, trading always carries the risk of loss. No system can guarantee profits, and market conditions significantly impact performance. Always do your own research and monitor your positions closely.
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How to Use
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Setting up the Altcoins DCA Scalper is quick and facilitated by the User Interface:
1️⃣ 3Commas/TradingView Setup
* Create two 3Commas accounts if using the FREE plan:
* One account for Long Bot
* One account for Short Bot
* This split allows full functionality while staying within 3Commas' free tier limits
* You do not need two separate accounts if you have a Paid 3Commas subscription
* While a free TradingView account works with the script, it limits you to one trading pair and a 4-day backtesting history. A paid TradingView subscription removes these limitations (such as the "Essential" plan).
2️⃣ Bot Configuration
* Create one Long and one Short DCA Bot in 3Commas
* Follow the setup guide available in the script itself for hassle-free configuration
* Copy Bot IDs and Email Token for script connection
* No complex settings needed - the script manages all DCA parameters by itself
3️⃣ Script Implementation
* Apply the script to your TradingView charts
* Use the built-in backtesting to analyze performance on different pairs
* Focus on USDT.P futures pairs with good volatility
4️⃣ Trading Activation
* Create TradingView alerts for each trading pair you want to activate
* Example: Set an alert for BINANCE: XRPUSDT.P following the in-script guide
* The script automatically manages all aspects:
* Entry and exit decisions
* DCA execution
* Risk management
* Position monitoring
Capital Requirements
* Important: Ensure sufficient capital to cover all activated pairs
* Consider volatility class when allocating capital to specific pairs
Once setup is complete, the script operates fully automatically while you maintain complete control of your funds through 3Commas and your exchange.
Note: While the setup is straightforward, always start with a small number of pairs and monitor performance before expanding. Trade responsibly and never risk more than you can afford to lose.
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Explaining the Settings
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The Altcoins DCA Scalper offers mulitple customization options during the setup process. All settings include detailed tooltips and default values.
Core Settings Sections:
1️⃣ 3Commas Connection
* Bot IDs and Email Token configuration
* Leverage settings (1x to 5x supported)
* Detailed 3Commas bot setup guide included
* Automatic bot control configuration
2️⃣ Trading Parameters
* Capital allocation per trade
* Timeframe verification
* Alert system setup
* Backtesting period control
* Performance tracking preferences
3️⃣ Advanced Features
🔹 Risk Management Suite
* Emergency exit controls (to strengthen protection against extraordinary market events)
* Customizable stop-loss system
* Trend-based exit management
* Position aging controls
* Liquidation protection features
* Advanced DCA controls
🔹 Performance Analytics
* Real-time position monitoring
* Comprehensive backtesting metrics
* DCA depth analysis
* Win rate calculations
* Capital efficiency tracking
🔹 Technical Optimizations
* Exchange minimum order adjustment
* Trading pair name override capability
* System stability controls
* Error handling mechanisms
🔹 Interface Customization
* Theme selection
* Chart overlay options
* Warning display preferences
* Performance metrics visibility
All settings come pre-configured but can be fully customized based on your trading preferences and risk tolerance. The script includes tooltips and setup guides for each option.
Note: While default settings may be tested, market conditions vary and all trading involves risk. Monitor performance and adjust settings according to your risk management requirements.
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Frequently Asked Questions
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Here are some common questions you may have, and our answers:
❓ Is this tool only for experts? I'm new to algo trading, can I use it?
No, the Altcoins DCA Scalper could be used by both beginners and experienced traders. The setup process is guided, and the algorithm handles all the calculations in the background.
❓ I'm not familiar with 3Commas. Is that a problem?
While the script is designed to work with 3Commas, a step-by-step guide is provided within the script to help you set up your 3Commas accounts and bots, if needed.
❓ Do I need to constantly monitor the script after it's set up?
No, after the initial setup and configuration, the script operates autonomously. It handles all aspects of trading including entries, exits, DCA management, and risk controls. However, we recommend:
* Checking performance metrics daily
* Reviewing position statistics weekly
* Adjusting pair selection monthly based on performance
* Monitoring overall market conditions that might require adjustments
❓ Can I use it with leverage?
Yes, the script is designed to work with leverage up to 5x on perpetual futures pairs (USDT.P). It includes specific features for leveraged trading:
* Dynamic safety order placement based on distance to liquidation
* Pre-liquidation exit system to minimize exchange fees
* Adjustable take-profit targets optimized for leveraged positions
* Emergency exit system for extreme market movements
* Optional risk controls specific to leverage:
* Automatic exit in the liquidation danger zone
* Position size scaling based on leverage level
* Safety order adjustments for different leverage settings
While leverage can amplify returns, it also increases risk. We recommend starting with lower leverage (2x), or no leverage at all, until familiar with the script's operation.
❓ Does this script guarantee profits?
No, no script or trading strategy can guarantee profits. The Altcoins DCA Scalper provides a framework for implementing an automated DCA strategy, but your success will depend on many different factors and conditions.
❓ Do I need to understand the complex algorithms used in the script?
No, it’s not necessary. The logic is handled by the script, and you do not need to understand every detail to use it effectively. However, a basic knowledge of DCA concepts will be beneficial.
❓ Can I use this script with spot or leveraged trades?
The script is optimized for USDT.P pairs (perpetual futures) with leverage up to 5x. This allows:
* Automatic long/short position management
* Increased capital utilization
* Full DCA functionality without holding the underlying assets
* Enhanced risk management features specific to futures
While spot trading is possible, it requires holding underlying assets for shorts and doesn't access the script's full capabilities.
❓What timeframe should I use?
This script is optimized for the 1-minute timeframe , which is the recommended setting for the best balance between performance, capital efficiency, and risk. While we recommend using the tool on the 1 minute TF, it would work on other timeframes too.
❓ What happens if my internet/computer goes down?
Since the script sends signals from Tradingview to 3Commas (which executes trades on your exchange), your positions and DCA management continue to function even if your TradingView chart is closed or your computer is off. The script only needs to be active to generate new signals.
❓ How are the DCA parameters determined?
The script dynamically adjusts DCA parameters based on:
* The pair's volatility class (compared to the overall altcoin market)
* Current market conditions and volatility
* Position direction (long/short)
* Leverage settings
* Number of safety orders already executed
This allows for adaptive/dynamic DCA compared to static or %-based parameters.
❓ What exchanges are supported?
The script works with any exchange supported by 3Commas for futures trading (approximately 15 different crypto Exchanges). However, it's optimized for Binance Futures (USDT.P pairs) due to its high liquidity and for consistency.
❓ What happens during extreme market conditions?
The script includes some (optional) protective measures that can be activated:
* Emergency exits during sharp and abnormal market moves
* Automatic adjustment of DCA parameters during high volatility
* Position closure on significant trend changes
* Special handling of aged positions
These features aim to protect capital during unusual market conditions.
❓How many pairs can I trade simultaneously?
This depends on your total capital. As a general indication, define the number of pairs to activate based on:
* Total available capital
* Desired position size per pair
* Risk tolerance
* Pairs' volatility class
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Final Thoughts
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We believe that your trading performance will greatly depend on your selection of appropriate trading pairs for this script (high volatility), and your commitment to regularly monitoring its performance and adjust the settings, rather than on the script alone.
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⚠️ Risk Disclaimer
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Remember that trading involves risk, and most day traders experience losses. This script is for educational and informational purposes only. Past performance does not guarantee future results. This is not financial advice, and you should always do your own research (DYOR). Trade responsibly with capital you can afford to lose.
The Altcoins DCA Scalper is an independent tool and is not endorsed, connected, or validated by TradingView.
3Commas is a third-party service, and TradingView is not responsible for the 3Commas integration or the performance of 3Commas bots. You are solely responsible for the security and management of your 3Commas account. Do not share your 3Commas access credentials (like login information, Bots-ID, Email Token) with anyone. The Author of the script has no access to such information, and nobody (but you) should.
FXC NQ Opening Range Breakout Strategy V2.4Mechanical Strategy that trades breakouts on NQ futures on the 15min timeframe during the NYSE session. It's designed to manage Apex and Top Step accounts with the lowest risk possible.
Risk Disclaimer:
Past results as well as strategy tester reports do not indicate future performance. Guarantees do not exist in trading. By using this strategy you risk losing all your money.
Important:
It only trades on Monday, Wednesday and Friday and takes usually only 1 trade per trading day.
It works on the 15min timeframe only.
The settings are optimised already for NQ but feel free to change them.
How it works:
Every selected trading day it measures the range of the first 15min candle after the NYSE open. As soon as price closes above on the 15min timeframe, it will trade the breakout targeting a set risk to reward ratio. SL on the opposite side of the range. It will trail the SL after a set amount of points and uses a buffer of the set amount of points to trail it.
Settings:
Opening Range Time : This is the time of the day in hours and minutes when the strategy starts looking for trades. It's in the EST/ NY Timezone and set to 9:30-09:45 by default
because that's the NYSE open.
Session Time : This is the time of the day in hours and minutes until the strategy trades. It's in the EST/ NY Timezone and set to 09:45-14:45 by default.
because that's what gave the best results in backtesting. Open trades will get closed automatically once the end of the session is reached. No matter if win or loss. This is just to prevent holding positions over night.
Session Border This setting is to select the border color in which the session box will be plotted.
Opening Range Box This setting is to select the fill color of the opening range box.
Opening Range Border This setting is to select the border color of the session box.
Trade Timeframe This setting determines on which timeframe candle has to close outside the opening range box in order to take a trade. It's set to 15min by default because this is what worked by far the best in backtests and live trading.
Stop Loss Buffer in Points: This is simply the buffer in points that is added to the SL for safety reasons. If you have it on 0, the SL will be at the exact price of the opposite side of the range. By default it's set to 0 pips because this is what delivered the best results in backtests.
Profit Target Factor: This is simply the total SL size in points multiplied by x.
Example: If you put 2, you get a 1:2 Risk to Reward Ratio. By Default it's set to 4 because this gave the best results in backtests, because trades always get closed either by trailing SL or because the end of the session is reached.
Use Trailing Stop Loss: This setting is to enable/ disable the trailing stop loss. It's enabled by default because this is a fundamental part of the strategy.
Trailing Stop Buffer: This setting determines after how many points in profit the trailing SL will be activated.
Risk Type: You can chose either between Fixed USD Amount, Risk per Trade in % or Fixed Contract Size. By default it's set to fixed contract size.
Risk Amount (USD or Contracts): This setting is to set how many USD or how many contracts you want to risk per trade. Make sure to check which risk type you have selected before you chose the risk amount.
Use Limit Orders If enabled, the strategy will place a pending order x points from the current price, instead of a market order. Limit orders are enabled by default for a better performance. Important: It doesn't actually place a limit order. The strategy will just wait for a pullback and then enter with a market order. It's more like a hidden limit order.
Limit Order Distance (points): If you have limit orders enabled, this setting determines how many points from the current price the limit order will be placed.
Trading Days: These checkboxes are to select on which week days the strategy has to trade. Thursday is disabled by default because backtests have shown that Thursday is the least profitable day
Backtest Settings:
For the backtest the commissions ere set to 0.35 USD per mini contract which is the highest amount Tradeovate charges. Margin was not accounted for because typically on Apex accounts you can use way more contracts than you need for the extremely low max drawdown. Margin would be important on personal accounts but even there typically it's not an issue at all especially because this strategy runs on the 15min timeframe so it won't use a lot of contracts anyways.
What makes it unique:
This script is unique because it's designed to be used on Apex and Top Step accounts with extremely strict drawdown rules.
The strategy is optimised to be traded with a fixed contract size instead of using % risk. The reason for that is that the drawdown rules of these Futures Prop Accounts are very strict and the fact that the smallest trade-able contract size is 1.
Why the source code is hidden:
The source code is hidden because I invested a lot of time and money into developing this strategy and optimising it with paid 3rd party software. Also since I use it myself on my Apex accounts and prop firms don't allow copy trading I don't want it to be used by too many traders.
PineConnectorLibrary "PineConnector"
This library is a comprehensive alert webhook text generator for PineConnector. It contains every possible alert syntax variation from the documentation, along with some debugging functions.
To use it, just import the library (eg. "import ZenAndTheArtOfTrading/PineConnector/1 as pc") and use pc.buy(licenseID) to send an alert off to PineConnector - assuming all your webhooks etc are set up correctly.
View the PineConnector documentation for more information on how to send the commands you're looking to send (all of this library's function names match the documentation).
all()
Usage: pc.buy(pc_id, freq=pc.all())
Returns: "all"
once_per_bar()
Usage: pc.buy(pc_id, freq=pc.once_per_bar())
Returns: "once_per_bar"
once_per_bar_close()
Usage: pc.buy(pc_id, freq=pc.once_per_bar_close())
Returns: "once_per_bar_close"
na0(value)
Checks if given value is either 'na' or 0. Useful for streamlining scripts with float user setting inputs which default values to 0 since na is unavailable as a user input default.
Parameters:
value (float) : The value to check
Returns: True if the given value is 0 or na
getDecimals()
Calculates how many decimals are on the quote price of the current market.
Returns: The current decimal places on the market quote price
truncate(number, decimals)
Truncates the given number. Required params: mumber.
Parameters:
number (float) : Number to truncate
decimals (int) : Decimal places to cut down to
Returns: The input number, but as a string truncated to X decimals
getPipSize(multiplier)
Calculates the pip size of the current market.
Parameters:
multiplier (int) : The mintick point multiplier (1 by default, 10 for FX/Crypto/CFD but can be used to override when certain markets require)
Returns: The pip size for the current market
toWhole(number)
Converts pips into whole numbers. Required params: number.
Parameters:
number (float) : The pip number to convert into a whole number
Returns: The converted number
toPips(number)
Converts whole numbers back into pips. Required params: number.
Parameters:
number (float) : The whole number to convert into pips
Returns: The converted number
debug(txt, tooltip, displayLabel)
Prints to console and generates a debug label with the given text. Required params: txt.
Parameters:
txt (string) : Text to display
tooltip (string) : Tooltip to display (optional)
displayLabel (bool) : Turns on/off chart label (default: off)
Returns: Nothing
order(licenseID, command, symbol, parameters, accfilter, comment, secret, freq, debug)
Generates an alert string. Required params: licenseID, command.
Parameters:
licenseID (string) : Your PC license ID
command (string) : Command to send
symbol (string) : The symbol to trigger this order on
parameters (string) : Other optional parameters to include
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: An alert string with valid PC syntax based on supplied parameters
market_order(licenseID, buy, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a market entry alert with relevant syntax commands. Required params: licenseID, buy, risk.
Parameters:
licenseID (string) : Your PC license ID
buy (bool) : true=buy/long, false=sell/short
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A market order alert string with valid PC syntax based on supplied parameters
buy(licenseID, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a market buy alert with relevant syntax commands. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A market order alert string with valid PC syntax based on supplied parameters
sell(licenseID, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a market sell alert with relevant syntax commands. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A market order alert string with valid PC syntax based on supplied parameters
closeall(licenseID, comment, secret, freq, debug)
Closes all open trades at market regardless of symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closealleaoff(licenseID, comment, secret, freq, debug)
Closes all open trades at market regardless of symbol, and turns the EA off. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelong(licenseID, symbol, comment, secret, freq, debug)
Closes all long trades at market for the given symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshort(licenseID, symbol, comment, secret, freq, debug)
Closes all open short trades at market for the given symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongshort(licenseID, symbol, comment, secret, freq, debug)
Closes all open trades at market for the given symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongbuy(licenseID, risk, symbol, comment, secret, freq, debug)
Close all long positions and open a new long at market for the given symbol with given risk/contracts. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk or contracts (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshortsell(licenseID, risk, symbol, comment, secret, freq, debug)
Close all short positions and open a new short at market for the given symbol with given risk/contracts. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : Risk or contracts (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltplong(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any open long trades on the given symbol with the given values. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpshort(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any open short trades on the given symbol with the given values. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongpct(licenseID, symbol, comment, secret, freq, debug)
Close a percentage of open long positions (according to EA settings). Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshortpct(licenseID, symbol, comment, secret, freq, debug)
Close a percentage of open short positions (according to EA settings). Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closelongvol(licenseID, risk, symbol, comment, secret, freq, debug)
Close all open long contracts on the current symbol until the given risk value is remaining. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : The quantity to leave remaining
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
closeshortvol(licenseID, risk, symbol, comment, secret, freq, debug)
Close all open short contracts on the current symbol until the given risk value is remaining. Required params: licenseID, risk.
Parameters:
licenseID (string) : Your PC license ID
risk (float) : The quantity to leave remaining
symbol (string) : Symbol to act on (defaults to current symbol)
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
limit_order(licenseID, buy, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a limit order alert with relevant syntax commands. Required params: licenseID, buy, price, risk.
Parameters:
licenseID (string) : Your PC license ID
buy (bool) : true=buy/long, false=sell/short
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A limit order alert string with valid PC syntax based on supplied parameters
buylimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a buylimit order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A limit order alert string with valid PC syntax based on supplied parameters
selllimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a selllimit order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A limit order alert string with valid PC syntax based on supplied parameters
stop_order(licenseID, buy, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a stop order alert with relevant syntax commands. Required params: licenseID, buy, price, risk.
Parameters:
licenseID (string) : Your PC license ID
buy (bool) : true=buy/long, false=sell/short
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
buystop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a buystop order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
sellstop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Generates a sellstop order alert with relevant syntax commands. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancel_neworder(licenseID, order, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancel + place new order template function.
Parameters:
licenseID (string) : Your PC license ID
order (string) : Cancel order type
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancellongbuystop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all long orders with the specified symbol and places a new buystop order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancellongbuylimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all long orders with the specified symbol and places a new buylimit order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancelshortsellstop(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all short orders with the specified symbol and places a sellstop order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancelshortselllimit(licenseID, price, risk, sl, tp, betrigger, beoffset, spread, trailtrig, traildist, trailstep, atrtimeframe, atrperiod, atrmultiplier, atrshift, atrtrigger, symbol, accfilter, comment, secret, freq, debug)
Cancels all short orders with the specified symbol and places a selllimit order. Required params: licenseID, price, risk.
Parameters:
licenseID (string) : Your PC license ID
price (float) : Price or pips to set limit order (according to EA settings)
risk (float) : Risk quantity (according to EA settings)
sl (float) : Stop loss distance in pips or price
tp (float) : Take profit distance in pips or price
betrigger (float) : Breakeven will be activated after the position gains this number of pips
beoffset (float) : Offset from entry price. This is the amount of pips you'd like to protect
spread (float) : Enter the position only if the spread is equal or less than the specified value in pips
trailtrig (float) : Trailing stop-loss will be activated after a trade gains this number of pips
traildist (float) : Distance of the trailing stop-loss from current price
trailstep (float) : Moves trailing stop-loss once price moves to favourable by a specified number of pips
atrtimeframe (int) : ATR Trailing Stop timeframe, only updates once per bar close. Options: 1, 5, 15, 30, 60, 240, 1440
atrperiod (int) : ATR averaging period
atrmultiplier (float) : Multiple of ATR to utilise in the new SL computation, default = 1
atrshift (int) : Relative shift of price information, 0 uses latest candle, 1 uses second last, etc. Default = 0
atrtrigger (int) : Activate the trigger of ATR Trailing after market moves favourably by a number of pips. Default = 0 (instant)
symbol (string) : The symbol to trigger this order on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment (maximum 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A stop order alert string with valid PC syntax based on supplied parameters
cancellong(licenseID, symbol, accfilter, comment, secret, freq, debug)
Cancels all pending long orders with the specified symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A cancel long alert command
cancelshort(licenseID, symbol, accfilter, comment, secret, freq, debug)
Cancels all pending short orders with the specified symbol. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: A cancel short alert command
newsltpbuystop(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending buy stop orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpbuylimit(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending buy limit orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpsellstop(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending sell stop orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
newsltpselllimit(licenseID, sl, tp, symbol, accfilter, comment, secret, freq, debug)
Updates the stop loss and/or take profit of any pending sell limit orders on the given symbol. Required params: licenseID, sl and/or tp.
Parameters:
licenseID (string) : Your PC license ID
sl (float) : Stop loss pips or price (according to EA settings)
tp (float) : Take profit pips or price (according to EA settings)
symbol (string) : Symbol to act on (defaults to current symbol)
accfilter (float) : Optional minimum account balance filter
comment (string) : Optional comment to include (max 20 characters)
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
eaoff(licenseID, secret, freq, debug)
Turns the EA off. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
eaon(licenseID, secret, freq, debug)
Turns the EA on. Required params: licenseID.
Parameters:
licenseID (string) : Your PC license ID
secret (string) : Optional secret key (must be enabled in dashboard)
freq (string) : Alert frequency. Default = "all", options = "once_per_bar", "once_per_bar_close" and "none"
debug (bool) : Turns on/off debug label
Returns: The required alert syntax as a string
Combined EMA, SMMA, and 60-Day Cycle Indicator V2What This Script Does:
This script is designed to help traders visualize market trends and generate trading signals based on a combination of moving averages and price action. Here's a breakdown of its components and functionality:
Moving Averages:
EMAs (Exponential Moving Averages): These are indicators that smooth out price data to help identify trends. The script uses several EMAs:
200 EMA: A long-term trend indicator.
400 EMA: An even longer-term trend indicator.
55 EMA: A medium-term trend indicator.
89 EMA: Another medium-term trend indicator.
SMMA (Smoothed Moving Average): Similar to EMAs but with different smoothing. The script calculates:
21 SMMA: Short-term smoothed average.
9 SMMA: Very short-term smoothed average.
Cycle High and Low:
60-Day Cycle: The script looks back over the past 60 days to find the highest price (cycle high) and the lowest price (cycle low). These are plotted as horizontal lines on the chart.
Color-Coded Clouds:
Clouds: The script fills the area between certain EMAs with color-coded clouds to visually indicate trend conditions:
200 EMA vs. 400 EMA Cloud: Green when the 200 EMA is above the 400 EMA (bullish trend) and red when it’s below (bearish trend).
21 SMMA vs. 9 SMMA Cloud: Orange when the 21 SMMA is above the 9 SMMA and green when it’s below.
55 EMA vs. 89 EMA Cloud: Light green when the 55 EMA is above the 89 EMA and red when it’s below.
Trading Signals:
Buy Signal: This is shown when:
The price crosses above the 60-day low and
The EMAs indicate a bullish trend (e.g., the 200 EMA is above the 400 EMA and the 55 EMA is above the 89 EMA).
Sell Signal: This is shown when:
The price crosses below the 60-day high and
The EMAs indicate a bearish trend (e.g., the 200 EMA is below the 400 EMA and the 55 EMA is below the 89 EMA).
How It Helps Traders:
Trend Visualization: The colored clouds and EMA lines help you quickly see whether the market is in a bullish or bearish phase.
Trading Signals: The script provides clear visual signals (buy and sell labels) based on specific market conditions, helping you make more informed trading decisions.
In summary, this script combines several tools to help identify market trends and provide buy and sell signals based on price action relative to a 60-day high/low and the positioning of moving averages. It’s a useful tool for traders looking to visualize trends and automate some aspects of their trading strategy.
Machine Learning Signal FilterIntroducing the "Machine Learning Signal Filter," an innovative trading indicator designed to leverage the power of machine learning to enhance trading strategies. This tool combines advanced data processing capabilities with user-friendly customization options, offering traders a sophisticated yet accessible means to optimize their market analysis and decision-making processes. Importantly, this indicator does not repaint, ensuring that signals remain consistent and reliable after they are generated.
Machine Learning Integration
The "Machine Learning Signal Filter" employs machine learning algorithms to analyze historical price data and identify patterns that may not be immediately apparent through traditional technical analysis. By utilizing techniques such as regression analysis and neural networks, the indicator continuously learns from new data, refining its predictive capabilities over time. This dynamic adaptability allows the indicator to adjust to changing market conditions, potentially improving the accuracy of trading signals.
Key Features and Benefits
Dynamic Signal Generation: The indicator uses machine learning to generate buy and sell signals based on complex data patterns. This approach enables it to adapt to evolving market trends, offering traders timely and relevant insights. Crucially, the indicator does not repaint, providing reliable signals that traders can trust.
Customizable Parameters: Users can fine-tune the indicator to suit their specific trading styles by adjusting settings such as the temporal synchronization and neural pulse rate. This flexibility ensures that the indicator can be tailored to different market environments.
Visual Clarity and Usability: The indicator provides clear visual cues on the chart, including color-coded signals and optional display of signal curves. Users can also customize the table's position and text size, enhancing readability and ease of use.
Comprehensive Performance Metrics: The indicator includes a detailed metrics table that displays key performance indicators such as return rates, trade counts, and win/loss ratios. This feature helps traders assess the effectiveness of their strategies and make data-driven decisions.
How It Works
The core of the "Machine Learning Signal Filter" is its ability to process and learn from large datasets. By applying machine learning models, the indicator identifies potential trading opportunities based on historical data patterns. It uses regression techniques to predict future price movements and neural networks to enhance pattern recognition. As new data is introduced, the indicator refines its algorithms, improving its accuracy and reliability over time.
Use Cases
Trend Following: Ideal for traders seeking to capitalize on market trends, the indicator helps identify the direction and strength of price movements.
Scalping: With its ability to provide quick signals, the indicator is suitable for scalpers aiming for rapid profits in volatile markets.
Risk Management: By offering insights into trade performance, the indicator aids in managing risk and optimizing trade setups.
In summary, the "Machine Learning Signal Filter" is a powerful tool that combines the analytical strength of machine learning with the practical needs of traders. Its ability to adapt and provide actionable insights makes it an invaluable asset for navigating the complexities of financial markets.
The "Machine Learning Signal Filter" is a tool designed to assist traders by providing insights based on historical data and machine learning techniques. It does not guarantee profitable trades and should be used as part of a comprehensive trading strategy. Users are encouraged to conduct their own research and consider their financial situation before making trading decisions. Trading involves significant risk, and it is possible to lose more than the initial investment. Always trade responsibly and be aware of the risks involved.
Crypto Punk [Bot] (Zeiierman)█ Overview
The Crypto Punk (Zeiierman) is a trading strategy designed for the dynamic and volatile cryptocurrency market. It utilizes algorithms that incorporate price action analysis and principles inspired by Geometric Brownian Motion (GBM). The bot's core functionality revolves around analyzing differences in high and low prices over various timeframes, estimating drift (trend) and volatility, and applying this information to generate trading signals.
█ How to use the Crypto Punk Bot
Utilize the Crypto Punk Bot as a technical analysis tool to enhance your trading strategy. The signals generated by the bot can serve as a confirmation of your existing approach to entering and exiting the market. Additionally, the backtest report provided by the bot is a valuable resource for identifying the optimal settings for the specific market and timeframe you are trading in.
One method is to use the bot's signals to confirm entry points around key support and resistance levels.
█ Key Features
Let's explain how the core features work in the strategy.
⚪ Strategy Filter
The strategy filter plays a vital role in the entries and exits. By setting this filter, the bot can identify higher or lower price points at which to execute trades. Opting for higher values will make the bot target more long-term extreme points, resulting in fewer but potentially more significant signals. Conversely, lower values focus on short-term extreme points, offering more frequent signals focusing on immediate market movements.
How is it calculated?
This filter identifies significant price points within a specified dynamic range by applying linear regression to the absolute deviation of the range, smoothing out fluctuations, and determining the trend direction. The algorithm then normalizes the data and searches for extreme points.
⚪ External AI filter
The external AI filter allows traders to incorporate two external sources as signal filters. This feature is particularly useful for refining their signal accuracy with additional data inputs.
External sources can include any indicator applied to your TradingView chart that produces a plot as an output, such as a moving average, RSI, supertrend, MACD, etc. Traders can use these indicators of their choice to set filters for screening signals within the strategy.
This approach offers traders increased flexibility to select filters that align with their trading style. For instance, one trader might prefer to take trades when the price is above a moving average, while another might opt for trades when the MACD is below the MACD signal line. These external filters enable traders to choose options that best fit their trading strategies. See the example below. Note that the input sources for the External AI filter can be any indicator applied to the chart, and the input source per se does not make this strategy unique. The AI filter takes the selected input source and applies our function to it. So, if a trader selects RSI as an input filter, RSI is not unique, but how the source is computed within the AI functions is.
How is it calculated?
Once the external filters are selected and enabled within the settings panel, our AI function is applied to enhance the filter's ability to execute trades, even when the set conditions of the filter are not met. For instance, if a trader wants to take trades only when the price is above a moving average, the AI filter can actually execute trades even if the price is below the moving average.
The filter works by combining k-nearest Neighbors (KNN) with Geometric Brownian Motion (GBM) involves first using GBM to model the historical price trends of an asset, identifying patterns of drift and volatility. KNN is then applied to compare the current market conditions with historical instances, identifying the closest matches based on similar market behaviors. By examining the drift values of these nearest historical neighbors, KNN predicts the current trend's direction.
The AI adaptability value is a setting that determines how flexible the AI algorithm is when applying the external AI filter. Setting the adaptability to 10 indicates minimal adaptability, suggesting that the bot will strictly adhere to the set filter criteria. On the other hand, a higher adaptability value grants the algorithm more leeway to "think outside the box," allowing it to consider signals that may not strictly meet the filter criteria but are deemed viable trading opportunities by the AI.
█ Examples
In this example, the RSI is used to filter out signals when the RSI is below the smoothing line, indicating that prices are declining.
Note that the external filter is specifically designed to work with either 'LONG ONLY' or 'SHORT ONLY' modes; it does not apply when the bot is set to trade on 'BOTH' modes. For 'LONG ONLY' positions, the filter criteria are met when source 1 is greater than source 2 (source 1 >= source 2). Conversely, for 'SHORT ONLY' positions, the filter criteria require source 1 to be less than source 2 (source 1 <= source 2).
Examples of Filter Usage:
Long Signals: To receive long signals when the closing price is higher than a moving average, set Source 1 to the 'close' price and Source 2 to a moving average value. This setup ensures that signals are generated only when the closing price exceeds the moving average, indicating a potential upward trend.
█ Settings
⚪ Set Timeframe
Choosing the correct entry and exit timeframes is crucial for the bot's performance. The general guideline is to select a timeframe that is higher than the one currently displayed on the trading chart but still relatively close in duration. For instance, if trading on a 1-minute chart, setting the bot's Timeframe to 5 minutes is advisable.
⚪ Entry
Traders have the flexibility to configure the bot according to their trading strategy, allowing them to choose whether the bot should engage in long positions only, short positions only or both. This customization ensures that the bot aligns with the trader's market outlook and risk tolerance.
⚪ Pyramiding
Pyramiding functionality is available to enhance the bot's trading strategy. If the current position experiences a drawdown by a specified number of points, the bot is programmed to add new positions to the existing one, potentially capitalizing on lower prices to average down the entry cost. To utilize this feature, access the settings panel, navigate to 'Properties,' and look for 'Pyramiding' to specify the number of times the bot can re-enter the market (e.g., setting it to 2 allows for two additional entries).
⚪ Risk Management
The bot incorporates several risk management methods, including a regular stop loss, trailing stop, and risk-reward-based stop loss and exit strategies. These features assist traders in managing their risk.
Stop Loss
Trailing Stop
⚪ Trading on specific days
This feature allows trading on specific days by setting which days of the week the bot can execute trades on. It enables traders to tailor their strategies according to market behavior on particular days.
⚪ Alerts
Alerts can be set for entry, exit, and risk management. This feature allows traders to automate their trading strategy, ensuring timely actions are taken according to predefined criteria.
█ How is Crypto Punk calculated?
The Crypto Punk Bot is a trading bot that utilizes a combination of price action analysis and elements inspired by Geometric Brownian Motion (GBM) to generate buy and sell signals for cryptocurrencies. The bot focuses on analyzing the difference between high and low prices over various timeframes, alongside estimates of drift (trend) and volatility derived from GBM principles.
Timeframe Analysis for Price Action
The bot examines multiple timeframes (e.g., daily, weekly) to identify the range between the highest and lowest prices within each period. This range analysis helps in understanding market volatility and the potential for significant price movements. The algorithm calculates the trading range by applying maximum and minimum functions to the set of prices over your selected timeframe. It then subtracts these values to determine the range's width. This method offers a quantitative measure of the asset's price volatility for the specified period.
Estimating Drift (Trend)
The bot estimates the drift component, which reflects the underlying trend or expected return of the cryptocurrency. The algorithm does this by estimating the drift (trend) using Geometric Brownian Motion (GBM), which involves determining an asset's average rate of return over time, reflecting the asset's expected direction of movement.
Estimating Volatility
Volatility is estimated by calculating the standard deviation of the logarithmic returns of the cryptocurrency's price over the same timeframe used for the drift calculation. Geometric Brownian Motion (GBM) involves measuring the extent of variation or dispersion in the returns of an asset over time. In the context of GBM, volatility quantifies the degree to which the price of an asset is expected to fluctuate around its drift.
Combining Drift and Volatility for Signal Generation
The bot uses the calculated drift and volatility to understand the current market conditions. A higher drift coupled with manageable volatility may indicate a strong upward trend, suggesting a potential buy signal. Conversely, a low or negative drift with increasing volatility might suggest a weakening market, triggering a sell signal.
█ Strategy Properties
This script backtest is done on the 1 hour chart Bitcoin, using the following backtesting properties:
Balance (default): 10 000 (default base currency)
Order Size: 10% of the equity
Commission: 0.05 %
Slippage: 500 ticks
Stop Loss: Risk Reward set to 1
These parameters are set to provide an accurate representation of the backtesting environment. It's important to recognize that default settings may vary for several reasons outlined below:
Order Size: The standard is set at one contract to facilitate compatibility with a wide range of instruments, including futures.
Commission: This fee is subject to fluctuation based on the specific market and financial instrument, and as such, there isn't a standard rate that will consistently yield accurate outcomes.
We advise users to customize the Script Properties in the strategy settings to match their personal trading accounts and preferred platforms. This adjustment is crucial for obtaining practical insights from the deployed strategies.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pro Momentum CalculatorThe Pro Momentum Calculator Indicator is a tool for traders seeking to gauge market momentum and predict future price movements. It achieves this by counting consecutive candle periods above or below a chosen Simple Moving Average (SMA) and then providing a percentage-based probability for the direction of the next candle.
Here's how this principle works:
1. Counting Consecutive Periods: The indicator continuously tracks whether the closing prices of candles are either above or below the chosen SMA.
- When closing prices are above the SMA, it counts consecutive periods as "green" or indicating potential upward momentum.
- When closing prices are below the SMA, it counts consecutive periods as "red" or suggesting potential downward momentum.
2. Assessing Momentum: By monitoring these consecutive periods, the indicator assesses the strength and duration of the current market trend.
This is important information for traders looking to understand the market's behavior.
3. Predicting the Next Candle: Based on the historical data of consecutive green and red periods, the indicator calculates a percentage probability for the direction of the next candle:
- If there have been more consecutive green periods, it suggests a higher likelihood of the next candle being green (indicating a potential upward movement).
- If there have been more consecutive red periods, it suggests a higher likelihood of the next candle being red (indicating a potential downward movement).
The Pro Momentum Calculator indicator's versatility makes it suitable for a wide range of financial markets, including stocks, Forex, indices, commodities, cryptocurrencies...
ATR GOD Strategy by TradeSmart (PineConnector-compatible)This is a highly-customizable trading strategy made by TradeSmart, focusing mainly on ATR-based indicators and filters. The strategy is mainly intended for trading forex , and has been optimized using the Deep Backtest feature on the 2018.01.01 - 2023.06.01 interval on the EUR/USD (FXCM) 15M chart, with a Slippage value of 3, and a Commission set to 0.00004 USD per contract. The strategy is also made compatible with PineConnector , to provide an easy option to automate the strategy using a connection to MetaTrader. See tooltips for details on how to set up the bot, and check out our website for a detailed guide with images on how to automate the strategy.
The strategy was implemented using the following logic:
Entry strategy:
A total of 4 Supertrend values can be used to determine the entry logic. There is option to set up all 4 Supertrend parameters individually, as well as their potential to be used as an entry signal/or a trend filter. Long/Short entry signals will be determined based on the selected potential Supertrend entry signals, and filtered based on them being in an uptrend/downtrend (also available for setup). Please use the provided tooltips for each setup to see every detail.
Exit strategy:
4 different types of Stop Losses are available: ATR-based/Candle Low/High Based/Percentage Based/Pip Based. Additionally, Force exiting can also be applied, where there is option to set up 4 custom sessions, and exits will happen after the session has closed.
Parameters of every indicator used in the strategy can be tuned in the strategy settings as follows:
Plot settings:
Plot Signals: true by default, Show all Long and Short signals on the signal candle
Plot SL/TP lines: false by default, Checking this option will result in the TP and SL lines to be plotted on the chart.
Supertrend 1-4:
All the parameters of the Supertrends can be set up here, as well as their individual role in the entry logic.
Exit Strategy:
ATR Based Stop Loss: true by default
ATR Length (of the SL): 100 by default
ATR Smoothing (of the SL): RMA/SMMA by default
Candle Low/High Based Stop Loss: false by default, recent lowest or highest point (depending on long/short position) will be used to calculate stop loss value. Set 'Base Risk Multiplier' to 1 if you would like to use the calculated value as is. Setting it to a different value will count as an additional multiplier.
Candle Lookback (of the SL): 50 by default
Percentage Based Stop Loss: false by default, Set the stop loss to current price - % of current price (long) or price + % of current price (short).
Percentage (of the SL): 0.3 by default
Pip Based Stop Loss: Set the stop loss to current price - x pips (long) or price + x pips (short). Set 'Base Risk Multiplier' to 1 if you would like to use the calculated value as is. Setting it to a different value will count as an additional multiplier.
Pip (of the SL): 10 by default
Base Risk Multiplier: 4.5 by default, the stop loss will be placed at this risk level (meaning in case of ATR SL that the ATR value will be multiplied by this factor and the SL will be placed that value away from the entry level)
Risk to Reward Ratio: 1.5 by default, the take profit level will be placed such as this Risk/Reward ratio is met
Force Exiting:
4 total Force exit on custom session close options: none applied by default. If enabled, trades will close automatically after the set session is closed (on next candle's open).
Base Setups:
Allow Long Entries: true by default
Allow Short Entries: true by default
Order Size: 10 by default
Order Type: Capital Percentage by default, allows adjustment on how the position size is calculated: Cash: only the set cash amount will be used for each trade Contract(s): the adjusted number of contracts will be used for each trade Capital Percentage: a % of the current available capital will be used for each trade
ATR Limiter:
Use ATR Limiter: true by default, Only enter into any position (long/short) if ATR value is higher than the Low Boundary and lower than the High Boundary.
ATR Limiter Length: 50 by default
ATR Limiter Smoothing: RMA/SMMA by default
High Boundary: 1000 by default
Low Boundary: 0.0003 by default
MA based calculation: ATR value under MA by default, If not Unspecified, an MA is calculated with the ATR value as source. Only enter into position (long/short) if ATR value is higher/lower than the MA.
MA Type: RMA/SMMA by default
MA Length: 400 by default
Waddah Attar Filter:
Explosion/Deadzone relation: Not specified by default, Explosion over Deadzone: trades will only happen if the explosion line is over the deadzone line; Explosion under Deadzone: trades will only happen if the explosion line is under the deadzone line; Not specified: the opening of trades will not be based on the relation between the explosion and deadzone lines.
Limit trades based on trends: Not specified by default, Strong Trends: only enter long if the WA bar is colored green (there is an uptrend and the current bar is higher then the previous); only enter short if the WA bar is colored red (there is a downtrend and the current bar is higher then the previous); Soft Trends: only enter long if the WA bar is colored lime (there is an uptrend and the current bar is lower then the previous); only enter short if the WA bar is colored orange (there is a downtrend and the current bar is lower then the previous); All Trends: only enter long if the WA bar is colored green or lime (there is an uptrend); only enter short if the WA bar is colored red or orange (there is a downtrend); Not specified: the color of the WA bar (trend) is not relevant when considering entries.
WA bar value: Not specified by default, Over Explosion and Deadzone: only enter trades when the WA bar value is over the Explosion and Deadzone lines; Not specified: the relation between the explosion/deadzone lines to the value of the WA bar will not be used to filter opening trades.
Sensitivity: 150 by default
Fast MA Type: SMA by default
Fast MA Length: 10 by default
Slow MA Type: SMA
Slow MA Length: 20 by default
Channel MA Type: EMA by default
BB Channel Length: 20 by default
BB Stdev Multiplier: 2 by default
Trend Filter:
Use long trend filter 1: false by default, Only enter long if price is above Long MA.
Show long trend filter 1: false by default, Plot the selected MA on the chart.
TF1 - MA Type: EMA by default
TF1 - MA Length: 120 by default
TF1 - MA Source: close by default
Use short trend filter 1: false by default, Only enter long if price is above Long MA.
Show short trend filter 1: false by default, Plot the selected MA on the chart.
TF2 - MA Type: EMA by default
TF2 - MA Length: 120 by default
TF2 - MA Source: close by default
Volume Filter:
Only enter trades where volume is higher then the volume-based MA: true by default, a set type of MA will be calculated with the volume as source, and set length
MA Type: RMA/SMMA by default
MA Length: 200 by default
Date Range Limiter:
Limit Between Dates: false by default
Start Date: Jan 01 2023 00:00:00 by default
End Date: Jun 24 2023 00:00:00 by default
Session Limiter:
Show session plots: false by default, show market sessions on chart: Sidney (red), Tokyo (orange), London (yellow), New York (green)
Use session limiter: false by default, if enabled, trades will only happen in the ticked sessions below.
Sidney session: false by default, session between: 15:00 - 00:00 (EST)
Tokyo session: false by default, session between: 19:00 - 04:00 (EST)
London session: false by default, session between: 03:00 - 11:00 (EST)
New York session: false by default, session between: 08:00 - 17:00 (EST)
Trading Time:
Limit Trading Time: true by default, tick this together with the options below to enable limiting based on day and time
Valid Trading Days Global: 123567 by default, if the Limit Trading Time is on, trades will only happen on days that are present in this field. If any of the not global Valid Trading Days is used, this field will be neglected. Values represent days: Sunday (1), Monday (2), ..., Friday (6), Saturday(7) To trade on all days use: 123457
(1) Valid Trading Days: false, 123456 by default, values represent days: Sunday (1), Monday (2), ..., Friday (6), Saturday(7) The script will trade on days that are present in this field. Please make sure that this field and also (1) Valid Trading Hours Between is checked
(1) Valid Trading Hours Between: false, 1800-2000 by default, hours between which the trades can happen. The time is always in the exchange's timezone
All other options are also disabled by default
PineConnector Automation:
Use PineConnector Automation: false by default, In order for the connection to MetaTrader to work, you will need do perform prerequisite steps, you can follow our full guide at our website, or refer to the official PineConnector Documentation. To set up PineConnector Automation on the TradingView side, you will need to do the following:
1. Fill out the License ID field with your PineConnector License ID;
2. Fill out the Risk (trading volume) with the desired volume to be traded in each trade (the meaning of this value depends on the EA settings in Metatrader. Follow the detailed guide for additional information);
3. After filling out the fields, you need to enable the 'Use PineConnector Automation' option (check the box in the strategy settings);
4. Check if the chart has updated and you can see the appropriate order comments on your chart;
5. Create an alert with the strategy selected as Condition, and the Message as {{strategy.order.comment}} (should be there by default);
6. Enable the Webhook URL in the Notifications section, set it as the official PineConnector webhook address and enjoy your connection with MetaTrader.
License ID: 60123456789 by default
Risk (trading volume): 1 by default
NOTE! Fine-tuning/re-optimization is highly recommended when using other asset/timeframe combinations.
Hobbiecode - RSI + Close previous dayThis is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules:
1. If RSI(2) is less than 15, then enter at the close.
2. Exit on close if today’s close is higher than yesterday’s high.
If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe.
Please share any comment or idea below.
Have a good trading,
Ramón.
TENKAN SCALPER STRATEGYTENKAN SCALP is a fully automatic trading system.
It is a continuation of our previous ichimoku release. This time however we throw out the rule book and use ICHIMOKU in a very different way.
It applies non traditional money management tactics.
While most trading strategies rely on a stop loss and a take profit target to manage risk. This strategy uses either no stop loss at all or a time based stop loss.
You might ask yourself the question why would you keep a trade open if it goes against you? Here are a phew reasons why the script does what it does.
Forex Markets consolidate most of the time. If you wait long enough your Take Profit will get hit anyways most of the time
You don't have to risk everything per trade. I keep my orders small so to keep some powder to get into some more trades
All the extra trades you take while one trade is in drawdown limit the drawdown as they provide cashflow
On lower timeframes the markets are so chaotic that a stop loss is very likely to get hit by a wick
About backtest below
This backtest uses a spread of 2 pips for entries and a default position size of 100% of equity. This is only possible on exchanges where spread is low and you have 10:1 leverage or more. It does not represent results obtainable without leverage. Do take into account that there are a lot of forex exchanges that provide this leverage, however a 2 pip spread is not always guaranteed and only applies to major pairs.
This backtest does not use the TIME BASED STOPS functionality.
Always start with small position sizing and see how the strategy performs before adding risk.
Explanation of variables:
Chikou(lagging span): pink line, this is price plotted 26 bars ago. People ignore the power of this it is crucial to see how chikou behaves towards past price action as seen in the chart below where we got an entry at red arrow because chikou bounced from past fractal bottom.
Kijun-Sen(base line): Black line or color coded line. This is the equilibrium of last 26 candles. To me this is the most important line in the system as it attracts price.
Kijun = (Highest high of 26 periods + Lowest low of 26 periods) ÷ 2
Tenkan-Sen(conversion line): Blue line. This is the equilibrium of last 9 candles. In a strong uptrend price stays above this line.
Tenkan = (Highest high of 9 periods + Lowest low of 9 periods) ÷ 2
Senkou A (Leading span A)= Pink cloud line, this is the average of the 2 components projected 26 bars in the future.
Senkou A = (Tenkan + Kijun) ÷ 2
Senkou B (Leading span B) = Green cloud line, this is the 52 day equilibrium projected 26 bars in the future.
Senkou B = (Highest high of prior 52 periods + Lowest low of prior 52 periods) ÷ 2
projection: Script uses same function for variable calculation and substracts a number on each next bar as to make a projection of where the variable will be in future bars if price stayed the same. This works as ICHIMOKU calculations use the middle point of a past set of data. The shorter that amount of bars will be in line with the data that it will be restricted to in future if price stayed the same.
Detection of Market Environment
To enter trades the script uses a lot of ICHIMOKU concepts. Contrary to how most people trade ICHIMOKU this script takes an environment that ICHIMOKU identifies as trending upwards and shorts in that environment. The same will be applied to a downtrend where it will open LONGS.
List of CRITERIA for a trend:
Grapling Hook: this is a component based on the chikou span (closing price displaced 26 bars into the past). The script will use an ATR based range to define a possible future projection to the CHIKOU line. For a market to be bullish there should be no price action happening within this area. Market is free to move upwards. Vice versa for bearish .
Kumo Cloud: script will check if price is above the cloud for bullish trend and below cloud for bearish trend .
Chikou above Kijun: script will check if the chikou line is above the KIJUN line of 26 bars ago. This is further confirmation that price is trending high enough compared to it's past data. Vice versa for downtrend.
Kijun projection: script will check if past Kijun is lower than future projected Kijun. This to ensure we get an equilibrium in our favour in the future. Vice versa for downtrend
Tenkan projection: script will check if future Tenkan-sen will be higher than Kijun-sen for an uptrend. Vice versa for downtrend.
Cloud projection: script will check if in 9 bars the Senkou Span A will be higher than Senkou Span B for an uptrend. Vice versa for downtrend.
Example:
This script does not visualise the prediction lines like I show in the example. I show them here to clarify how the script works.
Usage
Backtests are not indicative of future results, although a trader may want to use a strategy script to have a deeper understanding of how their strategy responds to varying market conditions, or as a tool for identifying possible flaws for a strategy that may be indicative of good or bad performance in the future.
Strategy Settings:
Minimum Body Size (atr): this is the minimum ATR a signal bar needs to be for entry. This is useful because our TP is based on previous bar.
Lot size per trade: this setting does not impact backtest. It is used to for the signals to let tradingconnect.com know your position size.
Direction: do you want to trade longs or shorts. I personally use both a long bot and a short bot at the same time.
Positions Allowed: the amount of positions the script will keep open as a maximum. You do not want to open too many positions, this is for risk management.
Close all positions at drawdown: if total open positions loss gets to this % target it will close all positions.
MetaTrader Prefix: when the script sends a signal it will put this text right before the symbol name from syminfo.ticker
MetaTrader Suffix: when the script sends a signal it will put this text right after the symbol name from syminfo.ticker
Charts below are some examples on how the script handles orders on default settings:
without time based SL
with time based SL
how it handles pyramiding
www.tradingview.com
Tradingconnector.com:
For full automation of the forex market the script uses this connector to execute trade on MT4. The alerts the script sends using the alerts() function call are structured in a way tradingconnector will recognise and send directly to MT4. You can find documentation about this tool on their own website.
Personal recommendation is to start with a minimum lot size and track performance, if you are comfortable scale the size up. You can do that by increasing the lot size setting in the script and making a new alert. Make sure to delete the old one.
How to access
You can see the Author's Instructions below to visit our telegram to get more information on how to get access.
CryptoGraph Entry BuilderA complete system to generate buy & sell signals, based on multiple indicators, timeframes and assets
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🟣 How it works
This indicator allows you to create buy & sell signals, based on multiple trigger conditions, placed in one easy to use TradingView indicator to produce alerts, backtest, reduce risk and increase profitability. This script is especially designed to be used with the CryptoGraph Strategizer indicator. Signals produced by this indicator, can be used as external input with the CryptoGraph Strategizer, by adding both indicators to your chart and selecting "External Input" as entry source in the inputs of the Strategizer indicator. From that point on, buy & sell signals generated by the Entry Builder, will be used for backtesting.
Each trigger or filtering condition is selectable and able to be combined using the selection boxes.
Trigger or filter conditions can be used on a different timeframes, and with different assets or coin pairs. Make sure to set higher timeframe filters, to a higher timeframe than your chart timeframe.
🟣 How to use
• Add the indicator to your chart
• Select an indicator you woud like to use for entry analysis. Combine more indicators for more entry filtering
• Configure entry conditions per indicator. It is recommended to add and configure one indicator at a time
• Analyse your buy/sell entries
• Connect to CryptoGraph Strategizer as external input source for backtesting purposes
🟣 Indicator Filters
• ATR :
Average True Range (ATR) is a tool used in technical analysis to measure volatility .
Possible options for ATR entry filtering are an ATR value greater/smaller than your input variable for trade entries, or the ATR crossing your input variable for trade entries.
This enables the possibility to only enter positions when the market has a certain degree of volatility .
• ADX :
The Average Directional Index ( ADX ) helps traders determine the strength of a trend, not its actual direction. It can be used to find out whether the
market is ranging or starting a new trend.
Possible options for ADX entry filtering are an ADX value greater/smaller than your input variable for trade entries, or the ADX crossing your input variable for trade entries.
• OBV :
The On Balance Volume indicator (OBV) is used in technical analysis to measure buying and selling pressure. It is a cumulative indicator meaning that on days where price went up, that day's volume is added to the cumulative OBV total.
Possible options for OBV entry filtering are Regular, Hidden or Regular&Hidden divergences. Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
• Moving Average :
Moving Average (MA) is a price based, lagging (or reactive) indicator that displays the average price of a security over a set period of time. A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance .
Possible options for MA entry filtering are price being above/below Moving Average 1, price crossing up/down Moving Average 1, Moving Average 1 being above/below Moving Average 2 and Moving Average 1 crossing up/down Moving Average 2.
• Supertrend :
Supertrend (ST) is a trend-following indicator based on Average True Range (ATR). The calculation of its single line combines trend detection and volatility . It can be used to detect changes in trend direction and to position stops.
Possible options for ST entry filtering are Supertrend being in upward/downward direction, or Supertrend changing direction.
• RSI :
The Relative Strength Index ( RSI ) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements.
Possible options for RSI entry filtering are RSI being smaller/greater than your input value, or RSI crossing up/down your input value.
• Stochastic RSI :
The Stochastic RSI indicator ( Stoch RSI ) is essentially an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means that it is a measure of RSI relative to its own high/low range over a user defined period of time.
Possible options for Stoch RSI entry filtering are Stoch RSI crossing below or above your input value.
• VWAP Bands :
Volume Weighted Average Price ( VWAP ) is a technical analysis tool used to measure the average price weighted by volume . VWAP is typically used with intraday charts as a way to determine the general direction of intraday prices.
We use standard deviations, determined by user input, to create VWAP bands.
Possible options for VWAP long entry filtering are: price being below the lower VWAP band, price crossing back up the lower VWAP band or price crossing down the lower VWAP band.
Possible options for VWAP short entry filtering are: price being above the upper VWAP band, price crossing back down the upper VWAP band, or price crossing up the upper VWAP band.
• Bollinger Bands :
Bollinger Bands (BB) are a widely popular technical analysis instrument created by John Bollinger in the early 1980’s. Bollinger Bands consist of a band of three lines which are plotted in relation to security prices. The line in the middle is usually a Simple Moving Average ( SMA ) set to a period of 20 days (the type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular).
Possible options for BB long entry filtering are: price being below the lower Bollinger band , price crossing back up the lower Bollinger band or price crossing down the lower Bollinger band .
Possible options for BB short entry filtering are: price being above the upper Bollinger band , price crossing back down the upper Bollinger band , or price crossing up the upper Bollinger band .
• WaveTrend :
WaveTrend (WT) is a smoothed momentum oscillator which enables it to detect true reversals in an accurate manner.
Possible options for WT entry filtering are: Green/red dots below or above a certain WaveTrend value, Regular Divergence, Hidden Divergence and Regular&Hidden Divergence.
CryptoGraph StrategizerA complete system to backtest and automate comprehensive trading strategies
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🟣 How it works
This indicator allows you to use buy & sell signals from external CryptoGraph indicators, and fully backtest these signals in the TradingView strategy tester. After configuring buy & sell signals, the trader can look into exit criteria with this indicator. The indicator offers percentage based an ATR based take profit/stop losses, as well as safety orders (DCA) in order to get a better average entry price.
Once your strategy is fully set up to your desired results, it's possible to set up alerts and connect the indicator through an automation platform ( API connection), to your broker. Alertatron & Wick Hunter auto configuration is included, meaning everything configured in the indicator settings, will automatically be carried out with Alertatron & Wick Hunter syntaxes.
🟣 Features
• Multiple methods of scaling in entries (Multiple DCA/Pyramiding methods). There will be an option to scale up or down your volume per order and distance between orders.
• Multiple methods of determining order sizes. Methods are percentage risk per trade, dollar risk per trade, position size in contracts, position size in percentage and position size in dollar.
• Multiple methods and levels of taking profits and losses. Both percentage based and ATR based take profit and stop loss.
• Option to use external indicator buy/sell signals for entry.
• Visualised liquidation prices in TradingView (both cross and isolated)
• Information panel on chart with additional information regarding your strategy results
• Bot setup directly from indicator inputs tab with Wick Hunter & Alertatron
🟣 How to use
• Choose a symbol that corresponds to your bot pair and exchange
• Pick a chart time frame
• Always use the regular candle type
• Configure your deal start condition
• Configure your profit target
• Use the Take Profit/Stop Loss feature to set a target for profit and loss
• Configure your safety orders
• Check your backtest parameters
•Make sure that the initial capital and order size make sense. Since you can use pyramiding in your strategy with safety orders, the sum of all deals should not be bigger than the initial capital
TUE Argentum Algo V1This algorithm is designed to look trend for opening conditions, apply various filters including volume and volatility, then determine stop outs, break evens, and take profits.
The algorithm uses proprietary math based on the concepts of volatility, standard deviations, average true ranges, and volume to help determine trend. You can filter based on cumulative volume delta, volatility, and moving average based trend. It includes settings for either trend following or contrarian trades, and the ability to go long, short, or both.
The take profit areas are based on proprietary math that help find peaks and valleys. You can adjust the size of the take profits as a percentage of the position, change to static take profits (i.e. take profit in 16 ticks), or use both. You can also disable them and use the natural closing conditions of the trades (detection of trend change in the opposite direction).
Our algo works in any market and will allow user to adjust input settings to be used on any ticker they'd like. It is built as a strategy so you can back test on any ticker to find the exact right settings to dial it in and then switch to live trading mode to see signals. Can be used for day trades or swing trades.
Automated Trading
This algo has been tested and certified to work for automated trading.
Works on Forex
It's confirmed to work on forex so you can trade that market.
Gets you into long successful trades, and gets out of poor ones quickly
It keeps you in the long trades taking small profits along the way, but cuts losers quickly in comparison. This style leads to a high profit factor.
It looks at many variables so you don't have to
- Uses trend analysis for opening/closing conditions.
- It measures the strength of trends to help determine if it should enter or not.
- It uses volume, if the user wants, to help filter entries. The volume calculation is based off of my proprietary cumulative volume delta indicator and helps find if the volume is moving long or short.
- It uses proprietary take profit math to help find peaks and valleys to peel off profits. It is based on the changes in momentum of the underlying.
- It allows for stop outs and break evens based on volatility so they'll always adjust with the movement of the underlying ticker (see the blue lines above and below the opening in the chart).
- It allows for offset break evens to keep a portion of the profit.
Strategy for the Algo
Included so you can understand how to trade with it.
ONE: After loading this strategy onto a ticker turn off volume if it's a ticker with no volume , set the dates at the bottom to when the stock is active (you want to start backtesting when a stock started trading like it trades currently).
TWO: From there adjust the short term trend settings to find the highest win rate and profit factor.
THREE: Then adjust the volume length to find the highest win rate and profit factor. It's important while doing these that you pay attention to a smooth upward equity curve.
FOUR: After this has been done now adjust the long and short risk multipliers. This determines your stop out.
FIVE: Then adjust breakeven multipliers - this is the level at which it changes to a breakeven stop out instead of the previous one. You can also set an offset to keep a small part of the profit.
SIX: Finally adjust the take profit sizes.
SEVEN: Once this is all done go back through the list and adjust up and down by one or two clicks and see if a better curve can be obtained. Very frequently long and short trades have different settings.
EIGHT: When you are finished save the settings in a custom indicator template and put it with it's own chart.
Additional
The settings shown on screen are not the default settings, but are settings chosen for this ticker and timeframe based on the process above. Nearly every ticker and timeframe will require adjustment from default, that's why the algorithm is built to be highly flexible. It can fit any ticker and timeframe, as well as market environment.
This particular setup has the algo running a scalping program on ES 3 min with a 16 tick static target. This algorithm can be set up as a scalper, or used to day trade more regularly. It can also swing trade.
As shown here the algo includes $1.25 of commissions and 1 tick of slippage on all orders (about our average for automated trading on ES).
TUE ADX/MACD Confluence Algorithm V1This algorithm is designed to look at the ADX/MACD confluence for opening conditions, apply various filters including volume and volatility, then determine stop outs, break evens, and take profits.
The ADX and MACD confluence can be a powerful predictor in stock movements. Both of these indicators find trend but do it in different ways. When they're combined they have a high success rate of finding openings. That's done by finding the bar in which both show the same direction - that bar is the beginning of the confluence. I have a free indicator called the TUE ADX/MACD Confluence that you can use to see this in action.
This script will help you find those confluences in an easy to understand manner. It will open a trade on a detected confluence, using the rest of the variables available in the algorithm as filters. You can filter based on cumulative volume delta, volatility, and trend. It includes settings for either trend following or contrarian trades, and the ability to go long, short, or both.
It includes Buy and Sell signals for detected confluences, and will show colored candles to help you determine when to exit a trade if you don't want to follow the included take profit areas. When the candles turn to white that means the detected confluence is no longer in play. The Buy and Sell signals will display on the first occurrence of each confluence.
The take profit areas are based on proprietary math that help find peaks and valleys. You can adjust the size of the take profits as a percentage of the position, change to static take profits (i.e. take profit in 16 ticks), or use both. You can also disable them and use the natural closing conditions (reversal of MACD/ADX confluence).
Our algo works in any market and will allow user to adjust input settings to be used on any ticker they'd like. It is built as a strategy so you can back test on any ticker to find the exact right settings to dial it in and then switch to live trading mode to see signals. Can be used for day trades or swing trades.
Automated Trading
This algo has been tested and certified to work for automated trading.
Works on Forex
It's confirmed to work on forex so you can trade that market.
Gets you into long successful trades, and gets out of poor ones quickly
It keeps you in the long trades taking small profits along the way, but cuts losers quickly in comparison. This style leads to a high profit factor, as you can see over 3.0 in the included ES 3 Min chart.
It looks at many variables so you don't have to
- Uses ADX/MACD confluence for opening/closing conditions.
- It uses volume, if the user wants, to help filter entries. The volume calculation is based off of my proprietary cumulative volume delta indicator and helps find if the volume is moving long or short.
- It uses proprietary take profit math to help find peaks and valleys to peel off profits. It is based on the changes in momentum of the underlying.
- It allows for stop outs and break evens based on volatility so they'll always adjust with the movement of the underlying ticker (see the blue lines above and below the opening in the chart).
- It allows for offset break evens to keep a portion of the profit.
Strategy for the Algo
Included so you can understand how to trade with it.
ONE: After loading this strategy onto a ticker turn off volume if it's a ticker with no volume , set the dates at the bottom to when the stock is active (you want to start backtesting when a stock started trading like it trades currently).
TWO: From there adjust the ADX/MACD to find the highest win rate and profit factor.
THREE: Then adjust the volume length to find the highest win rate and profit factor. It's important while doing these that you pay attention to a smooth upward equity curve.
FOUR: After this has been done now adjust the long and short risk multipliers. This determines your stop out.
FIVE: Then adjust breakeven multipliers - this is the level at which it changes to a breakeven stop out instead of the previous one. You can also set an offset to keep a small part of the profit.
SIX: Finally adjust the take profit sizes.
SEVEN: Once this is all done go back through the list and adjust up and down by one or two clicks and see if a better curve can be obtained. Very frequently long and short trades have different settings.
EIGHT: When you are finished save the settings in a custom indicator template and put it with it's own chart.
Additional
The settings shown on screen are not the default settings, but are settings chosen for this ticker and timeframe based on the process above. Nearly every ticker and timeframe will require adjustment from default, that's why the algorithm is built to be highly flexible. It can fit any ticker and timeframe, as well as market environment.
Also included in the chart above is a $1.25 commission per contract, and a tick of slippage (which on average is about right for automated trading on ES).
Macro Score - DFMA-BasedA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
The DFMA - Democratic Fibonacci Moving Average - is a separate indicator that we have released that takes 10 different Fibonacci MAs (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMA line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMA with the various Fib MA lengths as well as a cross of the price source and these lines can provide adequate long and short signals.
This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMA line/Fib MA (233) as well as the crosses of the Fib MA (3)/DFMA. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These foursignals hold a lighter weight than the MA cross signals.
The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a blue momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score (-5/5).
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Default Properties, for AVAX 20M:
DPO - 40, uncentered
CMO - 25, open
K/D - 3/3
RSI Stoch Length - 3
Stoch Length - 4
Stoch Source - open
JVB Length - 25
JVB Smoothing - 2
DFMA source - close
Macro Length - 13
TP % - 1.5%
TTP % - 0.005%
SL % - 2%
[SPOILED]SteadyScalpyHi Traders,
This is my testing strategy which implemented Trading View's trailing stop loss feature. This strategy mainly focus on ETH/USDT perp contract15 minutes timeframe, backtest capital is set to 1000 USDT, 10% equity, 0.04% commission, limited backtest date from Jan 2022 to now, result as shown below. I have faith in this strategy, but still please use only a small amount of money to test, like 5-10% of your total capital.
The strategy contains a couple modules, entry module, trend filter module, take profit, and stop loss module.
How to use:
Stoch RSI:
5 MA types were provided which is HMA / VWMA / WMA / EMA / SMA , HMA with Length setting of 5, 8 seems to be most efficient. VWMA and WMA with 8, 13 will generate less entry signals but with less entry risks.
Price Step:
This is the core feature of this strategy and it is based on Demark9 and price action. With Step 1&2 enabled, it will generate more entry signals. signals can be filtered by trend magic. if disable this option, Stoch RSI will be the only entry signal left in this strategy.
Trend Magic:
Trend Magic uses CCI and ATR to calculate trend status; green means uptrend, red means downtrend, pretty straight forward; the best value for this indicator would be, 21, 34, 55, 89. Only long allow when trend magic turns green and vice versa.
Take Profit and Stop Loss:
The default value for TP is set to 0.4%. Once the price hits 0.4%, it begins trailing; once the price drawdown 0.01%, it will close trade. The orange line indicates the ATR trailing take profit; once 'close' crosses ATR, it will exit the trade immediately. I also added a failsafe as a final stop loss, when price movement exceeds threshold (default 1%), it will exit trade no matter what.
Enjoy :)
Trend Following based on Trend ConfidenceThis is a Trend Following strategy based on the Trend Confidence indicator.
The goal of this strategy is to be a simple Trend Following strategy, but also to be as precise as possible when it comes to the question 'how confident are we that a linear trend is ongoing?'. For this we calculate the 'confidence' of a linear trend in the past number of closing prices. The idea of this strategy is that past a certain confidence, the ongoing linear trend is more likely to continue than not.
Trend Confidence:
The Trend Confidence shows us how strong of a linear trend the price has made in the past number (given by Length parameter) of closing prices. The steepness of the price change makes the Trend Confidence more extreme (more positive for an uptrend or more negative for a downtrend), and the deviation from a straight line makes the Trend Confidence less extreme (brings the confidence closer to 0). This way we can filter out signals by wild/sudden price moves that don't follow a clear linear trend.
Math behind the Trend Confidence:
A linear fit is made on the past number of closing prices, using Ordinary Linear Regression. We have the steepness of the linear fit: b in y=a+bx . And we have the standard deviation of the distances from the closing prices to the linear fit: sd . The Trend Confidence is the ratio b/sd .
Entries and Exits:
For entry and exit points we look at how extreme the Trend Confidence is. The strategy is based on the assumption that past a certain confidence level, the ongoing linear trend is more likely to continue than not.
So when the Trend Confidence passes above the 'Long entry" threshold, we go Long. After that when the Trend Confidence passes under the 'Long exit' threshold, we exit. The Long entry should be a positive value so that we go Long once a linear uptrend with enough confidence has been detected.
When the Trend Confidence passes below the 'Short entry' threshold, we go Short. After that when the Trend Confidence passes above the 'Short exit' threshold, we exit. The Short entry should be a negative value so that we go Short once a linear downtrend with enough confidence has been detected.
Default Parameters:
The strategy is intended for BTC-USD market, 4 hour timeframe. The strategy also works on ETH-USD with similar parameters.
The Length is arbitrarily set at 30, this means we look at the past 30 closing prices to determine a linear trend. Note that changing the length will change the range of Trend Confidence values encountered.
The default entry and exit thresholds for Longs and Shorts do not mirror each other. This is because the BTC-USD market goes up more heavily and more often than it goes down. So the ideal parameters for Longs and Shorts are not the same.
The positive results of the strategy remain when the parameters are slightly changed (robustness check).
The strategy uses 100% equity per trade, but has a 10% stop loss so that a maximum of 10% is risked per trade.
Commission is set at 0.1% as is the highest commission for most crypto exchanges.
Slippage is set at 5 ticks, source for this is theblock.co.
Macro Score -- User-Customized Scores and SignalsA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger. This particular strategy allows the user to choose between 18 different signals to be used in scoring as well as allowing the user to determine the individual weights of each score as well as the overall threshold to determine long or short signals. Weights for each score range between 1 and 5, with 5 being the greatest weight. The overall threshold for long or short is dependent on the total possible weights added together (i.e. if your weights total -10 or +10, a threshold within this range must be used).
The macro score itself is printed in an underlay as a white line that goes between the maximum positive and negative values for all weights added together for this strategy. In addition to the macro score line, a green momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score. The length of the Macro Score's momentum line can be found in the settings.
The current signals to choose from include:
- ADX Threshold - if the Average Directional Index is above a set threshold, signal positive or negative
- CMF Threshold - if the Chaikin Money Flow oscillator is above 0, signal positive; otherwise, signal negative
- CMO > TSI Signal - signal positive if there is a cross of the Chande Momentum Oscillator and the True Strength Index signal line
- CMO Threshold - if the Chande Momentum Oscillator is above 0, signal positive; otherwise, signal negative
- DPO Threshold - if the Detrended Price Oscillator is above 0, signal positive; otherwise, signal negative
- EOM Threshold - if the Ease of Money Oscillator is above 0, signal positive; otherwise, signal negative
- Jurik Threshold - if the Jurik price line (from the Jurik Volatility Bands) is above 0, signal positive; otherwise, signal negative
- MACD Threshold - if the MACD signal line is above 0, signal positive; otherwise, signal negative
- McGinley Cross - a crossover of a fast McGinley Dynamic length line and a slow McGinley Dynamic line signals positive; otherwise, signal negative
- PSAR - if the direction of the PSAR is heading long, signal positive; otherwise, signal negative
- ROC Threshold - if the Rate of Change oscillator is above 0, signal positive; otherwise, signal negative
- RSI Threshold - if the Relative Strength Index is above 50, signal positive; otherwise, signal negative
- Stoch RSI Threshold - if the Stoch RSI is above 50, signal positive; otherwise, signal negative
- Supertrend - if the Supertrend determines long, signal positive; otherwise, signal negative
- TSI Cross - a crossover of the True Strength Index value line and the TSI signal line signals positive; otherwise, signal negative
- TSI Signal Threshold - if the TSI signal line is above 0, signal positive; otherwise, signal negative
- Williams Alligator Cross - if the Williams Alligator lips cross the teeth and jaw, signal positive; otherwise, signal negative
- Williams %R - if the Williams %R is above -50, signal positive; otherwise, signal negative
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Sample setup for SOLUSDT 30M:
- Score 1 - Value 4, PSAR (0.05 start, 0.02 increment, 0.2 max value; sourced open)
- Score 2 - Value 4, Jurik Threshold (JVB Length 25, JVB Smoothing 6, JVB Price Threshold 0)
- Score 3 - Value 5, DPO Threshold (DPO Length 40, uncentered)
- Score 4 - Value 5, CMO Threshold (CMO Length 40, sourced open)
- Score 5 - Value 2, MACD Threshold (Fast Length 12, Slow Length 30, sourced open)
- Macro Length 21
- Long Threshold - -3
- Short Threshold - +3
- Take Profit % - 0.9/0.9
- Trail % - 0.005
- Stop Loss % - 1.4
Sample setup for AVAXUSDT 20M:
- Score 1 - Value 3, TSI Cross (Long Length 25, Short Length 16, Signal Length 17)
- Score 2 - Value 2, TSI Signal Threshold (same settings as the TSI Cross)
- Score 3 - Value 2, Jurik Threshold (JVB Length 20, JVB Smoothing 8, JVB Price Threshold 0)
- Score 4 - Value 2, DPO Threshold (DPO Length 40, uncentered)
- Score 5 - Value 1, Stoch Threshold (K/D 3, RSI (Stoch) Length 10, Stochastic Length 4, sourced open)
- Macro Length 13
- Long Threshold - +5
- Short Threshold - -5
- Take Profit % - 1.2/1.2
- Trail % - 0.005
- Stop Loss % - 1.5
