Gradient Sniper Elite🧠 Gradient Sniper Elite — Precision Trend Detection and Tactical Trade Execution for Crypto
Gradient Sniper Elite is a high-performance crypto trend strategy engineered for accuracy, adaptability, and smart execution on the 1-hour timeframe. This script is not just a mashup — it's a purpose-built system that combines trend, momentum, and volume filters in a structured and non-repainting framework designed for optimal entry and exit timing.
🔍 What Makes It Original?
This strategy combines several proven concepts into a unified, precision-calibrated trade engine:
✅ ZLEMA Gradient Filter: A slope-based trend filter that captures the direction and strength of momentum shifts without repainting.
✅ TEMA Confirmation: Triple EMA logic confirms trend acceleration or exhaustion by analyzing layered EMA cross-smoothing.
✅ RMI-Based Trend Direction: Replaces traditional RSI with a Relative Momentum Index (RMI), which smooths price momentum and avoids lag.
✅ ROC & Smoothed CCI: Dual momentum filters ensure that trades align with both velocity and structure of price moves.
✅ Volume Spike Filter: Filters out false breakouts and manipulation by confirming entries only during statistically significant volume surges.
✅ TP1/TP2 Split Take Profit Logic: 50% partial exit at TP1 and full exit at TP2. Ensures flexible profit-taking while maximizing trend continuation gains.
✅ Trend Weakness Exit: Trades are exited cleanly when the trend begins to weaken (as confirmed by RMI flip), preventing overstay and drawdown.
✅ 1-Bar Reversal Delay: The system enforces a 1-bar delay between a trade closure and any potential reversal entry, ensuring clean trend reversals and realistic live trading behavior.
✅ No Stop Loss: This strategy does not use a stop loss. Instead, it exits trades based on trend weakness or TP2 being hit. This avoids premature exits in volatile crypto environments, while maintaining controlled and dynamic trade management logic.
⚙️ How It Works
This strategy uses multi-layered confirmation:
Trend Structure
ZLEMA Gradient: Captures the slope of price action.
White Line + Fast/Slow Tether Lines: Define macro trend structure and act as dynamic S/R filters.
Momentum Alignment
Rate of Change (ROC): Measures directional velocity.
Smoothed CCI: Refines entry timing within the trend.
TEMA: Adds second-layer trend confirmation.
Volume Confirmation
Entry signals are validated by detecting relative volume spikes compared to a moving average baseline, avoiding entries on low-volume or fake breakouts.
Trade Management
Dynamic take-profits (TP1/TP2).
Immediate exit on trend weakening.
No same-bar entry/exit — reversal entries are delayed until after full exit confirmation.
No stop loss — trade management is handled via trend logic and take profit levels.
📊 Dashboard Overview
Gradient Sniper Elite includes a built-in dashboard in the top-right corner of the chart. It dynamically updates on each bar and shows:
📍 Position: Displays "Long", "Short", or "Flat" depending on the active trade
💰 Entry Price: The exact price where the trade was entered
📈 Unrealized %: Current profit/loss as a percentage
💵 Unrealized $: Estimated PnL in dollars, scaled to your backtest capital
📊 Trades / Win Rate: Live counter for total trades, win/loss count, and win rate
🎯 TP1 Hit / TP2 Hit: Shows ✅ or ❌ depending on whether each target level was reached during the current trade
This dashboard helps you monitor trade status, track live performance, and validate signal behavior in real time — all without repainting or relying on external tools.
📈 How to Use
Timeframe: Optimized for the 1-hour timeframe, but adaptable.
Asset Class: Primarily built for crypto markets, especially fast-moving alts like AVAX, LINK, QNT, etc.
Trade Mode: Supports long and short trades with clean reversal logic.
Dashboard: Live stats including position status, TP1/TP2 hit, win rate, and real-time PnL tracking.
Backtest Ready: Built with full compliance to TradingView backtest engine — results are realistic and match live-bar behavior.
⚠️ No Repainting — No Guesswork
Every element in this script is designed to work with confirmed bar data only. There is zero forward-looking logic. This makes Gradient Sniper Elite fully compatible with both backtesting and live algo execution.
🧩 Why This Isn’t Just a Mashup
Each indicator in this strategy has a specific role:
ZLEMA: Core trend slope engine.
TEMA: Trend reinforcement.
RMI: Directional decision layer.
CCI & ROC: Entry timing refinement.
Volume Filter: Risk filtering.
They’re not merged randomly, but combined in sequence to eliminate noise and optimize entries.
📌 Disclaimer
This script is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Always do your own research and use appropriate risk management when trading. Past performance does not guarantee future results.
在腳本中搜尋"algo"
Autonomous 5-Minute RobotKey Components of the Strategy:
Trend Detection:
A 50-period simple moving average (SMA) is used to define the market trend. If the current close is above the SMA, the market is considered to be in an uptrend (bullish), and if it's below, it's considered a downtrend (bearish).
The strategy also looks at the trend over the last 30 minutes (6 candles in a 5-minute chart). The strategy compares the previous close with the current close to detect an uptrend or downtrend.
Volume Analysis:
The strategy calculates buyVolume and sellVolume based on price movement within each candle.
The condition for entering a long position is when the market is in an uptrend, and the buy volume is greater than the sell volume.
The condition for entering a short position is when the market is in a downtrend, and the sell volume is greater than the buy volume.
Trade Execution:
The strategy enters a long position when the trend is up and the buy volume is higher than the sell volume.
The strategy enters a short position when the trend is down and the sell volume is higher than the buy volume.
Positions are closed based on stop-loss and take-profit conditions.
Stop-loss is set at 3% below the entry price.
Take-profit is set at 29% above the entry price.
Exit Conditions:
Long trades will be closed if the price falls 3% below the entry price or rises 29% above the entry price.
Short trades will be closed if the price rises 3% above the entry price or falls 29% below the entry price.
Visuals:
The SMA (50-period) is plotted on the chart to show the trend.
Buy and sell signals are marked with labels on the chart for easy identification.
With this being said this algo is still being worked on to be autonomous
Analyze the Market Direction: Determine whether the market is in an uptrend or downtrend over the past 30 minutes (using the last 6 candles in a 5-minute chart).
Use Trend Indicators and Volume: Implement trend-following indicators like moving averages or the SMA/EMA crossover and consider volume to decide when to enter or exit a trade.
Enter and Exit Trades: The robot will enter long positions when the trend is up and short positions when the trend is down. Additionally, it will close positions based on volume signals and price action (e.g., volume spikes, price reversals).
NNFX RSI EMA FVMA MACD ALGOThis Pine Script introduces a cutting-edge trading strategy that seamlessly integrates multiple technical indicators—namely, the Flexible Variable Moving Average ( FVMA ), Relative Strength Index ( RSI ), Moving Average Convergence Divergence ( MACD ), and Exponential Moving Average ( EMA )—to deliver a sophisticated trading experience. This script stands out due to its comprehensive approach, robust risk management, and the inclusion of crucial data tables for various timeframes, making it an invaluable tool for traders seeking to enhance their market performance.
Originality of the Strategy:
The originality of this script lies in its unique combination of multiple powerful indicators, enabling traders to benefit from diverse perspectives on market dynamics. This mashup enhances decision-making processes, providing multiple layers of confirmation for trade entries and exits. The strategy is designed to offer an innovative solution for traders looking to improve their performance through well-defined rules and a solid framework.
Flexible Variable Moving Average (FVMA):
The FVMA adapts dynamically to market conditions, offering a more responsive trend line than traditional moving averages. This flexibility allows for quick identification of trends and reversals, crucial for fast-paced trading environments.
Exponential Moving Average (EMA):
By giving greater weight to recent price data, the EMA enhances sensitivity to price changes, allowing for more accurate entries and exits when used alongside the FVMA. This combination maximizes the effectiveness of the strategy in identifying optimal trading opportunities.
Relative Strength Index (RSI):
The RSI helps identify overbought or oversold conditions, integrating seamlessly with other indicators to enhance the strategy's ability to pinpoint potential reversal points. This aspect of the strategy ensures that traders can make informed decisions based on market momentum.
Moving Average Convergence Divergence (MACD):
The MACD serves as an essential confirmation tool, providing insights into trend strength and momentum. This enhances the accuracy of entry and exit signals, allowing traders to make more informed decisions based on robust technical analysis.
Multi-Take Profit (TP) and Stop Loss (SL) Levels:
The strategy supports multiple TPs, allowing traders to lock in profits at various levels while effectively managing risk through a robust SL system. This flexibility caters to diverse trading styles and risk profiles, ensuring that the strategy can adapt to individual trader needs.
Default Properties:
Take Profit Levels: TP1 is set to 2.0, and TP2 is set to 2.9, which is designed to enhance profit potential while maintaining a solid risk-reward ratio.
Stop Loss: A SL is set at 2% of the 5% account balance, which helps to preserve capital and manage risk effectively, adhering to the guideline of not risking more than 5-10% of the account balance per trade.
Labeling System for Exits: Automatic labeling of TP and SL exits on the chart provides clear visualization of trading outcomes. This feature supports informed decision-making and performance tracking, aligning with the guideline of providing transparent results.
Custom Alerts System:
The inclusion of customizable alerts for trade entries, exits, and SL/TP hits keeps traders informed in real-time, enabling prompt actions without constant market monitoring. This is crucial for effective trade management and helps traders respond quickly to market changes.
API Boxes for Automated Trading:
The strategy features API boxes, allowing traders to set up automated trading based on indicator signals. This functionality enables seamless integration with trading platforms, enhancing efficiency and streamlining the trading process, which is particularly valuable for traders looking to optimize their execution.
Data Tables for Enhanced Analysis:
The script includes data tables displaying critical insights across various timeframes: 2-hour, daily, weekly, and monthly. These tables provide a comprehensive overview of market conditions, allowing traders to analyze trends and make informed decisions based on a broad spectrum of data. By leveraging this information, traders can identify high-probability setups and align their strategies with prevailing market trends, significantly increasing their chances of success.
Default Properties:
Initial Capital: £1,000, ensuring a realistic starting point for traders.
Risk per Trade: 5% of the account balance, promoting sustainable trading practices.
Commission: 0.1%, reflecting realistic transaction costs that traders may encounter.
Slippage: 1%, accounting for potential market volatility during trade execution.
Take Profit Levels:
TP1: 2.0
TP2: 2.9
Stop Loss (SL): 2% of the 5% account balance, which is well within acceptable risk parameters.
Compliance with TradingView Guidelines:
This script fully complies with TradingView's guidelines, specifically:
Strategy Results:
The strategy is designed to publish backtesting results that do not mislead traders. The realistic parameters outlined in the default properties ensure that traders have a clear understanding of potential outcomes.
The dataset used for backtesting has sufficient trades to produce a reliable sample size, aligning with the guideline of ideally having more than 100 trades.
Any deviations from recommended practices are justified in the script description, ensuring transparency and adherence to best practices.
The script explains the default properties in detail, providing a thorough understanding of how these settings influence performance.
Why This Script is Worth Paying For:
This Pine Script offers an unparalleled trading experience through its unique combination of technical indicators, comprehensive trade management features, and detailed data tables for multiple timeframes. Here are compelling reasons to invest in this strategy:
Holistic Approach: The integration of multiple indicators ensures a well-rounded perspective on market conditions, increasing the likelihood of successful trades.
Advanced Risk Management: The flexibility of multiple TPs and SLs empowers traders to tailor their risk profiles according to individual strategies, enhancing overall profitability.
Automated Trading Capability: The inclusion of API boxes for automated trading streamlines execution, allowing traders to capitalize on opportunities without the need for manual intervention.
Comprehensive Data Analysis: The detailed data tables provide invaluable insights across different timeframes, enabling traders to make informed decisions based on robust market analysis.
In summary, this innovative Pine Script represents a powerful tool designed to empower traders at all levels. Its originality, synergistic functionality, and comprehensive features create a dynamic and effective trading environment, justifying its value and positioning it as a must-have for anyone serious about achieving consistent trading success.
Fibonacci Trend Reversal StrategyIntroduction
This publication introduces the " Fibonacci Retracement Trend Reversal Strategy, " tailored for traders aiming to leverage shifts in market momentum through advanced trend analysis and risk management techniques. This strategy is designed to pinpoint potential reversal points, optimizing trading opportunities.
Overview
The strategy leverages Fibonacci retracement levels derived from @IMBA_TRADER's lance Algo to identify potential trend reversals. It's further enhanced by a method called " Trend Strength Over Time " (TSOT) (by @federalTacos5392b), which utilizes percentile rankings of price action to measure trend strength. This also has implemented Dynamic SL finder by utilizing @veryfid's ATR Stoploss Finder which works pretty well
Indicators:
Fibonacci Retracement Levels : Identifies critical reversal zones at 23.6%, 50%, and 78.6% levels.
TSOT (Trend Strength Over Time) : Employs percentile rankings across various timeframes to gauge the strength and direction of trends, aiding in the confirmation of Fibonacci-based signals.
ATR (Average True Range) : Implements dynamic stop-loss settings for both long and short positions, enhancing trade security.
Strategy Settings :
- Sensitivity: Set default at 18, adjustable for more frequent or sparse signals based on market volatility.
- ATR Stop Loss Finder: Multiplier set at 3.5, applying the ATR value to determine stop losses dynamically.
- ATR Length: Default set to 14 with RMA smoothing.
- TSOT Settings: Hard-coded to identify percentile ranks, with no user-adjustable inputs due to its intrinsic calculation method.
Trade Direction Options : Configurable to support long, short, or both directions, adaptable to the trader's market assessment.
Entry Conditions :
- Long Entry: Triggered when the price surpasses the mid Fibonacci level (50%) with a bullish TSOT signal.
- Short Entry: Activated when the price falls below the mid Fibonacci level with a bearish TSOT indication.
Exit Conditions :
- Employs ATR-based dynamic stop losses, calibrated according to current market volatility, ensuring effective risk management.
Strategy Execution :
- Risk Management: Features adjustable risk-reward settings and enables partial take profits by default to systematically secure gains.
- Position Reversal: Includes an option to reverse positions based on new TSOT signals, improving the strategy's responsiveness to evolving market conditions.
The strategy is optimized for the BYBIT:WIFUSDT.P market on a scalping (5-minute) timeframe, using the default settings outlined above.
I spent a lot of time creating the dynamic exit strategies for partially taking profits and reversing positions so please make use of those and feel free to adjust the settings, tool tips are also provided.
For Developers: this is published as open-sourced code so that developers can learn something especially on dynamic exits and partial take profits!
Good Luck!
Disclaimer
This strategy is shared for educational purposes and must be thoroughly tested under diverse market conditions. Past performance does not guarantee future results. Traders are advised to integrate this strategy with other analytical tools and tailor it to specific market scenarios. I was only sharing what I've crafted while strategizing over a Solana Meme Coin.
Strategy Container_Variable Pyramiding & Leverage [Tradingwhale]This is a strategy container . It doesn’t provide a trading strategy. What it does is provide functionality that is not readily available with standard strategy ’shells.’
More specifically, this Strategy Container enables Tradingview users to create trading strategies without knowing any Pine Script code .
Furthermore, you can use most indicators on tradingview to build a strategy without any coding at all, whether or not you have access to the code.
To illustrate a possible output in the image (buy and sell orders) of this strategy container, we are using here an indicator that provides buy and sell signals, only for illustration purposes. Again, this is a strategy container, not a strategy. So we need to include an indicator with this published strategy to be able to show the strategy execution.
What can you do with this strategy container? Please read below.
Trade Direction
You can select to trade Long trades only, Short trades only, or both, assuming that whatever strategy you create with this container will produce buy and sell signals.
Exit on Opposite
You can select if Long signals cause the exit of Short positions and vice versa. If you turn this on, then a sell/short signal will cause the closing of your entire long position, and a buy/long signal will cause the closing of your entire short position.
Use external data sources (indicators) to (a) import signals, or (b) create trading signals using almost any of the indicators available on Tradingview.
Option 1:
When you check the box ‘Use external indicator Buy & Sell signals?’ and continue to select an external indicator that plots LONG/BUY signals as value '1' and SHORT/SELL signals as value '-1, then this strategy container will use those signals for the strategy, in combination with all other available settings.
Here an example of code in an indicator that you could use to import signals with this strategy container:
buy = long_cond and barstate.isconfirmed
sell = short_cond and barstate.isconfirmed
//—------- Signal for Strategy
signal = buy ? 1 : sell ? -1 : 0
plot(plot_connector? signal : na, title="OMEGA Signals", display = display.none)
Option 2:
You can create buy/long and sell/short signals from within this strategy container under the sections called “ Define 'LONG' Signal ” and “ Define 'SHORT' Signal .”
You can do this with a single external indicator, by comparing two external indicators, or by comparing one external indicator with a fixed value. The indicator/s you use need to be on the same chart as this strategy container. You can add up to two (2) external indicators that can be compared to each other at a time. A checkbox allows you to select whether the logical operation is executed between Source #1 and #2, between Source # 1 and an absolute value, or just by analyzing the behavior of Source #1.
Without an image of the strategy container settings it’s a bit hard to explain. However, below you see a list of all possible operations.
Operations available , whenever possible based on source data, include:
- "crossing"
- "crossing up"
- "crossing down"
- "rejected from resistance (Source #1) in the last bar", which means ‘High’ was above Source #1 (resistance level) in the last completed bar and 'Close' (current price of the symbol) is now below Source #1" (resistance level).
- "rejected from resistance (Source #1) in the last 2 bars", which means ‘High’ was above Source #1 (resistance level) in one of the last two (2) completed bars and 'Close' (current price of the symbol) is now below Source #1" (resistance level).
- "rejected from support (Source #1) in the last bar" --- similar to above except with Lows and rejection from support level
- "rejected from support (Source #1) in the last 2 bars" --- similar to above except with Lows and rejection from support level
- "greater than"
- "less than"
- "is up"
- "is down"
- "is up %"
- "is down %"
Variable Pyramiding, Leverage, and Pyramiding Direction
Variable Pyramiding
With this strategy container, you can define how much capital you want to invest for three consecutive trades in the same direction (pyramiding). You can define what percentage of your equity you want to invest for each pyramid-trade separately, which means they don’t have to be identical.
As an example: You can invest 5% in the first trade let’s call this pyramid trade #0), 10% in the second trade (pyramid trade #1), and 7% in the third trade (pyramid trade #2), or any other combination. If your trading strategy doesn’t produce pyramid trading opportunities (consecutive trades in the same direction), then the pyramid trade settings won’t come to bear for the second and third trades, because only the first trade will be executed with each signal.
Leverage
You can enter numbers for the three pyramid trades that are combined greater than 100%. Once that is the case, you are using leverage in your trades and have to manage the risk that is associated with that.
Pyramiding Direction
You can decide to scale only into Winners, Losers, or Both. Pyramid into a:
- Losers : A losing streak occurs when the price of the underlying security at the current signal is lower than the average cost of the position.
- Winners : A winning streak occurs when the price of the underlying security at the current signal is higher than the average cost of the position.
- Both means that you are selecting to scale/pyramid into both Winning and Losing streaks.
Other Inputs that influence signal execution:
You can choose to turn these on or off.
1. Limit Long exits with a WMA to stay longer in Long positions: If you check this box and enter a Length number (integer) for the WMA (Weighted Moving Average), then Long positions can only be exited with short signals when the current WMA is lower than on the previous bar/candle. Short signals sometimes increase with uptrends. We’re using this WMA here to limit short signals by adding another condition (WMA going down) for the short signal to be valid.
2. Maximum length of trades in the number of candles. Positions that have been in place for the specified number of trades are excited automatically.
3. Set the backtest period (from-to). Only trades within this range will be executed.
4. Market Volatility Adjustment Settings
- Use ATR to limit when Long trades can be entered (enter ATR length and Offset). We’re using the 3-day ATR here, with your entries for ATR length and offset. When the 3-day ATR is below its signal line, then Long trades are enabled; otherwise, they are not.
- Use VIX to limit when Short trades can be entered (enter VIX). If you select this checkbox, then Short trades will only be executed if the daily VIX is above your set value.
- Use Momentum Algo functions to limit Short trades. This uses the average distance of Momentum Highs and Lows over the lookback period to gauge whether markets are calm or swinging more profoundly. Based on that you can limit short entries to more volatile market regimes.
Set:
- Fast EMA and Slow EMA period lengths
- Number of left and right candles for High and Low pivots
- Lookback period to calculate the High/Low average and then the distance between the two.
The assumption here is that greater distances between momentum highs and lows correlate positively with greater volatility and greater swings in the underlying security.
Stop-Loss
Set separate stop-losses based on % for Long and Short positions. If the position loses X% since entry, then the position will be closed.
Take-Profit
Set separate take-profit levels based on % for Long and Short positions. If the position wins X% since entry, then the position will be closed.
Self Optimizing PSAR [Starbots]Self Optimizing Parabolic SAR Strategy (non-repainting)
Strategy constantly backtest 169 different combinations of Parabolic SAR indicator for maximum profitability and trades based on the best performing combination at that time.
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# Parabolic SAR (PSAR)
Parabolic SAR is a time and price technical analysis tool created by J. Welles Wilder and it's primarily used to identify points of potential stops and reverses. In fact, the SAR in Parabolic SAR stands for "Stop and Reverse". The indicator's calculations create a parabola which is located below price during a Bullish Trend and above Price during a Bearish Trend.
You can read more about this indicator here:
www.tradingview.com
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The logic of self - optimizing:
This script is always backtesting 169 different combinations of Parabolic SAR settings in the background and saves the net. profit gained for every single one of them, then strategy selects and use the best performing combination of settings currently available for you to trade.
It's recalculating on every bar close - if one of the parameters starts performing better than others - have a higher net profit gain (it's literally like running 169 backtests with different settings) strategy switches to that parameter and continues trading like that until one of the other indicator parameters starts performing better again and switches to that settings.
We are optimizing our strategy based on 13 different 'Increment' factors of PSAR. We keep the 'Start' factor (default 0.02) and 'Max Value' factor (default 0.2) at default for all of them.
According to creator of this indicator J. Welles Wilder, we usually want to change only 'Increment' factors of PSAR in the calculation and leave the rest at default and that's what we do, we are changing only 'Increment' input.
Inputs : (you don't need to change them at all, it's a good balance for fast and slow detection of trends on PSAR)
Start = 0.02
Max value = 0.2
Increment1 = 0.005, Increment2 = 0.01, Increment3 = 0.015
Increment4 = 0.02, Increment5 = 0.025, Increment6 = 0.03
Increment7 = 0.035, Increment8 = 0.04, Increment9 = 0.045
Increment10 = 0.05, Increment11 = 0.055, Increment12 = 0.06
Increment13 = 0.065
PSAR buy / sell conditions looks like this:
PSAR1 = start 0.02, max value 0.2, increment1 0.005
PSAR2 = start 0.02, max value 0.2, increment2 0.01
PSAR3 = start 0.02, max value 0.2, increment3 0.015
PSAR4 = start 0.02, max value 0.2, increment3 0.02
...
PSAR13 = start 0.02, max value 0.2, increment13 0.065
Backtester in the background works like this:
backtest buying PSAR1 settings with selling PSAR1 settings => save net. profit
backtest buy PSAR1 with sell PSAR2 ;
backtest buy PSAR1 with sell PSAR3 ;
backtest buy PSAR1 with sell PSAR4 ;
..........
backtest buy PSAR1 with sell PSAR13 ;
..........
backtest buy PSAR13 with sell PSAR1 ;
backtest buy PSAR13 with sell PSAR2 ;
......
backtest buy PSAR13 with sell PSAR13 ;
=>
It will backtest 16x16=169 different PSAR settings and save their profits.
Your strategy then trades based on the best performing (highest net.profit) PSAR Setting currently available. It will check the calculations and backtest them on every new bar close - it's like running 169 strategies at time, and manually selecting the best performing one.
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If you wish to use it as INDICATOR - turn on 'Recalculate after every tick' in Properties tab to have this script updating constantly and use it as a normal Indicator tool for manual trading.
Strategy example is backtested on Daily chart of SHIBUSDT Binance
All settings at default. (1000 capital, 100 order size, 0.1% fee, 1 tick slippage)
Settings:
-Start = default Parabolic SAR setting is 0.02
-Max Value = default Parabolic SAR setting is 0.2
--Recommended PSAR Increment settings:
0.02 is default, higher timeframes usually performs good on the faster Increment factors 0.03-0.05+, smaller timeframes on slow Increment factors 0.005-0.02. I recommend you the most common and logical 13 different Increment factors for optimizing in the strategy as default already (from 0.005 to 0.065 - strategy will then optimize and trade based on the most profitable combination).
- Noise-Intensity Filter 🐎0.00-0.20%🐢
This will punish the tiny trades made by certain combinations and give more advantage to big average trades. It's basically like fee calculation, it will deduct 0.xx% fee from every trade when optimizing on their backtests.
You will usually want to have it around 0.05-0.10% like your fees on exchange.
-> 🐎Less than <0.10% allows strategy to be VERY SENSITIVE to market. (a lot of trades - quick buy-sell changes)
-> 🐢More than >0.10% will slow down the strategy, it will be LESS SENSITIVE to market volatility. (less trades - slowly switches the trend direction from buy to sell)
Close Trades on Neutral
After a lot of Trades, Algo starts developing self-intelligence. It can also have a neutral score. (Grey Plots). Sell when the strategy is neutral.
Other settings:
-Take Profit, Multiple Take Profit, Trailing Take Profit, Stop Loss, Trailing Stop Loss with functional alerts.
-Backtesting Range - backtest within your desired time window. Example: 'from 01 / 01 /2020 to 01 / 01 /2023'.
- Strategy is trading on the bar close without repaint. You can trade Long-Sell/Short Sell or Long-Short both directions. Alerts available, insert webhook messages in the inputs.
- Turn on Profit Calendar for better overview of how your strategy performs monthly/annualy
- Notes window : add your custom comments in here or save your webhook message text inside here for later use. I find this helpful to save texts inside.
Recommended TF : 4h, 8h, 1d (Trend Indicators are good at detecting directions of the market, but we can have a lot of noise and false movements on charts, you want to avoid that and ride the long term movements)
This script is fairly simple to use. It's self-optimizing and adjusting to the markets on the go.
Martingale + Grid DCA Strategy [YinYangAlgorithms]This Strategy focuses on strategically Martingaling when the price has dropped X% from your current Dollar Cost Average (DCA). When it does Martingale, it will create a Purchase Grid around this location to likewise attempt to get you a better DCA. Likewise following the Martingale strategy, it will sell when your Profit has hit your target of X%.
Martingale may be an effective way to lower your DCA. This is due to the fact that if your initial purchase; or in our case, initial Grid, all went through and the price kept going down afterwards, that you may purchase more to help lower your DCA even more. By doing so, you may bring your DCA down and effectively may make it easier and quicker to reach your target profit %.
Grid trading may be an effective way of reducing risk and lowering your DCA as you are spreading your purchases out over multiple different locations. Likewise we offer the ability to ‘Stack Grids’. What this means, is that if a single bar was to go through 20 grids, the purchase amount would be 20x what each grid is valued at. This may help get you a lower DCA as rather than creating 20 purchase orders at each grid location, we create a single purchase order at the lowest grid location, but for 20x the amount.
By combining both Martingale and Grid DCA techniques we attempt to lower your DCA strategically until you have reached your target profit %.
Before we start, we just want to make it known that first off, this Strategy features 8% Commission Fees, you may change this in the Settings to better reflect the Commission Fees of your exchange. On a similar note, due to Commission Fees being one of the number one profit killers in fast swing trade strategies, this strategy doesn’t focus on low trades, but the ideology of it may result in low amounts of trades. Please keep in mind this is not a bad thing. Since it has the ability to ‘Stack Grid Purchases’ it may purchase more for less and result in more profit, less commission fees, and likewise less # of trades.
Tutorial:
In this example above, we have it set so we Martingale twice, and we use 100 grids between the upper and lower level of each martingale; for a total of 200 Grids. This strategy will take total capital (initial capital + net profit) and divide it by the amount of grids. This will result in the $ amount purchased per grid. For instance, say you started with $10,000 and you’ve made $2000 from this Strategy so far, your total capital is $12,000. If you likewise are implementing 200 grids within your Strategy, this will result in $12,000 / 200 = $60 per grid. However, please note, that the further down the grid / martingale is, the more volume it is able to purchase for $60.
The white line within the Strategy represents your DCA. As the Strategy makes purchases, this will continue to get lower as will your Target Profit price (Blue Line). When the Close goes above your Target Profit price, the Strategy will close all open positions and claim the profit. This profit is then reinvested back into the Strategy, which may exponentially help the Strategy become more profitable the longer it runs for.
In the example above, we’ve zoomed in on the first example. In this we want to focus on how the Strategy got back into the trades shortly after it sold. Currently within the Settings we have it set so our entry is when the Lowest with a length of 3 is less than the previous Lowest with a length of 3. This is 100% customizable and there are multiple different entry options you can choose from and customize such as:
EMA 7 Crossover EMA 21
EMA 7 Crossunder EMA 21
RSI 14 Crossover RSI MA 14
RSI 14 Crossunder RSI MA 14
MFI 14 Crossover MFI MA 14
MFI 14 Crossunder MFI MA 14
Lowest of X Length < Previous Lowest of X Length
Highest of X Length > Previous Highest of X Length
All of these entry options may be tailored to be checked for on a different Time Frame than the one you are currently using the Strategy on. For instance, you may be running the Strategy on the 15 minute Time Frame yet decide you want the RSI to cross over the RSI MA on the 1 Day to be a valid entry location.
Please keep in mind, this Strategy focuses on DCA, this means you may not want the initial purchase to be the best location. You may want to buy when others think it is a good time to sell. This is because there may be strong bearish momentum which drives the price down drastically and potentially getting you a good DCA before it corrects back up.
We will continue to add more Entry options as time goes on, and if you have any in mind please don’t hesitate to let us know.
Now, back to the example above, if we refer to the Yellow circle, you may see that the Lowest of a length of 3 was less than its previous lowest, this triggered the martingales to create their grids. Only a few bars later, the price went into the first grid and went a little lower than its midpoint (Yellow line). This caused about 60% of the first grid to be purchased. Shortly after the price went even lower into this grid and caused the entire first martingale grid to be purchased. However, if you notice, the white line (your DCA) is lower than the midpoint of the first grid. This is due to the fact that we have ‘Stack Grid Purchases’ enabled. This allows the Strategy to purchase more when a single bar crosses through multiple grid locations; and effectively may lower your average more than if it simply executed a purchase order at each grid.
Still looking at the same location within our next example, if we simply increase the Martingale amount from 2 to 3 we can see something strange happens. What happened is our Target Profit price was reached, then our entry condition was met, which caused all of the martingale grids to be formed; however, the price continued to increase afterwards. This may not be a good thing, sure the price could correct back down to these grid locations, but what if it didn’t and it just kept increasing? This would result in this Strategy being stuck and unable to make any trades. For this reason we have implemented a Failsafe in the Settings called ‘Reset Grids if no purchase happens after X bars’.
We have enabled our Failsafe ‘Reset Grids if no purchase happens after X bars’ in this example above. By default it is set to 100 bars, but you can change this to whatever works best for you. If you set it to 0, this Failsafe will be disabled and act like the example prior where it is possible to be stuck with no trades executing.
This Failsafe may be an important way to ensure the Strategy is able to make purchases, however it may also mean the Grids increase in price when it is used, and if a massive correction were to occur afterwards, you may lose out on potential profit.
This Strategy was designed with WebHooks in mind. WebHooks allow you to send signals from the Strategy to your exchange. Simply set up a Custom TradingView Bot within the OKX exchange or 3Commas platform (which has your exchange API), enter the data required from the bot into the settings here, select your bot type in ‘Webhook Alert Type’, and then set up the alert. After that you’re good to go and this Strategy will fully automate all of its trades within your exchange for you. You need to format the Alert a certain way for it to work, which we will go over in the next example.
Add an alert for this Strategy and simply modify the alert message so all it says is:
{{strategy.order.alert_message}}
Likewise change from the Alert ‘Settings’ to Alert ‘Notifications’ at the top of the alert popup. Within the Notifications we will enable ‘Webhook URL’ and then we will pass the URL we are sending the Webhook to. In this example we’ve put OKX exchange Webhook URL, however if you are using 3Commas you’ll need to change this to theirs.
OKX Webhook URL:
www.okx.com
3Commas Webhook URL:
app.3commas.io
Make sure you click ‘Create’ to actually create this alert. After that you’re all set! There are many Tutorials videos you can watch if you are still a little confused as to how Webhook trading works.
Due to the nature of this Strategy and how it is designed to work, it has the ability to never sell unless there it will make profit. However, because of this it also may be stuck waiting in trades for quite a long period of time (usually a few months); especially when your Target Profit % is 15% like in the example above. However, this example above may be a good indication that it may maintain profitability for a long period of time; considering this ‘Deep Backtest’ is from 2017-8-17.
We will conclude the tutorial here. Hopefully you understand how this Strategy has the potential to make calculated and strategic DCA Grid purchases for you and then based on a traditional Martingale fashion, bulk sell at the desired Target Profit Percent.
Settings:
Purchase Settings:
Only Purchase if its lower than DCA: Generally speaking, we want to lower our Average, and therefore it makes sense to only buy when the close is lower than our current DCA and a Purchase Condition is met.
Purchase Condition: When creating the initial buy location you must remember, you want to Buy when others are Fearful and Sell when others are Greedy. Therefore, many of the Buy conditions involve times many would likewise Sell. This is one of the bonuses to using a Strategy like this as it will attempt to get you a good entry location at times people are selling.
Lower / Upper Change Length: This Lower / Upper Length is only used if the Purchase Condition is set to 'Lower Changed' or 'Upper Changed'. This is when the Lowest or Highest of this length changes. Lowest would become lower or Highest would become higher.
Purchase Resolution: Purchase Resolution is the Time Frame that the Purchase Condition is calculated on. For instance, you may only want to start a new Purchase Order when the RSI Crosses RSI MA on the 1 Day, but yet you run this Strategy on the 15 minutes.
Sell Settings:
Trailing Take Profit: Trailing Take Profit is where once your Target Profit Percent has been hit, this will trail up to attempt to claim even more profit.
Target Profit Percent: What is your Target Profit Percent? The Strategy will close all positions when the close price is greater than your DCA * this Target Profit Percent.
Grid Settings:
Stack Grid Purchases: If a close goes through multiple Buy Grids in one bar, should we amplify its purchase amount based on how many grids it went through?
Reset Grids if no purchase happens after X Bars: Set this to 0 if you never want to reset. This is very useful in case the price is very bullish and continues to increase after our Target Profit location is hit. What may happen is, Target Profit location is hit, then the Entry condition is met but the price just keeps increasing afterwards. We may not want to be sitting waiting for the price to drop, which may never happen. This is more of a failsafe if anything. You may set it very large, like 500+ if you only want to use it in extreme situations.
Grid % Less than Initial Purchase Price: How big should our Buy Grid be? For instance if we bought at 0.25 and this value is set to 20%, that means our Buy Grid spans from 0.2 - 0.25.
Grid Amounts: How many Grids should we create within our Buy location?
Martingale Settings:
Amount of Times 'Planned' to Martingale: The more Grids + the More Martingales = the less $ spent per grid, however the less risk. Remember it may be better to be right and take your time than risk too much and be stuck too long.
Martingale Percent: When the current price is this percent less than our DCA, lets create another Buy Grid so we can lower our average more. This will make our profit location less.
Webhook Alerts:
Webhook Alert Type: How should we format this Alert? 3Commas and OKX take their alerts differently, so please select the proper one or your webhooks won't work.
3Commas Webhook Alerts:
3Commas Bot ID: The 3Commas Bot ID is needed so we know which BOT ID we are sending this webhook too.
3Commas Email Token: The 3Commas Email Token is needed for your webhooks to work properly as it is linked to your account.
OKX Webhook Alerts:
OKX Signal Token: This Signal Token is attached to your OKX bot and will be used to access it within OKX.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Currency Pair Strategy [ICEALGO]Indicator for trading with currency pairs
Get Access to ICEALGO indicators: icealgo.com
All scripts & content provided by ICEALGO are for informational & educational purposes only. Past performance does not guarantee future results.
Crunchster's Turtle and Trend SystemThis is a combination of two popular systematic trading strategies - in the trend following category.
The strategy is designed for use on the daily timeframe. Specific features of this system are outlined below:
1. Two different strategies to choose from, "Trend" which is a volatility adjusted Exponential Moving Average (EMA) crossover strategy and "Breakout" which is my adaptation of the well documented "Turtle Strategy"
2. Uses advanced position sizing and risk management, usually reserved for institutional portfolio management, a proven technique utilised by Commodity Trading Advisors and Managed Futures funds (Algo/Quant funds).
"Trend" uses a fast (user defined) and slow EMA crossover, where the slow length is 5 times the fast length. The resulting signal is adjusted for the volatility of returns over a 252 lookback period, which helps to normalise the signal across different assets. The system goes long or short when it detects a new trend has formed.
"Break" uses the highest high or lowest low over a user defined lookback period to define the recent range. This is converted into a price normalised signal to allow the system to detect when a breakout occurs. The system goes long or short based off the breakout signal.
Position sizing is based on recent price volatility and the user defined annualised risk target. In essence positions are inverse volatility weighted, so larger size is opened during lower volatility and smaller size during increased volatility. Recent volatility is calculated as the standard deviation of returns with 14 period lookback, then extrapolated into an annualised volatility of expected returns. Annualised recent volatility is then referenced to the risk target set by the user to adjust the position size. The default settings are a conservative 15% annual risk target/volatility. Initial capital should be set as the maximum risk capital per trade (ie if $10,000 total capital and 10% risk per trade, initial capital should be $1000). Maximum leverage per position can be set independently, to facilitate hitting risk targets that are greater than the natural volatility of the traded asset, and to accommodate low volatility conditions, whilst maintaining overall risk controls. Direction (long or short) is at the user's discretion.
Hard stop losses are based on multiples of the average true range of recent price (14 period lookback), user configurable.
Strategy trailing stops are based off recent highest highs or lowest lows (user defined lookback) to cut the position if the trend or momentum is lost.
Although both strategies can be run simultaneously, optimal diversification will be achieved if ran separately/individually to avoid masking of entries.
Quantitative Trend Strategy- Uptrend longTrend Strategy #1
Indicators:
1. SMA
2. Pivot high/low functions derived from SMA
3. Step lines to plot support and resistance based on the pivot points
4. If the close is over the resistance line, green arrows plot above, and vice versa for red arrows below support.
Strategy:
1. Long Only
2. Mutable 2% TP/1.5% SL
3. 0.01% commission
4. When the close is greater than the pivot point of the sma pivot high, and the close is greater than the resistance step line, a long position is opened.
*At times, the 2% take profit may not trigger IF; the conditions for reentry are met at the time of candle closure + no exit conditions have been triggered.
5. If the position is in the green and the support step line crosses over the resistance step line, positions are exited.
How to use it and what makes it unique:
Use this strategy to trade an up-trending market using a simple moving average to determine the trend. This strategy is meant to capture a good risk/reward in a bullish market while staying active in an appropriate fashion. This strategy is unique due to it's inclusion of the step line function with statistics derived from myself.
This description tells the indicators combined to create a new strategy, with commissions and take profit/stop loss conditions included, and the process of strategy execution with a description on how to use it. If you have any questions feel free to PM me and boost if you enjoyed it. Thank you, pineUSERS!
Crunchster's Normalised Trend StrategyThis is a unique rules-based, systematic trading strategy - in the trend following category.
The strategy is designed for use on the daily timeframe. Specific features of this strategy are outlined below:
1. Uses a transformed price series (which I dub "real price") to generate signals rather than ticker price
2. Uses advanced position sizing and risk management, usually reserved for institutional portfolio management, a proven technique utilised by Commodity Trading Advisors and Managed Futures funds (Algo/Quant funds).
"Real Price" is a transformed price series derived from the sum of volatility adjusted (daily) returns, over the entire price series of an asset. The lookback period of the volatility adjustment is user defined.
A Hull moving average (HMA) is derived from the real price, and used as the main trend determinant. The lookback period of the HMA is user defined. Default lookback of 100 periods (days) ensures a responsive trend indicator, but without leading to over-trading from frequent crossovers (average holding period 14 days on BTC).
The core strategy is very simple, go long when real price crosses over HMA, go short when real price crosses under HMA. New position triggers automatically close open positions in the counter direction.
Position sizing is based on recent price volatility and the user defined annualised risk target. In essence positions are inverse volatility weighted, so larger size is opened during lower volatility and smaller size during increased volatility. Recent volatility is calculated as the standard deviation of returns with 14 period lookback, then extrapolated into an annualised volatility of expected returns. Annualised recent volatility is then referenced to the risk target set by the user to adjust the position size. The default settings are a very conservative 10% annual risk target. Initial capital should be set as the maximum risk capital per trade (ie if $10,000 total capital and 10% risk per trade, initial capital should be $1000). Maximum leverage per position can be set independently, to facilitate hitting risk targets that are greater than the natural volatility of the traded asset, and to accommodate low volatility conditions, whilst maintaining overall risk controls.
Hard stop losses are based on multiples of the average true range of recent price (14 period lookback), user configurable.
Please leave comments regarding further features or refinements. I plan to develop further adding alternative moving average selections and the ability to select/deselect long and short strategies.
3 hours ago
Release Notes:
Added option to compound profits versus using a fixed position capital. Be mindful that compounding will potentially increase profits, but also increase drawdowns and overall risk. Leverage will still cap overall exposure with compounding and therefore provides an additional layer of risk control.
2 hours ago
Release Notes:
Added function to toggle long/short strategy legs on and off.
Volatility Breakout Strategy [Angel Algo]As traders, we're always looking for opportunities to profit from sudden price breakouts, and the Volatility Breakout Strategy aims to do just that.
This script is the perfect starting point for traders who want to experiment with capturing price movements resulting from increased volatility. The script plots the Average True Range (ATR) on the chart, which is a measure of the asset's volatility over a specified period. By setting the "Length" parameter, you can customize the period over which the volatility is measured.
Using the ATR, the strategy calculates upper and lower breakout levels and plots them on the chart. The signals for long and short positions are generated when the price crosses above the upper breakout level or below the lower breakout level, respectively. They are confirmed by checking the current bar state.
The strategy also fills the space between the upper and lower breakout levels with a color that indicates the latest signal direction. This feature helps traders quickly identify the prevailing trend.
The strategy uses the generated signals to enter trades. When a long or short signal is confirmed, and there is no open position in the direction of the signal, the strategy enters a long or short trade, respectively.
Choice of parameters.
Choosing the right value for the Length input parameter is crucial for tailoring the Volatility Breakout Strategy to suit your trading preferences. In general, a higher Length value implies a focus on capturing longer price moves. For instance, in this script, we have set the Length value to 20, resulting in trades that span approximately 100 candles. These trades encompass price trends consisting of multiple swings.
However, if your goal is to trade individual swings rather than longer trends, it's advisable to experiment with smaller values for the Length parameter. By reducing the Length, you can target shorter-term price movements and potentially increase the frequency of trades.
It's important to note that while a higher Length value tends to lead to longer trades, there is no strict correlation between the Length parameter and the average length of trades. This can vary across different markets. Therefore, it's essential to conduct thorough experimentation with various Length values and closely observe the length of trades they generate. Comparing these trade lengths with the average trend or swing length in the specific market can provide valuable insights.
Ideally, you should aim to select a Length value that aligns with the average trend or swing length observed in the market you are trading. This way, you can optimize the strategy to capture price movements that closely match the prevailing market conditions.
Remember, finding the optimal Length value is a process of trial and error, combined with careful observation of trade lengths and their correlation with market trends. So, don't be afraid to experiment and refine the Length parameter to maximize the effectiveness of the Volatility Breakout Strategy in your chosen market.
Disclaimer: This trading strategy is provided for educational and informational purposes only.Trading involves risk, and past performance is not indicative of future results.
Double Inside Bar & Trend Strategy - KaspricciDouble Inside Bar & Trend Strategy - Kaspricci
This strategy combines the Double Inside Bar candlestick pattern with a trend filter. Once the second inside bar closes and price is above trend moving average, a buy stop order is placed at high of the candle. If price is below trend moving average, a sell stop order is placed at the low of the candle.
This strategy is for educational purposes only! It is not meant to be a financial advice.
Settings
Trend source, type of moving average and length for calculating trend
Stop Loss Type - default: ATR. You can switch between stop loss calculation based on Average True Range value or fixed value.
ATR Length / Factor / TP Ratio - default: 14 / 2.0 / 2.0. Used to calculate the Stop Loss as ATR * Factor and Take Profit as Stop Loss * TP Ratio.
FIX Stop Loss / Take Profit - default: 10 pips / 20 pips. In case you select Stop Loss Type = FIX, these value swill be used.
Risk in % - default: 1%, option to adjust the quantity of a trade based on a defined risk percentage. If enabled, it will overwrite the quantity parameter of the strategy settings.
On top you can filter trades by start and end date as well as time of the day.
The Only EURUSD Trading Strategy You Need - KaspricciThe Only EURUSD Trading Strategy You Need
I got the idea to this strategy from a youtube video uploaded by Trade Beta. It is designed to capture the early market move of major forex pair EURUSD at beginning of New York Stock Exchange (13:30 GMT). Trade Beta tested his strategy on the 5 minute chart. I have set all parameters to same values as shown in the video.
The strategy creates two pending orders at the recent swing high and low. Once the first pending order entered, the remaining one is cancelled. Latest at the end of market session all pending orders are cancelled and all open trade are closed as well.
In rare case that price at session opening is above swing high, only a pending sell stop order is created at swing high price. And in case price is below swing low, a pending buy stop order is created.
Settings
Trading Time - default: New York Stock Exchange opening hours. Pending orders are created at the close of the first candle within the session.
Swing High Source / Bars - default: High / 5 bars. Used to find the latest swing high within a range of 5 bars left and right. Price is used for buy stop order.
Swing Low Source / Bars - default: Low / 5 bars. Used to find the latest swing low within a range of 5 bars left and right. Price is used for sell stop order.
Stop Loss Type - default: ATR. You can switch between stop loss calculation based on Average True Range value or fixed value.
ATR Length / Factor / TP Ratio - default: 14 / 2.0 / 2.0. Used to calculate the Stop Loss as ATR * Factor and Take Profit as Stop Loss * TP Ratio.
FIX Stop Loss / Take Profit - default: 10 pips / 20 pips. In case you select Stop Loss Type = FIX, these value swill be used.
This strategy is for educational purposes only! It is not meant to be a financial advice.
50 Pips A Day Strategy - Kaspricci50 Pips A Day Strategy
This strategy is designed to work on 1 hour timeframe. It is designed to capture the early market move of major forex pairs like EURUSD or GBPUSD. It takes the high and low of the first candle (7 a.m. GMT, London Stock Exchange opens) and places to pending orders at these prices levels.
High + additional gap in pips = buy stop pending order
Low + additional gap in pips = sell stop pending order
For both orders a stop loss of 15 pips and a take profit of 50 pips is used as a default. As soon as price triggers one pending order, the remaining pending order is cancelled. At the end of the configured session time all open and pending orders are closed / cancelled.
Settings
Trading Time - start and end time of session. It is configured for Monday to Friday only. At the beginning the first candle is used to define stop prices for pending orders.
Source for Buy Stop order - Default: high. Used to calculate buy stop order. You can add additional pips as a gap.
Source for Sell Stop order - Default: low. Used to calculate sell stop order. You can add additional pips as a gap.
Stop Loss in Pips - Default: 15. Used for both pending orders.
Take Profit in Pips - Default: 50. Used for both pending orders.
This strategy is for educational purposes only! It is not meant to be a financial recommendation.
TradeIQ - Crazy Scalping Trading Strategy [Kaspricci]This strategy script is a combination of two indicators developed by LuxAlgo:
Triangular Momentum Oscillator & Real Time Divergences ( TMO )
Adjustable MA & Alternating Extremities (AMA)
The script combines the BUY and SELL signals from the TMO indicator with the BUY and SELL extremities shown by the AMA script and waits for the smoothed candles to grow in size. It places a SHORT or LONG order and sets a stop loss at the latest swing high or low (highes high or lowest low for a defined number of recent bars). A new LONG trade is highlighted by a green background. A new SHORT trade is highlighted by red background.
The trades will be closed once a new TMO indicator BUY or SELL signal appears or the color of the AMA extremities is switching from green to red and vice versa.
All parameters of TOM and AMA indicators are added as well and work the same way as in the original scripts provided by LuxAlgo.
The idea to combine these two indicators has been provided to me by TradIQ in his youtube video.
Please leave a comment in case you find a bug. In case you find a combination of parameters with a high win rat and high PnL I would be interested as well.
CONSOLIDATION BAND BREAKOUT [5MIN TF]CONSOLIDTION BREAKOUT STRATEGY for 5 minute Time-Frame , that has the time condition adjustable for Indian Markets.
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Unlike the Free Scripts - Risk Management , Position Sizing , Partial Exit etc. are also included .
Message to know more about the strategy.
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The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above upper Level ,indicated by Red Line, is a Long condition .
2) Price crosses below lower Level ,indicated by Green Line , is a Short condition .
3) Candle close crosses above ema1 , is a part of the Long condition .
4) Candle close crosses below ema1 , is a part of the Short condition .
5) Allowed hours specifies the trade entry timing.
6) ATR STOP is the stop-loss value on chart , can be adjusted in INPUTS.
7) Target 1 is the 1st target value on chart , can be adjusted in INPUTS.
8) RISK is Maximum Risk per trade for the intraday trade can be changed .
9) Total Capital used can be adjusted under INPUTS.
10) ATR TRAIL is used for trailing after entry, as mentioned in the inputs below.
11) Check trades under the list of trades .
12) Trade only in liquid stocks .
13) Risk only 1-5% of total capital.
14) Inputs can be changed for better back-test results, but also manually check the trades before setting alerts
15) SQUARE OFF TIME - As you change the time frame , also change the square-off time to that candle's closing time.
Eg: For 3min Time-frame , Hour = 2Hrs | Minute = 57min
16) Strategy stops for the day if you have a loss .
*The input values and the results are mentioned under "BACKTEST RESULTS" below*
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// ————————> RISK MANAGEMENT <——————— //
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Risk management is done based on max loss per trade and can be adjusted in the INPUTS.
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// ————————> POSITION SIZE <——————— //
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Quantity of each trade is different based on the loss
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// ————————> PROPERTIES <——————— //
// ═════════════════════════ //
COMMISSION , SLIPPAGE ,RECALCULATE is already mentioned .
COMMISSION can be charges , based on the broker charges.
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// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the INPUT.
The Indian Markets open at 9:15am and closes at 3:30pm.
The 'Allowed hours' under Inputs specifies the time at which Entries should happen .
"Close All" function closes all the trades before 3pm , at the open of the next candle.
To change the time to close all trades , check INPUT.
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 123 CLOSED TRADES )<————————— //
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INPUTS can be changed for better Back-Test results.
The strategy applied to NSE:TCS (5 min Time-Frame and with a capital of 1,00,000 ) gives us 77% profitability , as shown below
It was tested for a period a 1 year with a Profit Factor of 2.143 ,net Profit of 10,886 Rs .
The Initial Capital and Risk can be increased for better results.
The graph has a Linear Curve with Consistent Profits.
The INPUTS are as follows,
1) LENGTH ——————————————> 79
2) MUT_STDEV ————————————> 2.3
3) ALLOWED HRS ———————————> 9:25 TO 14:30
4) ATR STOP ——————————————> 2.2
5) RISK ——————————————————> 400
6) ATR TRAIL ———————————————> 2.6
7) TARGET 1 ————————————————> 2.1
8) MAX POSITION VALUE ——————————> 1,00,000
8) MAX DRAWDOWN —————————————> 2,000
8) SQUARE-OFF ————————————————> 14:55
NSE:TCS
Apply it to your charts Now !!
Send us a message to know more about this strategy
Thank You ☺ NSE:TCS
The Gral : Alpha Scalping Demo (Algo) You want to make money. This bot will allow you to do it.
We know how it can be challenging, frustrating, struggling to make money especially in bear market. Save your energy, your emotions, your nerves! Alpha Scalping will allow you to sleep better and make money while you sleep!
We tested hundreds of indicators, strategies, mt4 ea and bots since 2010, today we will start to release a series of successful bots and automatic strategies for you, some of them will be free, some of them will be paid (monthly subscriptions)
We will alsoindicate how to connect the Alpha Scalping to your Binance or FTX account so you can trade automatically.
Enjoy, subscribe and stay tuned!
NB : This bot is a demo only, it will work only on ALGOUSDTPERP
Bot for ATOMUSDTPERP :
5-8-13 EMAs Strategy (Andrew's Trading Channel)============
ENGLISH
============
- Description:
This strategy was designed by "Andrew's Trading Channel" (credits to him for the base strategy).
A lot of improvements have been added to the strategy, more conditions, trailing stop, custom stop loss and take profit, everything explained below.
- CONDITIONS FOR ENTERING A LONG:
EMA 5 crossovers EMA 8.
- EXIT LONG:
EMA 8 crossovers EMA 8 and closing price goes below EMA 13.
- CONDITIONS FOR ENTERING SHORT:
EMA 8 crossovers EMA 5.
- EXIT SHORT:
EMA 5 crossovers EMA 8 and closing price goes above EMA 13.
- Visual:
All EMAs are visible (5, 8 and 13 periods) with different and customizable colors/width.
Position start price, take profit, stop loss and trailing stop (if present) are shown automatically.
Background color shows green when LONG conditions are met (and of course, position is opened on the next candle), same for SHORT but red.
- Usage and recommendations:
As this is a coded strategy, you don't even have to check for indicators, just open and close trades as the strategy shows.
There're various customizable settings like optional take profit/stop loss, trailing stop (both based on ATR or any of the EMAs), open only LONGs/SHORTs or both, date range...
Take profit and stop loss ATR default values have been tested for scalping on 5 min charts, however feel free to check strategy results and increase the winning rate/profit for your favorite asset.
- Customization:
As usual I like to make as many aspects of my indicators/strategies customizable, indicators, colors etc., feel free to ask if you feel that something that should be configurable is missing or if you have any ideas to optimize the strategy.
============
ESPAÑOL
============
- Descripción:
Esta estrategia fue diseñada por "Andrew's Trading Channel" (créditos a él por la estrategia base).
Se han añadido muchas mejoras a la estrategia, más condiciones, trailing stop, stop loss y take profit personalizados, todo explicado a continuación.
- CONDICIONES PARA ENTRAR EN LONG:
Cruce de EMA 5 con EMA 8 ascendente.
- SALIR DE LONG:
Cruce de EMA 8 con EMA 5 ascendente y el precio de cierre se sitúa por debajo de la EMA 13.
- CONDICIONES PARA ENTRAR EN SHORT:
Cruce de EMA 8 con EMA 5 ascendente.
- SALIR DE SHORT:
Cruce de EMA 5 con EMA 8 ascendente y el precio de cierre se sitúa por encima de la EMA 13.
- Visual:
Todas las EMAs son visibles (5, 8 y 13 períodos) con colores/anchos y personalizables.
El precio de inicio de la posición, el take profit, el stop loss y el trailing stop (si están presentes) se muestran automáticamente.
El color de fondo es verde cuando se cumplen las condiciones de LONG (y por supuesto, la posición se abre en la siguiente vela), lo mismo para SHORT pero en rojo.
- Uso y recomendaciones:
Como esta es una estrategia programada, ni siquiera tienes que comprobar los indicadores, sólo abrir y cerrar las operaciones como te muestra la estrategia.
Hay varios ajustes personalizables como el take profit/stop loss opcional, el trailing stop (ambos basados en el ATR o en cualquiera de las EMAs), abrir sólo LONGs/SHORTs o ambos, rango de fechas...
Los valores por defecto del take profit y el stop loss ATR han sido probados para scalping en gráficos de 5 minutos, sin embargo, siéntase libre de comprobar los resultados de la estrategia y aumentar la tasa de ganancia / beneficio para su activo favorito.
- Personalización:
Como siempre me gusta hacer personalizables todos los aspectos de mis indicadores/estrategias, indicadores, colores, etc., siéntase libre de preguntar si cree que falta algo que debería ser configurable o si tiene alguna idea para optimizar la estrategia.
VXD SupercycleVXD is a brand new indicator and still developing. to minimize stop losses and overcome sideways market conditions, Higher Timeframe are recommended
Trend lines
-using Rolling VWAP as trend line to determined if Volume related to a certain price.
-you can switch RVWAP to EMA in the setting
ATR
-trailing 12*ATR and 2.4 Mutiplier
Pivot point and Rejected Block
Pivot show last High and low of a price in past bars
Rejected Block show when that High or Low price are important level to determined if it's Hidden Divergence or Divergence
Symbols on chart show Premium and Discount Prices
X-Cross - show potential reversal trend with weak volume .
O-circle - show potential reversal trend with strong volume .
Setting
Momentum: RSI = 25 , RSI MA = 14
Trend: Rolling VWAP and ATR and Subhag
Trailing STOP: ATR 12 x 2.4
Highlight Bars color when volume is above SMA 6
SMA200 act as TP Line
Risk:Reward Calculation
if Buy your Stoploss will be previous Pivot low
if Sell your Stoploss will be previous Pivot high and will be calculated form there, then show TP in Orange color line
VXD เป็นระบบเทรดที่ผมทดลองเอาหลาย ๆ ไอเดีย ทั้งจาก Youtube facebook และกลุ่มคนต่าง ๆ มารวบรวมไว้ แล้วตกผลึกขึ้นมาเป็นระบบนี้ ใน Timeframe ใหญ่ ๆ สามารถลากได้ทั้ง Cycle กันเลย
Trend lines
-ใช้ Rolling VWAP ของแอพ Tradingview (สามารถตั้งแค่าเป็น EMA ได้)
ATR
-ใช้ค่า ATR 12 Mutiplier 2.4
Pivot point and Rejected Block
Pivot โชว์เส้น High low และมีผลกับออเดอร์ หากแท่งเทียนปิดทะลุเส้นนี้
Rejected Block วาดแนวรับ-ต้าน อัตโนมัติ ใช้ประกอบ RSI ว่ามี Divergence หรือไม่
สัญลักษณ์ต่าง ๆ
X-Cross - แท่งกลืนกิน วอลุ่มน้อย
O-circle - แท่งกลืนกิน มีวอลุ่ม
Setting
Momentum: RSI = 25 , RSI MA = 14
Trend: Rolling VWAP and ATR and Subhag
Trailing STOP: ATR 12 x 2.4
Highlight Bars color when volume is above SMA 6
SMA200 act as TP Line
Risk:Reward Calculation
หาก Buy จุด SL จะอยู่ที่ Pivot low
หาก Sell จุด SL จะอยู่ที่ Pivot high และระบบจะคำนวณจากตรงนั้น จากนั้นแสดงเป็นเส้น TP สีส้ม
This Strategy Combined the following indicators and conditioning by me
ATR , RSI , EMA , SMA
Rolling VWAP - /script/ZU2UUu9T-Rolling-VWAP/
Regression Lines - Subhag form Subhag Ghosh /script/LHHBVpQu-Subhag-Ghosh-Algo-Version-for-banknifty/
Rejection Block , Pivots , High Volume Bars and PPDD form Super OrderBlock / FVG / BoS Tools by makuchaku & eFe /script/aZACDmTC-Super-OrderBlock-FVG-BoS-Tools-by-makuchaku-eFe/
ขอให้รวยครับ.
Estrategia Larry Connors [JoseMetal]============
ENGLISH
============
- Description:
This strategy is based on the original Larry Connors strategy, using 2 SMAs and RSI.
The strategy has been optimized for better total profit and works better on 4H (tested on BTCUSDT).
LONG:
Price must be ABOVE the slow SMA.
When a candle closes in RSI oversold area, the next candle closes out of the oversold area and the closing price is BELOW the fast SMA = open LONG.
LONG is closed when a candle closes ABOVE the fast SMA.
SHORT:
Price must be BELOW the slow SMA.
When a candle closes in RSI overbought area, the next candle closes out of the overbought area and the closing price is ABOVE the fast SMA = open SHORT.
SHORT is closed when a candle closes BELOW the fast SMA.
*Larry Connor's strategy does NOT use a fixed Stop Loss or Take Profit, as he said, that reduces performance significantly.
- Visual:
Both SMAs (fast and slow) are shown in the chart.
By default, the fast SMA is aqua color, the slow changes between green and red depending on the "trend" (price over slow SMA = bullish, below = bearish).
RSI can't be shown because TradingView doesn't allow to show both overlay and panel indicators, so candles get a RED color when RSI is in OVERBOUGHT area and GREEN when they're on OVERSOLD area to help with that.
Background is colored when conditions are met and a position is going to be open, green for LONGs red for SHORTs.
- Usage and recommendations:
As this is a coded strategy, you don't even have to check for indicators, just open and close trades as the strategy shows.
The original strategy uses a 5 period SMA instead of the 10, and 10/90 for oversold/overbought levels, this has been optimized after the testings and results but feel free to change settings and test by yourself.
Also, the original strategy was developed for daily, but seems to work better en 4H.
- Customization:
As usual I like to make as many aspects of my indicators/strategies customizable, indicators, colors etc., feel free to ask if you feel that something that should be configurable is missing or if you have any ideas to optimize the strategy.
============
ESPAÑOL
============
- Descripción:
Esta estrategia está basada en la estrategia original de Larry Connors, utilizando 2 SMAs y RSI.
La estrategia ha sido optimizada para un mejor beneficio total y funciona mejor en 4H (probado en BTCUSDT).
LONG:
El precio debe estar por encima de la SMA lenta.
Cuando una vela cierra en la zona de sobreventa del RSI, la siguiente vela cierra fuera de la zona de sobreventa y el precio de cierre está POR DEBAJO de la SMA rápida = abre LONG.
Se cierra cuando una vela cierra POR ENCIMA de la SMA rápida.
SHORT:
El precio debe estar POR DEBAJO de la SMA lenta.
Cuando una vela cierra en la zona de sobrecompra del RSI, la siguiente vela cierra fuera de la zona de sobrecompra y el precio de cierre está POR ENCIMA de la SMA rápida = abre SHORT.
Se cierra cuando una vela cierra POR DEBAJO de la SMA rápida.
*La estrategia de Larry Connor NO utiliza un Stop Loss o Take Profit fijo, como él dijo, eso reduce el rendimiento significativamente.
- Visual:
Ambas SMAs (rápida y lenta) se muestran en el gráfico.
Por defecto, la SMA rápida es de color aqua, la lenta cambia entre verde y rojo dependiendo de la "tendencia" (precio por encima de la SMA lenta = alcista, por debajo = bajista).
El RSI no puede mostrarse porque TradingView no permite mostrar tanto los indicadores superpuestos como los del panel, así que las velas obtienen un color ROJO cuando el RSI está en el área de SOBRECOMPRA y VERDE cuando están en el área de VENTA para ayudar a ello.
El fondo se colorea cuando se cumplen las condiciones y se va a abrir una posición, verde para LONGs rojo para SHORTs.
- Uso y recomendaciones:
Como se trata de una estrategia ya programada, ni siquiera hay que comprobar los indicadores, sólo hay que abrir y cerrar las operaciones tal y como muestra la estrategia en el gráfico.
La estrategia original utiliza una SMA de 5 periodos en lugar de 10, y 10/90 para los niveles de sobreventa/sobrecompra, esto ha sido optimizado después de las pruebas y los resultados, pero sé libre de cambiar la configuración y probarla por sí mismo.
Además, la estrategia original fue desarrollada para diario, pero parece funcionar mejor en 4H.
- Personalización:
Como siempre me gusta hacer personalizables todos los aspectos de mis indicadores/estrategias, indicadores, colores, etc., preguntar si notas que falta algo que debería ser configurable o si tienes alguna idea para optimizar la estrategia.
bollinger_Banknifty_CE_PEIt is more suitable for day trading with a 15 min chart. It is more profitable in Banknifty option only. It is based on multiple Bollinger Band and RSI .
The label with Buy+1 and Buy-1 represents more profitable entry positions. The label Buy+1 and Buy-1 stands for entry positions/signals of option "CE" and option "PE" buy at ATM price and backtest results are based on last year's data with one lot .
The Blue dots indicates trailing stop loss of "CE" position and green dots indicates trailing stop loss of "PE" position.
It has an initial capital of 100000 and the size of the lot is 1. The target is 0.8% , stop-loss is 0.35% and trailing stop loss is 0.3% with close candle.
The commission paid is 20 cash per trade and the slippage is 5 ticks per trade. Some of the Indian broker's commission is only 10 cash per trade. Adjust the commission as per your broker.
Trades are conducted based on the intraday time in India set from 9.45 am to 3.0 pm. All positions will get square off at 3.15 pm.
It will execute a maximum of 2 trades per day. All other parameters are suitable for Algo trading with Indian stock brokers.
Banknifty option buy CE & PEIt is more suitable for day trading with a 15 min chart. It is more profitable in option only. It is based on multiple Supertrend, moving average, and .The label with Buy+1 and Buy-1 represents more profitable entry positions. The label Buy+1 and Buy-1 stands for entry positions/signals of option "CE" and option "PE" buy at ATM price and backtest results are based on last year's data with one lot .The Blue dots indicates trailing stop loss of "CE" position and green dots indicates trailing stop loss of "PE" position.It has an initial capital of 100000 and the size of the lot is 1. The target is 0.8% , stop-loss is 0.35% and trailing stop loss is 0.3% with close candle.The commission paid is 20 cash per trade and the slippage is 5 ticks per trade. Some of the Indian broker's commission is only 10 cash per trade. Adjust the commission as per your broker.Trades are conducted based on the intraday time in India set from 9.45 am to 3.0 pm. All positions will get square off at 3.15 pm.It will execute a maximum of 2 trades per day. All other parameters are suitable for Algo trading with Indian stock brokers.
