RCI 2 Dashboards ✅ Strategy: RCI 2 Dashboards BY Sonu JAIN
This advanced strategy is built around the Rank Correlation Index (RCI), a unique momentum oscillator, and combines it with a comprehensive suite of powerful indicators to identify high-probability trading opportunities. The strategy’s core strength lies in its ability to filter signals using up to 12 different conditions for both long and short trades.
To make the decision-making process clear and intuitive, the strategy features two dynamic, customizable dashboards right on your chart. The first dashboard gives you a live, detailed breakdown of which conditions are met, while the second provides a real-time overview of the strategy’s performance.
How It Works
The strategy generates entry signals based on RCI crossovers and crossunders. These signals are then filtered by a customizable combination of other indicators to confirm the trade.
Long Entry:
The RCI crosses over its moving average.
All enabled long-side filters are met.
Short Entry:
The RCI crosses under its moving average.
All enabled short-side filters are met.
Key Features
RCI Crossover Logic: The core of the strategy is an RCI crossover/crossunder with a customizable moving average (MA). You can choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
12 Optional Filters: This strategy goes far beyond a simple RCI signal. You can enable or disable a wide range of filters to refine your entries. These include:
Trend: Supertrend, Parabolic SAR (SAR), and Vortex Indicator.
Volatility: Keltner Channels (KC) and Bollinger Bands (BB).
Momentum: Woodies CCI, Money Flow Index (MFI), and Relative Strength Index (RSI).
Volume: On-Balance Volume (OBV) and simple Volume analysis.
Directional Strength: Average Directional Index (ADX).
Timing: A time-of-day filter to trade only during specific market hours.
Dual Dashboards:
Detailed Condition Dashboard: This dashboard shows you exactly which of the 12 filters are currently met with a simple ✓ or ✗. This provides instant clarity on why a trade is or isn't being considered.
Performance Dashboard: This dashboard displays key performance metrics in real-time, including net profit, win rate, profit factor, max drawdown, and current/max winning and losing streaks. It also provides details on the most recent trade, such as entry, stop-loss, and exit prices.
Customizable Stop Loss: The strategy includes a fixed percentage-based stop loss for both long and short positions, which you can easily configure in the settings.
Trade Direction Control: You can choose to trade "Long Only," "Short Only," or "Long & Short," giving you complete control over your trading bias.
This strategy is a powerful tool for traders who want to build a robust, multi-filtered system. The included dashboards make it an excellent educational tool for understanding how different indicators work together to form a complete trading plan. You can use it to backtest and optimize your own unique combination of indicators to find the perfect setup for your market and timeframe.
在腳本中搜尋"stop loss"
ICT OTE StrategyStrategy Overview
This strategy is designed to automate a specific trading setup based on the concepts of Inner Circle Trader (ICT). Its primary goal is to identify significant market structure swings, frame a Fibonacci retracement over the most recent price leg, and execute a trade when the price pulls back to a key user-defined level. It is a counter-trend entry strategy, meaning it looks to enter a trade during a pullback within an established trend.
How It Works: Step-by-Step
1. Swing Detection:
The strategy first identifies significant swing highs and swing lows.
A swing high is confirmed only if it's higher than a specific number of bars to its left and right (defined by "Left Strength" and "Right Strength" in the settings).
The same logic applies to swing lows, which must be lower than the bars around them. This filtering ensures only structurally important turning points are considered.
2. Defining the Trading Range:
Once a new swing is confirmed, the strategy defines the most recent dealing range.
If a new swing high forms, the range is drawn from the previous swing low up to this new high. This is considered a bullish leg.
If a new swing low forms, the range is drawn from the previous swing high down to this new low. This is considered a bearish leg.
3. Fibonacci Retracement & Trade Setup:
An automatic Fibonacci retracement tool is drawn over this newly defined dealing range. The 0.0 level is placed at the end of the move, and the 1.0 level is at the beginning.
The strategy then prepares to enter a trade based on this range.
4. Trade Execution:
Entry: A limit order is placed at a specific Fibonacci level within the range, waiting for the price to retrace. The default entry is the 0.618 level, but this can be changed in the settings.
For a bullish leg, it places a LONG (Buy) order, anticipating that the price will bounce from the retracement level.
For a bearish leg, it places a SHORT (Sell) order, anticipating that the price will be rejected from the retracement level.
Stop Loss: The Stop Loss is automatically placed at the 1.0 level of the Fibonacci range. This is the point where the original trade idea is invalidated.
Take Profit: The Take Profit is automatically placed at the 0.0 level of the Fibonacci range. This is the target at the end of the price leg.
Key Features & Customization
Automated Trade Logic: The entire process, from identifying the setup to placing the entry, stop loss, and take profit, is fully automated.
Visual Aid: The script draws the swing points and the Fibonacci retracement on the chart, so you can visually confirm the setups the strategy is taking.
Customizable Entry: You can change the "Entry Level" in the settings to test different Fibonacci levels, such as the Optimal Trade Entry (OTE) at 0.705.
Toggle Visuals: You can turn the Fibonacci drawing on or off to keep your chart clean while still allowing the strategy to run in the background.
NQ Phantom Scalper Pro# 👻 NQ Phantom Scalper Pro
**Advanced VWAP Mean Reversion Strategy with Volume Confirmation**
## 🎯 Strategy Overview
The NQ Phantom Scalper Pro is a sophisticated mean reversion strategy designed specifically for Nasdaq 100 (NQ) futures scalping. This strategy combines Volume Weighted Average Price (VWAP) bands with intelligent volume spike detection to identify high-probability reversal opportunities during optimal market hours.
## 🔧 Key Features
### VWAP Band System
- **Dynamic VWAP Bands**: Automatically adjusting standard deviation bands based on intraday volatility
- **Multiple Band Levels**: Configurable Band #1 (entry trigger) and Band #2 (profit target reference)
- **Flexible Anchoring**: Choose from Session, Week, Month, Quarter, or Year-based VWAP calculations
### Volume Intelligence
- **Volume Spike Detection**: Only triggers entries when volume exceeds SMA by configurable multiplier
- **Relative Volume Display**: Real-time volume strength indicator in info panel
- **Optional Volume Filter**: Can be disabled for testing alternative setups
### Advanced Time Management
- **12-Hour Format**: User-friendly time inputs (9 AM - 4 PM default)
- **Lunch Filter**: Automatically avoids low-liquidity lunch period (12-2 PM)
- **Visual Time Zones**: Color-coded background for active/inactive periods
- **Market Hours Focus**: Optimized for peak NQ trading sessions
### Smart Risk Management
- **ATR-Based Stops**: Volatility-adjusted stop losses using Average True Range
- **Dual Exit Strategy**: VWAP mean reversion + fixed profit targets
- **Adjustable Risk-Reward**: Configurable target ratio to opposite VWAP band
- **Position Sizing**: Percentage-based equity allocation
### Optional Trend Filter
- **EMA Trend Alignment**: Optional trend filter to avoid counter-trend trades
- **Configurable Period**: Adjustable EMA length for trend determination
- **Toggle Functionality**: Enable/disable based on market conditions
## 📊 How It Works
### Entry Logic
**Long Entries**: Triggered when price touches lower VWAP band + volume spike during active hours
**Short Entries**: Triggered when price touches upper VWAP band + volume spike during active hours
### Exit Strategy
1. **VWAP Mean Reversion**: Early exit when price returns to VWAP center line
2. **Profit Target**: Fixed target based on percentage to opposite VWAP band
3. **Stop Loss**: ATR-based protective stop
### Visual Elements
- **VWAP Center Line**: Blue line showing volume-weighted fair value
- **Green Bands**: Entry trigger levels (Band #1)
- **Red Bands**: Extended levels for target reference (Band #2)
- **Orange EMA**: Trend filter line (when enabled)
- **Background Colors**: Yellow (lunch), Gray (after hours), Clear (active trading)
- **Info Panel**: Real-time metrics display
## ⚙️ Recommended Settings
### Timeframes
- **Primary**: 1-5 minute charts for scalping
- **Validation**: Test on 15-minute for swing applications
### Market Conditions
- **Best Performance**: Ranging/choppy markets with good volume
- **Trend Markets**: Enable trend filter to avoid counter-trend trades
- **High Volatility**: Increase ATR multiplier for stops
### Session Optimization
- **Pre-Market**: Generally avoided (low volume)
- **Morning Session**: 9:30 AM - 12:00 PM (high activity)
- **Lunch Period**: 12:00 PM - 2:00 PM (filtered by default)
- **Afternoon Session**: 2:00 PM - 4:00 PM (good volume)
- **After Hours**: Generally avoided (wide spreads)
## ⚠️ Risk Disclaimer
This strategy is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Trading futures involves substantial risk of loss and is not suitable for all investors. Users should:
- Thoroughly backtest on historical data
- Start with small position sizes
- Understand the risks of leveraged trading
- Consider transaction costs and slippage
- Never risk more than you can afford to lose
## 📈 Performance Tips
1. **Volume Threshold**: Adjust volume multiplier based on average NQ volume patterns
2. **Band Sensitivity**: Modify band multipliers for different volatility regimes
3. **Time Filters**: Customize trading hours based on your timezone and preferences
4. **Trend Alignment**: Use trend filter during strong directional markets
5. **Risk Management**: Always maintain consistent position sizing and risk parameters
**Version**: 6.0 Compatible
**Asset**: Optimized for NASDAQ 100 Futures (NQ)
**Style**: Mean Reversion Scalping
**Frequency**: High-Frequency Trading Ready
HMA Crossover + ATR + Curvature (Long & Short)📏 Hull Moving Averages (Trend Filters)
- fastHMA = ta.hma(close, fastLength)
- slowHMA = ta.hma(close, slowLength)
These two HMAs act as dynamic trend indicators:
- A bullish crossover of fast over slow HMA signals a potential long setup.
- A bearish crossunder triggers short interest.
⚡️ Curvature (Acceleration Filter)
- curv = ta.change(ta.change(fastHMA))
This calculates the second-order change (akin to the second derivative) of the fast HMA — effectively the acceleration of the trend. It serves as a filter:
- For long entries: curv > curvThresh (positive acceleration)
- For short entries: curv < -curvThresh (negative acceleration)
It helps eliminate weak or stagnating moves by requiring momentum behind the crossover.
📈 Volatility-Based Risk Management (ATR)
- atr = ta.atr(atrLength)
- stopLoss = atr * atrMult
- trailStop = atr * trailMult
These define your:
- Initial stop loss: scaled to recent volatility using ATR and atrMult.
- Trailing stop: also ATR-scaled, to lock in gains dynamically as price moves favorably.
💰 Position Sizing via Risk Percent
- capital = strategy.equity
- riskCapital = capital * (riskPercent / 100)
- qty = riskCapital / stopLoss
This dynamically calculates the position size (qty) such that if the stop loss is hit, the loss does not exceed the predefined percentage of account equity. It’s a volatility-adjusted position sizing method, keeping your risk consistent regardless of market conditions.
📌 Execution Logic
- Long Entry: on bullish HMA crossover with rising curvature.
- Short Entry: on bearish crossover with falling curvature.
- Exits: use ATR-based trailing stops.
- Position is closed when trend conditions reverse (e.g., bearish crossover exits the long).
This framework gives you:
- Trend-following logic (via HMAs)
- Momentum confirmation (via curvature)
- Volatility-aware execution and exits (via ATR)
- Risk-controlled dynamic sizing
Want to get surgical and test what happens if we use curvature on the difference between HMAs instead? That might give some cool insights into trend strength transitions.
Zero Lag MACD + Kijun-sen + EOM StrategyThis strategy offers a robust approach to identifying high-probability trading opportunities in the fast-paced cryptocurrency markets, particularly on lower timeframes (e.g., 5-minute). It leverages the synergistic power of three distinct indicators to confirm entries, ensuring a disciplined approach to risk management.
Key Components:
Zero Lag MACD Enhanced Version 1.2: This core momentum indicator is used to identify precise shifts in trend and momentum, offering reduced lag compared to traditional MACD. Entry signals are filtered based on the histogram's position (below for buys, above for sells) to enhance signal reliability.
Kijun-sen (Ichimoku Cloud): Acting as a dynamic support/resistance and trend filter, the Kijun-sen line confirms the prevailing market direction. Long entries are confirmed when price is above Kijun-sen, and short entries when price is below.
Ease of Movement (EoM): This volume-based oscillator provides crucial confirmation of price movements by measuring the ease with which price changes. Positive EoM confirms buying pressure, while negative confirms selling pressure, adding an essential layer of validation to trade setups.
How it Works:
The strategy generates entry signals only when all three indicators align simultaneously:
For Long Entries: A Zero Lag MACD buy signal (crossover below histogram) must coincide with price trading above the Kijun-sen, and the Ease of Movement indicator being above its zero line.
For Short Entries: A Zero Lag MACD sell signal (crossover above histogram) must coincide with price trading below the Kijun-sen, and the Ease of Movement indicator being below its zero line.
Entries are executed at the open of the candle immediately following the signal confirmation.
Risk Management:
Disciplined risk management is paramount to this strategy:
Dynamic Stop-Loss: An Average True Range (ATR) based stop-loss is implemented, set at 2.5 times the current ATR. This adapts the stop-loss distance to market volatility, ensuring sensible risk sizing.
Fixed Take-Profit: A consistent Risk-to-Reward (R:R) ratio of 1:1.2 is applied for all trades, promoting stable profit realization.
Customization & Optimization:
The strategy is built with fully customizable input parameters for each indicator (MACD lengths, Kijun-sen period, ATR period, ATR multiplier, and Risk-to-Reward ratio). This allows users to fine-tune the strategy for different assets, timeframes, and market conditions, facilitating robust backtesting and optimization.
Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational and informational purposes only. Always use proper risk management and conduct your own due diligence.
Strategy Builder Pro [ChartPrime]ChartPrime Strategy Creator Overview
The ChartPrime Strategy Builder offers traders an innovative, structured approach to building and testing strategies. The Strategy Creator allows users to combine, test, and automate complex strategies with many parameters.
Key Features of the ChartPrime Strategy Builder
1. Customizable Buy and Sell Conditions
The Strategy Creator provides flexibility in establishing entry and exit rules, with separate sections for long and short strategies. Traders can combine multiple conditions in each section to fine-tune when positions are opened or closed. For instance, they might choose to only buy when the indicator signals a buy and the Dynamic Reactor (a low lag filter) indicator shows a bullish trend. Users are able to pick, mix and match the following list of features:
Signal Mode: Select the type of assistive signals you are requiring. Provided are both trend following signals with self optimization using backtest results as well as reversal signals, aiming to provide real time tops and bottoms in markets. Both these signal modes can be fine tuned using the tuning input to refine signals to a trader's liking. ChartPrime Trend Signals leverage audio engineering inspired techniques and low-pass filters in order to achieve and attempt to produce lower lag response times and therefore are designed to have a uniqueness when compared to more classical trend following approaches.
The Dynamic Reactor: provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique adaptivity calculations gives this plot a unique and fast behavior.
Candlestick structures: analyze candlestick formation putting a spin on classical candlestick patterns and provide the most relevant formations on the chart. These are not classical and are filtered by further analyzing market activity. A trader's classic with a spin.
The Prime Trend Assistant: provides a trend following dynamic support and resistance level. This makes it perfect to use in confluence or as a filter for other supporting indicators. This is an adaptive trend following system designed to handle volatility leveraging filter kernels as opposed to low pass filters.
Money Flow: with further filters applied for early response to money flow changes in the market. This can be a great filter in trends.
Oscillator reversals: are built in leveraging an oscillator focusing on market momentum allowing users to enter based on market shifts and trends along with reversals.
Volume-Inspired Signals: determine overbought and oversold conditions, adding another layer of analysis to the oscillator. These appear as orange labels, providing a simple reading into a possible reversal.
The Volume Matrix: is a volume oscillator that shows whether money is flowing into or out of the market. Green suggests an uptrend with buyers in control, while red indicates a majority of sellers. By incorporating smoothed volume analysis, it distinguishes between bullish and bearish volumes, offering an early indication of potential trend reversals.
The True 7: is a middle-ranking system that evaluates the strength of a move and the overall trend, offering a numeric or visual representation of trend strength. It can also indicate when a trend is starting to reverse, providing leading signals for potential market shifts. Rather than using an oscillator, this offers the unique edge of falling into set categories, making understanding it simple. This can be a great confluence point when designing a strategy.
Take profits: These offer real-time suggestions from our algorithm on when it might be a good time to take profit. Using these as part of a strategy allows for great entries at bottoms and tops of trends.
Using features such as the Dynamic reactor have dual purposes. Traders can use this as both a filter and an entry condition. This allows for true interoperability when using the Strategy Builder. The above conditions are duplicated for short entries too allowing for symmetrical trading systems. By disabling all of the entry conditions on either long or short areas of the settings will create a strategy that only takes a single type of position. For example; a trader that just wants to take longs can disable all short options.
2. Layered Entries
Layered entries, a feature to enhance the uniqueness in the tool. It allows traders to average into positions as the market moves, rather than committing all capital at once. This feature is particularly useful for volatile markets where prices may fluctuate substantially. The Strategy Builder lets users adjust the number of layered entries, which can help in managing risk and optimizing entry points as well as the aggressiveness of the safety orders. With each safety order placed the system will automatically and dynamically scale into positions reducing the average entry price and hence dynamically adjust the potential take profits. Due to the potential complexities of exiting during multiple orders, a smart system is employed to automatically take profits on the layered system aiming to take profits at peaks of trends.
Users are able to override this smart TP system at the bottom of the settings instead targeting percentage profits for both short and long positions.
Entries lowering average buy price
The ability to adjust how quickly the system layers into positions can also be adjusted via the layered entries drop down between fast and slow mode where the slow mode will be more cautious when producing new orders.
3. Flexible Take Profit (TP) and Stop Loss (SL) Options
Traders can set their TP and SL levels according to various parameters, including ATR (Average True Range), risk-reward ratio, trailing stops, or specific price changes. If layered entries are active, an automatic TP method is applied by default, though traders can manually specify TP values if they prefer. This setup allows for precise control over trade exits, tailored to the strategy’s risk profile.
Provided options
The ability to use external take profits and stop losses is also provided. By loading an indicator of your choice the plots will be added to the chart. By navigating to the external sources area of the settings, users can select this plot and use it as part of a wider trading system.
Example: Let’s say a user has entries based on the inbuilt trend signals and wishes to exit whenever the RSI crosses above 70, they can add RSI to the chart, select crossing up and enter the value of 70.
4. Integrated Reinvestment for Compounding Gains
The reinvestment option allows traders to reinvest a portion of their gains into future trades, increasing trade size over time and benefiting from compounding. For example, a user might set 30% of each trade's profit to reinvest, with the remaining 70% allocated for risk management or additional safety orders. This approach can enhance long-term growth while balancing risk.
Generally in trading it can be a good approach to take profits so we suggest a healthy balance. This setting is generally best used for slow steady strategies with the long term aim of accumulating as much of the asset as possible.
5. Leverage and Position Sizing
Users can configure leverage and position sizing to simulate varying risk levels and capital allocations. A dashboard on the interface displays margin requirements based on the selected leverage, allowing traders to estimate trade sizes relative to their available capital. Whenever using leverage especially with layered entries it’s important to keep a close eye on the position sizes to avoid potential liquidations.
6. Pre-Configured Strategies for Immediate Testing
For users seeking a starting point, ChartPrime includes a range of preset strategies. These were developed and backtested by ChartPrime’s team. This allows traders to start with a stable base and adapt it to their own preferences. It is vital to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. These pre-built configurations offer a structured way and base to design strategies off of. These are also subject to changing results as new price action arrives and they become outdated. They serve the purpose of simply being example use cases.
7. In-Depth Specific Backtesting Ranges
The Strategy Builder includes backtesting capabilities, providing a clear view of how different setups would have performed over specified time periods. Traders can select date ranges to target specific market conditions, then review results on TradingView to see how their strategies perform across different market trends.
Example Use Case: Developing a Strategy
Consider a trader who is focused on long positions only and prefers a lower-risk strategy (note these tools can be used for all assets; we are using an undisclosed asset as an example). Using the Strategy Builder, they could:
- Disable short conditions.
- Set long entry rules to trigger when both the ChartPrime oscillator and Quantum Reactor indicators show bullish signals.
- Enable layered entries to improve average entry prices by adding to positions during market dips.
- Run a backtest over a two-year period to see historical performance trends, making adjustments as needed.
The backtest will show where entries and exits would have occurred and how layered entries may have impacted profitability.
8. Iterative design
Strategy builders and creating a strategy is often an iterative process. By experimenting and using logic; a trader can arrive at a more sustainable system. Analyzing the shortcomings of your strategy and iteratively designing and filtering them out is the goal. For example; let’s say a strategy has high drawdown, a user would want to tighten stop losses for example to reduce this and find a balance point between optimizing winning trades and reducing the drawdown. When designing a strategy there are generally tradeoffs and optimizing taking into consideration a wide range of factors is key. This also applies to filtering techniques, entries and exits and every variable in the strategy.
Let’s say a strategy was taking too many long positions in a downtrend and after you’ve analyzed the data, you come to the conclusion this needs to be solved. Filtering these using built in trend following tools can be a great approach and refining with logic is a great approach.
The Strategy Builder also takes into consideration those who seek to automate especially via reinvesting and leverage features.
Considerations
The ChartPrime Strategy Builder aims to help traders build clear, rule-based strategies without excessive complexity. As with all backtesting tools, it's crucial to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. This tool offers a structured way to test strategies against various market conditions, helping traders refine their approaches with data-driven insights. Traders should also ensure they enter the correct fees when designing strategies and ensure usage on standard candle types.
Gold Breakout Strategy - RR 4Strategy Name: Gold Breakout Strategy - RR 4
🧠 Main Objective
This strategy aims to capitalize on breakouts from the Donchian Channel on Gold (XAU/USD) by filtering trades with:
Volume confirmation,
A custom momentum indicator (LWTI - Linear Weighted Trend Index),
And a specific trading session (8 PM to 8 AM Quebec time — GMT-5).
It takes only one trade per day, either a buy or a sell, using a fixed stop-loss at the wick of the breakout candle and a 4:1 reward-to-risk (RR) ratio.
📊 Indicators Used
Donchian Channel
Length: 96
Detects breakouts of recent highs or lows.
Volume
Simple Moving Average (SMA) over 30 bars.
A breakout is only valid if the current volume is above the SMA.
LWTI (Linear Weighted Trend Index)
Measures momentum using price differences over 25 bars, smoothed over 5.
Used to confirm trend direction:
Buy when LWTI > its smoothed version (uptrend).
Sell when LWTI < its smoothed version (downtrend).
⏰ Time Filter
The strategy only allows entries between 8 PM and 8 AM (GMT-5 / Quebec time).
A timestamp-based filter ensures the system recognizes the correct trading session even across midnight.
📌 Entry Conditions
🟢 Buy (Long)
Price breaks above the previous Donchian Channel high.
The current channel high is higher than the previous one.
Volume is above its moving average.
LWTI confirms an uptrend.
The time is within the trading session (20:00 to 08:00).
No trade has been taken yet today.
🔴 Sell (Short)
Price breaks below the previous Donchian Channel low.
The current channel low is lower than the previous one.
Volume is above its moving average.
LWTI confirms a downtrend.
The time is within the trading session.
No trade has been taken yet today.
💸 Trade Management
Stop-Loss (SL):
For long entries: placed below the wick low of the breakout candle.
For short entries: placed above the wick high of the breakout candle.
Take-Profit (TP):
Set at a fixed 4:1 reward-to-risk ratio.
Calculated as 4x the distance between the entry price and stop-loss.
No trailing stop, no break-even, no scaling in/out.
🎨 Visuals
Green triangle appears below the candle on a buy signal.
Red triangle appears above the candle on a sell signal.
Donchian Channel lines are plotted on the chart.
The strategy is designed for the 5-minute timeframe.
🔄 One Trade Per Day Rule
Once a trade is taken (buy or sell), no more trades will be executed for the rest of the day. This prevents overtrading and limits exposure.
SuperTrade ST1 StrategyOverview
The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk.
This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency.
How It Works
This strategy leverages three key components:
Supertrend Indicator
A trend-following indicator based on Average True Range (ATR).
Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility.
200-period Exponential Moving Average (EMA) Filter
Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends.
Helps filter out counter-trend entries during market pullbacks or ranges.
ATR-Based Stop Loss and Take Profit
Each trade uses the ATR to calculate volatility-adjusted exit levels.
Stop Loss: 1× ATR below entry.
Take Profit: 4× ATR above entry (1:4 R:R).
This asymmetry ensures that even with a lower win rate, the strategy can remain profitable.
Entry Conditions
A long trade is triggered when:
Supertrend flips from bearish to bullish (trend reversal).
Price closes above the Supertrend line.
Price is above the 200 EMA (bullish market bias).
Exit Logic
Once a long position is entered:
Stop loss is set 1 ATR below entry.
Take profit is set 4 ATR above entry.
The strategy automatically exits the position on either target.
Backtest Settings
This strategy is configured for realistic backtesting, including:
$10,000 account size
2% equity risk per trade
0.1% commission
1 tick slippage
These settings aim to simulate real-world conditions and avoid overly optimistic results.
How to Use
Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals.
Works best in clearly trending markets (especially in crypto, stocks, indices).
Can be paired with alerts for live trading or analysis.
Important Notes
This version is long-only by design. No short positions are executed.
Ideal for swing traders or position traders seeking asymmetric returns.
Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
Antony.N4A - ORB Quartile Strategy vv4 06_30_25📌 Antony.N4A - ORB Quartile Strategy vv4
This script implements a fully automated Opening Range Breakout (ORB) trading strategy, engineered for precision execution within predefined market windows. It is compatible with both New York and London sessions, and integrates advanced internal logic including trend validation, breakout confirmation, position scaling, and risk-defined stop/target management.
🧠 Core Logic Overview:
ORB Range Calculation: Based on configurable session time (default: 09:30–09:45 EST)
Entry Window: Trade initiations are permitted only within a defined intraday range
Trend Validation Filters: Proprietary EMA-based mechanisms to confirm directional bias
Contract Sizing Engine: Dynamically adjusts trade size to respect a per-trade risk ceiling
Risk Parameters: Designed to cap maximum loss per trade at approximately $300–400
🎯 Trade Management Rules:
Entry:
Triggered at the close of a 5-minute candle that confirms a directional breakout of the ORB
Stop Loss:
Enforced via structural breakout invalidation levels (Quartile boundaries and mid-range buffer)
Profit Targeting:
- 75% of position is closed at the first standard deviation (SD1) level
- Remaining 25% is trailed to extended targets, with stop-loss adjusted to breakeven post-partial
No pyramiding, re-entries are limited by cooldown logic and session controls
📊 Backtest Performance (Oct 2024 – Apr 2025):
Total Trades: 36
Win Rate: 64%
Worst Losing Streak: 4 consecutive trades
Worst Month: January 2025 (-1.49R)
Net Performance: +21.5R
Strategy tested on NQ futures with NY session breakout configuration
This strategy is intended for disciplined intraday traders seeking a structured, semi-mechanical approach to volatility expansion. It is best used in high-liquidity markets and news-driven sessions.
Funding Rate Strategy IndicatorDescription
Funding Rate Backtest Strategy uses smoothed funding‐rate dynamics to trigger long/short trades, enhanced by volume, session and daily‐limit filters, plus configurable profit-taking, stop-loss and trailing stops. It is designed for perpetual‐swap markets (e.g. BTCUSDT) where funding costs reflect market sentiment.
1. Strategy Logic & Components
Funding Rate Source
External: real exchange funding rate (e.g. Binance funding).
Custom: manual override value.
Simulate: sine‐wave test data between –3 and +3 to validate behavior.
Entry Conditions
LONG when fundingRate ≤ Long Threshold (default –2.0)
SHORT when fundingRate ≥ Short Threshold (default +2.0)
Volume Filter: requires a ≥ 5% increase vs prior bar.
4H Session Filter: only triggers on new 4-hour bars (optional).
Daily Cap: max 5 signals per calendar day (prevents overtrading).
Weekend Trading: on/off toggle for Saturday–Sunday.
Exit Conditions
Funding Normalization: exit LONG when fundingRate > –0.5; exit SHORT when fundingRate < +0.5.
Profit-Taking & Stop-Loss: default TP = 5%, SL = 3% of entry price.
Trailing Stop: optional 2% trailing (togglable).
2. Default Settings & Backtest Parameters
Account Size: $10,000
Position Sizing: 10% of equity per trade
Commission: 0.10% per side
Slippage: 0.05% per trade
Instrument & Timeframe: BTCUSDT perpetual, 1H bars, Jan 1 2022 – Dec 31 2023
Volume Increase: 5%
Session Filter: 4-hour bars only
Max Signals/Day: 5
Weekend Trading: Enabled
3. Backtest Results (Jan 2022–Dec 2023)
Total Trades: 142
Win Rate: 55.6%
Average R/R: 1 : 1.4
Max Drawdown: 14.8%
Net Return: +22.3%
These results assume realistic commission (0.1%) and slippage (0.05%). Past performance is not indicative of future results.
4. Default Properties Explained
Property Default Description
rateSourceChoice External Select funding‐rate data source
fundingRateLongThreshold –2.0 Funding ≤ –2% → LONG condition
fundingRateShortThreshold +2.0 Funding ≥ +2% → SHORT condition
volumeIncreasePercent 5.0 Min % volume increase vs prior bar
enableFourHourFilter true Only trigger on new 4H sessions
maxSignalsPerDay 5 Daily cap on entries
exitLongThreshold –0.5 Funding > –0.5% → exit LONG
exitShortThreshold +0.5 Funding < +0.5% → exit SHORT
takeProfitPercent 5.0 Fixed profit target in %
stopLossPercent 3.0 Fixed stop‐loss in %
useTrailingStop false Toggle trailing stop
trailingStopPercent 2.0 Trailing stop distance in %
allowWeekendTrading true Allow entries on Sat/Sun
5. How to Use
Add to Chart → search “Funding Rate Backtest.”
Configure Inputs → choose your funding‐rate feed, adjust thresholds, volume and session filters.
Position Sizing → defaults to 10% equity; adjust if desired.
Monitor Table & Signals → on‐chart shapes mark entries/exits; status table shows open P&L and signals count.
Risk Management → always verify commission/slippage settings; limit risk to sustainable levels (≤ 10% equity per trade).
6. Warnings & Disclaimer
This strategy is for educational purposes only. Real funding rates may differ—replace simulation or custom inputs with actual data. Always apply your own analysis and risk management. Past backtest performance does not guarantee future results.
External Signals Strategy Tester v5External Signals Strategy Tester v5 – User Guide (English)
1. Purpose
This Pine Script strategy is a universal back‑tester that lets you plug in any external buy/sell series (for example, another indicator, webhook feed, or higher‑time‑frame condition) and evaluate a rich set of money‑management rules around it – with a single click on/off workflow for every module.
2. Core Workflow
Feed signals
Buy Signal / Sell Signal inputs accept any series (price, boolean, output of request.security(), etc.).
A crossover above 0 is treated as “signal fired”.
Date filter
Start Date / End Date restricts the test window so you can exclude unwanted history.
Trade engine
Optional Long / Short enable toggles.
Choose whether opposite signals simply close the trade or reverse it (flip direction in one transaction).
Risk modules – all opt‑in via check‑boxes
Classic % block – fixed % Take‑Profit / Stop‑Loss / Break‑Even.
Fibonacci Bollinger Bands (FBB) module
Draws dynamic VWMA/HMA/SMA/EMA/DEMA/TEMA mid‑line with ATR‑scaled Fibonacci envelopes.
Every line can be used for stops, trailing, or multi‑target exits.
Separate LONG and SHORT sub‑modules
Each has its own SL plus three Take‑Profits (TP1‑TP3).
Per TP you set line, position‑percentage to close, and an optional trailing flag.
Executed TP/SLs deactivate themselves so they cannot refire.
Trailing behaviour
If Trail is checked, the selected line is re‑evaluated once per bar; the order is amended via strategy.exit().
3. Inputs Overview
Group Parameter Notes
Trade Settings Enable Long / Enable Short Master switches
Close on Opposite / Reverse Position How to react to a counter‑signal
Risk % Use TP / SL / BE + their % Traditional fixed‑distance management
Fibo Bands FIBO LEVELS ENABLE + visual style/length Turn indicator overlay on/off
FBB LONG SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a long is open
FBB SHORT SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a short is open
Line choices: Basis, 0.236, 0.382, 0.5, 0.618, 0.764, 1.0 – long rules use lower bands, short rules use upper bands automatically.
4. Algorithm Details
Position open
On the very first bar after entry, the script checks the direction and activates the corresponding LONG or SHORT module, deactivating the other.
Order management loop (every bar)
FBB Stop‑Loss: placed/updated at chosen band; if trailing, follows the new value.
TP1‑TP3: each active target updates its limit price to the selected band (or holds static if trailing is off).
The classic % block runs in parallel; its exits have priority because they call strategy.close_all().
Exit handling
When any strategy.exit() fires, the script reads exit_id and flips the *_Active flag so that order will not be recreated.
A Stop‑Loss (SL) also disables all remaining TPs for that leg.
5. Typical Use Cases
Scenario Suggested Setup
Scalping longs into VWAP‐reversion Enable LONG TP1 @ 0.382 (30 %), TP2 @ 0.618 (40 %), SL @ 0.236 + trailing
Fade shorts during news spikes Enable SHORT SL @ 1.0 (no trail) and SHORT TP1,2,3 on consecutive lowers with small size‑outs
Classic trend‑follow Use only classic % TP/SL block and disable FBB modules
6. Hints & Tips
Signal quality matters – this script manages exits, it does not generate entries.
Keep TV time zone in mind when picking start/end dates.
For portfolio‑style testing allocate smaller default_qty_value than 100 % or use strategy.percent_of_equity sizing.
You can combine FBB exits with fixed‑% ones for layered management.
7. Limitations / Safety
No pyramiding; the script holds max one position at a time.
All calculations are bar‑close; intra‑bar touches may differ from real‑time execution.
The indicator overlay is optional, so you can run visual‑clean tests by unchecking FIBO LEVELS ENABLE.
PEAD strategy█ OVERVIEW
This strategy trades the classic post-earnings announcement drift (PEAD).
It goes long only when the market gaps up after a positive EPS surprise.
█ LOGIC
1 — Earnings filter — EPS surprise > epsSprThresh %
2 — Gap filter — first regular 5-minute bar gaps ≥ gapThresh % above yesterday’s close
3 — Timing — only the first qualifying gap within one trading day of the earnings bar
4 — Momentum filter — last perfDays trading-day performance is positive
5 — Risk management
• Fixed stop-loss: stopPct % below entry
• Trailing exit: price < Daily EMA( emaLen )
█ INPUTS
• Gap up threshold (%) — 1 (gap size for entry)
• EPS surprise threshold (%) — 5 (min positive surprise)
• Past price performance — 20 (look-back bars for trend check)
• Fixed stop-loss (%) — 8 (hard stop distance)
• Daily EMA length — 30 (trailing exit length)
Note — Back-tests fill on the second 5-minute bar (Pine limitation).
Live trading: enable calc_on_every_tick=true for first-tick entries.
────────────────────────────────────────────
█ 概要（日本語）
本ストラテジーは決算後の PEAD を狙い、
EPS サプライズがプラス かつ 寄付きギャップアップ が発生した銘柄をスイングで買い持ちします。
█ ロジック
1 — 決算フィルター — EPS サプライズ > epsSprThresh %
2 — ギャップフィルター — レギュラー時間最初の 5 分足が前日終値＋ gapThresh %以上
3 — タイミング — 決算当日または翌営業日の最初のギャップのみエントリー
4 — モメンタムフィルター — 過去 perfDays 営業日の騰落率がプラス
5 — リスク管理
• 固定ストップ：エントリー − stopPct %
• 利確：終値が日足 EMA( emaLen ) を下抜け
█ 入力パラメータ
• Gap up threshold (%) — 1 (ギャップ条件)
• EPS surprise threshold (%) — 5 (EPS サプライズ最小値)
• Past price performance — 20 (パフォーマンス判定日数)
• Fixed stop-loss (%) — 8 (固定ストップ幅)
• Daily EMA length — 30 (利確用 EMA 期間)
注意 — Pine の仕様上、バックテストでは寄付き 5 分足の次バーで約定します。
実運用で寄付き成行に合わせたい場合は calc_on_every_tick=true を有効にしてください。
────
ご意見や質問があればお気軽にコメントください。
Happy trading!
DI+/- Cross Strategy with ATR SL and 2% TPDI+/- Cross Strategy with ATR Stop Loss and 2% Take Profit
📝 Script Description for Publishing:
This strategy is based on the directional movement of the market using the Average Directional Index (ADX) components — DI+ and DI- — to generate entry signals, with clearly defined risk and reward targets using ATR-based Stop Loss and Fixed Percentage Take Profit.
🔍 How it works:
Buy Signal: When DI+ crosses above 40, signaling strong bullish momentum.
Sell Signal: When DI- crosses above 40, indicating strong bearish momentum.
Stop Loss: Dynamically calculated using ATR × 1.5, to account for market volatility.
Take Profit: Fixed at 2% above/below the entry price, for consistent reward targeting.
🧠 Why it’s useful:
Combines momentum breakout logic with volatility-based risk management.
Works well on trending assets, especially when combined with higher timeframe filters.
Clean BUY and SELL visual labels make it easy to interpret and backtest.
✅ Tips for Use:
Use on assets with clear trends (e.g., major forex pairs, trending stocks, crypto).
Best on 30m – 4H timeframes, but can be customized.
Consider combining with other filters (e.g., EMA trend direction or Bollinger Bands) for even better accuracy.
ATM Option Selling StrategyATM Option Selling Strategy – Explained
This strategy is designed for intraday option selling based on the 9/15 EMA crossover, 50/80 MA trend filter, and RSI 50 level. It ensures that all trades are exited before market close (3:24 PM IST).
. Indicators Used:
9 EMA & 15 EMA → For short-term trend identification.
50 MA & 80 MA → To determine the overall trend.
RSI (14) → To confirm momentum (above or below 50 level).
2. Entry Conditions:
🔴 Sell ATM Call (CE) when:
Price is below 50 & 80 MA (Bearish trend).
9 EMA crosses below 15 EMA (Short-term trend turns bearish).
RSI is below 50 (Momentum confirms weakness).
🟢 Sell ATM Put (PE) when:
Price is above 50 & 80 MA (Bullish trend).
9 EMA crosses above 15 EMA (Short-term trend turns bullish).
RSI is above 50 (Momentum confirms strength).
3. Position Sizing & Risk Management:
Sell 375 quantity per trade (Lot size).
50-Point Stop Loss → If option premium moves against us by 50 points, exit.
50-Point Take Profit → If option premium moves in our favor by 50 points, book profit.
Exit all trades at 3:24 PM IST → No overnight positions.
4. Exit Conditions:
✅ Stop Loss or Take Profit Hits → Automatically exits based on a 50-point move.
✅ Time-Based Exit at 3:24 PM → Ensures no open positions at market close.
Why This Works?
✔ Trend Confirmation → 50/80 MA ensures we only sell options in the direction of the market trend.
✔ Momentum Confirmation → RSI prevents entering weak trades.
✔ Controlled Risk → SL and TP protect against large losses.
✔ No Overnight Risk → All trades close before market close.
Supertrend + MACD CrossoverKey Elements of the Template:
Supertrend Settings:
supertrendFactor: Adjustable to control the sensitivity of the Supertrend.
supertrendATRLength: ATR length used for Supertrend calculation.
MACD Settings:
macdFastLength, macdSlowLength, macdSignalSmoothing: These settings allow you to fine-tune the MACD for better results.
Risk Management:
Stop-Loss: The stop-loss is based on the ATR (Average True Range), a volatility-based indicator.
Take-Profit: The take-profit is based on the risk-reward ratio (set to 3x by default).
Both stop-loss and take-profit are dynamic, based on ATR, which adjusts according to market volatility.
Buy and Sell Signals:
Buy Signal: Supertrend is bullish, and MACD line crosses above the Signal line.
Sell Signal: Supertrend is bearish, and MACD line crosses below the Signal line.
Visual Elements:
The Supertrend line is plotted in green (bullish) and red (bearish).
Buy and Sell signals are shown with green and red triangles on the chart.
Next Steps for Optimization:
Backtesting:
Run backtests on BTC in the 5-minute timeframe and adjust parameters (Supertrend factor, MACD settings, risk-reward ratio) to find the optimal configuration for the 60% win ratio.
Fine-Tuning Parameters:
Adjust supertrendFactor and macdFastLength to find more optimal values based on BTC's market behavior.
Tweak the risk-reward ratio to maximize profitability while maintaining a good win ratio.
Evaluate Market Conditions:
The performance of the strategy can vary based on market volatility. It may be helpful to evaluate performance in different market conditions or pair it with a filter like RSI or volume.
Let me know if you'd like further tweaks or explanations!
Reversal & Breakout Strategy with ORB### Reversal & Breakout Strategy with ORB
This strategy combines three distinct trading approaches—reversals, trend breakouts, and opening range breakouts (ORB)—into a single, cohesive system. The goal is to capture high-probability setups across different market conditions, leveraging a mashup of technical indicators for confirmation and risk management. Below, I’ll explain why this combination works, how the components interact, and how to use it effectively.
#### Why the Mashup?
- **Reversals**: Identifies overextended moves using RSI (overbought/oversold) and SMA50 crosses, filtered by VWAP and SMA200 trend direction. This targets mean-reversion opportunities in trending markets.
- **Breakouts**: Uses EMA9/EMA20 crossovers with VWAP and SMA200 confirmation to catch momentum-driven trend continuations.
- **Opening Range Breakout (ORB)**: Detects early momentum by breaking the high/low of a user-defined opening range (default: 15 bars) with volume confirmation. This adds a time-based edge, ideal for intraday trading.
The synergy comes from blending these methods: reversals catch pullbacks, breakouts ride trends, and ORB exploits early volatility—all filtered by trend (SMA200) and anchored by VWAP for context.
#### How It Works
1. **Indicators**:
- **EMA9/EMA20**: Fast-moving averages for breakout signals.
- **SMA50**: Medium-term trend filter for reversals.
- **SMA200**: Long-term trend direction to align trades.
- **RSI (14)**: Measures overbought (>70) or oversold (<30) conditions.
- **VWAP**: Acts as a dynamic support/resistance level.
- **ATR (14)**: Sets stop-loss distance (default: 1.5x ATR).
- **Volume**: Confirms ORB breakouts (1.5x average volume of opening range).
2. **Entry Conditions**:
- **Long**: Triggers on reversal (SMA50 cross + RSI < 30 + below VWAP + uptrend), breakout (EMA9 > EMA20 + above VWAP + uptrend), or ORB (break above opening range high + volume).
- **Short**: Triggers on reversal (SMA50 cross + RSI > 70 + above VWAP + downtrend), breakout (EMA9 < EMA20 + below VWAP + downtrend), or ORB (break below opening range low + volume).
3. **Risk Management**:
- Risks 5% of equity per trade (based on the initial capital set in the strategy tester).
- Stop-loss: Based on lowest low/highest high over 7 bars ± 1.5x ATR.
- Targets: Two exits at 1:1 and 1:2 risk:reward (50% of position at each).
- Break-even: Stop moves to entry price after the first target is hit.
4. **Backtesting Settings**:
- Commission: Hardcoded at 0.1% per trade (realistic for most brokers).
- Slippage: Hardcoded at 2 ticks (realistic for most markets).
- Tested on datasets yielding 100+ trades (e.g., 2-min or 5-min charts over months).
#### How to Use It
- **Timeframe**: Works best on intraday (2-min, 5-min) or daily charts. Adjust `Opening Range Bars` (e.g., 15 bars = 30 min on 2-min chart) for your timeframe.
- **Settings**:
- Set your initial equity in the TradingView strategy tester’s "Properties" tab under "Initial Capital" (e.g., $10,000). The script automatically risks 5% of this equity per trade.
- Adjust `Stop Loss ATR Multiplier` or `Risk:Reward Targets` based on your risk tolerance.
- Note that commission (0.1%) and slippage (2 ticks) are fixed in the script for backtesting consistency.
- **Execution**: Enter on signal, monitor plotted stop (red) and targets (green/blue). The strategy supports pyramiding (up to 2 positions) for scaling into trends.
#### Backtesting Notes
Results are realistic with commission (0.1%) and slippage (2 ticks) included. For a sufficient sample, test on volatile instruments (e.g., stocks, forex) over 3-6 months on lower timeframes. The default 1.5x ATR stop may seem wide, but it’s justified to avoid premature exits in volatile markets—feel free to tweak it with justification. The script assumes an initial capital of $10,000 in the strategy tester for the 5% risk calculation (e.g., $500 risk per trade); adjust this in the "Properties" tab as needed.
This mashup isn’t just a random mix; it’s a deliberate fusion of complementary strategies, offering traders flexibility across market phases. Questions? Let me know!
Trend Hunter Scalping [Daddin Algo]Trend Hunter Scalping Strategy Description
This strategy is a comprehensive scalping system designed to capture high-frequency trading opportunities within short timeframes. It combines multiple technical indicators to assess trend direction, momentum, volatility, and volume dynamics. Importantly, all parameters are user-adjustable, allowing the strategy to be optimized for various market conditions and individual preferences.
Technical Indicators and Settings
EMA (Exponential Moving Average):
The EMA is calculated based on a user-defined period. Rather than being fixed (e.g., a 200-period EMA), the period is adjustable to suit different market conditions. The position of the price relative to the EMA helps confirm the overall trend.
RSI & RSIOver:
The Relative Strength Index (RSI) measures momentum and the speed of price changes. Entry signals are generated when the RSI crosses its moving average. Additionally, overbought and oversold thresholds (set by the user) add an extra layer of confirmation for the signals.
ADX:
The Average Directional Index (ADX) assesses the strength of the current trend. When the ADX is above a user-specified threshold, the signals are considered more reliable. This helps in filtering out signals during weak trending periods.
Bollinger Bands:
Bollinger Bands gauge market volatility. The settings—including the length and the multiplier—are adjustable, providing flexibility to accommodate tightening or expanding volatility conditions.
Parabolic SAR:
This indicator identifies dynamic support and resistance levels, confirming the trend direction and helping pinpoint potential entry and exit points.
Pivot Levels (Fibonacci):
Calculated from the previous period's high, low, and close, pivot points and Fibonacci levels indicate potential reversal points and serve as support and resistance levels. These levels provide context for setting trailing stops and managing risk.
Volume Filter:
A volume condition ensures that trading signals are only considered valid when the current volume exceeds a multiple of its short-term moving average. This filter is adjustable, helping to confirm the strength of the market move.
Daddin Line:
Derived from a short-term moving average of the closing prices with a user-defined offset, the Daddin Line acts as an additional confirmation tool. Its parameters can be customized to better align with specific trading environments.
Trading Logic and Management
Signal Direction and Entry:
The strategy can generate both long (buy) and short (sell) signals, or be limited to one direction based on user preference. Entry orders are executed when all the selected indicator conditions are met. Additionally, maximum consecutive trade limits are implemented to help control risk.
Exit & Take Profit:
Trades are exited automatically when a user-defined profit percentage is reached. This take-profit percentage is flexible, enabling adjustments to match different market conditions or trading goals.
Trailing Stop (Dynamic Stop Loss):
A trailing stop mechanism is implemented using Fibonacci pivot levels. Once a position is open, the stop loss is dynamically updated as the price moves favorably. This ensures that profits are protected while minimizing losses in case of a sudden reversal.
Additional Features and Backtesting
Time Filtering (Backtesting):
The strategy includes a date range filter for backtesting. Users can define the start and end dates to evaluate the strategy’s performance during specific market periods, making it easier to assess its historical effectiveness.
Customizable Parameters:
Every indicator and risk management setting is fully customizable. This adaptability allows traders to tailor the strategy to different assets, timeframes, and market environments, ensuring optimal performance across diverse trading scenarios.
Conclusion
The Trend Hunter Scalping strategy effectively integrates multiple technical indicators to validate trends and manage risks efficiently. Its highly flexible, user-adjustable parameters make it adaptable to varying market conditions, providing traders with a robust framework for capturing quick trading opportunities.This strategy is designed to optimize both entry and exit points while offering comprehensive risk management controls.
Supertrend with 1% Target and 1% StoplossSupertrend Calculation: The Supertrend indicator is calculated using the Average True Range (ATR) and a factor. The factor and ATR length can be adjusted in the inputs.
Long and Short Conditions: The strategy enters a long position when the price crosses above the Supertrend line and a short position when the price crosses below it.
Target and Stop Loss: The strategy places a 1% target and a 1% stop loss for both long and short positions.
Visuals: The stop loss and take profit levels are plotted on the chart for better visibility.
Enhanced Doji Candle StrategyYour trading strategy is a Doji Candlestick Reversal Strategy designed to identify potential market reversals using Doji candlestick patterns. These candles indicate indecision in the market, and when detected, your strategy uses a Simple Moving Average (SMA) with a short period of 20 to confirm the overall market trend. If the price is above the SMA, the trend is considered bullish; if it's below, the trend is bearish.
Once a Doji is detected, the strategy waits for one or two consecutive confirmation candles that align with the market trend. For a bullish confirmation, the candles must close higher than their opening price without significant bottom wicks. Conversely, for a bearish confirmation, the candles must close lower without noticeable top wicks. When these conditions are met, a trade is entered at the market price.
The risk management aspect of your strategy is clearly defined. A stop loss is automatically placed at the nearest recent swing high or low, with a tighter distance of 5 pips to allow for more trading opportunities. A take-profit level is set using a 2:1 reward-to-risk ratio, meaning the potential reward is twice the size of the risk on each trade.
Additionally, the strategy incorporates an early exit mechanism. If a reversal Doji forms in the opposite direction of your trade, the position is closed immediately to minimize losses. This strategy has been optimized to increase trade frequency by loosening the strictness of Doji detection and confirmation conditions while still maintaining sound risk management principles.
The strategy is coded in Pine Script for use on TradingView and uses built-in indicators like the SMA for trend detection. You also have flexible parameters to adjust risk levels, take-profit targets, and stop-loss placements, allowing you to tailor the strategy to different market conditions.
Grim SlashOverview:
The Touch Previous Candle Strategy is a simple yet effective trading approach designed for the 1-hour chart. It focuses on price action by placing trades when the current candle interacts with key levels from the previous candle. The strategy is fully automated and includes risk management with take profit and stop loss levels.
Entry Conditions:
Buy Signal: A buy order is triggered when the low of the current candle touches or drops below the previous candle's closing price.
Sell Signal: A position is closed when the high of the current candle reaches or exceeds the previous candle's highest price.
Risk Management:
Take Profit: The trade is exited automatically when the price increases by 15% from the entry point.
Stop Loss: A stop loss is set at 5% below the entry price to minimize risk.
Best Use Cases:
Works well in volatile markets where price frequently tests previous levels.
Suitable for traders who prefer price-action-based strategies over indicators.
Can be optimized for different assets or timeframes based on market behavior.
Iron Bot Statistical Trend Filter📌 Iron Bot Statistical Trend Filter
📌 Overview
Iron Bot Statistical Trend Filter is an advanced trend filtering strategy that combines statistical methods with technical analysis.
By leveraging Z-score and Fibonacci levels, this strategy quantitatively analyzes market trends to provide high-precision entry signals.
Additionally, it includes an optional EMA filter to enhance trend reliability.
Risk management is reinforced with Stop Loss (SL) and four Take Profit (TP) levels, ensuring a balanced approach to risk and reward.
📌 Key Features
🔹 1. Statistical Trend Filtering with Z-Score
This strategy calculates the Z-score to measure how much the price deviates from its historical mean.
Positive Z-score: Indicates a statistically high price, suggesting a strong uptrend.
Negative Z-score: Indicates a statistically low price, signaling a potential downtrend.
Z-score near zero: Suggests a ranging market with no strong trend.
By using the Z-score as a filter, market noise is reduced, leading to more reliable entry signals.
🔹 2. Fibonacci Levels for Trend Reversal Detection
The strategy integrates Fibonacci retracement levels to identify potential reversal points in the market.
High Trend Level (Fibo 23.6%): When the price surpasses this level, an uptrend is likely.
Low Trend Level (Fibo 78.6%): When the price falls below this level, a downtrend is expected.
Trend Line (Fibo 50%): Acts as a midpoint, helping to assess market balance.
This allows traders to visually confirm trend strength and turning points, improving entry accuracy.
🔹 3. EMA Filter for Trend Confirmation (Optional)
The strategy includes an optional 200 EMA (Exponential Moving Average) filter for trend validation.
Price above 200 EMA: Indicates a bullish trend (long entries preferred).
Price below 200 EMA: Indicates a bearish trend (short entries preferred).
Enabling this filter reduces false signals and improves trend-following accuracy.
🔹 4. Multi-Level Take Profit (TP) and Stop Loss (SL) Management
To ensure effective risk management, the strategy includes four Take Profit levels and a Stop Loss:
Stop Loss (SL): Automatically closes trades when the price moves against the position by a certain percentage.
TP1 (+0.75%): First profit-taking level.
TP2 (+1.1%): A higher probability profit target.
TP3 (+1.5%): Aiming for a stronger trend move.
TP4 (+2.0%): Maximum profit target.
This system secures profits at different stages and optimizes risk-reward balance.
🔹 5. Automated Long & Short Trading Logic
The strategy is built using Pine Script®’s strategy.entry() and strategy.exit(), allowing fully automated trading.
Long Entry:
Price is above the trend line & high trend level.
Z-score is positive (indicating an uptrend).
(Optional) Price is also above the EMA for stronger confirmation.
Short Entry:
Price is below the trend line & low trend level.
Z-score is negative (indicating a downtrend).
(Optional) Price is also below the EMA for stronger confirmation.
This logic helps filter out unnecessary trades and focus only on high-probability entries.
📌 Trading Parameters
This strategy is designed for flexible capital management and risk control.
💰 Account Size: $5000
📉 Commissions and Slippage: Assumes 94 pips commission per trade and 1 pip slippage.
⚖️ Risk per Trade: Adjustable, with a default setting of 1% of equity.
These parameters help preserve capital while optimizing the risk-reward balance.
📌 Visual Aids for Clarity
To enhance usability, the strategy includes clear visual elements for easy market analysis.
✅ Trend Line (Blue): Indicates market midpoint and helps with entry decisions.
✅ Fibonacci Levels (Yellow): Highlights high and low trend levels.
✅ EMA Line (Green, Optional): Confirms long-term trend direction.
✅ Entry Signals (Green for Long, Red for Short): Clearly marked buy and sell signals.
These features allow traders to quickly interpret market conditions, even without advanced technical analysis skills.
📌 Originality & Enhancements
This strategy is developed based on the IronXtreme and BigBeluga indicators,
combining a unique Z-score statistical method with Fibonacci trend analysis.
Compared to conventional trend-following strategies, it leverages statistical techniques
to provide higher-precision entry signals, reducing false trades and improving overall reliability.
📌 Summary
Iron Bot Statistical Trend Filter is a statistically-driven trend strategy that utilizes Z-score and Fibonacci levels.
High-precision trend analysis
Enhanced accuracy with an optional EMA filter
Optimized risk management with multiple TP & SL levels
Visually intuitive chart design
Fully customizable parameters & leverage support
This strategy reduces false signals and helps traders ride the trend with confidence.
Try it out and take your trading to the next level! 🚀
John Bob-Trading-BotDeveloped by Ayebale John Bob with the help of his bestie, this innovative strategy combines advanced Smart Money Concepts with practical risk management tools to help traders identify and capitalize on key market moves.
Key Features:
Smart Money Concepts & Fair Value Gaps (FVG):
The strategy monitors price action for fair value gaps, which are visualized as extremely faint horizontal lines on the chart. These FVGs signal potential areas where institutional traders might have entered or exited positions.
Dynamic Entry Signals:
Buy signals are triggered when the price crosses above the 50-bar lowest low or when a bullish FVG is detected. Conversely, sell signals are generated when the price falls below the 50-bar highest high or a bearish FVG is identified. Each signal is visually marked on the chart with clear buy (green) and sell (red) labels.
Multi-Level Order Execution:
Once an entry signal occurs, the strategy places five separate orders, each with its own take-profit (TP) level. The TP levels are calculated dynamically using the Average True Range (ATR) and a set of predefined multipliers. This allows traders to scale out of positions as the market moves favorably.
Dynamic Risk Management:
A stop-loss is automatically set at a distance determined by the ATR, ensuring that risk is managed in accordance with current market volatility.
Real-Time Trade Information Table:
In the bottom-right corner of the chart, a trade information table displays essential details about the current trade:
Side: Displays "BUY NOW" (with a dark green background) for long entries or "SELL NOW" (with a dark red background) for short entries.
Entry Price & Stop-Loss: Shows the entry price (highlighted in green) and the corresponding stop-loss level (highlighted in red).
Take-Profit Levels: Lists the five TP levels, each of which turns green once the market price reaches that target.
Timer: A live timer in minutes counts from the moment the current trade trigger started, helping traders track the duration of their active trades.
Visual Progress Bar:
A histogram-style progress bar is plotted on the chart, visually representing the percentage gain (or loss) relative to the entry price.
This strategy was meticulously designed to incorporate both technical analysis and smart risk management, offering a robust trading solution that adapts to changing market conditions. Whether you're a seasoned trader or just starting out, the AyebaleJohnBob Trading Bot equips you with the tools and visual cues needed to make well-informed trading decisions. Enjoy a seamless blend of strategy and style—crafted with passion by Ayebale John Bob and his bestie!
Adaptive Fractal Grid Scalping StrategyThis Pine Script v6 component implements an "Adaptive Fractal Grid Scalping Strategy" with an added volatility threshold feature.
Here's how it works:
Fractal Break Detection: Uses ta.pivothigh and ta.pivotlow to identify local highs and lows.
Volatility Clustering: Measures volatility using the Average True Range (ATR).
Adaptive Grid Levels: Dynamically adjusts grid levels based on ATR and user-defined multipliers.
Directional Bias Filter: Uses a Simple Moving Average (SMA) to determine trend direction.
Volatility Threshold: Introduces a new input to specify a minimum ATR value required to activate the strategy.
Trade Execution Logic: Places limit orders at grid levels based on trend direction and fractal levels, but only when ATR exceeds the volatility threshold.
Profit-Taking and Stop-Loss: Implements profit-taking at grid levels and a trailing stop-loss based on ATR.
How to Use
Inputs: Customize the ATR length, SMA length, grid multipliers, trailing stop multiplier, and volatility threshold through the input settings.
Visuals: The script plots fractal points and grid levels on the chart for easy visualization.
Trade Signals: The strategy automatically places buy/sell orders based on the detected fractals, trend direction, and volatility threshold.
Profit and Risk Management: The script includes logic for taking profits and setting stop-loss levels to manage trades effectively.
This strategy is designed to capitalize on micro-movements during high volatility and avoid overtrading during low-volatility trends. Adjust the input parameters to suit your trading style and market conditions.
