Dskyz (DAFE) MAtrix with ATR-Powered Precision Dskyz (DAFE) MAtrix with ATR-Powered Precision
This cutting‐edge futures trading strategy built to thrive in rapidly changing market conditions. Developed for high-frequency futures trading on instruments such as the CME Mini MNQ, this strategy leverages a matrix of sophisticated moving averages combined with ATR-based filters to pinpoint high-probability entries and exits. Its unique combination of adaptable technical indicators and multi-timeframe trend filtering sets it apart from standard strategies, providing enhanced precision and dynamic responsiveness.
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Core Functional Components
1. Advanced Moving Averages
A distinguishing feature of the DAFE strategy is its robust, multi-choice moving averages (MAs). Clients can choose from a wide array of MAs—each with specific strengths—in order to fine-tune their trading signals. The code includes user-defined functions for the following MAs:
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Hull Moving Average (HMA):
The hma(src, len) function calculates the HMA by using weighted moving averages (WMAs) to reduce lag considerably while smoothing price data. This function computes an intermediate WMA of half the specified length, then a full-length WMA, and finally applies a further WMA over the square root of the length. This design allows for rapid adaptation to price changes without the typical delays of traditional moving averages.
Triple Exponential Moving Average (TEMA):
Implemented via tema(src, len), TEMA uses three consecutive exponential moving averages (EMAs) to effectively cancel out lag and capture price momentum. The final formula—3 * (ema1 - ema2) + ema3—produces a highly responsive indicator that filters out short-term noise.
Double Exponential Moving Average (DEMA):
Through the dema(src, len) function, DEMA calculates an EMA and then a second EMA on top of it. Its simplified formula of 2 * ema1 - ema2 provides a smoother curve than a single EMA while maintaining enhanced responsiveness.
Volume Weighted Moving Average (VWMA):
With vwma(src, len), this MA accounts for trading volume by weighting the price, thereby offering a more contextual picture of market activity. This is crucial when volume spikes indicate significant moves.
Zero Lag EMA (ZLEMA):
The zlema(src, len) function applies a correction to reduce the inherent lag found in EMAs. By subtracting a calculated lag (based on half the moving average window), ZLEMA is exceptionally attuned to recent price movements.
Arnaud Legoux Moving Average (ALMA):
The alma(src, len, offset, sigma) function introduces ALMA—a type of moving average designed to be less affected by outliers. With parameters for offset and sigma, it allows customization of the degree to which the MA reacts to market noise.
Kaufman Adaptive Moving Average (KAMA):
The custom kama(src, len) function is noteworthy for its adaptive nature. It computes an efficiency ratio by comparing price change against volatility, then dynamically adjusts its smoothing constant. This results in an MA that quickly responds during trending periods while remaining smoothed during consolidation.
Each of these functions—integrated into the strategy—is selectable by the trader (via the fastMAType and slowMAType inputs). This flexibility permits the tailored application of the MA most suited to current market dynamics and individual risk management preferences.
2. ATR-Based Filters and Risk Controls
ATR Calculation and Volatility Filter:
The strategy computes the Average True Range (ATR) over a user-defined period (atrPeriod). ATR is then used to derive both:
Volatility Assessment: Expressed as a ratio of ATR to closing price, ensuring that trades are taken only when volatility remains within a safe, predefined threshold (volatilityThreshold).
ATR-Based Entry Filters: Implemented as atrFilterLong and atrFilterShort, these conditions ensure that for long entries the price is sufficiently above the slow MA and vice versa for shorts. This acts as an additional confirmation filter.
Dynamic Exit Management:
The exit logic employs a dual approach:
Fixed Stop and Profit Target: Stops and targets are set at multiples of ATR (fixedStopMultiplier and profitTargetATRMult), helping manage risk in volatile markets.
Trailing Stop Adjustments: A trailing stop is calculated using the ATR multiplied by a user-defined offset (trailOffset), which captures additional profits as the trade moves favorably while protecting against reversals.
3. Multi-Timeframe Trend Filtering
The strategy enhances its signal reliability by leveraging a secondary, higher timeframe analysis:
15-Minute Trend Analysis:
By retrieving 15-minute moving averages (fastMA15m and slowMA15m) via request.security, the strategy determines the broader market trend. This secondary filter (enabled or disabled through useTrendFilter) ensures that entries are aligned with the prevailing market direction, thereby reducing the incidence of false signals.
4. Signal and Execution Logic
Combined MA Alignment:
The entry conditions are based primarily on the alignment of the fast and slow MAs. A long condition is triggered when the current price is above both MAs and the fast MA is above the slow MA—complemented by the ATR filter and volume conditions. The reverse applies for a short condition.
Volume and Time Window Validation:
Trades are permitted only if the current volume exceeds a minimum (minVolume) and the current hour falls within the predefined trading window (tradingStartHour to tradingEndHour). An additional volume spike check (comparing current volume to a moving average of past volumes) further filters for optimal market conditions.
Comprehensive Order Execution:
The strategy utilizes flexible order execution functions that allow pyramiding (up to 10 positions), ensuring that it can scale into positions as favorable conditions persist. The use of both market entries and automated exits (with profit targets, stop-losses, and trailing stops) ensures that risk is managed at every step.
5. Integrated Dashboard and Metrics
For transparency and real-time analysis, the strategy includes:
On-Chart Visualizations:
Both fast and slow MAs are plotted on the chart, making it easy to see the market’s technical foundation.
Dynamic Metrics Dashboard:
A built-in table displays crucial performance statistics—including current profit/loss, equity, ATR (both raw and as a percentage), and the percentage gap between the moving averages. These metrics offer immediate insight into the health and performance of the strategy.
Input Parameters: Detailed Breakdown
Every input is meticulously designed to offer granular control:
Fast & Slow Lengths:
Determine the window size for the fast and slow moving averages. Smaller values yield more sensitivity, while larger values provide a smoother, delayed response.
Fast/Slow MA Types:
Choose the type of moving average for fast and slow signals. The versatility—from basic SMA and EMA to more complex ones like HMA, TEMA, ZLEMA, ALMA, and KAMA—allows customization to fit different market scenarios.
ATR Parameters:
atrPeriod and atrMultiplier shape the volatility assessment, directly affecting entry filters and risk management through stop-loss and profit target levels.
Trend and Volume Filters:
Inputs such as useTrendFilter, minVolume, and the volume spike condition help confirm that a trade occurs in active, trending markets rather than during periods of low liquidity or market noise.
Trading Hours:
Restricting trade execution to specific hours (tradingStartHour and tradingEndHour) helps avoid illiquid or choppy markets outside of prime trading sessions.
Exit Strategies:
Parameters like trailOffset, profitTargetATRMult, and fixedStopMultiplier provide multiple layers of risk management and profit protection by tailoring how exits are generated relative to current market conditions.
Pyramiding and Fixed Trade Quantity:
The strategy supports multiple entries within a trend (up to 10 positions) and sets a predefined trade quantity (fixedQuantity) to maintain consistent exposure and risk per trade.
Dashboard Controls:
The resetDashboard input allows for on-the-fly resetting of performance metrics, keeping the strategy’s performance dashboard accurate and up-to-date.
Why This Strategy is Truly Exceptional
Multi-Faceted Adaptability:
The ability to switch seamlessly between various moving average types—each suited to particular market conditions—enables the strategy to adapt dynamically. This is a testament to the high level of coding sophistication and market insight infused within the system.
Robust Risk Management:
The integration of ATR-based stops, profit targets, and trailing stops ensures that every trade is executed with well-defined risk parameters. The system is designed to mitigate unexpected market swings while optimizing profit capture.
Comprehensive Market Filtering:
By combining moving average crossovers with volume analysis, volatility thresholds, and multi-timeframe trend filters, the strategy only enters trades under the most favorable conditions. This multi-layered filtering reduces noise and enhances signal quality.
-Final Thoughts-
The Dskyz Adaptive Futures Elite (DAFE) MAtrix with ATR-Powered Precision strategy is not just another trading algorithm—it is a multi-dimensional, fully customizable system built on advanced technical principles and sophisticated risk management techniques. Every function and input parameter has been carefully engineered to provide traders with a system that is both powerful and transparent.
For clients seeking a state-of-the-art trading solution that adapts dynamically to market conditions while maintaining strict discipline in risk management, this strategy truly stands in a class of its own.
****Please show support if you enjoyed this strategy. I'll have more coming out in the near future!!
-Dskyz
Caution
DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
Pesquisar nos scripts por "Trailing stop"
Deadzone Pro @DaviddTechDeadzone Pro by @DaviddTech – Adaptive Multi-Strategy NNFX Trading System
Deadzone Pro by @DaviddTech is a meticulously engineered trading indicator that strictly adheres to the No-Nonsense Forex (NNFX) methodology. It integrates adaptive trend detection, dual confirmation indicators, advanced volatility filtering, and dynamic risk management into one powerful, visually intuitive system. Ideal for traders seeking precision and clarity, this indicator consistently delivers high-probability trade setups across all market conditions.
🔥 Key Features:
The Setup:
Adaptive Hull Moving Average Baseline: Clearly identifies trend direction using an advanced, gradient-colored Hull MA that intensifies based on trend strength, providing immediate visual clarity.
Dual Confirmation Indicators: Combines Waddah Attar Explosion (momentum detector) and Bull/Bear Power (strength gauge) for robust validation, significantly reducing false entries.
Volatility Filter (ADX): Ensures entries are only made during strong trending markets, filtering out weak, range-bound scenarios for enhanced trade accuracy.
Dynamic Trailing Stop Loss: Implements a SuperTrend-based trailing stop using adaptive ATR calculations, managing risk effectively while optimizing exits.
Dashboard:
💎 Gradient Visualization & User Interface:
Dynamic gradient colors enhance readability, clearly indicating bullish/bearish strength.
Comprehensive dashboard summarizes component statuses, real-time market sentiment, and entry conditions at a glance.
Distinct and clear buy/sell entry and exit signals, with adaptive stop-loss levels visually plotted.
Candlestick coloring based on momentum signals (Waddah Attar) for intuitive market reading.
📈 How to Interpret Signals:
Bullish Signal: Enter when Hull MA baseline trends upward, both confirmation indicators align bullish, ADX indicates strong trend (>25), and price breaks above the previous trailing stop.
Bearish Signal: Enter short or exit long when Hull MA baseline trends downward, confirmations indicate bearish momentum, ADX confirms trend strength, and price breaks below previous trailing stop.
📊 Recommended Usage:
Timeframes: Ideal on 1H, 4H, and Daily charts for swing trading; effective on shorter (5M, 15M) charts for day trading.
Markets: Compatible with Forex, Crypto, Indices, Stocks, and Commodities.
The Entry & Exit:
🎯 Trading Styles:
Choose from three distinct trading modes:
Conservative: Requires full alignment of all indicators for maximum accuracy.
Balanced (Default): Optimized balance between signal frequency and reliability.
Aggressive: Fewer confirmations needed for more frequent trading signals.
📝 Credits & Originality:
Deadzone Pro incorporates advanced concepts inspired by:
Hull Moving Average by @Julien_Eche
Waddah Attar Explosion by @LazyBear
Bull Bear Power by @Pinecoders
ADX methodology by @BeikabuOyaji
This system has been significantly refactored and enhanced by @DaviddTech to maximize synergy, clarity, and usability, standing apart distinctly from its original components.
Deadzone Pro exemplifies precision and discipline, aligning fully with NNFX principles to provide traders with a comprehensive yet intuitive trading advantage.
Falcon SignalsThis script is a TradingView Pine Script for a trading strategy called "Falcon Signals." It combines multiple technical indicators and strategies to generate buy and sell signals. Here’s a breakdown of what the script does:
1. Supertrend Indicator:
The script calculates the Supertrend indicator using the Average True Range (ATR) and a specified multiplier (factor). The Supertrend is used to define the trend direction, with a green line for an uptrend and a red line for a downtrend.
2. EMA (Exponential Moving Average):
Two EMAs are used: a fast EMA (9-period) and a slow EMA (21-period). The script checks for crossovers of the fast EMA above or below the slow EMA as a basis for buying and selling signals.
3. RSI (Relative Strength Index):
The RSI (14-period) is used to measure the momentum of the price. A buy signal is generated when the RSI is less than 70, while a sell signal is generated when it’s greater than 30.
4. Take Profit (TP) and Stop Loss (SL):
The script allows users to set custom percentages for take profit and stop loss. The take profit is set at a certain percentage above the entry price for buy signals, and the stop loss is set at a percentage below the entry price, and vice versa for sell signals.
5. Trailing Stop:
A trailing stop can be enabled, which dynamically adjusts the stop loss level as the price moves in the favorable direction. If the price moves against the position by a certain trailing percentage, the position will be closed.
6. Engulfing Patterns:
The script checks for bullish and bearish engulfing candlestick patterns, indicating potential reversals. A bullish engulfing pattern is marked with a teal label ("🔄 Reversal Up"), and a bearish engulfing pattern is marked with a fuchsia label ("🔄 Reversal Down").
7. Plotting:
The script plots various indicators and signals:
Entry line: Shows where the buy or sell signal is triggered.
Take profit and stop loss levels are plotted as lines.
EMA and Supertrend lines are plotted on the chart.
Trailing stop line, if enabled, is also plotted.
8. Buy and Sell Labels:
The script places labels on the chart when buy or sell signals are triggered, indicating the price at which the order should be placed.
9. Exit Line:
The script plots an exit line when the trailing stop is hit, signaling when a position should be closed.
10. Alerts:
Alerts are set for both buy and sell signals, notifying the trader when to act based on the strategy's conditions.
This strategy combines trend-following (Supertrend), momentum (RSI), and price action patterns (EMA crossovers and engulfing candlestick patterns) to generate trade signals. It also offers the flexibility of take profit, stop loss, and trailing stop features.
Momentum Volume Divergence (MVD) EnhancedMomentum Volume Divergence (MVD) Enhanced is a powerful indicator that detects price-momentum divergences and momentum suppression for reversal trading. Optimized for XRP on 1D charts, it features dynamic lookbacks, ATR-adjusted thresholds, and SMA confirmation. Signals include strong divergences (triangles) and suppression warnings (crosses). Includes a detailed user guide—try it out and share your feedback!
Setup: Add to XRP 1D chart with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA crossovers. See full guide for details!
Disclaimer: This indicator is for educational purposes only, not financial advice. Trading involves risk—use at your discretion.
Momentum Volume Divergence (MVD) Enhanced Indicator User Guide
Version: Pine Script v6
Designed for: TradingView
Recommended Use: XRP on 1-day (1D) chart
Date: March 18, 2025
Author: Herschel with assistance from Grok 3 (xAI)
Overview
The Momentum Volume Divergence (MVD) Enhanced indicator is a powerful tool for identifying price-momentum divergences and momentum suppression patterns on XRP’s 1-day (1D) chart. Plotted below the price chart, it provides clear visual signals to help traders spot potential reversals and trend shifts.
Purpose
Detect divergences between price and momentum for buy/sell opportunities.
Highlight momentum suppression as warnings of fading trends.
Offer actionable trading signals with intuitive markers.
Indicator Components
Main Plot
Volume-Weighted Momentum (vw_mom): Blue line showing momentum adjusted by volume.
Above 0 = bullish momentum.
Below 0 = bearish momentum.
Zero Line: Gray dashed line at 0, separating bullish/bearish zones.
Key Signals
Strong Bearish Divergence:
Marker: Red triangle at the top.
Meaning: Price makes a higher high, but momentum weakens, confirmed by a drop below the 5-day SMA.
Action: Potential sell/short signal.
Strong Bullish Divergence:
Marker: Green triangle at the bottom.
Meaning: Price makes a lower low, but momentum strengthens, confirmed by a rise above the 5-day SMA.
Action: Potential buy/long signal.
Bearish Suppression:
Marker: Orange cross at the top + red background.
Meaning: Strong bullish momentum with low volume in a volume downtrend, suggesting fading strength.
Action: Warning to avoid longs or exit early.
Bullish Suppression:
Marker: Yellow cross at the bottom + green background.
Meaning: Strong bearish momentum with low volume in a volume uptrend, suggesting fading weakness.
Action: Warning to avoid shorts or exit early.
Debug Plots (Optional)
Volume Ratio: Gray line (volume vs. its MA) vs. yellow line (threshold).
Momentum Threshold: Purple lines (positive/negative momentum cutoffs).
Smoothed Momentum: Orange line (raw momentum).
Confirmation SMA: Purple line (price trend confirmation).
Labels
Text labels (e.g., "Bear Div," "Bull Supp") mark detected patterns.
How to Use the Indicator
Step-by-Step Trading Process
1. Monitor the Chart
Load your XRP 1D chart with the indicator applied.
Observe the blue vw_mom line and signal markers.
2. Spot a Signal
Primary Signals: Look for red triangles (strong_bear) or green triangles (strong_bull).
Warnings: Note orange crosses (suppression_bear) or yellow crosses (suppression_bull).
3. Confirm the Signal
For Strong Bullish Divergence (Buy):
Green triangle appears.
Price closes above the 5-day SMA (purple line) and a recent swing high.
Optional: Volume ratio (gray line) exceeds the threshold (yellow line).
For Strong Bearish Divergence (Sell):
Red triangle appears.
Price closes below the 5-day SMA and a recent swing low.
Optional: Volume ratio (gray line) falls below the threshold (yellow line).
4. Enter the Trade
Long:
Buy at the close of the signal bar.
Stop loss: Below the recent swing low or 2 × ATR(14) below entry.
Short:
Sell/short at the close of the signal bar.
Stop loss: Above the recent swing high or 2 × ATR(14) above entry.
5. Manage the Trade
Take Profit:
Aim for a 2:1 or 3:1 risk-reward ratio (e.g., risk $0.05, target $0.10-$0.15).
Or exit when an opposite suppression signal appears (e.g., orange cross for longs).
Trailing Stop:
Move stop to breakeven after a 1:1 RR move.
Trail using the 5-day SMA or 2 × ATR(14).
Early Exit:
Exit if a suppression signal appears against your position (e.g., suppression_bull while short).
6. Filter Out Noise
Avoid trades if a suppression signal precedes a divergence within 2-3 days.
Optional: Add a 50-day SMA on the price chart:
Longs only if price > 50-SMA.
Shorts only if price < 50-SMA.
Example Trades (XRP 1D)
Bullish Trade
Signal: Green triangle (strong_bull) at $0.55.
Confirmation: Price closes above 5-SMA and $0.57 high.
Entry: Buy at $0.58.
Stop Loss: $0.53 (recent low).
Take Profit: $0.63 (2:1 RR) or exit on suppression_bear.
Outcome: Price hits $0.64, exit at $0.63 for profit.
Bearish Trade
Signal: Red triangle (strong_bear) at $0.70.
Confirmation: Price closes below 5-SMA and $0.68 low.
Entry: Short at $0.67.
Stop Loss: $0.71 (recent high).
Take Profit: $0.62 (2:1 RR) or exit on suppression_bull.
Outcome: Price drops to $0.61, exit at $0.62 for profit.
Tips for Success
Combine with Price Levels:
Use support/resistance zones (e.g., weekly pivots) to confirm entries.
Monitor Volume:
Rising volume (gray line above yellow) strengthens signals.
Adjust Sensitivity:
Too many signals? Increase div_strength_threshold to 0.7.
Too few signals? Decrease to 0.3.
Backtest:
Review 20-30 past signals on XRP 1D to assess performance.
Avoid Choppy Markets:
Skip signals during low volatility (tight price ranges).
Troubleshooting
No Signals:
Lower div_strength_threshold to 0.3 or mom_threshold_base to 0.2.
Check if XRP’s volatility is unusually low.
False Signals:
Increase sma_confirm_length to 7 or add a 50-SMA filter.
Indicator Not Loading:
Ensure the script compiles without errors.
Customization (Optional)
Change Colors: Edit color.* values (e.g., color.red to color.purple).
Add Alerts: Use TradingView’s alert menu for "Strong Bearish Divergence Confirmed," etc.
Test Other Assets: Experiment with BTC or ETH, adjusting inputs as needed.
Disclaimer
This indicator is for educational purposes only and not financial advice. Trading involves risk, and past performance does not guarantee future results. Use at your own discretion.
Setup: Use on XRP 1D with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA cross. Stop: 2x ATR(14). Profit: 2:1 RR or suppression exit. Full guide available separately!
Advanced Adaptive Grid Trading StrategyThis strategy employs an advanced grid trading approach that dynamically adapts to market conditions, including trend, volatility, and risk management considerations. The strategy aims to capitalize on price fluctuations in both rising (long) and falling (short) markets, as well as during sideways movements. It combines multiple indicators to determine the trend and automatically adjusts grid parameters for more efficient trading.
How it Works:
Trend Analysis:
Short, long, and super long Moving Averages (MA) to determine the trend direction.
RSI (Relative Strength Index) to identify overbought and oversold levels, and to confirm the trend.
MACD (Moving Average Convergence Divergence) to confirm momentum and trend direction.
Momentum indicator.
The strategy uses a weighted scoring system to assess trend strength (strong bullish, moderate bullish, strong bearish, moderate bearish, sideways).
Grid System:
The grid size (the distance between buy and sell levels) changes dynamically based on market volatility, using the ATR (Average True Range) indicator.
Grid density also adapts to the trend: in a strong trend, the grid is denser in the direction of the trend.
Grid levels are shifted depending on the trend direction (upwards in a bear market, downwards in a bull market).
Trading Logic:
The strategy opens long positions if the trend is bullish and the price reaches one of the lower grid levels.
It opens short positions if the trend is bearish and the price reaches one of the upper grid levels.
In a sideways market, it can open positions in both directions.
Risk Management:
Stop Loss for every position.
Take Profit for every position.
Trailing Stop Loss to protect profits.
Maximum daily loss limit.
Maximum number of positions limit.
Time-based exit (if the position is open for too long).
Risk-based position sizing (optional).
Input Options:
The strategy offers numerous settings that allow users to customize its operation:
Timeframe: The chart's timeframe (e.g., 1 minute, 5 minutes, 1 hour, 4 hours, 1 day, 1 week).
Base Grid Size (%): The base size of the grid, expressed as a percentage.
Max Positions: The maximum number of open positions allowed.
Use Volatility Grid: If enabled, the grid size changes dynamically based on the ATR indicator.
ATR Length: The period of the ATR indicator.
ATR Multiplier: The multiplier for the ATR to fine-tune the grid size.
RSI Length: The period of the RSI indicator.
RSI Overbought: The overbought level for the RSI.
RSI Oversold: The oversold level for the RSI.
Short MA Length: The period of the short moving average.
Long MA Length: The period of the long moving average.
Super Long MA Length: The period of the super long moving average.
MACD Fast Length: The fast period of the MACD.
MACD Slow Length: The slow period of the MACD.
MACD Signal Length: The period of the MACD signal line.
Stop Loss (%): The stop loss level, expressed as a percentage.
Take Profit (%): The take profit level, expressed as a percentage.
Use Trailing Stop: If enabled, the strategy uses a trailing stop loss.
Trailing Stop (%): The trailing stop loss level, expressed as a percentage.
Max Loss Per Day (%): The maximum daily loss, expressed as a percentage.
Time Based Exit: If enabled, the strategy exits the position after a certain amount of time.
Max Holding Period (hours): The maximum holding time in hours.
Use Risk Based Position: If enabled, the strategy calculates position size based on risk.
Risk Per Trade (%): The risk per trade, expressed as a percentage.
Max Leverage: The maximum leverage.
Important Notes:
This strategy does not guarantee profits. Cryptocurrency markets are volatile, and trading involves risk.
The strategy's effectiveness depends on market conditions and settings.
It is recommended to thoroughly backtest the strategy under various market conditions before using it live.
Past performance is not indicative of future results.
*Auto Backtest & Optimize EngineFull-featured Engine for Automatic Backtesting and parameter optimization. Allows you to test millions of different combinations of stop-loss and take profit parameters, including on any connected indicators.
⭕️ Key Futures
Quickly identify the optimal parameters for your strategy.
Automatically generate and test thousands of parameter combinations.
A simple Genetic Algorithm for result selection.
Saves time on manual testing of multiple parameters.
Detailed analysis, sorting, filtering and statistics of results.
Detailed control panel with many tooltips.
Display of key metrics: Profit, Win Rate, etc..
Comprehensive Strategy Score calculation.
In-depth analysis of the performance of different types of stop-losses.
Possibility to use to calculate the best Stop-Take parameters for your position.
Ability to test your own functions and signals.
Customizable visualization of results.
Flexible Stop-Loss Settings:
• Auto ━ Allows you to test all types of Stop Losses at once(listed below).
• S.VOLATY ━ Static stop based on volatility (Fixed, ATR, STDEV).
• Trailing ━ Classic trailing stop following the price.
• Fast Trail ━ Accelerated trailing stop that reacts faster to price movements.
• Volatility ━ Dynamic stop based on volatility indicators.
• Chandelier ━ Stop based on price extremes.
• Activator ━ Dynamic stop based on SAR.
• MA ━ Stop based on moving averages (9 different types).
• SAR ━ Parabolic SAR (Stop and Reverse).
Advanced Take-Profit Options:
• R:R: Risk/Reward ━ sets TP based on SL size.
• T.VOLATY ━ Calculation based on volatility indicators (Fixed, ATR, STDEV).
Testing Modes:
• Stops ━ Cyclical stop-loss testing
• Pivot Point Example ━ Example of using pivot points
• External Example ━ Built-in example how test functions with different parameters
• External Signal ━ Using external signals
⭕️ Usage
━ First Steps:
When opening, select any point on the chart. It will not affect anything until you turn on Manual Start mode (more on this below).
The chart will immediately show the best results of the default Auto mode. You can switch Part's to try to find even better results in the table.
Now you can display any result from the table on the chart by entering its ID in the settings.
Repeat steps 3-4 until you determine which type of Stop Loss you like best. Then set it in the settings instead of Auto mode.
* Example: I flipped through 14 parts before I liked the first result and entered its ID so I could visually evaluate it on the chart.
Then select the stop loss type, choose it in place of Auto mode and repeat steps 3-4 or immediately follow the recommendations of the algorithm.
Now the Genetic Algorithm at the bottom right will prompt you to enter the Parameters you need to search for and select even better results.
Parameters must be entered All at once before they are updated. Enter recommendations strictly in fields with the same names.
Repeat steps 5-6 until there are approximately 10 Part's left or as you like. And after that, easily pour through the remaining Parts and select the best parameters.
━ Example of the finished result.
━ Example of use with Takes
You can also test at the same time along with Take Profit. In this example, I simply enabled Risk/Reward mode and immediately specified in the TP field Maximum RR, Minimum RR and Step. So in this example I can test (3-1) / 0.1 = 20 Takes of different sizes. There are additional tips in the settings.
━
* Soon you will start to understand how the system works and things will become much easier.
* If something doesn't work, just reset the engine settings and start over again.
* Use the tips I have left in the settings and on the Panel.
━ Details:
Sort ━ Sorting results by Score, Profit, Trades, etc..
Filter ━ Filtring results by Score, Profit, Trades, etc..
Trade Type ━ Ability to disable Long\Short but only from statistics.
BackWin ━ Backtest Window Number of Candle the script can test.
Manual Start ━ Enabling it will allow you to call a Stop from a selected point. which you selected when you started the engine.
* If you have a real open position then this mode can help to save good Stop\Take for it.
1 - 9 Сheckboxs ━ Allow you to disable any stop from Auto mode.
Ex Source - Allow you to test Stops/Takes from connected indicators.
Connection guide:
//@version=6
indicator("My script")
rsi = ta.rsi(close, 14)
buy = not na(rsi) and ta.crossover (rsi, 40) // OS = 40
sell = not na(rsi) and ta.crossunder(rsi, 60) // OB = 60
Signal = buy ? +1 : sell ? -1 : 0
plot(Signal, "🔌Connector🔌", display = display.none)
* Format the signal for your indicator in a similar style and then select it in Ex Source.
⭕️ How it Works
Hypothesis of Uniform Distribution of Rare Elements After Mixing.
'This hypothesis states that if an array of N elements contains K valid elements, then after mixing, these valid elements will be approximately uniformly distributed.'
'This means that in a random sample of k elements, the proportion of valid elements should closely match their proportion in the original array, with some random variation.'
'According to the central limit theorem, repeated sampling will result in an average count of valid elements following a normal distribution.'
'This supports the assumption that the valid elements are evenly spread across the array.'
'To test this hypothesis, we can conduct an experiment:'
'Create an array of 1,000,000 elements.'
'Select 1,000 random elements (1%) for validation.'
'Shuffle the array and divide it into groups of 1,000 elements.'
'If the hypothesis holds, each group should contain, on average, 1~ valid element, with minor variations.'
* I'd like to attach more details to My hypothesis but it won't be very relevant here. Since this is a whole separate topic, I will leave the minimum part for understanding the engine.
Practical Application
To apply this hypothesis, I needed a way to generate and thoroughly mix numerous possible combinations. Within Pine, generating over 100,000 combinations presents significant challenges, and storing millions of combinations requires excessive resources.
I developed an efficient mechanism that generates combinations in random order to address these limitations. While conventional methods often produce duplicates or require generating a complete list first, my approach guarantees that the first 10% of possible combinations are both unique and well-distributed. Based on my hypothesis, this sampling is sufficient to determine optimal testing parameters.
Most generators and randomizers fail to accommodate both my hypothesis and Pine's constraints. My solution utilizes a simple Linear Congruential Generator (LCG) for pseudo-randomization, enhanced with prime numbers to increase entropy during generation. I pre-generate the entire parameter range and then apply systematic mixing. This approach, combined with a hybrid combinatorial array-filling technique with linear distribution, delivers excellent generation quality.
My engine can efficiently generate and verify 300 unique combinations per batch. Based on the above, to determine optimal values, only 10-20 Parts need to be manually scrolled through to find the appropriate value or range, eliminating the need for exhaustive testing of millions of parameter combinations.
For the Score statistic I applied all the same, generated a range of Weights, distributed them randomly for each type of statistic to avoid manual distribution.
Score ━ based on Trade, Profit, WinRate, Profit Factor, Drawdown, Sharpe & Sortino & Omega & Calmar Ratio.
⭕️ Notes
For attentive users, a little tricks :)
To save time, switch parts every 3 seconds without waiting for it to load. After 10-20 parts, stop and wait for loading. If the pause is correct, you can switch between the rest of the parts without loading, as they will be cached. This used to work without having to wait for a pause, but now it does slower. This will save a lot of time if you are going to do a deeper backtest.
Sometimes you'll get the error “The scripts take too long to execute.”
For a quick fix you just need to switch the TF or Ticker back and forth and most likely everything will load.
The error appears because of problems on the side of the site because the engine is very heavy. It can also appear if you set too long a period for testing in BackWin or use a heavy indicator for testing.
Manual Start - Allow you to Start you Result from any point. Which in turn can help you choose a good stop-stick for your real position.
* It took me half a year from idea to current realization. This seems to be one of the few ways to build something automatic in backtest format and in this particular Pine environment. There are already better projects in other languages, and they are created much easier and faster because there are no limitations except for personal PC. If you see solutions to improve this system I would be glad if you share the code. At the moment I am tired and will continue him not soon.
Also You can use my previosly big Backtest project with more manual settings(updated soon)
UT Bot Alerts – Time Filtered with ExitsThis indicator combines several technical approaches to generate precise entry and exit signals, while incorporating time filters that ensure signals are sent only during desired time windows and with defined cooldown periods. It is based on the original idea by QuantNomad.
Main Components:
ATR-based Trailing Stop:
Using the Average True Range (ATR) and an adjustable multiplier ("Key Value"), a dynamic trailing stop is calculated that adapts to the current price. This trailing stop forms the basis for the signal generation.
EMA-based Entry Signals:
A very short exponential moving average (EMA, period 1) is used in combination with the trailing stop to identify clear buy (long) and sell (short) signals via crossovers. An additional buffer zone helps reduce false signals.
Persistent Trade State:
The current state (long, short, or neutral) is maintained so that the system remains in the trend until a new signal is generated.
Linear Regression as Reference:
A linear regression line computed over a defined period serves as a reference for determining exit levels.
Exit Signals with Delay:
Exit signals are generated when the price deviates from the linear regression line by a defined percentage (Exit Signal Deviation) and the condition persists for at least a specified number of bars (Exit Signal Delay). Only one exit signal is issued per trade to avoid excessive exits.
Time Filters and Cooldown:
Session Filter: A user-defined session (e.g., "2200-0500") can disable signals during specified periods.
Cooldown Period: After a signal is triggered, a cooldown phase (in minutes) can be set during which no new signals are sent.
Visual Display and Alerts:
Entry Signals: Buy and sell signals are displayed as labels (green for long, red for short).
Exit Signals: Exit signals appear as triangles, with the exit long signal text displayed in white.
Reference Lines:
The upper exit level (Exit Short Level) is drawn as a solid line in turquoise (color.aqua).
The lower exit level (Exit Long Level) is drawn as a solid line in yellow.
Additionally, the ATR trailing stop and the linear regression line are clearly plotted on the chart.
Alerts can be configured for all signal types.
In Summary:
The indicator delivers precise entry signals based on an ATR trailing stop and a short EMA, supplemented by dynamic exit levels determined via linear regression. With integrated time filters (session and cooldown) and a flexible exit mechanism, this indicator offers controlled trade management—ideal for traders who wish to receive signals only during desired time periods.
Original Author: QuantNomad
Blackflag FTS (1H Trailing) + MSB-OB FibThis indicator combines a 1-hour trailing stop system with multi-timeframe Fibonacci retracement levels and ZigZag structure detection to assist traders in identifying trend direction and potential reversal zones.
Features:
✅ 1-Hour Trailing Stop: Uses an ATR-based trailing stop mechanism to track trend direction and dynamic support/resistance.
✅ Multi-Timeframe Approach: The trailing stop is calculated on the 1-hour timeframe, while the ZigZag and Fibonacci retracement levels are based on the 15-minute chart.
✅ ZigZag Structure Detection: Helps filter market swings and trend reversals dynamically.
✅ Fibonacci Levels (0.5 & 0.786): Key retracement levels to watch for price reactions.
✅ Alerts for Key Levels: Get notified when the price crosses important levels (1H trailing stop, Fib 0.5, Fib 0.786).
How It Works:
The trailing stop adapts dynamically based on ATR values and determines trend direction.
ZigZag detection filters out minor price movements to highlight major swing points.
Fibonacci levels are calculated based on ZigZag swings, helping traders spot potential reversal zones.
This tool is useful for trend-following traders, breakout traders, and Fibonacci-based strategies.
Let me know if you'd like any modifications! 🚀
Quantitative Breakout Bands (AIBitcoinTrend)Quantitative Breakout Bands (AIBitcoinTrend) is an advanced indicator designed to adapt to dynamic market conditions by utilizing a Kalman filter for real-time data analysis and trend detection. This innovative tool empowers traders to identify price breakouts, evaluate trends, and refine their trading strategies with precision.
👽 What Are Quantitative Breakout Bands, and Why Are They Unique?
Quantitative Breakout Bands combine advanced filtering techniques (Kalman Filters) with statistical measures such as mean absolute error (MAE) to create adaptive price bands. These bands adjust to market conditions dynamically, providing insights into volatility, trend strength, and breakout opportunities.
What sets this indicator apart is its ability to incorporate both position (price) and velocity (rate of price change) into its calculations, making it highly responsive yet smooth. This dual consideration ensures traders get reliable signals without excessive lag or noise.
👽 The Math Behind the Indicator
👾 Kalman Filter Estimation:
At the core of the indicator is the Kalman Filter, a recursive algorithm used to predict the next state of a system based on past observations. It incorporates two primary elements:
State Prediction: The indicator predicts future price (position) and velocity based on previous values.
Error Covariance Adjustment: The process and measurement noise parameters refine the prediction's accuracy by balancing smoothness and responsiveness.
👾 Breakout Bands Calculation:
The breakout bands are derived from the mean absolute error (MAE) of price deviations relative to the filtered trendline:
float upperBand = kalmanPrice + bandMultiplier * mae
float lowerBand = kalmanPrice - bandMultiplier * mae
The multiplier allows traders to adjust the sensitivity of the bands to market volatility.
👾 Slope-Based Trend Detection:
A weighted slope calculation measures the gradient of the filtered price over a configurable window. This slope determines whether the market is trending bullish, bearish, or neutral.
👾 Trailing Stop Mechanism:
The trailing stop employs the Average True Range (ATR) to calculate dynamic stop levels. This ensures positions are protected during volatile moves while minimizing premature exits.
👽 How It Adapts to Price Movements
Dynamic Noise Calibration: By adjusting process and measurement noise inputs, the indicator balances smoothness (to reduce noise) with responsiveness (to adapt to sharp price changes).
Trend Responsiveness: The Kalman Filter ensures that trend changes are quickly identified, while the slope calculation adds confirmation.
Volatility Sensitivity: The MAE-based bands expand and contract in response to changes in market volatility, making them ideal for breakout detection.
👽 How Traders Can Use the Indicator
👾 Breakout Detection:
Bullish Breakouts: When the price moves above the upper band, it signals a potential upward breakout.
Bearish Breakouts: When the price moves below the lower band, it signals a potential downward breakout.
The trailing stop feature offers a dynamic way to lock in profits or minimize losses during trending moves.
👾 Trend Confirmation:
The color-coded Kalman line and slope provide visual cues:
Bullish Trend: Positive slope, green line.
Bearish Trend: Negative slope, red line.
👽 Why It’s Useful for Traders
Dynamic and Adaptive: The indicator adjusts to changing market conditions, ensuring relevance across timeframes and asset classes.
Noise Reduction: The Kalman Filter smooths price data, eliminating false signals caused by short-term noise.
Comprehensive Insights: By combining breakout detection, trend analysis, and risk management, it offers a holistic trading tool.
👽 Indicator Settings
Process Noise (Position & Velocity): Adjusts filter responsiveness to price changes.
Measurement Noise: Defines expected price noise for smoother trend detection.
Slope Window: Configures the lookback for slope calculation.
Lookback Period for MAE: Defines the sensitivity of the bands to volatility.
Band Multiplier: Controls the band width.
ATR Multiplier: Adjusts the sensitivity of the trailing stop.
Line Width: Customizes the appearance of the trailing stop line.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Milvetti_TraderPost_LibraryLibrary "Milvetti_TraderPost_Library"
This library has methods that provide practical signal transmission for traderpost.Developed By Milvetti
cancelOrders(symbol)
This method generates a signal in JSON format that cancels all orders for the specified pair. (If you want to cancel stop loss and takeprofit orders together, use the “exitOrder” method.
Parameters:
symbol (string)
exitOrders(symbol)
This method generates a signal in JSON format that close all orders for the specified pair.
Parameters:
symbol (string)
createOrder(ticker, positionType, orderType, entryPrice, signalPrice, qtyType, qty, stopLoss, stopType, stopValue, takeProfit, profitType, profitValue, timeInForce)
This function is designed to send buy or sell orders to traderpost. It can create customized orders by flexibly specifying parameters such as order type, position type, entry price, quantity calculation method, stop-loss, and take-profit. The purpose of the function is to consolidate all necessary details for opening a position into a single structure and present it as a structured JSON output. This format can be sent to trading platforms via webhooks.
Parameters:
ticker (string) : The ticker symbol of the instrument. Default value is the current chart's ticker (syminfo.ticker).
positionType (string) : Determines the type of order (e.g., "long" or "buy" for buying and "short" or "sell" for selling).
orderType (string) : Defines the order type for execution. Options: "market", "limit", "stop". Default is "market"
entryPrice (float) : The price level for entry orders. Only applicable for limit or stop orders. Default is 0 (market orders ignore this).
signalPrice (float) : Optional. Only necessary when using relative take profit or stop losses, and the broker does not support fetching quotes to perform the calculation. Default is 0
qtyType (string) : Determines how the order quantity is calculated. Options: "fixed_quantity", "dollar_amount", "percent_of_equity", "percent_of_position".
qty (float) : Quantity value. Can represent units of shares/contracts or a dollar amount, depending on qtyType.
stopLoss (bool) : Enable or disable stop-loss functionality. Set to `true` to activate.
stopType (string) : Specifies the stop-loss calculation type. Options: percent, "amount", "stopPrice", "trailPercent", "trailAmount". Default is "stopPrice"
stopValue (float) : Stop-loss value based on stopType. Can be a percentage, dollar amount, or a specific stop price. Default is "stopPrice"
takeProfit (bool) : Enable or disable take-profit functionality. Set to `true` to activate.
profitType (string) : Specifies the take-profit calculation type. Options: "percent", "amount", "limitPrice". Default is "limitPrice"
profitValue (float) : Take-profit value based on profitType. Can be a percentage, dollar amount, or a specific limit price. Default is 0
timeInForce (string) : The time in force for your order. Options: day, gtc, opg, cls, ioc and fok
Returns: Return result in Json format.
addTsl(symbol, stopType, stopValue, price)
This method adds trailing stop loss to the current position. “Price” is the trailing stop loss starting level. You can leave price blank if you want it to start immediately
Parameters:
symbol (string)
stopType (string) : Specifies the trailing stoploss calculation type. Options: "trailPercent", "trailAmount".
stopValue (float) : Stop-loss value based on stopType. Can be a percentage, dollar amount.
price (float) : The trailing stop loss starting level. You can leave price blank if you want it to start immediately. Default is current price.
ATT Model with Buy/Sell SignalsIndicator Summary
This indicator is based on the ATT (Arithmetic Time Theory) model, using specific turning points derived from the ATT sequence (3, 11, 17, 29, 41, 47, 53, 59) to identify potential market reversals. It also integrates the RSI (Relative Strength Index) to confirm overbought and oversold conditions, triggering buy and sell signals when conditions align with the ATT sequence and RSI level.
Turning Points: Detected based on the ATT sequence applied to bar count. This suggests high-probability areas where the market could turn.
RSI Filter: Adds strength to the signals by ensuring buy signals occur when RSI is oversold (<30) and sell signals when RSI is overbought (>70).
Max Signals Per Session: Limits signals to two per session to reduce over-trading.
Entry Criteria
Buy Signal: Enter a buy trade if:
The indicator displays a green "BUY" marker.
RSI is below the oversold level (default <30), suggesting a potential upward reversal.
Sell Signal: Enter a sell trade if:
The indicator displays a red "SELL" marker.
RSI is above the overbought level (default >70), indicating a potential downward reversal.
Exit Criteria
Take Profit (TP):
Define TP as a fixed percentage or point value based on the asset's volatility. For example, set TP at 1.5-2x the risk, or a predefined point target (like 50-100 points).
Alternatively, exit the position when price approaches a key support/resistance level or the next significant swing high/low.
Stop Loss (SL):
Place the SL below the recent low (for buys) or above the recent high (for sells).
Set a fixed SL in points or percentage based on the asset’s average movement range, like an ATR-based stop, or limit it to a specific risk amount per trade (1-2% of account).
Trailing into Profit
Use a trailing strategy to lock in profits and let winning trades run further. Two main options:
ATR Trailing Stop:
Set the trailing stop based on the ATR (Average True Range), adjusting every time a new candle closes. This can help in volatile markets by keeping the stop at a consistent distance based on recent price movement.
Break-Even and Partial Profits:
When the price moves in your favor by a set amount (e.g., 1:1 risk/reward), move SL to the entry (break-even).
Take partial profit at intermediate levels (e.g., 50% at 1:1 RR) and trail the remainder.
Risk Management for Prop Firm Evaluation
Prop firms often have strict rules on daily loss limits, max drawdowns, and minimum profit targets. Here’s how to align your strategy with these:
Limit Risk per Trade:
Keep risk per trade to a conservative level (e.g., 1% or lower of your account balance). This allows for more room in case of a drawdown and aligns with most prop firm requirements.
Daily Loss Limits:
Set a daily stop-loss that ensures you don’t exceed the firm’s rules. For example, if the daily limit is 5%, stop trading once you reach a 3-4% drawdown.
Avoid Over-Trading:
Stick to the max signals per session rule (one or two trades). Taking only high-probability setups reduces emotional and reactive trades, preserving capital.
Stick to a Profit Target:
Aim to meet the evaluation’s profit goal efficiently but avoid risky or oversized trades to reach it faster.
Avoid Major Economic Events:
News events can disrupt technical setups. Avoid trading around significant releases (like FOMC or NFP) to reduce the chance of sudden losses due to high volatility.
Summary
Using this strategy with discipline, a structured entry/exit approach, and tight risk management can maximize your chances of passing a prop firm evaluation. The ATT model’s turning points, combined with the RSI, provide an edge by highlighting reversal zones, while limiting trades to 1-2 per session helps maintain controlled risk.
Atr Target TP & Protecion Zone [Pinescriptlabs]This indicator provides an adaptive trailing stop system with dynamic price targets and protection zones, ideal for position management.
Main Features:
🚦 ADAPTIVE TRAILING STOP:
Automatically adjusts based on volatility (ATR) and volume
Two modes: "Modified" and "UnModified" for true range calculation
Displayed as a line with colored background (green for longs, red for shorts)
🎯 TARGET ZONES (T1 & T2):
Calculates two target zones (T1 and T2) based on:
Market strength (combination of RSI, volume, MFI, ADX, MACD)
Current volatility (ATR)
Distance from current price
Visualized with blue boxes (T1) and purple boxes (T2)
🛡️ PROTECTION ZONE:
Automatically activates in sideways markets
Provides an additional buffer to the trailing stop
Helps avoid premature exits in volatile markets
📊 INFORMATION PANELS:
Top Right Panel displays:
Current trend direction
Target status (T1 & T2)
Market strength
Current ATR
RSI level
Bottom Right Panel displays:
Trailing status (WIDE/NORMAL)
Volume impact
Directional strength
Protection zone status
Español:
Este indicador proporciona un sistema de trailing stop adaptativo con objetivos de precio dinámicos y zonas de protección, ideal para la gestión de posiciones.
**Características Principales**:
🚦 **TRAILING STOP ADAPTATIVO**:
- Se ajusta automáticamente según la volatilidad (ATR) y el volumen
- Dos modos: "Modified" y "UnModified" para el cálculo del rango verdadero
- Se visualiza como una línea con fondo coloreado (verde para largos, rojo para cortos)
🎯 **ZONAS OBJETIVO (T1 y T2)**:
- Calcula dos zonas objetivo (T1 y T2) basadas en:
- Fuerza del mercado (combinación de RSI, volumen, MFI, ADX, MACD)
- Volatilidad actual (ATR)
- Distancia al precio actual
- Visualización mediante cajas azules (T1) y moradas (T2)
🛡️ **ZONA DE PROTECCIÓN**:
- Se activa automáticamente en mercados laterales
- Proporciona un buffer adicional al trailing stop
- Ayuda a evitar salidas prematuras en mercados volátiles
📊 **PANELES INFORMATIVOS**:
*Panel Superior Derecho* muestra:
- Dirección de la tendencia actual
- Estado de los objetivos (T1 y T2)
- Fuerza del mercado
- ATR actual
- Nivel de RSI
*Panel Inferior Derecho* muestra:
- Estado del trailing (WIDE/NORMAL)
- Impacto del volumen
- Fuerza direccional
- Estado de la zona de protección
Advanced Position Management [Mr_Rakun]Advanced Position Management
This Pine Script code is for a strategy titled "Advanced Position Management," aimed at effective trade execution and management using multiple take profit levels, trailing stop loss, and dynamic position sizing.
Take Profit Levels: It defines up to three take profit (TP) levels, allowing partial position exits at different price thresholds. The take profit levels and their respective quantities are adjustable using inputs.
Stop Loss and Trailing Stop: The script implements an initial stop loss based on a percentage from the entry price. Additionally, it features a trailing stop that moves based on either a percentage or previous TP levels, dynamically adjusting to maximize gains while protecting profits.
Position Size: The position size is customizable and based on USD value, allowing the trader to manage risk more effectively.
Advantages:
Flexibility: Multiple take profit levels and a dynamic stop loss system allow traders to lock in profits while keeping the position open for further gains.
Risk Management: The initial stop loss and trailing stop help to limit losses and protect profits as the trade moves in the desired direction.
Automation: Once the strategy is deployed, it automatically handles entry, exit, and stop management, reducing the need for constant monitoring.
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Gelişmiş Pozisyon Yönetimi
Bu Pine Script kodu, Gelişmiş Pozisyon Yönetimi için kendi stratejilerinize kolayca entegre edeceğiniz bir risk yönetimidir. Çoklu kâr al seviyeleri, takip eden stop-loss ve dinamik pozisyon büyüklüğü kullanarak işlem yürütme ve yönetiminde etkilidir.
Gelişmiş Pozisyon Yönetimi
Kâr Alma Seviyeleri;
Kod, pozisyonların farklı fiyat seviyelerinde kısmi kapatılmasını sağlayan üç farklı kâr alma (TP) seviyesini tanımlar. Bu kâr alma seviyeleri ve ilgili miktarları, girişlerle ayarlanabilir.
Stop Loss ve Takip Eden Stop;
Koda, giriş fiyatından bir yüzdeye dayalı olarak başlangıçta stop-loss uygulanır. Ayrıca, fiyat hareketine göre kendini ayarlayan takip eden bir stop-loss sistemi bulunur. Ayrıca TP seviyelerini takip eden stop loss özelliğide vardır.
Avantajları:
Esneklik;
Çoklu kâr alma seviyeleri ve dinamik stop-loss sistemi, trader'ların kazançlarını kilitleyip aynı zamanda pozisyonu açık tutmalarına olanak tanır.
Risk Yönetimi;
Başlangıç stop-loss ve takip eden stop, zararı sınırlamaya ve kazançları korumaya yardımcı olur.
Otomasyon;
Strateji bir kez devreye alındığında, giriş, çıkış ve stop yönetimi otomatik olarak gerçekleştirilir, bu da sürekli takip ihtiyacını azaltır.
Double CCI Confirmed Hull Moving Average Reversal StrategyOverview
The Double CCI Confirmed Hull Moving Average Strategy utilizes hull moving average (HMA) in conjunction with two commodity channel index (CCI) indicators: the slow and fast to increase the probability of entering when the short and mid-term uptrend confirmed. The main idea is to wait until the price breaks the HMA while both CCI are showing that the uptrend has likely been already started. Moreover, strategy uses exponential moving average (EMA) to trail the price when it reaches the specific level. The strategy opens only long trades.
Unique Features
Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Double trade setup confirmation: Strategy utilizes two different period CCI indicators to confirm the breakouts of HMA.
Trailing take profit level: After reaching the trailing profit activation level scrip activate the trailing of long trade using EMA. More information in methodology.
Methodology
The strategy opens long trade when the following price met the conditions:
Short-term period CCI indicator shall be above 0.
Long-term period CCI indicator shall be above 0.
Price shall cross the HMA and candle close above it with the same candle
When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility.
At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with EMA. If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”.
Strategy settings
In the inputs window user can setup the following strategy settings:
ATR Stop Loss (by default = 1.75)
ATR Trailing Profit Activation Level (by default = 2.25)
CCI Fast Length (by default = 25, used for calculation short term period CCI
CCI Slow Length (by default = 50, used for calculation long term period CCI)
Hull MA Length (by default = 34, period of HMA, which shall be broken to open trade)
Trailing EMA Length (by default = 20)
User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is CCI and HMA.
The Commodity Channel Index (CCI) is a momentum-based technical indicator used in trading to measure a security's price relative to its average price over a given period. Developed by Donald Lambert in 1980, the CCI is primarily used to identify cyclical trends in a security, helping traders to spot potential buying or selling opportunities.
The CCI formula is:
CCI = (Typical Price − SMA) / (0.015 × Mean Deviation)
Typical Price (TP): This is calculated as the average of the high, low, and closing prices for the period.
Simple Moving Average (SMA): This is the average of the Typical Prices over a specific number of periods.
Mean Deviation: This is the average of the absolute differences between the Typical Price and the SMA.
The result is a value that typically fluctuates between +100 and -100, though it is not bounded and can go higher or lower depending on the price movement.
The Hull Moving Average (HMA) is a type of moving average that was developed by Alan Hull to improve upon the traditional moving averages by reducing lag while maintaining smoothness. The goal of the HMA is to create an indicator that is both quick to respond to price changes and less prone to whipsaws (false signals).
How the Hull Moving Average is Calculated?
The Hull Moving Average is calculated using the following steps:
Weighted Moving Average (WMA): The HMA starts by calculating the Weighted Moving Average (WMA) of the price data over a period square root of n (sqrt(n))
Speed Adjustment: A WMA is then calculated for half of the period n/2, and this is multiplied by 2 to give more weight to recent prices.
Lag Reduction: The WMA of the full period n is subtracted from the doubled n/2 WMA.
Final Smoothing: To smooth the result and reduce noise, a WMA is calculated for the square root of the period n.
The formula can be represented as:
HMA(n) = WMA(WMA(n/2) × 2 − WMA(n), sqrt(n))
The Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent data points, making it more responsive to recent price changes than a Simple Moving Average (SMA). In a WMA, each data point within the selected period is multiplied by a weight, with the most recent data receiving the highest weight. The sum of these weighted values is then divided by the sum of the weights to produce the WMA.
This strategy leverages HMA of user given period as a critical level which shall be broken to say that probability of trend change to the upside increased. HMA reacts faster than EMA or SMA to the price change, that’s why it increases chances to enter new trade earlier. Long-term period CCI helps to have an approximation of mid-term trend. If it’s above 0 the probability of uptrend increases. Short-period CCI allows to have an approximation of short-term trend reversal from down to uptrend. This approach increases chances to have a long trade setup in the direction of mid-term trend when the short-term trend starts to reverse.
ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements. It’s also important to make a note, that script uses HMA to enter the trade, but for trailing it leverages EMA. It’s used because EMA has no such fast reaction to price move which increases probability not to be stopped out from any significant uptrend move.
Backtest Results
Operating window: Date range of backtests is 2022.07.01 - 2024.08.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 100%
Maximum Single Position Loss: -4.67%
Maximum Single Profit: +19.66%
Net Profit: +14897.94 USDT (+148.98%)
Total Trades: 104 (36.54% win rate)
Profit Factor: 2.312
Maximum Accumulated Loss: 1302.66 USDT (-9.58%)
Average Profit per Trade: 143.25 USDT (+0.96%)
Average Trade Duration: 34 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 2h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
SVMKR_UT_Bot_HMA_UCS_LRSThis Pine Script code is a TradingView study script titled "SVMKR_UT_Bot_HMA_UCS_LRS". It combines two separate trading indicators: the UT Bot (Ultimate Trailing Stop Bot) and the UCS_LRS (Linear Regression Slope) indicator.
UT Bot (Ultimate Trailing Stop Bot):
The UT Bot is designed to provide buy and sell signals based on a trailing stop strategy.
It calculates the trailing stop level using the Average True Range (ATR) and Heikin Ashi candle signals if enabled.
Buy signals are generated when the price crosses above the trailing stop, while sell signals occur when the price crosses below the trailing stop.
Additionally, buy and sell signals are visually represented on the chart with corresponding labels and shapes.
The script also includes options to customize the sensitivity of the trailing stop and to color the bars based on buy or sell signals.
Hull Moving Average (HMA):
This section calculates and plots the Hull Moving Average, a type of moving average that reduces lag and improves smoothing compared to traditional moving averages.
It uses the weighted moving average (WMA) to compute the HMA, which helps to identify trend direction and potential reversal points.
UCS_LRS (Linear Regression Slope):
The UCS_LRS indicator calculates the linear regression slope of the closing prices over a specified period.
It then applies exponential smoothing to the slope values and calculates an average slope.
Buy signals are generated when the current slope is greater than the average slope and positive, indicating an uptrend.
Conversely, sell signals are generated when the current slope is less than the average slope and negative, suggesting a downtrend.
The linear regression slope and its average are plotted on the chart, allowing traders to visually identify trend strength and potential reversal points.
Overall, this combined script provides traders with a comprehensive set of tools for trend following and momentum trading strategies, integrating trailing stop analysis, moving average smoothing, and linear regression slope analysis into a single script for technical analysis on TradingView charts.
ICT Unicorn Model [LuxAlgo]The ICT Unicorn Model indicator highlights the presence of "unicorn" patterns on the user's chart which is derived from the lectures of "The Inner Circle Trader" (ICT) .
Detected patterns are followed by targets with a distance controlled by the user.
🔶 USAGE
At its core, the ICT Unicorn Model relies on two popular concepts, Fair Value Gaps and Breaker Blocks. This combination highlights a future area of support/resistance.
A Bullish Unicorn Pattern consists out of:
A Lower Low (LL), followed by a Higher High (HH)
A Fair Value Gap (FVG), overlapping the established Breaker Block
A successful re-test of the FVG which confirms the pattern.
A Bearish Unicorn Pattern consists of:
A Higher High (HH), followed by a Lower Low (LL)
A Fair Value Gap (FVG), overlapping the established Breaker Block
A successful re-test of the FVG which confirms the pattern
The pattern detection depends on detected swings, which can be controlled by the Swing setting. Using higher values of this setting will return longer-term breaker blocks.
🔹 Using Risk/Reward Targets
A confirmed Unicorn pattern will show a blue ( Target ) / grey ( Stop Loss) "Risk/Reward" areas (RR).
When the Stop Loss or Target is hit, a white line is shown on the concerned side.
The Risk/Reward ratio can be adjusted in the "Targets" settings.
🔹 Trailing Stop
As seen in the previous snapshots, besides the RR areas, this indicator also includes an optional Trailing Stop .
This can be helpful to lower your risk, by exiting earlier than if you would wait until the Stop Loss is hit.
This example shows a successful bullish and bearish Unicorn Pattern . In this scenario, the Trailing Stop could be used for partial Take Profit.
The goal of this publication is to show confirmed Unicorn Patterns . To increase the chance of success, it is important to evaluate the bigger picture & use this in confluence with your price action analysis. For example, look for potential areas of liquidity, consider this pattern only during certain market sessions, avoid trading during heavy impact news, &/or incorporate other aspects of technical analysis rather than just following this pattern blindly.
🔶 DETAILS
🔹 Combine
When disabled, all potential Unicorn Patterns will delete previous unconfirmed patterns:
Enabling Combine ensures the last Unicorn Patterns in the opposite direction will remain.
While the latter bullish pattern became invalid, another one formed.
The combination of the previous bearish pattern, and looking at the big picture, the bullish pattern did not have much chance to be successful.
While disabling 'combine' helps minimize clutter, enabling this feature can give a pattern more chance to hit the SL/Target level.
🔹 Mitigated FVG
Users can determine if a pattern becomes invalid due to a mitigated FVG, causing the pattern to be deleted.
🔹 New pattern detected
When a new pattern is detected, the previous unconfirmed pattern in the same direction (bullish - bullish or bearish - bearish) will be deleted. This will always be the case, whether "Combine' is enabled or disabled.
When the previous pattern was confirmed but no SL or Target level was hit, this pattern will stop updating.
🔶 SETTINGS
🔹 Unicorn
Swings: This sets the length of swings, used for the underlying ZigZag and Unicorn Patterns detection.
Bull: Enable/disable Bullish patterns, and set the color of FVG box and Trailing Stop .
Bear: Enable/disable Bearish patterns, and set the color of FVG box and Trailing Stop .
Combine: When enabled, patterns in opposite directions (bullish/bearish) can exist at the same time. disabling this feature tends to give less clutter. See the "Usage" section for more information.
🔹 Targets
Risk/Reward: Sets the Risk/Reward ratio.
Trailing Stop: Set the length of small swings, which is used for the Trailing Stop .
Long-Only Opening Range Breakout (ORB) with Pivot PointsIntraday Trading Strategy: Long-Only Opening Range Breakout (ORB) with Pivot Points
Background:
Opening Range Breakout (ORB) is a popular long-only trading strategy that capitalizes on the early morning volatility in financial markets. It's based on the idea that the initial price movements during the first few minutes or hours of the trading day can set the tone for the rest of the session. The strategy involves identifying a price range within which the asset trades during the opening period and then taking long positions when the price breaks out to the upside of this range.
Pivot Points are a widely used technical indicator in trading. They represent potential support and resistance levels based on the previous day's price action. Pivot points are calculated using the previous day's high, low, and close prices and can help traders identify key price levels for making trading decisions.
How to Use the Script:
Initialization: This script is written in Pine Script, a domain-specific language for trading strategies on the TradingView platform. To use this script, you need to have access to TradingView.
Apply the Script: You can do this by adding it to your favorites, then selecting the script in the indicators list under favorites or by searching for it by name under community scripts.
Customize Settings: The script allows you to customize various settings through the TradingView interface. These settings include:
Opening Session: You can set the time frame for the opening session.
Max Trades per Day: Specify the maximum number of long trades allowed per trading day.
Initial Stop Loss Type: Choose between using a percentage-based stop loss or the previous candles low for stop loss calculations.
Stop Loss Percentage: If you select the percentage-based stop loss, specify the percentage of the entry price for the stop loss.
Backtesting Start and End Time: Set the time frame for backtesting the strategy.
Strategy Signals:
The script will display pivot points in blue (R1, R2, R3, R4, R5) and half-pivot points in gray (R0.5, R1.5, R2.5, R3.5, R4.5) on your chart.
The green line represents the opening range.
The script generates long (buy) signals based on specific conditions:
---The open price is below the opening range high (h).
---The current high price is above the opening range high.
---Pivot point R1 is above the opening range high.
---It's a long-only strategy designed to capture upside breakouts.
---It also respects the maximum number of long trades per day.
The script manages long positions, calculates stop losses, and adjusts long positions according to the defined rules.
Trailing Stop Mechanism
The script incorporates a dynamic trailing stop mechanism designed to protect and maximize profits for long positions. Here's how it works:
1. Initialization:
The script allows you to choose between two types of initial stop loss:
---Percentage-based: This option sets the initial stop loss as a percentage of the entry price.
---Previous day's low: This option sets the initial stop loss at the previous day's low.
2. Setting the Initial Stop Loss (`sl_long0`):
The initial stop loss (`sl_long0`) is calculated based on the chosen method:
---If "Percentage" is selected, it calculates the stop loss as a percentage of the entry price.
---If "Previous Low" is selected, it sets the stop loss at the previous day's low.
3. Dynamic Trailing Stop (`trail_long`):
The script then monitors price movements and uses a dynamic trailing stop mechanism (`trail_long`) to adjust the stop loss level for long positions.
If the current high price rises above certain pivot point levels, the trailing stop is adjusted upwards to lock in profits.
The trailing stop levels are calculated based on pivot points (`r1`, `r2`, `r3`, etc.) and half-pivot points (`r0.5`, `r1.5`, `r2.5`, etc.).
The script checks if the high price surpasses these levels and, if so, updates the trailing stop accordingly.
This dynamic trailing stop allows traders to secure profits while giving the position room to potentially capture additional gains.
4. Final Stop Loss (`sl_long`):
The script calculates the final stop loss level (`sl_long`) based on the following logic:
---If no position is open (`pos == 0`), the stop loss is set to zero, indicating there is no active stop loss.
---If a position is open (`pos == 1`), the script calculates the maximum of the initial stop loss (`sl_long0`) and the dynamic trailing stop (`trail_long`).
---This ensures that the stop loss is always set to the more conservative of the two values to protect profits.
5. Plotting the Stop Loss:
The script plots the stop loss level on the chart using the `plot` function.
It will only display the stop loss level if there is an open position (`pos == 1`) and it's not a new trading day (`not newday`).
The stop loss level is shown in red on the chart.
By combining an initial stop loss with a dynamic trailing stop based on pivot points and half-pivot points, the script aims to provide a comprehensive risk management mechanism for long positions. This allows traders to lock in profits as the price moves in their favor while maintaining a safeguard against adverse price movements.
End of Day (EOD) Exit:
The script includes an "End of Day" (EOD) exit mechanism to automatically close any open positions at the end of the trading day. This feature is designed to manage and control positions when the trading day comes to a close. Here's how it works:
1. Initialization:
At the beginning of each trading day, the script identifies a new trading day using the `is_newbar('D')` condition.
When a new trading day begins, the `newday` variable becomes `true`, indicating the start of a new trading session.
2. Plotting the "End of Day" Signal:
The script includes a plot on the chart to visually represent the "End of Day" signal. This is done using the `plot` function.
The plot is labeled "DayEnd" and is displayed as a comment on the chart. It signifies the EOD point.
3. EOD Exit Condition:
When the script detects that a new trading day has started (`newday == true`), it triggers the EOD exit condition.
At this point, the script proceeds to close all open positions that may have been active during the trading day.
4. Closing Open Positions:
The `strategy.close_all` function is used to close all open positions when the EOD exit condition is met.
This function ensures that any remaining long positions are exited, regardless of their current profit or loss.
The function also includes an `alert_message`, which can be customized to send an alert or notification when positions are closed at EOD.
Purpose of EOD Exit
The "End of Day" exit mechanism serves several essential purposes in the trading strategy:
Risk Management: It helps manage risk by ensuring that positions are not left open overnight when markets can experience increased volatility.
Capital Preservation: Closing positions at EOD can help preserve trading capital by avoiding potential adverse overnight price movements.
Rule-Based Exit: The EOD exit is rule-based and automatic, ensuring that it is consistently applied without emotions or manual intervention.
Scalability: It allows the strategy to be applied to various markets and timeframes where EOD exits may be appropriate.
By incorporating an EOD exit mechanism, the script provides a comprehensive approach to managing positions, taking profits, and minimizing risk as each trading day concludes. This can be especially important in volatile markets like cryptocurrencies, where overnight price swings can be significant.
Backtesting: The script includes a backtesting feature that allows you to test the strategy's performance over historical data. Set the start and end times for backtesting to see how the long-only strategy would have performed in the past.
Trade Execution: If you choose to use this script for live trading, make sure you understand the risks involved. It's essential to set up proper risk management, including position sizing and stop loss orders.
Monitoring: Monitor the long-only strategy's performance over time and be prepared to make adjustments as market conditions change.
Disclaimer: Trading carries a risk of capital loss. This script is provided for educational purposes and as a starting point for your own long-only strategy development. Always do your own research and consider seeking advice from a qualified financial professional before making trading decisions.
Nifty 50 5mint Strategy
The script defines a specific trading session based on user inputs. This session is specified by a time range (e.g., "1000-1510") and selected days of the week (e.g., Monday to Friday). This session definition is crucial for trading only during specific times.
Lookback and Breakout Conditions:
The script uses a lookback period and the highest high and lowest low values to determine potential breakout points. The lookback period is user-defined (default is 10 periods).
The script also uses Bollinger Bands (BB) to identify potential breakout conditions. Users can enable or disable BB crossover conditions. BB consists of an upper and lower band, with the basis.
Additionally, the script uses Dema (Double Exponential Moving Average) and VWAP (Volume Weighted Average Price) . Users can enable or disable this condition.
Buy and Sell Conditions:
Buy conditions are met when the close price exceeds the highest high within the specified lookback period, Bollinger Bands conditions are satisfied, Dema-VWAP conditions are met, and the script is within the defined trading session.
Sell conditions are met when the close price falls below the lowest low within the lookback period, Bollinger Bands conditions are satisfied, Dema-VWAP conditions are met, and the script is within the defined trading session.
When either condition is met, it triggers a "long" or "short" position entry.
Trailing Stop Loss (TSL):
Users can choose between fixed points ( SL by points ) or trailing stop (Profit Trail).
For fixed points, users specify the number of points for the stop loss. A fixed stop loss is set at a certain distance from the entry price if a position is opened.
For Profit Trail, users can enable or disable this feature. If enabled, the script uses a "trail factor" (lookback period) to determine when to adjust the stop loss.
If the price moves in the direction of the trade and reaches a certain level (determined by the trail factor), the stop loss is adjusted, trailing behind the price to lock in profits.
If the close price falls below a certain level (lowest low within the trail factor(lookback)), and a position is open, the "long" position is closed (strategy.close("long")).
If the close price exceeds a certain level (highest high within the specified trail factor(lookback)), and a position is open, the "short" position is closed (strategy.close("short")).
Positions are also closed if they are open outside of the defined trading session.
Background Color:
The script changes the background color of the chart to indicate buy (green) and sell (red) signals, making it visually clear when the strategy conditions are met.
In summary, this script implements a breakout trading strategy with various customizable conditions, including Bollinger Bands, Dema-VWAP crossovers, and session-specific rules. It also includes options for setting stop losses and trailing stop losses to manage risk and lock in profits. The "trail factor" helps adjust trailing stops dynamically based on recent price movements. Positions are closed under certain conditions to manage risk and ensure compliance with the defined trading session.
CE=Buy, CE_SL=stoploss_buy, tCsl=Trailing Stop_buy.
PE=sell, PE_SL= stoploss_sell, tpsl=Trailing Stop_sell.
Remember that trading involves inherent risks, and past performance is not indicative of future results. Exercise caution, manage risk diligently, and consider the advice of financial experts when using this script or any trading strategy.
Elliott Wave with Supertrend Exit - Strategy [presentTrading]## Introduction and How it is Different
The Elliott Wave with Supertrend Exit provides automated detection and validation of Elliott Wave patterns for algorithmic trading. It is designed to objectively identify high-probability wave formations and signal entries based on confirmed impulsive and corrective patterns.
* The Elliott part is mostly referenced from Elliott Wave by @LuxAlgo
Key advantages compared to discretionary Elliott Wave analysis:
- Wave Labeling and Counting: The strategy programmatically identifies swing pivot highs/lows with the Zigzag indicator and analyzes the waves between them. It labels the potential impulsive and corrective patterns as they form. This removes the subjectivity of manual wave counting.
- Pattern Validation: A rules-based engine confirms valid impulsive and corrective patterns by checking relative size relationships and fib ratios. Only confirmed wave counts are plotted and traded.
- Objective Entry Signals: Trades are entered systematically on the start of new impulsive waves in the direction of the trend. Pattern failures invalidate setups and stop out positions.
- Automated Trade Management: The strategy defines specific rules for profit targets at fib extensions, trailing stops at swing points, and exits on Supertrend reversals. This automates the entire trade lifecycle.
- Adaptability: The waveform recognition engine can be tuned by adjusting parameters like Zigzag depth and Supertrend settings. It adapts to evolving market conditions.
ETH 1hr chart
In summary, the strategy brings automation, objectivity and adaptability to Elliott Wave trading - removing subjective interpretation errors and emotional trading biases. It implements a rules-based, algorithmic approach for systematically trading Elliott Wave patterns across markets and timeframes.
## Trading Logic and Rules
The strategy follows specific trading rules based on the detected and validated Elliott Wave patterns.
Entry Rules
- Long entry when a new impulsive bullish (5-wave) pattern forms
- Short entry when a new impulsive bearish (5-wave) pattern forms
The key is entering on the start of a new potential trend wave rather than chasing.
Exit Rules
- Invalidation of wave pattern stops out the trade
- Close long trades on Supertrend downturn
- Close short trades on Supertrend upturn
- Use a stop loss of 10% of entry price (configurable)
Trade Management
- Scale out partial profits at Fibonacci levels
- Move stop to breakeven when price reaches 1.618 extension
- Trail stops below key swing points
- Target exits at next Fibonacci projection level
Risk Management
- Use stop losses on all trades
- Trade only highest probability setups
- Size positions according to chart timeframe
- Avoid overtrading when no clear patterns emerge
## Strategy - How it Works
The core logic follows these steps:
1. Find swing highs/lows with Zigzag indicator
2. Analyze pivot points to detect impulsive 5-wave patterns:
- Waves 1, 3, and 5 should not overlap
- Waves 3 and 5 must be longer than wave 1
- Confirm relative size relationships between waves
3. Validate corrective 3-wave patterns:
- Look for overlapping, choppy waves that retrace the prior impulsive wave
4. Plot validated waves and Fibonacci retracement levels
5. Signal entries when a new impulsive wave pattern forms
6. Manage exits based on pattern failures and Supertrend reversals
Impulsive Wave Validation
The strategy checks relative size relationships to confirm valid impulsive waves.
For uptrends, it ensures:
```
Copy code- Wave 3 is longer than wave 1
- Wave 5 is longer than wave 2
- Waves do not overlap
```
Corrective Wave Validation
The strategy identifies overlapping corrective patterns that retrace the prior impulsive wave within Fibonacci levels.
Pattern Failure Invalidation
If waves fail validation tests, the strategy invalidates the pattern and stops signaling trades.
## Trade Direction
The strategy detects impulsive and corrective patterns in both uptrends and downtrends. Entries are signaled in the direction of the validated wave pattern.
## Usage
- Use on charts showing clear Elliott Wave patterns
- Start with daily or weekly timeframes to gauge overall trend
- Optimize Zigzag and Supertrend settings as needed
- Consider combining with other indicators for confirmation
## Default Settings
- Zigzag Length: 4 bars
- Supertrend Length: 10 bars
- Supertrend Multiplier: 3
- Stop Loss: 10% of entry price
- Trading Direction: Both
QQE Weighted Oscillator [LuxAlgo]The QQE (Quantitative Qualitative Estimation) Weighted Oscillator improves on its original version by weighting the RSI based on the indications given by the trailing stop, requiring more effort in order for a cross with the trailing stop to occur.
🔶 USAGE
The QQE Weighted Oscillator is comprised of a smoothed RSI oscillator and a trailing stop derived from this same RSI. The oscillator can be used to indicate whether the market is overbought/oversold as well as an early indication of trend reversals thanks to the leading nature of the RSI.
Using higher Factor values will return a longer-term trailing stop.
Like with a regular RSI divergence can be indicative of a reversal.
Further weighting will control how much "effort" is required for the trailing stop to cross the RSI. For example. For example, an RSI above the trailing stop will require a higher degree of negative price variations in order for a potential cross to occur when using higher weights.
This can cause higher weightings to return more cyclical and smoother results.
🔶 SETTINGS
Length: Length of the RSI oscillator.
Factor: Multiplicative factor used for the trailing stop calculation.
Smooth: Degree of smoothness of the RSI oscillator.
Weight: Degree of weighting used for the RSI calculation.
D-Bot Alpha RSI Breakout StrategyHello dear Traders,
Here is a simple yet effective strategy to use, for best profit higher time frame, such as daily.
Structure of the code
The code defines inputs for SMA (simple moving average) length, RSI (relative strength index) length, RSI entry level, RSI stop loss level, and RSI take profit level. The default values of these variables can be customized as per the user's preferences.
The script calculates SMA and RSI based on the input parameters and the closing price of the asset.
Trading logic
This strategy allows the placement of a long position when:
The RSI crosses above the RSI entry level and
The close price is above the SMA value.
After entering a long position, it applies a trailing stop mechanism. The stop price is updated to the close price if the close price is lower than the last close price.
The script closes the long position when:
RSI falls below the stop loss level.
RSI reaches or exceeds the take profit level.
If the trailing stop is activated (once RSI reaches or exceeds the take profit level), the closing price falls below the trailing stop level.
Strengths
The strategy includes mechanisms for entering a position, taking profit, and stopping losses, which are fundamental aspects of a trading strategy.
It applies a trailing stop mechanism that allows to capture further gains if the price keeps increasing while protecting from losses if the price starts to decrease.
Weaknesses
This strategy only contemplates long positions. Depending on the market situation, the strategy may miss opportunities for short selling when the market is on a downward trend.
The choice of the fixed RSI entry, stop loss, and take profit levels may not be ideal for all market conditions or assets. It might benefit from a more adaptive mechanism that adjusts these levels according to market volatility or trend.
The strategy doesn't factor in trading costs (such as spread or commission), which could have a significant impact on the net profit, especially if the user is trading with a high frequency or in a low liquidity market.
How to trade with this strategy
Given these parameters and the strategy outlined by the code, the trader would enter a long position when the RSI crosses above the RSI entry level (default 34) and the closing price is above the SMA value (SMA calculated with default period of 200). The trader would exit the position when either the RSI falls below the RSI stop loss level (default 30), or RSI rises above the RSI take profit level (default 50), or when the trailing stop is hit.
Remember "The strategies I have prepared are entirely for educational purposes and should not be considered as investment advice. Support your trades using other tools. Wishing everyone profitable trades..."
Limit Order + ATR Stop-Loss [TANHEF]This indicator enables interactive placement of limit or stop-limit orders with a trailing ATR stop-loss and optional profit target (with alerts). Refer to the images below for further clarification.
Why use a trailing stop-loss?
A trailing stop-loss serves as an exit strategy when price moves against you, while also allowing you to adjust the exit point further into profit when price moves favorably. The ATR (Average True Range), a reliable measure of volatility, acts as an effective risk management tool, functioning as a trailing stop-loss.
Indicator Explanation
Initial indicator placement: Select Long Limit or Long-Stop Limit order.
Change Entry Type: Switch between Long and Short within settings.
Modify entry price: Drag circle, adjust in settings, or re-add indicator to chart.
Optional Profit Target: Use Risk/Reward ratio or specify price.
Entry anticipation: Estimated ATR stop-loss and profit target as blue circles (fluctuates with volatility changes).
Entry triggered: Actual ATR stop-loss and profit target plotted.
Exit conditions: Stop-loss or profit target hit, exit entry.
Update Frequency: Continuously, Bar Open, or Bar Open on entry then continuously.
ATR Overlap: no entry occurs if the ATR overlaps with price (stop-loss 'hit' already on entry bar)
Table: Displays input settings selected.
Show Only On Ticker: Ability to hide indicator on other tickers.
Long Limit
Long Stop-Limit
Short Limit
Short Stop-Limit
Alerts
1. 'Check' alerts to use within indicator settings (entry, trailing stop hit, profit target hit, and failed entry).
2. Select 'Create Alert'
3. Set the condition to 'Limit Order + ATR Stop-Loss''
4. Select create.
Additional details can be added to the alert message using these words in between Curly (Brace) Brackets:
{{trail}} = ATR trailing stop-loss (price)
{{target}} = Price target (price)
{{type}} = Long or Short stop-loss (word)
{{traildistance}} = Trailing Distance (%)
{{targetdistance}} = Target Distance (%)
{{starttime}} = Start time of position (day:hr:min)
{{maxdrawdown}} = max loss
{{maxprofit}} = max profit
{{update}} = stoploss update frequency
{{entrysource}} = entry as 1st bar source (yes/no)
{{triggerentry}} = Wick/Close Trigger entry input
{{triggerexit}} = Wick/Close Trigger exit input
{{triggertarget}} = Wick/Close Trigger target input
{{atrlength}} = ATR length input
{{atrmultiplier}} = ATR multiplier input
{{atrtype}} = ATR type input
{{ticker}} = Ticker of chart (word)
{{exchange}} = Exchange of chart (word)
{{description}} = Description of ticker (words)
{{close}} = Bar close (price)
{{open}} = Bar open (price)
{{high}} = Bar high (price)
{{low}} = Bar low (price)
{{hl2}} = Bar HL2 (price)
{{volume}} = Bar volume (value)
{{time}} = Current time (day:hr:min)
{{interval}} = Chart timeframe
{{newline}} = New line for text
TradeTrackerLibrary "TradeTracker"
Simple Library for tracking trades
method track(this)
tracks trade when called on every bar
Namespace types: Trade
Parameters:
this (Trade) : Trade object
Returns: current Trade object
Trade
Has the constituents to track trades generated by any method.
Fields:
id (series int)
direction (series int) : Trade direction. Positive values for long and negative values for short trades
initialEntry (series float) : Initial entry price. This value will not change even if the entry is changed in the lifecycle of the trade
entry (series float) : Updated entry price. Allows variations to initial calculated entry. Useful in cases of trailing entry.
initialStop (series float) : Initial stop. Similar to initial entry, this is the first calculated stop for the lifecycle of trade.
stop (series float) : Trailing Stop. If there is no trailing, the value will be same as that of initial trade
targets (float ) : array of target values.
startBar (series int) : bar index of starting bar. Set by default when object is created. No need to alter this after that.
endBar (series int) : bar index of last bar in trade. Set by tracker on each execution
startTime (series int) : time of the start bar. Set by default when object is created. No need to alter this after that.
endTime (series int) : time of the ending bar. Updated by tracking method.
status (series int) : Integer parameter to track the status of the trade
retest (series bool) : Boolean parameter to notify if there was retest of the entry price
