Trend SR based strategyIt is a logical continuation of my Trend SR based indicator
Algo of strategy is next
1)Detect SR levels
2)Calculate separate channels for SR made by highs and lows
3)it takes position if the current SR is breaking and close price is not in opposite channel zone
4)It closes position if prise leave current channel zone or as an option (stoploss) if SR is breaking in an opposite direction
-uses //@version=4
-no volume needed for detecting SR breaking and entering a long position
-volume confirmation of SR breaking may be used in the option section
-volume has an option to use smoothing with MA: SMA, AHMA, VIDYA
-volume has option to use volume pump as confirmation of SR breaking (simple dev function)
-stoploss as option
-uses barstate.isconfirmed (returns true if the script is calculating the last (closing) update of the current bar) for entering position on current bar close
-as an option, all or only current SR levels detected by algo can be plotted
-option to plot SR as a channel - as FILTERED whole SR history, in a long or short position it plots only stoploss level and entering opposite position level, in no position it plots long and short entering levels
It works well on 1D
For using on 4h or lower timeframes - Volume confirmation with VIDYA or AHMA may give better results
For better work especially on LTF algo needs better detection of highs and lows, now it uses fractal filter of last bars
在脚本中搜索"algo"
Dompeet Pompeet (Breakout bot)Dompeet Pompeet is my first attempt at a viable swingtrading algo.
It uses volatility and some trend analysis to enter trade when the market is about to breakout or break down. Having a trailing stop locks in profits and prevents runaway losses for low drawdown and 2:1 profit factor.
Settings to use:
BTCUSD or XBTUSD
4hr Timeframe or 2hr or 1hr (not shorter)
Bars window: 13, 16 or 20 bars
Moving average settings: 100/10 EMA to confirm trend
Trade the Trend - check on to only take trades long in a confirmed uptrend (vice versa short), otherwise it will attempt to buy and sell counter trend, which increases profits but also increases loss rate.
Trailing stop, values from 2-5% give the best results.
Take with a pinch of salt, there are some bugs in pine script which are difficult to track down but overall I'm pleased with the idea.
Trend tracking strategy of proprietary traders-RabbitThis is my latest strategy integration. It is a combination of trend tracking strategy and visualization trend. I believe it will bring you a clear trend discrimination and relatively reliable trading signal hints.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Statement of strategy concept:
The concept of strategy is trend tracking. The formation and continuation of trend is the product of speculation market for thousands of years. There are various strategies including CTA trend strategy, shock regression strategy, grid strategy, Martin strategy, Alpha strategy and so on. These strategies have their own merits just like different schools of Chinese knight-errant. Choose one, a master is not able to do hundreds of tricks, but to practice one trick thousands of times.
Every strategy has its own right and wrong. Trading is not violence, but a process of advancing, retreating, and making profits steadily. Therefore, the use of trend tracking strategy must overcome greed in human nature, profit and loss homology, dare to bear the shock of withdrawal in order to make a big profit when the real trend arrives. (Of course, this strategy has largely avoided filtering shocks, which will be explained later.)
Policy-building instructions:
Any trend tracking strategy can produce good results when there is a trend, so judging whether a trend strategy is good or bad depends on its withdrawal performance when it is shaking. This CTA trend tracking strategy uses Kauffman adaptive algorithm, fractal adaptive dimension, self-research algorithm and other tools, and has largely avoided filtering the signal in the shock without delay to follow the trend.
New version of the note:
The latest version adds the trend drawing of negativity, which can clearly distinguish the rising or falling or oscillating trend. However, the algorithm of strategy signal has no direct relationship with trend color. Trend color helps you to distinguish trend, and point signal helps you to refer to trade. This strategy is only a simple trading signal, risk control, warehouse management also need manual operation.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Good luck to all of you and a smooth deal.~
Trend tracking strategy of proprietary traders-RabbitThis is my latest strategy integration. It is a combination of trend tracking strategy and visualization trend. I believe it will bring you a clear trend discrimination and relatively reliable trading signal hints.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Statement of strategy concept:
The concept of strategy is trend tracking. The formation and continuation of trend is the product of speculation market for thousands of years. There are various strategies including CTA trend strategy, shock regression strategy, grid strategy, Martin strategy, Alpha strategy and so on. These strategies have their own merits just like different schools of Chinese knight-errant. Choose one, a master is not able to do hundreds of tricks, but to practice one trick thousands of times.
Every strategy has its own right and wrong. Trading is not violence, but a process of advancing, retreating, and making profits steadily. Therefore, the use of trend tracking strategy must overcome greed in human nature, profit and loss homology, dare to bear the shock of withdrawal in order to make a big profit when the real trend arrives. (Of course, this strategy has largely avoided filtering shocks, which will be explained later.)
Policy-building instructions:
Any trend tracking strategy can produce good results when there is a trend, so judging whether a trend strategy is good or bad depends on its withdrawal performance when it is shaking. This CTA trend tracking strategy uses Kauffman adaptive algorithm, fractal adaptive dimension, self-research algorithm and other tools, and has largely avoided filtering the signal in the shock without delay to follow the trend.
Additional notes for the new version:
The latest integrated version has increased the visualization of trends. It can clearly distinguish the trend of ups and downs or consolidation shocks based on chart color. However, trading signals are not calculated according to color changes, but the visualization helps you identify trends and signals help you to refer to sales.
This is only a simple trading signal strategy, and the other warehouse management and risk control need manual completion operation.
(Note: This strategy parameter has special parameter debugging and Optimization for BTC1h/BIANACE Heikin-ashi chart. It works best here. Other trade pairs or parameter versions of investment targets will be published specially if necessary.)
Good luck to all of you and a smooth deal.~
Readjusting Alpha (RA-1)The basis for this algorithm is an EMA 50/200 crossover protocol with one significant difference: it readjusts (or "learns") whether the original EMA crossover strategy is profitable based on its past performance and flips the conditions accordingly. The result is improved performance on relatively all timeframes in all statistical categories. There are options for long- and short-only trigger conditions. This algorithm is by invite only. If you have any questions about the algorithm, feel free to contact me.
Happy trades,
Sim
Matrix Trend Reverse EngineeringSelling algorithms.
Contact me to code your own indicators or strategy.
Ekoparaloji Cyrpto StrategyEkoparaloji Crypto Strategy - User Information Document
📊 Strategy Overview
This strategy provides long-term position management in cryptocurrency markets using the averaging down (pyramiding) technique. The basic logic is to controllably grow positions as prices decline and exit when specific profit targets are reached.
🎯 Key Features
✅ Automatic Entry System
Market direction is determined using a proprietary trend identification algorithm
Trades are only opened in uptrends
Initial position opens automatically when specific conditions are met
📈 Pyramiding Mechanism
New positions are automatically added as price decreases
Up to 10 positions can be added maximum
Each addition occurs at predetermined decline levels
Risk management through dynamic position sizing
💰 Profit and Loss Management
Take Profit: All positions close when the specified percentage above average cost is reached
Stop Loss (Optional): Protects a specified percentage of total capital
A certain ratio of available capital is used in each trade
📊 Visual Tracking System
The following information is displayed in real-time on the chart:
✅ Average cost level
✅ Profit target level
✅ Stop loss level (if active)
✅ Next pyramiding level
✅ Liquidation (capital reset) level
✅ Trend indicator
🛡️ Risk Management Features
1. Dynamic Capital Protection
Automatic exit when losses exceed a specified percentage of total capital
Complete loss scenario can be previewed through liquidation level calculation
2. Position Control System
Protection preventing multiple trades on the same bar
Double trigger prevention mechanism
Maximum position limit
3. Time Filter
Optional trading within a date range
Ideal for testing on historical data
📱 Information Panel
Information table always visible in the upper right corner of the strategy:
When Position is Open:
Number of active positions
Average cost
Current price
Total capital status
Capital loss percentage
Profit target
Stop loss level and distance
Next entry level
Liquidation level and distance
When No Position:
Market trend (Uptrend/Downtrend)
Ready to trade?
Reason for waiting
Initial position size
Target profit percentage
⚙️ Adjustable Parameters
Customizable by user:
💵 Capital Amount: Base amount to be used for each position
📊 Profit Target: Profit percentage at which to exit
🛑 Stop Loss: Usage status and maximum loss percentage
📅 Time Filter: Start and end dates for testing
💬 Trade Comments: Custom labels for each trade
📘 Understanding Leverage Effect
1. What is the Leverage Effect?
Although there's no real leverage in the spot market, when Capital Amount is increased, capital usage works like leverage:
Capital Amount 5% (1.0x): 100% capital usage with full pyramiding = All your money in trades
Capital Amount 10% (2.0x): 200% capital usage with full pyramiding = Attempting to open trades worth 2x your capital
Capital Amount 15% (3.0x): 300% capital usage with full pyramiding = Attempting to open trades worth 3x your capital
⚠️ IMPORTANT: If your capital runs out in the spot market, you cannot open new positions, therefore it's recommended to keep Capital Amount at 5% or below!
⚠️ Important Warnings
Pyramiding Risk: If price continues to decline, position grows and risk increases
Capital Requirements: Up to 10 positions can be added, requiring sufficient capital
Trend Dependency: Only works in uptrends
Backtest Results: Past performance is not a guarantee of future results
Real Trading Risks: Slippage, commissions, and market conditions can affect results
🎓 How to Use
Add the strategy to your chart
Adjust parameters according to your risk appetite
Examine past performance by backtesting
Optionally set up alerts to activate notifications
Test with paper trading first
This strategy is for educational purposes. Do your own research and only trade with capital you can afford to lose.
Disclaimer: This strategy is not financial advice. All investment decisions are the user's responsibility.
Happy trading! 📊
Ekoparaloji Strategy Crypto Ekoparaloji Crypto Strategy - User Information Document
📊 Strategy Overview
This strategy provides long-term position management in cryptocurrency markets using the averaging down (pyramiding) technique. The basic logic is to controllably grow positions as prices decline and exit when specific profit targets are reached.
🎯 Key Features
✅ Automatic Entry System
Market direction is determined using a proprietary trend identification algorithm
Trades are only opened in uptrends
Initial position opens automatically when specific conditions are met
📈 Pyramiding Mechanism
New positions are automatically added as price decreases
Up to 10 positions can be added maximum
Each addition occurs at predetermined decline levels
Risk management through dynamic position sizing
💰 Profit and Loss Management
Take Profit: All positions close when the specified percentage above average cost is reached
Stop Loss (Optional): Protects a specified percentage of total capital
A certain ratio of available capital is used in each trade
📊 Visual Tracking System
The following information is displayed in real-time on the chart:
✅ Average cost level
✅ Profit target level
✅ Stop loss level (if active)
✅ Next pyramiding level
✅ Liquidation (capital reset) level
✅ Trend indicator
🛡️ Risk Management Features
1. Dynamic Capital Protection
Automatic exit when losses exceed a specified percentage of total capital
Complete loss scenario can be previewed through liquidation level calculation
2. Position Control System
Protection preventing multiple trades on the same bar
Double trigger prevention mechanism
Maximum position limit
3. Time Filter
Optional trading within a date range
Ideal for testing on historical data
📱 Information Panel
Information table always visible in the upper right corner of the strategy:
When Position is Open:
Number of active positions
Average cost
Current price
Total capital status
Capital loss percentage
Profit target
Stop loss level and distance
Next entry level
Liquidation level and distance
When No Position:
Market trend (Uptrend/Downtrend)
Ready to trade?
Reason for waiting
Initial position size
Target profit percentage
⚙️ Adjustable Parameters
Customizable by user:
💵 Capital Amount: Base amount to be used for each position
📊 Profit Target: Profit percentage at which to exit
🛑 Stop Loss: Usage status and maximum loss percentage
📅 Time Filter: Start and end dates for testing
💬 Trade Comments: Custom labels for each trade
📘 Understanding Leverage Effect
1. What is the Leverage Effect?
Although there's no real leverage in the spot market, when Capital Amount is increased, capital usage works like leverage:
Capital Amount 5% (1.0x): 100% capital usage with full pyramiding = All your money in trades
Capital Amount 10% (2.0x): 200% capital usage with full pyramiding = Attempting to open trades worth 2x your capital
Capital Amount 15% (3.0x): 300% capital usage with full pyramiding = Attempting to open trades worth 3x your capital
⚠️ IMPORTANT: If your capital runs out in the spot market, you cannot open new positions, therefore it's recommended to keep Capital Amount at 5% or below!
⚠️ Important Warnings
Pyramiding Risk: If price continues to decline, position grows and risk increases
Capital Requirements: Up to 10 positions can be added, requiring sufficient capital
Trend Dependency: Only works in uptrends
Backtest Results: Past performance is not a guarantee of future results
Real Trading Risks: Slippage, commissions, and market conditions can affect results
🎓 How to Use
Add the strategy to your chart
Adjust parameters according to your risk appetite
Examine past performance by backtesting
Optionally set up alerts to activate notifications
Test with paper trading first
This strategy is for educational purposes. Do your own research and only trade with capital you can afford to lose.
Disclaimer: This strategy is not financial advice. All investment decisions are the user's responsibility.
MACD DEMA Strategy By HarveyStrategy Description – MACD + DEMA Quantitative Trading System
This strategy combines the Moving Average Convergence Divergence (MACD) indicator with a Double Exponential Moving Average (DEMA) trend filter to capture both momentum shifts and trend reversals with precision.
It’s designed for crypto perpetual futures, optimized for 1H–4H timeframes, and supports both long and short entries with configurable leverage and position sizing.
Core Logic
MACD Momentum Filter: Detects momentum acceleration and divergence between short- and long-term EMAs to confirm directional bias.
DEMA Trend Filter: Reduces lag compared to traditional EMAs, improving timing for entries and exits.
ATR-based Stop & Take-Profit: Dynamic risk control using ATR multipliers for stop-loss and target placement.
Dual-side Logic: Separate long/short conditions ensure symmetry and flexibility across market regimes.
Webhook Integration: Ready for automated execution via trading bots (e.g., Binance, Hyperliquid, Aster) using JSON-based alerts.
Key Features
Configurable parameters for DEMA, MACD, ATR, and leverage.
Optional higher-timeframe (HTF) trend confirmation.
Pyramiding control and adaptive volatility filters.
Partial take-profit and full-stop exit logic.
Detailed alert messages formatted for REST API automation.
Use Case
Ideal for traders seeking a balanced trend-following and momentum strategy, combining fast-moving averages with robust risk management.
Suitable for algorithmic execution or manual validation with clear visual cues on TradingView.
💡 Important:
To ensure correct signal generation, please set your chart’s Source to “MACD DEMA: signal.”
For optimal trend filtering, enable the HTF filter and set it to 240 (4H) to align lower-timeframe entries with higher-timeframe trends.
MACD DEMA Strategy for BinanceStrategy Description – MACD + DEMA Quantitative Trading System
This strategy combines the Moving Average Convergence Divergence (MACD) indicator with a Double Exponential Moving Average (DEMA) trend filter to capture both momentum shifts and trend reversals with precision.
It’s designed for crypto perpetual futures, optimized for 1H–4H timeframes, and supports both long and short entries with configurable leverage and position sizing.
Core Logic
MACD Momentum Filter: Detects momentum acceleration and divergence between short- and long-term EMAs to confirm directional bias.
DEMA Trend Filter: Reduces lag compared to traditional EMAs, improving timing for entries and exits.
ATR-based Stop & Take-Profit: Dynamic risk control using ATR multipliers for stop-loss and target placement.
Dual-side Logic: Separate long/short conditions ensure symmetry and flexibility across market regimes.
Webhook Integration: Ready for automated execution via trading bots (e.g., Binance, Hyperliquid, Aster) using JSON-based alerts.
Key Features
Configurable parameters for DEMA, MACD, ATR, and leverage.
Optional higher-timeframe (HTF) trend confirmation.
Pyramiding control and adaptive volatility filters.
Partial take-profit and full-stop exit logic.
Detailed alert messages formatted for REST API automation.
Use Case
Ideal for traders seeking a balanced trend-following and momentum strategy, combining fast-moving averages with robust risk management. Suitable for algorithmic execution or manual validation with clear visual cues on TradingView.
Traders Club RSI, EMA Strategy 🔻 Arun Gold 3H Power Indicator 🔻
Precision-Based Smart Sell System for Gold (XAU/USD)
💡 Overview
This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF).
It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals.
⚙️ Technical Foundation
The indicator uses multiple advanced confirmations:
📉 EMA Trend Filter → Confirms downtrend
💪 RSI Overbought Rejection → Momentum reversal signal
📊 MACD Bearish Cross → Confirms trend strength
🕯️ Bearish Candle Structure → Price action validation
When all conditions align, a clear 🔻 Sell Signal is plotted on the chart.
💎 Hidden Feature
This indicator includes a hidden feature that activates only when the correct market structure forms.
It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic.
📆 Recommended Settings
Symbol: XAU/USD (Gold)
Timeframe: 3-Hour (3H)
Market: Forex / Commodity
Mode: Sell-Only Confirmation Indicator
Performance: Best precision and consistency on 3H TF
📈 How to Use
Select XAU/USD on chart and set 3H timeframe.
Add the indicator to the chart.
Wait for the 🔻 Sell Signal and confirm the market structure after candle close.
Take entry according to your risk management.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
No system is 100% accurate — always backtest and demo trade before using in real trading.
💬 Credits
Developed by Ajay Sahu (India)
Based on Institutional & Smart Money Logic
Best results on 3H TF
Hidden Algorithm for XAU/USD traders
Arun R5.41🔻 Arun Gold 3H Power Indicator 🔻
Precision-Based Smart Sell System for Gold (XAU/USD)
💡 Overview
This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF).
It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals.
⚙️ Technical Foundation
The indicator uses multiple advanced confirmations:
📉 EMA Trend Filter → Confirms downtrend
💪 RSI Overbought Rejection → Momentum reversal signal
📊 MACD Bearish Cross → Confirms trend strength
🕯️ Bearish Candle Structure → Price action validation
When all conditions align, a clear 🔻 Sell Signal is plotted on the chart.
💎 Hidden Feature
This indicator includes a hidden feature that activates only when the correct market structure forms.
It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic.
📆 Recommended Settings
Symbol: XAU/USD (Gold)
Timeframe: 3-Hour (3H)
Market: Forex / Commodity
Mode: Sell-Only Confirmation Indicator
Performance: Best precision and consistency on 3H TF
📈 How to Use
Select XAU/USD on chart and set 3H timeframe.
Add the indicator to the chart.
Wait for the 🔻 Sell Signal and confirm the market structure after candle close.
Take entry according to your risk management.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
No system is 100% accurate — always backtest and demo trade before using in real trading.
💬 Credits
Developed by Ajay Sahu (India)
Based on Institutional & Smart Money Logic
Best results on 3H TF
Hidden Algorithm for XAU/USD traders
Ajay R5.41🔻 Ajay Gold 3H Sell Power Indicator 🔻
Precision-Based Smart Sell System for Gold (XAU/USD)
💡 Overview
This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF).
It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals.
⚙️ Technical Foundation
The indicator uses multiple advanced confirmations:
📉 EMA Trend Filter → Confirms downtrend
💪 RSI Overbought Rejection → Momentum reversal signal
📊 MACD Bearish Cross → Confirms trend strength
🕯️ Bearish Candle Structure → Price action validation
When all conditions align, a clear 🔻 Sell Signal is plotted on the chart.
💎 Hidden Feature
This indicator includes a hidden feature that activates only when the correct market structure forms.
It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic.
📆 Recommended Settings
Symbol: XAU/USD (Gold)
Timeframe: 3-Hour (3H)
Market: Forex / Commodity
Mode: Sell-Only Confirmation Indicator
Performance: Best precision and consistency on 3H TF
📈 How to Use
Select XAU/USD on chart and set 3H timeframe.
Add the indicator to the chart.
Wait for the 🔻 Sell Signal and confirm the market structure after candle close.
Take entry according to your risk management.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
No system is 100% accurate — always backtest and demo trade before using in real trading.
💬 Credits
Developed by Ajay Sahu (India)
Based on Institutional & Smart Money Logic
Best results on 3H TF
Hidden Algorithm for XAU/USD traders
Ajay R5.41🔻 Ajay Gold 3H Power Indicator 🔻
Precision-Based Smart Sell System for Gold (XAU/USD)
💡 Overview
This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF).
It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals.
⚙️ Technical Foundation
The indicator uses multiple advanced confirmations:
📉 EMA Trend Filter → Confirms downtrend
💪 RSI Overbought Rejection → Momentum reversal signal
📊 MACD Bearish Cross → Confirms trend strength
🕯️ Bearish Candle Structure → Price action validation
When all conditions align, a clear 🔻 Sell Signal is plotted on the chart.
💎 Hidden Feature
This indicator includes a hidden feature that activates only when the correct market structure forms.
It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic.
📆 Recommended Settings
Symbol: XAU/USD (Gold)
Timeframe: 3-Hour (3H)
Market: Forex / Commodity
Mode: Sell-Only Confirmation Indicator
Performance: Best precision and consistency on 3H TF
📈 How to Use
Select XAU/USD on chart and set 3H timeframe.
Add the indicator to the chart.
Wait for the 🔻 Sell Signal and confirm the market structure after candle close.
Take entry according to your risk management.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
No system is 100% accurate — always backtest and demo trade before using in real trading.
💬 Credits
Developed by Ajay Sahu (India)
Based on Institutional & Smart Money Logic
Best results on 3H TF
Hidden Algorithm for XAU/USD traders
Nemesis Strategy MLWinning That's all I know
Years of research been done to this strategy It's based on algorithm that detects where the markets are going Works on crypto this strategy his excellent indicators and it can generate a lot of money if you know what you are doing and depending on the fees of the exchanges as well So be smart and be kind God bless you all
Kz GC1! ORBStrategy that trades breakouts on GC1! futures on the 5min timeframe. It also works on MGC1! for lower drawdown and to manage Apex and Top Step accounts with the lower risk.
Risk Disclaimer:
Past results as well as strategy tester reports do not indicate future performance. Guarantees do not exist in trading. By using this strategy you risk losing all your money.
Important:
It trades all days that markets are open. Set times may be seen on settings. Trades multiple times a day sometimes.
It works on the 5 and 15min timeframe only. Results are better on 5min timeframe.
The settings are optimized already for GC1! on the 5min timeframe.
How it works:
Every trading day it measures the range of the first 15min candle of pre-selected hours. As soon as price closes above or below on the 15min timeframe, it will trade the breakout targeting a set risk to reward ratio. SL on the opposite side of the range.
Settings:
Hourly Trading Hours: These are the times that worked best for this strategy. All boxes should be checked for best results. Excluded times were when it performed bad which is why those times have been left out.
ORB Formation Period: This setting determines on which timeframe candle has to close outside the opening range box in order to take a trade. It's set to 15min by default because this is what worked by far the best
Entry Type: Entries are immediate instead of waiting for a pull back to enter on a limit order.
Limit Orders: If enabled, the strategy will place a pending order x points from the current price, instead of a market order. Immediate orders are enabled by default for a better performance. Important: It doesn't actually place a limit order. The strategy will just wait for a pullback and then enter with a market order. It's more like a hidden limit order.
Limit Order Offset Points: If you have limit orders enabled, this setting determines how many points from the current price the limit order will be placed.
FVG Detection Type: How fast it detects the fair value gaps. Standard detection over immediate had better performance
Risk Type: You can chose either between Fixed USD Amount, Risk per Trade in % or Fixed Contract Size. By default it's set to fixed contract size.
Risk Amount (USD or Contracts): This setting is to set how many USD or how many contracts you want to risk per trade. Make sure to check which risk type you have selected before you choose the risk amount.
Take Profit Multiplier: This is simply the total SL size in points multiplied by x.
Example: If you put 2, you get a 2:1 Risk to Reward Ratio. By Default it's set to 2.5 because this gave the best results in backtests.
Stop Loss Padding: This is simply the buffer in points that is added to the SL for safety reasons. If you have it on 0, the SL will be at the exact price of the opposite side of the range. By default it's set to 5 because this is what delivered the best results in backtests.
Stop Loss Placement: This determines where the stop loss gets placed for the order. It has been set to ORB Range by default as this delivered the best results.
Max Trades Per Hour: This allows the user to decide how many trades are taken an hour. 1 is been set to default for best results
Visual Settings: Check boxes to show orb range, FVG's, Entry points, and trade visualization boxes.
Backtest Settings:
For the backtest the commissions were set to 1.29USD per contract and .35USD for micros which is the highest amount Tradovate charges Margin was not accounted for because typically on prop accounts you can use way more contracts than you need for the extremely low max drawdown. Margin would be important on personal accounts but even there typically it's not an issue at all especially because this strategy runs on the 15min timeframe so it won't use a lot of contracts anyways.
Why the source code is hidden:
The source code is hidden because I invested a lot of time and money into developing this strategy and optimizing it with paid 3rd party software.
Long‑only Swing/ScalpThis is a basic scalper stategy for algos or crypto bots, tested on BNB, not the best backtest but you can tweak and get better results. Take profit at 1% and Sl at 2% , adjust those settings first to see different back test resutls.
TradeMastersAlgoOur strategy is a long only algorithm that has produced repeatable positive results in both back testing and live testing. The code is our proprietary IP. Users may have a 30 free trial to experiment with our strategy.
Results are not guaranteed.
This strategy was created for automated day trading a fully funded margin account. Please exercise caution and discipline when using any strategy. We've had the most positive results with heavy diversification (40 tickers trading 5% equity each).
Ticker selection, timeframe, and chart type ( we use standard candles ) are up to the user.
We encourage you to keep your own method to your self to prevent the dilution of your strategy.
Extremum Range MA Crossover Strategy1. Principle of Work & Strategy Logic ⚙️📈
Main idea: The strategy tries to catch the moment of a breakout from a price consolidation range (flat) and the start of a new trend. It combines two key elements:
Moving Average (MA) 📉: Acts as a dynamic support/resistance level and trend filter.
Range Extremes (Range High/Low) 🔺🔻: Define the borders of the recent price channel or consolidation.
The strategy does not attempt to catch absolute tops and bottoms. Instead, it enters an already formed move after the breakout, expecting continuation.
Type: Trend-following, momentum-based.
Timeframes: Works on different TFs (H1, H4, D), but best suited for H4 and higher, where breakouts are more meaningful.
2. Justification of Indicators & Settings ⚙️
A. Moving Average (MA) 📊
Why used: Core of the strategy. It smooths price fluctuations and helps define the trend. The price (via extremes) must cross the MA → signals a potential trend shift or strengthening.
Parameters:
maLength = 20: Default length (≈ one trading month, 20-21 days). Good balance between sensitivity & smoothing.
Lower TF → reduce (10–14).
Higher TF → increase (50).
maSource: Defines price source (default = Close). Alternatives (HL2, HLC3) → smoother, less noisy MA.
maType: Default = EMA (Exponential MA).
Why EMA? Faster reaction to recent price changes vs SMA → useful for breakout strategies.
Other options:
SMA 🟦 – classic, slowest.
WMA 🟨 – weights recent data stronger.
HMA 🟩 – near-zero lag, but “nervous,” more false signals.
DEMA/TEMA 🟧 – even faster & more sensitive than EMA.
VWMA 🔊 – volume-weighted.
ZLEMA ⏱ – reduced lag.
👉 Choice = tradeoff between speed of reaction & false signals.
B. Range Extremes (Previous High/Low) 📏
Why used: Define borders of recent trading range.
prevHigh = local resistance.
prevLow = local support.
Break of these levels on close = trigger.
Parameters:
lookbackPeriod = 5: Searches for highest high / lowest low of last 5 candles. Very recent range.
Higher value (10–20) → wider, stronger ranges but rarer signals.
3. Entry & Exit Rules 🎯
Long signals (BUY) 🟢📈
Condition (longCondition): Previous Low crosses MA from below upwards.
→ Price bounced from the bottom & strong enough to push range border above MA.
Execution: Auto-close short (if any) → open long.
Short signals (SELL) 🔴📉
Condition (shortCondition): Previous High crosses MA from above downwards.
→ Price rejected from the top, upper border failed above MA.
Execution: Auto-close long (if any) → open short.
Exit conditions 🚪
Exit Long (exitLongCondition): Close below prevLow.
→ Uptrend likely ended, range shifts down.
Exit Short (exitShortCondition): Close above prevHigh.
→ Downtrend likely ended, range shifts up.
⚠️ Important: Exit = only on candle close beyond extremes (not just wick).
4. Trading Settings ⚒️
overlay = true → indicators shown on chart.
initial_capital = 10000 💵.
default_qty_type = strategy.cash, default_qty_value = 100 → trades fixed $100 per order (not lots). Can switch to % of equity.
commission_type = strategy.commission.percent, commission_value = 0.1 → default broker fee = 0.1%. Adjust for your broker!
slippage = 3 → slippage = 3 ticks. Adjust to asset liquidity.
currency = USD.
margin_long = 100, margin_short = 100 → no leverage (100% margin).
5. Visualization on Chart 📊
The strategy draws 3 lines:
🔵 MA line (thickness 2).
🔴 Previous High (last N candles).
🟢 Previous Low (last N candles).
Also: entry/exit arrows & equity curve shown in backtest.
Disclaimer ⚠️📌
Risk Warning: This description & code are for educational purposes only. Not financial advice. Trading (Forex, Stocks, Crypto) carries high risk and may lead to full capital loss. You trade at your own risk.
Testing: Always backtest & demo test first. Past results ≠ future profits.
Responsibility: Author of this strategy & description is not responsible for your trading decisions or losses.
BSL/SSL Sweep + FVG Strategy Jobin (c) The New York ATM Model is a structured intraday strategy designed to capture algorithmic stop-hunts and reversals during the New York session open. It focuses on liquidity sweeps—either Buy-Side or Sell-Side—followed by a confirmation using Fair Value Gaps (FVGs).
My Backtest Module### 📊 Universal Backtest Module - Pro Structure
**A Fully Customizable Strategy Framework for Advanced Backtesting & Signal Analysis**
This powerful Pine Script strategy is designed as a **universal testing module** for traders and developers who want to evaluate custom trading logic across multiple conditions, timeframes, and risk parameters — all within a single, flexible structure.
> ⚠️ **Note:** This script is intended for **educational and backtesting purposes only**. It does **not** provide financial advice, nor does it guarantee profits. Always test strategies thoroughly before applying them to live markets.
---
### 🔧 Key Features
✅ **Multi-Source Entry Signals**
Combine up to two independent buy/sell signals using flexible logic:
- **OR Logic**: Trigger on any signal (edge-based).
- **AND Logic (Latched)**: Requires both signals at any point (flip-flop style).
- **AND No Latch**: Both signals must be active simultaneously.
✅ **Dynamic Trade Direction Control**
Choose between:
- Long & Short (Both)
- Long Only
- Short Only
With optional **close-on-opposite-signal** and **wait-for-opposite-reentry** logic.
✅ **Precision Timing Filters**
- Date range filtering (start/end dates)
- Intraday session control (supports up to 3 custom sessions)
- Visual session shading for clarity
✅ **Advanced Risk Management**
- Multiple Stop Loss types:
- Fixed Points / Percent
- ATR-based (adjustable multiplier)
- Swing-based (automatically detects pivots)
- External SL source
- Dynamic position sizing:
- Fixed lot
- % of equity risk (with max fallback)
✅ **Smart Take Profit Options**
- Fixed Points, Percent, RR Ratio, ATR, Fibonacci extensions
- Support for **external TP levels** (user-defined sources)
- Optional **multiple partial exits** with customizable size distribution
- Fibonacci TP levels (1.0, 1.618, 2.618, 4.236) based on SL distance
✅ **Flexible Exit Tools**
- Breakeven stop activation after TP1 hit
- Internal swing-based trailing stop
- External trailing stop (custom source)
- Max holding time (auto-close after X candles)
- Custom close conditions via user-defined logic
- Close & reverse functionality
✅ **Visual Clarity & Feedback**
- Clear visual markers for Buy/Sell signals
- Real-time SL, Entry, and TP lines with color-coded risk/reward zones
- On-chart TP level labels showing prices and allocation percentages
- Session background highlighting
- Trade statistics summary label
---
### 🛠️ Ideal For:
- Testing new indicator combinations
- Validating entry/exit logic under various market filters
- Comparing signal fusion methods (OR vs AND)
- Simulating professional-grade risk management rules
- Educational demonstrations in algorithmic trading
---
### ⚠️ Important Notes
- This is a **backtesting tool**, not a live trading bot.
- Past performance is **not indicative of future results**.
- Strategy performance depends entirely on the quality of input signals.
- Always validate results across multiple assets and timeframes.
- Use in conjunction with sound money management principles.
---
### 📌 How to Use
1. Attach the script to your chart.
2. Configure **Buy/Sell Signal Sources** (e.g., RSI crossovers, moving averages, etc.)
3. Set your preferred **trade direction, session, and date filters**
4. Define **stop loss and take profit rules**
5. Adjust position sizing and exit behavior
6. Run the backtest and analyze results in the **Strategy Tester tab**
💡 *Tip: Combine with other indicators by referencing their output values as signal sources.*
---
### ❌ Disclaimer
This script is shared for **informational and educational purposes only**. By using it, you agree that:
- The author is **not responsible** for any financial losses.
- Trading involves significant risk; only risk capital should be used.
- You are solely responsible for your trading decisions.
🚫 **This script does not promote get-rich-quick schemes, guaranteed profits, or unverified performance claims.**
---
🔁 **Version:** 5 (Pine Script v5)
📦 **Category:** Strategy
📈 **Overlay:** Yes
🧪 **Purpose:** Backtesting, Signal Validation, Risk Modeling
---
✅ **Safe for Public Sharing**
✔ Complies with TradingView’s community standards
✔ No misleading performance claims
✔ No automated trading promises
✔ No copyrighted or plagiarized content
---
> 💬 *"Knowledge is power — test wisely, trade responsibly."*
---
Let me know if you'd like a **short version** for the script's header comment or a **public post summary** for the TradingView feed!
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes
EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions.
Strategy Overview
This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes.
Key Features
Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives.
Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold.
Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals.
Three Exit Modes:
Reverse Signal: Exit trades when a new, opposite entry signal occurs.
ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss.
Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds.
Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels.
Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight.
How It Works
Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met.
Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss.
Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions.
Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios.
Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization.
Customization & Usage
Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence).
Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments.
Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets.
Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring.
Who Should Use This Strategy?
Trend Followers seeking to ride strong moves with multiple exit options.
Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis.
Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas.
Getting Started
Apply the script to your chart and review default settings.
Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired.
Backtest on multiple instruments and timeframes to evaluate performance.
Optimize filters, exit rules, and risk parameters for your preferred trading style.
Monitor with the real-time info panel and trade alerts.
Disclaimer
This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital.
— Happy Trading —
Feel free to adapt, share, and contribute to this open-source strategy!
BRT T3 for BTC 1h [STRATEGY]## 📊 BRT T3 Adaptive Strategy for BTC 1H
STRATEGY DESCRIPTION
Professional trading strategy based on the adaptive T3 (Tillson T3) indicator with dynamic length controlled by the Relative Strength Index (RSI) . The strategy is specifically designed for Bitcoin trading on the hourly timeframe and includes a comprehensive filter system to minimize false signals.
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🔥 UNIQUE CODE FEATURES
1. RSI-Adaptive Architecture:
• Innovative Approach: Unlike standard MA strategies with fixed periods, our code dynamically adjusts the moving average length based on RSI
• Smart Formula: len = minLen + (maxLen - minLen) * (1 - RSI/100) - automatically accelerates response in extreme zones
• Result: Strategy adapts to market conditions without manual reconfiguration
2. Modified Ichimoku Cloud:
• Unique Calculation: Instead of classic high/low, uses ATR-based method
• Dynamic Levels: Cloud is built based on volatility, not fixed periods
• Advantage: More accurate trend determination in highly volatile cryptocurrency markets
3. Hybrid Signal System:
• Dual-mode Generation: Switch between classic MA crossovers and volatility band breakouts
• Multi-stage Confirmation: Optional signal verification across N forward bars
• Effect: 40-60% reduction in false signals compared to simple MA strategies
4. All-in-One Solution:
• 8 MA Types in One Code: The only strategy on TradingView with complete implementation of T3, EMA, SMA, WMA, VWMA, HMA, RMA, DEMA
• Custom Functions: All MAs calculated through custom functions supporting series int
• Versatility: One code replaces 8 different strategies
5. Intelligent Filtering:
Combination of 4 independent filters:
├── Volume Filter (dynamic multiplier)
├── Trend Filter (adaptive period)
├── ATR Filter (volatility)
└── Ichimoku Filter (cloud trend)
• Unique Logic: Each filter can work independently or in combination
• Master Switch: Single control for all filters
6. Advanced Risk Management:
• Smart Stops: SL/TP levels are stored in variables and not recalculated on every bar
• Slippage Protection: Checks both close and high/low for stop triggers
• Visualization: Dynamic display of levels only for active positions
7. Performance Optimization:
• Efficient Loops: Minimized calculations through intermediate result storage
• Conditional Visualization: Element rendering only when necessary
• Clean Code: Structured organization with clear logical block separation
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💎 TECHNICAL INNOVATIONS
Adaptation Algorithm (exclusive development):
// Dynamic length based on RSI
rsi_scale = 1.0 - rsi / 100.0
len_adaptive = minLen + (maxLen - minLen) * rsi_scale
ATR-based Ichimoku (unique modification):
// Instead of classic (highest + lowest) / 2
// Using ATR for dynamic levels
upper := close < upper ? min(hl2 + atr*mult, upper ) : hl2 + atr*mult
lower := close > lower ? max(hl2 - atr*mult, lower ) : hl2 - atr*mult
Multi-MA Architecture (complete implementation):
• Each MA type has its own optimized function
• Support for series int for dynamic length
• Unified selection interface via switch statement
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🎯 KEY FEATURES
• Adaptive System: Moving average length automatically adjusts based on RSI, providing quick response in trending movements and stability in sideways markets
• 8 Moving Average Types: T3, EMA, SMA, WMA, VWMA, HMA, RMA, DEMA - ability to choose the optimal type for different market conditions
• Multi-level Filtering:
- Volume Filter - signal confirmation with increased activity
- Trend Filter - trading in the direction of the main trend
- ATR Filter - accounting for market volatility
- Ichimoku Cloud - additional trend direction confirmation
• Professional Risk Management: Customizable stop-loss and take-profit levels
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⚙️ HOW IT WORKS
1. Signal Generation:
• Original Mode: Classic MA crossover signals with lagged version
• Band Break Mode: Volatility band breakouts (based on standard deviation)
2. RSI Adaptation:
• High RSI (overbought) → uses short MA length for quick response
• Low RSI (oversold) → uses long MA for noise smoothing
• Adaptation range is configured by Min/Max length parameters
3. Filter System:
• Each filter can be enabled/disabled independently
• Signal is generated only when passing all active filters
• Ichimoku filter blocks counter-trend trades
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📈 STRATEGY PARAMETERS
Main Settings:
• Strategy Type: Long Only / Short Only / Both
• Data Source: Close, Open, High, Low, HL2, HLC3, OHLC4
RSI Settings:
• RSI Length: Calculation period (default 14)
• RSI Smoothing: Smoothing to reduce noise
T3/MA Settings:
• Min/Max Length: Adaptive length range (5-50)
• Volume Factor: T3 smoothing coefficient (0.7)
• MA Type: Moving average type selection
Filters:
• Volume Filter: Volume multiplier (1.5x average)
• Trend Filter: Trend MA period (200)
• ATR Filter: Minimum volatility for entry
• Ichimoku Filter: Cloud for trend determination
Risk Management:
• Stop Loss: Percentage from entry price (1.2%)
• Take Profit: Percentage from entry price (5.9%)
• Position Size: 50,000 USDT (effective leverage 5x)
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💡 USAGE RECOMMENDATIONS
Optimal Conditions:
• Timeframe: 1H (developed and optimized)
• Instrument: BTC/USDT and other liquid cryptocurrencies
• Market Conditions: Trending and moderately volatile markets
Customize to Your Style:
1. Conservative: Increase signal confirmation period, enable all filters
2. Aggressive: Reduce filters, use Band Break mode
3. Scalping: Decrease Min/Max length, disable trend filter
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📊 VISUALIZATION
Strategy displays:
• Main MA Line - changes color depending on direction
• Lag Line - for visualizing crossover moment
• Volatility Bands - upper and lower boundaries
• Trend MA - orange line (200 periods)
• SL/TP Levels - red and green lines for open positions
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🔔 ALERTS
Strategy supports alert configuration for:
• Long position entry signals
• Short position entry signals
• Position exit signals
• Ichimoku line crossings
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⚠️ RISK WARNING
IMPORTANT NOTICE: Trading in financial markets involves substantial risk of capital loss. Past performance presented in this strategy is based solely on historical data and under no circumstances constitutes a guarantee of future returns.
The strategy author is not responsible for:
• Any direct or indirect financial losses resulting from the use of this strategy
• Trading decisions made based on strategy signals
• Interpretation of backtesting results as a forecast of future performance
This strategy is provided exclusively for educational and research purposes. Backtesting results are affected by numerous factors including but not limited to: slippage, spread, commissions, market liquidity, and technical failures.
Before using the strategy in live trading:
• Conduct your own testing on a demo account
• Ensure understanding of all parameters and logic
• Only use funds you can afford to lose
• Consider consulting with a qualified financial advisor
DISCLAIMER: By using this strategy, you acknowledge and accept all risks associated with financial market trading and confirm that the author does not provide investment advice and bears no fiduciary responsibility to users.
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🛠 TECHNICAL SUPPORT
For questions about setup and optimization:
• Leave comments under the publication
• Follow strategy updates
• Study the code for deep understanding of logic
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📝 VERSION AND UPDATES
Version: 1.0.0
Pine Script: v6
Last Updated: 2025
Changelog:
• Added support for 8 MA types
• Integrated Ichimoku Cloud filter
• Optimized risk management system
• Improved signal visualization
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© 2025 BRT Trading Systems
Strategy is protected by copyright. Commercial use without author's permission is prohibited.
