Supertrend AT v1.0BINANCE:BTCUSDT.P
Overview:
This is a fully automated entry strategy based on Supertrend indicator trend shifts. It dynamically adjusts trade size according to your capital and predefined risk per trade (RPT) and reward-to-risk ratio (RR).
How it works:
LONG entry: When Supertrend flips from downtrend to uptrend.
SHORT entry: When Supertrend flips from uptrend to downtrend.
Position size is automatically calculated so that potential loss equals equity × RPT, including commission.
Take-profit and stop-loss are calculated using RR and commission, ensuring precise risk-reward alignment.
Key Features:
Supertrend-based entry signals
Automatic position sizing and target/stop setting
Supports long/short toggles
Works with exchange-specific decimal precision
Guide embedded in chart
Note:
Be sure to set commission and decimal places properly in the input and settings tab to match your exchange for accurate signal generation.
Indicadores e estratégias
SMA + Range Breakout StrategyMA + Range Breakout Strategy
This strategy is designed for intraday traders who want to combine trend filtering with structured breakout logic, targeting breakouts beyond the first hour's range only when confirmed by broader trend direction.
🔍 Concept and Originality
This strategy merges two well-established concepts in technical trading:
Trend Filter Using Moving Averages
The strategy uses a short-term (50-period) and long-term (200-period) Simple Moving Average (SMA) to define market trend. Long trades are only considered when the short SMA is above the long SMA (indicating an uptrend), and vice versa for shorts.
Opening Range Breakout (ORB) Logic
The first hour after market open (customizable time window) is used to define a daily high and low range. The strategy then waits for price to break above or below this range — but only after the range window has closed, reducing false breakouts during consolidation.
The originality of this strategy lies in how it tightly integrates time-based range logic with directional bias from SMAs to filter out non-directional breakouts, helping avoid whipsaws in choppy markets.
⚙️ How It Works
Range Calculation: Captures the high and low between user-defined start and end times (default: 09:15 to 10:15).
Trend Confirmation: Uses 50/200 SMAs to determine directional bias.
Entry Logic:
Go long only if in uptrend and price breaks above the range high.
Go short only if in downtrend and price breaks below the range low.
Exit Logic:
Uses a fixed risk:reward ratio (default 1.5:1).
Stop-loss is placed at the opposite end of the range; take-profit is calculated accordingly.
All parameters are fully customizable.
📊 Strategy Settings and Assumptions
Default Account Size: 100,000 units (can be changed by the user)
Risk per Trade: 100% of equity used per position by default (users should adjust this lower, e.g., 1-5%, for realistic backtesting)
Slippage & Commissions: Set to 0 by default; users should input realistic values for live-like performance
Sample Size: This strategy performs best on high-volume instruments (indices, forex, or liquid stocks) and on intraday charts like 5–15 minutes, generating hundreds of trades over a year
📌 Recommendations for Use
Use on 5m or 15m timeframes for intraday setups.
Best applied on assets with strong trending tendencies, like index futures or currency pairs.
Adjust the rangeStart and rangeEnd times according to your market's open.
Add slippage and commission settings in the Strategy Properties for more realistic simulation.
Multi-Pivot Strategy with TP/SLMulti-Pivot Strategy with TP/SL and Dynamic Selection
This strategy allows traders to dynamically choose between four major pivot point calculation methods—Traditional, Camarilla, Fibonacci, and Woodie—to adapt to different trading styles and market conditions. Each method generates support/resistance levels used for decision-making. The script implements a simple yet effective breakout/reversion approach based on price crossing key pivot levels.
🔍 How It Works
Pivot Selection
Traders can select the pivot point type from:
Traditional: Classic formula using (H+L+C)/3.
Camarilla: Intraday levels based on mean reversion.
Fibonacci: Levels derived using Fibonacci ratios.
Woodie: Emphasizes open price more than close.
Signal Logic
Buy: Triggered when price crosses above S1.
Sell: Triggered when price crosses below R1.
These signals assume breakout or reversal behavior depending on support/resistance breaks.
Risk Management
Configurable Stop-Loss and Take-Profit in %.
By default, risks 1.5% SL and targets 3% TP per trade.
Trade size is capped to 10% of equity per position, ensuring realistic exposure.
📊 Backtest Guidelines
The strategy uses a daily pivot source, providing context even on lower intraday charts.
Trade entries are simple to avoid overfitting and yield transparent signal behavior.
Default settings follow reasonable risk exposure and allow traders to validate performance under different conditions.
The script is designed to generate a statistically meaningful sample size (ideally over 100+ trades).
🎯 Use Case
Ideal for:
Day traders using intraday charts
Swing traders looking for structured support/resistance zones
Traders exploring the impact of different pivot styles on market behavior
The strategy offers both breakout and bounce entries, helping users experiment with directional bias and optimize risk-reward ratios.
⚙️ How to Use
Add the script to your chart.
Select your desired pivot type from the dropdown.
Adjust TP/SL based on your risk tolerance.
Optionally refine signals using additional indicators or filters.
Divergência MACD + Reversão (Comprado)This strategy is designed for long-only trades in cryptocurrency futures markets, operating exclusively on the buy side. It combines two key technical analysis concepts to identify high-probability reversal zones and trigger entries with confirmation.
1. Bullish Divergence (MACD Histogram):
The strategy looks for a bullish divergence between price and the MACD histogram. This occurs when:
Price makes a lower low (new swing low).
MACD histogram forms a higher low, indicating loss of downside momentum.
This divergence signals a potential trend reversal or bounce.
2. Reversal Confirmation (Trigger Candle):
To avoid premature entries, a confirmation candle is required:
A bullish candlestick must close above the high of the previous bar.
This candle serves as a "trigger" for the actual trade entry.
3. Entry Conditions:
A trade is entered only when both:
A valid bullish divergence is detected.
A bullish reversal candle is confirmed, or the MACD histogram crosses into positive territory.
📉 Risk Management
Stop Loss: Set just below the most recent swing low (the divergence low).
Take Profit: Calculated based on a customizable Risk:Reward ratio (e.g., 2:1).
Trailing Stop: Optional feature that follows price with a dynamic stop once the trade is in profit, helping to lock in gains.
Daily Bias on 5 minutes Reversal StrategyThis strategy combines higher-timeframe bias (daily and 1-hour) with 5-minute reversal signals to identify intraday trades. It aims to capitalize on false breakouts of the previous day's high/low, with strict risk management (Strict position sizing, max risk cap, and R:R enforcement), Avoids Over-Trading (1 trade/day rule prevents chasing), SL buffer adapts to volatility.
#1. This strategy does not utilize indicators. We will use the daily (D) price range and look for breakout attempts and rejections at the extreme points on the lower time frame (1h). If rejection occurs, it establishes our bias (bullish or bearish). For final confirmation, we move to the 5-minute timeframe to observe attempts to retest that daily price range. If significant rejection occurs again, that becomes our entry point.
#2. When rejection occurs, the 1-hour candle may form a new extreme point (low/high). Therefore, we will no longer use the daily price range as our trade exit point but instead the new extreme level established after the breakout attempt and price rejection.
To prevent premature trade exits, we also add an SL buffer using ATR while still capping the maximum acceptable risk per trade (as a percentage). Take profit is calculated using a risk-to-reward ratio, with a default setting of 1.5x.
#3. Key Input Parameters
a. Timeframes :
1. Daily TF ((Anchor for daily high/low (default: D).)
2. 1H Bias TF (Bias confirmation timeframe (default: 60))
3. Execution TF (Entry signal timeframe (default: 5, should match chart).
b. Trade Management
1. SL Buffer ATR Multiplier (Buffer beyond swing low/high (default: 6.0))
2. Min ATR Threshold (Minimum buffer size (default: 1.0))
3. Risk Reward Ratio (TP distance multiplier (default: 1.5))
4. Max Risk Allowed (Max risk % of entry (default: 3.0%))
Lookback Bars for SL Bars for swing low/high (default: 60))
c. Break Thresholds
1. 1H Candle Break Threshold (ATR multiplier for 1H break (default: 0.75))
2. 5M Candle Break Threshold (ATR multiplier for 5M break (default: 0.5))
Peak Trade
The Peak Trade strategy is currently designed for BTC 15-minute charts and will appeal to even larger clusters with future developments. Our strategy is created by combining multiple indicators and aims to provide its users with more secure transactions by tracking the USDT.D dominance in real time, which provides its originality.
Among the indicators or functions we use, there is primarily Tradingview's own function, Hull Moving Average (HMA) ZeroLagHMA . The intersections of the long or short lines we create with HMA are one of the functions that help us enter or exit the trade.
Another one is the Alpha Trend indicator, which is an indicator that processes sma, rsi and mfi data.
Likewise, USDT.D (usdt dominance in the market), which we follow in real time, listens to these functions and indicators and sends us reversible signals, ensuring the success rate and reliability of our transactions.
As we explained, our strategy aims to produce more efficient transactions for its users by using this data and is still being developed to produce more optimal signals for its users. And as we mentioned at the beginning, the currently recommended use is the BTC 15-minute chart.
Multi-Market Strategy | Trade BOOSTMulti-Market Adaptive Trend Strategy
Description:
This strategy is designed for active traders seeking consistent returns across various markets (cryptocurrency, forex, indices, and commodities) on the 15-minute timeframe. It employs a dynamic trend-following and volatility-adaptive approach, using a combination of price momentum, volatility measures, and market strength filters. The system aims to capture sustainable trends while avoiding periods of sideways or uncertain market conditions.
Key Features:
• Trend Identification:
The strategy determines the prevailing market trend using a dual-layer moving average system. Trades are only allowed in the direction of the dominant trend, minimizing counter-trend exposures.
• Momentum and Strength Filtering:
Momentum indicators are used to confirm the presence of market impetus before entering a trade. Additionally, a trend strength filter prevents entries during periods of low directional movement, helping to avoid whipsaws and false signals.
• Volatility-Adaptive Risk Management:
Position sizing, stop-loss, and take-profit levels are dynamically adjusted based on real-time volatility, as measured by a standard volatility indicator. This ensures risk is proportional to current market conditions, enhancing both capital protection and opportunity capture.
• Trigger-Based Entry:
Trades are triggered by price action confirming the trend and momentum bias—entries occur only after the market demonstrates intent to move beyond recent support/resistance or range levels, reducing the likelihood of premature or false breakouts.
• Smart Exit Logic:
Exits are governed by a combination of fixed and trailing mechanisms, allowing for profits to be maximized during strong trends while also locking in gains if reversals occur. All exit and risk management parameters are automatically scaled relative to the current volatility environment.
Trading Universe:
The strategy is optimized for multi-market application and has been tested on major crypto pairs, forex majors, global equity indices, and gold.
Performance Objective:
The system is engineered for moderate trade frequency and targets a robust monthly return with controlled drawdown, striving for a risk-reward ratio that supports sustainable capital growth over time.
Disclaimer:
This strategy is for informational and educational purposes only. Past performance is not indicative of future results. Always test on demo and assess fit for your risk profile before applying to live trading.
Swing sniper V1his strategy uses a combination of exponential moving averages (EMAs) and the Relative Strength Index (RSI) to determine entries and exits. It is enhanced by using recent swing points to set a more precise stop-loss (SL) level, with a fallback ATR-based method when swing points are not available. For taking profit (TP), the strategy exits based on an opposite EMA cross that is confirmed by the RSI. In short, the strategy goes long when the short EMA (EMA9) crosses above the long EMA (EMA50) with supporting RSI conditions, and goes short when the reverse happens. Exits occur only when there is evidence that the trend has reversed, as shown by a dual signal—both an EMA cross and an RSI divergence from the entry condition.
Entry Conditions
Long Entry: A long position is initiated when:
The 9‑EMA crosses above the 50‑EMA, signaling a potential bullish change.
The RSI is above 50, confirming that momentum is on the upswing.
Short Entry: A short position is initiated when:
The 9‑EMA crosses below the 50‑EMA, indicating a potential bearish move.
The RSI is below 50, confirming that momentum is on the downside.
These conditions ensure that trades are taken in the direction of both trend and momentum.
Entry Conditions
Long Entry: A long position is initiated when:
The 9‑EMA crosses above the 50‑EMA, signaling a potential bullish change.
The RSI is above 50, confirming that momentum is on the upswing.
Short Entry: A short position is initiated when:
The 9‑EMA crosses below the 50‑EMA, indicating a potential bearish move.
The RSI is below 50, confirming that momentum is on the downside.
These conditions ensure that trades are taken in the direction of both trend and momentum.
Exit Conditions (Take-Profit)
For taking profit, the strategy uses an opposite EMA cross in combination with an RSI filter:
Long Position Exit:
The strategy will close the long position when the 9‑EMA crosses below the 50‑EMA and the RSI falls below 50. This combination serves as a robust confirmation that bullish momentum is waning, and a trend reversal might be underway.
Short Position Exit:
A short position is closed when the 9‑EMA crosses above the 50‑EMA and the RSI rises above 50. This serves as confirmation of a possible bullish reversal after a downtrend.
Using these dual conditions (EMA cross and RSI confirmation) helps avoid premature exits and filters out false signals.
Supertrend Strategy Optimized by GUNJAN🧠 Overview
This script is a Supertrend-based strategy, optimized specifically for short time frames (e.g., 1–15 minutes). It combines Average True Range (ATR) volatility filtering with directional price action logic to define dynamic trailing stop levels that flip trend direction efficiently.
Unlike basic mashups, this version enhances Supertrend by:
Supporting both SMA and RMA ATR calculations (toggleable)
Enabling precise control over ATR period and multiplier
Integrating backtesting logic with configurable stop-loss and take-profit
Providing visual trend zones, alerts, and trade markers
⚙️ Strategy Logic
Trend Flip Logic:
An uptrend is confirmed when price closes above the prior lower band.
A downtrend is confirmed when price closes below the prior upper band.
ATR Bands:
Bands are calculated using either SMA or RMA of the True Range.
The multiplier expands/shrinks the band based on recent volatility.
Signal Conditions:
A buy signal is generated when a downtrend flips to an uptrend.
A sell signal is generated when an uptrend flips to a downtrend.
Trade Execution:
Entry is triggered on trend flips.
Exits use fixed take-profit and stop-loss percentages, adjustable via inputs.
📊 Strategy Defaults
Account Size: 100% equity used per trade (can be adjusted in settings)
Stop Loss: 1%
Take Profit: 3.0%
ATR Period: 14.0
ATR Multiplier: 2.0
Commission/Slippage: Configure manually based on broker
⚠️ Default settings risk ~1.5% of equity per trade and target ~3%. This keeps position sizing within sustainable limits, consistent with responsible risk management guidelines.
📈 Use Case
This Supertrend strategy is ideal for:
Scalpers or short-term traders on lower timeframes
Volatile markets where momentum quickly shifts (e.g., crypto, indices)
Traders who prefer trend-following with defined risk
🔔 Alerts Included
Buy Signal
Sell Signal
Trend Direction Change
Use these to integrate with alerts, automation, or webhook-based trade systems.
High/Low Pivot StrategyThis script is a trading strategy designed to identify and trade based on pivot high and pivot low levels. It allows for both long and short trades and includes stop loss and take profit levels based on fixed points. The strategy operates on a user-defined pivot range and visualizes trade signals, stop loss, and take profit levels on the chart.
kadunagra@gmail.com for XRPUSDT.P time:1hr 📌 Strategy Name: `kadunagra@ | XRPUSDT.P 1H Strategy`
📬 Contact: kadunagra@gmail.com
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🔐 Description:
This “Long” strategy is exclusively designed to work on XRPUSDT.P (1-hour chart only). It ensures no liquidation, no repaint, and supports real-time trade handling. Optimized for high-frequency entry logic with advanced capital management.
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💼 Services Offered:
* 🔁 Account automation via private trading bot — *50 USDT/Month*
* 🛠️ Custom strategy development — Convert your ideas into live Pine Script strategies
* 📲 Signal access & setup guidance — Available on request
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📧 For access, automation, or development services, contact: kadunagra@gmail.com
kadunagra@gmail.com for SOLUSDT.P time:1hr 📌 Strategy Name: `kadunagra@ | SOLUSDT.P 1H Strategy`
📬 Contact: kadunagra@gmail.com
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🔐 Description:
This “Long” strategy is exclusively designed to work on SOLUSDT.P (1-hour chart only). It ensures no liquidation, no repaint, and supports real-time trade handling. Optimized for high-frequency entry logic with advanced capital management.
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💼 Services Offered:
* 🔁 Account automation via private trading bot — *50 USDT/Month*
* 🛠️ Custom strategy development — Convert your ideas into live Pine Script strategies
* 📲 Signal access & setup guidance — Available on request
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📧 For access, automation, or development services, contact: kadunagra@gmail.com
kadunagra@gmail.com for BTCUSDT.P time:1hr 📌 Strategy Name: `kadunagra@ | BTCUSDT.P 1H Strategy`
📬 Contact: kadunagra@gmail.com
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🔐 Description:
This “Long” strategy is exclusively designed to work on BTCUSDT.P (1-hour chart only). It ensures no liquidation, no repaint, and supports real-time trade handling. Optimized for high-frequency entry logic with advanced capital management.
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💼 Services Offered:
* 🔁 Account automation via private trading bot — *50 USDT/Month*
* 🛠️ Custom strategy development — Convert your ideas into live Pine Script strategies
* 📲 Signal access & setup guidance — Available on request
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📧 For access, automation, or development services, contact: kadunagra@gmail.com
kadunagra@gmail.com for BCHUSDT.P time:1hr 📌 Strategy Name: `kadunagra@ | BCHUSDT.P 1H Strategy`
📬 Contact: kadunagra@gmail.com
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🔐 Description:
This “Long” strategy is exclusively designed to work on BCHUSDT.P (1-hour chart only). It ensures no liquidation, no repaint, and supports real-time trade handling. Optimized for high-frequency entry logic with advanced capital management.
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💼 Services Offered:
* 🔁 Account automation via private trading bot — *50 USDT/Month*
* 🛠️ Custom strategy development — Convert your ideas into live Pine Script strategies
* 📲 Signal access & setup guidance — Available on request
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📧 For access, automation, or development services, contact: kadunagra@gmail.com
Soda2I have been working on this script for a while now took me a little longer than expected to finish but it's a script that will help. It is highly modifiable in different timeframes however I only use it in the hour timeframe. It's free I created this for people who support me and would like help trading.
Features:
1. Smart Trend filter (200SMA): Ideally you want to stay out of choppy environments this helps with that.
2. Refined Moving Average Crossover System: highly customizable short vs long ma crossover to identify potential trend reversals or momentum shifts.
3. RSI Confirmation for Entries: Adds an extra layer of filtering using RSI thresholds to confirm momentum before entering a trade. This helps prevents entries during weak price moves, filters out noise from crossovers alone, and Customizable RSI thresholds for long and shorts.
4. Pivot Zone Reversal Detection: Detects when price is near recent pivot highs/lows, increasing the likelihood of catching actual reversal points. Buffer zone to avoid false signals, requires proximity to confirmed price turning points, and reduces chasing entries far form support/resistance.
5. Multi Layered Exit System: Each trade is protected with a take profit, stop loss, and an ATR-based trailing stop to lock in gains during trending moves. All of these are adjustable inputs.
6. Visual Cues and Signal Markers: You'll see entry signals, moving average crossovers, and detected pivot zones, please add RSI indicator as another visual cue.
Bollinger Band Breakout With Volatility StoplossDetailed Explanation of the Bollinger Band Breakout With Volatility Stoploss System
Introduction
The "Bollinger Band Breakout With Volatility Stoploss" system is a trading strategy designed to exploit price volatility in financial markets using the Bollinger Bands indicator, a widely recognized tool developed by John Bollinger. This system adapts the traditional Bollinger Bands framework into a Volatility Breakout strategy, focusing on capturing significant price movements by leveraging customized parameters and precise trading rules. The system operates exclusively on long positions, employs a daily timeframe, and incorporates dynamic risk management techniques to optimize trade outcomes while preserving capital.
System Parameters
The system modifies the standard Bollinger Bands configuration to suit its breakout methodology:
Standard Deviation (SD): Set to 1x, determining the width of the bands relative to the central moving average. This tighter setting enhances sensitivity to price movements, making the system responsive to smaller volatility shifts compared to the conventional 2x SD.
Period: A 30-day (1-month) lookback period is used to calculate the bands, providing a balance between capturing medium-term price trends and avoiding excessive noise from shorter timeframes.
Moving Average Type: The system uses an Exponential Moving Average (EMA) instead of the Simple Moving Average (SMA). The EMA places greater weight on recent price data, making it more responsive to current market conditions and better suited for detecting breakout opportunities in dynamic markets.
Core Concept
The Bollinger Band Breakout system is built on the principle of Volatility Breakout, which seeks to capitalize on significant price movements when the price breaks out of a defined volatility range. The Bollinger Bands, consisting of an EMA as the central line and two bands (Upper and Lower) calculated as the EMA plus or minus 1x SD, define this range. The system operates on a Daily Chart (D) timeframe, making it suitable for traders who prefer analyzing and executing trades based on daily price action. By focusing solely on Long Positions (buying low and selling high), the system avoids short-selling, aligning with strategies that capitalize on upward price momentum.
The core idea is to use the 1x SD multiplier over a 30-day period to establish a dynamic price range that reflects recent market volatility. Breakouts above the Upper Band signal potential buying opportunities, while penetrations below the Lower Band indicate exits, ensuring trades are aligned with significant price movements.
Trading Signals
The system generates clear entry and exit signals based on price interactions with the Bollinger Bands:
Buy Signal: A buy signal is triggered when the closing price of a daily candle exceeds the Upper Bollinger Band (EMA + 1x SD over 30 days). The trade is entered at the opening price of the subsequent candle, ensuring the breakout is confirmed by the close of the prior day. This approach minimizes false signals by waiting for a definitive breach of the volatility threshold.
Sell Signal: A sell signal occurs when the closing price falls below the Lower Bollinger Band (EMA - 1x SD over 30 days). The position is exited at the opening price of the next candle, allowing the trader to lock in profits or limit losses when the price reverses or loses momentum.
Risk Management
Risk management is a cornerstone of the system, ensuring capital preservation and disciplined trade execution:
Initial Stoploss: The stoploss is set at the Lower Bollinger Band of the candle that triggered the buy signal. This level acts as a volatility-based threshold, below which the trade is deemed invalid, prompting an immediate exit to protect capital. Traders have two options for implementing the stoploss:
Pending Stoploss: A predefined stoploss order placed at the Lower Band level.
Conditional Exit: Using the sell signal condition (price closing below the Lower Band) as the exit trigger, effectively aligning the stoploss with the system’s exit rules.
Position Sizing: The system employs Fixed Fractional Position Sizing with a risk per trade capped at 3% of the account balance. The position size is calculated based on the distance between the entry price and the Initial Stoploss, incorporating Volatility Position Sizing. This method adjusts the trade size according to the market’s volatility, ensuring that risk remains consistent across varying market conditions. Two options are available for managing capital:
Gear Up Option: Profits from previous trades are reinvested into the account’s capital, increasing the base for calculating the next position size. This compounding approach can amplify returns but also increases risk exposure.
Fixed Equity Option: Profits from previous trades are withdrawn, and only the remaining capital is used for calculating the next position size. This conservative approach prioritizes capital preservation by not compounding gains.
Trailing Stop: The system uses the Lower Bollinger Band as a dynamic trailing stop, which adjusts with price movements and volatility. This ensures that profits are protected during favorable trends while allowing the trade to remain open as long as the price stays above the Lower Band. The trailing stop aligns with the sell signal condition, maintaining consistency in the system’s exit strategy.
Supporting Indicators
The system incorporates two additional indicators to enhance market analysis and decision-making:
Bollinger Band Width (BBW): BBW measures the distance between the Upper and Lower Bollinger Bands relative to the EMA, serving as a proxy for market volatility.
A high BBW indicates significant price volatility, often associated with strong trends or large price movements, which may confirm the strength of a breakout.
A low BBW suggests low volatility, potentially signaling a period of consolidation or "squeeze" that could precede a breakout. This can help traders anticipate potential trade setups.
The BBW calculation uses the EMA to maintain consistency with the system’s core parameters.
Bollinger Band Ratio (BBR) or %B: BBR measures the price’s position relative to the Bollinger Bands, providing insight into market conditions.
BBR > 1: The price is above the Upper Band, indicating potential overbought conditions or strong upward momentum, which aligns with the system’s buy signal.
BBR < 0: The price is below the Lower Band, suggesting oversold conditions or downward momentum, corresponding to the sell signal or stoploss trigger.
BBR between 0 and 1: The price is within the bands, indicating a neutral state where no immediate action is required.
Like BBW, BBR is calculated using the EMA for consistency.
Backtesting and Implementation
To evaluate the system’s performance, traders can utilize the Backtest Parameter function, which allows for testing the strategy across user-defined time periods. This feature enables traders to assess the system’s effectiveness under various market conditions, optimize parameters, and refine their approach based on historical data.
Conclusion
The Bollinger Band Breakout With Volatility Stoploss system is a robust, volatility-driven trading strategy that combines the predictive power of Bollinger Bands with disciplined risk management. By focusing on long positions, using a 1x SD multiplier, and incorporating EMA-based calculations, the system is designed to capture significant price breakouts while minimizing risk through dynamic stoplosses and volatility-adjusted position sizing. The inclusion of BBW and BBR indicators provides additional context for assessing market conditions, enhancing the trader’s ability to make informed decisions. With its structured approach and backtesting capabilities, this system is well-suited for traders seeking a systematic, data-driven method to trade in volatile markets.
ATS Tokyo Opening Range Breakout Algo v9.1ATS Tokyo Opening Range Breakout Algo v9.1
This strategy is built for intraday breakout trading during the Tokyo session, leveraging a structured Opening Range (10:00–11:00 AM Sydney time) and a pre-determined directional bias. It is designed to take only one trade per day—long or short—if a breakout occurs beyond the range high or low and aligns with the day's bias.
Key Features:
Bias-Driven Trading: Accepts trades only if they match the user-defined daily directional bias (long, short, or neutral).
Opening Range Logic: Defines a fixed range, filters breakouts based on candle closes beyond this range, and applies a maximum range threshold.
VWAP Filter: Optional filter requiring price to be above or below VWAP to confirm directional alignment.
Date-Based Trade Scheduling: Supports a custom daily trade direction calendar, allowing precise historical strategy control.
Full Risk Management Suite:
Stop Loss, Take Profit, Trailing Stop, and BreakEven logic
Partial Take Profit system with customizable quantity and trigger
Session Management:
Trade entries allowed only within a defined window
Auto-exit all trades before the next Tokyo session (default 6:45 AM)
Backtesting Controls: Includes time-bound backtest ranges and day-of-week filters.
Chart Visuals: Optional display of OR range, trade entries/exits, SL/TP levels, and session markers.
This strategy is built for structured execution in the Tokyo session. It enforces a single trade per day based on predefined bias, manages all risk parameters, and supports both live and backtest environments with full control over time, filters, and trade conditions.
Dual TF Stochastic StrategyCore Strategy Components:
Uses two Stochastic oscillators (Primary and Reference)
Both use 15-second timeframe (15S)
Primary Stochastic settings:
K Length: 12
K Smoothing: 12
D Length: 12
Reference Stochastic settings:
K Length: 12
K Smoothing: 15
D Length: 30
Entry Logic:
Long Entries occur when:
Primary %K crosses over %D
AND either:
Reference %D is ≥ 50 or < 20
OR Primary %K is close to Reference %D (within 0.15)
AND price is above Moving Average (if MA filter enabled)
AND during regular market hours (9:30 AM - 4:00 PM ET)
Short Entries occur when:
Primary %K crosses under %D
AND either:
Within tolerance of Reference %D
OR specific crossunder conditions met
AND price is below Moving Average
AND during regular market hours
Exit Logic:
Time-based exits:
At 3:30 PM ET
End of regular market hours
Technical exits:
Long positions: When Primary %K crosses under Reference %D
Short positions: When Primary %K crosses over Reference %D and Reference %D > 20
Pattern Detection:
Higher Low Pattern:
Current crossover %K > Previous crossover %K
Bullish continuation pattern
Lower High Pattern:
Current crossunder %K < Previous crossunder %K
Bearish continuation pattern
Risk Management:
Price difference filters:
Maximum price difference: 0.1%
Minimum price difference for shorts: 0.1%
Reference %D tolerance: 0.1%
Close %K tolerance: 0.7%
Strengths:
Multiple confirmation layers (dual timeframes, MA filter)
Clear entry/exit rules
Pattern recognition for trend continuation
Time-based filters to avoid volatile periods
Comprehensive alert system
Potential Limitations:
Short timeframe (15S) may generate more false signals
Tight price difference filters might miss some opportunities
Relies heavily on Reference %D levels
No stop-loss implementation visible in the code
Suggested Improvements:
Add stop-loss mechanisms
Implement position sizing rules
Add volume confirmation
Consider adding RSI or other momentum filters
Add backtesting statistics tracking
Best Use Cases:
Day trading in liquid markets
Markets with clear trends
Time periods with normal volatility
When price action aligns with Stochastic signals
Risk Considerations:
High-frequency trading due to 15S timeframe
Multiple entries possible in short timeframes
No explicit risk management beyond entry/exit rules
Market hours limitation might miss opportunities
Dual TF Stochastic StrategyCore Strategy Components:
Uses two Stochastic oscillators (Primary and Reference)
Both use 15-second timeframe (15S)
Primary Stochastic settings:
K Length: 12
K Smoothing: 12
D Length: 12
Reference Stochastic settings:
K Length: 12
K Smoothing: 15
D Length: 30
Entry Logic:
Long Entries occur when:
Primary %K crosses over %D
AND either:
Reference %D is ≥ 50 or < 20
OR Primary %K is close to Reference %D (within 0.15)
AND price is above Moving Average (if MA filter enabled)
AND during regular market hours (9:30 AM - 4:00 PM ET)
Short Entries occur when:
Primary %K crosses under %D
AND either:
Within tolerance of Reference %D
OR specific crossunder conditions met
AND price is below Moving Average
AND during regular market hours
Exit Logic:
Time-based exits:
At 3:30 PM ET
End of regular market hours
Technical exits:
Long positions: When Primary %K crosses under Reference %D
Short positions: When Primary %K crosses over Reference %D and Reference %D > 20
Pattern Detection:
Higher Low Pattern:
Current crossover %K > Previous crossover %K
Bullish continuation pattern
Lower High Pattern:
Current crossunder %K < Previous crossunder %K
Bearish continuation pattern
Risk Management:
Price difference filters:
Maximum price difference: 0.1%
Minimum price difference for shorts: 0.1%
Reference %D tolerance: 0.1%
Close %K tolerance: 0.7%
Strengths:
Multiple confirmation layers (dual timeframes, MA filter)
Clear entry/exit rules
Pattern recognition for trend continuation
Time-based filters to avoid volatile periods
Comprehensive alert system
Potential Limitations:
Short timeframe (15S) may generate more false signals
Tight price difference filters might miss some opportunities
Relies heavily on Reference %D levels
No stop-loss implementation visible in the code
Suggested Improvements:
Add stop-loss mechanisms
Implement position sizing rules
Add volume confirmation
Consider adding RSI or other momentum filters
Add backtesting statistics tracking
Best Use Cases:
Day trading in liquid markets
Markets with clear trends
Time periods with normal volatility
When price action aligns with Stochastic signals
Risk Considerations:
High-frequency trading due to 15S timeframe
Multiple entries possible in short timeframes
No explicit risk management beyond entry/exit rules
Market hours limitation might miss opportunities
PhaiSinh_SMA & EMA_Ver1 [VNFlow]📈 PhaiSinh_SMA & EMA Strategy Ver1 — Adjusted Version
This is a futures trading strategy designed for the Vietnamese derivatives market, using a trend-following approach with SMA/EMA crossovers and session-aware risk management.
🔍 Core Indicators
SMA 70: Detects medium-term price direction.
EMA 12: Captures short-term momentum.
EMA 130: Acts as a long-term trend filter (visual reference).
🎯 Entry Conditions
Long Entry: EMA 12 crosses above SMA 70, price is above EMA 12.
Short Entry: EMA 12 crosses below SMA 70, price is below EMA 12.
Optional filters:
RSI: Prevents overbought/oversold trades.
HTF EMA Filter: Confirms trend direction using EMA 200 from a higher timeframe (default: 1 hour).
💼 Exit Strategy
Supports tick-based or percent-based Take Profit (TP) and Stop Loss (SL).
Includes Trailing Stop to lock in profits.
Automatically closes all positions a few minutes before the session ends (customizable time).
⚙️ Trading Configuration
Fixed position sizing.
Realistic slippage, commission, and backtesting assumptions.
Optimized for intraday trading and adaptable to Vietnamese futures session rules.
OCC Strategy R5.2 w/BOS+CHOCH (Non-Repainting)This trading strategy is like a smart assistant that helps decide when to buy or sell based on trends, momentum, and market structure. Here’s how it works in simple terms:
Trend Detection – Uses moving averages (like EMA or SMA) to spot if the market is going up or down.
Confirmation Filters – Checks extra indicators (RSI, RVI, volatility) to avoid bad trades in choppy or weak markets.
Break of Structure (BOS) – Looks for strong moves breaking past highs/lows to confirm a trend.
Change of Character (CHOCH) – Detects when the trend might be reversing to exit trades early.
Time-Based Rules – Only trades during active market hours (like London/NY sessions) if enabled.
Non-Repainting – All signals are based on past confirmed data, so they don’t change after the fact.
In short: It follows trends but double-checks with multiple tools to avoid fakeouts, and exits when the market behavior changes. Great for traders who want a rules-based system without guesswork!
SY_Quant_AI_YJStrategy Overview
Strategy Name: SY_Quant_AI_YJ
Description:
SY_Quant_AI_YJ is a trend-based automated trading strategy designed to help users identify market direction and execute entries and exits accordingly. It leverages a combination of market structure and volatility-based filters to manage positions with dynamic risk control.
This strategy is suitable for a variety of market conditions and is optimized for both uptrend and downtrend scenarios. It includes built-in mechanisms for stop-loss and take-profit alerts to assist in preserving capital and securing profits during favorable movements.
How It Works:
The strategy automatically detects directional bias and reacts accordingly.
Long and short entries are generated based on internal logic that evaluates trend consistency and momentum.
Stop-loss levels are dynamically calculated to cap downside risk, while take-profit alerts are triggered when profit thresholds are met.
Key Features:
Automatic trade signals for both bullish and bearish conditions.
Visual markers on the chart for entry and exit signals.
Risk management through adjustable loss limits and profit alerts.
Best For:
Trend-following swing traders
Automated trading system users
Traders seeking structured entries with predefined exit logic
Important Notes:
This strategy is not financial advice. Always backtest before using on a live account.
Leverage and market volatility may amplify both gains and losses.
Strategy alerts are passive reminders and do not constitute trading signals on their own.
Disclaimer:
This script is intended for educational and informational purposes only. Trading involves risk. Please trade responsibly and ensure you understand the mechanics of the strategy before live deployment.
Williams %R + MACD Swing StrategyStrategy Description: Williams %R + MACD + SMA Swing Strategy (1:2 Risk-Reward)
🔍 Originality and Usefulness
This strategy combines three complementary indicators — Williams %R, MACD, and a 14-period Simple Moving Average (SMA) — to identify high-probability swing trade setups with built-in risk management using a 1:2 risk-reward ratio.
The originality lies in the synergy of these components:
Williams %R identifies overbought/oversold zones, helping spot potential reversal points.
MACD confirms momentum direction via line crossovers, filtering out noise.
SMA (14) acts as a trend filter: long trades are only taken above the SMA, and short trades below it, to align with prevailing market direction.
The strategy avoids taking trades that are merely counter-trend, thus increasing the quality of entries. The 1:2 risk-reward model makes it easier to stay profitable even with a win rate below 50%.
📈 Strategy Results
Backtest Sample Size: Designed to produce a large number of trades when run on liquid markets (e.g., BTCUSD, AAPL, or EURUSD on the 1h–4h timeframe).
Risk Management: Uses a realistic fixed percentage risk per trade (default is 2% of entry price) with a take-profit set at 4% (2× risk), satisfying a sustainable R:R model.
Capital Sizing: The strategy is based on a realistic account size, with position sizing reflecting 10% of equity per trade (adjustable).
Slippage & Commission: Users are encouraged to input realistic slippage and broker commission under strategy settings.
Caution Warning: This strategy does not issue a warning and is intended for publication.
🧠 How the Strategy Works
Entry Criteria:
Long Entry: Triggered when Williams %R crosses above -80 (exiting oversold), MACD line crosses above its signal line, and the price is above the 14-period SMA.
Short Entry: Triggered when Williams %R crosses below -20 (exiting overbought), MACD line crosses below its signal line, and the price is below the 14-period SMA.
Exit Criteria:
The strategy uses a fixed stop loss (default: 2%) and a take profit at double the risk (4%) to maintain a consistent 1:2 R:R model.
Customization:
Inputs are provided to adjust the lengths of Williams %R, MACD components, SMA, and the risk-reward settings to fit different asset classes or timeframes.
🛠️ How to Use
Apply this strategy on trending markets across higher timeframes (1h–1d).
Adjust SL and TP depending on asset volatility.
Use the plotted indicators to visually confirm entry signals.
Pair with alerts for live trade notifications if converting into an alert-based script.
Crypto Swing Trading Strategy (1-5 Day)Crypto Swing Trading Strategy Overview
This Pine Script implements a comprehensive 1-5 day swing trading strategy designed specifically for cryptocurrencies like BITSTAMP:BTCUSD (BTC), COINBASE:ETHUSD (ETH), and COINBASE:XRPUSD (XRP).
Here's what makes this strategy effective:
Core Philosophy: "Trade With The Trend"
The strategy follows the fundamental principle of trend-following - only taking trades in the direction of the prevailing market trend to maximize probability of success.
Key Components:
🔍 Trend Identification
Uses 50-day and 200-day EMAs to determine market direction
Only goes long when 50 EMA > 200 EMA (uptrend)
Only goes short when 50 EMA < 200 EMA (downtrend)
⚡ Smart Entry Timing
Waits for pullbacks within the trend (price near 50 EMA)
Uses RSI to identify oversold conditions in uptrends (RSI < 45) or overbought conditions in downtrends (RSI > 70)
Enters when momentum confirms trend resumption (RSI crosses back)
🛡️ Advanced Risk Management
ATR-based stop losses that adapt to market volatility
Position sizing ensures consistent 1% risk per trade
Wider stops in volatile markets, tighter stops in calm markets
💰 Profit Optimization
Takes 50% profit at 2:1 reward-to-risk ratio
Trails remaining position with ATR-based stops
Lets winners run while protecting gains
Why It Works:
High Probability Setups: Only trades with the trend during pullbacks
Volatility Adaptive: ATR ensures stops aren't too tight or too wide
Emotion-Free: All rules are clearly defined for automated execution
Capital Preservation: Strong risk management prevents large losses
Best Used For:
4-hour timeframes on major cryptocurrencies - Such as BTC - ETH - XRP
Trending markets (avoid during sideways consolidation)
Traders who want systematic, rule-based approach
This strategy combines the reliability of trend-following with the precision of momentum indicators, creating a robust system for capturing crypto market swings while managing downside risk effectively.
