3Commas Multicoin Scalper LITE [SwissAlgo]
Introduction
Are you tired of tracking cryptocurrency charts and placing orders manually on your Exchange?
The 3Commas Multicoin Scalper LITE is an automated trading system designed to identify and execute potential trading setups on multiple cryptocurrencies ( simultaneously ) on your preferred Exchange (Binance, Bybit, OKX, Gate.io, Bitget) via 3Commas integration.
It analyzes price action, volume, momentum, volatility, and trend patterns across two categories of USDT Perpetual coins: the 'Top Major Coins' category (11 established cryptocurrencies) and your Custom Category (up to 10 coins of your choice).
The indicator sends real-time trading signals directly to your 3Commas bots for automated execution, identifying both trend-following and contrarian trading opportunities in all market conditions.
Trade automatically all coins of one or more selected categories:
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What it Does
The 3Commas Multicoin Scalper LITE is a technical analysis tool that monitors multiple cryptocurrency pairs simultaneously and connects with 3Commas for signal delivery and execution.
Here's how the strategy works:
🔶 Technical Analysis : Analyzes price action, volume, momentum, volatility, and trend patterns across USDT Perpetual Futures contracts simultaneously.
🔶 Pattern Detection : Identifies specific candle patterns and technical confluences that suggest potential trading setups across USDT.P contracts of the selected category.
🔶 Signal Generation : When technical criteria are met at bar close, the indicator creates deal-start signals for the relevant pairs.
🔶 3Commas Integration : Packages these signals and delivers them to 3Commas through TradingView alerts, allowing 3Commas bots to receive specific pair information ('Deal-Start' signals).
🔶 Category Management : Each TradingView alert monitors an entire category, allowing selective activation of different crypto categories.
🔶 Visual Feedback : Provides color-coded candles and backgrounds to visualize technical conditions, with optional pivot points and trend visualization.
Candle types
Signals
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Quick Start Guide
1. Setup 3Commas Bots : Configure two DCA bots in 3Commas (All USDT pairs) - one for LONG positions and one for SHORT positions.
2. Define Trading Parameters : Set your budget for each trade and adjust your preferred sensitivity within the indicator settings.
3. Create Category Alerts : Set up one TradingView alert for each crypto category you want to trade.
That's it! Once configured, the system automatically sends signals to your 3Commas bots when predefined trading setups are detected across coins in your selected/activated categories. The indicator scans all coins at bar close (for example, every hour on the 1H timeframe) and triggers trade execution only for those showing technical confluences.
Important : Consider your total capital when enabling categories. More details about the setup process are provided below (see paragraph "Detailed Setup & Configuration").
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Built-in Backtesting
The 3Commas Multicoin Scalper LITE includes backtesting visualization for each coin. When viewing any USDT Perpetual pair on your chart, you can visualize how the strategy would have performed historically on that specific asset.
Color-coded candles and signal markers show past trading setups, helping you evaluate which coins responded best to the strategy. This built-in backtesting capability can support your selection of assets/categories to trade before deploying real capital.
As backtesting results are hypothetical and do not guarantee future performance, your research and analysis are essential for selecting the crypto categories/coins to trade.
The default strategy settings are: Start Capital 1,000$, leverage 10X, Commissions 0.1% (average Taker Fee on Exchanges for average users), Order Amount 200$ for Longs/Shorts, Slippage 4
Example of backtesting view
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Key Features
🔶 Multi-Exchange Support : Compatible with BINANCE, BYBIT, BITGET, GATEIO, and OKX USDT Perpetual markets (USDT.P)
🔶 Category Options : Analyze cryptocurrencies in the Top Major Coins category or create your custom watchlist
🔶 Custom Category Option : Create your watchlist with up to 10 custom USDT Perpetual pairs
🔶 3Commas Integration : Seamlessly connects with 3Commas bots to automate trade entries and exits
🔶 Dual Strategy Approach : Identifies both "trend following" and "contrarian" potential setups
🔶 Confluence-Based Signals : Uses a combination of multiple technical factors - price spikes, price momentum, volume spikes, volume momentum, trend analysis, and volatility spikes - to generate potential trading setups
🔶 Risk Management : Adjustable sensitivity/risk levels, leverage settings, and budget allocation for each trade
🔶 Visual Indicators : Color-coded candles and trading signals provide visual feedback on market conditions
🔶 Trend Indication : Background colors showing ongoing uptrends/downtrends
🔶 Pivot Points & Daily Open : Optional display of pivot points and daily open price for additional context
🔶 Liquidity Analysis : Optional display of high/low liquidity timeframes throughout the trading week
🔶 Trade Control : Configurable limit for the maximum number of signals sent to 3Commas for execution (per bar close and category)
5 Available Exchanges
Pick coins/tokens and defined your Custom Category
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Methodology
The 3Commas Multicoin Scalper LITE utilizes a multi-faceted approach to identify potential trading setups:
1. Price Action Analysis : Detects abnormal price movements by comparing the current candle's range to historical averages and standard deviations, helping identify potential "pump and dump" scenarios or new-trends start
2. Price Momentum : Evaluates the relative strength of bullish vs. bearish price movements over time, indicating the build-up of buying or selling pressure.
3. Volume Analysis: Identifies unusual volume spikes by comparing current volume to historical averages, signaling strong market interest in a particular direction.
4. Volume Momentum : Measures the ratio of bullish to bearish volume, revealing the dominance of buyers or sellers over time.
5. Trend Analysis : Combines EMA slopes, RSI, and Stochastic RSI to determine overall trend direction and strength.
6. Volatility : Monitors the ATR (Average True Range) to detect periods of increased market volatility, which may indicate potential breakouts or reversals
7. Candle Wick Analysis : Evaluates upper and lower wick percentages to detect potential rejection patterns and reversals.
8. Pivot Point Analysis : Uses pivot points (PP, R1-R3, S1-S3) for identifying key support/resistance areas and potential breakout/breakdown levels.
9. Daily Open Reference: Analyzes price action relative to the daily open for potential setups related to price movement vs. the opening price
10. Market Timing/Liquidity : Evaluates high/low liquidity periods, specific days/times of heightened risk, and potential market manipulation timeframes.
11. Boost Factors : Applies additional weight to certain confluence patterns to adjust global scores
These factors are combined into a "Global Score" ranging from -1 to +1 , applied at bar close to the newly formed candles.
Scores above predefined thresholds (configurable via the Sensitivity Settings) indicate strong bullish or bearish conditions and trigger signals based on predefined patterns. The indicator then applies additional filters to generate specific "Trend Following" and "Contrarian" trading signals. The identified signals are packaged and sent to 3Commas for execution.
Pivot Points
Trend Background
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Who This Strategy Is For
The 3Commas Multicoin Scalper LITE may benefit:
Crypto Traders seeking to automate their trading across multiple coins simultaneously
3Commas Users looking to enhance their bot performance with technical signals
Busy Traders who want to monitor market opportunities without constant chart-watching
Multi-strategy traders interested in both trend-following and reversal trading approaches
Traders of Various Experience Levels from intermediate traders wanting to save time to advanced traders seeking to optimize their operations
Perpetual Futures Traders on major exchanges (Binance, Bybit, OKX, Gate.io, Bitget)
Swing and Scalp Traders seeking to identify short to medium-term profit opportunities
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Visual Indicators
The indicator provides visual feedback through:
1. Candlestick Colors :
* Lime: Strong bullish candle (High positive score)
* Blue: Moderate bullish candle (Medium positive score)
* Red: Strong bearish candle (High negative score)
* Purple: Moderate bearish candle (Medium negative score)
* Pale Green/Red: Mild bullish/bearish candle
2. Signal Markers :
* ↗: Trend following Long signal
* ↘: Trend following Short signal
* ⤴: Contrarian Long signal
* ⤵: Contrarian Short signal
3. Optional Elements :
* Pivot Points: Daily support/resistance levels (R1-R3, S1-S3, PP)
* Daily Open: Reference price level for the current trading day
* Trend Background: Color-coded background suggesting potential ongoing uptrend/downtrend
* Liquidity Highlighting: Background colors indicating typical high/low market liquidity periods
4. TradingView Strategy Plots and Backtesting Data : Standard performance metrics showing entry/exit points, equity curves, and trade statistics, based on the signals generated by the script.
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Detailed Setup & Configuration
The indicator features a user-friendly input panel organized in sequential steps to guide you through the complete setup process. Tooltips for each step provide additional information to help you understand the actions required to get the strategy running.
Informative tables provide additional details and instructions for critical setup steps such as 3Commas bot configuration and TradingView alert creation (to activate trading on specific categories).
1. Choose Exchange, Crypto Category & Sensitivity
* Select your USDT Perpetual Exchange (BINANCE, BYBIT, BITGET, GATEIO, or OKX) - i.e. the same Exchange connected in your 3Commas account
* Choose your preferred crypto category, or define your watchlist
* Choose from three sensitivity levels: Default, Aggressive, or Test Mode (test mode is designed to generate more signals, a potentially helpful feature when you are testing the indicator and alerts)
2. Setup 3Commas Bots and integrate them with the algo
* Create both LONG and SHORT DCA Bots in 3Commas
* Configure bots to accept signals for 'All USDT Pairs' with "TradingView Custom Signal" as deal start condition
* Enter your Bot IDs and Email Token in the indicator settings
* Set a maximum budget for LONG and SHORT trades
* Choose whether to allow LONG trades, SHORT trades, or both, according to your preference and market analysis
* Set maximum trades per bar/category (i.e. the max. number of simultaneous signals that the algo may send to your 3Commas bots for execution at every bar close - every hour if you set the 1H timeframe)
* Access the detailed setup guide table for step-by-step 3Commas configuration instructions
3Commas integration
3. Choose Visuals
* Toggle various optional visual elements to add to the chart: category metrics, fired alerts, coin metrics, daily open, pivot points
* Select a color theme: Dark or Light
4. Activate Trading via Alerts
* Create TradingView alerts for each category you want to trade
* Set alert condition to "3Commas Multicoin Scalper" with "Any alert() function call"
* Set the content of the message field to: {{Message}}, deleting the default content shown in this text field, to enable proper 3Commas integration (any other text than {{Message}}, would break the delivery trading signals from Tradingview to 3Commas)
* View the alerts setup instruction table for visual guidance on this critical step
Alerts
Fired Alerts (example at a single bar)
Fired Alerts (frequency)
Important Configuration Notes
Ensure that the TradingView chart's exchange matches your selected exchange in the indicator settings and your 3Commas bot settings.
You must configure the same leverage in both the script and your 3Commas bots
Your 3Commas bots must be configured for All USDT pairs
You must enter the exact Bot IDs and Email Token from 3Commas (these remain confidential - no one, including us, has access to them)
If you activate multiple categories without sufficient capital, 3Commas will display " insufficient funds " errors - align your available capital with the number of categories you activate (each deal will use the budget amount specified in user inputs)
You are free to set your Take Profit % / trailing on 3Commas
We recommend not to use DCA orders (i.e. set the number of DCA orders at zero)
Legend of symbols and plots on the chart
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FAQs
General Questions
❓ Q: What features are included in this indicator? A: This indicator provides access to the "Top Major Coins" category and a custom category option where you can define up to 10 pairs of your choice. It includes multi-exchange support, 3Commas integration, a dual strategy approach, visual indicators, trade controls, and comprehensive backtesting capabilities. The indicator is optimized to manage up to 2 trades per hour/category with leverage up to 10x and trade sizes up to 500 USDT - everything needed for traders looking to automate their crypto trading across multiple pairs simultaneously.
❓ Q: What is Global Score? A: The Global Score serves as a foundation for signal generation. When a candle's score exceeds certain thresholds (defined by your Risk Level setting), it becomes a candidate for signal generation. However, not all high-scoring candles generate trading signals - the indicator applies additional pattern recognition and contextual filters. For example, a strongly positive score (lime candle) in an established uptrend may trigger a "Trend Following" signal, while a strongly negative score (red candle) in a downtrend might generate a "Trend following Short" signal. Similarly, contrarian signals are generated when specific reversal patterns occur alongside appropriate Global Score values, often involving wick analysis and pivot point interactions. This multi-layer approach helps filter out false positives and identify higher-probability trading setups.
❓ Q: What's the difference between "Trend following" and "Contrarian" signals in the script? A: "Trend Following" signals follow the identified trends while "Contrarian" signals anticipate potential trend reversals.
❓ Q: Why don't I see any signals on my chart? A: Make sure you're viewing a USDT Perpetual pair from your selected exchange that belongs to the crypto category you've chosen to analyze. For example, if you've selected the "Top Major Coins" category with Binance as your exchange, you need to view a chart of one of those specific pairs (like BINANCE:BTCUSDT.P) to see signals. If you switch exchanges, for example from Binance to Bybit, you need to pull a Bybit pair on the chart to see backtesting data and signals.
❓ Q: Does this indicator guarantee profits? A: No. Trading cryptocurrencies involves significant risk, and past performance is not indicative of future results. This indicator is a tool to help you identify potential trading setups, but it does not and cannot guarantee profits.
❓ Q: Does this indicator repaint or use lookahead bias? A: No. All trading signals generated by this indicator are based only on completed price data and do not repaint. The system is designed to ensure that backtesting results reflect as closely as possible what you should experience in live trading.
While reference levels like pivot points are kept stable throughout the day using lookahead on, the actual buy and sell signals are calculated using only historical data (lookahead off) that would have been available at that moment in time. This ensures reliability and consistency between backtesting and real-time trading performance.
Technical Setup
❓ Q: What exchanges are supported? A: The strategy supports BINANCE, BYBIT, BITGET, GATEIO, and OKX USDT Perpetual markets (i.e. all the Exchanges you can connect to your 3Commas account for USDT Perpetual trading, excluding Coinbase Perpetual that offers USDC pairs, instead of USDT).
❓ Q: What timeframe should I use? A: The indicator is optimized for the 1-hour (1H) timeframe but may run on any timeframe.
❓ Q: How many coins can I trade at once? A: You can trade all coins within the selected category. You can activate categories by setting up alerts.
❓ Q: How many alerts do I need to set up? A: You need to set up one alert for each crypto category you want to trade. We recommend starting with one category, testing the results carefully, monitoring performance daily, and perhaps activating additional categories in a second stage.
❓ Q: Are there any specific risk management features built into the indicator? A: Yes, the indicator includes risk management features: adjustable maximum trades per hour/category, the ability to enable/disable long or short signals depending on market conditions, customizable trade size for both long and short positions, and different sensitivity/risk level settings.
❓ Q: What happens if 3Commas can't execute a signal? A: If 3Commas cannot execute a signal (due to insufficient funds, bot offline, etc.), the trade will be skipped. The indicator will continue sending signals for other valid setups, but it doesn't retry failed signals.
❓ Q: Can I run this indicator on multiple charts at once? A: Yes, but it's not necessary. The indicator analyzes all coins in your selected categories regardless of which chart you apply it to. For optimal resource usage, apply it to a single chart of a USDT Perpetual pair from your selected exchange. To stop trading a category, simply delete the alert created for that category.
❓ Q: How frequently does the indicator scan for new signals? A: The indicator scans all coins in your selected categories at the close of each bar (every hour if you selected the 1H timeframe).
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⚠️
Disclaimer
This indicator is for informational and educational purposes only and does not constitute financial advice. Trading cryptocurrencies involves significant risk, including the potential loss of all invested capital, and past performance is not indicative of future results.
Always conduct your own thorough research (DYOR) and understand the risks involved before making any trading decisions. Trading with leverage significantly amplifies both potential profits and losses - exercise extreme caution when using leverage and never risk more than you can afford to lose.
The Bot ID and Email Token information are transmitted directly from TradingView to 3Commas via secure connections. No third party or entity will ever have access to this data (including the Author). Do not share your 3Commas credentials with anyone.
This indicator is not affiliated with, endorsed by, or sponsored by TradingView or 3Commas.
Search in scripts for "high low"
IronBot v4IronBot v4 – Trading Strategy Overview
1. Quick Context
IronBot v4 is a trading strategy designed for users who want a simple yet effective approach to reading the markets. It uses a combination of Fibonacci retracement levels, custom logic triggers, and innovative modules (EMA validation, Iron Impulse Shield and Iron Auto Volume Detector) to identify potential entry and exit points, strengthening the strategy’s detection of sudden market volatility or shifts in trading volume.
2. Theoretical Details
Fibonacci Analysis
The script identifies recent market highs and lows, then calculates key Fibonacci levels (high- and low-based). These levels can help confirm potential reversals or trends.
EMA Option
When enabled, the exponential moving average (EMA) offers additional validation for trade entries. If the current price remains above a certain EMA threshold, long positions may be favored; conversely, if it stays below the EMA, short positions may be initiated.
IIS (Iron Impulse Shield)
IIS helps to filter out risky trades by measuring recent price shocks or surges. If an extreme movement is detected, the strategy may temporarily disable longs or shorts to avoid false signals.
IAVD (Iron Auto Volume Detector)
This functionality automatically detects the average market volume over a defined period (regardless of the market, since it relies on real data). When entering a position, it ensures that overall volume is high enough to confirm a genuinely active, robust market. By providing an additional filter, it can strengthen the decision-making process whenever the market’s participation level is in question.
Panel
IronBot v4 displays a real-time backtest panel that summarizes the selected configuration (including the current pair, analysis window, enabled filters), as well as showing net profit, applicable exchange fees, country taxes, and the final net balance. This gives traders an immediate overview of strategy performance and risk metrics.
What Pinescript Adds Visually
The script plots:
Fibonacci levels (highlighting potential reversal zones)
Trend lines indicating bullish (green) or bearish (red) lean
Optional EMA line
Optional Fibonacci forecast lines for anticipating future moves
Automatic labeling of entry, take-profit, and stop-loss levels, indicating the profit percentage of each trade.
3. Explanation of Inputs
The strategy exposes multiple inputs that can be toggled or configured by the user:
Analysis Window : Dictates how many bars to consider for high/low calculations and the fib retracement thresholds.
TRADES
Display TP/SL: For displaying Take profits and Stop loss.
Display Forecast: When enabled, this feature calculates and projects possible future Fibonacci retracements using historical data, helping traders anticipate potential upcoming trade setups.
Leverage: Only used for the Panel and not for trades. Lets you amplify your position size; higher leverage increases potential gains but also heightens risk. TradingView strategy is using properties for doing this.
Exchange Maker Fees & Exchange Taker Fees: Only used for the Panel and not for trades. Define the percentage cost applied by your exchange for maker and taker trades, respectively. These fees are accounted for in final profit calculations of the Panel.
Country Tax: Only used for the Panel and not for trades. Specifies a tax percentage to be deducted from net profits.
STOP LOSS and TAKE PROFITS
Stop-Loss & Take-Profit Parameters: Controls the percentage distances at which the strategy will exit positions. Additionally, you can configure up to four distinct take-profit levels (TP1 through TP4). Each level should be higher target than the previous one, and you can assign a specific percentage of the total position to close at each TP, ensuring the sum equals 100%. A break-even feature is also available when multiple TPs are used.
EMA
EMA (Exponential Moving Average) Option: When enabled, the strategy opens long trades only if the current price is above the specified EMA length, and opens short trades only if it is below that threshold.
PANELS
Show Panel: For displaying the backtest integrated panel.
IRON IMPULSE SHIELD (IIS)
IIS (Iron Impulse Shield) Option: When enabled, IIS continuously monitors recent price volatility depending on the analysis window set. If the market experiences an extreme surge or drop beyond a specified threshold, IIS temporarily blocks new long or short positions.
IRON AUTO VOLUME DETECTOR (IAVD)
IAVD (Iron Auto Volume Detector) Option: When enabled, it continuously measures the average market volume over a special period, irrespective of the specific trading pair. This ensures that IronBot v4 focuses on markets with robust participation, reducing the likelihood of entering trades during low-liquidity conditions.
By changing these values, IronBot v4 reacts differently to market structure and risk management requirements. Stop-loss and take-profit levels will adjust accordingly, while advanced filters (like EMA or IIS) influence when trades can open.
4. TradingView Strategy Properties
IronBot v4 uses the built-in TradingView “strategy” functionality. In particular:
Order Placement: The code calls strategy.entry() and strategy.close() for direct orders, ensuring signals are sent immediately (no limit orders are used). This helps connect with exchange signal bots for automated execution.
Initial Capital: The code uses initial capital defined in properties for calculating Net balance in the integrated panel.
On bar close: This strategy fill orders on bar close.
Pyramiding: This strategy can take only 1 successive trade in the same direction
Be careful to configure your leverage input depending on your strategy properties.
5. Visualization
5. Purpose & Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always confirm your own risk tolerance and consult a financial professional before placing live trades. Trading leveraged products can involve substantial risk of loss.
Fibonacci ATR Fusion - Strategy [presentTrading]Open-script again! This time is also an ATR-related strategy. Enjoy! :)
If you have any questions, let me know, and I'll help make this as effective as possible.
█ Introduction and How It Is Different
The Fibonacci ATR Fusion Strategy is an advanced trading approach that uniquely integrates Fibonacci-based weighted averages with the Average True Range (ATR) to identify and capitalize on significant market trends.
Unlike traditional strategies that rely on single indicators or static parameters, this method combines multiple timeframes and dynamic volatility measurements to enhance precision and adaptability. Additionally, it features a 4-step Take Profit (TP) mechanism, allowing for systematic profit-taking at various levels, which optimizes both risk management and return potential in long and short market positions.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
The Fibonacci ATR Fusion Strategy utilizes a combination of technical indicators and weighted averages to determine optimal entry and exit points. Below is a breakdown of its key components and operational logic.
🔶 1. Enhanced True Range Calculation
The strategy begins by calculating the True Range (TR) to measure market volatility accurately.
TR = max(High - Low, abs(High - Previous Close), abs(Low - Previous Close))
High and Low: Highest and lowest prices of the current trading period.
Previous Close: Closing price of the preceding trading period.
max: Selects the largest value among the three calculations to account for gaps and limit movements.
🔶 2. Buying Pressure (BP) Calculation
Buying Pressure (BP) quantifies the extent to which buyers are driving the price upwards within a period.
BP = Close - True Low
Close: Current period's closing price.
True Low: The lower boundary determined in the True Range calculation.
🔶 3. Ratio Calculation for Different Periods
To assess the strength of buying pressure relative to volatility, the strategy calculates a ratio over various Fibonacci-based timeframes.
Ratio = 100 * (Sum of BP over n periods) / (Sum of TR over n periods)
n: Length of the period (e.g., 8, 13, 21, 34, 55).
Sum of BP: Cumulative Buying Pressure over n periods.
Sum of TR: Cumulative True Range over n periods.
This ratio normalizes buying pressure, making it comparable across different timeframes.
🔶 4. Weighted Average Calculation
The strategy employs a weighted average of ratios from multiple Fibonacci-based periods to smooth out signals and enhance trend detection.
Weighted Avg = (w1 * Ratio_p1 + w2 * Ratio_p2 + w3 * Ratio_p3 + w4 * Ratio_p4 + Ratio_p5) / (w1 + w2 + w3 + w4 + 1)
w1, w2, w3, w4: Weights assigned to each ratio period.
Ratio_p1 to Ratio_p5: Ratios calculated for periods p1 to p5 (e.g., 8, 13, 21, 34, 55).
This weighted approach emphasizes shorter periods more heavily, capturing recent market dynamics while still considering longer-term trends.
🔶 5. Simple Moving Average (SMA) of Weighted Average
To further smooth the weighted average and reduce noise, a Simple Moving Average (SMA) is applied.
Weighted Avg SMA = SMA(Weighted Avg, m)
- m: SMA period (e.g., 3).
This smoothed line serves as the primary signal generator for trade entries and exits.
🔶 6. Trading Condition Thresholds
The strategy defines specific threshold values to determine optimal entry and exit points based on crossovers and crossunders of the SMA.
Long Condition = Crossover(Weighted Avg SMA, Long Entry Threshold)
Short Condition = Crossunder(Weighted Avg SMA, Short Entry Threshold)
Long Exit = Crossunder(Weighted Avg SMA, Long Exit Threshold)
Short Exit = Crossover(Weighted Avg SMA, Short Exit Threshold)
Long Entry Threshold (T_LE): Level at which a long position is triggered.
Short Entry Threshold (T_SE): Level at which a short position is triggered.
Long Exit Threshold (T_LX): Level at which a long position is exited.
Short Exit Threshold (T_SX): Level at which a short position is exited.
These conditions ensure that trades are only executed when clear trends are identified, enhancing the strategy's reliability.
Previous local performance
🔶 7. ATR-Based Take Profit Mechanism
When enabled, the strategy employs a 4-step Take Profit system to systematically secure profits as the trade moves in the desired direction.
TP Price_1 Long = Entry Price + (TP1ATR * ATR Value)
TP Price_2 Long = Entry Price + (TP2ATR * ATR Value)
TP Price_3 Long = Entry Price + (TP3ATR * ATR Value)
TP Price_1 Short = Entry Price - (TP1ATR * ATR Value)
TP Price_2 Short = Entry Price - (TP2ATR * ATR Value)
TP Price_3 Short = Entry Price - (TP3ATR * ATR Value)
- ATR Value: Calculated using ATR over a specified period (e.g., 14).
- TPxATR: User-defined multipliers for each take profit level.
- TPx_percent: Percentage of the position to exit at each TP level.
This multi-tiered exit strategy allows for partial position closures, optimizing profit capture while maintaining exposure to potential further gains.
█ Trade Direction
The Fibonacci ATR Fusion Strategy is designed to operate in both long and short market conditions, providing flexibility to traders in varying market environments.
Long Trades: Initiated when the SMA of the weighted average crosses above the Long Entry Threshold (T_LE), indicating strong upward momentum.
Short Trades: Initiated when the SMA of the weighted average crosses below the Short Entry Threshold (T_SE), signaling robust downward momentum.
Additionally, the strategy can be configured to trade exclusively in one direction—Long, Short, or Both—based on the trader’s preference and market analysis.
█ Usage
Implementing the Fibonacci ATR Fusion Strategy involves several steps to ensure it aligns with your trading objectives and market conditions.
1. Configure Strategy Parameters:
- Trading Direction: Choose between Long, Short, or Both based on your market outlook.
- Trading Condition Thresholds: Set the Long Entry, Short Entry, Long Exit, and Short Exit thresholds to define when to enter and exit trades.
2. Set Take Profit Levels (if enabled):
- ATR Multipliers: Define how many ATRs away from the entry price each take profit level is set.
- Take Profit Percentages: Allocate what percentage of the position to close at each TP level.
3. Apply to Desired Chart:
- Add the strategy to the chart of the asset you wish to trade.
- Observe the plotted Fibonacci ATR and SMA Fibonacci ATR indicators for visual confirmation.
4. Monitor and Adjust:
- Regularly review the strategy’s performance through backtesting.
- Adjust the input parameters based on historical performance and changing market dynamics.
5. Risk Management:
- Ensure that the sum of take profit percentages does not exceed 100% to avoid over-closing positions.
- Utilize the ATR-based TP levels to adapt to varying market volatilities, maintaining a balanced risk-reward ratio.
█ Default Settings
Understanding the default settings is crucial for optimizing the Fibonacci ATR Fusion Strategy's performance. Here's a precise and simple overview of the key parameters and their effects:
🔶 Key Parameters and Their Effects
1. Trading Direction (`tradingDirection`)
- Default: Both
- Effect: Determines whether the strategy takes both long and short positions or restricts to one direction. Selecting Both allows maximum flexibility, while Long or Short can be used for directional bias.
2. Trading Condition Thresholds
Long Entry (long_entry_threshold = 58.0): Higher values reduce false positives but may miss trades.
Short Entry (short_entry_threshold = 42.0): Lower values capture early short trends but may increase false signals.
Long Exit (long_exit_threshold = 42.0): Exits long positions early, securing profits but potentially cutting trends short.
Short Exit (short_exit_threshold = 58.0): Delays short exits to capture favorable movements, avoiding premature exits.
3. Take Profit Configuration (`useTakeProfit` = false)
- Effect: When enabled, the strategy employs a 4-step TP mechanism to secure profits at multiple levels. By default, it is disabled to allow users to opt-in based on their trading style.
4. ATR-Based Take Profit Multipliers
TP1 (tp1ATR = 3.0): Sets the first TP at 3 ATRs for initial profit capture.
TP2 (tp2ATR = 8.0): Targets larger trends, though less likely to be reached.
TP3 (tp3ATR = 14.0): Optimizes for extreme price moves, seldom triggered.
5. Take Profit Percentages
TP Level 1 (tp1_percent = 12%): Secures 12% at the first TP.
TP Level 2 (tp2_percent = 12%): Exits another 12% at the second TP.
TP Level 3 (tp3_percent = 12%): Closes an additional 12% at the third TP.
6. Weighted Average Parameters
Ratio Periods: Fibonacci-based intervals (8, 13, 21, 34, 55) balance responsiveness.
Weights: Emphasizes recent data for timely responses to market trends.
SMA Period (weighted_avg_sma_period = 3): Smoothens data with minimal lag, balancing noise reduction and responsiveness.
7. ATR Period (`atrPeriod` = 14)
Effect: Sets the ATR calculation length, impacting TP sensitivity to volatility.
🔶 Impact on Performance
- Sensitivity and Responsiveness:
- Shorter Ratio Periods and Higher Weights: Make the weighted average more responsive to recent price changes, allowing quicker trade entries and exits but increasing the likelihood of false signals.
- Longer Ratio Periods and Lower Weights: Provide smoother signals with fewer false positives but may delay trade entries, potentially missing out on significant price moves.
- Profit Taking:
- ATR Multipliers: Higher multipliers set take profit levels further away, targeting larger price movements but reducing the probability of reaching these levels.
- Fixed Percentages: Allocating equal percentages at each TP level ensures consistent profit realization and risk management, preventing overexposure.
- Trade Direction Control:
- Selecting Specific Directions: Restricting trades to Long or Short can align the strategy with market trends or personal biases, potentially enhancing performance in trending markets.
- Risk Management:
- Take Profit Percentages: Dividing the position into smaller percentages at multiple TP levels helps lock in profits progressively, reducing risk and allowing the remaining position to ride further trends.
- Market Adaptability:
- Weighted Averages and ATR: By combining multiple timeframes and adjusting to volatility, the strategy adapts to different market conditions, maintaining effectiveness across various asset classes and timeframes.
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If you want to know more about ATR, can also check "SuperATR 7-Step Profit".
Enjoy trading.
SuperATR 7-Step Profit - Strategy [presentTrading] Long time no see!
█ Introduction and How It Is Different
The SuperATR 7-Step Profit Strategy is a multi-layered trading approach that integrates adaptive Average True Range (ATR) calculations with momentum-based trend detection. What sets this strategy apart is its sophisticated 7-step take-profit mechanism, which combines four ATR-based exit levels and three fixed percentage levels. This hybrid approach allows traders to dynamically adjust to market volatility while systematically capturing profits in both long and short market positions.
Traditional trading strategies often rely on static indicators or single-layered exit strategies, which may not adapt well to changing market conditions. The SuperATR 7-Step Profit Strategy addresses this limitation by:
- Using Adaptive ATR: Enhances the standard ATR by making it responsive to current market momentum.
- Incorporating Momentum-Based Trend Detection: Identifies stronger trends with higher probability of continuation.
- Employing a Multi-Step Take-Profit System: Allows for gradual profit-taking at predetermined levels, optimizing returns while minimizing risk.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
The strategy revolves around detecting strong market trends and capitalizing on them using an adaptive ATR and momentum indicators. Below is a detailed breakdown of each component of the strategy.
🔶 1. True Range Calculation with Enhanced Volatility Detection
The True Range (TR) measures market volatility by considering the most significant price movements. The enhanced TR is calculated as:
TR = Max
Where:
High and Low are the current bar's high and low prices.
Previous Close is the closing price of the previous bar.
Abs denotes the absolute value.
Max selects the maximum value among the three calculations.
🔶 2. Momentum Factor Calculation
To make the ATR adaptive, the strategy incorporates a Momentum Factor (MF), which adjusts the ATR based on recent price movements.
Momentum = Close - Close
Stdev_Close = Standard Deviation of Close over n periods
Normalized_Momentum = Momentum / Stdev_Close (if Stdev_Close ≠ 0)
Momentum_Factor = Abs(Normalized_Momentum)
Where:
Close is the current closing price.
n is the momentum_period, a user-defined input (default is 7).
Standard Deviation measures the dispersion of closing prices over n periods.
Abs ensures the momentum factor is always positive.
🔶 3. Adaptive ATR Calculation
The Adaptive ATR (AATR) adjusts the traditional ATR based on the Momentum Factor, making it more responsive during volatile periods and smoother during consolidation.
Short_ATR = SMA(True Range, short_period)
Long_ATR = SMA(True Range, long_period)
Adaptive_ATR = /
Where:
SMA is the Simple Moving Average.
short_period and long_period are user-defined inputs (defaults are 3 and 7, respectively).
🔶 4. Trend Strength Calculation
The strategy quantifies the strength of the trend to filter out weak signals.
Price_Change = Close - Close
ATR_Multiple = Price_Change / Adaptive_ATR (if Adaptive_ATR ≠ 0)
Trend_Strength = SMA(ATR_Multiple, n)
🔶 5. Trend Signal Determination
If (Short_MA > Long_MA) AND (Trend_Strength > Trend_Strength_Threshold):
Trend_Signal = 1 (Strong Uptrend)
Elif (Short_MA < Long_MA) AND (Trend_Strength < -Trend_Strength_Threshold):
Trend_Signal = -1 (Strong Downtrend)
Else:
Trend_Signal = 0 (No Clear Trend)
🔶 6. Trend Confirmation with Price Action
Adaptive_ATR_SMA = SMA(Adaptive_ATR, atr_sma_period)
If (Trend_Signal == 1) AND (Close > Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA):
Trend_Confirmed = True
Elif (Trend_Signal == -1) AND (Close < Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA):
Trend_Confirmed = True
Else:
Trend_Confirmed = False
Local Performance
🔶 7. Multi-Step Take-Profit Mechanism
The strategy employs a 7-step take-profit system
█ Trade Direction
The SuperATR 7-Step Profit Strategy is designed to work in both long and short market conditions. By identifying strong uptrends and downtrends, it allows traders to capitalize on price movements in either direction.
Long Trades: Initiated when the market shows strong upward momentum and the trend is confirmed.
Short Trades: Initiated when the market exhibits strong downward momentum and the trend is confirmed.
█ Usage
To implement the SuperATR 7-Step Profit Strategy:
1. Configure the Strategy Parameters:
- Adjust the short_period, long_period, and momentum_period to match the desired sensitivity.
- Set the trend_strength_threshold to control how strong a trend must be before acting.
2. Set Up the Multi-Step Take-Profit Levels:
- Define ATR multipliers and fixed percentage levels according to risk tolerance and profit goals.
- Specify the percentage of the position to close at each level.
3. Apply the Strategy to a Chart:
- Use the strategy on instruments and timeframes where it has been tested and optimized.
- Monitor the positions and adjust parameters as needed based on performance.
4. Backtest and Optimize:
- Utilize TradingView's backtesting features to evaluate historical performance.
- Adjust the default settings to optimize for different market conditions.
█ Default Settings
Understanding default settings is crucial for optimal performance.
Short Period (3): Affects the responsiveness of the short-term MA.
Effect: Lower values increase sensitivity but may produce more false signals.
Long Period (7): Determines the trend baseline.
Effect: Higher values reduce noise but may delay signals.
Momentum Period (7): Influences adaptive ATR and trend strength.
Effect: Shorter periods react quicker to price changes.
Trend Strength Threshold (0.5): Filters out weaker trends.
Effect: Higher thresholds yield fewer but stronger signals.
ATR Multipliers: Set distances for ATR-based exits.
Effect: Larger multipliers aim for bigger moves but may reduce hit rate.
Fixed TP Levels (%): Control profit-taking on smaller moves.
Effect: Adjusting these levels affects how quickly profits are realized.
Exit Percentages: Determine how much of the position is closed at each TP level.
Effect: Higher percentages reduce exposure faster, affecting risk and reward.
Adjusting these variables allows you to tailor the strategy to different market conditions and personal risk preferences.
By integrating adaptive indicators and a multi-tiered exit strategy, the SuperATR 7-Step Profit Strategy offers a versatile tool for traders seeking to navigate varying market conditions effectively. Understanding and adjusting the key parameters enables traders to harness the full potential of this strategy.
Advanced Gold Scalping Strategy with RSI Divergence# Advanced Gold Scalping Strategy with RSI Divergence
## Overview
This Pine Script implements an advanced scalping strategy for gold (XAUUSD) trading, primarily designed for the 1-minute timeframe. The strategy utilizes the Relative Strength Index (RSI) indicator along with its moving average to identify potential trade setups based on divergences between price action and RSI movements.
## Key Components
### 1. RSI Calculation
- Uses a customizable RSI length (default: 60)
- Allows selection of the source for RSI calculation (default: close price)
### 2. Moving Average of RSI
- Supports multiple MA types: SMA, EMA, SMMA (RMA), WMA, VWMA, and Bollinger Bands
- Customizable MA length (default: 3)
- Option to display Bollinger Bands with adjustable standard deviation multiplier
### 3. Divergence Detection
- Implements both bullish and bearish divergence identification
- Uses pivot high and pivot low points to detect divergences
- Allows for customization of lookback periods and range for divergence detection
### 4. Entry Conditions
- Long Entry: Bullish divergence when RSI is below 40
- Short Entry: Bearish divergence when RSI is above 60
### 5. Trade Management
- Stop Loss: Customizable, default set to 11 pips
- Take Profit: Customizable, default set to 33 pips
### 6. Visualization
- Plots RSI line and its moving average
- Displays horizontal lines at 30, 50, and 70 RSI levels
- Shows Bollinger Bands when selected
- Highlights divergences with "Bull" and "Bear" labels on the chart
## Input Parameters
- RSI Length: Adjusts the period for RSI calculation
- RSI Source: Selects the price source for RSI (close, open, high, low, hl2, hlc3, ohlc4)
- MA Type: Chooses the type of moving average applied to RSI
- MA Length: Sets the period for the moving average
- BB StdDev: Adjusts the standard deviation multiplier for Bollinger Bands
- Show Divergence: Toggles the display of divergence labels
- Stop Loss: Sets the stop loss distance in pips
- Take Profit: Sets the take profit distance in pips
## Strategy Logic
1. **RSI Calculation**:
- Computes RSI using the specified length and source
- Calculates the chosen type of moving average on the RSI
2. **Divergence Detection**:
- Identifies pivot points in both price and RSI
- Checks for higher lows in RSI with lower lows in price (bullish divergence)
- Checks for lower highs in RSI with higher highs in price (bearish divergence)
3. **Trade Entry**:
- Enters a long position when a bullish divergence is detected and RSI is below 40
- Enters a short position when a bearish divergence is detected and RSI is above 60
4. **Position Management**:
- Places a stop loss order at the entry price ± stop loss pips (depending on the direction)
- Sets a take profit order at the entry price ± take profit pips (depending on the direction)
5. **Visualization**:
- Plots the RSI and its moving average
- Draws horizontal lines for overbought/oversold levels
- Displays Bollinger Bands if selected
- Shows divergence labels on the chart for identified setups
## Usage Instructions
1. Apply the script to a 1-minute XAUUSD (Gold) chart in TradingView
2. Adjust the input parameters as needed:
- Increase RSI Length for less frequent but potentially more reliable signals
- Modify MA Type and Length to change the sensitivity of the RSI moving average
- Adjust Stop Loss and Take Profit levels based on current market volatility
3. Monitor the chart for Bull (long) and Bear (short) labels indicating potential trade setups
4. Use in conjunction with other analysis and risk management techniques
## Considerations
- This strategy is designed for short-term scalping and may not be suitable for all market conditions
- Always backtest and forward test the strategy before using it with real capital
- The effectiveness of divergence-based strategies can vary depending on market trends and volatility
- Consider using additional confirmation signals or filters to improve the strategy's performance
Remember to adapt the strategy parameters to your risk tolerance and trading style, and always practice proper risk management.
HilalimSB Strategy HilalimSB A Wedding Gift 🌙
What is HilalimSB🌙?
First of all, as mentioned in the title, HilalimSB is a wedding gift.
HilalimSB - Revealing the Secrets of the Trend
HilalimSB is a powerful indicator designed to help investors analyze market trends and optimize trading strategies. Designed to uncover the secrets at the heart of the trend, HilalimSB stands out with its unique features and impressive algorithm.
Hilalim Algorithm and Fixed ATR Value:
HilalimSB is equipped with a special algorithm called "Hilalim" to detect market trends. This algorithm can delve into the depths of price movements to determine the direction of the trend and provide users with the ability to predict future price movements. Additionally, HilalimSB uses its own fixed Average True Range (ATR) value. ATR is an indicator that measures price movement volatility and is often used to determine the strength of a trend. The fixed ATR value of HilalimSB has been tested over long periods and its reliability has been proven. This allows users to interpret the signals provided by the indicator more reliably.
ATR Calculation Steps
1.True Range Calculation:
+ The True Range (TR) is the greatest of the following three values:
1. Current high minus current low
2. Current high minus previous close (absolute value)
3. Current low minus previous close (absolute value)
2.Average True Range (ATR) Calculation:
-The initial ATR value is calculated as the average of the TR values over a specified period
(typically 14 periods).
-For subsequent periods, the ATR is calculated using the following formula:
ATRt=(ATRt−1×(n−1)+TRt)/n
Where:
+ ATRt is the ATR for the current period,
+ ATRt−1 is the ATR for the previous period,
+ TRt is the True Range for the current period,
+ n is the number of periods.
Pine Script to Calculate ATR with User-Defined Length and Multiplier
Here is the Pine Script code for calculating the ATR with user-defined X length and Y multiplier:
//@version=5
indicator("Custom ATR", overlay=false)
// User-defined inputs
X = input.int(14, minval=1, title="ATR Period (X)")
Y = input.float(1.0, title="ATR Multiplier (Y)")
// True Range calculation
TR1 = high - low
TR2 = math.abs(high - close )
TR3 = math.abs(low - close )
TR = math.max(TR1, math.max(TR2, TR3))
// ATR calculation
ATR = ta.rma(TR, X)
// Apply multiplier
customATR = ATR * Y
// Plot the ATR value
plot(customATR, title="Custom ATR", color=color.blue, linewidth=2)
This code can be added as a new Pine Script indicator in TradingView, allowing users to calculate and display the ATR on the chart according to their specified parameters.
HilalimSB's Distinction from Other ATR Indicators
HilalimSB emerges with its unique Average True Range (ATR) value, presenting itself to users. Equipped with a proprietary ATR algorithm, this indicator is released in a non-editable form for users. After meticulous testing across various instruments with predetermined period and multiplier values, it is made available for use.
ATR is acknowledged as a critical calculation tool in the financial sector. The ATR calculation process of HilalimSB is conducted as a result of various research efforts and concrete data-based computations. Therefore, the HilalimSB indicator is published with its proprietary ATR values, unavailable for modification.
The ATR period and multiplier values provided by HilalimSB constitute the fundamental logic of a trading strategy. This unique feature aids investors in making informed decisions.
Visual Aesthetics and Clear Charts:
HilalimSB provides a user-friendly interface with clear and impressive graphics. Trend changes are highlighted with vibrant colors and are visually easy to understand. You can choose colors based on eye comfort, allowing you to personalize your trading screen for a more enjoyable experience. While offering a flexible approach tailored to users' needs, HilalimSB also promises an aesthetic and professional experience.
Strong Signals and Buy/Sell Indicators:
After completing test operations, HilalimSB produces data at various time intervals. However, we would like to emphasize to users that based on our studies, it provides the best signals in 1-hour chart data. HilalimSB produces strong signals to identify trend reversals. Buy or sell points are clearly indicated, allowing users to develop and implement trading strategies based on these signals.
For example, let's imagine you wanted to open a position on BTC on 2023.11.02. You are aware that you need to calculate which of the buying or selling transactions would be more profitable. You need support from various indicators to open a position. Based on the analysis and calculations it has made from the data it contains, HilalimSB would have detected that the graph is more suitable for a selling position, and by producing a sell signal at the most ideal selling point at 08:00 on 2023.11.02 (UTC+3 Istanbul), it would have informed you of the direction the graph would follow, allowing you to benefit positively from a 2.56% decline.
Technology and Innovation:
HilalimSB aims to enhance the trading experience using the latest technology. With its innovative approach, it enables users to discover market opportunities and support their decisions. Thus, investors can make more informed and successful trades. Real-Time Data Analysis: HilalimSB analyzes market data in real-time and identifies updated trends instantly. This allows users to make more informed trading decisions by staying informed of the latest market developments. Continuous Update and Improvement: HilalimSB is constantly updated and improved. New features are added and existing ones are enhanced based on user feedback and market changes. Thus, HilalimSB always aims to provide the latest technology and the best user experience.
Social Order and Intrinsic Motivation:
Negative trends such as widespread illegal gambling and uncontrolled risk-taking can have adverse financial effects on society. The primary goal of HilalimSB is to counteract these negative trends by guiding and encouraging users with data-driven analysis and calculable investment systems. This allows investors to trade more consciously and safely.
What is HilalimSB Strategy🌙?
HilalimSB Strategy is a strategy that is supported by the HilalimSB algorithm created by the creator of HilalimSB and continues transactions with take profit and stop loss levels determined by users who strategically and automatically open transactions as a result of the data it receives and automatically closes transactions under necessary conditions. It is a first in the tradingview world with its unique take profit and stop loss markings. HilalimSB Strategy is open to users' initiatives and is a trading strategy developed on BTC.
What does the HilalimSB Strategy target?
The main purpose of HilalimSB Strategy is to reduce the transaction load of traders and to be integrated into various brokerage firms and operated by automatic trading bots, and it is aimed to serve this purpose. In addition to the strategies currently available in the markets, HilalimSB Strategy offers a useful infrastructure to traders with its useful interface. HilalimSB Strategy, which was decided to be published as a result of various calculations, was offered to the users with its unique visual effects after the completion of the testing procedures under market conditions.
HilalimSB Strategy and Heikin Ashi
HilalimSB Strategy produces data in Heikin Ashi chart types, but since Heikin Ashi chart types have their own calculation method, HilalimSB Strategy has been published in a way that cannot produce data in this chart type due to HilalimSB Strategy's ideology of appealing to all types of users, and any confusion that may arise is prevented in this way.
After the necessary conditions determined by the creator of HilalimSB are met, HilalimSB Heikin Ashi will be shared exclusively with invited users only, upon request, to users who request an invitation.
Differences between HilalimSB Strategy and HilalimSB
HilalimSB Strategy has been shared as a strategy and its features have been explained above. HilalimSB is a trading indicator and this is the main difference between them.We can explain it briefly this way.
Here are the differences between indicators and strategies:
1.Purpose and Use:
Indicators: Analyze market data to provide information about price movements and trends. They typically generate buy and sell signals and give traders clues about when to make trades in the market.
Strategies: These are plans for trading based on specific rules. They use signals from indicators and other market data to execute buy and sell transactions.
2.Features:
Indicators: Operate independently and are based on specific mathematical formulas. Examples include moving averages, RSI, and MACD.
Strategies: Combine one or more indicators and other market analysis tools to create a comprehensive trading plan. This plan determines entry and exit points, risk management, and trade size.
3.Scope:
Indicators: Are single analysis tools focusing on specific time frames or price movements.
Strategies: Are comprehensive trading plans that typically involve multiple trades over a certain period.
4.Decision Making:
Indicators: Provide information to traders and help in the decision-making process.
Strategies: Are direct decision-making mechanisms that execute trades automatically according to predetermined rules.
5.Automation:
Indicators: Are mostly interpreted manually and used based on the trader’s discretion.
Strategies: Can be used in automated trading systems and execute trades automatically according to the set rules.
The shared image is a 1-hour chart of BTCUSDC.P determined by the user as 1 percent take profit and 1 percent stop loss. And transactions were opened on Binance with the commission rate determined as 0.017 for the USDC trading pair.
HilalimSB Strategy, which presents users with completely concrete data, has proven itself in testing processes and is a project of SB that aims to reach all user profiles.🌙
Same high/low updateHere I made a strategy out of my indicator. So, the trigger is double low/high on 1 week candle chart.
Entrance: close of the next candle if it's low/high higher/lower than previous one. (in most cases it's precise for backtesting)
Stop loss: long:low-one tick, short:high+one tick
Take profit: ATR*Multiplier (you can tune it in properties)
BuyHigh-SellLow StrategyYeah. You read it right. It's not a mistake. It is buy high and sell low strategy.
Main entry condition is to buy when price hits 40 day Donchian channel top. This is combined with my other regular filters which are aligned moving average and new high/low filter and yearly high/low filter.
Exit condition can be based on two things:
Donchian channel : Set appropriate DonchianExitLength. Lower line of donchian channel acts as trailing stop.
ATR Based trailing stop : Select appropriate ATR multiplier and length.
What a surprise!! You can buy high, sell low and still make money.
Gap Filling Strategy Gaps are market prices structures that appear frequently in the stock market, and can be detected when the opening price is different from the previous closing price, this is why gaps are also called "opening price jumps". While gaps can occur frequently, some of them are more significant than others, and can be observed when looking at a long term chart.
The following strategy is based on the exploitation of significant gaps occurring during a new session, and posses various options that can return a wide variety of results.
Type Of Gaps And Occurence
I'am not a professional when it comes to gaps, but as you know the stock market close for the day, however it is still possible to place orders, your broker will hold them until the market open back. Once the market reopen the broker execute the pending orders, and when many orders where pending the market register really high volume and the price might differ from the precedent close.
Gaps are generally broken down into four types:
Common : Gaps occurring within a certain price range, mostly occurs during ranging markets.
Break Away : Gaps breaking a support and resistance, making a new higher high/lower low.
Runaway : Gaps occurring within a trend, followed by a continuation of the trend.
Exhaustion : Gaps occurring at the end of a trend, followed by a reversal.
As said before, some gaps are more significant than others, the significance of a gap can be determined by comparing the opening price with the previous high/low price and by looking at volume. Significant up gaps will have an opening price greater than the previous high, while significant down gap will have an opening price lower than the previous low with both high volume accompanying them.
After a gap, when the price go back to the point previous to the gap we say that it has been "filled", this characteristic is what will be exploited in this strategy.
Strategy Rules & Logic
In this strategy, the significance of a gap is determined by the position of the opening price relative to the previous high/low and make sure the bar following the gap don't fill it.
When the setting invert is set to false the strategy interpret the detected gaps as being exhaustion gaps, therefore when an up gap occur a short position is opened, when a down gap occur a long position is opened. When invert is set to true gaps are considered to be runaway or break away gaps, therefore the contrary positions are opened. Positions are exited when the gap has been filled, which in the chart is show'n when the price cross the red level who act as either a take profit (invert = false) or as a stop loss (invert = true).
There are various closing conditions available that the user can select from the "close when" setting.
New Session : This option close all previous positions when the market is in a new session.
New Gap : This option close all previous position when a new gap has been detected.
Reverse Position : This option close all previous position when a contrary position to the current one is opened. This option would reduce the number of trades.
Testing On Some Stocks
The analysis will be tested in different tech stocks with a main TF of 15 minutes with no spread and commissions applied. Default settings will be used. We'll be making our first analysis using AMD, who has recently formed a full reverse HS pattern, where the neckline has been crossed by the price. (by the way i have a bad feeling about it, hey ! feeling filling ! Lame jokes!)
Profit: $ -12.22
Trades: 272
Profitability: 65.07 %
We can see negative results, with an heavily decreasing balance. Using invert would return positive results.
We will now test the strategy on NVDA, the company is one of the biggest when it comes to the Gpu market.
Profit: $ -215.54
Trades: 297
Profitability: 60.27 %
Not better, using invert would of course create better results. Like AMD the balance is heavily decreasing.
Finally we will test the strategy on Seagate technology, a company mostly known for their mechanical hard drives.
Profit: $ -4.32
Trades: 261
Profitability: 65.9 %
Here the balance does not appear so heavily decreasing and even managed to reach back the initial balance before going down again.
Summary
A strategy based on gap filling has been briefly introduced and tested with 3 tech stocks. The results show that using invert option might be better. The advantage of this strategy against ones using technical indicators is that this one does not heavily depend on user settings, which make it way more efficient, this a big advantage of patterns based strategies.
Thx to LucF for helping with the "process_orders_on_close" element, since i had to use closing price i had to remove it tho, was afraid results would differ even more from a more realistic backtest. And thx for those who continuously support me, more cool stuff is coming up.
Thx for reading and i hope you'll have learned something new today !
AM Range Sniper [jmaxxx]AM Range Sniper
Overview
AM Range Sniper is a sophisticated morning session trading strategy designed for Micro E-mini Nasdaq-100 Index Futures (MNQ). This strategy capitalizes on the critical 8:30-9:30 AM EST range formation period, implementing precise entry and exit mechanics with advanced risk management.
Key Features
🕐 Time-Based Range Analysis
Range Definition: Automatically identifies and tracks the 8:30-9:30 AM EST range
Trading Window: Active trading from 9:30 AM to 11:00 AM EST (extended for second chance trades)
Session Management: Daily reset ensures clean state for each trading session
🎯 Multiple Entry Patterns
Breakthrough/Retest: Captures price breakthroughs above range with retest opportunities
Long/Short Opportunities: Comprehensive coverage of both directional moves
Breakdown: Identifies bearish breakdowns below range support
Break Up: Detects bullish breakups above range resistance
Range Sweeps: Monitors for range high/low sweeps with reversal entries
⚡ Advanced Risk Management
Configurable Stop Losses: Tick-based stop losses for each trade type
Take Profit Targets: Automatic target calculations based on range size
Hard Close Protection: Automatic position closure at 4 PM EST
Second Chance Feature: Optional second trade opportunity if first trade loses
🔧 Professional Features
Visual Stop Loss Lines: Real-time stop loss visualization on chart
Debug Information Panel: Comprehensive status monitoring
Alert Integration: Customizable alert messages for entries/exits
Flexible Time Settings: Adjustable for different timezones
Strategy Logic
Range Formation (8:30-9:30 AM)
The strategy monitors the first hour of trading to establish the day's range. This range serves as the foundation for all subsequent trading decisions.
Entry Conditions
Breakthrough: Price breaks above range high with retest rejection
Breakdown: Price breaks below range low with confirmed bearish momentum
Break Up: Price breaks above range high with strong bullish confirmation
Sweep Entries: Range high/low sweeps followed by reversal signals
Risk Management
Stop Loss: Configurable tick-based stops for each trade type
Take Profit: 1.5x range size targets for breakdown/breakup trades
Position Sizing: Percentage-based position sizing
Session Limits: Maximum 2 trades per session (with second chance feature)
Settings & Customization
Core Parameters
Enable/disable individual entry patterns
Configurable stop loss levels (1-500 ticks)
Second chance feature toggle
Previous day level integration
Visual Customization
Customizable stop loss colors and widths
Debug panel visibility
Range line styling
Alert Configuration
Custom entry/exit alert messages
***** Automate With *****
APEX
NinjaTrader
Crosstrade.io ( promo code JMAXXX )
Performance & Reliability
Precision Focused: Waits for high-probability setups
Risk-Aware: Comprehensive stop loss and position management
Session-Based: Clean daily resets prevent carryover issues
Professional Grade: Designed for serious traders
Ideal For
Day Traders: Morning session specialists
Futures Traders: MNQ and similar instruments
Range Traders: Traders who capitalize on range breakouts
Risk-Conscious Traders: Those who prioritize risk management
Disclaimer
This strategy is for educational and informational purposes. Past performance does not guarantee future results. Always test thoroughly on historical data and paper trading before live implementation. Risk management is crucial - never risk more than you can afford to lose.
Created by jmaxxx - Professional trading strategy developer
For questions, feedback, or customization requests, please leave a comment below.
Trend Shift Trend Shift – Precision Trend Strategy with TP1/TP2 and Webhook Alerts
Trend Shift is an original, non-repainting algorithmic trading strategy designed for 1H crypto charts, combining trend, momentum, volume compression, and price structure filters. It uses real-time components and avoids repainting, while supporting webhook alerts, customizable dashboard display, and multi-level take-profit exits.
🔍 How It Works
The strategy uses a multi-layered system:
📊 Trend Filters
McGinley Baseline: Adaptive non-lagging baseline to define overall trend.
White Line Bias: Midpoint of recent high/low range to assess directional bias.
Tether Lines (Fast/Slow): Price structure-based cloud for trend validation.
📉 Momentum Confirmation
ZLEMA + CCI: Combines Zero Lag EMA smoothing with Commodity Channel Index slope to confirm strong directional movement.
💥 Volatility Squeeze
TTM Squeeze Logic: Detects low-volatility compression zones (BB inside KC) to anticipate breakout direction.
📈 Vortex Strength
Confirms sustained price movement with a threshold-based Vortex differential.
⚠️ Trap Filters
Wick Trap Detection: Prevents entries on manipulative candle structures (false breakouts).
🔄 Exit Timing
Uses ZLEMA slope as a weak-trend exit mechanism to get out before reversals.
🎯 Take-Profit Logic
TP1: Closes 50% of the position at a configurable profit target.
TP2: Closes remaining 100% of the position at a second target.
Full position closure is enforced before any new trade begins.
A 1-bar cooldown ensures no same-bar reversals occur.
🖥️ Real-Time Dashboard
Includes live stats such as:
Current position (Long/Short/Flat)
Entry price
TP1/TP2 hit status
Bars in trade
Win rate
Profit factor
You can adjust its size and screen corner using input settings.
🔔 Webhook Alerts Included
Long/Short Entry
TP1 and TP2 Hit (Long/Short)
Exit on Trend Reversal
Alerts are formatted for automated bot integration (JSON payload format).
⚠️ Important Notes
This strategy is 100% non-repainting.
No same-bar entry/exit occurs.
Backtested with 0.05% commission, 1 tick slippage, and $1,000 initial capital.
Default sizing: 10% equity per trade (adjustable).
Designed for crypto markets on the 1H timeframe, but can be adapted.
✅ Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always test any strategy in a risk-free environment before using it in live trading.
Would you like a visual cover image for TradingView too (like a black/lime-green "Trend Shift Strategy" branded graphic)?
You said:
thats good keep all of it but you need to explaine its not just a mash up of indicators it an origional designe
ChatGPT said:
Absolutely — here's the revised and fully TradingView-compliant description with your request integrated. It now clearly explains that Trend Shift is not just a mashup, but an original, structured algorithm:
📈 Trend Shift – Precision Trend Strategy with TP1/TP2 and Webhook Alerts
Trend Shift is a fully original and carefully engineered algorithmic trading strategy — not just a mash-up of common indicators. It is purpose-built for high-accuracy crypto trend trading on the 1H timeframe using a layered decision framework. Every component has a defined role in identifying high-probability trades while avoiding lag and false signals. The logic has been rigorously tested to ensure non-repainting, stable behavior, and clear entry/exit timing — with support for webhook automation and customizable dashboards.
🔍 How It Works (Component Roles)
This strategy is constructed from custom logic blocks, not a random combination of standard tools:
📊 Trend Filters (Foundation)
McGinley Dynamic Baseline: Smooths price with adaptive logic — better than EMA for live crypto trends.
White Line Bias (Original Midpoint Logic): Midpoint of recent high/low range — provides bias without lag.
Tether Lines (Fast/Slow): Act as structure-based confirmation of trend health and direction.
📉 Momentum Confirmation
ZLEMA-smoothed CCI Momentum: Uses zero-lag smoothing and CCI slope steepness to confirm trend strength and direction. This combo is highly responsive and original in design.
💥 Volatility Breakout Detection
TTM Squeeze Logic (Custom Threshold Logic): Confirms volatility contraction and directional momentum before breakouts — not just raw BB/KC overlap.
📈 Vortex Strength Confirmation
Uses a threshold-filtered differential of Vortex Up/Down to confirm strong directional moves. Avoids trend entries during weak or sideways conditions.
⚠️ Trap Filter (Original Logic)
Wick Trap Detection: Prevents entries on likely fakeouts by analyzing wick-to-body ratio and previous candle positioning. This is custom-built and unique.
🔄 Smart Exit Logic
ZLEMA Slope Exit Filter: Identifies early signs of trend weakening to exit trades ahead of reversals — an original adaptive method, not a basic cross.
🎯 Take-Profit Structure
TP1: Closes 50% at a customizable first target.
TP2: Closes remaining 100% at a second target.
No overlapping trades. Reentry is delayed by 1 bar to prevent same-bar reversals and improve backtest accuracy.
🖥️ Live Trading Dashboard
Toggleable, repositionable UI showing:
Current Position (Long, Short, Flat)
Entry Price
TP1/TP2 Hit Status
Bars in Trade
Win Rate
Profit Factor
Includes sizing controls and lime/white color coding for fast clarity.
🔔 Webhook Alerts Included
Entry: Long & Short
Take Profits: TP1 & TP2 for Long/Short
Exits: Based on ZLEMA trend weakening logic
Alerts are JSON-formatted for webhook integration with bots or alert services.
🛠️ Originality Statement
This script is not a mashup. Every component — from Tether Line confirmation to wick traps and slope-based exits — is custom-constructed and combined into a cohesive trading engine. No reused indicator templates. No repainting. No guesswork. Each filter complements the others to reduce risk, not stack lag.
⚠️ Important Notes
100% Non-Repainting
No same-bar entry/exits
Tested with 0.05% commission, 1 tick slippage, and $1,000 starting capital
Adjustable for equity % sizing, TP levels, and dashboard layout
✅ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Use in demo or backtest environments before applying to live markets. No guarantee of future returns.
MultiLayer Acceleration/Deceleration Strategy [Skyrexio]Overview
MultiLayer Acceleration/Deceleration Strategy leverages the combination of Acceleration/Deceleration Indicator(AC), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Acceleration/Deceleration Indicator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades.
Unique Features
No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs)
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one.
Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one.
Methodology
The strategy opens long trade when the following price met the conditions:
1. Price closed above EMA (by default, period = 100). Crossover is not obligatory.
2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph)
3. Acceleration/Deceleration shall create one of two types of long signals (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created long signal.
4. If price reaches the order price, long position is opened with 10% of capital.
5. If currently we have opened position and price creates and hit the order price of another one long signal, another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously.
6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened.
Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent.
Strategy settings
In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA.
The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows:
1.Calculate the Smoothing Multiplier:
Multiplier = 2 / (n + 1), Where n is the number of periods.
2. EMA Calculation
EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier)
In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend.
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either:
Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal.
Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal.
Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy.
How do these tools work together in this strategy? Let’s consider an example of an uptrend.
When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish.
The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals.
In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades.
By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics.
Now let's talk about Acceleration/Deceleration signals. AC indicator is calculated using the Awesome Oscillator, so let's first of all briefly explain what is Awesome Oscillator and how it can be calculated. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula:
AC = AO − SMA5(AO), where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator
When the AC is above the zero line and rising, it suggests accelerating upward momentum.
When the AC is below the zero line and falling, it indicates accelerating downward momentum.
When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum.
Now we can explain which AC signal types are used in this strategy. The first type of long signal is when AC value is below zero line. In this cases we need to see three rising bars on the histogram in a row after the falling one. The second type of signals occurs above the zero line. There we need only two rising AC bars in a row after the falling one to create the signal. The signal bar is the last green bar in this sequence. The strategy places the buy stop order one tick above the candle's high, which corresponds to the signal bar on AC indicator.
After that we can have the following scenarios:
Price hit the order on the next candle in this case strategy opened long with this price.
Price doesn't hit the order price, the next candle set lower high. If current AC bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AC bar become decreasing. In the second case buy order cancelled and strategy wait for the next AC signal.
If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. All open trades are closed when the trend shifts to a downtrend, as determined by the combination of the Alligator and Fractals described earlier.
Why we use AC signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC bars after period of falling AC bars indicates the high probability of local pull back end and there is a high chance to open long trade in the direction of the most likely main uptrend. The numbers of rising bars are different for the different AC values (below or above zero line). This is needed because if AC below zero line the local downtrend is likely to be stronger and needs more rising bars to confirm that it has been changed than if AC is above zero.
Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next AC signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.11.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 10%
Maximum Single Position Loss: -5.15%
Maximum Single Profit: +24.57%
Net Profit: +2108.85 USDT (+21.09%)
Total Trades: 111 (36.94% win rate)
Profit Factor: 2.391
Maximum Accumulated Loss: 367.61 USDT (-2.97%)
Average Profit per Trade: 19.00 USDT (+1.78%)
Average Trade Duration: 75 hours
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
S&D Light+ Enhanced# S&D Light+ Enhanced - Supply & Demand Zone Trading Strategy
## 📊 Overview
**S&D Light+ Enhanced** is an advanced Supply and Demand zone identification and trading strategy that combines institutional order flow concepts with smart money techniques. This strategy automatically identifies high-probability reversal zones based on Break of Structure (BOS), momentum analysis, and first retest principles.
## 🎯 Key Features
### Smart Zone Detection
- **Automatic Supply & Demand Zone Identification** - Detects institutional zones where price is likely to react
- **Multi-Candle Momentum Analysis** - Validates zones with configurable momentum requirements
- **Break of Structure (BOS) Confirmation** - Ensures zones are created only after significant structure breaks
- **Quality Filters** - Minimum zone size and ATR-based filtering to eliminate weak zones
### Advanced Zone Management
- **Customizable Zone Display** - Choose between Geometric or Volume-Weighted midlines
- **First Retest Logic** - Option to trade only the first touch of each zone for higher probability setups
- **Zone Capacity Control** - Maintains a clean chart by limiting stored zones per type
- **Visual Zone Status** - Automatically marks consumed zones with faded midlines
### Risk Management
- **Dynamic Stop Loss** - Positioned beyond zone boundaries with adjustable buffer
- **Risk-Reward Ratio Control** - Customizable R:R for consistent risk management
- **Entry Spacing** - Minimum bars between signals prevents overtrading
- **Position Sizing** - Built-in percentage of equity allocation
## 🔧 How It Works
### Zone Creation Logic
**Supply Zones (Selling Pressure):**
1. Strong momentum downward movement (configurable body-to-range ratio)
2. Identified bullish base candle (where institutions accumulated shorts)
3. Break of Structure downward (price breaks below recent swing low)
4. Zone created at the base candle's high/low range
**Demand Zones (Buying Pressure):**
1. Strong momentum upward movement
2. Identified bearish base candle (where institutions accumulated longs)
3. Break of Structure upward (price breaks above recent swing high)
4. Zone created at the base candle's high/low range
### Entry Conditions
**Long Entry:**
- Price retests a demand zone (touches top of zone)
- Rejection confirmed (close above zone)
- Zone hasn't been used (if "first retest only" enabled)
- Minimum bars since last entry respected
**Short Entry:**
- Price retests a supply zone (touches bottom of zone)
- Rejection confirmed (close below zone)
- Zone hasn't been used (if "first retest only" enabled)
- Minimum bars since last entry respected
## ⚙️ Customizable Parameters
### Display Settings
- **Show Zones** - Toggle zone visualization on/off
- **Max Stored Zones** - Control number of active zones (1-50 per type)
- **Color Customization** - Adjust supply/demand colors and transparency
### Zone Quality Filters
- **Momentum Body Fraction** - Minimum body size for momentum candles (0.1-0.9)
- **Min Momentum Candles** - Number of consecutive momentum candles required (1-5)
- **Big Candle Body Fraction** - Alternative single-candle momentum threshold (0.5-0.95)
- **Min Zone Size %** - Minimum zone height as percentage of price (0.01-5.0%)
### BOS Configuration
- **Swing Length** - Lookback period for structure identification (3-20)
- **ATR Length** - Period for volatility measurement (1-50)
- **BOS Required Break** - ATR multiplier for valid structure break (0.1-3.0)
### Midline Options
- **None** - No midline displayed
- **Geometric** - Simple average of zone top/bottom
- **CenterVolume** - Volume-weighted center based on highest volume bar in window
### Risk Management
- **SL Buffer %** - Additional space beyond zone boundary (0-5%)
- **Take Profit RR** - Risk-reward ratio for target placement (0.5-10x)
### Entry Rules
- **Only 1st Retest per Zone** - Trade zones only once for higher quality
- **Min Bars Between Entries** - Prevent overtrading (1-20 bars)
## 📈 Recommended Settings
### Conservative (Lower Frequency, Higher Quality)
```
Momentum Body Fraction: 0.30
Min Momentum Candles: 2-3
BOS Required Break: 0.8-1.0
Min Zone Size: 0.15-0.20%
Only 1st Retest: Enabled
```
### Balanced (Default)
```
Momentum Body Fraction: 0.28
Min Momentum Candles: 2
BOS Required Break: 0.7
Min Zone Size: 0.12%
Only 1st Retest: Enabled
```
### Aggressive (Higher Frequency, More Signals)
```
Momentum Body Fraction: 0.20-0.25
Min Momentum Candles: 1-2
BOS Required Break: 0.4-0.5
Min Zone Size: 0.08-0.10%
Only 1st Retest: Disabled
```
## 🎨 Visual Elements
- **Red Boxes** - Supply zones (potential selling areas)
- **Green Boxes** - Demand zones (potential buying areas)
- **Dotted Midlines** - Center of each zone (fades when zone is used)
- **Debug Triangles** - Shows when zone creation conditions are met
- Red triangle down = Supply zone created
- Green triangle up = Demand zone created
## 📊 Best Practices
1. **Use on Higher Timeframes** - 1H, 4H, and Daily charts work best for institutional zones
2. **Combine with Trend** - Trade zones in direction of overall market structure
3. **Wait for Confirmation** - Don't enter immediately at zone touch; wait for rejection
4. **Adjust for Market Volatility** - Increase BOS multiplier in choppy markets
5. **Monitor Zone Quality** - Fresh zones typically have higher success rates
6. **Backtest Your Settings** - Optimize parameters for your specific market and timeframe
## ⚠️ Risk Disclaimer
This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Always:
- Use proper position sizing
- Set appropriate stop losses
- Test thoroughly before live trading
- Consider market conditions and overall trend
- Never risk more than you can afford to lose
## 🔍 Data Window Information
The strategy provides real-time metrics visible in the data window:
- Supply Zones Count
- Demand Zones Count
- ATR Value
- Momentum Signals (Up/Down)
- BOS Signals (Up/Down)
## 📝 Version History
**v1.0 - Enhanced Edition**
- Improved BOS detection logic
- Extended base candle search range
- Added comprehensive input validation
- Enhanced visual feedback system
- Robust array bounds checking
- Debug signals for troubleshooting
## 💡 Tips for Optimization
- **Trending Markets**: Lower momentum requirements, tighter BOS filters
- **Ranging Markets**: Increase zone size minimum, enable first retest only
- **Volatile Assets**: Increase ATR multiplier and SL buffer
- **Lower Timeframes**: Reduce swing length, increase min bars between entries
- **Higher Timeframes**: Increase swing length, relax momentum requirements
---
**Created with focus on institutional order flow, smart money concepts, and practical risk management.**
*Happy Trading! 📈*
AutoTrader v3.0[by Irum]1. 스크립트 목적 / 정의
1-1. 한글 설명
이 스크립트의 목적
15분봉 BTC/USDT 같은 레버리지/선물 환경에서,
“EMA 재돌파 + BB 스퀴즈 국면”에서만 진입하고,
상위 추세(레짐 필터) + ATR 기반 리스크/수량 + ATR 트레일링 + 부분청산을 한 번에 관리하는 “올인원 자동 전략”입니다.
핵심 특징:
진입 로직
EMA(기본 9) 를 기준으로
종가가 EMA를 위로 돌파(골든크로스) & BB 폭이 좁을 때 → Long 진입 후보
종가가 EMA를 아래로 돌파(데드크로스) & BB 폭이 좁을 때 → Short 진입 후보
이걸 “Re-break + Squeeze” 구조로 설계해서,
변동성이 줄었다가 방향이 다시 나오려는 시점만 노립니다.
레짐 필터(Regime Filter)
상위 타임프레임(기본 1시간봉 HTF EMA 200)의 기울기와
ATR 빠른 선/느린 선으로
상승 추세 + 변동성 살아있는 구간만 Long 허용
하락 추세 + 변동성 살아있는 구간만 Short 허용
즉, 역추세 매매를 최대한 차단하고, 추세 방향만 따라갑니다.
Pivot 기반 손절 + ATR 리스크 기반 수량(ATR Sizing v2.1)
최근 swing low/high(피벗) 또는 일정 구간 fallback low/high를 기준으로 기술적 손절선을 잡고,
그 손절까지의 거리를 이용해,
“한 번의 손절 시 계좌의 riskPct%만 잃도록” 수량을 자동 계산합니다.
ATR 스파이크(갑작스러운 변동성 폭발) 구간은 진입 자체를 피하려고 합니다.
R-multiple 기반 TP + 부분 청산 + ATR Ladder 트레일링
진입 시점의 위험(R = Entry - SL) 을 기준으로
R 배수 기준 부분청산(예: 1R에서 50% 청산)
R 배수 기준 최종 TP(예: 2R)
포지션이 잘 가면 ATR 기반 트레일링 스탑(ATR Ladder) 을 적용해서,
이익 구간에서 손절선을 점점 끌어올려 BE(본전 이상) → 수익 보호 모드로 전환합니다.
세션 필터 / 뉴욕 뉴스피크 회피용 세션 회피
사용자가 정한 세션 안에서만 매매하거나,
특정 뉴스 타임(예: CPI, FOMC 근처 시간대)을 회피하도록 시간대를 차단할 수 있습니다.
1-2. English Description
Purpose
This strategy is an all-in-one auto-trading system designed mainly for leveraged/futures markets (e.g., BTC/USDT 15m) that:
Enters only on EMA re-break + Bollinger Band squeeze
Uses higher timeframe regime filter for trend direction
Sizes positions with ATR-based risk (v2.1)
Manages exits with R-multiple partial TP + final TP + ATR ladder trailing stop
Key points:
Entry Logic
Uses a fast EMA (default 9).
When price crosses above EMA and BB width is below threshold (squeeze) → Long signal.
When price crosses below EMA and BB width is below threshold → Short signal.
So it focuses on volatility contraction → re-expansion setups.
Regime Filter
Uses HTF EMA (default 200 EMA on 60m) slope + fast vs slow ATR:
Only allow long trades in uptrend + active volatility
Only allow short trades in downtrend + active volatility
This is to avoid counter-trend trading and align with macro trend.
Pivot-based SL + ATR Sizing v2.1
Sets SL using recent pivot highs/lows with a minimum buffer.
Computes risk per unit and chooses quantity so that riskPct % of equity is lost at SL.
Filters out trades during ATR spikes (abnormally large volatility).
R-multiple TP + Partial + ATR Ladder Trailing
Uses the initial risk (R) to:
Take partial profit at partialRR R (e.g., 1R at 50% size).
Set final TP at finalRR R or a fixed % TP.
Uses ATR ladder trailing to progressively tighten stops as price moves in favor.
Session / News Avoidance
Optionally trade only inside a custom session,
Or avoid specific time windows (e.g., high-impact news).
Intraday Alpha Pro - ORB + Trend/MomentumOverview
This is a pure intraday trading strategy designed for active traders seeking to capitalize on short-term price movements using two complementary modules: Opening Range Breakout (ORB) and Trend/Momentum. The strategy operates strictly within a user-defined trading session, automatically flattening all positions at session end to avoid overnight carry. It employs a points-based exit system with a trailing stop that activates only after the target is reached, ensuring disciplined risk management. Optional Martingale position sizing is included for users who prefer aggressive scaling after losses.Key Features Pure Intraday, No Carry: Trades are confined to a user-defined session (default: 9:15 AM–3:25 PM, Monday–Sunday). All positions are closed at session end.
Non-Repainting: Entries are evaluated only on confirmed bar closes (barstate.isconfirmed), ensuring no lookahead or repainting.
Dual Signal Modules: Opening Range Breakout (ORB): Captures breakouts above/below the high/low of a user-defined opening range (default: 9:15 AM–9:30 AM).
Trend/Momentum: Combines EMA (9/21) crossovers, RSI filters, volume confirmation, and an optional 200-period MA trend filter for robust trend-following signals.
Points-Based Exits: Uses fixed stop-loss (slPoints, default 16 points) and take-profit (tpPoints, default 32 points) distances. Once the take-profit level is reached, a trailing stop (trailDistPts, default 10 points) activates, ratcheting monotonically to lock in gains.
Martingale Sizing (Optional): Allows position size increases after losses (up to maxQtyInput) with a reset option after wins.
Cooldown Period: Prevents immediate re-entries after exits using a configurable cooldown (cooldownBars).
Flexible Inputs: Toggle long/short entries, enable/disable ORB or Trend/Momentum modules, and customize all parameters (e.g., MA lengths, RSI thresholds, volume multiplier).
Visuals & Alerts: Plots ORB high/low lines and moving averages (9, 21, 200). Includes alerts for long/short entries and end-of-day flattening.
How It Works Session Management: Trades only within the specified tradeSes (default: 9:15 AM–3:25 PM). The ORB module uses a separate orbSes (default: 9:15 AM–9:30 AM) to calculate breakout levels. Positions are closed automatically at session end.
Entry Conditions: ORB: Long when price closes above the ORB high after the ORB session ends; short when price closes below the ORB low.
Trend/Momentum: Long on fast MA (default EMA 9) crossing above slow MA (default EMA 21), with RSI above rsiBuy (default 55), volume exceeding volMult (default 1.5x prior bar), and price above the 200-period MA (if enabled). Shorts use the inverse.
Exit Logic: Stop-loss is set at entry price ± slPoints.
Take-profit is monitored using a running high/low since entry. Once price moves tpPoints in profit, the stop trails at trailDistPts behind the current price, adjusting only in the favorable direction (never loosening).
Exits use strategy.exit with stop only (no limit orders).
Position Sizing: Default size is baseQtyInput (minimum 1 contract). With useMartingale enabled, size increases by martingaleFactor after a loss, capped at maxQtyInput. If resetOnWin is true, size resets to baseQtyInput after a winning trade.
Cooldown: After an exit, no new trades are allowed for cooldownBars to prevent overtrading.
Futures-Safe Volume: Volume filter accommodates markets with missing or zero volume data (e.g., futures), ensuring signals aren’t blocked unnecessarily.
Inputs Trading Session: tradeSes (e.g., "0915-1525:1234567") and orbSes (e.g., "0915-0930:1234567").
Toggles: enableLong, enableShort, useORB, useTrendMom, useTrendFilter (200-MA).
Trend/Momentum: maType (EMA/SMA), fastLen (9), slowLen (21), trendLen (200), rsiLen (14), rsiBuy (55), rsiSell (45), volMult (1.5).
Exits: slPoints (16), tpPoints (32), trailDistPts (10).
Martingale: useMartingale, baseQtyInput, maxQtyInput, martingaleFactor, resetOnWin.
Cooldown: cooldownBars (1).
Legacy (Ignored): tp1RR, tp2RR, tp3RR, tp1Pct, tp2Pct, tp3Pct, stepTrail for backward compatibility.
Usage Notes Best suited for liquid, intraday markets (e.g., futures like ES, NQ, or forex pairs).
Adjust slPoints, tpPoints, and trailDistPts to match instrument volatility.
Use useMartingale cautiously, as it increases risk after losses.
Ensure tradeSes and orbSes align with your market’s trading hours.
Alerts can be set for long/short entries and EOD flattening.
The strategy avoids lookahead and repainting, ensuring reliability in live trading.
Risk Warning
Trading involves significant risk. Backtest thoroughly and use appropriate risk management. The Martingale option can amplify losses if not carefully monitored. Past performance is not indicative of future results.
FVG Ultra Assertive - Individual Filters (mtbr)FVG Ultra Assertive - Individual Filters (mtbr)
What this script offers:
This strategy detects and highlights FVGs (Fair Value Gaps) on the chart, providing traders with a visual and systematic approach to identify potential price inefficiencies. The script plots bullish and bearish FVG zones using customizable boxes and labels, allowing users to easily spot high-probability trading areas. In addition, it opens and closes simulated trades based on the detected FVGs, enabling full backtesting and strategy performance evaluation. It integrates multiple independent filters to validate the strength of each FVG signal before entering a trade.
How it works:
The script identifies:
Bullish FVGs when the current low is higher than the high of two bars ago.
Bearish FVGs when the current high is lower than the low of two bars ago.
Once an FVG is detected, it applies three optional independent filters:
GAP/ATR Filter:
Measures the FVG size relative to the Average True Range (ATR). Only gaps exceeding a user-defined multiple of ATR are considered valid.
Support/Resistance (S/R) Filter:
Uses pivot points to check if the FVG overlaps with recent high/low pivot levels within a tolerance percentage. This ensures the gap aligns with meaningful market levels.
Stochastic Filter:
Applies a stochastic oscillator to confirm momentum. Bullish FVGs are validated when stochastic values are oversold, and bearish FVGs when overbought.
After passing the selected filters, the strategy opens trades:
LONG FVG for bullish signals (buy)
SHORT FVG for bearish signals (sell)
The strategy automatically closes positions when an opposite signal appears, generating a backtest report with trades, profits, and statistics. The final bullish or bearish FVG signals are plotted as colored boxes on the chart with labels “BULL FVG” or “BEAR FVG” for immediate visual reference.
How to configure it for use:
Use GAP/ATR Filter: Enable or disable the ATR-based filter and adjust the ATR period (ATR Length) and minimum gap multiplier (Minimum Gap x ATR).
Use S/R Filter: Enable or disable the pivot-based S/R filter. Configure the pivot lookback periods (Pivot Left and Pivot Right) and the tolerance percentage (Gap Tolerance %).
Use Stochastic Filter: Enable or disable stochastic confirmation. Adjust the K and D lengths (Stoch K Length and Stoch D Length) and the overbought/oversold thresholds (Stoch Overbought and Stoch Oversold).
Colors: Customize the colors for bullish and bearish FVGs (FVG Bull and FVG Bear) to match your chart preferences.
Usage Tips:
Apply this strategy to any timeframe; shorter timeframes generate more frequent FVGs, while higher timeframes highlight stronger gaps.
Combine FVG signals with other technical analysis tools for better trade confirmation.
Use the box and label visualization to quickly scan charts for trade opportunities without cluttering the chart.
The strategy’s trades (LONG and SHORT) provide backtesting results and performance statistics for each signal.
Rawstocks 15 Minute ModelRawstocks 15-Minute Model
The Rawstocks 15-Minute Model is a precision intraday trading strategy designed for the US stock market (9:30 AM - 4:00 PM ET), optimized for the 15-minute timeframe. It combines institutional order flow concepts with Fibonacci retracements to identify high-probability reversal setups while enforcing strict risk management and session-based rules.
Key Features
Time-Based Execution
Trading Hours: 9:30 AM - 4:00 PM ET (no new entries after 4:00 PM)
Force Close: All positions auto-exit at 4:30 PM ET (prevents overnight risk)
Entry Logic
Order Block + Fib Confluence:
Identifies institutional order blocks (previous swing highs/lows)
Requires price pullback to 61.8% or 79% Fibonacci level
Liquidity Confirmation:
Waits for stop runs (liquidity sweeps) before reversal entries
Exit Rules
Stop Loss: 1x ATR (14) from entry
Take Profit: 2:1 Risk-Reward (adjustable)
Visual Signals
Green Triangle: Valid long setup (pullback to bullish OB + Fib)
Red Triangle: Valid short setup (pullback to bearish OB + Fib)
Blue/Purple Background: Highlights active trading vs. close period
How It Works
Identify the Setup
Wait for a strong impulse move (break of structure)
Mark the order block (institutional zone)
Confirm Pullback
Price must retrace to 61.8% or 79% Fib level
Must occur within trading hours (9:30 AM - 4:00 PM)
Enter on Confirmation
Long: Break of pullback candle high (stop below recent swing low)
Short: Break of pullback candle low (stop above recent swing high)
Manage the Trade
Trail stop or exit at 2R (risk-to-reward)
All positions close at 4:30 PM sharp
Stealth Trigger X🔰 Stealth Trigger X — Smart Divergence & Breakout Strategy with Trend Weakness Exit
Stealth Trigger X is a precision-engineered, non-repainting strategy designed for traders who rely on high-conviction breakouts and trend confirmation. Rather than relying on lagging or oversimplified signals, this strategy fuses divergence logic, volatility detection, volume filtering, and slope-based trend validation into one clean system — making it both responsive and reliable.
📌 Core Components (How It Works):
1. ZLEMA (Zero-Lag Exponential Moving Average):
Used as the primary trend baseline. Unlike a standard EMA, ZLEMA compensates for lag by using a double-smoothing technique that allows the strategy to detect trend direction changes sooner — especially useful in crypto and fast-moving markets.
2. Gradient Filter (Slope of ZLEMA):
Rather than waiting for price to cross a moving average, the strategy measures the slope of the ZLEMA itself. Positive slope = uptrend, negative slope = downtrend. This gives us early trend validation and exit signals based on weakening momentum.
3. Vortex Indicator (Directional Volatility):
A diff-based implementation of the Vortex Indicator is used to validate whether volatility is expanding in favor of the trend. This prevents false entries during indecision phases or low-momentum conditions.
4. White Line Bias Filter (Structural Trend):
The strategy calculates the midpoint of the highest high and lowest low over a user-defined period. This “White Line” serves as a structural trend bias, ensuring entries align with the broader context — not just momentary momentum.
5. Volume Spike Confirmation:
To avoid manipulation and choppy conditions, the strategy confirms breakouts only when the current bar’s volume exceeds the median volume of recent candles by a set multiplier. This filters out noise and ensures only high-conviction moves trigger entries.
6. Breakout with Divergence Timing:
A hybrid logic checks for price breaking previous range highs/lows (breakouts), combined with simulated divergence behavior based on RSI-like momentum. This helps align entry timing with areas where price is likely to accelerate.
⚙️ Trade Management Logic:
Entry Conditions:
Triggered when all conditions align: ZLEMA slope, Vortex confirmation, White Line bias, volume spike, and divergence-based breakout.
Take Profits:
TP1: 50% of position is closed using a limit order
TP2: Remaining 50% closed with another limit order
This split exit approach lets profits run while locking in gains early.
Exits on Trend Weakness:
If trend conditions weaken (slope flip or vortex flip), the position is exited before a full reversal occurs — helping protect capital during exhaustion phases.
Reentry Delay:
Enforces a 1-bar cooldown between exit and new entries to avoid “ping-pong” signals and maintain clean backtest results.
📊 Real-Time Dashboard (On-Chart):
Displays critical stats including:
Current position (Long, Short, or Flat)
Entry price
TP1 and TP2 hit status
Win rate (%)
Profit factor
Bars since entry
This makes live trading or visual backtesting easy to interpret and track.
✅ Key Facts:
Non-Repainting: All signals are calculated using confirmed bar data only. No future bars or security() functions are used.
Original Logic: This is not a generic mashup. Each component (ZLEMA slope, vortex diff, breakout divergence, volume spike filtering, White Line structure) is optimized to work in tandem.
Best Timeframes: 1H – 4H
Markets: Crypto, Forex, Indices — any market with trending behavior and measurable volume
⚠️ Disclaimer:
This strategy is for educational purposes only. It is not financial advice or a recommendation to trade. Past performance does not guarantee future results. Always trade with proper risk management and backtest strategies before live deployment.
🧠 Summary:
Stealth Trigger X is built for traders who want:
Precision entries
Early trend exits
Reliable backtest integrity
Clean logic with no repainting
It is especially effective in breakout environments where volume and momentum align — and excels at avoiding weak or manipulated trends.
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview
MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters.
※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance.
Strategy Objectives
Identify early trend transitions with high probability
Filter entries using volume dynamics to validate momentum
Maintain continuous exposure using a reversal-style model
Apply a consistent 1:1.5 risk-to-reward ratio per trade
Key Features
Integrated MACD and volume oscillator filtering
Zero repainting (all signals confirmed on closed candles)
Automatic position flipping for seamless direction shifts
Stop-loss and take-profit based on recent structural highs/lows
Trading Rules
Long Entry Conditions
MACD crosses above the zero line (BBO Buy arrow)
Volume oscillator is positive (short EMA > long EMA)
MACD is above the signal line
Close any existing short and enter a new long
Short Entry Conditions
MACD crosses below the zero line (BBO Sell arrow)
Volume oscillator is positive
MACD is below the signal line
Close any existing long and enter a new short
Exit Rules
Take Profit (TP) = Entry ± (risk distance × 1.5)
Stop Loss (SL) = Recent swing low (for long) or high (for short)
Early Exit = Triggered when a reversal signal appears (flip logic)
Risk Management Parameters
Pair: ETH/USD
Timeframe: 10-minute
Starting Capital: $3,000
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted for sustainable practice)
Total Trades: 312 (backtest on selected dataset)
※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions.
Parameters & Configurations
Volume Short Length: 6
Volume Long Length: 12
MACD Fast Length: 11
MACD Slow Length: 21
Signal Smoothing: 10
Oscillator MA Type: SMA
Signal Line MA Type: SMA
Visual Support
Green arrow = Long entry
Red arrow = Short entry
MACD lines, signal line, and histogram
SL/TP markers plotted directly on the chart
Strategic Advantages & Uniqueness
Volume filtering eliminates low-participation, weak signals
Structurally aligned SL/TP based on recent market pivots
No repainting — decisions are made only on closed candles
Always in the market due to the reversal-style framework
Inspirations & Attribution
This strategy is inspired by the excellent work of:
Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol”
Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation.
HasanRifat – “MACD Fake Filter ”
Introduced a signal filter using MACD wave height averaging to reduce false positives.
This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system.
Summary
MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions.
100% mechanical — no discretionary input required
Designed for high-confidence entries
Can be extended with filters, alerts, or trailing stops
※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.
Reversal & Breakout Strategy with ORB### Reversal & Breakout Strategy with ORB
This strategy combines three distinct trading approaches—reversals, trend breakouts, and opening range breakouts (ORB)—into a single, cohesive system. The goal is to capture high-probability setups across different market conditions, leveraging a mashup of technical indicators for confirmation and risk management. Below, I’ll explain why this combination works, how the components interact, and how to use it effectively.
#### Why the Mashup?
- **Reversals**: Identifies overextended moves using RSI (overbought/oversold) and SMA50 crosses, filtered by VWAP and SMA200 trend direction. This targets mean-reversion opportunities in trending markets.
- **Breakouts**: Uses EMA9/EMA20 crossovers with VWAP and SMA200 confirmation to catch momentum-driven trend continuations.
- **Opening Range Breakout (ORB)**: Detects early momentum by breaking the high/low of a user-defined opening range (default: 15 bars) with volume confirmation. This adds a time-based edge, ideal for intraday trading.
The synergy comes from blending these methods: reversals catch pullbacks, breakouts ride trends, and ORB exploits early volatility—all filtered by trend (SMA200) and anchored by VWAP for context.
#### How It Works
1. **Indicators**:
- **EMA9/EMA20**: Fast-moving averages for breakout signals.
- **SMA50**: Medium-term trend filter for reversals.
- **SMA200**: Long-term trend direction to align trades.
- **RSI (14)**: Measures overbought (>70) or oversold (<30) conditions.
- **VWAP**: Acts as a dynamic support/resistance level.
- **ATR (14)**: Sets stop-loss distance (default: 1.5x ATR).
- **Volume**: Confirms ORB breakouts (1.5x average volume of opening range).
2. **Entry Conditions**:
- **Long**: Triggers on reversal (SMA50 cross + RSI < 30 + below VWAP + uptrend), breakout (EMA9 > EMA20 + above VWAP + uptrend), or ORB (break above opening range high + volume).
- **Short**: Triggers on reversal (SMA50 cross + RSI > 70 + above VWAP + downtrend), breakout (EMA9 < EMA20 + below VWAP + downtrend), or ORB (break below opening range low + volume).
3. **Risk Management**:
- Risks 5% of equity per trade (based on the initial capital set in the strategy tester).
- Stop-loss: Based on lowest low/highest high over 7 bars ± 1.5x ATR.
- Targets: Two exits at 1:1 and 1:2 risk:reward (50% of position at each).
- Break-even: Stop moves to entry price after the first target is hit.
4. **Backtesting Settings**:
- Commission: Hardcoded at 0.1% per trade (realistic for most brokers).
- Slippage: Hardcoded at 2 ticks (realistic for most markets).
- Tested on datasets yielding 100+ trades (e.g., 2-min or 5-min charts over months).
#### How to Use It
- **Timeframe**: Works best on intraday (2-min, 5-min) or daily charts. Adjust `Opening Range Bars` (e.g., 15 bars = 30 min on 2-min chart) for your timeframe.
- **Settings**:
- Set your initial equity in the TradingView strategy tester’s "Properties" tab under "Initial Capital" (e.g., $10,000). The script automatically risks 5% of this equity per trade.
- Adjust `Stop Loss ATR Multiplier` or `Risk:Reward Targets` based on your risk tolerance.
- Note that commission (0.1%) and slippage (2 ticks) are fixed in the script for backtesting consistency.
- **Execution**: Enter on signal, monitor plotted stop (red) and targets (green/blue). The strategy supports pyramiding (up to 2 positions) for scaling into trends.
#### Backtesting Notes
Results are realistic with commission (0.1%) and slippage (2 ticks) included. For a sufficient sample, test on volatile instruments (e.g., stocks, forex) over 3-6 months on lower timeframes. The default 1.5x ATR stop may seem wide, but it’s justified to avoid premature exits in volatile markets—feel free to tweak it with justification. The script assumes an initial capital of $10,000 in the strategy tester for the 5% risk calculation (e.g., $500 risk per trade); adjust this in the "Properties" tab as needed.
This mashup isn’t just a random mix; it’s a deliberate fusion of complementary strategies, offering traders flexibility across market phases. Questions? Let me know!
Fibonacci Retracement Strategy for CryptoThe Enhanced Fibonacci Retracement Strategy is designed to help traders capitalize on key Fibonacci levels for both long and short trades. This script automatically identifies significant swing highs and lows within a customizable lookback period and dynamically plots Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100%) as support and resistance levels.
Key Features:
Automatic Fibonacci Levels:
The script identifies the highest high and lowest low over a user-defined lookback period to calculate Fibonacci retracement levels.
Dual-Directional Trading:
Long Trades: Triggered when the price crosses above the 61.8% retracement level, anticipating a reversal.
Short Trades: Triggered when the price crosses below the 38.2% retracement level, capturing potential downward movement.
Compact Line Option:
Users can toggle "Compact Fibonacci Lines" to reduce visual clutter on the chart, making the lines shorter and easier to interpret.
Dynamic Alerts:
Alerts are embedded directly into the strategy logic for entry and exit points.
Long Entry: Triggered when the price bounces above the 61.8% level.
Long Exit: Triggered when the price reaches the 23.6% level.
Short Entry: Triggered when the price crosses below the 38.2% level.
Short Exit: Triggered when the price reaches the 78.6% level.
Clear Visualization:
Fibonacci levels are plotted with distinct colors and dashed lines (optional compact view),
providing traders with clear and actionable levels to make decisions.
Inputs:
Lookback Period: Number of candles to calculate swing highs and lows.
Plot Fibonacci Levels: Toggle to enable/disable plotting levels.
Compact Fibonacci Lines: Reduce the length of Fibonacci lines for a cleaner chart.
How It Works:
The strategy identifies a high-low range within the lookback period.
Fibonacci levels are calculated based on the range and plotted on the chart.
Long Trade Example:
Enter when the price crosses above the 61.8% level.
Exit when the price reaches the 23.6% level.
Short Trade Example:
Enter when the price crosses below the 38.2% level.
Exit when the price reaches the 78.6% level.
Best Use Cases:
Trending Markets: Use retracements to time entries in the direction of the trend.
Range-Bound Markets: Identify and trade reversals near key Fibonacci levels.
Important Notes:
This strategy is not financial advice and should be backtested thoroughly before live trading.
Risk management is crucial! Consider using stop-loss orders for protection.
Customize inputs to suit your preferred timeframe and trading style.
Gabriel's Witcher Strategy [65 Minute Trading Bot]Strategy Description: Gabriel's Witcher Strategy
Author: Gabriel
Platform: TradingView Pine Script (Version 5)
Backtested Asset: Avalanche (Coinbase Brokage for Volume adjustment)
Timeframe: 65 Minutes
Strategy Type: Comprehensive Trend-Following and Momentum Strategy with Scalping and Risk Management Features
Overview
Gabriel's Witcher Strategy is an advanced trading bot designed for the Avalanche pair on a 65-minute timeframe. This strategy integrates a multitude of technical indicators to identify and execute high-probability trading opportunities. By combining trend-following, momentum, volume analysis, and range filtering, the strategy aims to capitalize on both long and short market movements. Additionally, it incorporates scalping mechanisms and robust risk management features, including take-profit (TP) levels and commission considerations, to optimize trade performance and profitability.
====Key Components====
Source Selection:
Custom Source Flexibility: Allows traders to select from a wide range of price and volume sources (e.g., Close, Open, High, Low, HL2, HLC3, OHLC4, VWAP, On-Balance Volume, etc.) for indicator calculations, enhancing adaptability to various trading styles.
Various curves of Volume Analysis are employed:
Tick Volume Calculation: Utilizes tick volume as a fallback when actual volume data is unavailable, ensuring consistency across different data feeds.
Volume Indicators: Incorporates multiple volume-based indicators such as On-Balance Volume (OBV), Accumulation/Distribution (AccDist), Negative Volume Index (NVI), Positive Volume Index (PVI), and Price Volume Trend (PVT) for comprehensive market analysis.
Trend Indicators:
ADX (Average Directional Index): Measures trend strength using either the Classic or Masanakamura method, with customizable length and threshold settings. It's used to open positions when the mesured trend is strong, or exit when its weak.
Jurik Moving Average (JMA): A smooth moving average that reduces lag, configurable with various parameters including source, resolution, and repainting options.
Parabolic SAR: Identifies potential reversals in market trends with adjustable start, increment, and maximum settings.
Custom Trend Indicator: Utilizes highest and lowest price points over a specified timeframe to determine current and previous trend bases, visually represented with color-filled areas.
Momentum Indicators:
Relative Strength Index (RSI): Evaluates the speed and change of price movements, smoothed with a custom length and source. It's used to not enter the market for shorts in oversold or longs for overbought conditions, and to enter for long in oversold or shorts for overboughts.
Momentum-Based Calculations: Employs both Double Exponential Moving Averages (DEMA) on a MACD-based RSI to enhance momentum signal accuracy which is then further accelerated by a Hull MA. This is the technical analysis tool that determines bearish or bullish momentum.
OBV-Based Momentum Conditions: Uses two exponential moving averages of OBV to determine bullish or bearish momentum shifts, anomalities, breakouts where banks flow their funds in or Smart Money Concepts trade.
Moving Averages (MA):
Multiple MA Types: Includes Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), Hull Moving Average (HMA), and Volume-Weighted Moving Average (VWMA), selectable via input parameters.
MA Speed Calculation: Measures the percentage change in MA values to determine the direction and speed of the trend.
Range Filtering:
Variance-Based Filter: Utilizes variance and moving averages to filter out trades during low-volatility periods, enhancing trade quality.
Color-Coded Range Indicators: Visualizes range filtering with color changes on the chart for quick assessment.
Scalping Mechanism:
Heikin-Ashi Candles: Optionally uses Heikin-Ashi candles for smoother price action analysis.
EMA-Based Trend Detection: Employs fast, medium, and slow EMAs to determine trend direction and potential entry points.
Fractal-Based Filtering: Detects regular or BW (Black & White) fractals to confirm trade signals.
Take Profit (TP) Management:
Dynamic TP Levels: Calculates TP levels based on the number of consecutive long or short entries, adjusting targets to maximize profits.
TP Signals and Re-Entry: Plots TP signals on the chart and allows for automatic re-entry upon TP hit, maintaining continuous trade flow.
Risk Management:
Commission Integration: Accounts for trading commissions to ensure net profitability.
Position Sizing: Configured to use a percentage of equity for each trade, adjustable via input parameters.
Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends.
Alerts and Visual Indicators:
Buy/Sell Signals: Plots visual indicators (triangles and flags) on the chart to signify entry and TP points.
Bar Coloring: Changes bar colors based on ADX and trend conditions for immediate visual cues.
Price Levels: Marks significant price levels related to TP and position entries with cross styles.
Input Parameters
Source Settings:
Custom Sources (srcinput): Choose from various price and volume sources to tailor indicator calculations.
ADX Settings:
ADX Type (ADX_options): Select between 'CLASSIC' and 'MASANAKAMURA' methods.
ADX Length (ADX_len): Defines the period for ADX calculation.
ADX Threshold (th): Sets the minimum ADX value to consider a strong trend.
RSI Settings:
RSI Length (len_3): Period for RSI calculation.
RSI Source (src_3): Source data for RSI.
Trend Strength Settings:
Channel Length (n1): Period for trend channel calculation.
Average Length (n2): Period for smoothing trend strength.
Jurik Moving Average (JMA) Settings:
JMA Source (inp): Source data for JMA.
JMA Resolution (reso): Timeframe for JMA calculation.
JMA Repainting (rep): Option to allow JMA to repaint.
JMA Length (lengths): Period for JMA.
Parabolic SAR Settings:
SAR Start (start): Initial acceleration factor.
SAR Increment (increment): Acceleration factor increment.
SAR Maximum (maximum): Maximum acceleration factor.
SAR Point Width (width): Visual width of SAR points.
Trend Indicator Settings:
Trend Timeframe (timeframe): Period for trend indicator calculations.
Momentum Settings:
Source Type (srcType): Select between 'Price' and 'VWAP'.
Momentum Source (srcPrice): Source data for momentum calculations.
RSI Length (rsiLen): Period for momentum RSI.
Smooth Length (sLen): Smoothing period for momentum RSI.
OBV Settings:
OBV Line 1 (e1): EMA period for OBV line 1.
OBV Line 2 (e2): EMA period for OBV line 2.
Moving Average (MA) Settings:
MA Length (length): Period for MA calculations.
MA Type (matype): Select MA type (1: SMA, 2: EMA, 3: HMA, 4: WMA, 5: VWMA).
Range Filter Settings:
Range Filter Length (length0): Period for range filtering.
Range Filter Multiplier (mult): Multiplier for range variance.
Take Profit (TP) Settings:
TP Long (tp_long0): Percentage for long TP.
TP Short (tp_short0): Percentage for short TP.
Scalping Settings:
Scalping Activation (ACT_SCLP): Enable or disable scalping.
Scalping Length (HiLoLen): Period for scalping indicators.
Fast EMA Length (fastEMAlength): Period for fast EMA in scalping.
Medium EMA Length (mediumEMAlength): Period for medium EMA in scalping.
Slow EMA Length (slowEMAlength): Period for slow EMA in scalping.
Filter (filterBW): Enable or disable additional fractal filtering.
Pullback Lookback (Lookback): Number of bars for pullback consideration.
Use Heikin-Ashi Candles (UseHAcandles): Option to use Heikin-Ashi candles for smoother trend analysis.
Strategy Logic
Indicator Calculations:
Volume and Source Selection: Determines the primary data source based on user input, ensuring flexibility and adaptability.
ADX Calculation: Computes ADX using either the Classic or Masanakamura method to assess trend strength.
RSI Calculation: Evaluates market momentum using RSI, further smoothed with custom periods.
Trend Strength Assessment: Utilizes trend channel and average lengths to gauge the robustness of current trends.
Jurik Moving Average (JMA): Smooths price data to reduce lag and enhance trend detection.
Parabolic SAR: Identifies potential trend reversals with adjustable parameters for sensitivity.
Momentum Analysis: Combines RSI with DEMA and OBV-based conditions to confirm bullish or bearish momentum.
Moving Averages: Employs multiple MA types to determine trend direction and speed.
Range Filtering: Filters out low-volatility periods to focus on high-probability trades.
Trade Conditions:
Long Entry Conditions:
ADX Confirmation: ADX must be above the threshold, indicating a strong uptrend.
RSI and Momentum: RSI below 70 and positive momentum signals.
JMA and SAR: JMA indicates an uptrend, and Parabolic SAR is below the price.
Trend Indicator: Confirms the current trend direction.
Range Filter: Ensures market is in an upward range.
Scalping Option: If enabled, additional scalping conditions must be met.
Short Entry Conditions:
ADX Confirmation: ADX must be above the threshold, indicating a strong downtrend.
RSI and Momentum: RSI above 30 and negative momentum signals.
JMA and SAR: JMA indicates a downtrend, and Parabolic SAR is above the price.
Trend Indicator: Confirms the current trend direction.
Range Filter: Ensures market is in a downward range.
Scalping Option: If enabled, additional scalping conditions must be met.
Position Management:
Entry Execution: Places long or short orders based on the identified conditions and user-selected position types (Longs, Shorts, or Both).
Take Profit (TP): Automatically sets TP levels based on predefined percentages, adjusting dynamically with consecutive trades.
Re-Entry Mechanism: Allows for automatic re-entry upon TP hit, maintaining active trading positions.
Exit Conditions: Closes positions when TP levels are reached or when opposing trend signals are detected.
Visual Indicators:
Bar Coloring: Highlights bars in green for bullish conditions, red for bearish, and orange for neutral.
Plotting Price Levels: Marks significant price levels related to TP and trade entries with cross symbols.
Signal Shapes: Displays triangle and flag shapes on the chart to indicate trade entries and TP hits.
Alerts:
Custom Alerts: Configured to notify traders of long entries, short entries, and TP hits, enabling timely trade management and execution.
Usage Instructions
Setup:
Apply the Strategy: Add the script to your TradingView chart set to BTCUSDT with a 65-minute timeframe.
Configure Inputs: Adjust the input parameters under their respective groups (e.g., Source Settings, ADX, RSI, Trend Strength, etc.) to match your trading preferences and risk tolerance.
Position Selection:
Choose Position Type: Use the Position input to select Longs, Shorts, or Both based on your market outlook.
Execution: The strategy will automatically execute and manage positions according to the selected type, ensuring targeted trading actions.
Signal Interpretation:
Buy Signals: Blue triangles below the bars indicate potential long entry points.
Sell Signals: Red triangles above the bars indicate potential short entry points.
Take Profit Signals: Flags above or below the bars signify TP hits for long and short positions, respectively.
Bar Colors: Green bars suggest bullish conditions, red bars indicate bearish conditions, and orange bars represent neutral or consolidating markets.
Risk Management:
Default Position Size: Set to 100% of equity. Adjust the default_qty_value as needed for your risk management strategy.
Commission: Accounts for a 0.1% commission per trade. Adjust the commission_value to match your broker's fees.
Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends.
Backtesting and Optimization:
Historical Testing: Utilize TradingView's backtesting features to evaluate the strategy's performance over historical data.
Parameter Tuning: Optimize input parameters to align the strategy with current market dynamics and personal trading objectives.
Alerts Configuration:
Set Up Alerts: Enable and configure alerts based on the predefined alertcondition statements to receive real-time notifications of trade signals and TP hits.
Additional Features
Comprehensive Indicator Integration: Combines multiple technical indicators to provide a holistic view of market conditions, enhancing trade signal accuracy.
Scalping Options: Offers an optional scalping mechanism to capitalize on short-term price movements, increasing trading flexibility.
Dynamic Take Profit Levels: Adjusts TP targets based on the number of consecutive trades, maximizing profit potential during favorable trends.
Advanced Volume Analysis: Utilizes various volume indicators to confirm trend strength and validate trade signals.
Customizable Range Filtering: Filters trades based on market volatility, ensuring trades are taken during optimal conditions.
Heikin-Ashi Candle Support: Optionally uses Heikin-Ashi candles for smoother price action analysis and reduced noise.
====Recommendations====
Thorough Backtesting:
Historical Performance: Before deploying the strategy in a live trading environment, perform comprehensive backtesting to understand its performance under various market conditions. These are the premium settings for Avalanche Coinbase.
Optimization: Regularly review and adjust input parameters to ensure the strategy remains effective amidst changing market volatility and trends. Backtest the strategy for each crypto and make sure you are in the right brokage when using the volume sources as it will affect the overall outcome of the trading strategy.
Risk Management:
Position Sizing: Adjust the default_qty_value to align with your risk tolerance and account size.
Stop-Loss Implementation: Although the strategy includes TP levels, they're also consided to be a stop-loss mechanisms to protect against adverse market movements.
Commission Adjustment: Ensure the commission_value accurately reflects your broker's fees to maintain realistic backtesting results. Generally, 0.1~0.3% are most of the average broker's comission fees.
Slipage: The slip comssion is 1 Tick, since the strategy is adjusted to only enter/exit on bar close where most positions are available.
Continuous Monitoring:
Strategy Performance: Regularly monitor the strategy's performance to ensure it operates as expected and make adjustments as needed. A max-drawndown hit has been added to operate in case the premium Avalanche settings go wrong, but you can turn it off an adjust the equity percentage to 50% if you are confortable with the high volatile max-drown or even 100% if your account allows you to borrow cash.
Customization:
Indicator Parameters: Tailor indicator settings (e.g., ADX length, RSI period, MA types) to better fit your specific trading style and market conditions.
Scalping Options: Enable or disable scalping based on your trading preferences and risk appetite.
Conclusion
Gabriel's Witcher Strategy is a robust and versatile trading solution designed to navigate the complexities of the Crypto market. By integrating a wide array of technical indicators and providing extensive customization options, this strategy empowers traders to execute informed and strategic trades. Its comprehensive approach, combining trend analysis, momentum detection, volume evaluation, and range filtering, ensures that trades are taken during optimal market conditions. Additionally, the inclusion of scalping features and dynamic take-profit management enhances the strategy's adaptability and profitability potential. Unlike any trading strategy, with both diligent testing and continuous monitoring under the strategy tester, it's possible to achieve sustained success by adjusting the settings to the individual Crypto that need it, for example this one is preset for Avalanche Coinbase 65 Miinutes but it can be adjust for BTCUSD or Etherium if you backtest and search for the right settings.
Strategic Multi-Step Supertrend - Strategy [presentTrading]The code is mainly developed for me to stimulate the multi-step taking profit function for strategies. The result shows the drawdown can be reduced but at the same time reduced the profit as well. It can be a heuristic for futures leverage traders.
█ Introduction and How it is Different
The "Strategic Multi-Step Supertrend" is a trading strategy designed to leverage the power of multiple steps to optimize trade entries and exits across the Supertrend indicator. Unlike traditional strategies that rely on single entry and exit points, this strategy employs a multi-step approach to take profit, allowing traders to lock in gains incrementally. Additionally, the strategy is adaptable to both long and short trades, providing a comprehensive solution for dynamic market conditions.
This template strategy lies in its dual Supertrend calculation, which enhances the accuracy of trend detection and provides more reliable signals for trade entries and exits. This approach minimizes false signals and increases the overall profitability of trades by ensuring that positions are entered and exited at optimal points.
BTC 6h L/S Performance
█ Strategy, How It Works: Detailed Explanation
The "Strategic Multi-Step Supertrend Trader" strategy utilizes two Supertrend indicators calculated with different parameters to determine the direction and strength of the market trend. This dual approach increases the robustness of the signals, reducing the likelihood of entering trades based on false signals. Here is a detailed breakdown of how the strategy operates:
🔶 Supertrend Indicator Calculation
The Supertrend indicator is a trend-following overlay on the price chart, typically used to identify the direction of the trend. It is calculated using the Average True Range (ATR) to ensure that the indicator adapts to market volatility. The formula for the Supertrend indicator is:
Upper Band = (High + Low) / 2 + (Factor * ATR)
Lower Band = (High + Low) / 2 - (Factor * ATR)
Where:
- High and Low are the highest and lowest prices of the period.
- Factor is a user-defined multiplier.
- ATR is the Average True Range over a specified period.
The Supertrend changes its direction based on the closing price in relation to these bands.
🔶 Entry-Exit Conditions
The strategy enters long positions when both Supertrend indicators signal an uptrend, and short positions when both indicate a downtrend. Specifically:
- Long Condition: Supertrend1 < 0 and Supertrend2 < 0
- Short Condition: Supertrend1 > 0 and Supertrend2 > 0
- Long Exit Condition: Supertrend1 > 0 and Supertrend2 > 0
- Short Exit Condition: Supertrend1 < 0 and Supertrend2 < 0
🔶 Multi-Step Take Profit Mechanism
The strategy features a multi-step take profit mechanism, which allows traders to lock in profits incrementally. This is achieved through four user-configurable take profit levels. For each level, the strategy specifies a percentage increase (for long trades) or decrease (for short trades) in the entry price at which a portion of the position is exited:
- Step 1: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent1 / 100)
- Step 2: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent2 / 100)
- Step 3: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent3 / 100)
- Step 4: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent4 / 100)
This staggered exit strategy helps in locking profits at multiple levels, thereby reducing risk and increasing the likelihood of capturing the maximum possible profit from a trend.
BTC Local
█ Trade Direction
The strategy is highly flexible, allowing users to specify the trade direction. There are three options available:
- Long Only: The strategy will only enter long trades.
- Short Only: The strategy will only enter short trades.
- Both: The strategy will enter both long and short trades based on the Supertrend signals.
This flexibility allows traders to adapt the strategy to various market conditions and their own trading preferences.
█ Usage
1. Add the strategy to your trading platform and apply it to the desired chart.
2. Configure the take profit settings under the "Take Profit Settings" group.
3. Set the trade direction under the "Trade Direction" group.
4. Adjust the Supertrend settings in the "Supertrend Settings" group to fine-tune the indicator calculations.
5. Monitor the chart for entry and exit signals as indicated by the strategy.
█ Default Settings
- Use Take Profit: True
- Take Profit Percentages: Step 1 - 6%, Step 2 - 12%, Step 3 - 18%, Step 4 - 50%
- Take Profit Amounts: Step 1 - 12%, Step 2 - 8%, Step 3 - 4%, Step 4 - 0%
- Number of Take Profit Steps: 3
- Trade Direction: Both
- Supertrend Settings: ATR Length 1 - 10, Factor 1 - 3.0, ATR Length 2 - 11, Factor 2 - 4.0
These settings provide a balanced starting point, which can be customized further based on individual trading preferences and market conditions.






















