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Sunil 3 Inside Up Down Strategy Different Bar ExitStrategy Name: Sunil 3 Inside Up Down Strategy with Different Bar Exit Overview: This strategy aims to capitalize on market movements by leveraging candlestick pattern recognition, dynamic support and resistance levels, and multiple technical indicators. It incorporates both trend-following and reversal mechanisms to determine optimal entry and exit points. Key Features: Candlestick Patterns: The strategy identifies two primary candlestick patterns: Three Inside Up (Bullish Reversal) Three Inside Down (Bearish Reversal) These patterns act as the key signals for entering long and short trades, respectively. Dynamic Support and Resistance: Support and resistance levels are calculated dynamically based on a user-defined lookback period. These levels adapt to changing market conditions, offering key reference points for trade entries and exits. Trend Filter (SMA): A Simple Moving Average (SMA) is used to determine the market's general trend. The strategy enters long trades when the price is above the SMA and short trades when the price is below it. RSI Filter: The Relative Strength Index (RSI) is employed to filter out trades in overbought or oversold conditions. This helps avoid entering trades when the market may be overextended. Risk/Reward Management: The strategy utilizes an adjustable Risk/Reward Ratio to calculate potential take-profit levels. It dynamically adjusts stop-loss and take-profit levels using the Average True Range (ATR), considering market volatility. A Trailing Stop is applied to lock in profits when the price moves favorably. Automated Trade Alerts: The strategy integrates automated trading functionality via TradingView alerts. Users can set up custom alerts for entering and exiting positions with JSON webhook messages for integration with external trading systems. Trade Direction: The strategy allows flexibility in its trade direction. It can be set to trade long-only, short-only, or both long and short, providing users with a range of options depending on their market outlook. Position Tracking: The strategy tracks long and short positions and ensures that exits occur only when the market has moved favorably. It avoids triggering exits on the same bar as the entry, and resets position tracking only after the bar closes. Risk Management: Stop-loss levels are based on the dynamic support and resistance levels and adjusted by a multiple of ATR. A trailing stop mechanism is employed once a trade has moved in the desired direction, allowing the strategy to capture profits while reducing risk as the market moves. User Inputs: Risk/Reward Ratio: Adjustable to fine-tune profit targets. ATR Length and Multiplier: Customize the ATR used for stop-loss and take-profit calculations. RSI Length: Adjust the RSI period to better match the asset's behavior. Trade Direction: Configure whether the strategy should take long, short, or both types of positions. Alert Messaging: Custom JSON messages are available for both long and short entries and exits, facilitating automated trading with brokers or external platforms via TradingView’s webhook feature. This strategy is designed to take advantage of both trend-following and reversal opportunities in the market, using a combination of price action and technical indicators. The flexibility of the strategy allows for various trade setups and custom risk management, making it suitable for different market conditions.
Strategi Pine Script™
oleh sunilsenapati
Reversal Candlestick Strategy by @tradingbauhausReversal Candlestick Strategy by @tradingbauhaus This strategy is designed to identify candlestick reversal patterns in the market, confirm them with a trend filter, and execute trades with dynamic risk management. Here’s a detailed explanation of how it works step by step: 1. Identify Candlestick Reversal Patterns The strategy looks for specific candlestick patterns that indicate potential reversals in price direction. These patterns are divided into bullish (indicating a potential upward reversal) and bearish (indicating a potential downward reversal). Bullish Patterns: Hammer: A candle with a small body and a long lower shadow, appearing in a downtrend. Inverted Hammer: A candle with a small body and a long upper shadow, appearing in a downtrend. Bullish Engulfing: A two-candle pattern where the second candle (bullish) completely engulfs the body of the first candle (bearish). Tweezer Bottom: Two candles with equal lows, where the first is bearish and the second is bullish. Bearish Patterns: Shooting Star: A candle with a small body and a long upper shadow, appearing in an uptrend. Hanging Man: A candle with a small body and a long lower shadow, appearing in an uptrend. Bearish Engulfing: A two-candle pattern where the second candle (bearish) completely engulfs the body of the first candle (bullish). Tweezer Top: Two candles with equal highs, where the first is bullish and the second is bearish. 2. Apply Trend Filters To ensure the patterns occur in the context of a strong trend, the strategy uses a trend filter based on the Stochastic RSI. This helps confirm whether the market is overbought or oversold, increasing the reliability of the signals. Bullish Condition: The Stochastic RSI is above a threshold (e.g., 80), indicating the market is overbought and a reversal to the downside is likely. Bearish Condition: The Stochastic RSI is below a threshold (e.g., 20), indicating the market is oversold and a reversal to the upside is likely. 3. Dynamic Risk Management The strategy uses the Average True Range (ATR) to calculate dynamic stop loss and take profit levels. This ensures that the risk management adapts to the current market volatility. Take Profit: Calculated as a multiple of the ATR (e.g., 1.5x) above the entry price for long trades or below the entry price for short trades. Stop Loss: Calculated as a multiple of the ATR (e.g., 1.0x) below the entry price for long trades or above the entry price for short trades. 4. Execute Trades The strategy executes trades based on the detected patterns and confirmed trend conditions. Bullish Trades (Buy): When a bullish pattern (e.g., Hammer, Bullish Engulfing) is detected and the trend filter confirms a potential upward reversal, the strategy enters a long position. The trade is closed when the price reaches either the take profit or stop loss level. Bearish Trades (Sell): When a bearish pattern (e.g., Shooting Star, Bearish Engulfing) is detected and the trend filter confirms a potential downward reversal, the strategy enters a short position. The trade is closed when the price reaches either the take profit or stop loss level. 5. Visualize Patterns on the Chart The strategy adds labels to the chart to mark where the patterns are detected: Green Labels: Bullish patterns (e.g., Hammer, Bullish Engulfing). Red Labels: Bearish patterns (e.g., Shooting Star, Bearish Engulfing). This helps traders visually identify the signals generated by the strategy. 6. Example Workflow Market Condition: The market is in a downtrend, and the Stochastic RSI is below 20 (oversold). Pattern Detection: A Hammer pattern is detected. Trend Filter Confirmation: The Stochastic RSI confirms the market is oversold, increasing the likelihood of a reversal. Trade Execution: The strategy enters a long position. Risk Management: The trade is protected by a stop loss and take profit calculated using the ATR. Exit: The trade is closed when the price reaches either the take profit or stop loss level. Advantages of the Strategy Reliable Patterns: Uses well-known candlestick patterns that are widely recognized in technical analysis. Trend Confirmation: Adds a trend filter to reduce false signals and increase accuracy. Dynamic Risk Management: Adapts to market volatility using the ATR for stop loss and take profit levels. Visualization: Provides clear labels on the chart for easy identification of patterns. Considerations False Signals: Like any strategy, it may generate false signals in sideways or choppy markets. Optimization: Parameters (e.g., ATR multipliers, RSI thresholds) should be optimized for specific assets and timeframes. Backtesting: Always test the strategy on historical data before using it in live trading. Conclusion Reversal Candlestick Strategy by @tradingbauhaus is a systematic approach to trading reversals using candlestick patterns, trend filters, and dynamic risk management. It is designed to identify high-probability setups and manage risk effectively, making it a valuable tool for traders looking to capitalize on market reversals.
Strategi Pine Script™
oleh tradingbauhaus
Momentum Range Break (MRB) Strategy SOLUSD - JaysalgohutAbout The Momentum Range Break Strategy Developed by JaysAlgoHut , the Momentum Range Break strategy is designed for short-term trading on time frames between 5 minutes to 30 minutes. It focuses on capturing price movements that break and close above the opening range, with key factors including strength and momentum, as identified by the Stochastic Momentum Oscillator and volatility expansion, indicated by the Bollinger Band Width Percentile (BBWP). These elements have yielded win rates of 65%–80% for numerous cryptocurrency trading pairs, making this strategy an appealing choice for traders looking to capitalize on high-probability setups. The Edge The MRB strategy capitalizes on the Opening Range Breakout (ORB) concept, paired with: Fibonacci ranges for both upward and downward from the current price Stochastic Momentum Oscillator to identify strength and momentum Bollinger Band Width Percentile (BBWP) particularly for Entry Condition A setups "The ORB strategy, popularized by Toby Crabel in his 1990 book “Day Trading with Short-Term Price Patterns and Opening Range Breakout,” forms the foundation of this blueprint. By combining it with modern indicators, the Momentum Range Break strategy aims to deliver actionable insights for short-term scalping opportunities. Start your trading journey today with the confidence and precision this strategy offers. Break the range and ride the momentum! Visit jaysalgohut.com for details on this strategy.
Strategi Pine Script™
oleh jaysalgohut
Custom Volatility StrategyThe TTM Squeeze Indicator is a popular technical analysis tool designed to identify periods of consolidation and potential breakout points in the market. It helps traders recognize when a market is "squeezing" into a narrow range and about to make a significant move, either up or down. How the TTM Squeeze Works: Volatility Component (Bollinger Bands and Keltner Channels): The TTM Squeeze is based on the relationship between Bollinger Bands (BB) and Keltner Channels (KC). A "squeeze" occurs when the Bollinger Bands contract and move inside the Keltner Channels, indicating low volatility. When the Bollinger Bands expand beyond the Keltner Channels, it signals the end of the squeeze and a potential start of a trending move. Momentum Component: The indicator uses a histogram to show the direction and strength of momentum. Positive bars on the histogram indicate bullish momentum, while negative bars indicate bearish momentum. Dots on the Zero Line: Red dots: The market is in a squeeze (low volatility). Green dots: The squeeze is released (increased volatility).
Strategi Pine Script™
oleh guptamilan7
Fair Value Breakout Strategy by @tradingbauhausThe **Breakaway Fair Value Gaps (BFVG) Strategy** is a trading approach designed to identify and capitalize on significant price gaps that occur within the context of a strong trend. These gaps, known as Fair Value Gaps (FVGs), represent areas where the price moves sharply, leaving behind an imbalance between supply and demand. When these gaps occur during a breakout or a strong trend continuation, they are referred to as **Breakaway Fair Value Gaps (BFVGs)**. This strategy uses these gaps as key levels for entering trades and managing risk. --- ### **Key Concepts** 1. **Fair Value Gap (FVG)**: - A FVG occurs when the price moves sharply, leaving a gap between the high/low of previous candles and the current candle. - It represents an imbalance in the market where buyers or sellers are overwhelmingly dominant. 2. **Breakaway Fair Value Gap (BFVG)**: - A BFVG is a FVG that occurs during a strong trend or breakout, signaling potential continuation of the trend. - It acts as a key level for entering trades in the direction of the trend. 3. **Mitigation Levels**: - These are price levels where the market might retrace to "fill the gap" before continuing in the direction of the trend. - The strategy monitors these levels to determine if the gap is still valid or if it has been mitigated. --- ### **Strategy Rules** #### **Entry Conditions** 1. **Bullish BFVG**: - A bullish BFVG occurs when: - The current low is higher than the high of two candles ago (`low > high `). - The close of the previous candle is higher than the high of two candles ago (`close > high `). - **Entry**: Go long (buy) when a bullish BFVG is detected and the price has not yet mitigated the gap. 2. **Bearish BFVG**: - A bearish BFVG occurs when: - The current high is lower than the low of two candles ago (`high < low `). - The close of the previous candle is lower than the low of two candles ago (`close < low `). - **Entry**: Go short (sell) when a bearish BFVG is detected and the price has not yet mitigated the gap. #### **Exit Conditions** 1. **Stop Loss**: - The stop loss is placed at a fixed percentage below the entry price for long trades (`stop = close * (1 - stopLossPerc / 100)`). - For short trades, the stop loss is placed at a fixed percentage above the entry price (`stop = close * (1 + stopLossPerc / 100)`). 2. **Take Profit**: - The take profit is placed at a fixed percentage above the entry price for long trades (`limit = close * (1 + takeProfitPerc / 100)`). - For short trades, the take profit is placed at a fixed percentage below the entry price (`limit = close * (1 - takeProfitPerc / 100)`). #### **Mitigation Levels** - If the price retraces and closes within the gap (mitigates the FVG), the gap is considered invalid, and the strategy stops monitoring it. --- ### **Visualization** - **BFVG Boxes**: - Bullish BFVGs are highlighted with a green box. - Bearish BFVGs are highlighted with a red box. - **Mitigation Lines**: - Horizontal lines are drawn at the high/low of the gap to indicate the mitigation levels. --- ### **Dashboard** The strategy includes a dashboard that displays key statistics: 1. **Total BFVGs Detected**: - The number of bullish and bearish BFVGs identified. 2. **Mitigation Percentage**: - The percentage of BFVGs that have been mitigated. 3. **Average/Median Duration**: - The average or median number of candles it takes for a BFVG to be mitigated. --- ### **How It Works** 1. **Trend Identification**: - The strategy uses a moving window of `length` candles to determine the current trend (highs and lows). 2. **Gap Detection**: - It scans for FVGs that meet the criteria for BFVGs (strong trend context). 3. **Trade Execution**: - Enters trades in the direction of the BFVG and manages risk using stop loss and take profit levels. 4. **Mitigation Monitoring**: - Tracks whether the price retraces to fill the gap, invalidating the BFVG. --- ### **Advantages** 1. **Trend-Following**: - The strategy capitalizes on strong trends, which often lead to significant price movements. 2. **Clear Entry and Exit Levels**: - BFVGs provide well-defined levels for entering trades and managing risk. 3. **Flexibility**: - Parameters like `length`, `stopLossPerc`, and `takeProfitPerc` can be adjusted to suit different trading styles. --- ### **Example** - **Bullish BFVG**: - The price is in an uptrend. A bullish BFVG is detected, and a long trade is entered. - The stop loss is placed 1% below the entry price, and the take profit is placed 2% above. - **Bearish BFVG**: - The price is in a downtrend. A bearish BFVG is detected, and a short trade is entered. - The stop loss is placed 1% above the entry price, and the take profit is placed 2% below. --- ### **Conclusion** The **Breakaway Fair Value Gaps Strategy** is a systematic approach to trading strong trends by identifying and exploiting price gaps. It combines clear entry signals with robust risk management, making it suitable for traders who prefer trend-following strategies. By monitoring mitigation levels and using a dashboard for performance tracking, the strategy provides a comprehensive framework for trading BFVGs.
Strategi Pine Script™
oleh tradingbauhaus
Gold Trade Setup Strategy Title: Profitable Gold Setup Strategy with Adaptive Moving Average & Supertrend Introduction: This trading strategy for Gold (XAU/USD) combines the Adaptive Moving Average (AMA) and Supertrend, tailored for high-probability setups during specific trading hours. The AMA identifies the trend, while the Supertrend confirms entry and exit points. The strategy is optimized for swing and intraday traders looking to capitalize on Gold’s price movements with precise trade timing. Strategy Components: 1. Adaptive Moving Average (AMA): • Reacts dynamically to market conditions, filtering noise in choppy markets. • Serves as the primary trend indicator. 2. Supertrend: • Confirms entry signals with clear buy and sell levels. • Acts as a trailing stop-loss to protect profits. Trading Rules: Trading Hours: • Only take trades between 8:30 AM and 10:30 PM IST. • Avoid trading outside these hours to reduce noise and low-volume setups. Buy Setup: 1. Trend Confirmation: The Adaptive Moving Average (AMA) must be green. 2. Signal Confirmation: The Supertrend should turn green after the AMA is green. 3. Trigger: Take the trade when the high of the trigger candle (the candle that turned Supertrend green) is broken. Sell Setup (Optional if included): • Reverse the rules for a short trade: AMA and Supertrend should both indicate bearish conditions (red), and take the trade when the low of the trigger candle is broken. Stop-Loss and Targets: • Place the stop-loss at the low of the trigger candle for long trades. • Set a 1:2 risk-reward ratio or use the Supertrend line as a trailing stop-loss. Timeframes: • Recommended timeframes: 1H, 4H, or Daily for swing trading. • For intraday trading, use 15-minute or 30-minute charts. Why This Strategy Works: • Combines trend-following (AMA) with momentum-based entries (Supertrend). • Focused trading hours filter out low-probability setups. • Provides precise entry, stop-loss, and target levels for disciplined trading. Conclusion: This Gold Setup Strategy is designed for traders seeking a structured approach to trading Gold. Follow the rules strictly, backtest the strategy extensively, and share your results. Let’s master the Gold market together! Tags: #Gold #XAUUSD #SwingTrading #Intraday #Supertrend #AMA #TechnicalAnalysis #GoldStrategy
Strategi Pine Script™
oleh Arthavidhi
Momentum and Mean Reversion Strategy[Kopottaja]Momentum and Mean Reversion Strategy Description: The Momentum and Mean Reversion Strategy is a versatile trading strategy that combines two popular approaches: momentum trading and mean reversion. Designed for cryptocurrency markets on the 5-minute timeframe, this strategy identifies profitable opportunities by detecting trend-following signals using Exponential Moving Averages (EMA) and reversal signals based on Bollinger Bands (BB). Its dual-layered logic makes it suitable for a wide range of market conditions, from trending to ranging markets. Key Features: Momentum Trading with EMA Crossover: Tracks short- and long-term price trends using Exponential Moving Averages (EMAs). A buy signal is generated when the short EMA crosses above the long EMA, indicating bullish momentum. A sell signal is generated when the short EMA crosses below the long EMA, signaling bearish momentum. Customizable EMA periods to suit different assets and timeframes. Mean Reversion with Bollinger Bands: Utilizes Bollinger Bands to identify potential price reversals. A buy signal is triggered when the price crosses above the lower Bollinger Band, indicating a potential oversold condition. A sell signal is triggered when the price crosses below the upper Bollinger Band, indicating a potential overbought condition. Adjustable Bollinger Band parameters for length and standard deviation. Dual Strategy Toggle: Enables traders to toggle between momentum-based trading, mean reversion, or use both strategies simultaneously. Allows flexibility to adapt to trending or ranging market conditions. Optimized for Crypto Markets: This strategy has been designed to work effectively with cryptocurrency markets on the 5-minute timeframe. Its responsiveness to short-term price movements makes it ideal for scalping and intraday trading. How It Works: Momentum Strategy: Monitors the relationship between a short-term EMA and a long-term EMA. Buy signals occur when the short EMA crosses above the long EMA, suggesting upward momentum. Sell signals occur when the short EMA crosses below the long EMA, signaling downward momentum. Mean Reversion Strategy: Leverages Bollinger Bands to detect when price deviates significantly from its average. Buy signals occur when the price moves back above the lower Bollinger Band. Sell signals occur when the price moves back below the upper Bollinger Band. Trade Execution: Depending on the selected strategy (momentum, mean reversion, or both), the script will enter and exit trades based on the conditions met. Compatible with all major cryptocurrency pairs and scalable to other timeframes.
Strategi Pine Script™
oleh Kopottaja
RSI-MACD-Stochastic Strategy[Kopottaja]RSI-MACD-Stochastic Strategy Description: The RSI-MACD-Stochastic Strategy is a powerful multi-indicator trading tool designed to identify potential buy and sell signals based on a combination of popular technical indicators. By leveraging the strengths of Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator, this strategy provides traders with a comprehensive framework for analyzing market conditions and making informed trading decisions. Optimized to work effectively with Bitcoin (BTC) on the daily timeframe, this strategy is also versatile enough for other assets and timeframes. Key Features: RSI (Relative Strength Index): Measures the speed and magnitude of price movements to identify overbought and oversold levels. Customizable RSI period for flexibility in analysis. Generates buy signals when RSI is below 30 (oversold) and sell signals when RSI is above 70 (overbought). MACD (Moving Average Convergence Divergence): Detects changes in momentum and trend direction by analyzing the relationship between two exponential moving averages. Buy signals occur when the MACD line crosses above the signal line; sell signals occur when the MACD line crosses below. Stochastic Oscillator: Compares the closing price to the range of prices over a given period to identify potential reversals. Customizable %K and %D settings for fine-tuning. Buy signals occur when %K is below 20 (oversold); sell signals occur when %K is above 80 (overbought). Probability-Based Thresholds: Adjustable buy and sell thresholds to refine signal generation based on trader preferences. Combines the outputs of all indicators to generate high-confidence trading signals. Optimized for BTC on the daily Timeframe: This strategy has been tested and optimized for Bitcoin (BTC) on the daily timeframe, making it especially useful for long-term cryptocurrency traders. Its adaptability also allows it to perform well with other assets and timeframes when appropriately configured. How It Works: Based on the user's configuration, the strategy evaluates the market using the selected indicators (RSI, MACD, and/or Stochastic Oscillator). Buy signals are triggered when conditions align with the selected indicators, such as oversold RSI, bullish MACD crossover, or low Stochastic values. Sell signals are triggered when conditions align with overbought RSI, bearish MACD crossover, or high Stochastic values. Users can enable or disable individual indicators, allowing flexible customization based on trading style and strategy.
Strategi Pine Script™
oleh Kopottaja
EMA 20 Crossover Strategy L/SErklärung: EMA Crossover Strategie (Long und Short) Dieses Pine Script basiert auf einer EMA-Crossover-Strategie, die sowohl Long- als auch Short-Trades ausführt. Der Hauptindikator ist der Exponential Moving Average (EMA) mit einer Länge von 50, der als Signalgeber für Trendwechsel dient: Long-Positionen werden eröffnet, wenn der Kurs die EMA von unten nach oben durchkreuzt, was auf einen Aufwärtstrend hinweist. Short-Positionen werden eingegangen, wenn der Kurs die EMA von oben nach unten durchkreuzt, was auf einen Abwärtstrend hinweist. Vorteile der Strategie: Einfachheit: Die Strategie ist leicht verständlich und basiert auf einem bewährten Trendfolgeindikator. Flexibilität: Funktioniert auf verschiedenen Zeitrahmen, erzielt jedoch die besten Ergebnisse auf dem Tageschart. Risikomanagement: Kann mit definierten Parametern für Startkapital und Hebel angepasst werden. Hinweise: Die Strategie eignet sich am besten für trendstarke Märkte. Seitwärtsmärkte können zu Fehlsignalen führen, was berücksichtigt werden sollte. Historische Tests zeigen eine solide Performance auf dem Tageschart, mit einem Profitfaktor von über 2 und einem Nettogewinn von 58.113 USDT (bei einem Hebel von 2). Dieses Skript ist ideal für Trader, die Trends erkennen und konsequent handeln möchten, sowohl in Long- als auch in Short-Richtungen.
Strategi Pine Script™
oleh JenniferBrts
2
AI-Crypto-Bot_Scalping_2025_V5Abschnitt 1: Das "AI-Crypto-Bot_Scalping_Strategy"-Script nutzt ein FIFO-System und bietet einstellbare Auftragsgrößen (Kauforder/Grid) von 3 bis 15. Es ist perfekt für Einsteiger und Fortgeschrittene geeignet! Das Script verfügt über visuelle Berechnungen von Vektorkerzen und ein Zig-Zag-Muster, basierend auf dem Momentum, um Ihnen bei manuellen Handelsentscheidungen zu helfen. Algorithmus: Erstellen eines Gitters basierend auf starker Unterstützung und Widerstand. Gleichmäßige Verteilung der Gitterlinien zwischen diesen Grenzen (empfohlen: 5-10 Linien, max. 15). Bestimmung der nächsten Gitterlinien oberhalb und unterhalb des aktuellen Preises (Ignorieren der aller-nächsten Gitterlinie). Kaufen bei Unterschreitung und Verkaufen bei Überschreitung der nächsten Gitterlinie, mit anschließender Neuberechnung. Trades werden nach FIFO geöffnet und geschlossen (z.B. Kaufen 1, Kaufen 2, Kaufen 3 ... und Verkaufen 1, Verkaufen 2 ...). Beachten: Die Strategie hat keinen eingebauten Stop-Loss. Hinweis: Dies ist kein "einstellen und vergessen"-Skript. Überwachen Sie stets den Preis innerhalb der Gittergrenzen. Liegt der Preis über dem Gitter, sind Sie im Gewinn, jedoch keine weiteren Trades. Liegt der Preis darunter, sind Sie vollständig investiert. Abschnitt 2: Vektorkerzen (zur Handelsentscheidung, ohne Signalwirkung auf das "AI-Crypto-Bot_Scalping_Strategy"-Script): Der Vector Candles Indicator mit PVSRA (Preis-, Volumen-, Unterstützungs- und Widerstandsanalyse) visualisiert Höhepunkte und Kerzen mit überdurchschnittlichem Volumen. Diese Indikatoren deuten auf potenzielle Trendumkehrungen und signifikante Marktbewegungen hin und eignen sich für Aktien, Devisen und Kryptowährungen. Kerzenfarben: Climax Up (Hellgrün): Bullische Kerze mit hohem Volumen Climax Down (Rot): Bärische Kerze mit hohem Volumen Above Average Up (Blau): Bullische Kerze mit überdurchschnittlichem Volumen Above Average Down (Fuchsia): Bärische Kerze mit überdurchschnittlichem Volumen Normal Up (Grau): Bullische Kerze mit normalem Volumen Normal Down (Dunkelgrau): Bärische Kerze mit normalem Volumen Abschnitt 3: Zickzack-Indikator (zur Handelsentscheidung, ohne Signalwirkung auf das "AI-Crypto-Bot_Scalping_Strategy"-Script): Der Zickzack-Indikator hilft, vergangene Preis-Trends zu visualisieren und erleichtert den Einsatz von Zeichenwerkzeugen. Er verbindet Preisabweichungen ab einem bestimmten Prozentsatz und zeigt so lokale Spitzen und Täler an. Verwendung: Visualisierung von Referenzpunkten für Zeichenwerkzeuge wie Fibonacci-Retracements, Fächer, Quadrate usw. Unabhängig von der Preisskala, nutzt gleitende Maxima/Minima zur Bestimmung lokaler Spitzen und Täler. Fazit: Nutzen Sie das "AI-Crypto-Bot_Scalping_Strategy" Script für automatische Handelssignale und profitieren Sie von einer präzisen Scalping-Strategie. Zusätzlich bietet der Vector Candles Indikator (Abschnitt 2) wertvolle Einblicke in Volumen- und Preisbewegungen, und der Zickzack-Indikator (Abschnitt 3) hilft Ihnen, vergangene Trends zu visualisieren und Zeichenwerkzeuge effektiv einzusetzen. Kombinieren Sie diese leistungsstarken Tools, um Ihre Handelsanalysen zu verfeinern und fundierte Entscheidungen zu treffen. Disclaimer: Dies ist keine Anlageberatung. Alle Informationen dienen nur zur Unterhaltung. Investieren Sie nur, was Sie sich leisten können, zu verlieren.
Strategi Pine Script™
oleh RoDiWelt
[springwing]基于顾比均线的买入策略 一、技术点：GMMA顾比均线 策略主要依靠顾比均线进行买入确认 顾比均线是一种多重均线系统，结合了短期和长期均线的表现，通过定义两组快、慢均线来确认当前的行情的走势 二、如何判断买入点 主要就是通过快线、慢线的交叉进行判断，短期均线组整体上穿长期均线组时，意味着趋势可能开始向上，反之亦然。 三、如何进行止盈止损 通过单一的顾比均线进行卖出点确认，是比较困难的，实际整体情况一般，打个平手。 为了提高策略的收益，采取下面的方案 1. 固定止损 设置止损比例：每笔交易的最大亏损限制为止损百分比，当触达止损点后，说明订单判断错误，款四止损离场。 2. 多个范围动态止盈 为了确保利润最大化，根据吃到的利润的量，动态的设置止盈回撤的比例。 这种设计可以在行情持续向好时尽可能保留利润，同时有效规避较大回撤。 在4H k线中，主流的BTC/ETH等币种，均有良好的表现。
Strategi Pine Script™
oleh springwing
RSI Oversold/Overbought StrategyExplanation of the Script: Version Declaration and Strategy Initialization: //@version=5 specifies that the script uses Pine Script version 5. strategy("RSI Oversold/Overbought Strategy", overlay=true) initializes the strategy with the given name and overlays it on the price chart. User Inputs: rsiLength allows the user to set the RSI calculation period, defaulting to 14. oversoldLevel and overboughtLevel let users define the oversold and overbought thresholds, defaulting to 30 and 70, respectively. RSI Calculation: rsiValue = ta.rsi(close, rsiLength) computes the RSI based on the closing prices and the specified period. Trade Entry and Exit Conditions: enterLong is set to true when the RSI crosses below the oversold level, indicating a potential buying opportunity. exitLong becomes true when the RSI crosses above the overbought level, signaling an exit point. Trade Execution: When enterLong is true, strategy.entry("Long", strategy.long) opens a long position. When exitLong is true, strategy.close("Long") closes the long position. RSI Visualization: plot(rsiValue, title="RSI", color=color.blue) displays the RSI line on a separate chart. hline functions draw horizontal lines at the oversold and overbought levels for reference. Important Considerations: Backtesting: Before deploying this strategy in live trading, conduct thorough backtesting to evaluate its performance across different market conditions. Risk Management: Incorporate appropriate risk management techniques, such as stop-loss and take-profit levels, to protect against adverse market movements. Market Conditions: Be aware that the effectiveness of RSI-based strategies can vary with market volatility and trends. Adjust the oversold and overbought levels as needed to align with specific market dynamics. By customizing the input parameters and thoroughly testing the strategy, you can tailor it to fit your trading preferences and the specific characteristics of the markets you are trading.
Strategi Pine Script™
oleh harishnarayan2579
WhaleWizardBot (v1) by W2_Indicators (limited version)Description: This script replicates historical trading signals generated by a highly advanced quantitative trading system currently running live. The development of this system has taken over 2 years of rigorous research and implementation. Leveraging cutting-edge methodologies in quantitative analysis and machine learning, it processes vast amounts of market data to generate these signals. Exclusive and Powerful: The computational requirements to generate these signals are extremely demanding, utilizing high-performance computing resources. Because of this, the algorithm is currently for private use only and is not available for public distribution at this time. Future Availability: There may be a limited distribution of this system in the future under a highly exclusive subscription model. Due to the power and precision of this system, the subscription cost would be set at approximately 10,000 USD per month per user (with a very limited set of users). Contact Information: For inquiries about this algorithm, future availability, or partnerships, please feel free to reach out: undermetrics at gmail.com or on x/twitter: x.com
Strategi Pine Script™
oleh W2_Indicators
1
AIMS AlgoAIMS ALGO ⭐⭐⭐⭐⭐ The AIMS ALGO is a culmination of 20 years of practical trading and scientific testing on live and real trading accounts. Strategy Testing - Signal Generation - MT4/MT5 Bridge - Trade Automation The current version of AIMS Algo can be used for 3 purposes. 1. Use as an Indicator: Create and Use profitable Buy and Sell Signals on screen. 2. [b [Use as a Strategy Tester: Use it as a strategy tester. AIMS Algo allows you to back-test your strategy completely allowing you to have a high confidence before you take a trade. 3. Use as a TradingView to MT4/Mt4 Bridge: The AIMS Algo has built in settings and code for connecting TradingView to MT4/Mt5 platforms using industry favourit PineConnector. Key Features -⭐ Dual session trading (e.g., London and US sessions) -⭐Advanced risk management with adjustable risk percentage and max daily loss -⭐ Position scaling with multiple take-profit levels -⭐ Customizable entry and exit conditions -⭐ Visual enhancements for better trade analysis -⭐ Comprehensive info box with real-time strategy performance -⭐ Built-in Settings to Connect TradingView to MT4/Mt5 via PineConnector -⭐ Use it as Strategy Tester or Trading Indicator -⭐ Multiple Built in Indicators allows for comprehensive testing. Strategy Results for DAX40 and NASDAQ100 Scalping Strategy Optimized for short-term trades, this strategy includes robust risk management features, making it suitable for traders who focus on quick, high-frequency market interactions. Indicators Used AIMS Algo 👹 employs a sophisticated combination of traditional technical indicators and advanced statistical models to generate high-probability trading signals: RSI The Relative Strength Indicator: Relative Strength Index (RSI) is employed to filter trades based on market conditions. Overbought/oversold levels are configured (default: 70 for overbought, 30 for oversold), helping to avoid trades in overextended market conditions. If the RSI is overbought, no buy trades are taken, and if it's oversold, no sell trades are taken. Exponential Moving Average (EMA): Utilized for trend detection and dynamic support/resistance levels Implemented with Fibonacci numbers that we found to work based on the concepts of Trading Chaos and custom settings for multi-timeframe analysis Supertrend Indicator: Adapted for overall trend direction identification Integrated as a trend filter, ensuring that trades align with the broader market direction. The strategy will only take buy trades during an uptrend and sell trades during a downtrend as indicated by the SuperTrend. Parabolic SAR: The strategy includes Parabolic SAR as an additional trend indicator. Future Integration: Parabolic SAR is planned to be used for trailing stop losses to lock in profits during trending markets. Trading Chaos Theory based AIMS Indicators: AIMS Box, AIMS Gator, and Purple Magic are essential components of our trading methodology, and we are thrilled to offer these indicators directly to the TradingView community. Awesome Oscillator (AO) - (Bill Williams Trading Chaos Concept) AO is used to determine the market momentum and whether it aligns with the trade signal. Bullish condition: When AO is above zero and green, indicating upward momentum. Bearish condition: When AO is below zero and red, indicating downward momentum. AIMS Box: Fractals within a Box The AIMS Box Indicator serves as a key tool for identifying breakout opportunities. It helps traders define areas of consolidation (known as a "box") by marking the highest highs and lowest lows of recent price action. When the price breaks out of the box, it signals potential entry points for trades. The AIMS Box is particularly useful for traders who want to capitalize on momentum shifts and identify when price is poised for significant movement. You can read more about how to use the AIMS Box in detail on our website 👉🏼 here or check out the published indicator directly on TradingView 👉🏼 here . AIMS Gator: The AIMS Gator is another powerful tool that complements the AIMS Box. It follows Bill Williams' Alligator strategy, which uses three moving averages to help identify trending markets and potential reversals. The Gator shows when the market is "sleeping" or "eating," indicating periods of consolidation or trending movement, respectively. This is invaluable for understanding market conditions and ensuring trades are placed in the most opportune environments. You can read more about The Alligator Strategy here Purple Magic: The Purple Magic is an exciting indicator designed to help traders identify trends and trade setups with clarity. Purple Magic simplifies the process of finding entries and exits by applying a unique set of rules based on proprietary trading logic. It helps traders spot the best opportunities in trending markets and manage trades efficiently by signaling high-probability entries. You can explore more about Purple Magic on TradingView 👉🏼here. These indicators are proudly published by us and shared with the broader TradingView community to enhance your trading experience. Great News! We've now seamlessly integrated these tools into AIMS Algo - The AIMS Algo, providing traders with a comprehensive trading system built on reliable and proven methods. Custom Price Action Pattern Recognition: The MonsterScalper 3 AIMS Algo uses proprietary algorithms developed through rigorous statistical analysis and machine learning techniques. Here is a brief history of how we found and validated our trading edge. Statistical Analysis We found a niche price pattern that lets the trader get into the market at the best possible time with the most accurate exit points. The Process of Finding The Edge: Here is what we did: a. Identified using Professional and Corporate level Quant and Statistical Analysis Software. b. Validated and refined through Python-based data analysis algorithms and Advanced Machine Learning techniques incorporating latest Artificial Intelligence tools. c. Confirmed using historical data from Dukascopy, TradingView Data, MetaTrader Data and other sources - ensuring robustness across multiple data sources Advanced Signal Generation Logic: Integrates outputs from EMAs, Supertrend, RSI, Chaos Trading, Elliott Wave Theory, and custom price action patterns Employs a weighted scoring system to rank potential trade setups Incorporates market volatility and liquidity factors for adaptive signal thresholds Machine Learning based Enhanced Filters: ( The following tasks were completed performing data Analysis utilising tools that are far more powerful and outside of TradingView's Pinescript Utilizes a Random Forest classifier to further validate trade signals Trained on historical data with features including: Price action patterns Technical indicator values Market sentiment indicators Macroeconomic data points Continuously updated through online learning to adapt to evolving market conditions How and When to Enter The Market: Let's now learn about how the Algo identifies Entry Conditions. Entry Conditions Long Entry: A pattern of price behavior where the most recent high and low must adhere to specific relationships with previous candles, indicating potential upward momentum. An external indicator confirms the trend direction. Trades are only valid within certain predefined time windows. A safeguard ensures that no more than a defined number of trades are taken per day (if this feature is activated). Risk management techniques are applied to get the best results. Further Advanced Position Sizing methods applied to minimise drawdown percentages and duration. Short Entry: A similar but reverse pattern where the lows and highs follow a specific arrangement, signaling possible downward movement. As with long entries, an optional trend filter and time restrictions apply. A cap on daily trades ensures risk control. A safeguard ensures that no more than a defined number of trades are taken per day (if this feature is activated). Risk management techniques are applied to get the best results. Further Advanced Position Sizing methods applied to minimise drawdown percentages and duration. Exit Conditions Long Exit: A protective level is set below the entry point based on recent price action. Profit-taking occurs at one or more predefined levels, depending on whether scaling out of trades is enabled. The first profit level is a function of the entry range, while the second is calculated using a customizable multiple of the risk distance. A further option will be available in future updates to set fixed take profit and stop loss levels using pips, points, percentage price movement or $ dollar amounts. Short Exit: The stop level is placed above the entry point, and profit levels mirror the logic of long exits, with slight adjustments for short trades. As with longs, a single profit level is used if scaling out is not active. Risk Management The risk per trade is tied to recent market volatility, dynamically adjusting stop levels based on price movements. Profit targets are flexible and tied to the distance of the stop. Position sizes are calculated to maintain a consistent risk percentage of the overall account. Trading halts for the day if a certain loss threshold is breached. Separate trade limits apply to long and short positions, ensuring controlled exposure in both directions. Advanced Risk Management: AIMS Get Funded Risk Strategy: This strategy is specifically designed for traders who would like to win prop firm challenges. To get funded fast we have incorporated martingale, pyramiding and reverse pyramiding risk and position sizing techniques. This strategy introduces advanced risk management techniques, including: Martingale Risk Method: When a trade loses, the position size increases for the next trade, aiming to recover losses more quickly. Pyramiding and Reverse Pyramiding: These techniques allow scaling into and out of positions. The strategy dynamically adjusts risk levels based on trade outcomes, increasing risk after wins and reducing it after losses. Drawdown Management: If the strategy experiences a drawdown e.g. 5%, the risk is automatically reduced to a lower level e.g. 0.25% until the drawdown is recovered. Once the drawdown period ends, the risk reverts to its default value. Reverse Pyramiding: This technique allows trader to choose whether they want to bring the position size back default or decrement after a loss until default risk per trade is achieved. This method is very useful when attempting to "smoothen the equity curve" Compounding Feature: The strategy supports a compounding system, where position size is based on both initial equity and accumulated profits. This allows for exponential growth when the strategy is profitable. Slippage and Commission The slippage option is a crucial feature for any trading system, as it helps traders account for the difference between the expected price of a trade and the actual price at which it is executed. Slippage occurs due to rapid market movements, low liquidity, or execution delays, and it can either work in your favor or against you. By incorporating the slippage option in our trading strategies, traders can input a specific amount of slippage they are willing to accept on their trades. This feature ensures that your strategy factors in real-world trading conditions, providing a more realistic performance assessment. For instance, in fast-moving markets or volatile assets, prices can change quickly, meaning the price you see when you place an order may not be the exact price you get. With the slippage setting, you can simulate this effect within your strategy testing on TradingView, helping to avoid overly optimistic backtest results. The slippage option adds another layer of precision to risk management, ensuring that your trades reflect what happens in real-world scenarios more accurately. Overall, having a slippage option in your trading system allows you to: Adjust for market conditions: Account for price discrepancies caused by market volatility or execution delays. Improve strategy accuracy: Create a more realistic backtest environment that simulates real trading results. Manage risk better: Understand how slippage can affect your profits and adjust your strategy accordingly. This feature is essential for any serious trader who wants to optimize their strategy for live market conditions, ensuring that you’re better prepared when real trades are placed. Timeframes The strategy is designed to work on various timeframes, but it's optimized for shorter timeframes suitable for scalping (e.g., 1 minute, 5 minutes). Markets This strategy is versatile and can be applied to various markets, including forex pairs, cryptocurrencies, and other liquid instruments available on TradingView. Info Box: A detailed Info Box is displayed on the chart, providing useful insights during both live trading and backtesting. It includes: Trading session status (active or inactive). Total trades taken today, including winners and losers. Profit/Loss details, including today's performance and cumulative results. Risk percentage per trade based on the dynamic risk management system. Scaling and slippage settings status. RSI and SuperTrend filter status. The maximum number of trades allowed per day and the current drawdown percentage. Backtesting Results Extensive backtesting has been performed on various timeframes and markets. Here are some notable results: 30-Day Backtest (September 16, 2024 - October 11, 2024) - Account Size: $10,000 - Risk per Trade: 1% - Max Daily Loss: 4.5% - Pyramiding: No - Commission: No - Slippage: Random 1-5 ticks Results: - Net Profit: 62.26% - Total Closed Trades: 198 - Percentage Profitable: 80.81% - Profit Factor: 2.018 - Max Drawdown: 6% - Average Trade: $31.44 - Average Bars in Trade: 2 Long-Term Backtest (2017-2024) - Total Trades: 45,971 - Net Profit: 2,114.42% - Percent Profitable: 77.87% - Profit Factor: 1.151 - Max Drawdown: 8.87% - Average Trade: $4.60 These results demonstrate the strategy's potential for consistent profitability across different market conditions and timeframes. However, past performance does not guarantee future results, and it's essential to thoroughly test the strategy with your preferred settings before live trading. Customization Options - Risk percentage per trade - Maximum daily loss percentage - Use of compounding and position size normalization - Enable/disable position scaling - Adjustable take-profit levels and percentages - Custom trading session times - Visual enhancements (trend shading, candle colors, etc.) - Informational display customization Custom Settings for Optimum Results The ScalpMonster strategy offers different sets of parameters optimized for various markets. Default settings are tailored for the German Index DAX40 (GER40), previously known as DAX30 (GER30) or DE30 DAX, on the one-minute timeframe. DAX M1 Settings - Session: 8:30 - 10:00 - Max Trades: 10 each (long and short) - Risk-Reward Ratio: 1:0.5 - Look for Better Price: Yes - 6-month Results (April 2024 to 10-10-2024): - Win Rate: 75% - Profit Factor: 1.39 - Profit: 238% (Compounded) - Buy/Sell Stop Loss: 1 pip - Sell/Buy Stop Loss: 0.1 pip DAX M5 Settings - Session: 9:30 - 11:00 - Max Trades: 2 each (long and short) - Risk-Reward Ratio: 1:0.3 (no scaling out) - Look for Better Price: No - 6-month Results: - Win Rate: 83% - Profit Factor: 1.42 - Profit: 13% NASDAQ (NAS) M1 Settings - Session: 14:45 - 16:30 - Max Trades: 10 each (long and short) - Risk-Reward Ratio: 1:0.5 - Look for Better Price: Yes - 6-month Results: - Win Rate: 74% - Profit Factor: 1.33 - Profit: 112% NASDAQ (NAS) H1 Settings replaces the Ultimate NASDAQ100 Strategy - Session: 11:00- 18:00 - Max Trades: 5each (long and short) - Risk-Reward Ratio: 1:0.5 - Look for Better Price: Yes - 3 Year Results: Jan 2012 - 14 Oct 2024 - Win Rate: 74% - Profit Factor: 1.407 - Profit: 136% Strategy Strengths: Backtesting & Live Trading: This strategy is designed to be a powerful tool for both backtesting and live trading, providing accurate signals that can help traders discover and refine new trading edges. Risk Control: With multiple risk management techniques, including martingale, drawdown protection, and compounding, the strategy helps traders manage risk effectively while potentially increasing returns. Customizable Settings: All key components, such as filters, risk settings, and trade management features, are customizable to fit different trading styles and market conditions. Known Limitations - The strategy relies on historical data for signal generation, which may not always predict future market behavior. - Performance may vary in different market conditions and on different instruments. - The strategy does not account for slippage or other real-world trading factors. Extras: You may copy this layout template so that the colour schemes and everything looks the same www.tradingview.com ### The Scientific Method in Finding a Trading Edge When it comes to finding a trading edge, the process is best approached using the scientific method. This method, widely recognized in the scientific community for its rigor and systematic approach, can also be applied to trading. The goal is simple: to develop and test a hypothesis about a specific price pattern and determine whether it can consistently produce profitable results in the market. This disciplined approach enables traders to move beyond guesswork and rely on a structured framework to improve their trading strategies. #### Step 1: Formulating a Hypothesis The first step of the scientific method is to formulate a hypothesis. In trading terms, this means identifying a potential price pattern or market condition that you believe offers a statistical edge. This could be something as specific as a price moving above a particular moving average, a breakout from a certain range, or a candlestick pattern like a hammer. Your hypothesis might look something like this: “I assume that when X price pattern occurs, the price tends to move in Y direction, providing a potential trading edge.” AiMS Algo Hypothesis: During the process of creating AIMS Algo we based our initial hypothesis on AIMS The Hunt and AIMS The Banana Pattern together with the concepts of Trading Chaos. #### Step 2: Collecting Data Once you’ve formed your hypothesis, the next step is to gather data. For a trader, this means collecting historical price data that includes instances of the pattern you’ve identified. This step requires discipline, as relying on too little data could lead to unreliable conclusions. You want to analyze how often the pattern has appeared in the past and track the outcomes of those appearances. This stage also involves defining the conditions under which you’ll test the hypothesis, such as the timeframe (intraday, daily, weekly), market (stocks, forex, crypto), and other variables. Thankfully we have Tradingview where we can get all kinds of data from all kinds of markets. Great! #### Step 3: Testing the Hypothesis Testing is where the hypothesis meets real scrutiny. This involves backtesting your trading strategy against historical data to see how often your price pattern leads to profitable outcomes. This is the equivalent of an experiment in scientific research. You want to ask questions like, “Does the pattern hold under different market conditions?” and “Is the edge statistically significant?” The goal is to determine whether your hypothesis is consistently profitable across various market conditions, or whether it only works under specific circumstances. The key here is to remain unbiased, letting the data tell the story instead of confirming your personal beliefs. #### Step 4: Evaluating and Refining If the test shows a positive outcome—that your price pattern has an edge—you move to the next step: refining the strategy. Even if your pattern shows profitability, there may be room for improvement. This is where filters come into play. Filters can help eliminate false signals or identify the most favorable conditions for the edge to perform. For instance, adding an RSI filter to avoid trades when the market is overbought or oversold can improve the overall performance. This phase involves tweaking the variables, such as adjusting timeframes or adding other technical indicators, to optimize the strategy. #### Step 5: Continuous Testing and Validation After refining, it’s essential to continue testing. Markets are constantly evolving, and a strategy that works today may not work tomorrow. Continuous testing is a way to ensure that your edge remains valid over time. This involves both backtesting and forward testing, where the strategy is applied in real-time market conditions to observe its effectiveness. This is the reason why we built this and we share with the community so that we create a hive synergy. 10 brains are definitely better than 1. #### Conclusion The process of finding an edge in trading should be approached with the same rigor as any scientific inquiry. By applying the scientific method—forming a hypothesis, testing it, refining it, and continuously evaluating it—you can move from relying on gut feelings to creating a robust, data-driven strategy. A trading edge is not something you stumble upon but something you discover through a disciplined process. Version History - V.250b2 (Current): Two-session support, enhanced risk management, and visual improvements - Previous versions: - Version 62 Beta 5 - 14 / 10 /2024 : minor updates - for more revisions and updates scroll further down to get chronological account. Previous Version History Check Note: This script was first shared here If you'd like to see the complete history of its evolution, version history and how all the changes were made, please click on this private script link. ## Disclaimer ## This strategy is for educational and research purposes only. Past performance does not guarantee future results. Always back-test thoroughly and consider your risk tolerance before using any trading strategy with real funds. The creator of this strategy is not responsible for any financial losses incurred from its use.
Strategi Pine Script™
oleh itradeaims-tv
3
Combined Strategy (VSA + RSI and Moving Average)//@version=6 strategy("Combined Strategy (VSA + RSI and Moving Average)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // إعدادات مؤشر القوة النسبية (RSI) rsiPeriod = input.int(14, title="RSI Period") rsiOverbought = input.int(70, title="RSI Overbought Level") rsiOversold = input.int(30, title="RSI Oversold Level") rsi = ta.rsi(close, rsiPeriod) // إعدادات المتوسط المتحرك maPeriod = input.int(50, title="MA Period") ma = ta.sma(close, maPeriod) // إعدادات الربح المستهدف (Take Profit) وإيقاف الخسارة (Stop Loss) takeProfitPct = input.float(2.0, title="Take Profit (%)") / 100 stopLossPct = input.float(1.0, title="Stop Loss (%)") / 100 // شروط استراتيجية VSA sot_down = (math.abs(close - close ) < ((ta.sma(high - close, 5)) * 0.1)) and (volume > ta.sma(volume, 10)) and (ta.mom(close, 3) > 0 or ta.mom(close, 4) > 0 or ta.mom(close, 5) > 0 or ta.mom(close, 6) > 0) ? 1 : 0 sot_up = (math.abs(close - close ) < ((ta.sma(high - close, 5)) * 0.1)) and (volume > ta.sma(volume, 10)) and (ta.mom(close, 3) < 0 or ta.mom(close, 4) < 0 or ta.mom(close, 5) < 0 or ta.mom(close, 6) < 0) ? 1 : 0 // حساب مستوى الربح المستهدف وإيقاف الخسارة longTakeProfit = close * (1 + takeProfitPct) longStopLoss = close * (1 - stopLossPct) shortTakeProfit = close * (1 - takeProfitPct) shortStopLoss = close * (1 + stopLossPct) // شروط الدخول والخروج longCondition = (ta.crossover(rsi, rsiOversold) and close > ma and sot_up == 1) shortCondition = (ta.crossunder(rsi, rsiOverbought) and close < ma and sot_down == 1) // تنفيذ الصفقات مع تحديد Take Profit و Stop Loss if longCondition strategy.entry("Long", strategy.long, stop=longStopLoss, limit=longTakeProfit) if shortCondition strategy.entry("Short", strategy.short, stop=shortStopLoss, limit=shortTakeProfit) // رسم الإشارات على الرسم البياني plot(rsi, color=color.blue, title="RSI") hline(rsiOverbought, "Overbought", color=color.red) hline(rsiOversold, "Oversold", color=color.green) plot(ma, color=color.orange, title="Moving Average") // رسم إشارات SOT (مؤشر VSA) plotshape(sot_down, style=shape.triangledown, color=color.red, size=size.auto) plotshape(sot_up, style=shape.triangleup, color=color.green, size=size.auto, location=location.belowbar) plotchar(sot_down, text="SOT", char="", color=color.red) plotchar(sot_up, text="SA", char="", color=color.green, location=location.belowbar)
Strategi Pine Script™
oleh MohamedMostafa1010