Auf geht's

Indikatoren und Strategien

External Signals Strategy TesterExternal Signals Strategy Tester This strategy is designed to help you backtest external buy/sell signals coming from another indicator on your chart. It is a flexible and powerful tool that allows you to simulate real trading based on signals generated by any indicator, using input.source connections. 🔧 How It Works Instead of generating signals internally, this strategy listens to two external input sources: One for buy signals One for sell signals These sources can be connected to the plots from another indicator (for example, custom indicators, signal lines, or logic-based plots). To use this: Add your indicator to the chart (it must be visible on the same pane as this strategy). Open the settings of the strategy. In the fields Buy Signal and Sell Signal, select the appropriate plot (line, value, etc.) from the indicator that represents the buy/sell logic. The strategy will open positions when the selected buy signal crosses above 0, and sell signal crosses above 0. This logic can be easily adapted by modifying the crossover rule inside the script if your signal style is different. ⚙️ Features Included ✅ Configurable trade direction: You can choose whether to allow long trades, short trades, or both. ✅ Optional close on opposite signal: When enabled, the strategy will exit the current position if an opposite signal appears. ✅ Optional full position reversal: When enabled, the strategy will close the current position and immediately open an opposite one on the reverse signal. ✅ Risk Management Tools: You can define: Take Profit (TP): Position will be closed once the specified profit (in %) is reached. Stop Loss (SL): Position will be closed if the price drops to the specified loss level (in %). BreakEven (BE): Once the specified profit threshold is reached, the strategy will move the stop-loss to the entry price. 📌 If any of these values (TP, SL, BE) are set to 0, the feature is disabled and will not be applied. 🧪 Best Use Cases Backtesting signals from custom indicators, without rewriting the logic into a strategy. Comparing the performance of different signal sources. Testing external indicators with optional position management logic. Validating strategies using external filters, oscillators, or trend signals. 📌 Final Notes You can visualize where the strategy detected buy/sell signals using green/red markers on the chart. All parameters are customizable through the strategy settings panel. This strategy does not repaint, and it processes signals in real-time only (no lookahead bias).
Pine Script® Strategie
von RezzoRedPriest
2
Long Term Profitable Swing | AbbasA Story of a Profitable Swing Trading Strategy Imagine you're sailing across the ocean, looking for the perfect wave to ride. Swing trading is quite similar—you're navigating the stock market, searching for the ideal moments to enter and exit trades. This strategy, created by Abbas, helps you find those waves and ride them effectively to profitable outcomes. 🌊 Finding the Perfect Wave (Entry) Our journey begins with two simple signs that tell us a great trading opportunity is forming: - Moving Averages: We use two lines that follow price trends—the faster one (EMA 16) reacts quickly to recent price moves, and the slower one (EMA 30) gives us a longer-term perspective. When the faster line crosses above the slower line, it's like a clear signal saying, "Hey! The wave is rising, and prices might move higher!" - RSI Momentum: Next, we check a tool called the RSI, which measures momentum (how strongly prices are moving). If the RSI number is above 50, it means there's enough strength behind this rising wave to carry us forward. When both signals appear together, that's our green light. It's time to jump on our surfboard and start riding this promising wave. ⚓ Safely Riding the Wave (Risk Management) While we're riding this wave, we want to ensure we're safe from sudden surprises. To do this, we use something called the Average True Range (ATR), which measures how volatile (or bumpy) the price movements are: - Stop-Loss: To avoid falling too hard, we set a safety line (stop-loss) 8 times the ATR below our entry price. This helps ensure we exit if the wave suddenly turns against us, protecting us from heavy losses. - Take Profit: We also set a goal to exit the trade at 11 times the ATR above our entry. This way, we capture significant profits when the wave reaches a nice high point. 🌟 Multiple Rides, Bigger Adventures This strategy allows us to take multiple positions simultaneously—like riding several waves at once, up to 5. Each trade we make uses only 10% of our trading capital, keeping risks manageable and giving us multiple opportunities to win big. 🗺️ Easy to Follow Settings Here are the basic settings we use: - Fast EMA**: 16 - Slow EMA**: 30 - RSI Length**: 9 - RSI Threshold**: 50 - ATR Length**: 21 - ATR Stop-Loss Multiplier**: 8 - ATR Take-Profit Multiplier**: 11 These settings are flexible—you can adjust them to better suit different markets or your personal trading style. 🎉 Riding the Waves of Success This simple yet powerful swing trading approach helps you confidently enter trades, clearly know when to exit, and effectively manage your risk. It’s a reliable way to ride market waves, capture profits, and minimize losses. Happy trading, and may you find many profitable waves to ride! 🌊✨ Please test, and take into account that it depends on taking multiple longs within the swing, and you only get to invest 25/30% of your equity.
Pine Script® Strategie
von Mohamed_Abbas
EMA 10/55/200 - LONG ONLY MTF (4h with 1D & 1W confirmation)Title: EMA 10/55/200 - Long Only Multi-Timeframe Strategy (4h with 1D & 1W confirmation) Description: This strategy is designed for trend-following long entries using a combination of exponential moving averages (EMAs) on the 4-hour chart, confirmed by higher timeframe trends from the daily (1D) and weekly (1W) charts. 🔍 How It Works 🔹 Entry Conditions (4h chart): EMA 10 crosses above EMA 55 and price is above EMA 55 OR EMA 55 crosses above EMA 200 OR EMA 10 crosses above EMA 500 These entries indicate short-term momentum aligning with medium/long-term trend strength. 🔹 Confirmation (multi-timeframe alignment): Daily (1D): EMA 55 is above EMA 200 Weekly (1W): EMA 55 is above EMA 200 This ensures that we only enter long trades when the higher timeframes support an uptrend, reducing false signals during sideways or bearish markets. 🛑 Exit Conditions Bearish crossover of EMA 10 below EMA 200 or EMA 500 Stop Loss: 5% below entry price ⚙️ Backtest Settings Capital allocation per trade: 10% of equity Commission: 0.1% Slippage: 2 ticks These are realistic conditions for crypto, forex, and stocks. 📈 Best Used On Timeframe: 4h Instruments: Trending markets like BTC/ETH, FX majors, or growth stocks Works best in volatile or trending environments ⚠️ Disclaimer This is a backtest tool and educational resource. Always validate on demo accounts before applying to real capital. Do your own due diligence.
Pine Script® Strategie
von ivan31416neda
Bharat Jhunjhunwala's Expert Intraday TradingThis script is an intraday trading strategy framework that uses a combination of technical indicators—such as moving averages, volatility measures, and volume-weighted data—to generate and manage trade entries and exits. It includes both long and short trade setups with logic for partial exits and dynamic stop management, all while operating within defined trading sessions. This description outlines its functionality without revealing the full proprietary logic. This script employs several technical analysis tools to fine-tune trade decisions: EMA (Exponential Moving Average): Helps determine trend direction by smoothing out price data. Bollinger Bands: Gauge market volatility and potential breakout points by creating dynamic support and resistance levels. ATR (Average True Range): Measures market volatility to set adaptive stop levels and manage risk. VWAP (Volume Weighted Average Price): Provides a benchmark for price action by factoring in volume. Additionally, the script uses session-based filters to restrict trading to specified market hours and incorporates partial exits to optimize profit-taking.
Pine Script® Strategie
von BharatJhunjhunwala
Supply & Demand Zones + Order Block (Pro Fusion) - Auto Order Strategy Title: Smart Supply & Demand Zones + Order Block Auto Strategy with ScalpPro (Buy-Focused) 📄 Strategy Description: This strategy combines the power of Supply & Demand Zone analysis, Order Block detection, and an enhanced Scalp Pro momentum filter, specifically designed for automated decision-making based on high-volume breakouts. ✅ Key Features: Auto Entry (Buy Only) Based on Breakouts Automatically enters a Buy position when the price breaks out of a valid demand zone, confirmed by EMA 50 trend and volume spike. Order Block Logic Identifies bullish and bearish order blocks using consecutive candle structures and significant price movement. Dynamic Stop Loss & Trailing Stop Implements a trailing stop once price moves in profit, along with static initial stop loss for risk management. Clear Visual Labels & Alerts Displays BUY/SELL, Demand/Supply, and Order Block labels directly on the chart. Alerts trigger on valid breakout signals. Scalp Pro Momentum Filter (Optimized) Uses a modified MACD-style momentum indicator to confirm trend strength and filter out weak signals.
Pine Script® Strategie
von denidiana
3
Supra BINANCE:BTCUSDT.P Strategy Description: This advanced trading strategy combines linear regression, volatility bands, and a Kalman filter to generate precise buy and sell signals, while incorporating robust risk management through fixed stop-loss and dynamic trailing stop mechanisms. Core Features: Trend Detection: A linear regression line is calculated to assess the market’s trend direction over a customizable period (default: 14 bars). Mean Reversion: Volatility bands are constructed around an Exponential Moving Average (EMA) using a standard deviation multiplier (default: 2.3) to pinpoint overbought and oversold conditions. Noise Reduction: A Kalman filter smooths price data with an adjustable gain (default: 21), improving signal reliability. Risk Management: Features a fixed stop-loss (default: 2%) to cap losses and a trailing stop (default activation: 1%, trailing: 1%) to lock in profits as the price moves favorably. Signal Logic: Buy Signal: Triggered when the linear regression line crosses above the lower volatility band, indicating a potential upward reversal from an oversold state. Sell Signal: Activated when the linear regression line crosses below the upper volatility band, with the closing price below the Kalman filter as confirmation, suggesting a downward reversal from an overbought state. Position Management: Closes any opposing position (e.g., a short position on a buy signal) to maintain a single directional stance. Activates a trailing stop once the price moves favorably by a set percentage, dynamically adjusting to secure gains while allowing room for market fluctuations. Visual Aids: EMA Line: Blue line showing the exponential moving average (default period: 50). Upper Band: Red line marking the upper volatility threshold. Lower Band: Green line marking the lower volatility threshold. Kalman Filter: Orange line displaying smoothed price data. Linear Regression: White line illustrating the trend direction. Signal Markers: Green upward triangles for buy signals, red downward triangles for sell signals. Customization: Tailor the strategy to your preferences by adjusting parameters like regression length, EMA period, band multiplier, Kalman gain, stop-loss percentage, and trailing stop settings to suit various markets and timeframes. Disclaimer: This strategy is designed for educational purposes. Thoroughly backtest and validate its performance in your chosen market before applying it to live trading. Use alongside other analysis for best results. This description is concise yet detailed, making it easy for TradingView users to understand the strategy’s mechanics, purpose, and customization options while emphasizing the importance of testing. Let me know if you'd like any adjustments!
Pine Script® Strategie
von YuKiRa_aa
QuantJazz Turbine Trader BETA v1.17QuantJazz Turbine Trader BETA v1.17 - Strategy Introduction and User Guide Strategy Introduction Welcome to the QuantJazz Turbine Trader BETA v1.17, a comprehensive trading strategy designed for TradingView. This strategy is built upon oscillator principles, drawing inspiration from the Turbo Oscillator by RedRox, and incorporates multiple technical analysis concepts including RSI, MFI, Stochastic oscillators, divergence detection, and an optional FRAMA (Fractal Adaptive Moving Average) filter. The Turbine Trader aims to provide traders with a flexible toolkit for identifying potential entry and exit points in the market. It presents information through a main signal line oscillator, a histogram, and various visual cues like dots, triangles, and divergence lines directly on the indicator panel. The strategy component allows users to define specific conditions based on these visual signals to trigger automated long or short trades within the TradingView environment. This guide provides an overview of the strategy's components, settings, and usage. Please remember that this is a BETA version (v1.17). While developed with care, it may contain bugs or behave unexpectedly. LEGAL DISCLAIMER: QuantJazz makes no claims about the fitness or profitability of this tool. Trading involves significant risk, and you may lose all of your invested capital. All trading decisions made using this strategy are solely at the user's discretion and responsibility. Past performance is not indicative of future results. Always conduct thorough backtesting and risk assessment before deploying any trading strategy with real capital. This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. Core Concepts and Visual Elements The Turbine Trader indicator displays several components in its own panel below the main price chart: 1. Signal Line (Avg & Avg2): This is the primary oscillator. It's a composite indicator derived from RSI, MFI (Money Flow Index), and Stochastic calculations, smoothed using an EMA (Exponential Moving Average). Avg: The faster smoothed signal line. Avg2: The slower smoothed signal line. Color Coding: The space between Avg and Avg2 is filled. The color (Neon Blue/gColor or Neon Purple/rColor) indicates the trend based on the relationship between Avg and Avg2. Blue suggests bullish momentum (Avg > Avg2), while Purple suggests bearish momentum (Avg2 > Avg). Zero Line Crosses: Crossovers of the Avg line with the zero level can indicate shifts in momentum. 2. Histogram (resMfi): This histogram is based on smoothed and transformed MFI calculations (Fast MFI and Slow MFI). Color Coding: Bars are colored Neon Blue (histColorUp) when above zero, suggesting bullish pressure, and Neon Purple (histColorDn) when below zero, suggesting bearish pressure. Transparency is applied. Zero Line Crosses: Crossovers of the histogram with the zero level can signal potential shifts in money flow. 3. Reversal Points (Dots): Dots appear on the Signal Line (specifically on Avg2) when the color changes (i.e., Avg crosses Avg2). Small Dots: Appear when a reversal occurs while the oscillator is in an "extreme" zone (below -60 for bullish reversals, above +60 for bearish reversals). Large Dots: Appear when a reversal occurs outside of these extreme zones. Colors: Blue (gRdColor) for bullish reversals (Avg crossing above Avg2), Purple (rRdColor) for bearish reversals (Avg crossing below Avg2). 4. Take Profit (TP) Signals (Triangles): Small triangles appear above (+120) or below (-120) the zero line. Bearish Triangle (Down, Purple rTpColor): Suggests a potential exit point for long positions or an entry point for short positions, based on the oscillator losing upward momentum above the 50 level. Bullish Triangle (Up, Blue gTpColor): Suggests a potential exit point for short positions or an entry point for long positions, based on the oscillator losing downward momentum below the -50 level. 5. Divergence Lines: The strategy automatically detects and draws potential regular and hidden divergences between the price action (highs/lows) and the Signal Line (Avg). Regular Bullish Divergence (White bullDivColor line, ⊚︎ label): Price makes a lower low, but the oscillator makes a higher low. Suggests potential bottoming. Regular Bearish Divergence (White bearDivColor line, ⊚︎ label): Price makes a higher high, but the oscillator makes a lower high. Suggests potential topping. Hidden Bullish Divergence (bullHidDivColor line, ⊚︎ label): Price makes a higher low, but the oscillator makes a lower low. Suggests potential continuation of an uptrend. Hidden Bearish Divergence (bearHidDivColor line, ⊚︎ label): Price makes a lower high, but the oscillator makes a higher high. Suggests potential continuation of a downtrend. Delete Broken Divergence Lines: If enabled, newer divergence lines originating from a similar point will replace older ones. 6. Status Line: A visual bar at the top (95 to 105) and bottom (-95 to -105) of the indicator panel. Its color intensity reflects the confluence of signals: Score Calculation: +1 if Avg > Avg2, +1 if Avg > 0, +1 if Histogram > 0. Top Bar (Bullish): Bright Blue (gStatColor) if score is 3, Faded Blue if score is 2, Black otherwise. Bottom Bar (Bearish): Bright Purple (rStatColor) if score is 0, Faded Purple if score is 1, Black otherwise. Strategy Settings Explained The strategy's behavior is controlled via the settings panel (gear icon). 1. Date Range: Start Date, End Date: Define the period for backtesting. Trades will only occur within this range. 2. Optional Webhook Configuration: (For Automation) 3C Email Token, 3C Bot ID: Enter your 3Commas API credentials if you plan to automate trading using webhooks. The strategy generates JSON alert messages compatible with 3Commas. You can go ahead and just leave the text field as defaulted, "TOKEN HERE" / "BOT ID HERE" if not using any bot automations at this time. You can always come back later and automate it. More info can be made available from QuantJazz should you need automation assistance with custom indicators and trading strategies. 3. 🚀 Signal Line: Turn On/Off: Show or hide the main signal lines (Avg, Avg2). gColor, rColor: Set the colors for bullish and bearish signal line states. Length (RSI): The lookback period for the internal RSI calculation. Default is 2. Smooth (EMA): The smoothing period for the EMAs applied to the composite signal. Default is 9. RSI Source: The price source used for RSI calculation (default: close). 4. 📊 Histogram: Turn On/Off: Show or hide the histogram. histColorUp, histColorDn: Set the colors for positive and negative histogram bars. Length (MFI): The base lookback period for MFI calculations. Default is 5. Fast and Slow MFI lengths are derived from this. Smooth: Smoothing period for the final histogram output. Default is 1 (minimal smoothing). 5.💡 Other: Show Divergence Line: Toggle visibility of regular divergence lines. bullDivColor, bearDivColor: Colors for regular divergence lines. Show Hidden Divergence: Toggle visibility of hidden divergence lines. bullHidDivColor, bearHidDivColor: Colors for hidden divergence lines. Show Status Line: Toggle visibility of the top/bottom status bars. gStatColor, rStatColor: Colors for the status line bars. Show TP Signal: Toggle visibility of the TP triangles. gTpColor, rTpColor: Colors for the TP triangles. Show Reversal points: Toggle visibility of the small/large dots on the signal line. gRdColor, rRdColor: Colors for the reversal dots. Delete Broken Divergence Lines: Enable/disable automatic cleanup of older divergence lines. 6. ⚙️ Strategy Inputs: (CRITICAL for Trade Logic) This section defines which visual signals trigger trades. Each signal (Small/Large Dots, TP Triangles, Bright Bars, Signal/Histogram Crosses, Signal/Histogram Max/Min, Divergences) has a dropdown menu: Long: This signal can trigger a long entry. Short: This signal can trigger a short entry. Disabled: This signal will not trigger any entry. Must Be True Checkbox: If checked for a specific signal, that signal's condition must be met for any trade (long or short, depending on the dropdown selection for that signal) to be considered. Multiple "Must Be True" conditions act as AND logic – all must be true simultaneously. How it Works: The strategy first checks if all conditions marked as "Must Be True" (for the relevant trade direction - long or short) are met. If all "Must Be True" conditions are met, it then checks if at least one of the conditions not marked as "Must Be True" (and set to "Long" or "Short" respectively) is also met. If both steps pass, and other filters (like Date Range, FRAMA) allow, an entry order is placed. Example: If "Large Bullish Dot" is set to "Long" and "Must Be True" is checked, AND "Bullish Divergence" is set to "Long" but "Must Be True" is not checked: A long entry requires BOTH the Large Bullish Dot AND the Bullish Divergence to occur simultaneously. If "Large Bullish Dot" was "Long" but not "Must Be True", then EITHER a Large Bullish Dot OR a Bullish Divergence could trigger a long entry (assuming no other "Must Be True" conditions are active). Note: By default, the strategy is configured for long-only trades (strategy.risk.allow_entry_in(strategy.direction.long)). To enable short trades, you would need to comment out or remove this line in the Pine Script code and configure the "Strategy Inputs" accordingly. 7. 💰 Take Profit Settings: Take Profit 1/2/3 (%): The percentage above the entry price (for longs) or below (for shorts) where each TP level is set. (e.g., 1.0 means 1% profit). TP1/2/3 Percentage: The percentage of the currently open position to close when the corresponding TP level is hit. The percentages should ideally sum to 100% if you intend to close the entire position across the TPs. Trailing Stop (%): The percentage below the highest high (for longs) or above the lowest low (for shorts) reached after the activation threshold, where the stop loss will trail. Trailing Stop Activation (%): The minimum profit percentage the trade must reach before the trailing stop becomes active. Re-entry Delay (Bars): The minimum number of bars to wait after a TP is hit before considering a re-entry. Default is 1 (allows immediate re-entry on the next bar if conditions met). Re-entry Price Offset (%): The percentage the price must move beyond the previous TP level before a re-entry is allowed. This prevents immediate re-entry if the price hovers around the TP level. 8. 📈 FRAMA Filter: (Optional Trend Filter) Use FRAMA Filter: Enable or disable the filter. FRAMA Source, FRAMA Period, FRAMA Fast MA, FRAMA Slow MA: Parameters for the FRAMA calculation. Defaults provided are common starting points. FRAMA Filter Type: FRAMA > previous bars: Allows trades only if FRAMA is significantly above its recent average (defined by FRAMA Percentage and FRAMA Lookback). Typically used to confirm strong upward trends for longs. FRAMA < price: Allows trades only if FRAMA is below the current price (framaSource). Can act as a baseline trend filter. FRAMA Percentage (X), FRAMA Lookback (Y): Used only for the FRAMA > previous bars filter type. How it Affects Trades: If Use FRAMA Filter is enabled: Long entries require the FRAMA filter condition to be true. Short entries require the FRAMA filter condition to be false (as currently coded, this acts as an inverse filter for shorts if enabled). How to Use the Strategy 1. Apply to Chart: Open your desired chart on TradingView. Click "Indicators", find "QuantJazz Turbine Trader BETA v1.17" (you might need to add it via Invite-only scripts or if published publicly), and add it to your chart. The oscillator appears below the price chart, and the strategy tester panel opens at the bottom. 2. Configure Strategy Properties: In the Pine Script code itself (or potentially via the UI if supported), adjust the strategy() function parameters like initial_capital, default_qty_value, commission_value, slippage, etc., to match your account, broker fees, and risk settings. The user preferences provided (e.g., 1000 initial capital, 0.1% commission) are examples. Remember use_bar_magnifier is false by default in v1.17. 3. Configure Inputs (Settings Panel): Set the Date Range for backtesting. Crucially, configure the ⚙️ Strategy Inputs. Decide which signals should trigger entries and whether they are mandatory ("Must Be True"). Start simply, perhaps enabling only one or two signals initially, and test thoroughly. Remember the default long-only setting unless you modify the code. Set up your 💰 Take Profit Settings, including TP levels, position size percentages for each TP, and the trailing stop parameters. Decide if you want to use the re-entry feature. Decide whether to use the 📈 FRAMA Filter and configure its parameters if enabled. Adjust visual elements (🚀 Signal Line, 📊 Histogram, 💡 Other) as needed for clarity. 4. Backtest: Use the Strategy Tester panel in TradingView. Analyze the performance metrics (Net Profit, Max Drawdown, Profit Factor, Win Rate, Trade List) across different assets, timeframes, and setting configurations. Pay close attention to how different "Strategy Inputs" combinations perform. 5. Refine: Based on backtesting results, adjust the input settings, TP/SL strategy, and signal combinations to optimize performance for your chosen market and timeframe, while being mindful of overfitting. 6. Automation (Optional): If using 3Commas or a similar platform: Enter your 3C Email Token and 3C Bot ID in the settings. Create alerts in TradingView (right-click on the chart or use the Alert panel). Set the Condition to "QuantJazz Turbine Trader BETA v1.17". In the "Message" box, paste the corresponding placeholder, which will pass the message in JSON from our custom code to TradingView to pass through your webhook: {{strategy.order.alert_message}}. In the next tab, configure the Webhook URL provided by your automation platform. Put a Whale sound, while you're at it! 🐳 When an alert triggers, TradingView will send the pre-formatted JSON message from the strategy code to your webhook URL. Final Notes The QuantJazz Turbine Trader BETA v1.17 offers a wide range of customizable signals and strategy logic. Its effectiveness heavily depends on proper configuration and thorough backtesting specific to the traded asset and timeframe. Start with the default settings, understand each component, and methodically test different combinations of signals and parameters. Remember the inherent risks of trading and never invest capital you cannot afford to lose.
Pine Script® Strategie
von QuantJazz
McLan Pro Strategy Enhanced1. **Dynamic TP/SL Based on ATR**: - Take Profit = Entry ± (ATR × Multiplier) - Stop Loss = Entry ∓ (ATR × Multiplier) - Adjustable via input parameters 2. **Additional Filters for Accuracy**: - Stochastic Oscillator as confirmation - Only enter when Stochastic aligns with the trend direction 3. **Improved Position Management**: - Auto-close positions when TP/SL is hit - Separation between entry and exit logic 4. **Enhanced Visualization**: - Clear TP/SL lines with distinct colors - Background color for trend direction - More informative entry labels 5. **Customizable Parameters**: - TP/SL multipliers - ATR period - Enable/disable TP/SL ## **🎯 How to Use:** 1. **Buy Signal**: - Triggered when price is above ATR Trailing Stop + EMA crossover - Stochastic bullish (K > D and not overbought) - SL = Entry - (ATR × SL Multiplier) - TP = Entry + (ATR × TP Multiplier) 2. **Sell Signal**: - Triggered when price is below ATR Trailing Stop + EMA crossunder - Stochastic bearish (K < D and not oversold) - SL = Entry + (ATR × SL Multiplier) - TP = Entry - (ATR × TP Multiplier) ## **📊 Optimization for Scalping**: - Use M5-M15 timeframe - ATR Period 10-14 - TP Multiplier 2.0-3.0 - SL Multiplier 1.0-1.5 - Activate during London/New York sessions This strategy now features **controlled risk-reward ratios** and **stricter entry confirmations**. For best results, combine with proper risk management (1-2% per trade).
Pine Script® Strategie
von akbarlanaa
Dow Theory Trend Strategy v3Title: Dow Theory Trend Strategy Description: This Pine Script implements a trading strategy based on classic Dow Theory principles for trend identification. It analyzes pivot highs and lows to determine uptrends (Higher Highs & Higher Lows) and downtrends (Lower Highs & Lower Lows), entering trades when the trend direction is confirmed to change. This version (v3) includes several key features and improvements: Core Dow Theory Logic: Identifies trends based on confirmed sequences of pivot points detected using ta.pivothigh() and ta.pivotlow(). Improved Trend Persistence: The script confirms an uptrend only on both a Higher High (HH) and Higher Low (HL), and a downtrend on both a Lower High (LH) and Lower Low (LL). Crucially, if neither condition is met, the script maintains the previous trend state (trendDirection ), leading to smoother trend following compared to logic that frequently resets to neutral. Manual Trend Override: A user input allows you to override the automatic Dow Theory trend detection. You can set the strategy to: Auto: Follow the calculated Dow Theory trend signals. Long Only: Only take long entry signals. Short Only: Only take short entry signals. Tick-Based Stop Loss & Take Profit: Optional Stop Loss (SL) and Take Profit (TP) levels can be enabled. These are set in Ticks from the entry price using strategy.exit(). Important: You must understand what a 'tick' (syminfo.mintick) represents for the specific instrument you are trading when setting the stopLossTicks and takeProfitTicks inputs (e.g., for EURUSD with mintick=0.00001, a 20 pip SL = 200 ticks). Clear Visualizations: Background color changes to reflect the detected Dow Theory trend (Blue for Up, Red for Down, Gray for Undetermined). Optional markers for confirmed pivot points. Optional labels indicating confirmed trend change signals (potential entry points). Code Structure Note: This version defines the options for the "Manual Trend Mode" input directly inline within the input.string() function to potentially improve compatibility for users who experienced issues with copy-pasting previous versions that used a separate array definition. How it Works: Pivots are identified using the pivotLookback period (note the inherent lag). The trend direction (trendDirection) is updated based on HH/HL or LH/LL confirmations, otherwise, it persists. Strategy enters long on changedToUp (if allowed by mode) and short on changedToDown (if allowed by mode). If enabled, strategy.exit places SL and TP orders based on the specified number of ticks immediately upon entry. Inputs: Calculation Settings: pivotLookback: Controls pivot detection sensitivity and lag. Display Settings: Show Pivot Points: Toggle pivot markers. Show Trend Change Signals: Toggle entry signal labels. Strategy Settings: Manual Trend Mode: Select "Auto", "Long Only", or "Short Only". Risk Management: Use Stop Loss: Enable/disable SL. Stop Loss (Ticks): Set SL distance in ticks. Use Take Profit: Enable/disable TP. Take Profit (Ticks): Set TP distance in ticks. How to Use: Add the script to your TradingView chart. Access the Settings panel for the script. Configure the pivotLookback appropriate for your timeframe and instrument. Choose your desired Manual Trend Mode. Enable and configure the Stop Loss (Ticks) and Take Profit (Ticks) carefully, based on the instrument's tick size and your risk management plan. Use the Strategy Tester tab to backtest performance on historical data. Disclaimer: This script is provided for educational and informational purposes only. Trading strategies based on Dow Theory involve inherent lag. Past performance is not indicative of future results. Financial markets involve risk, and you should not trade with capital you cannot afford to lose. Always conduct thorough backtesting and implement robust risk management practices before considering any live trading. This script does not constitute financial advice.
Pine Script® Strategie
von Salaryman_G
Ruben.Ramiro - Momentum Breakout StrategyThis strategy is designed to capture breakout movements aligned with the prevailing trend, using a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) for entry signals and risk management. It includes clear long/short entry conditions, dynamic stop-losses. 1. Trend Identification Uses two EMAs: • Fast EMA (default 20 periods) • Slow EMA (default 50 periods) The trend is considered bullish if EMA Fast > EMA Slow, and bearish if EMA Fast < EMA Slow. 2. Momentum Filter (RSI) Applies a 14-period RSI to avoid entries during overbought/oversold conditions: • Avoids long entries when RSI > 70 (overbought) • Avoids short entries when RSI < 30 (oversold) 3. Breakout Logic Detects breakouts over a configurable period (default: 5 candles): • Resistance: Highest high over the last N periods (excluding the current one) • Support: Lowest low over the last N periods (excluding the current one) 4. Entry Conditions Long Entry: • Price breaks above recent resistance • Uptrend confirmed (EMA Fast > EMA Slow) • RSI not overbought Short Entry: • Price breaks below recent support • Downtrend confirmed (EMA Fast < EMA Slow) • RSI not oversold 5. Position Management Stop-Loss and Trailing Stop based on ATR: Stop-Loss: • For long: entry price - (ATR * SL multiplier) • For short: entry price + (ATR * SL multiplier) Trailing Stop: • Uses same ATR * trailing multiplier for both trail_points and trail_offset • Defaults for both SL and trailing multiplier: 1.5x ATR 6. Alerts (Webhook) JSON-formatted webhook alerts: • Long entry: Market buy order • Short entry: Market sell order 7. Visual Cues • Green triangle below bar for Long entries • Red triangle above bar for Short entries
Pine Script® Strategie
von ruben_ramiro
2
SUPERTREND BASICSUPERTREND BASIC 2.0 The Supertrend Indicator is a popular trend-following tool used in trading to determine market direction based on price movements and volatility. It helps traders identify potential entry and exit points by plotting a continuous line above or below the price. The Supertrend shifts its position based on the Average True Range (ATR) and a multiplier, which adjusts its sensitivity to price fluctuations. How the Supertrend Works ATR-Based Calculation – The indicator relies on the ATR to measure market volatility. Upper and Lower Bands – It calculates trend levels based on the ATR and a user-defined multiplier. Trend Confirmation – If the price moves above the Supertrend line, it turns bullish (green), signaling a buy opportunity. If the price moves below the Supertrend line, it turns bearish (red), indicating a sell signal.
Pine Script® Strategie
von QuantsTrades