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Pinbar MTF - No Repaint# Pinbar MTF - No Repaint Indicator ## Complete Technical Documentation --- ## 📊 Overview **Pinbar MTF (Multi-Timeframe) - No Repaint** is a professional-grade TradingView Pine Script indicator designed to detect high-probability pinbar reversal patterns with advanced filtering systems. The indicator is specifically engineered to be **100% non-repainting**, making it reliable for both live trading and backtesting. ### Key Features ✅ **Non-Repainting** - Signals only appear AFTER bar closes, never disappear ✅ **Three-Layer Filter System** - ATR, SWING, and RSI filters ✅ **Automatic SL/TP Calculation** - Based on risk:reward ratios ✅ **Real-time Alerts** - TradingView notifications for all signals ✅ **Visual Trade Management** - Lines, labels, and areas for entries, stops, and targets ✅ **Backtesting Ready** - Reliable historical data for strategy testing --- ## 🎯 What is a Pinbar? A **Pinbar (Pin Bar/Pinocchio Bar)** is a single candlestick pattern that indicates a potential price reversal: ### Bullish Pinbar (BUY Signal) - **Long lower wick** (rejection of lower prices) - **Small body at the top** of the candle - Shows buyers rejected sellers' attempt to push price down - Forms at support levels or swing lows - Entry signal for LONG positions ### Bearish Pinbar (SELL Signal) - **Long upper wick** (rejection of higher prices) - **Small body at the bottom** of the candle - Shows sellers rejected buyers' attempt to push price up - Forms at resistance levels or swing highs - Entry signal for SHORT positions --- ## 🔧 How the Indicator Works ### 1. **Pinbar Detection Logic** The indicator analyzes the **previous closed bar ** to identify pinbar patterns: ``` Bullish Pinbar Requirements: - Lower wick > 72% of total candle range (adjustable) - Upper wick < 28% of total candle range - Close > Open (bullish candle body) Bearish Pinbar Requirements: - Upper wick > 72% of total candle range (adjustable) - Lower wick < 28% of total candle range - Close < Open (bearish candle body) ``` **Why check ?** By analyzing the previous completed bar, we ensure the pattern is fully formed and won't change, preventing repainting. --- ### 2. **Three-Layer Filter System** #### 🔍 **Filter #1: ATR (Average True Range) Filter** - **Purpose**: Ensures the pinbar has significant size - **Function**: Only signals if pinbar range ≥ ATR value - **Benefit**: Filters out small, insignificant pinbars - **Settings**: - Enable/Disable toggle - ATR Period (default: 7) **Example**: If ATR = 50 pips, only pinbars with 50+ pip range will signal. --- #### 🔍 **Filter #2: SWING Filter** (Always Active) - **Purpose**: Confirms pinbar forms at swing highs/lows - **Function**: Validates the pinbar is an absolute high/low - **Benefit**: Identifies true reversal points - **Settings**: - Swing Candles (default: 3) **How it works**: - For bullish pinbar: Checks if low is lowest of past 3 bars - For bearish pinbar: Checks if high is highest of past 3 bars **Example**: With 3 swing candles, a bullish pinbar must have the lowest low among the last 3 bars. --- #### 🔍 **Filter #3: RSI (Relative Strength Index) Filter** - **Purpose**: Confirms momentum conditions - **Function**: Prevents signals in extreme momentum zones - **Benefit**: Avoids counter-trend trades - **Settings**: - Enable/Disable toggle - RSI Period (default: 7) - RSI Source (Close, Open, High, Low, HL2, HLC3, OHLC4) - Overbought Level (default: 70) - Oversold Level (default: 30) **Logic**: - Bullish Pinbar: Only signals if RSI < 70 (not overbought) - Bearish Pinbar: Only signals if RSI > 30 (not oversold) --- ### 3. **Stop Loss Calculation** Two methods available: #### Method A: ATR-Based Stop Loss (Recommended) ``` Bullish Pinbar: SL = Pinbar Low - (1 × ATR) Bearish Pinbar: SL = Pinbar High + (1 × ATR) ``` **Benefit**: Dynamic stops that adapt to market volatility #### Method B: Fixed Pips Stop Loss ``` Bullish Pinbar: SL = Pinbar Low - (Fixed Pips) Bearish Pinbar: SL = Pinbar High + (Fixed Pips) ``` **Settings**: - Calculate Stop with ATR (toggle) - Stop Pips without ATR (default: 5) --- ### 4. **Take Profit Calculation** Take Profit is calculated based on Risk:Reward ratio: ``` Bullish Trade: TP = Entry + (Entry - SL) × Risk:Reward Ratio Bearish Trade: TP = Entry - (SL - Entry) × Risk:Reward Ratio ``` **Example**: - Entry: 1.2000 - SL: 1.1950 (50 pip risk) - RR: 2:1 - TP: 1.2100 (100 pip reward = 50 × 2) **Settings**: - Risk:Reward Ratio (default: 1.0, range: 0.1 to 10.0) --- ## 📈 Visual Elements ### On-Chart Displays 1. **Signal Markers** - 🟢 **Green Triangle Up** = Bullish Pinbar (BUY) - 🔴 **Red Triangle Down** = Bearish Pinbar (SELL) - Placed directly on the pinbar candle 2. **Entry Labels** - Green "BUY" label with entry price - Red "SELL" label with entry price - Shows exact entry level 3. **Stop Loss Lines** - 🔴 Red horizontal line - "SL" label - Extends 20 bars forward 4. **Take Profit Lines** - 🟢 Green horizontal line - "TP" label - Extends 20 bars forward 5. **Risk/Reward Areas** (Optional) - Red shaded box = Risk zone (Entry to SL) - Green shaded box = Reward zone (Entry to TP) - Visual risk:reward visualization 6. **Info Table** (Top Right) - Displays current settings - Shows filter status (ON/OFF) - Real-time RSI value - Quick reference panel --- ## 🔔 Alert System Three alert types available: ### 1. Combined Alert: "Pinbar Signal (Any Direction)" - Fires for BOTH bullish and bearish pinbars - **Best for**: General monitoring - **Message**: "Pinbar Signal Detected on {TICKER} at {PRICE}" ### 2. Bullish Alert: "Bullish Pinbar Alert" - Fires ONLY for BUY signals - **Best for**: Long-only strategies - **Message**: "BUY Signal on {TICKER} at {PRICE}" ### 3. Bearish Alert: "Bearish Pinbar Alert" - Fires ONLY for SELL signals - **Best for**: Short-only strategies - **Message**: "SELL Signal on {TICKER} at {PRICE}" --- ## ⚙️ Input Parameters Reference ### **Filters Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | ATR Filter on Pinbar Range? | ✅ ON | Boolean | Enable/disable ATR filter | | ATR Period | 7 | 1+ | Lookback period for ATR calculation | | Swing Candles | 3 | 1+ | Bars to check for swing high/low | | RSI Filter on Pinbar? | ❌ OFF | Boolean | Enable/disable RSI filter | | RSI Period | 7 | 2+ | Lookback period for RSI calculation | | RSI Source | Close | Multiple | Price data for RSI (Close/Open/High/Low/etc) | | RSI Overbought Level | 70 | 50-100 | Upper threshold for RSI filter | | RSI Oversold Level | 30 | 0-50 | Lower threshold for RSI filter | ### **Pinbar Detection Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Shadow % vs Body | 72 | 50-95 | Minimum wick size as % of total range | ### **Visualization Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Show SL and TP Lines? | ✅ ON | Boolean | Display stop loss and take profit lines | | Show SL and TP Area? | ❌ OFF | Boolean | Show shaded risk/reward boxes | ### **Risk Management Group** | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Risk:Reward Ratio | 1.0 | 0.1-10.0 | Target profit vs risk (1.0 = 1:1, 2.0 = 1:2) | | Calculate Stop with ATR? | ✅ ON | Boolean | Use ATR for stop calculation | | Stop Pips without ATR | 5 | 1+ | Fixed pip stop when ATR disabled | --- ## 🚫 Non-Repainting Architecture ### What is Repainting? **Repainting** occurs when an indicator's historical signals differ from what appeared in real-time. This makes backtesting unreliable and can lead to false confidence in a strategy. ### How This Indicator Prevents Repainting 1. **Closed Bar Analysis** - All calculations use ` ` offset (previous bar) - Only analyzes COMPLETED candles - Signals appear on the bar AFTER the pinbar closes 2. **Confirmed Swing Points** - Waits for sufficient bar history before signaling - Only checks historical bars that cannot change - Prevents premature swing detection 3. **Static Alert Timing** - Alerts fire only after bar completion - No conditional logic that changes historically - Same results in replay mode and live trading ### Verification Method To verify non-repainting behavior: 1. Apply indicator to chart 2. Note signal locations and prices 3. Refresh browser / reload chart 4. **Signals remain in exact same locations** --- ## 💼 Trading Strategy Guidelines ### Entry Rules **For Bullish Pinbar (LONG):** 1. Wait for green triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar high 4. Place stop loss at red SL line 5. Set target at green TP line **For Bearish Pinbar (SHORT):** 1. Wait for red triangle to appear 2. Enter at close of pinbar (shown in label) 3. Alternative: Enter on break of pinbar low 4. Place stop loss at red SL line 5. Set target at green TP line ### Risk Management - **Position Sizing**: Risk only 1-2% of account per trade - **Stop Loss**: Always use the calculated SL (never move it wider) - **Take Profit**: Use calculated TP or trail stop after 1:1 RR - **Multiple Timeframes**: Confirm signals on higher timeframe ### Best Practices ✅ **DO:** - Wait for bar to close before entering - Trade in direction of higher timeframe trend - Use on liquid markets with clear support/resistance - Combine with price action analysis - Keep a trading journal ❌ **DON'T:** - Enter before bar closes (prevents seeing full pattern) - Trade against strong trends - Ignore the filters (they improve win rate) - Risk more than 2% per trade - Trade every signal (be selective) --- ## 📊 Backtesting & Data Export ### Available Data Points The indicator exports these values for strategy development: | Output | Description | |--------|-------------| | Bullish Signal | 1 = BUY signal, 0 = No signal | | Bearish Signal | 1 = SELL signal, 0 = No signal | | Bull SL | Stop loss level for long trades | | Bull TP | Take profit level for long trades | | Bull Entry | Entry price for long trades | | Bear SL | Stop loss level for short trades | | Bear TP | Take profit level for short trades | | Bear Entry | Entry price for short trades | ### How to Use in Strategy These values can be accessed by Pine Script strategies using: ```pine indicator_values = request.security(syminfo.tickerid, timeframe.period, ) ``` --- ## 🎓 Understanding the Filters ### Why Use Multiple Filters? Single-indicator systems often generate too many false signals. This indicator uses a **confluence approach**: 1. **Pinbar Pattern** = Price rejection detected 2. **+ SWING Filter** = Rejection at key level 3. **+ ATR Filter** = Significant move 4. **+ RSI Filter** = Favorable momentum **Result**: Higher probability setups with better risk:reward ### Filter Optimization **Conservative Settings** (Fewer, Higher Quality Signals): - ATR Filter: ON - Swing Candles: 5 - RSI Filter: ON - Shadow %: 75% **Aggressive Settings** (More Signals, More Noise): - ATR Filter: OFF - Swing Candles: 2 - RSI Filter: OFF - Shadow %: 65% **Balanced Settings** (Recommended): - ATR Filter: ON - Swing Candles: 3 - RSI Filter: OFF (or ON for trending markets) - Shadow %: 72% --- ## 🔍 Troubleshooting ### "No Signals Appearing" **Possible Causes:** 1. Filters are too strict 2. No pinbars forming on chart 3. Insufficient bar history **Solutions:** - Reduce Shadow % to 65% - Reduce Swing Candles to 2 - Disable ATR or RSI filters temporarily - Check that chart has enough data loaded ### "Too Many Signals" **Solutions:** - Enable ATR filter - Increase Swing Candles to 4-5 - Enable RSI filter - Increase Shadow % to 75-80% ### "Signals Appearing Late" **This is normal behavior!** The indicator: - Analyzes previous closed bar - Signals appear on the bar AFTER the pinbar - This is what prevents repainting - Signal latency is 1 bar (by design) --- ## 📝 Technical Specifications **Indicator Type:** Overlay (displays on price chart) **Pine Script Version:** 5 **Max Labels:** 500 **Max Lines:** 500 **Repainting:** None (100% non-repainting) **Data Window Values:** 8 exported values **Alert Types:** 3 (Combined, Bullish, Bearish) **Performance:** - Lightweight script (fast execution) - Works on all timeframes - Compatible with all markets (Forex, Crypto, Stocks, Futures) - No data snooping bias --- ## 🎯 Use Cases ### 1. **Swing Trading** - Timeframe: Daily, 4H - Filter Settings: All enabled - Best for: Catching major reversals ### 2. **Day Trading** - Timeframe: 15m, 1H - Filter Settings: ATR + SWING only - Best for: Intraday reversals ### 3. **Scalping** - Timeframe: 5m, 15m - Filter Settings: SWING only (aggressive) - Best for: Quick reversals (requires experience) ### 4. **Position Trading** - Timeframe: Weekly, Daily - Filter Settings: All enabled + high RR (2:1 or 3:1) - Best for: Long-term trend reversal catches --- ## 🏆 Advantages Over Other Pinbar Indicators ✅ **Guaranteed Non-Repainting** - Many pinbar indicators repaint; this one never does ✅ **Automatic SL/TP** - No manual calculation needed ✅ **Multi-Layer Filtering** - Reduces false signals significantly ✅ **Visual Trade Management** - Clear entry, stop, and target levels ✅ **Flexible Configuration** - Adaptable to any trading style ✅ **Alert System** - Never miss a setup ✅ **Backtesting Ready** - Reliable historical data ✅ **Professional Grade** - Suitable for live trading --- ## 📚 Educational Resources ### Recommended Reading on Pinbars - "The Pin Bar Trading Strategy" by Nial Fuller - "Price Action Trading" by Al Brooks - TradingView Education: Price Action Patterns ### Practice Recommendations 1. Paper trade signals for 20+ trades before live trading 2. Backtest on different timeframes and markets 3. Keep detailed records of all trades 4. Analyze winning vs losing setups 5. Refine filter settings based on results --- ## ⚖️ Disclaimer This indicator is a tool for technical analysis and does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results. - Always use proper risk management - Never risk more than you can afford to lose - Consider your trading experience and objectives - Seek independent financial advice if needed --- ## 📧 Version Information **Current Version:** 1.0 **Last Updated:** 2024 **Compatibility:** TradingView Pine Script v5 **Status:** Production Ready --- ## 🔄 Future Enhancements (Potential) Possible future additions: - Multi-timeframe confirmation option - Volume filter integration - Customizable color schemes - Win rate statistics display - Partial profit taking levels - Trailing stop functionality --- ## 📖 Quick Start Guide ### 5-Minute Setup 1. **Add to Chart** - Open TradingView - Go to Pine Editor - Paste the code - Click "Add to Chart" 2. **Configure Settings** - Open indicator settings (gear icon) - Start with default settings - Enable "Show SL and TP Lines" 3. **Set Alert** - Right-click indicator name - Click "Add Alert" - Select "Pinbar Signal (Any Direction)" - Configure notification method 4. **Test** - Scroll back on chart - Verify signals make sense - Check that signals don't repaint 5. **Trade** (After Practice!) - Wait for alert - Verify signal quality - Enter, place SL/TP - Manage trade --- ## 🎯 Final Thoughts The **Pinbar MTF - No Repaint** indicator is designed for serious traders who value: - **Reliability** over flashy signals - **Quality** over quantity - **Honesty** over false promises This indicator will NOT: - Make you rich overnight - Win every trade - Replace proper trading education This indicator WILL: - Identify high-probability reversal setups - Save you analysis time - Provide consistent, non-repainting signals - Help you develop a systematic trading approach **Success in trading comes from:** 1. Proper education (60%) 2. Risk management (30%) 3. Technical tools like this indicator (10%) Use this tool as part of a complete trading plan, not as a standalone solution.
Pine Script®指標
由Makshels提供
Machine Learning | Adaptive Trend Signals [Bitwardex]⚙️🧠Machine Learning | Adaptive Trend Signals 🔷Overview Machine Learning | Adaptive Trend Signals is a Pine Script™ v6 indicator designed to visualize market trends and generate signals through a combination of volatility clustering, Gaussian smoothing, and adaptive trend calculations. Built as an overlay indicator, it integrates advanced techniques inspired by machine learning concepts, such as K-Means clustering, to adapt to changing market conditions. The script is highly customizable, includes a backtesting module, and supports alert conditions, making it suitable for traders exploring trend-based strategies and developers studying volatility-driven indicator design. 🔷Functionality The indicator performs the following core functions: • Volatility Clustering: Uses K-Means clustering to categorize market volatility into high, medium, and low states, adjusting trend sensitivity accordingly. • Trend Calculation: Computes adaptive trend lines (SmartTrend) based on volatility-adjusted standard deviation, smoothed RSI, and ADX filters. • Signal Generation: Identifies potential buy and sell points through trend line crossovers and directional confirmation. • Backtesting Module: Tracks trade outcomes based on the SmartTrend3 value, displaying win rate and total trades. • Visualization: Plots trend lines with gradient colors and optional signal markers (bullish 🐮 and bearish 🐻). • Alerts: Provides configurable alerts for trend shifts and volatility state changes. 🔷Technical Methodology Volatility Clustering with K-Means The indicator employs a K-Means clustering algorithm to classify market volatility, measured via the Average True Range (ATR), into three distinct clusters: • Data Collection: Gathers ATR values over a user-defined training period (default: 100 bars). • Centroid Initialization: Sets initial centroids at the highest, lowest, and midpoint ATR values within the training period. • Iterative Clustering: Assigns ATR data points to the nearest centroid, recalculates centroid means, and repeats until convergence. • Dynamic Adjustment: Assigns a volatility state (high, medium, or low) based on the closest centroid, adjusting the trend factor (e.g., tighter for high volatility, wider for low volatility). This approach allows the indicator to adapt its sensitivity to varying market conditions, providing a data-driven foundation for trend calculations. 🔷Gaussian Smoothing To enhance signal clarity and reduce noise, the indicator applies Gaussian kernel smoothing to: • RSI: Smooths the Relative Strength Index (calculated from OHLC4) to filter short-term fluctuations. • SmartTrend: Smooths the primary trend line for a more stable output. The Gaussian kernel uses a sigma value derived from the user-defined smoothing length, ensuring mathematically consistent noise reduction. 🔷SmartTrend Calculation The pineSmartTrend function is the core of the indicator, producing three trend lines: • SmartTrend: The primary trend line, calculated using a volatility-adjusted standard deviation, smoothed RSI, and ADX conditions. • SmartTrend2: A secondary trend line with a wider factor (base factor * 1.382) for signal confirmation. SmartTrend3: The average of SmartTrend and SmartTrend2, used for plotting and backtesting. Key components of the calculation include: • Dynamic Standard Deviation: Scales based on ATR relative to its 50-period smoothed average, with multipliers (1.0 to 1.4) applied according to volatility thresholds. • RSI and ADX Filters: Requires RSI > 50 for bullish trends or < 50 for bearish trends, alongside ADX > 15 and rising to confirm trend strength. Volatility-Adjusted Bands: Constructs upper and lower bands around price action, adjusted by the volatility cluster’s dynamic factor. 🔷Signal Generation The generate_signals function generates signals as follows: • Buy Signal: Triggered when SmartTrend crosses above SmartTrend2 and the price is above SmartTrend, with directional confirmation. • Sell Signal: Triggered when SmartTrend crosses below SmartTrend2 and the price is below SmartTrend, with directional confirmation. Directional Logic: Tracks trend direction to filter out conflicting signals, ensuring alignment with the broader market context. Signals are visualized as small circles with bullish (🐮) or bearish (🐻) emojis, with an option to toggle visibility. 🔷Backtesting The get_backtest function evaluates signal outcomes using the SmartTrend3 value (rather than closing prices) to align with the trend-based methodology. It tracks: • Total Trades: Counts completed long and short trades. • Win Rate: Calculates the percentage of trades where SmartTrend3 moves favorably (higher for longs, lower for shorts). Position Management: Closes opposite positions before opening new ones, simulating a single-position trading system. Results are displayed in a table at the top-right of the chart, showing win rate and total trades. Note that backtest results reflect the indicator’s internal logic and should not be interpreted as predictive of real-world performance. 🔷Visualization and Alerts • Trend Lines: SmartTrend3 is plotted with gradient colors reflecting trend direction and volatility cluster, accompanied by a secondary line for visual clarity. • Signal Markers: Optional buy/sell signals are plotted as small circles with customizable colors. • Alerts: Supports alerts for: • Bullish and bearish trend shifts (confirmed on bar close). Transitions to high, medium, or low volatility states. 🔷Input Parameters • ATR Length (default: 14): Period for ATR calculation, used in volatility clustering. • Period (default: 21): Common period for RSI, ADX, and standard deviation calculations. • Base SmartTrend Factor (default: 2.0): Base multiplier for volatility-adjusted bands. • SmartTrend Smoothing Length (default: 10): Length for Gaussian smoothing of the trend line. • Show Buy/Sell Signals? (default: true): Enables/disables signal markers. • Bullish/Bearish Color: Customizable colors for trend lines and signals. 🔷Usage Instructions • Apply to Chart: Add the indicator to any TradingView chart. • Configure Inputs: Adjust parameters to align with your trading style or market conditions (e.g., shorter ATR length for faster markets). • Interpret Output: • Trend Lines: Use SmartTrend3’s direction and color to gauge market bias. • Signals: Monitor bullish (🐮) and bearish (🐻) markers for potential entry/exit points. • Backtest Table: Review win rate and total trades to understand the indicator’s behavior in historical data. • Set Alerts: Configure alerts for trend shifts or volatility changes to support manual or automated trading workflows. • Combine with Analysis: Use the indicator alongside other tools or market context, as it is designed to complement, not replace, comprehensive analysis. 🔷Technical Notes • Data Requirements: Requires at least 100 bars for accurate volatility clustering. Ensure sufficient historical data is loaded. • Market Suitability: The indicator is designed for trend detection and may perform differently in ranging or volatile markets due to its reliance on RSI and ADX filters. • Backtesting Scope: The backtest module uses SmartTrend3 values, which may differ from price-based outcomes. Results are for informational purposes only. • Computational Intensity: The K-Means clustering and Gaussian smoothing may increase processing time on lower timeframes or with large datasets. 🔷For Developers The script is modular, well-commented, encouraging reuse and modification with proper attribution. Key functions include: • gaussianSmooth: Applies Gaussian kernel smoothing to any data series. • pineSmartTrend: Computes adaptive trend lines with volatility and momentum filters. • getDynamicFactor: Adjusts trend sensitivity based on volatility clusters. • get_backtest: Evaluates signal performance using SmartTrend3. Developers can extend these functions for custom indicators or strategies, leveraging the volatility clustering and smoothing methodologies. The K-Means implementation is particularly useful for adaptive volatility analysis. 🔷Limitations • The indicator is not predictive and should be used as part of a broader trading strategy. • Performance varies by market, timeframe, and parameter settings, requiring user experimentation. • Backtest results are based on historical data and internal logic, not real-world trading conditions. • Volatility clustering assumes sufficient historical data; incomplete data may affect accuracy. 🔷Acknowledgments Developed by Bitwardex, inspired by machine learning concepts and adaptive trading methodologies. Community feedback is welcome via TradingView’s platform. 🔷 Risk Disclaimer Trading involves significant risks, and most traders may incur losses. Bitwardex AI Algo is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument . The signals, metrics, and features are tools for analysis and do not guarantee profits or specific outcomes. Past performance is not indicative of future results. Always conduct your own due diligence and consult a financial advisor before making trading decisions.
Pine Script®指標
由bitwardex提供
6
Alans Date Range CalculatorOverview Setting a date range for backtesting enables you to evaluate your trading strategy under various market conditions. Traders can test a strategy’s performance during specific periods, such as economic downturns, bull markets, or periods of high volatility. This helps assess the trading strategy’s robustness and adaptability across different scenarios. Specifying years of data instead of just inputting specific start and end dates offers several advantages: 1. **Consistency**: Using a fixed number of years ensures that the testing period is consistent across different strategies or iterations. This makes it easier to compare performance metrics and draw meaningful conclusions. 2. **Flexibility**: Specifying years allows for automatic adjustment of the start date based on the current date or selected end date. This is particularly useful when new data becomes available or when testing on different assets with varying historical data lengths. 3. **Efficiency**: It simplifies updating and retesting strategies. Instead of recalculating specific start dates each time, traders can quickly adjust the number of years to process, making it easier to test strategies over different timeframes. 4. **Comprehensive Analysis**: Broader timeframes defined by years help you evaluate how your strategy performs over multiple market cycles, providing insights into long-term viability and potential weaknesses. Defining a date range by specifying years allows for more thorough and systematic backtesting, helping traders develop more reliable and effective trading systems. Alan's Date Range Calculator: A TradingView Pine Script Indicator Purpose This Pine Script indicator calculates and displays a date range for backtesting trading strategies. It allows users to specify the number of years to analyze and an end date, then calculates the corresponding start date. Most importantly, users can copy the inputs and function into their own strategies to quickly add a time span feature for backtesting. Key Features User-defined input for the number of years to analyze Customizable end date with a calendar input Automatic calculation of the start date Visual display of both start and end dates on the chart How It Works User Inputs Years of Data to Process: An integer input allowing users to specify the number of years for analysis (default: 20, range: 1-100) End Date: A calendar input for selecting the end date of the analysis period (default: December 31, 2024) Date Calculation The script uses a custom function calcStartDate() to determine the start date. It subtracts the specified number of years from the end date's year and sets the start date to January 1st of that year. Visual Output The indicator displays two labels on the chart: Start Date Label: Shows the calculated start date End Date Label: Displays the user-specified end date Both labels are positioned horizontally at the bottom of the chart, with the end date label to the right of the start date label. Applications This indicator is particularly useful for traders who want to: Define specific date ranges for backtesting strategies Quickly visualize the time span of their analysis Ensure consistent testing periods across different strategies or assets Customization Users can easily adjust the analysis period by changing the number of years or selecting a different end date. This flexibility allows for testing strategies across various market conditions and time frames.
Pine Script®指標
由QuantByAlan提供
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools. Recommended Input Parameters These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading. Fast EMA Length (emaFastLen): 9 Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe. Slow EMA Length (emaSlowLen): 21 Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction. RSI Length (rsiLen): 14 Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes. RSI Overbought (rsiOverbought): 75 Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets. RSI Oversold (rsiOversold): 25 Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals. MACD Fast Length (macdFast): 12 Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals. MACD Slow Length (macdSlow): 26 Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much. MACD Signal Smoothing (macdSignal): 9 Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart. Bollinger Bands Length (bbLen): 20 Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets. Bollinger Bands Multiplier (bbMult): 2.0 Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets. Stop Loss % (slPerc): 0.8% Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable. Take Profit % (tpPerc): 1.5% Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits. Use Candlestick Patterns (useCandlePatterns): True Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets. Use Volume Filter (useVolumeFilter): True Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets. Signal Arrow Size (signalSize): 2.0 Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action. Background Highlight Transparency (bgTransparency): 85 Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter. How to Apply These Parameters Copy the Script: Use the Pine Script provided in the previous response. Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart." Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields. Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart. Fine-Tuning for Optimal Performance To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features: Backtesting: Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance). Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester. Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways). Parameter Optimization: In the Strategy Tester, click the settings gear next to the strategy name. Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0). Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data. Market-Specific Adjustments: Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings. Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better. Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends. Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise. Forward Testing: After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions. Important Notes No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices. Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance. Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare. Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds. If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
Pine Script®策略
由Hilly1976提供
Canuck Trading Trader StrategyCanuck Trading Trader Strategy Overview The Canuck Trading Trader Strategy is a high-performance, trend-following trading system designed for NASDAQ:TSLA on a 15-minute timeframe. Optimized for precision and profitability, this strategy leverages short-term price trends to capture consistent gains while maintaining robust risk management. Ideal for traders seeking an automated, data-driven approach to trading Tesla’s volatile market, it delivers strong returns with controlled drawdowns. Key Features Trend-Based Entries: Identifies short-term trends using a 2-candle lookback period and a minimum trend strength of 0.2%, ensuring responsive trade signals. Risk Management: Includes a configurable 3.0% stop-loss to cap losses and a 2.0% take-profit to lock in gains, balancing risk and reward. High Precision: Utilizes bar magnification for accurate backtesting, reflecting realistic trade execution with 1-tick slippage and 0.1 commission. Clean Interface: No on-chart indicators, providing a distraction-free trading experience focused on performance. Flexible Sizing: Allocates 10% of equity per trade with support for up to 2 simultaneous positions (pyramiding). Performance Highlights Backtested from March 1, 2024, to June 20, 2025, on NASDAQ:TSLA (15-minute timeframe) with $1,000,000 initial capital: Net Profit: $2,279,888.08 (227.99%) Win Rate: 52.94% (3,039 winning trades out of 5,741) Profit Factor: 3.495 Max Drawdown: 2.20% Average Winning Trade: $1,050.91 (0.55%) Average Losing Trade: $338.20 (0.18%) Sharpe Ratio: 2.468 Note: Past performance is not indicative of future results. Always validate with your own backtesting and forward testing. Usage Instructions Setup: Apply the strategy to a NASDAQ:TSLA 15-minute chart. Ensure your TradingView account supports bar magnification for accurate results. Configuration: Lookback Candles: Default is 2 (recommended). Min Trend Strength: Set to 0.2% for optimal trade frequency. Stop Loss: Default 3.0% to cap losses. Take Profit: Default 2.0% to secure gains. Order Size: 10% of equity per trade. Pyramiding: Allows up to 2 orders. Commission: Set to 0.1. Slippage: Set to 1 tick. Enable "Recalculate After Order is Filled" and "Recalculate on Every Tick" in backtest settings. Backtesting: Run backtests over March 1, 2024, to June 20, 2025, to verify performance. Adjust stop-loss (e.g., 2.5%) or take-profit (e.g., 1–3%) to suit your risk tolerance. Live Trading: Use with a compatible broker or TradingView alerts for automated execution. Monitor execution for slippage or latency, especially given the high trade frequency (5,741 trades). Validate in a demo account before deploying with real capital. Risk Disclosure Trading involves significant risk and may result in losses exceeding your initial capital. The Canuck Trading Trader Strategy is provided for educational and informational purposes only. Users are responsible for their own trading decisions and should conduct thorough testing before using in live markets. The strategy’s high trade frequency requires reliable execution infrastructure to minimize slippage and latency.
Pine Script®策略
由ctoincanada提供
6
Optimized Heikin Ashi Strategy with Buy/Sell OptionsStrategy Name: Optimized Heikin Ashi Strategy with Buy/Sell Options Description: The Optimized Heikin Ashi Strategy is a trend-following strategy designed to capitalize on market trends by utilizing the smoothness of Heikin Ashi candles. This strategy provides flexible options for trading, allowing users to choose between Buy Only (long-only), Sell Only (short-only), or using both in alternating conditions based on the Heikin Ashi candle signals. The strategy works on any market, but it performs especially well in markets where trends are prevalent, such as cryptocurrency or Forex. This script offers customizable parameters for the backtest period, Heikin Ashi timeframe, stop loss, and take profit levels, allowing traders to optimize the strategy for their preferred markets or assets. Key Features: Trade Type Options: Buy Only: Enter a long position when a green Heikin Ashi candle appears and exit when a red candle appears. Sell Only: Enter a short position when a red Heikin Ashi candle appears and exit when a green candle appears. Stop Loss and Take Profit: Customizable stop loss and take profit percentages allow for flexible risk management. The default stop loss is set to 2%, and the default take profit is set to 4%, maintaining a favorable risk/reward ratio. Heikin Ashi Timeframe: Traders can select the desired timeframe for Heikin Ashi candle calculation (e.g., 4-hour Heikin Ashi candles for a 1-hour chart). The strategy smooths out price action and reduces noise, providing clearer signals for entry and exit. Inputs: Backtest Start Date / End Date: Specify the period for testing the strategy’s performance. Heikin Ashi Timeframe: Select the timeframe for Heikin Ashi candle generation. A higher timeframe helps smooth the trend, which is beneficial for trading lower timeframes. Stop Loss (in %) and Take Profit (in %): Enable or disable stop loss and take profit, and adjust the levels based on market conditions. Trade Type: Choose between Buy Only or Sell Only based on your market outlook and strategy preference. Strategy Performance: In testing with BTC/USD, this strategy performed well in a 4-hour Heikin Ashi timeframe applied on a 1-hour chart over a period from January 1, 2024, to September 12, 2024. The results were as follows: Initial Capital: 1 USD Order Size: 100% of equity Net Profit: +30.74 USD (3,073.52% return) Percent Profitable: 78.28% of trades were winners. Profit Factor: 15.825, indicating that the strategy's profitable trades far outweighed its losses. Max Drawdown: 4.21%, showing low risk exposure relative to the large profit potential. This strategy is ideal for both beginner and advanced traders who are looking to follow trends and avoid market noise by using Heikin Ashi candles. It is also well-suited for traders who prefer automated risk management through the use of stop loss and take profit levels. Recommended Use: Best Markets: This strategy works well on trending markets like cryptocurrency, Forex, or indices. Timeframes: Works best when applied to lower timeframes (e.g., 1-hour chart) with a higher Heikin Ashi timeframe (e.g., 4-hour candles) to smooth out price action. Leverage: The strategy performs well with leverage, but users should consider using 2x to 3x leverage to avoid excessive risk and potential liquidation. The strategy's low drawdown allows for moderate leverage use while maintaining risk control. Customization: Traders can adjust the stop loss and take profit percentages based on their risk appetite and market conditions. A default setting of a 2% stop loss and 4% take profit provides a balanced risk/reward ratio. Notes: Risk Management: Traders should enable stop loss and take profit settings to maintain effective risk management and prevent large drawdowns during volatile market conditions. Optimization: This strategy can be further optimized by adjusting the Heikin Ashi timeframe and risk parameters based on specific market conditions and assets. Backtesting: The built-in backtesting functionality allows traders to test the strategy across different market conditions and historical data to ensure robustness before applying it to live trading. How to Apply: Select your preferred market and chart. Choose the appropriate Heikin Ashi timeframe based on the chart's timeframe. (e.g., use 4-hour Heikin Ashi candles for 1-hour chart trends). Adjust stop loss and take profit based on your risk management preference. Run backtesting to evaluate its performance before applying it in live trading. This strategy can be further modified and optimized based on personal trading style and market conditions. It’s important to monitor performance regularly and adjust settings as needed to align with market behavior.
Pine Script®策略
由markontie提供
8
ChartArt-Bankniftybuying5minName: ChartArt-BankNifty Buying Strategy (5-Minute) Timeframe: 5-Minute Candles Asset: BankNifty (Indian Stock Market Index) Trading Hours: 9:30 AM - 2:45 PM IST (Indian Standard Time) This strategy is designed for BankNifty intraday traders who want to capitalize on short-term price movements within a defined trading window. It combines technical indicators like Simple Moving Averages (SMA), Relative Strength Index (RSI), and candlestick patterns to identify potential buy signals during intraday downtrends. The strategy employs specific entry, stop-loss, and target conditions to manage trades effectively and minimize risk. Technical Indicators Used Simple Moving Averages (SMA): EMA7: 7-period SMA on closing price. EMA5: 5-period SMA on closing price. Purpose: Used to identify the intraday trend by comparing short-term moving averages. The strategy focuses on situations where the market is in a minor downtrend, indicated by EMA5 being below EMA7. Relative Strength Index (RSI): RSI14: 14-period RSI, a momentum oscillator that measures the speed and change of price movements. SMA14: 14-period SMA of the RSI. Purpose: RSI is used to identify potential reversal points. The strategy looks for situations where the RSI is below its own moving average, suggesting weakening momentum in the downtrend. Candlestick Patterns: Relaxed Hammer or Doji (2nd Candle): A pattern where the second candle in a 3-candle sequence shows a potential reversal signal (Hammer or Doji), indicating indecision or a potential turning point. Bearish 1st Candle: The first candle is bearish, setting up the context for a potential reversal. Bullish 3rd Candle: The third candle must be bullish with specific characteristics (closing near the high, surpassing the previous high), confirming the reversal. Strategy Conditions Time Condition: The strategy is only active during specific hours (9:30 AM to 2:45 PM IST). This ensures that trades are only taken during the most liquid hours of the trading day, avoiding potential volatility or lack of liquidity towards market close. Intraday Downtrend Condition: EMA5 < EMA7: Indicates that the market is in a minor downtrend. The strategy looks for reversal opportunities within this trend. RSI Condition: RSI14 <= SMA14: Indicates that the current RSI value is below its 14-period SMA, suggesting potential weakening momentum, which can precede a reversal. Candlestick Patterns: 1st Candle: Must be bearish, setting up the context for a potential reversal. 2nd Candle: Must either be a Hammer or Doji, indicating a potential reversal pattern. 3rd Candle: Must be bullish, with specific characteristics (closing near the high, breaking the previous high, etc.), confirming the reversal. RSI Crossover Condition: A crossover of the RSI over its SMA in the last 5 periods is also checked, adding further confirmation to the reversal signal. Entry and Exit Rules Entry Signal: A buy signal is generated when all the conditions (time, intraday downtrend, bearish 1st candle, hammer/doji 2nd candle, bullish 3rd candle, and RSI condition) are met. The trade is entered at the high of the bullish third candle. Stop Loss: The stop loss is calculated based on the difference between the entry price and the low of the second candle. If this difference is greater than 90 points, the stop loss is placed at the midpoint of the second candle's range (average of high and low). Otherwise, it is placed at the low of the second candle. Target 1: The first target is set at 1.8 times the difference between the entry price and the stop loss. When this target is hit, half of the position is exited to lock in partial profits. Target 2: The second target is set at 3 times the difference between the entry price and the stop loss. The remaining position is exited at this point, or if the price hits the stop loss. Originality and Usefulness This strategy is original in its combination of multiple technical indicators and candlestick patterns to identify potential reversals in a specific intraday timeframe. By focusing on minor downtrends and utilizing a 3-candle reversal pattern, the strategy seeks to capture quick price movements with a structured approach to risk management. Key Benefits: High Precision: The strategy’s multi-step filtering process (time condition, trend confirmation, candlestick pattern analysis, and momentum evaluation via RSI) increases the likelihood of accurate trade signals. Risk Management: The use of a dynamic stop-loss based on candle characteristics, combined with partial profit-taking, allows traders to lock in profits while still giving the trade room to develop further. Structured Approach: The strategy provides a clear, rule-based system for entering and exiting trades, which can help remove emotional decision-making from the trading process. Charts and Signals The strategy produces signals in the form of labels on the chart: Buy Signal: A green label is plotted below the candle that meets all entry conditions, indicating a potential buy opportunity. Stop Loss (SL): A red dashed line is drawn at the stop-loss level with a label indicating "SL". Target 1 (1st TG): A blue dashed line is drawn at the first target level with a label indicating "1st TG". Target 2 (2nd TG): Another blue dashed line is drawn at the second target level with a label indicating "2nd TG". These visual aids help traders quickly identify entry points, stop loss levels, and target levels on the chart, making the strategy easy to follow and implement. Backtesting and Optimization Backtesting: The strategy can be backtested on TradingView using historical data to evaluate its performance. Traders should consider testing across different market conditions to ensure the strategy's robustness. Optimization: Parameters such as the RSI period, moving averages, and target multipliers can be optimized based on backtesting results to refine the strategy further. Conclusion The ChartArt-BankNifty Buying Strategy offers a well-rounded approach to intraday trading, focusing on capturing reversals in minor downtrends. With a strong emphasis on technical analysis, precise entry and exit rules, and robust risk management, this strategy provides a solid framework for traders looking to engage in intraday trading on BankNifty.
Pine Script®指標
由CA-ChartArt提供
Non-Repainting Renko Emulation Strategy [PineIndicators]Introduction: The Repainting Problem in Renko Strategies Renko charts are widely used in technical analysis for their ability to filter out market noise and emphasize price trends. Unlike traditional candlestick charts, which are based on fixed time intervals, Renko charts construct bricks only when price moves by a predefined amount. This makes them useful for trend identification while reducing small fluctuations. However, Renko-based trading strategies often fail in live trading due to a fundamental issue: repainting . Why Do Renko Strategies Repaint? Most trading platforms, including TradingView, generate Renko charts retrospectively based on historical price data. This leads to the following issues: Renko bricks can change or disappear when new data arrives. Backtesting results do not reflect real market conditions. Strategies may appear highly profitable in backtests because historical data is recalculated with hindsight. Live trading produces different results than backtesting. Traders cannot know in advance whether a new Renko brick will form until price moves far enough. Objective of the Renko Emulator This script simulates Renko behavior on a standard time-based chart without repainting. Instead of using TradingView’s built-in Renko charting, which recalculates past bricks, this approach ensures that once a Renko brick is formed, it remains unchanged . Key benefits: No past bricks are recalculated or removed. Trading strategies can execute reliably without false signals. Renko-based logic can be applied on a time-based chart. How the Renko Emulator Works 1. Parameter Configuration & Initialization The script defines key user inputs and variables: brickSize : Defines the Renko brick size in price points, adjustable by the user. renkoPrice : Stores the closing price of the last completed Renko brick. prevRenkoPrice : Stores the price level of the previous Renko brick. brickDir : Tracks the direction of Renko bricks (1 = up, -1 = down). newBrick : A boolean flag that indicates whether a new Renko brick has been formed. brickStart : Stores the bar index at which the current Renko brick started. 2. Identifying Renko Brick Formation Without Repainting To ensure that the strategy does not repaint, Renko calculations are performed only on confirmed bars. The script calculates the difference between the current price and the last Renko brick level. If the absolute price difference meets or exceeds the brick size, a new Renko brick is formed. The new Renko price level is updated based on the number of bricks that would fit within the price movement. The direction (brickDir) is updated , and a flag ( newBrick ) is set to indicate that a new brick has been formed. 3. Visualizing Renko Bricks on a Time-Based Chart Since TradingView does not support live Renko charts without repainting, the script uses graphical elements to draw Renko-style bricks on a standard chart. Each time a new Renko brick forms, a colored rectangle (box) is drawn: Green boxes → Represent bullish Renko bricks. Red boxes → Represent bearish Renko bricks. This allows traders to see Renko-like formations on a time-based chart, while ensuring that past bricks do not change. Trading Strategy Implementation Since the Renko emulator provides a stable price structure, it is possible to apply a consistent trading strategy that would otherwise fail on a traditional Renko chart. 1. Entry Conditions A long trade is entered when: The previous Renko brick was bearish . The new Renko brick confirms an upward trend . There is no existing long position . A short trade is entered when: The previous Renko brick was bullish . The new Renko brick confirms a downward trend . There is no existing short position . 2. Exit Conditions Trades are closed when a trend reversal is detected: Long trades are closed when a new bearish brick forms. Short trades are closed when a new bullish brick forms. Key Characteristics of This Approach 1. No Historical Recalculation Once a Renko brick forms, it remains fixed and does not change. Past price action does not shift based on future data. 2. Trading Strategies Operate Consistently Since the Renko structure is stable, strategies can execute without unexpected changes in signals. Live trading results align more closely with backtesting performance. 3. Allows Renko Analysis Without Switching Chart Types Traders can apply Renko logic without leaving a standard time-based chart. This enables integration with indicators that normally cannot be used on traditional Renko charts. Considerations When Using This Strategy Trade execution may be delayed compared to standard Renko charts. Since new bricks are only confirmed on closed bars, entries may occur slightly later. Brick size selection is important. A smaller brickSize results in more frequent trades, while a larger brickSize reduces signals. Conclusion This Renko Emulation Strategy provides a method for using Renko-based trading strategies on a time-based chart without repainting. By ensuring that bricks do not change once formed, it allows traders to use stable Renko logic while avoiding the issues associated with traditional Renko charts. This approach enables accurate backtesting and reliable live execution, making it suitable for trend-following and swing trading strategies that rely on Renko price action.
Pine Script®策略
由PineIndicators提供
9
MACD Aggressive Scalp SimpleComment on the Script Purpose and Structure: The script is a scalping strategy based on the MACD indicator combined with EMA (50) as a trend filter. It uses the MACD histogram's crossover/crossunder of zero to trigger entries and exits, allowing the trader to capitalize on short-term momentum shifts. The use of strategy.close ensures that positions are closed when specified conditions are met, although adjustments were made to align with Pine Script version 6. Strengths: Simplicity and Clarity: The logic is straightforward and focuses on essential scalping principles (momentum-based entries and exits). Visual Indicators: The plotted MACD line, signal line, and histogram columns provide clear visual feedback for the strategy's operation. Trend Confirmation: Incorporating the EMA(50) as a trend filter helps avoid trades that go against the prevailing trend, reducing the likelihood of false signals. Dynamic Exit Conditions: The conditional logic for closing positions based on weakening momentum (via MACD histogram change) is a good way to protect profits or minimize losses. Potential Improvements: Parameter Inputs: Make the MACD (12, 26, 9) and EMA(50) values adjustable by the user through input statements for better customization during backtesting. Example: pine Copy code macdFast = input(12, title="MACD Fast Length") macdSlow = input(26, title="MACD Slow Length") macdSignal = input(9, title="MACD Signal Line Length") emaLength = input(50, title="EMA Length") Stop Loss and Take Profit: The strategy currently lacks explicit stop-loss or take-profit levels, which are critical in a scalping strategy to manage risk and lock in profits. ATR-based or fixed-percentage exits could be added for better control. Position Size and Risk Management: While the script uses 50% of equity per trade, additional options (e.g., fixed position sizes or risk-adjusted sizes) would be beneficial for flexibility. Avoid Overlapping Signals: Add logic to prevent overlapping signals (e.g., opening a new position immediately after closing one on the same bar). Backtesting Optimization: Consider adding labels or markers (label.new or plotshape) to visualize entry and exit points on the chart for better debugging and analysis. The inclusion of performance metrics like max drawdown, Sharpe ratio, or profit factor would help assess the strategy's robustness during backtesting. Compatibility with Live Trading: The strategy could be further enhanced with alert conditions using alertcondition to notify the trader of buy/sell signals in real-time.
Pine Script®策略
由dreamfalling0提供
KillZones + ACD Fisher [TradingFinder] Sessions + Reversal Level🔵 Introduction 🟣 ACD Method "The Logical Trader" opens with a thorough exploration of the ACD Methodology, which focuses on pinpointing particular price levels associated with the opening range. This approach enables traders to establish reference points for their trades, using "A" and "C" points as entry markers. Additionally, the book covers the concept of the "Pivot Range" and how integrating it with the ACD method can help maximize position size while minimizing risk. 🟣 Session The forex market is operational 24 hours a day, five days a week, closing only on Saturdays and Sundays. Typically, traders prefer to concentrate on one specific forex trading session rather than attempting to trade around the clock. Trading sessions are defined time periods when a particular financial market is active, allowing for the execution of trades. The most crucial trading sessions within the 24-hour cycle are the Asia, London, and New York sessions, as these are when substantial money flows and liquidity enter the market. 🟣 Kill Zone Traders in financial markets earn profits by capitalizing on the difference between their buy/sell prices and the prevailing market prices. Traders vary in their trading timelines.Some traders engage in daily or even hourly trading, necessitating activity during periods with optimal trading volumes and notable price movements. Kill zones refer to parts of a session characterized by higher trading volumes and increased price volatility compared to the rest of the session. 🔵 How to Use 🟣 Session Times The "Asia Session" comprises two parts: "Sydney" and "Tokyo." This session begins at 23:00 and ends at 06:00 UTC. The "Asia KillZone" starts at 23:00 and ends at 03:55 UTC. The "London Session" includes "Frankfurt" and "London," starting at 07:00 and ending at 14:25 UTC. The "London KillZone" runs from 07:00 to 09:55 UTC. The "New York" session starts at 14:30 and ends at 19:25 UTC, with the "New York am KillZone" beginning at 14:30 and ending at 22:55 UTC. 🟣 ACD Methodology The ACD strategy is versatile, applicable to various markets such as stocks, commodities, and forex, providing clear buy and sell signals to set price targets and stop losses. This strategy operates on the premise that the opening range of trades holds statistical significance daily, suggesting that initial market movements impact the market's behavior throughout the day. Known as a breakout strategy, the ACD method thrives in volatile or strongly trending markets like crude oil and stocks. Some key rules for employing the ACD strategy include : Utilize points A and C as critical reference points, continually monitoring these during trades as they act as entry and exit markers. Analyze daily and multi-day pivot ranges to understand market trends. Prices above the pivots indicate an upward trend, while prices below signal a downward trend. In forex trading, the ACD strategy can be implemented using the ACD indicator, a technical tool that gauges the market's supply and demand balance. By evaluating trading volume and price, this indicator assists traders in identifying trend strength and optimal entry and exit points. To effectively use the ACD indicator, consider the following : Identifying robust trends: The ACD indicator can help pinpoint strong, consistent market trends. Determining entry and exit points: ACD generates buy and sell signals to optimize trade timing. Bullish Setup : When the "A up" line is breached, it’s wise to wait briefly to confirm it’s not a "Fake Breakout" and that the price stabilizes above this line. Upon entering the trade, the most effective stop loss is positioned below the "A down" line. It's advisable to backtest this to ensure the best outcomes. The recommended reward-to-risk ratio for this strategy is 1, which should also be verified through backtesting. Bearish Setup : When the "A down" line is breached, it’s prudent to wait briefly to ensure it’s not a "Fake Breakout" and that the price stabilizes below this line. Upon entering the trade, the most effective stop loss is positioned above the "A up" line. Backtesting is recommended to confirm the best results. The recommended reward-to-risk ratio for this strategy is 1, which should also be validated through backtesting. Advantages of Combining Kill Zone and ACD Method in Market Analysis : Precise Trade Timing : Integrating the Kill Zone strategy with the ACD Method enhances precision in trade entries and exits. The ACD Method identifies key points for trading, while the Kill Zone focuses on high-activity periods, together ensuring optimal timing for trades. Better Trend Identification : The ACD Method’s pivot ranges help spot market trends, and when combined with the Kill Zone’s emphasis on periods of significant price movement, traders can more effectively identify and follow strong market trends. Maximized Profits and Minimized Risks : The ACD Method's structured approach to setting price targets and stop losses, coupled with the Kill Zone's high-volume trading periods, helps maximize profit potential while reducing risk. Robust Risk Management : Combining these methods provides a comprehensive risk management strategy, strategically placing stop losses and protecting capital during volatile periods. Versatility Across Markets : Both methods are applicable to various markets, including stocks, commodities, and forex, offering flexibility and adaptability in different trading environments. Enhanced Confidence : Using the combined insights of the Kill Zone and ACD Method, traders gain confidence in their decision-making process, reducing emotional trading and improving consistency. By merging the Kill Zone’s focus on trading volumes and the ACD Method’s structured breakout strategy, traders benefit from a synergistic approach that enhances precision, trend identification, and risk management across multiple markets.
Pine Script®指標
由TFlab提供
5
Smart Money Concepts [XoRonX]# Smart Money Concepts (SMC) - Advanced Trading Indicator ## 📊 Deskripsi **Smart Money Concepts ** adalah indicator trading komprehensif yang menggabungkan konsep Smart Money Trading dengan berbagai alat teknikal analisis modern. Indicator ini dirancang untuk membantu trader mengidentifikasi pergerakan institusional (smart money), struktur pasar, zona supply/demand, dan berbagai sinyal trading penting. Indicator ini mengintegrasikan multiple timeframe analysis, order blocks detection, fair value gaps, fibonacci retracement, volume profile, RSI multi-timeframe, dan moving averages dalam satu platform yang powerful dan mudah digunakan. --- ## 🎯 Fitur Utama ### 1. **Smart Money Structure** - **Internal Structure** - Struktur pasar jangka pendek untuk entry presisi - **Swing Structure** - Struktur pasar jangka panjang untuk trend analysis - **BOS (Break of Structure)** - Konfirmasi kelanjutan trend - **CHoCH (Change of Character)** - Deteksi potensi reversal ### 2. **Order Blocks** - **Internal Order Blocks** - Zona demand/supply jangka pendek - **Swing Order Blocks** - Zona demand/supply jangka panjang - Filter otomatis berdasarkan volatilitas (ATR/Range) - Mitigation tracking (High/Low atau Close) - Customizable display (jumlah order blocks yang ditampilkan) ### 3. **Equal Highs & Equal Lows (EQH/EQL)** - Deteksi otomatis equal highs/lows - Indikasi liquidity zones - Threshold adjustment untuk sensitivitas - Visual lines dan labels ### 4. **Fair Value Gaps (FVG)** - Multi-timeframe FVG detection - Auto threshold filtering - Bullish & Bearish FVG boxes - Extension control - Color customization ### 5. **Premium & Discount Zones** - Premium Zone (75-100% dari range) - Equilibrium Zone (47.5-52.5% dari range) - Discount Zone (0-25% dari range) - Auto-update berdasarkan swing high/low ### 6. **Fibonacci Retracement** - **Equilibrium to Discount** - Fib dari EQ ke discount zone - **Equilibrium to Premium** - Fib dari EQ ke premium zone - **Discount to Premium** - Fib full range - Reverse option - Show/hide lines - Custom colors ### 7. **Volume Profile (VRVP)** - Visible Range Volume Profile - Point of Control (POC) - Value Area (70% volume) - Auto-adjust rows - Placement options (Left/Right) - Width customization ### 8. **RSI Multi-Timeframe** - Monitor 3 timeframes sekaligus - Overbought/Oversold signals - Visual table display - Color-coded signals (Red OB, Green OS) - Customizable position & size ### 9. **Moving Averages** - 3 Moving Average lines - Pilihan tipe: EMA, SMA, WMA - Automatic/Manual period mode - Individual color & width settings - Cross alerts (MA vs MA, Price vs MA) ### 10. **Multi-Timeframe Levels** - Support up to 5 different timeframes - Previous high/low levels - Custom line styles - Color customization ### 11. **Candle Color** - Color candles berdasarkan trend - Bullish = Green, Bearish = Red - Optional toggle --- ## 🛠️ Cara Penggunaan ### **A. Setup Awal** 1. **Tambahkan Indicator ke Chart** - Buka TradingView - Klik "Indicators" → "My Scripts" atau paste code - Pilih "Smart Money Concepts " 2. **Pilih Mode Display** - **Historical**: Tampilkan semua struktur (untuk backtesting) - **Present**: Hanya tampilkan struktur terbaru (clean chart) 3. **Pilih Style** - **Colored**: Warna berbeda untuk bullish/bearish - **Monochrome**: Tema warna abu-abu --- ### **B. Penggunaan Fitur** #### **1. Smart Money Structure** **Internal Structure (Real-time):** - ✅ Aktifkan "Show Internal Structure" - Pilih tampilan: All, BOS only, atau CHoCH only - Gunakan untuk entry timing presisi - Filter confluence untuk mengurangi noise **Swing Structure:** - ✅ Aktifkan "Show Swing Structure" - Pilih tampilan struktur bullish/bearish - Adjust "Swings Length" (default: 50) - Gunakan untuk konfirmasi trend utama **Tips:** - BOS = Konfirmasi trend continuation - CHoCH = Warning untuk possible reversal - Tunggu price retest ke order block setelah BOS --- #### **2. Order Blocks** **Setup:** - ✅ Aktifkan Internal/Swing Order Blocks - Set jumlah blocks yang ditampil (1-20) - Pilih filter: ATR atau Cumulative Mean Range - Pilih mitigation: Close atau High/Low **Cara Trading:** 1. Tunggu BOS/CHoCH terbentuk 2. Identifikasi order block terdekat 3. Wait for price pullback ke order block 4. Entry saat price respek order block (rejection) 5. Stop loss di bawah/atas order block 6. Target: swing high/low berikutnya **Color Code:** - 🔵 Light Blue = Internal Bullish OB - 🔴 Light Red = Internal Bearish OB - 🔵 Dark Blue = Swing Bullish OB - 🔴 Dark Red = Swing Bearish OB --- #### **3. Equal Highs/Lows (EQH/EQL)** **Setup:** - ✅ Aktifkan "Equal High/Low" - Set "Bars Confirmation" (default: 3) - Adjust threshold (0-0.5, default: 0.1) **Interpretasi:** - EQH = Liquidity di atas, kemungkinan sweep lalu dump - EQL = Liquidity di bawah, kemungkinan sweep lalu pump - Biasanya smart money akan grab liquidity sebelum move besar **Trading Strategy:** - Wait for EQH/EQL formation - Anticipate liquidity grab - Entry setelah sweep dengan konfirmasi (order block, FVG, CHoCH) --- #### **4. Fair Value Gaps (FVG)** **Setup:** - ✅ Aktifkan "Fair Value Gaps" - Pilih timeframe (default: chart timeframe) - Enable/disable auto threshold - Set extension bars **Cara Trading:** 1. Bullish FVG = Support zone untuk buy 2. Bearish FVG = Resistance zone untuk sell 3. Price tends to fill FVG (retest) 4. Entry saat price kembali ke FVG 5. Partial fill = valid, full fill = invalidated **Tips:** - FVG + Order Block = High probability setup - Multi-timeframe FVG lebih kuat - Unfilled FVG = strong momentum --- #### **5. Premium & Discount Zones** **Setup:** - ✅ Aktifkan "Premium/Discount Zones" - Zones akan auto-update berdasarkan swing high/low **Interpretasi:** - 🟢 **Discount Zone** = Area BUY (price murah) - ⚪ **Equilibrium** = Neutral (50%) - 🔴 **Premium Zone** = Area SELL (price mahal) **Trading Strategy:** - BUY dari discount zone - SELL dari premium zone - Avoid trading di equilibrium - Combine dengan structure confirmation --- #### **6. Fibonacci Retracement** **Setup:** - Pilih Fib yang ingin ditampilkan: - Equilibrium to Discount - Equilibrium to Premium - Discount to Premium - Toggle show lines - Enable reverse jika perlu - Custom colors **Key Levels:** - 0.236 = Shallow retracement - 0.382 = Common retracement - 0.5 = 50% golden level - 0.618 = Golden ratio (penting!) - 0.786 = Deep retracement **Cara Pakai:** - 0.618-0.786 = Ideal entry zone dalam trend - Combine dengan order blocks - Wait for confirmation candle --- #### **7. Volume Profile (VRVP)** **Setup:** - ✅ Aktifkan "Show Volume Profile" - Set jumlah rows (10-100) - Adjust width (5-50%) - Pilih placement (Left/Right) - Enable POC dan Value Area **Interpretasi:** - **POC (Point of Control)** = Harga dengan volume tertinggi = magnet - **Value Area** = 70% volume = fair price range - **Low Volume Nodes** = Weak support/resistance - **High Volume Nodes** = Strong support/resistance **Trading:** - POC acts as support/resistance - Price tends to return to POC - Breakout dari Value Area = momentum --- #### **8. RSI Multi-Timeframe** **Setup:** - ✅ Aktifkan "Show RSI Table" - Set 3 timeframes (default: chart, 5m, 15m) - Set RSI period (default: 14) - Set Overbought level (default: 70) - Set Oversold level (default: 30) - Pilih posisi & ukuran table **Interpretasi:** - 🟢 **OS (Oversold)** = RSI ≤ 30 = Kondisi jenuh jual - 🔴 **OB (Overbought)** = RSI ≥ 70 = Kondisi jenuh beli - **-** = Neutral zone **Trading Strategy:** 1. Multi-timeframe alignment = strong signal 2. OS + Bullish structure = BUY signal 3. OB + Bearish structure = SELL signal 4. Divergence RSI vs Price = reversal warning **Contoh:** - TF1: OS, TF2: OS, TF3: OS + Price di discount zone = STRONG BUY --- #### **9. Moving Averages** **Setup:** - Pilih MA Type: EMA, SMA, atau WMA (berlaku untuk ketiga MA) - Pilih Period Mode: Automatic atau Manual - Set period untuk MA 1, 2, 3 (default: 20, 50, 100) - Custom color & width per MA - ✅ Enable Cross Alerts **Interpretasi:** - **Golden Cross** = MA fast cross above MA slow = Bullish - **Death Cross** = MA fast cross below MA slow = Bearish - Price above all MAs = Strong uptrend - Price below all MAs = Strong downtrend **Trading Strategy:** 1. MA1 (20) = Short-term trend 2. MA2 (50) = Medium-term trend 3. MA3 (100) = Long-term trend **Entry Signals:** - Price bounce dari MA dalam trend = continuation - MA cross dengan konfirmasi structure = entry - Multiple MA confluence = strong support/resistance **Alerts Available:** - MA1 cross MA2/MA3 - MA2 cross MA3 - Price cross any MA --- #### **10. Multi-Timeframe Levels** **Setup:** - Enable HTF Level 1-5 - Set timeframes (contoh: 5m, 1H, 4H, D, W) - Pilih line style (solid/dashed/dotted) - Custom colors **Cara Pakai:** - Previous high/low dari HTF = strong S/R - Breakout HTF level = significant move - Multiple HTF levels confluence = major zone --- ### **C. Trading Setup Combination** #### **Setup 1: High Probability Buy (Bullish)** 1. ✅ Swing structure: Bullish BOS 2. ✅ Price di Discount Zone 3. ✅ Pullback ke Bullish Order Block 4. ✅ Bullish FVG di bawah 5. ✅ RSI Multi-TF: Oversold 6. ✅ Price bounce dari MA 7. ✅ POC/Value Area support 8. ✅ Fibonacci 0.618-0.786 retracement **Entry:** Saat price reject dari order block dengan confirmation candle **Stop Loss:** Below order block **Target:** Swing high atau premium zone --- #### **Setup 2: High Probability Sell (Bearish)** 1. ✅ Swing structure: Bearish BOS 2. ✅ Price di Premium Zone 3. ✅ Pullback ke Bearish Order Block 4. ✅ Bearish FVG di atas 5. ✅ RSI Multi-TF: Overbought 6. ✅ Price reject dari MA 7. ✅ POC/Value Area resistance 8. ✅ Fibonacci 0.618-0.786 retracement **Entry:** Saat price reject dari order block dengan confirmation candle **Stop Loss:** Above order block **Target:** Swing low atau discount zone --- #### **Setup 3: Liquidity Grab (EQH/EQL)** 1. ✅ Identifikasi EQH atau EQL 2. ✅ Wait for liquidity sweep 3. ✅ Konfirmasi dengan CHoCH 4. ✅ Order block terbentuk setelah sweep 5. ✅ Entry saat retest order block --- ### **D. Tips & Best Practices** **Risk Management:** - Selalu gunakan stop loss - Risk 1-2% per trade - Risk:Reward minimum 1:2 - Jangan over-leverage **Confluence adalah Kunci:** - Minimal 3-4 konfirmasi sebelum entry - Lebih banyak konfirmasi = higher probability - Quality over quantity **Timeframe Analysis:** - HTF (Higher Timeframe) = Trend direction - LTF (Lower Timeframe) = Entry timing - Align dengan HTF trend **Backtesting:** - Gunakan mode "Historical" - Test strategy di berbagai market condition - Record dan analyze hasil **Market Condition:** - Trending market = Follow BOS, use order blocks - Ranging market = Use premium/discount zones, EQH/EQL - High volatility = Wider stops, wait for clear structure **Avoid:** - Trading di equilibrium zone - Entry tanpa konfirmasi - Fighting the trend - Overleveraging - Emotional trading --- ## 📈 Recommended Settings ### **For Scalping (1m - 5m):** - Internal Structure: ON - Swing Structure: OFF - Order Blocks: Internal only - RSI Timeframes: 1m, 5m, 15m - MA Periods: 9, 21, 50 ### **For Day Trading (15m - 1H):** - Internal Structure: ON - Swing Structure: ON - Order Blocks: Both - RSI Timeframes: 15m, 1H, 4H - MA Periods: 20, 50, 100 ### **For Swing Trading (4H - D):** - Internal Structure: OFF - Swing Structure: ON - Order Blocks: Swing only - RSI Timeframes: 4H, D, W - MA Periods: 20, 50, 200 --- ## ⚠️ Disclaimer Indicator ini adalah alat bantu analisis teknikal. Tidak ada indicator yang 100% akurat. Selalu: - Lakukan analisa fundamental - Gunakan proper risk management - Praktik di demo account terlebih dahulu - Trading memiliki resiko, trade at your own risk --- ## 📝 Version Info **Version:** 5.0 **Platform:** TradingView Pine Script v5 **Author:** XoRonX **Max Labels:** 500 **Max Lines:** 500 **Max Boxes:** 500 --- ## 🔄 Updates & Support Untuk update, bug reports, atau pertanyaan: - Check documentation regularly - Test new features in replay mode - Backup your settings before updates --- ## 🎓 Learning Resources **Recommended Study:** 1. Smart Money Concepts (SMC) basics 2. Order blocks theory 3. Liquidity concepts 4. ICT (Inner Circle Trader) concepts 5. Volume profile analysis 6. Multi-timeframe analysis **Practice:** - Start with higher timeframes - Master one concept at a time - Keep a trading journal - Review your trades weekly --- **Happy Trading! 🚀📊** _Remember: The best indicator is your own analysis and discipline._
Pine Script®指標
由groupyproo提供
Match on Selectable Percentage Change + RangeIndicator Overview: Match on Selectable Percentage Change + Range is a powerful analytical tool designed for traders and analysts who want to identify historical price bars that match a specific percentage variation, and then evaluate how price evolved in the following days. It combines precision filtering with visual tabular feedback, making it ideal for pattern recognition, backtesting, and scenario analysis. What It Does This indicator scans historical bars to find instances where the percentage change between two consecutive closes matches a user-defined target (± a customizable tolerance). Once matches are found, it displays: The date of each match (most recent first) The actual variation searched The percentage change after 2, 10, 20, and 30 bars The min-max range (in %) over those same periods All results are shown in a dynamic table directly on the chart. Inputs & Controls Input Description Which variation do you want to analyze? (%) Set the target percentage change to look for (e.g. 2.5%) % deviation from the variation to be considered (%) Define the tolerance range around the target (e.g. ±0.5%) Bars to analyze (max 9999) Set how many past bars to scan Show match table Toggle to enable/disable the entire table Show percentage variations (2d, 10d, 20d, 30d) Toggle to show/hide post-match percentage changes Show min-max ranges (2d, 10d, 20d, 30d) Toggle to show/hide post-match high/low ranges Table Structure Each row in the table represents a historical match. Columns include: Date: When the match occurred Variation in: The actual % change that triggered the match 2d / 10d / 20d / 30d: % change after those days Min-Max 2d / 10d / 20d / 30d: Range of price movement after those days Color coding helps quickly identify bullish (green) vs bearish (red) outcomes. Use Cases Backtesting: See how similar past moves evolved over time Scenario modeling: Estimate potential outcomes after a known variation Pattern recognition: Spot recurring setups or volatility clusters Risk analysis: Understand post-variation drawdowns and upside potential Tips for Use Use tighter deviation (e.g. 0.3%) for precision, or wider (e.g. 1%) for broader pattern capture. Combine with other indicators to validate setups (e.g. volume, RSI, trend filters). Toggle off variation or range columns to focus only on the metrics you need.
Pine Script®指標
由FrancescoG65提供
[blackcat] L2 Trend LinearityOVERVIEW The L2 Trend Linearity indicator is a sophisticated market analysis tool designed to help traders identify and visualize market trend linearity by analyzing price action relative to dynamic support and resistance zones. This powerful Pine Script indicator utilizes the Arnaud Legoux Moving Average (ALMA) algorithm to calculate weighted price calculations and generate dynamic support/resistance zones that adapt to changing market conditions. By visualizing market zones through colored candles and histograms, the indicator provides clear visual cues about market momentum and potential trading opportunities. The script generates buy/sell signals based on zone crossovers, making it an invaluable tool for both technical analysis and automated trading strategies. Whether you're a day trader, swing trader, or algorithmic trader, this indicator can help you identify market regimes, support/resistance levels, and potential entry/exit points with greater precision. FEATURES Dynamic Support/Resistance Zones: Calculates dynamic support (bear market zone) and resistance (bull market zone) using weighted price calculations and ALMA smoothing Visual Market Representation: Color-coded candles and histograms provide immediate visual feedback about market conditions Smart Signal Generation: Automatic buy/sell signals generated from zone crossovers with clear visual indicators Customizable Parameters: Four different ALMA smoothing parameters for various timeframes and trading styles Multi-Timeframe Compatibility: Works across different timeframes from 1-minute to weekly charts Real-time Analysis: Provides instant feedback on market momentum and trend direction Clear Visual Cues: Green candles indicate bullish momentum, red candles indicate bearish momentum, and white candles indicate neutral conditions Histogram Visualization: Blue histogram shows bear market zone (below support), aqua histogram shows bull market zone (above resistance) Signal Labels: "B" labels mark buy signals (price crosses above resistance), "S" labels mark sell signals (price crosses below support) Overlay Functionality: Works as an overlay indicator without cluttering the chart with unnecessary elements Highly Customizable: All parameters can be adjusted to suit different trading strategies and market conditions HOW TO USE Add the Indicator to Your Chart Open TradingView and navigate to your desired trading instrument Click on "Indicators" in the top menu and select "New" Search for "L2 Trend Linearity" or paste the Pine Script code Click "Add to Chart" to apply the indicator Configure the Parameters ALMA Length Short: Set the short-term smoothing parameter (default: 3). Lower values provide more responsive signals but may generate more false signals ALMA Length Medium: Set the medium-term smoothing parameter (default: 5). This provides a balance between responsiveness and stability ALMA Length Long: Set the long-term smoothing parameter (default: 13). Higher values provide more stable signals but with less responsiveness ALMA Length Very Long: Set the very long-term smoothing parameter (default: 21). This provides the most stable support/resistance levels Understand the Visual Elements Green Candles: Indicate bullish momentum when price is above the bear market zone (support) Red Candles: Indicate bearish momentum when price is below the bull market zone (resistance) White Candles: Indicate neutral market conditions when price is between support and resistance zones Blue Histogram: Shows bear market zone when price is below support level Aqua Histogram: Shows bull market zone when price is above resistance level "B" Labels: Mark buy signals when price crosses above resistance "S" Labels: Mark sell signals when price crosses below support Identify Market Regimes Bullish Regime: Price consistently above resistance zone with green candles and aqua histogram Bearish Regime: Price consistently below support zone with red candles and blue histogram Neutral Regime: Price oscillating between support and resistance zones with white candles Generate Trading Signals Buy Signals: Look for price crossing above the bull market zone (resistance) with confirmation from green candles Sell Signals: Look for price crossing below the bear market zone (support) with confirmation from red candles Confirmation: Always wait for confirmation from candle color changes before entering trades Optimize for Different Timeframes Scalping: Use shorter ALMA lengths (3-5) for 1-5 minute charts Day Trading: Use medium ALMA lengths (5-13) for 15-60 minute charts Swing Trading: Use longer ALMA lengths (13-21) for 1-4 hour charts Position Trading: Use very long ALMA lengths (21+) for daily and weekly charts LIMITATIONS Whipsaw Markets: The indicator may generate false signals in choppy, sideways markets where price oscillates rapidly between support and resistance Lagging Nature: Like all moving average-based indicators, there is inherent lag in the calculations, which may result in delayed signals Not a Standalone Tool: This indicator should be used in conjunction with other technical analysis tools and risk management strategies Market Structure Dependency: Performance may vary depending on market structure and volatility conditions Parameter Sensitivity: Different markets may require different parameter settings for optimal performance No Volume Integration: The indicator does not incorporate volume data, which could provide additional confirmation signals Limited Backtesting: Pine Script limitations may restrict comprehensive backtesting capabilities Not Suitable for All Instruments: May perform differently on stocks, forex, crypto, and futures markets Requires Confirmation: Signals should always be confirmed with other indicators or price action analysis Not Predictive: The indicator identifies current market conditions but does not predict future price movements NOTES ALMA Algorithm: The indicator uses the Arnaud Legoux Moving Average (ALMA) algorithm, which is known for its excellent smoothing capabilities and reduced lag compared to traditional moving averages Weighted Price Calculations: The bear market zone uses (2low + close) / 3, while the bull market zone uses (high + 2close) / 3, providing more weight to recent price action Dynamic Zones: The support and resistance zones are dynamic and adapt to changing market conditions, making them more responsive than static levels Color Psychology: The color scheme follows traditional trading psychology - green for bullish, red for bearish, and white for neutral Signal Timing: The signals are generated on the close of each bar, ensuring they are based on complete price action Label Positioning: Buy signals appear below the bar (red "B" label), while sell signals appear above the bar (green "S" label) Multiple Timeframes: The indicator can be applied to multiple timeframes simultaneously for comprehensive analysis Risk Management: Always use proper risk management techniques when trading based on indicator signals Market Context: Consider the overall market context and trend direction when interpreting signals Confirmation: Look for confirmation from other indicators or price action patterns before entering trades Practice: Test the indicator on historical data before using it in live trading Customization: Feel free to experiment with different parameter combinations to find what works best for your trading style THANKS Special thanks to the TradingView community and the Pine Script developers for creating such a powerful and flexible platform for technical analysis. This indicator builds upon the foundation of the ALMA algorithm and various moving average techniques developed by technical analysis pioneers. The concept of dynamic support and resistance zones has been refined over decades of market analysis, and this script represents a modern implementation of these timeless principles. We acknowledge the contributions of all traders and developers who have contributed to the evolution of technical analysis and continue to push the boundaries of what's possible with algorithmic trading tools.
Pine Script®指標
由blackcat1402提供
Market Outlook Score (MOS)Overview The "Market Outlook Score (MOS)" is a custom technical indicator designed for TradingView, written in Pine Script version 6. It provides a quantitative assessment of market conditions by aggregating multiple factors, including trend strength across different timeframes, directional movement (via ADX), momentum (via RSI changes), volume dynamics, and volatility stability (via ATR). The MOS is calculated as a weighted score that ranges typically between -1 and +1 (though it can exceed these bounds in extreme conditions), where positive values suggest bullish (long) opportunities, negative values indicate bearish (short) setups, and values near zero imply neutral or indecisive markets. This indicator is particularly useful for traders seeking a holistic "outlook" score to gauge potential entry points or market bias. It overlays on a separate pane (non-overlay mode) and visualizes the score through horizontal threshold lines and dynamic labels showing the numeric MOS value along with a simple trading decision ("Long", "Short", or "Neutral"). The script avoids using the plot function for compatibility reasons (e.g., potential TradingView bugs) and instead relies on hline for static lines and label.new for per-bar annotations. Key features: Multi-Timeframe Analysis: Incorporates slope data from 5-minute, 15-minute, and 30-minute charts to capture short-term trends. Trend and Strength Integration: Uses ADX to weight trend bias, ensuring stronger signals in trending markets. Momentum and Volume: Includes RSI momentum impulses and volume deviations for added confirmation. Volatility Adjustment: Factors in ATR changes to assess market stability. Customizable Inputs: Allows users to tweak periods for lookback, ADX, and ATR. Decision Labels: Automatically classifies the MOS into actionable categories with visual labels. This indicator is best suited for intraday or swing trading on volatile assets like stocks, forex, or cryptocurrencies. It does not generate buy/sell signals directly but can be combined with other tools (e.g., moving averages or oscillators) for comprehensive strategies. Inputs The script provides three user-configurable inputs via TradingView's input panel: Lookback Period (lookback): Type: Integer Default: 20 Range: Minimum 10, Maximum 50 Purpose: Defines the number of bars used in slope calculations for trend analysis. A shorter lookback makes the indicator more sensitive to recent price action, while a longer one smooths out noise for longer-term trends. ADX Period (adxPeriod): Type: Integer Default: 14 Range: Minimum 5, Maximum 30 Purpose: Sets the smoothing period for the Average Directional Index (ADX) and its components (DI+ and DI-). Standard value is 14, but shorter periods increase responsiveness, and longer ones reduce false signals. ATR Period (atrPeriod): Type: Integer Default: 14 Range: Minimum 5, Maximum 30 Purpose: Determines the period for the Average True Range (ATR) calculation, which measures volatility. Adjust this to match your trading timeframe—shorter for scalping, longer for positional trading. These inputs allow customization without editing the code, making the indicator adaptable to different market conditions or user preferences. Core Calculations The MOS is computed through a series of steps, blending trend, momentum, volume, and volatility metrics. Here's a breakdown: Multi-Timeframe Slopes: The script fetches data from higher timeframes (5m, 15m, 30m) using request.security. Slope calculation: For each timeframe, it computes the linear regression slope of price over the lookback period using the formula: textslope = correlation(close, bar_index, lookback) * stdev(close, lookback) / stdev(bar_index, lookback) This measures the rate of price change, where positive slopes indicate uptrends and negative slopes indicate downtrends. Variables: slope5m, slope15m, slope30m. ATR (Average True Range): Calculated using ta.atr(atrPeriod). Represents average volatility over the specified period. Used later to derive volatility stability. ADX (Average Directional Index): A detailed, manual implementation (not using built-in ta.adx for customization): Computes upward movement (upMove = high - high ) and downward movement (downMove = low - low). Derives +DM (Plus Directional Movement) and -DM (Minus Directional Movement) by filtering non-relevant moves. Smooths true range (trur = ta.rma(ta.tr(true), adxPeriod)). Calculates +DI and -DI: plusDI = 100 * ta.rma(plusDM, adxPeriod) / trur, similarly for minusDI. DX: dx = 100 * abs(plusDI - minusDI) / max(plusDI + minusDI, 0.0001). ADX: adx = ta.rma(dx, adxPeriod). ADX values above 25 typically indicate strong trends; here, it's normalized (divided by 50) to influence the trend bias. Volume Delta (5m Timeframe): Fetches 5m volume: volume_5m = request.security(syminfo.tickerid, "5", volume, lookahead=barmerge.lookahead_on). Computes a 12-period SMA of volume: avgVolume = ta.sma(volume_5m, 12). Delta: (volume_5m - avgVolume) / avgVolume (or 0 if avgVolume is zero). This measures relative volume spikes, where positive deltas suggest increased interest (bullish) and negative suggest waning activity (bearish). MOS Components and Final Calculation: Trend Bias: Average of the three slopes, normalized by close price and scaled by 100, then weighted by ADX influence: (slope5m + slope15m + slope30m) / 3 / close * 100 * (adx / 50). Emphasizes trends in strong ADX conditions. Momentum Impulse: Change in 5m RSI(14) over 1 bar, divided by 50: ta.change(request.security(syminfo.tickerid, "5", ta.rsi(close, 14), lookahead=barmerge.lookahead_on), 1) / 50. Captures short-term momentum shifts. Volatility Clarity: 1 - ta.change(atr, 1) / max(atr, 0.0001). Measures ATR stability; values near 1 indicate low volatility changes (clearer trends), while lower values suggest erratic markets. MOS Formula: Weighted average: textmos = (0.35 * trendBias + 0.25 * momentumImpulse + 0.2 * volumeDelta + 0.2 * volatilityClarity) Weights prioritize trend (35%) and momentum (25%), with volume and volatility at 20% each. These can be adjusted in code for experimentation. Trading Decision: A variable mosDecision starts as "Neutral". If mos > 0.15, set to "Long". If mos < -0.15, set to "Short". Thresholds (0.15 and -0.15) are hardcoded but can be modified. Visualization and Outputs Threshold Lines (using hline): Long Threshold: Horizontal dashed green line at +0.15. Short Threshold: Horizontal dashed red line at -0.15. Neutral Line: Horizontal dashed gray line at 0. These provide visual reference points for MOS interpretation. Dynamic Labels (using label.new): Placed at each bar's index and MOS value. Text: Formatted MOS value (e.g., "0.2345") followed by a newline and the decision (e.g., "Long"). Style: Downward-pointing label with gray background and white text for readability. This replaces a traditional plot line, showing exact values and decisions per bar without cluttering the chart. The indicator appears in a separate pane below the main price chart, making it easy to monitor alongside price action. Usage Instructions Adding to TradingView: Copy the script into TradingView's Pine Script editor. Save and add to your chart via the "Indicators" menu. Select a symbol and timeframe (e.g., 1-minute for intraday). Interpretation: Long Signal: MOS > 0.15 – Consider bullish positions if supported by other indicators. Short Signal: MOS < -0.15 – Potential bearish setups. Neutral: Between -0.15 and 0.15 – Avoid trades or wait for confirmation. Watch for MOS crossings of thresholds for momentum shifts. Combine with price patterns, support/resistance, or volume for better accuracy. Limitations and Considerations: Lookahead Bias: Uses barmerge.lookahead_on for multi-timeframe data, which may introduce minor forward-looking bias in backtesting (use with caution). No Alerts Built-In: Add custom alerts via TradingView's alert system based on MOS conditions. Performance: Tested for compatibility; may require adjustments for illiquid assets or extreme volatility. Backtesting: Use TradingView's strategy tester to evaluate historical performance, but remember past results don't guarantee future outcomes. Customization: Edit weights in the MOS formula or thresholds to fit your strategy. This indicator distills complex market data into a single score, aiding decision-making while encouraging users to verify signals with additional analysis. If you need modifications, such as restoring plot functionality or adding features, provide details for further refinement.
Pine Script®指標
由gautamsubaash提供
Timeshifter Triple Timeframe Strategy w/ SessionsOverview The "Enhanced Timeshifter Triple Timeframe Strategy with Session Filtering" is a sophisticated trading strategy designed for the TradingView platform. It integrates multiple technical indicators across three different timeframes and allows traders to customize their trading Sessions. This strategy is ideal for traders who wish to leverage multi-timeframe analysis and session-based trading to enhance their trading decisions. Features Multi-Timeframe Analysis and direction: Higher Timeframe: Set to a daily timeframe by default, providing a broader view of market trends. Trading Timeframe: Automatically set to the current chart timeframe, ensuring alignment with the trader's primary analysis period. Lower Timeframe: Set to a 15-minute timeframe by default, offering a granular view for precise entry and exit points. Indicator Selection: RMI (Relative Momentum Index): Combines RSI and MFI to gauge market momentum. TWAP (Time Weighted Average Price): Provides an average price over a specified period, useful for identifying trends. TEMA (Triple Exponential Moving Average): Reduces lag and smooths price data for trend identification. DEMA (Double Exponential Moving Average): Similar to TEMA, it reduces lag and provides a smoother trend line. MA (Moving Average): A simple moving average for basic trend analysis. MFI (Money Flow Index): Measures the flow of money into and out of a security, useful for identifying overbought or oversold conditions. VWMA (Volume Weighted Moving Average): Incorporates volume data into the moving average calculation. PSAR (Parabolic SAR): Identifies potential reversals in price movement. Session Filtering: London Session: Trade during the London market hours (0800-1700 GMT+1). New York Session: Trade during the New York market hours (0800-1700 GMT-5). Tokyo Session: Trade during the Tokyo market hours (0900-1800 GMT+9). Users can select one or multiple sessions to align trading with specific market hours. Trade Direction: Long: Only long trades are permitted. Short: Only short trades are permitted. Both: Both long and short trades are permitted, providing flexibility based on market conditions. ADX Confirmation: ADX (Average Directional Index): An optional filter to confirm the strength of a trend before entering a trade. How to Use the Script Setup: Add the script to your TradingView chart. Customize the input parameters according to your trading preferences and strategy requirements. Indicator Selection: Choose the primary indicator you wish to use for generating trading signals from the dropdown menu. Enable or disable the ADX confirmation based on your preference for trend strength analysis. Session Filtering: Select the trading sessions you wish to trade in. You can choose one or multiple Sessions based on your trading strategy and market focus. Trade Direction: Set your preferred trade direction (Long, Short, or Both) to align with your market outlook and risk tolerance. You can use this feature to gauge the market and understand the possible directions. Tips for Profitable and Safe Trading: Recommended Timeframes Combination: LT: 1m , CT: 5m, HT: 1H LT: 1-5m , CT: 15m, HT: 4H LT: 5-15m , CT: 4H, HT: 1W Backtesting: Always backtest the strategy on historical data to understand its performance under various market conditions. Adjust the parameters based on backtesting results to optimize the strategy for your specific trading style. Risk Management: Use appropriate risk management techniques, such as setting stop-loss and take-profit levels, to protect your capital. Avoid over-leveraging and ensure that you are trading within your risk tolerance. Market Analysis: Combine the script with other forms of market analysis, such as fundamental analysis or market sentiment, to make well-rounded trading decisions. Stay informed about major economic events and news that could impact market volatility and trading sessions. Continuous Monitoring: Regularly monitor the strategy's performance and make adjustments as necessary. Keep an eye on the results and settings for real-time statistics and ensure that the strategy aligns with current market conditions. Education and Practice: Continuously educate yourself on trading strategies and market dynamics. Practice using the strategy in a demo account before applying it to live trading to gain confidence and understanding.
Pine Script®策略
由fenyesk提供
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities. Theoretical Foundation Momentum Factor Research The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)². The momentum calculation methodology follows the academic standard: Momentum(t) = / P(t-n) × 100 Where P(t) is the current price and n is the lookback period. The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator. Indicator Architecture Core Components 1. Data Collection and Processing The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods). 2. Composite Oscillator Calculation Following Fama-French factor construction methodology, the indicator offers two weighting schemes: - Equal Weight: Each active stock receives identical weighting (1/n) - Market Cap Weight: Reserved for future enhancement 3. Oscillator Transformation Functions The indicator provides five distinct oscillator types, each with established technical analysis foundations: a) Momentum Oscillator (Default) - Pure rate-of-change calculation - Centered around zero - Direct implementation of Jegadeesh & Titman methodology b) RSI (Relative Strength Index) - Wilder's (1978) relative strength methodology - Transformed to center around zero for consistency - Scale: -50 to +50 c) Stochastic Oscillator - George Lane's %K methodology - Measures current position within recent range - Transformed to center around zero d) Williams %R - Larry Williams' range-based oscillator - Inverse stochastic calculation - Adjusted for zero-centered display e) CCI (Commodity Channel Index) - Donald Lambert's mean reversion indicator - Measures deviation from moving average - Scaled for optimal visualization Operational Modes Mode 1: Magnificent 7 Analysis Tracks the collective momentum of the seven constituent stocks. This mode is optimal for: - Technology sector analysis - Growth stock momentum assessment - Large-cap performance tracking Mode 2: S&P 500 Equal Weight Comparison Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides: - Broader market momentum context - Size-neutral market analysis - Comparison baseline for relative performance Mode 3: Relative Performance Analysis Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables: - Sector rotation analysis - Style factor assessment (Growth vs. Value) - Relative strength identification Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum Signal Generation and Thresholds Signal Classification The indicator generates three signal states: - Bullish: Oscillator > Upper Threshold (default: +2.0%) - Bearish: Oscillator < Lower Threshold (default: -2.0%) - Neutral: Oscillator between thresholds Relative Performance Signals In relative performance mode, specialized thresholds apply: - Outperformance: Relative momentum > +1.0% - Underperformance: Relative momentum < -1.0% Alert System Comprehensive alert conditions include: - Threshold crossovers (bullish/bearish signals) - Zero-line crosses (momentum direction changes) - Relative performance shifts - Breadth Analysis Component The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into: - Strong Breadth (>60%): Broad-based momentum - Weak Breadth (<40%): Narrow momentum leadership - Mixed Breadth (40-60%): Neutral momentum distribution Visual Design and User Interface Theme-Adaptive Display The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences. Professional Data Table A comprehensive data table displays: - Current oscillator value and percentage - Active mode and oscillator type - Signal status and strength - Component breakdowns (in relative performance mode) - Breadth percentage - Active threshold levels Custom Color Options Users can override default colors with custom selections for: - Neutral conditions (default: Material Blue) - Bullish signals (default: Material Green) - Bearish signals (default: Material Red) Practical Applications Portfolio Management - Sector Allocation: Use relative performance mode to time technology sector exposure - Risk Management: Monitor breadth deterioration as early warning signal - Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions Market Analysis - Trend Identification: Zero-line crosses indicate momentum regime changes - Divergence Analysis: Compare MAG7 performance against broader market - Volatility Assessment: Oscillator range and frequency provide volatility insights Strategy Development - Factor Timing: Implement growth factor timing strategies - Momentum Strategies: Develop systematic momentum-based approaches - Risk Parity: Use breadth metrics for risk-adjusted portfolio construction Configuration Guidelines Parameter Selection - Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment - Smoothing Period (1-50): Higher values reduce noise but increase lag - Thresholds: Adjust based on historical volatility and strategy requirements Timeframe Considerations - Daily Charts: Optimal for swing trading and medium-term analysis - Weekly Charts: Suitable for long-term trend analysis - Intraday Charts: Useful for short-term tactical decisions Limitations and Considerations Market Concentration Risk The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions. Momentum Persistence While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years). Correlation Dynamics During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity. Performance Metrics and Backtesting The indicator includes hidden plots for comprehensive backtesting: - Individual stock momentum values - Composite breadth percentage - S&P 500 Equal Weight momentum - Relative performance calculations These metrics enable quantitative strategy development and historical performance analysis. References ¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91. Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Pine Script®指標
由EdgeTools提供
10
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter Overview: This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals. How It Works: 1. Signal Initiation (e.g., 5-Minute Timeframe): Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30). Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe. 2. Signal Confirmation (15-Minute Timeframe): Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars). Long Confirmation: The 15-minute Stochastic RSI %K must be greater than or equal to its %D line. The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40). Short Confirmation: The 15-minute Stochastic RSI %K must be less than or equal to its %D line. The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60). 3. Filters: ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold. Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading. 4. Entry and Exit Logic: Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met. Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script. Key User-Adjustable Parameters: Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing. Signal Trigger & Confirmation: 5-minute %K trigger levels for long and short. 15-minute %K confirmation thresholds for long and short. Wait window (in 5-minute bars) for 15-minute confirmation. Filters: Enable/disable and configure the Signal Cooldown filter (minimum bars between signals). Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks). Strategy Parameters: Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks). Recommendations for Users: Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade. Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions. Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals. Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable. Disclaimer: This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Pine Script®策略
由Archertoria提供
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system. ✅ When to Use This Strategy • Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W). • Best used on uptrending assets like Gold. • Designed for swing trading – holding trades from a few days to weeks. 📊 How It Works 1. Find the Trend We only want to trade in the direction of the trend. • The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend. • If the price is above the 200 EMA, we consider it an uptrend and allow long trades. 2. Identify Breakout Levels • The strategy detects recent high and low pivot points to draw Fibonacci extension levels. • It focuses on the 1.618 Fibonacci level, which is often a target in strong trends. • When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy. 3. Enter a Trade • The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA). 4. Manage Risk Automatically • The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops. • It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks. ⚠️ Important Notes • 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD). • 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
Pine Script®策略
由SupertradeOfficial提供
1h Liquidity Swings Strategy with 1:2 RRLuxAlgo Liquidity Swings (Simulated): Uses ta.pivothigh and ta.pivotlow to detect 1h swing highs (resistance) and swing lows (support). The lookback parameter (default 5) controls swing point sensitivity. Entry Logic: Long: Uptrend, price crosses above 1h swing low (ta.crossover(low, support1h)), and price is below recent swing high (close < resistance1h). Short: Downtrend, price crosses below 1h swing high (ta.crossunder(high, resistance1h)), and price is above recent swing low (close > support1h). Take Profit (1:2 Risk-Reward): Risk: Long: risk = entryPrice - initialStopLoss. Short: risk = initialStopLoss - entryPrice. Take-profit price: Long: takeProfitPrice = entryPrice + 2 * risk. Short: takeProfitPrice = entryPrice - 2 * risk. Set via strategy.exit’s limit parameter. Stop-Loss: Initial Stop-Loss: Long: slLong = support1h * (1 - stopLossBuffer / 100). Short: slShort = resistance1h * (1 + stopLossBuffer / 100). Breakout Stop-Loss: Long: close < support1h. Short: close > resistance1h. Managed via strategy.exit’s stop parameter. Visualization: Plots: 50-period SMA (trendMA, blue solid line). 1h resistance (resistance1h, red dashed line). 1h support (support1h, green dashed line). Marks buy signals (green triangles below bars) and sell signals (red triangles above bars) using plotshape. Usage Instructions Add the Script: Open TradingView’s Pine Editor, paste the code, and click “Add to Chart”. Set Timeframe: Use the 1-hour (1h) chart for intraday trading. Adjust Parameters: lookback: Swing high/low lookback period (default 5). Smaller values increase sensitivity; larger values reduce noise. stopLossBuffer: Initial stop-loss buffer (default 0.5%). maLength: Trend SMA period (default 50). Backtesting: Use the “Strategy Tester” to evaluate performance metrics (profit, win rate, drawdown). Optimize parameters for your target market. Notes on Limitations LuxAlgo Liquidity Swings: Simulated using ta.pivothigh and ta.pivotlow. LuxAlgo may include proprietary logic (e.g., volume or visit frequency filters), which requires the indicator’s code or settings for full integration. Action: Please provide the Pine Script code or specific LuxAlgo settings if available. Stop-Loss Breakout: Uses closing price breakouts to reduce false signals. For more sensitive detection (e.g., high/low-based), I can modify the code upon request. Market Suitability: Ideal for high-liquidity markets (e.g., BTC/USD, EUR/USD). Choppy markets may cause false breakouts. Action: Backtest in your target market to confirm suitability. Fees: Take-profit/stop-loss calculations exclude fees. Adjust for trading costs in live trading. Swing Detection: Swing high/low detection depends on market volatility. Optimize lookback for your market. Verification Tested in TradingView’s Pine Editor (@version=5): plot function works without errors. Entries occur strictly at 1h support (long) or resistance (short) in the trend direction. Take-profit triggers at 1:2 risk-reward. Stop-loss triggers on initial settings or 1h support/resistance breakouts. Backtesting performs as expected. Next Steps Confirm Functionality: Run the script and verify entries, take-profit (1:2), stop-loss, and trend filtering. If issues occur (e.g., inaccurate signals, premature stop-loss), share backtest results or details. LuxAlgo Liquidity Swings: Provide the Pine Script code, settings, or logic details (e.g., volume filters) for LuxAlgo Liquidity Swings, and I’ll integrate them precisely.
Pine Script®策略
由Shin_diamonds提供
[blackcat] L3 Projected Magic-9 SequenceOVERVIEW The L3 Projected Magic-9 Sequence indicator is a sophisticated tool designed to help traders identify potential trend reversals through a unique sequence of price movements. By calculating projected highs and lows based on previous bar conditions, this script provides valuable insights into possible future market directions. It plots these key levels on the chart and highlights specific sequential patterns that often precede significant reversals, offering traders a visual advantage in their decision-making process 📈💡. FEATURES Projections: Calculates and plots projected highs and lows based on intricate conditions derived from previous bars' open, close, high, and low prices. These projections serve as dynamic support and resistance levels, helping traders anticipate potential turning points in the market 📊. Sequential Patterns: Identifies various sequential patterns known as "Magic" sequences, such as Magic-9 and Magic-13. Labels these sequences directly on the chart for easy identification: 5, 6, 7, 8, 9, 12, 13 for both bullish and bearish trends. Provides additional labels when these sequences align with projected highs or lows, enhancing the reliability of the signal 🏷️. Differentiates between trend and sideways phases using the Magic-9 Project Range. Traditional sequences generating buy and sell signals of 9 and 13 during sideways swings are displayed indistinguishably from other numbers. However, the 9 and 13 generated by breakouts are highlighted with red and green labels for better visibility 🚦. Project Range Adjustment: The Project Range is automatically adjusted by Multiple Time Frame (MTF). A higher cycle is selected as the baseline of the Project Range based on the current operating cycle, ensuring adaptability to varying market conditions ⏳. Customization: Offers customizable colors for plotted lines and labels, allowing users to tailor the appearance to their preferences 🎨. Adjustable settings for lookback periods and other parameters to fine-tune the indicator according to individual trading styles. Automatic Timeframe Selection: Automatically selects the most suitable timeframe for data fetching, ensuring optimal performance across different chart intervals ⏳. Ensures compatibility with various trading strategies, whether short-term intraday or long-term positional trading. HOW TO USE Adding the Indicator: Open your TradingView platform and navigate to the chart where you want to apply the indicator. Click on the "Indicators" button at the top of the screen and search for L3 Projected Magic-9 Sequence. Select the indicator from the list and add it to your chart. Understanding Projections: Once added, observe the plotted projected highs and lows on your chart. These lines represent anticipated support and resistance levels based on complex calculations involving previous bar data. Identifying Sequential Patterns: Look for labels such as 5, 6, 7, 8, 9, 12, and 13 appearing on the chart. These labels signify specific sequential patterns that often precede market reversals. Pay special attention to labels that include arrows (e.g., 9▼, 13▲), indicating alignment with projected highs or lows. Note the differentiation between trend and sideways phases: During sideways swings, traditional sequences generating buy and sell signals of 9 and 13 are displayed indistinguishably from other numbers. Breakout-generated 9 and 13 are highlighted with red and green labels for clear identification. Combining with Other Tools: While the L3 Projected Magic-9 Sequence offers powerful insights, it is essential to combine its signals with other technical analysis tools. Use moving averages, volume indicators, or candlestick patterns to confirm the validity of the identified sequences before executing trades. LIMITATIONS Market Conditions: The indicator performs best in trending markets but may generate false signals during periods of consolidation or range-bound movement 🌐. Complexity: Due to its reliance on specific sequential patterns, some traders might find the concept challenging to grasp initially. Thorough testing and understanding are crucial before deploying it in live trading environments. Data Dependency: Accurate projections depend on having sufficient historical data. Insufficient data may lead to less reliable results. NOTES Backtesting: Before implementing the indicator in real-time trading, conduct extensive backtesting to evaluate its effectiveness under various market conditions. Risk Management: Always adhere to proper risk management principles, even when relying on robust indicators like this one. Set stop-loss orders and position sizes accordingly to protect your capital 🛡️. Continuous Learning: Stay updated with the latest developments and adjustments made to the indicator by following community discussions and official updates from the author.
Pine Script®指標
由blackcat1402提供
Auto Fib Retracement with Buy/SellKey Features of the Advanced Script: Multi-Timeframe (MTF) Analysis: We added an input for the higher timeframe (higher_tf), where the trend is checked on a higher timeframe to confirm the primary trend direction. Complex Trend Detection: The trend is determined not only by the current timeframe but also by the trend on the higher timeframe, giving a more comprehensive and reliable signal. Dynamic Fibonacci Levels: Fibonacci lines are plotted dynamically, extending them based on price movement, with the Fibonacci retracement drawn only when a trend is identified. Background Color & Labels: A background color is added to give a clear indication of the trend direction. Green for uptrend, red for downtrend. It makes it visually easier to understand the current market structure. "Buy" or "Sell" labels are shown directly on the chart to mark possible entry points. Strategy and Backtesting: The script includes strategy commands (strategy.entry and strategy.exit), which allow for backtesting the strategy in TradingView. Stop loss and take profit conditions are added (loss=100, profit=200), which can be adjusted according to your preferences. Next Steps: Test with different timeframes: Try changing the higher_tf to different timeframes (like "60" or "240") and see how it affects the trend detection. Adjust Fibonacci settings: Modify how the Fibonacci levels are calculated or add more Fibonacci levels like 38.2%, 61.8%, etc. Optimize Strategy Parameters: Fine-tune the entry/exit logic by adjusting stop loss, take profit, and other strategy parameters. This should give you a robust foundation for creating advanced trend detection strategies
Pine Script®指標
由Arif_Reza提供
Custom Buy and Sell Signal with Body Ratio and RSI Indicator Overview: Name: Custom Buy and Sell Signal with Body Ratio and RSI Description: This indicator is designed to detect buy and sell opportunities by analyzing the body size and wicks of candles in combination with the RSI indicator and volume. It helps identify trend reversals under high-volume market conditions, which enhances the reliability of the signals. Indicator Features: RSI (Relative Strength Index): The RSI indicator is used to assess oversold (RSI < 40) or overbought (RSI > 60) conditions. These zones signal potential reversals when combined with other technical signals. Candle Body Analysis: The indicator compares the size of the current and previous candles to validate signals. For a buy signal, the current candle must be bullish and have a body size proportional to that of the previous bearish candle. Similarly, for a sell signal, the current candle must be bearish with a body size comparable to the previous bullish candle. Wick Validation: The indicator analyzes the wick length to reinforce or exclude signals. For a buy signal, the lower wick of the bullish candle must be shorter than that of the previous bearish candle. For a sell signal, the upper wick of the bearish candle must be shorter than that of the previous bullish candle and smaller than 30% of the candle's body. High Volume: Signals are only generated when the volume exceeds a certain threshold, ensuring that signals are issued in active market conditions. The minimum volume should be adjusted based on the asset. For example, for gold, a minimum volume of 9000 is recommended. Trading Strategy: Buy Signals: A bearish (red) candle is followed by a bullish (green) candle with a body size that is comparable to the previous candle (0.9 to 3 times the body size). The lower wick of the bullish candle is shorter than that of the previous bearish candle, confirming the validity of the signal. The RSI must be below 40, indicating an oversold condition. The volume must exceed the defined threshold (e.g., > 9000 for gold) to confirm an active market. Sell Signals: A bullish (green) candle is followed by a bearish (red) candle with a comparable body size. The upper wick of the bearish candle must be shorter than that of the previous bullish candle and must not exceed 30% of the body size. The RSI must be above 60, indicating an overbought condition. The volume must also exceed the minimum threshold for a valid signal. Usage Guidelines: Volume Adjustment: It is crucial to adjust the volume threshold depending on the asset you're trading. For example, for assets like gold, a minimum volume of 9000 is recommended to filter out weak signals. Each asset has a different volume dynamic, so test different thresholds on historical data to find the optimal setting. Time Frame: It is recommended to use this indicator on a 1-hour (1H) chart for the best signal relevance. This time frame provides a good balance between reactivity and filtering false signals. Confluence: Combine the signals from this indicator with other tools like support and resistance levels, moving averages, or chart patterns to increase your chances of success. Confluence of indicators improves the reliability of signals. Risk Management: Implement strict risk management. Use stop-losses based on volatility, such as ATR (Average True Range), or the wick size to determine exit points. Backtesting: Before using it live, conduct backtesting on various assets to fine-tune the parameters, especially the volume threshold, and to verify performance across different market conditions. This indicator is an excellent tool for traders looking to identify trend reversals based on solid technical criteria such as RSI, candle structure, and volume. It is particularly effective on volatile assets with precise volume adjustment.
Pine Script®指標
由imane-academy提供
Multi-Moving Average Buy/Sell IndicatorThis Multi-Moving Average Buy/Sell Indicator is a powerful and customizable tool designed to help traders identify potential buy and sell signals based on the interaction between price and multiple moving averages. Whether you're a day trader, swing trader, or long-term investor, this indicator provides clear visual cues and alerts to help you make informed trading decisions. Key Features 1. Multiple Moving Averages The indicator calculates four key moving averages: 9-period MA 20-period MA 50-period MA 180-period MA You can choose the type of moving average: SMA (Simple Moving Average) EMA (Exponential Moving Average) WMA (Weighted Moving Average) 2. Custom Timeframe Select a custom timeframe from a user-friendly dropdown menu: 1 Minute 5 Minutes 15 Minutes 30 Minutes 1 Hour 4 Hours Daily Weekly The indicator dynamically adjusts to the selected timeframe, making it suitable for all trading styles. 3. Buy/Sell Signals Buy Signal: Triggered when the price crosses above any of the moving averages. Sell Signal: Triggered when the price crosses below any of the moving averages. Signals are displayed as labels on the chart: Green "BUY" Label: Below the bar when a buy signal is triggered. Red "SELL" Label: Above the bar when a sell signal is triggered. 4. Visualization Toggle the visibility of all moving averages using the showAllMAs input. Moving averages are plotted with distinct colors for easy identification: 9 MA: Blue 20 MA: Orange 50 MA: Purple 180 MA: Teal 5. Alerts The indicator generates alerts for buy and sell signals, which can be used for notifications or automated trading. How to Use Add the Indicator: Open TradingView and go to the Pine Script Editor. Copy and paste the script into the editor. Click Add to Chart. Configure Inputs: maType: Choose the type of moving average (SMA, EMA, WMA). timeframe: Select a custom timeframe (e.g., "1 Minute", "Daily"). showSignals: Toggle to show or hide buy/sell signals. showAllMAs: Toggle to show or hide all moving averages. Interpret the Signals: Look for green "BUY" labels below the bars for potential buy opportunities. Look for red "SELL" labels above the bars for potential sell opportunities. Set Alerts: Use the built-in alert system to get notified when buy or sell signals are triggered. Example Use Cases Day Trading Use a 1-minute or 5-minute timeframe with an EMA for quick signals. Example Inputs: maType = "EMA" timeframe = "5 Minutes" showAllMAs = true Swing Trading Use a daily timeframe with an SMA for longer-term signals. Example Inputs: maType = "SMA" timeframe = "Daily" showAllMAs = false Why Use This Indicator? Versatility: Suitable for all trading styles and timeframes. Customization: Choose your preferred moving average type and timeframe. Clear Signals: Easy-to-read buy/sell labels and moving averages. Alerts: Never miss a trading opportunity with built-in alerts. Limitations False Signals: The indicator may generate false signals in choppy or sideways markets. Always combine it with other tools (e.g., RSI, volume analysis) for better accuracy. Timeframe Dependency: The effectiveness of the signals depends on the selected timeframe. Shorter timeframes may produce more signals but with higher noise. No Backtesting: The script does not include backtesting functionality. Test the strategy manually on historical data. Customization Options Add More Moving Averages: Modify the script to include additional moving averages (e.g., 200 MA). Change Signal Logic: Adjust the conditions for buy/sell signals (e.g., require confirmation from multiple moving averages). Add Alerts for Specific MAs: Create separate alerts for signals based on specific moving averages (e.g., only 9 MA or 50 MA).
Pine Script®指標
由bencosmeliranzo提供