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SMA – RGB Wave RiderThe SMA Wave Rider is like catching a clean set rolling in — instead of just a flat white line, your SMA12 lights up with a color gradient that shows whether the trend is mellow or pumping. It measures the slope of the SMA, normalizes it for whatever timeframe you’re surfing, then runs it through a contrast curve so the steeper the wave, the hotter the color. Pick your palette — Miami neon, Sunrise vibes, Pumpkin Spice autumn glow — and watch the line shift as the market gains or loses momentum. It’s trend strength painted right on the rail, so you can ride the flow instead of just guessing where the current’s pulling you. 🏄‍♂️🌊
Pine Script®指標
由blockhead_0x提供
Supertrend Long/Short with Adjustable R:R by JJThis script is a Supertrend-based trading tool with: Long/Short trade signals Risk/reward calculation Position sizing based on risk, capital, and max shares Visual labels for entries, targets, and stops Checkmarks (✔) for successful trades and crosses (❌) for stopped trades Alerts for trade entries It’s designed for visual analysis on charts, helping you see trades, their targets, and whether they hit profit or stop-loss.
Pine Script®指標
由JohnTJohnson71提供
Beta -> PROFABIGHI_CAPITAL🌟 Overview The Beta → PROFABIGHI_CAPITAL indicator calculates the systematic risk measurement of any asset relative to a chosen benchmark using statistical correlation analysis and variance decomposition methodology . It combines return calculation, covariance analysis, and variance measurement across (Asset Returns, Benchmark Returns, Correlation Analysis) with rolling window calculations. The indicator features automated beta coefficient calculation , zero-division protection , and benchmark comparison analysis for enhanced systematic risk assessment and market correlation identification. ⚙️ General Settings – Lookback Period : Number of bars for calculating rolling statistics and correlations (1-500 bars, default: 30). – Benchmark Symbol : Reference market index for beta calculation (default: CRYPTO:BTCUSD). – Overlay Setting : False - displays as separate pane oscillator for clear beta visualization. 📊 Beta Calculation Components & Methods The indicator calculates systematic risk metrics using advanced statistical methods: - Asset Returns : Rate of change calculation for current asset percentage movements per bar - Benchmark Returns : Rate of change calculation for benchmark percentage movements per bar - Mean Asset Returns : Simple moving average of asset returns over lookback period - Mean Benchmark Returns : Simple moving average of benchmark returns over lookback period - Covariance Calculation : Manual computation measuring how asset and benchmark move together - Benchmark Variance : Manual calculation of benchmark return volatility and dispersion - Beta Coefficient : Systematic risk measure derived from covariance divided by benchmark variance 📈 Advanced Statistical Features Correlation Analysis Framework: - Return Decomposition : Separation of asset returns into systematic and unsystematic components - Market Sensitivity : Measurement of asset responsiveness to benchmark movements - Risk Attribution : Identification of market-related versus asset-specific risk factors Rolling Window Analysis: - Dynamic Lookback : Continuously updated statistics over specified period for current relevance - Adaptive Calculation : Real-time recalculation with each new bar for evolving correlation analysis - Statistical Smoothing : Moving average application for return volatility reduction Mathematical Protection: - Zero-Division Safety : Built-in protection preventing calculation errors when benchmark variance equals zero - Error Handling : Returns appropriate values when statistical calculations become undefined - Robust Framework : Maintains functionality across all market conditions and correlation scenarios 📏 Signal Levels & Interpretation – Beta = 1 (Gray Dash) : Asset moves in perfect correlation with benchmark (same volatility) – Beta > 1 (Above Line) : Asset exhibits higher volatility than benchmark (amplified movements) – Beta < 1 (Below Line) : Asset exhibits lower volatility than benchmark (dampened movements) – Beta = 0 (Zero Line) : No correlation between asset and benchmark movements – Negative Beta : Inverse correlation - asset moves opposite to benchmark direction 📋 Beta Interpretation Framework Systematic Risk Analysis : - Beta > 1.0 : High Beta Asset - greater systematic risk and volatility than market - Beta = 1.0 : Market Beta - moves in line with benchmark volatility - Beta < 1.0 : Low Beta Asset - lower systematic risk and volatility than market - Beta ≈ 0 : Market Neutral - minimal correlation with benchmark movements - Negative Beta : Hedge Asset - provides portfolio diversification through inverse correlation Portfolio Management Applications : - Risk Assessment : Understanding asset's contribution to portfolio systematic risk - Diversification Analysis : Identifying correlation patterns for portfolio construction - Hedging Strategy : Utilizing beta relationships for risk management - Asset Selection : Choosing assets based on desired beta characteristics 🎨 Visual Features – Beta Line : Blue line plot with 2-pixel thickness showing beta coefficient evolution – Reference Line : Horizontal dashed gray line at beta = 1 for market correlation reference – Separate Pane Display : Independent oscillator visualization for focused beta analysis – Dynamic Scaling : Automatic y-axis adjustment to accommodate beta value ranges 🔍 Advanced Features – Multi-Asset Compatibility : Works across all asset classes and market instruments – Benchmark Flexibility : Any tradable symbol can serve as correlation benchmark – Real-Time Updates : Continuous beta recalculation with each new price bar – Statistical Accuracy : Manual covariance and variance calculations ensuring precision – Rolling Window Methodology : Maintains specified lookback period for all calculations – Correlation Sensitivity : Responsive to changing market relationships and correlations 🔔 Beta Applications & Signals – High Beta Identification : Assets with beta > 1.2 indicating high market sensitivity – Low Beta Recognition : Assets with beta < 0.8 indicating defensive characteristics – Beta Stability Analysis : Monitoring beta consistency over time for reliability assessment – Correlation Breakdown : Identifying periods when historical correlations change – Risk Management : Using beta values for position sizing and portfolio risk control – Market Regime Detection : Beta changes often signal shifting market conditions By utilizing precise statistical correlation analysis and systematic risk measurement , the Beta → PROFABIGHI_CAPITAL indicator provides mathematically robust market sensitivity analysis , offering accurate identification of systematic risk exposure through rigorous covariance calculation , variance analysis , and benchmark correlation assessment .
Pine Script®指標
由PROFABIGHI_CAPITAL提供
emavelas StrategyThe "emavelas Strategy" is a TradingView Pine Script (v6) for trend-following trading, combining EMA crossovers (7 and 25 periods) with candlestick patterns, market structure (HH/HL, BOS/CHOCH), volume/RSI filters, and multi-timeframe alignment (5m to Daily). It generates confirmed buy/sell signals, visualizes trends with lines/labels/tables, and includes backtesting with risk management (RR 2:1, dynamic SL/TP based on swings). Ideal for stocks, forex, or crypto on lower timeframes. Customizable via inputs; test in Strategy Tester. Note: Trading involves risks; not financial advice.
Pine Script®策略
由franciscosantiagotpm提供
NY Session (PIPNEXUS) Description: This indicator, created for the PIPNEXUS Community, is designed to make backtesting easier and more efficient. It highlights the New York session, allowing you to clearly see when the market experiences the highest volume and liquidity. By using this tool, PIPNEXUS members can better identify peak trading hours, spot potential high-momentum moves, and optimize their trading strategy. Ideal for traders who want a precise and visual way to track the most active market periods.
Pine Script®指標
由Pipnexus5提供
Trap Zone — Shinobi LabPurpose Trap Zone draws a clean intraday “no-man’s-land” and its surrounding + / – zones so you can quickly see where momentum trades are favored — and where to avoid fighting the tape. It also overlays ADR bands to frame extreme extensions. How it works Trap Zone core: Built from recent high/low lookbacks and key MAs. You can include MA200 in the box bounds (on by default) for stronger regime context. +1 / –1 zones: Dynamic bands just outside the Trap Zone, sized by an adaptive EB minimum (bar-size floor based on instrument price) or average body size. ADR bands (+/–): Daily range estimate using the last 20 sessions with outlier filtering (keeps the 5 most representative ranges under a safe cap). Anchoring & visuals: New zones/ADR levels are projected from the prior session close with configurable left/right extension, labels (“++”, “––”, “+++”, “–––”), and a skull label inside the box. Why it’s useful Clarity at a glance: Above the box → long context; below the box → short context. Inside the box = trap area where signals are lower-quality. Avoid the worst spots: The shaded center helps you skip chop and wait for clean breaks. Frame extensions: ADR lines highlight when price is getting stretched beyond a typical session move. Main features MAs: 8 / 20 / 200 / 500 (200 is optional in the box logic). Lookbacks: independent highs/lows for precise box edges. Adaptive EB sizing drives +1 / –1 placement. Outlier-robust ADR calculation. Customizable colors, labels, and projection length. Best practices Treat the Trap Zone as a filter, not an entry signal. Favor longs for signals above the box and shorts for signals below it. Use with your signal tool (e.g., EB/TB V11.4) to time entries while the Trap Zone provides bias and location. Inputs (highlights) Include MA200 in Trap Zone (on/off) Bars for High / Low (lookback) Visual Extension Zones & Left Visual Extension Show Zones / Show ADR Labels MA lengths (8/20/200/500) Notes Designed for equities; ADR is computed at the end of the regular session and projected forward. Works on intraday charts; precision set to 2 by default.
Pine Script®指標
由manueldelcura1提供
Seasonality - Multiple Timeframes📊 Seasonality - Multiple Timeframes 🎯 What This Indicator Does This advanced seasonality indicator analyzes historical price patterns across multiple configurable timeframes and projects future seasonal behavior based on statistical averages. Unlike simple seasonal overlays, this indicator provides gap-resistant architecture specifically designed for commodity futures markets and other instruments with contract rolls. 🔧 Key Features Multiple Timeframe Analysis Three Independent Timeframes: Configure separate historical periods (e.g., 5Y, 10Y, 15Y) for comprehensive analysis Individual Control: Enable/disable historical lines and projections independently for each timeframe Color Customization: Distinct colors for historical patterns and future projections Advanced Architecture Gap-Resistant Design: Handles missing data and contract rolls in futures markets seamlessly Calendar-Day Normalization: Uses 365-day calendar system for accurate seasonal comparisons Outlier Filtering: Automatically excludes extreme price movements (>10% daily changes) Roll Detection: Identifies and excludes contract roll periods to maintain data integrity Real-Time Projections Forward-Looking Analysis: Projects seasonal patterns into the future based on remaining calendar days Configurable Projection Length: Adjust forecast period from 10 to 150 bars Data Interpolation: Optional gap-filling for smoother seasonal curves 📈 How It Works Data Collection Process The indicator collects daily price returns for each calendar day (1-365) over your specified historical periods. For each timeframe, it: Calculates daily returns while excluding roll periods and outliers Accumulates these returns by calendar day across multiple years Computes average seasonal performance from January 1st to current date Projects remaining seasonal pattern based on historical averages 🎯 Designed For Primary Use Cases Commodity Futures Trading: Corn, soybeans, coffee, sugar, cocoa, natural gas, crude oil Seasonal Strategy Development: Identify optimal entry/exit timing based on historical patterns Pattern Validation: Confirm seasonal tendencies across different time horizons Market Timing: Compare current performance against historical seasonal expectations Trading Applications Trend Confirmation: Use multiple timeframes to validate seasonal direction Risk Assessment: Understand seasonal volatility patterns Position Sizing: Adjust exposure based on seasonal performance consistency Calendar Spread Analysis: Identify seasonal price relationships ⚙️ Configuration Guide Timeframe Setup Configure each timeframe independently: Years: Set historical lookback period (1-20 years) Historical Display: Show/hide the seasonal pattern line Projection Display: Enable/disable future seasonal projection Colors: Customize line colors for visual clarity Display Options Current YTD: Compare actual year-to-date performance Info Table: Detailed performance comparison across timeframes Projection Bars: Control forward-looking projection length Fill Gaps: Interpolate missing data points for smoother curves Debug Features Enable debug mode to validate data quality: Data Point Counts: Verify sufficient historical data per calendar day Roll Detection Status: Monitor contract roll identification Empty Days Analysis: Identify potential data gaps Calculation Verification: Debug seasonal price computations 📊 Interpretation Guidelines Strong Seasonal Signal All three timeframes align in the same direction Current price follows seasonal expectation Sufficient data points (>3 years minimum per timeframe) Seasonal Divergence Different timeframes show conflicting patterns Recent years deviate from longer-term averages Current price significantly above/below seasonal expectation Data Quality Indicators Green Status: Adequate data across all calendar days Red Warnings: Insufficient data or excessive gaps Roll Detection: Proper handling of futures contract changes ⚠️ Important Considerations Data Requirements Minimum History: At least 3-5 years for reliable seasonal analysis Continuous Data: Best results with daily continuous contract data Market Hours: Designed for traditional market session data Limitations Past Performance: Historical patterns don't guarantee future results Market Changes: Structural shifts can alter traditional seasonal patterns External Factors: Weather, geopolitics, and policy changes affect seasonal behavior Contract Rolls: Some data gaps may occur during futures roll periods 🔍 Technical Specifications Performance Optimizations Array Management: Efficient data storage using Pine Script arrays Gap Handling: Robust price calculation with fallback mechanisms Memory Usage: Optimized for large historical datasets (max_bars_back = 4000) Real-Time Updates: Live calculation updates as new data arrives Calculation Accuracy Outlier Filtering: Excludes daily moves >10% to prevent data distortion Roll Detection: 8% threshold for identifying contract changes Data Validation: Multiple checks for price continuity and data integrity 🚀 Getting Started Add to Chart: Apply indicator to your desired futures contract or commodity Configure Timeframes: Set historical periods (recommend 5Y, 10Y, 15Y) Enable Projections: Turn on future seasonal projections for forward guidance Validate Data: Use debug mode initially to ensure sufficient historical data Interpret Patterns: Compare current price action against seasonal expectations 💡 Pro Tips Multiple Confirmations: Use all three timeframes for stronger signal validation Combine with Technicals: Integrate seasonal analysis with technical indicators Monitor Divergences: Pay attention when current price deviates from seasonal pattern Adjust for Volatility: Consider seasonal volatility patterns for position sizing Regular Updates: Recalibrate settings annually to maintain relevance --- This indicator represents years of development focused on commodity market seasonality. It provides institutional-grade seasonal analysis previously available only to professional trading firms.
Pine Script®指標
由joericke提供
EB TB V11.5 — Elephant & Tail Bar Detector | Shinobi LabThe EB TB V11.4 indicator is built to accurately detect Elephant Bars (EB) and Tail Bars (TB), helping traders capture momentum while filtering out false signals. It combines strict technical validation with visual risk management, so you can trade with structure and discipline. 🔑 Key Features: Dynamic Moving Averages (8, 20, 200): confirm direction and dominant trend. Configurable session filter: only shows signals during the most liquid hours. Clean Average Range: removes outliers to calculate consistent ranges. 200MA Extension Bypass: allows signals when price is stretched far enough from the MA200. Validated EB/TB signals: strict conditions for bar size, strength and range. Repetition control: prevents back-to-back duplicate signals. Auto TP levels: blue lines marking suggested exit targets. MLPT Risk Box: automatic lot size & $ risk calculation per trade. Gap & Excess Bar warnings: visual notes when special market conditions are present. Integrated alerts: instant notification when a new EB/TB signal appears. This approach makes EB TB V11.4 not just a signal-painting tool, but a complete framework that blends context, risk management, and trading discipline into one indicator.
Pine Script®指標
由manueldelcura1提供
VXN (NQ100) Implied Move — Bands StrategyVXN (NQ100) Implied Move — Bands Strategy 📌 Overview This strategy uses the 30-day implied volatility from VXN (CBOE:VXN) to build an “implied move” envelope around a EMA computed in the indicator timeframe. The bands act like elastic zones where price stretches and often reverts. Signals trigger when the close re-enters the zone, and exits are managed via opposite band targets, band retests, and/or optional ATR thresholds. All logic confirms on bar close. ⚙️ Key Inputs - Indicator Timeframe (tfInput): timeframe used to sample both the symbol EMA and VXN. - EMA Length (emaLen): center line for the bands. - Multiplier (mult): scales the implied move. - Days (daysLook): horizon in days for square-root-of-time scaling. - Trade Direction: Both / Longs only / Shorts only. - Band TP / Band SL: enable take-profit or stop at bar close when price hits bands. - ATR Stop (SL) & ATR Take Profit (TP): optional ATR-based exits. - Bar Limit (Time Stop): closes a trade after N bars in market. - Prevent PDT: caps day trades within a rolling window. 🧠 Band Construction (core) Compute EMA of price in the Indicator Timeframe. Fetch VXN (close) in the same timeframe. Implied Move (IM) = EMA * (VXN/100) * sqrt(Days/365) * Multiplier. Bands: Upper = EMA + IM Lower = EMA - IM 🚀 Entry Rules (all on bar close) Long: first, the close moves below the lower band (arming). Later, when the close crosses above that band, go long. Short: mirror logic. First, the close moves above the upper band (arming), then the close crosses below that band, go short. 🎯 Exit Logic (first event wins, on bar close) Band Take-Profit: target at the opposite band. Band Stop-Loss: if the close returns to the entry band (lower for longs, upper for shorts). ATR Optional: ATR SL: distance from entry price via multiplier. ATR TP: profit target based on ATR. Time Stop (Bar Limit): forces an exit after a maximum number of bars. 🛡️ Risk Management & Filters Trade Direction: restrict sides (long-only, short-only, or both). Prevent PDT: counts day trades per calendar day and limits them in a rolling window. ATR Stops/TP: useful under higher volatility to control exposure. 🔔 Alerts Includes alerts for entries and exits (bands and ATR). Set them to Once per bar close to align with the close-based logic. 📎 Important Notes EMA and VXN are both computed in the Indicator Timeframe. Signals confirm on bar close only; intrabar confirmation is not used. VXN is essentially daily. If you pick an intraday Indicator Timeframe, TradingView will replicate the last daily value until the next update; the EMA and IM are still computed consistently in that timeframe. Not financial advice. Backtest and adjust before live use. 🧩 Tips - Tune Days and Multiplier to match your trading horizon and sensitivity. - Combine Band TP/SL with ATR SL/TP for hybrid exit management. - For intraday trading, consider a Bar Limit to avoid over-holding.
Pine Script®策略
由mauricio_a_morales提供
1
Strength by EGThis indicator from equitygurukul.in is designed to help traders identify key market trend phases using classic moving averages. It includes: 50, 150, 200-period MAs (user can choose SMA or EMA via dropdown). A Custom MA (default length 21, user-adjustable). Buy Signal Arrow when bullish alignment conditions are met. Weak Label when price crosses below the Custom MA. Strength Label when price crosses above the Custom MA and is also above the 50 MA. Fully customizable colors, label display toggles, and arrow size options. This tool allows traders to quickly visualize momentum shifts, long-term trend alignment, and strength/weakness signals on the chart. ⚠️ Disclaimer This script is created for educational purposes under the brand equitygurukul.in. It is not financial advice. Trading and investing involve risk, and past performance does not guarantee future results. Please do your own research or consult a financial advisor before making investment decisions.
Pine Script®指標
由arh02041996提供
RUBY SYSTEM📋 Step 1: Setup & Installation Add to TradingView: Copy the entire Pine Script code from the artifact above Open TradingView → Go to Pine Editor (bottom of screen) Paste the code and click "Add to Chart" Boom! Your chart now has institutional-level analysis Customize Your Settings: Click the ⚙️ gear icon on the indicator to adjust: EMA Length: Keep at 9 (optimal for price action) Stop Loss Method: Choose "Structure" (uses swing highs/lows) Risk:Reward: TP1 at 1.5R, TP2 at 3R (customize as needed) Volume Filter: Keep ON (avoids low-conviction moves) 🎯 Step 2: Reading the Visual Signals What You'll See on Your Chart: 📊 Core Lines: 🟠 Orange Line: VWAP (institutional fair value) 🔵 Blue Line: EMA 9 (trend filter) 📦 Order Flow Boxes: 🟢 Green Boxes: Bullish Order Blocks (banks bought here) 🔴 Red Boxes: Bearish Order Blocks (institutions sold here) 📱 Green/Red FVG Boxes: Fair Value Gaps (price imbalances) 🎯 Entry Signals: 🟢 Green Triangle UP: Long entry signal 🔴 Red Triangle DOWN: Short entry signal 💎 Orange Diamonds: Liquidity sweeps (stop hunts) ⬆️ Lime Arrows: Bullish Break of Structure ⬇️ Purple Arrows: Bearish Break of Structure 📏 Trade Management Lines: 🔴 Red Dashed Line: Stop Loss level 🟢 Green Dashed Line: Take Profit level 🚀 Step 3: How to Trade 🔍 BEFORE Entering Any Trade: Check the Dashboard (top-right corner): HTF Trend: Only trade WITH the trend Volume Surge: Want this to be TRUE Market Structure: Look for BoS signals 📈 LONG ENTRY Checklist: ✅ Green triangle appears (entry signal) ✅ Price above VWAP (orange line) ✅ Price above EMA (blue line) ✅ HTF Trend shows "Bullish" ✅ Volume Surge = True ✅ Recent Break of Structure UP (↑) 📉 SHORT ENTRY Checklist: ✅ Red triangle appears (entry signal) ✅ Price below VWAP (orange line) ✅ Price below EMA (blue line) ✅ HTF Trend shows "Bearish" ✅ Volume Surge = True ✅ Recent Break of Structure DOWN (↓) 💰 Step 4: Trade Management 🛑 Stop Loss (Red Dashed Line): Automatically calculated at recent swing high/low NEVER move your stop against you Only move to break-even after hitting first target 🎯 Take Profit (Green Dashed Line): TP1: 1.5 Risk:Reward (take 50% profits) TP2: 3.0 Risk:Reward (take remaining 50%) Or hold until price closes opposite side of EMA 🚪 Exit Rules: LONG: Exit when price closes BELOW EMA (blue line) SHORT: Exit when price closes ABOVE EMA (blue line) Or hit your stop loss 🏆 Step 5: Advanced Strategies 🎪 The "Liquidity Sweep" Setup: Wait for orange diamond (liquidity sweep) Look for immediate reversal back into structure Enter when green/red triangle confirms These are PREMIUM setups - highest win rate 📦 The "Order Block Retest": Wait for price to hit a green/red box (order block) Look for rejection from that zone Enter when triangle signal appears Institutions often defend these levels 🔄 The "VWAP Retest": Price breaks VWAP with volume Comes back to retest VWAP (orange line) Gets support/resistance at VWAP Enter on triangle signal confirmation 🚨 Step 6: Risk Management Rules ⚠️ NEVER Trade When: Volume Surge = False (low conviction) HTF Trend contradicts your direction No Break of Structure signal Market Structure shows "Ranging" 💡 Position Sizing: Risk 1-2% per trade maximum Use the stop loss line to calculate position size Never risk more than you can afford to lose 📊 Best Timeframes: 5M-15M: Scalping (quick in/out) 1H-4H: Swing trading (hold longer) Daily: Position trading 🎯 Quick Start Checklist: ✅ Add indicator to chart ✅ Wait for green/red triangle signal ✅ Check dashboard shows favorable conditions ✅ Confirm HTF trend alignment ✅ Enter trade at signal ✅ Set stop at red dashed line ✅ Take profits at green dashed line ✅ Exit if price closes opposite side of EMA 🚀 Pro Tips: Be patient - wait for ALL confirmations Quality over quantity - fewer high-probability trades win Practice on paper before going live Backtest on historical data to build confidence Set up alerts so you don't miss signals
Pine Script®指標
由claudecurry23提供
My Backtest Module### 📊 Universal Backtest Module - Pro Structure **A Fully Customizable Strategy Framework for Advanced Backtesting & Signal Analysis** This powerful Pine Script strategy is designed as a **universal testing module** for traders and developers who want to evaluate custom trading logic across multiple conditions, timeframes, and risk parameters — all within a single, flexible structure. > ⚠️ **Note:** This script is intended for **educational and backtesting purposes only**. It does **not** provide financial advice, nor does it guarantee profits. Always test strategies thoroughly before applying them to live markets. --- ### 🔧 Key Features ✅ **Multi-Source Entry Signals** Combine up to two independent buy/sell signals using flexible logic: - **OR Logic**: Trigger on any signal (edge-based). - **AND Logic (Latched)**: Requires both signals at any point (flip-flop style). - **AND No Latch**: Both signals must be active simultaneously. ✅ **Dynamic Trade Direction Control** Choose between: - Long & Short (Both) - Long Only - Short Only With optional **close-on-opposite-signal** and **wait-for-opposite-reentry** logic. ✅ **Precision Timing Filters** - Date range filtering (start/end dates) - Intraday session control (supports up to 3 custom sessions) - Visual session shading for clarity ✅ **Advanced Risk Management** - Multiple Stop Loss types: - Fixed Points / Percent - ATR-based (adjustable multiplier) - Swing-based (automatically detects pivots) - External SL source - Dynamic position sizing: - Fixed lot - % of equity risk (with max fallback) ✅ **Smart Take Profit Options** - Fixed Points, Percent, RR Ratio, ATR, Fibonacci extensions - Support for **external TP levels** (user-defined sources) - Optional **multiple partial exits** with customizable size distribution - Fibonacci TP levels (1.0, 1.618, 2.618, 4.236) based on SL distance ✅ **Flexible Exit Tools** - Breakeven stop activation after TP1 hit - Internal swing-based trailing stop - External trailing stop (custom source) - Max holding time (auto-close after X candles) - Custom close conditions via user-defined logic - Close & reverse functionality ✅ **Visual Clarity & Feedback** - Clear visual markers for Buy/Sell signals - Real-time SL, Entry, and TP lines with color-coded risk/reward zones - On-chart TP level labels showing prices and allocation percentages - Session background highlighting - Trade statistics summary label --- ### 🛠️ Ideal For: - Testing new indicator combinations - Validating entry/exit logic under various market filters - Comparing signal fusion methods (OR vs AND) - Simulating professional-grade risk management rules - Educational demonstrations in algorithmic trading --- ### ⚠️ Important Notes - This is a **backtesting tool**, not a live trading bot. - Past performance is **not indicative of future results**. - Strategy performance depends entirely on the quality of input signals. - Always validate results across multiple assets and timeframes. - Use in conjunction with sound money management principles. --- ### 📌 How to Use 1. Attach the script to your chart. 2. Configure **Buy/Sell Signal Sources** (e.g., RSI crossovers, moving averages, etc.) 3. Set your preferred **trade direction, session, and date filters** 4. Define **stop loss and take profit rules** 5. Adjust position sizing and exit behavior 6. Run the backtest and analyze results in the **Strategy Tester tab** 💡 *Tip: Combine with other indicators by referencing their output values as signal sources.* --- ### ❌ Disclaimer This script is shared for **informational and educational purposes only**. By using it, you agree that: - The author is **not responsible** for any financial losses. - Trading involves significant risk; only risk capital should be used. - You are solely responsible for your trading decisions. 🚫 **This script does not promote get-rich-quick schemes, guaranteed profits, or unverified performance claims.** --- 🔁 **Version:** 5 (Pine Script v5) 📦 **Category:** Strategy 📈 **Overlay:** Yes 🧪 **Purpose:** Backtesting, Signal Validation, Risk Modeling --- ✅ **Safe for Public Sharing** ✔ Complies with TradingView’s community standards ✔ No misleading performance claims ✔ No automated trading promises ✔ No copyrighted or plagiarized content --- > 💬 *"Knowledge is power — test wisely, trade responsibly."* --- Let me know if you'd like a **short version** for the script's header comment or a **public post summary** for the TradingView feed!
Pine Script®策略
由contactkenny117s提供
RS by Equity GurukulThis indicator plots the Relative Strength (RS) of the current symbol against a chosen benchmark (default: NSE:NIFTYMIDSML400). It also overlays a customizable Moving Average (MA) on the RS line for trend confirmation. Key Features: RS Line: Ratio of stock price vs. benchmark. RS MA: Customizable Moving Average (default 21; choose SMA or EMA). RS Phase Fill: Background shading highlights when RS is above its MA (outperformance) or below its MA (underperformance). RS New High Detection: Marks points where RS makes a new high (within user-defined lookback) while price has not yet broken its own high → signaling potential early strength. This tool helps visualize relative performance trends, identify emerging leaders, and spot early breakouts before they reflect in price. ⚠️ Disclaimer This indicator is for educational purposes only and is not financial advice. It is a research and practice tool designed to illustrate concepts of relative strength analysis. Please do your own due diligence and consult a licensed financial advisor before making any trading or investment decisions.
Pine Script®指標
由arh02041996提供