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Indikator dan strategi

NormalizedIndicatorsNormalizedIndicators Library - Comprehensive Trend Normalization & Pre-Calibrated Systems Overview The NormalizedIndicators Library is an advanced Pine Script™ collection that provides normalized trend-following indicators, calculation functions, and pre-calibrated consensus systems for technical analysis. This library extends beyond simple indicator normalization by offering battle-tested, optimized parameter sets for specific assets and timeframes. The main advantage lies in its dual functionality: Individual normalized indicators with standardized outputs (1 = bullish, -1 = bearish, 0 = neutral) Pre-calibrated consensus functions that combine multiple indicators with asset-specific optimizations This enables traders to either build custom strategies using individual indicators or leverage pre-optimized systems designed for specific markets. 📊 Library Structure The library is organized into three main sections: 1. Trend-Following Indicators Individual indicators normalized to standard output format 2. Calculation Indicators Statistical and mathematical analysis functions 3. Pre-Calibrated Systems ⭐ NEW Asset-specific consensus configurations with optimized parameters 🔄 Trend-Following Indicators Stationary Indicators These oscillate around a fixed value and are not bound to price. TSI() - True Strength Index ⭐ NEW Source: TradingView Parameters: price: Price source long: Long smoothing period short: Short smoothing period signal: Signal line period Logic: Double-smoothed momentum oscillator comparing TSI to its signal line Signal: 1 (bullish): TSI ≥ TSI EMA 0 (bearish): TSI < TSI EMA Use Case: Momentum confirmation with trend direction SMI() - Stochastic Momentum Index ⭐ NEW Source: TradingView Parameters: src: Price source lengthK: Stochastic period lengthD: Smoothing period lengthEMA: Signal line period Logic: Enhanced stochastic that measures price position relative to midpoint of high/low range Signal: 1 (bullish): SMI ≥ SMI EMA 0 (bearish): SMI < SMI EMA Use Case: Overbought/oversold with momentum direction BBPct() - Bollinger Bands Percent Source: Algoalpha X Sushiboi77 Parameters: Length: Period for Bollinger Bands Factor: Standard deviation multiplier Source: Price source (typical: close) Logic: Calculates the position of price within the Bollinger Bands as a percentage Signal: 1 (bullish): when positionBetweenBands > 50 -1 (bearish): when positionBetweenBands ≤ 50 Special Feature: Uses an array to store historical standard deviations for additional analysis RSI() - Relative Strength Index Source: TradingView Parameters: len: RSI period src: Price source smaLen: Smoothing period for RSI Logic: Classic RSI with additional SMA smoothing Signal: 1 (bullish): RSI-SMA > 50 -1 (bearish): RSI-SMA < 50 0 (neutral): RSI-SMA = 50 Non-Stationary Indicators These follow price movement and have no fixed boundaries. NorosTrendRibbonSMA() & NorosTrendRibbonEMA() Source: ROBO_Trading Parameters: Length: Moving average and channel period Source: Price source Logic: Creates a price channel based on the highest/lowest MA value over a specified period Signal: 1 (bullish): Price breaks above upper band -1 (bearish): Price breaks below lower band 0 (neutral): Price within channel (maintains last state) Difference: SMA version uses simple moving averages, EMA version uses exponential TrendBands() Source: starlord_xrp Parameters: src (price source) Logic: Uses 12 EMAs (9-30 period) and checks if all are rising or falling simultaneously Signal: 1 (bullish): All 12 EMAs are rising -1 (bearish): All 12 EMAs are falling 0 (neutral): Mixed signals Special Feature: Very strict conditions - extremely strong trend filter Vidya() - Variable Index Dynamic Average Source: loxx Parameters: source: Price source length: Main period histLength: Historical period for volatility calculation Logic: Adaptive moving average that adjusts to volatility Signal: 1 (bullish): VIDYA is rising -1 (bearish): VIDYA is falling VZO() - Volume Zone Oscillator Parameters: source: Price source length: Smoothing period volumesource: Volume data source Logic: Combines price and volume direction, calculates the ratio of directional volume to total volume Signal: 1 (bullish): VZO > 14.9 -1 (bearish): VZO < -14.9 0 (neutral): VZO between -14.9 and 14.9 TrendContinuation() Source: AlgoAlpha Parameters: malen: First HMA period malen1: Second HMA period theclose: Price source Logic: Uses two Hull Moving Averages for trend assessment with neutrality detection Signal: 1 (bullish): Uptrend without divergence -1 (bearish): Downtrend without divergence 0 (neutral): Trend and longer MA diverge LeonidasTrendFollowingSystem() Source: LeonidasCrypto Parameters: src: Price source shortlen: Short EMA period keylen: Long EMA period Logic: Simple dual EMA crossover system Signal: 1 (bullish): Short EMA < Key EMA -1 (bearish): Short EMA ≥ Key EMA ysanturtrendfollower() Source: ysantur Parameters: src: Price source depth: Depth of Fibonacci weighting smooth: Smoothing period bias: Percentage bias adjustment Logic: Complex system with Fibonacci-weighted moving averages and bias bands Signal: 1 (bullish): Weighted MA > smoothed MA (with upward bias) -1 (bearish): Weighted MA < smoothed MA (with downward bias) 0 (neutral): Within bias zone TRAMA() - Trend Regularity Adaptive Moving Average Source: LuxAlgo Parameters: src: Price source length: Adaptation period Logic: Adapts to trend regularity - accelerates in stable trends, slows in consolidations Signal: 1 (bullish): Price > TRAMA -1 (bearish): Price < TRAMA 0 (neutral): Price = TRAMA HullSuite() Source: InSilico Parameters: _length: Base period src: Price source _lengthMult: Length multiplier Logic: Uses Hull Moving Average with lagged comparisons for trend determination Signal: 1 (bullish): Current Hull > Hull 2 bars ago -1 (bearish): Current Hull < Hull 2 bars ago 0 (neutral): No change STC() - Schaff Trend Cycle Source: shayankm (described as "Better MACD") Parameters: length: Cycle period fastLength: Fast MACD period slowLength: Slow MACD period src: Price source Logic: Combines MACD concepts with stochastic normalization for early trend signals Signal: 1 (bullish): STC is rising -1 (bearish): STC is falling 🧮 Calculation Indicators These functions provide specialized mathematical calculations for advanced analysis. LCorrelation() - Long-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (30, 60, 90, 120, 150, 180) Returns: Correlation value between -1 and 1 Application: Long-term relationship analysis between assets, markets, or indicators MCorrelation() - Medium-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (15, 30, 45, 60, 75, 90) Returns: Correlation value between -1 and 1 Application: Medium-term relationship analysis with higher sensitivity assetBeta() - Beta Coefficient Creator: unicorpusstocks Parameters: measuredSymbol: The asset to be measured baseSymbol: The reference asset (e.g., market index) Logic: Calculates Beta across 4 different time horizons (50, 100, 150, 200 periods) Beta = Correlation × (Asset Standard Deviation / Market Standard Deviation) Returns the average of all 4 Beta values Returns: Beta value (typically 0-2, can be higher/lower) Interpretation: Beta = 1: Asset moves in sync with the market Beta > 1: Asset more volatile than market Beta < 1: Asset less volatile than market Beta < 0: Asset moves inversely to the market 🎯 Pre-Calibrated Systems ⭐ NEW FEATURE These are ready-to-use consensus functions with optimized parameters for specific assets and timeframes. Each calibration has been fine-tuned through extensive backtesting to provide optimal performance for its target market. Universal Calibrations virtual_4d_cal(src) - Virtual/General 4-Day Timeframe Use Case: General purpose 4-day chart analysis Optimized For: Broad crypto market on 4D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Balanced sensitivity for swing trading virtual_1d_cal(src) - Virtual/General 1-Day Timeframe Use Case: General purpose daily chart analysis Optimized For: Broad crypto market on 1D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Standard daily trading parameters Cryptocurrency Specific sui_cal(src) - SUI Ecosystem Tokens Use Case: Tokens in the SUI blockchain ecosystem Timeframe: 1D Characteristics: Fast-response parameters for high volatility projects deep_1d_cal(src) - DEEP Token Daily Use Case: Deepbook (DEEP) token analysis Timeframe: 1D Characteristics: Tuned for liquidity protocol token behavior wal_1d_cal(src) - WAL Token Daily Use Case: Specific for WAL token Timeframe: 1D Characteristics: Mid-range sensitivity parameters sns_1d_cal(src) - SNS Token Daily Use Case: Specific for SNS token Timeframe: 1D Characteristics: Balanced parameters for DeFi tokens meme_cal(src) - Meme Coin Calibration Use Case: Highly volatile meme coins Timeframe: Various Characteristics: Wider parameters to handle extreme volatility Warning: Meme coins carry extreme risk base_cal(src) - BASE Ecosystem Tokens Use Case: Tokens on the BASE blockchain Timeframe: Various Characteristics: Optimized for L2 ecosystem tokens Solana Ecosystem sol_4d_cal(src) - Solana 4-Day Use Case: SOL token on 4-day charts Characteristics: Responsive parameters for major L1 blockchain sol_meme_4d_cal(src) - Solana Meme Coins 4-Day Use Case: Meme coins on Solana blockchain Timeframe: 4D Characteristics: Handles high volatility of Solana meme sector Ethereum Ecosystem eth_4d_cal(src) - Ethereum 4-Day Use Case: ETH and major ERC-20 tokens Timeframe: 4D Indicators Used: BBPct, Noro's, RSI, TSI, HullSuite, TrendContinuation, Leonidas, SMI Special: Uses TSI and SMI instead of VIDYA and TRAMA Characteristics: Tuned for Ethereum's market cycles Bitcoin btc_4d_cal(src) - Bitcoin 4-Day Use Case: Bitcoin on 4-day charts Timeframe: 4D Characteristics: Slower, smoother parameters for the most established crypto asset Notes: Conservative parameters suitable for position trading Traditional Markets qqq_4d_cal(src) - QQQ (Nasdaq-100 ETF) 4-Day Use Case: QQQ ETF and tech-heavy indices Timeframe: 4D Characteristics: Largest parameter sets reflecting lower volatility of traditional markets Notes: Can be adapted for similar large-cap tech indices 💡 Usage Examples Example 1: Using Pre-Calibrated System pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Simple one-line implementation for Bitcoin btcSignal = lib.btc_4d_cal(close) // Trading logic longCondition = btcSignal > 0.5 shortCondition = btcSignal < -0.5 // Plot plot(btcSignal, "BTC 4D Consensus", color.orange) Example 2: Custom Multi-Indicator Consensus pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Build your own combination signal1 = lib.BBPct(20, 2.0, close) signal2 = lib.RSI(14, close, 5) signal3 = lib.TRAMA(close, 50) signal4 = lib.TSI(close, 25, 13, 13) // Custom consensus customConsensus = math.avg(signal1, signal2, signal3, signal4) plot(customConsensus, "Custom Consensus", color.blue) Example 3: Asset-Specific Strategy Switching pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Automatically use the right calibration signal = switch syminfo.ticker "BTCUSD" => lib.btc_4d_cal(close) "ETHUSD" => lib.eth_4d_cal(close) "SOLUSD" => lib.sol_4d_cal(close) "QQQ" => lib.qqq_4d_cal(close) => lib.virtual_4d_cal(close) // Default plot(signal, "Auto-Calibrated Signal", color.orange) Example 4: Correlation-Filtered Trading pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Only trade when strong correlation with market exists spy = request.security("SPY", timeframe.period, close) correlation = lib.MCorrelation(close, spy) trendSignal = lib.virtual_1d_cal(close) // Only signals with positive market correlation tradeBuy = trendSignal > 0.5 and correlation > 0.5 tradeSell = trendSignal < -0.5 and correlation > 0.5 Example 5: Beta-Adjusted Position Sizing pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib spy = request.security("SPY", timeframe.period, close) beta = lib.assetBeta(close, spy) // Adjust position size based on Beta basePositionSize = 100 adjustedSize = basePositionSize / beta // Less size with high Beta // Use with calibrated signal signal = lib.qqq_4d_cal(close) 🎯 Choosing the Right Calibration Decision Tree 1. What asset are you trading? Bitcoin → btc_4d_cal() Ethereum/ERC-20 → eth_4d_cal() Solana → sol_4d_cal() Solana memes → sol_meme_4d_cal() SUI ecosystem → sui_cal() BASE ecosystem → base_cal() Meme coins (any chain) → meme_cal() QQQ/Tech indices → qqq_4d_cal() Other/General → virtual_4d_cal() or virtual_1d_cal() 2. What timeframe? Most calibrations are optimized for 4D (4-day) or 1D (daily) For other timeframes, start with virtual calibrations and adjust 3. What's the asset's volatility? High volatility (memes, new tokens) → Use meme_cal() or similar Medium volatility (established alts) → Use specific calibrations Low volatility (BTC, major indices) → Use btc_4d_cal() or qqq_4d_cal() ⚙️ Technical Details Normalization Standard Bullish: 1 Bearish: -1 Neutral: 0 (only for selected indicators) Calibration Methodology Pre-calibrated functions were optimized using: Historical backtesting on target assets Parameter optimization for maximum Sharpe ratio Validation on out-of-sample data Real-time forward testing Iterative refinement based on market conditions Advantages of Pre-Calibrations Instant Deployment: No parameter tuning needed Asset-Optimized: Tailored to specific market characteristics Tested Performance: Validated through extensive backtesting Consistent Framework: All use the same 8-indicator structure Easy Comparison: Compare different assets using same methodology Performance Considerations All functions are optimized for Pine Script v5 Proper use of var for state management Efficient array operations where needed Minimal recursive calls Pre-calibrations add negligible computational overhead 📋 License This code is subject to the Mozilla Public License 2.0 at mozilla.org 🔧 Installation pinescriptimport unicorpusstocks/NormalizedIndicators/1 Then use functions with your chosen alias: pinescript// Individual indicators lib.BBPct(20, 2.0, close) lib.RSI(14, close, 5) lib.TSI(close, 25, 13, 13) // Pre-calibrated systems lib.btc_4d_cal(close) lib.eth_4d_cal(close) lib.meme_cal(close) ⚠️ Important Notes General Usage All indicators are lagging, as is typical for trend-following indicators Signals should be combined with additional analysis (volume, support/resistance, etc.) Backtesting is recommended before starting live trading with these signals Different assets and timeframes may require different parameter optimizations Pre-Calibrated Systems Calibrations are optimized for specific timeframes - using them on different timeframes may reduce effectiveness Market conditions change - what worked historically may need adjustment Pre-calibrations are starting points, not guaranteed solutions Always validate performance on your specific use case Consider current market regime (trending vs. ranging) Risk Management Meme coin calibrations are designed for extremely volatile assets - use appropriate position sizing Pre-calibrated systems do not eliminate risk Always use stop losses and proper risk management Past performance does not guarantee future results Customization Pre-calibrations can serve as templates for your own optimizations Feel free to adjust individual parameters within calibration functions Test modifications thoroughly before live deployment 🎓 Advanced Use Cases Multi-Asset Portfolio Dashboard Create a dashboard showing consensus across different assets: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib btc = request.security("BTCUSD", "4D", close) eth = request.security("ETHUSD", "4D", close) sol = request.security("SOLUSD", "4D", close) btcSignal = lib.btc_4d_cal(btc) ethSignal = lib.eth_4d_cal(eth) solSignal = lib.sol_4d_cal(sol) // Plot all three for comparison plot(btcSignal, "BTC", color.orange) plot(ethSignal, "ETH", color.blue) plot(solSignal, "SOL", color.purple) Regime Detection Use correlation and calibrations together: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Detect market regime btc = request.security("BTCUSD", timeframe.period, close) correlation = lib.MCorrelation(close, btc) // Choose strategy based on correlation signal = correlation > 0.7 ? lib.btc_4d_cal(close) : lib.virtual_4d_cal(close) Comparative Analysis Compare asset-specific vs. general calibrations: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib specificSignal = lib.btc_4d_cal(close) // BTC-specific generalSignal = lib.virtual_4d_cal(close) // General divergence = specificSignal - generalSignal plot(divergence, "Calibration Divergence", color.yellow) 🚀 Quick Start Guide For Beginners Identify Your Asset: What are you trading? Find the Calibration: Use the decision tree above One-Line Implementation: signal = lib.btc_4d_cal(close) Set Thresholds: Buy when > 0.5, sell when < -0.5 Add Risk Management: Always use stops For Advanced Users Start with Pre-Calibration: Use as baseline Analyze Performance: Backtest on your specific market Fine-Tune Parameters: Adjust individual indicators if needed Combine with Other Signals: Volume, market structure, etc. Create Custom Calibrations: Build your own based on library structure For Developers Import Library: Access all functions Mix and Match: Combine indicators creatively Build Custom Logic: Use indicators as building blocks Create New Calibrations: Follow the established pattern Share and Iterate: Contribute to the trading community 🎯 Key Takeaways ✅ 10 normalized indicators - Consistent interpretation across all ✅ 16+ pre-calibrated systems - Ready-to-use for specific assets ✅ Asset-optimized parameters - No guesswork required ✅ Calculation functions - Advanced correlation and beta analysis ✅ Universal framework - Works across crypto, stocks, forex ✅ Professional-grade - Built on proven technical analysis principles ✅ Flexible architecture - Use pre-calibrations or build your own ✅ Battle-tested - Validated through extensive backtesting NormalizedIndicators Library transforms complex multi-indicator analysis into actionable signals through both customizable individual indicators and pre-optimized consensus systems. Whether you're a beginner looking for plug-and-play solutions or an advanced trader building sophisticated strategies, this library provides the foundation for data-driven trading decisions.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
Perpustakaan Pine Script®
oleh Unicorpus
RSI BREAKOUT SIGNALSThis BB + RSI Breakout indicator is designed to help traders identify potential buy and sell opportunities based on price movements relative to the Donchian channel (or Bollinger-type channel) and momentum conditions. It calculates the highest high and lowest low over a user-defined length to form a dynamic channel, and then it checks whether the current price breaks above the upper band (for a buy signal) or below the lower band (for a sell signal). To avoid repeated signals in a row, the indicator uses a state system: after a buy signal occurs, it will not generate another buy until a sell occurs, and vice versa. When a buy signal is triggered, it automatically calculates a take-profit price a certain percentage above the buy candle and displays this price below the candle as a “TP” label. Sell signals are displayed above the candle, and any previous TP label is cleared. The indicator updates in real time, so the signals move with the chart, giving a clear and lag-free visualization of entry points and potential profit targets.
Strategi Pine Script®
oleh gabrielcoracinidesouza07
2
indicator CalibrationIndicator Calibration - Multi-Indicator Consensus System Overview Indicator Calibration is a powerful consensus-based trading indicator that leverages the MyIndicatorLibrary (NormalizedIndicators) to combine multiple trend-following indicators into a single, actionable signal. By averaging the normalized outputs of up to 8 different trend indicators, this tool provides traders with a clear consensus view of market direction, reducing noise and false signals inherent in single-indicator approaches. The indicator outputs a value between -1 (strong bearish) and +1 (strong bullish), with 0 representing a neutral market state. This creates an intuitive, easy-to-read oscillator that synthesizes multiple analytical perspectives into one coherent signal. 🎯 Core Concept Consensus Trading Philosophy Rather than relying on a single indicator that may give conflicting or premature signals, Indicator Calibration employs a democratic voting system where multiple indicators contribute their normalized opinion: Each enabled indicator votes: +1 (bullish), -1 (bearish), or 0 (neutral) The votes are averaged to create a consensus signal Strong consensus (closer to ±1) indicates high agreement among indicators Weak consensus (closer to 0) indicates market indecision or transition Key Benefits Reduced False Signals: Multiple indicators must agree before strong signals appear Noise Filtering: Individual indicator quirks are smoothed out by averaging Customizable: Enable/disable indicators and adjust parameters to suit your trading style Universal Application: Works across all timeframes and asset classes Clear Visualization: Simple line oscillator with clear bull/bear zones 📊 Included Indicators The system can utilize up to 8 normalized trend-following indicators from the library: 1. BBPct - Bollinger Bands Percent Parameters: Length (default: 20), Factor (default: 2) Type: Stationary oscillator Strength: Mean reversion and volatility detection 2. NorosTrendRibbonEMA Parameters: Length (default: 20) Type: Non-stationary trend follower Strength: Breakout detection with momentum confirmation 3. RSI - Relative Strength Index Parameters: Length (default: 9), SMA Length (default: 4) Type: Stationary momentum oscillator Strength: Overbought/oversold with smoothing 4. Vidya - Variable Index Dynamic Average Parameters: Length (default: 30), History Length (default: 9) Type: Adaptive moving average Strength: Volatility-adjusted trend following 5. HullSuite Parameters: Length (default: 55), Multiplier (default: 1) Type: Fast-response moving average Strength: Low-lag trend identification 6. TrendContinuation Parameters: MA Length 1 (default: 50), MA Length 2 (default: 25) Type: Dual HMA system Strength: Trend quality assessment with neutral states 7. LeonidasTrendFollowingSystem Parameters: Short Length (default: 21), Key Length (default: 10) Type: Dual EMA crossover Strength: Simple, reliable trend tracking 8. TRAMA - Trend Regularity Adaptive Moving Average Parameters: Length (default: 50) Type: Adaptive trend follower Strength: Adjusts to trend stability ⚙️ Input Parameters Source Settings Source: Choose your price input (default: close) Can be modified to: open, high, low, close, hl2, hlc3, ohlc4, hlcc4 Indicator Selection Each indicator can be enabled or disabled via checkboxes: use_bbpct: Enable/disable Bollinger Bands Percent use_noros: Enable/disable Noro's Trend Ribbon use_rsi: Enable/disable RSI use_vidya: Enable/disable VIDYA use_hull: Enable/disable Hull Suite use_trendcon: Enable/disable Trend Continuation use_leonidas: Enable/disable Leonidas System use_trama: Enable/disable TRAMA Parameter Customization Each indicator has its own parameter group where you can fine-tune: val 1: Primary period/length parameter val 2: Secondary parameter (multiplier, smoothing, etc.) 📈 Signal Interpretation Output Line (Orange) The main output oscillates between -1 and +1: +1.0 to +0.5: Strong bullish consensus (all or most indicators agree on uptrend) +0.5 to +0.2: Moderate bullish bias (bullish indicators outnumber bearish) +0.2 to -0.2: Neutral zone (mixed signals or transition phase) -0.2 to -0.5: Moderate bearish bias (bearish indicators outnumber bullish) -0.5 to -1.0: Strong bearish consensus (all or most indicators agree on downtrend) Reference Lines Green line (+1): Maximum bullish consensus Red line (-1): Maximum bearish consensus Gray line (0): Neutral midpoint 💡 Trading Strategies Strategy 1: Consensus Threshold Trading Entry Rules: - Long: Output crosses above +0.5 (strong bullish consensus) - Short: Output crosses below -0.5 (strong bearish consensus) Exit Rules: - Exit Long: Output crosses below 0 (consensus lost) - Exit Short: Output crosses above 0 (consensus lost) Strategy 2: Zero-Line Crossover Entry Rules: - Long: Output crosses above 0 (bullish shift in consensus) - Short: Output crosses below 0 (bearish shift in consensus) Exit Rules: - Exit on opposite crossover Strategy 3: Divergence Trading Look for divergences between: - Price making higher highs while indicator makes lower highs (bearish divergence) - Price making lower lows while indicator makes higher lows (bullish divergence) Strategy 4: Extreme Reading Reversal Entry Rules: - Long: Output reaches -0.8 or below (extreme bearish consensus = potential reversal) - Short: Output reaches +0.8 or above (extreme bullish consensus = potential reversal) Use with caution - best combined with other reversal signals 🔧 Optimization Tips For Trending Markets Enable trend-following indicators: Noro's, VIDYA, Hull Suite, Leonidas Use higher threshold levels (±0.6) to filter out minor retracements Increase indicator periods for smoother signals For Range-Bound Markets Enable oscillators: BBPct, RSI Use zero-line crossovers for entries Decrease indicator periods for faster response For Volatile Markets Enable adaptive indicators: VIDYA, TRAMA Use wider threshold levels to avoid whipsaws Consider disabling fast indicators that may overreact Custom Calibration Process Start with all indicators enabled using default parameters Backtest on your chosen timeframe and asset Identify which indicators produce the most false signals Disable or adjust parameters for problematic indicators Test different threshold levels for entry/exit Validate on out-of-sample data 📊 Visual Guide Color Scheme Orange Line: Main consensus output Green Horizontal: Bullish extreme (+1) Red Horizontal: Bearish extreme (-1) Gray Horizontal: Neutral zone (0) Reading the Chart Line above 0: Net bullish sentiment Line below 0: Net bearish sentiment Line near extremes: Strong consensus Line fluctuating near 0: Indecision or transition Smooth line movement: Stable consensus Erratic line movement: Conflicting signals ⚠️ Important Considerations Lag Characteristics This is a lagging indicator by design (consensus takes time to form) Best used for trend confirmation rather than early entry May miss the first portion of strong moves Reduces false entries at the cost of delayed entries Number of Active Indicators More indicators = smoother but slower signals Fewer indicators = faster but potentially noisier signals Minimum recommended: 4 indicators for reliable consensus Optimal: 6-8 indicators for balanced performance Market Conditions Best: Strong trending markets (up or down) Good: Volatile markets with clear directional moves Poor: Choppy, sideways markets with no clear trend Worst: Low-volume, range-bound conditions Complementary Tools Consider combining with: Volume analysis for confirmation Support/resistance levels for entry/exit points Market structure analysis (higher timeframe trends) Risk management tools (ATR-based stops) 🎓 Example Use Cases Swing Trading Timeframe: Daily or 4H Enable: All 8 indicators with default parameters Entry: Consensus > +0.5 or < -0.5 Hold: Until consensus reverses to opposite extreme Day Trading Timeframe: 15m or 1H Enable: Faster indicators (RSI, BBPct, Noro's, Hull Suite) Entry: Zero-line crossover with volume confirmation Exit: Opposite crossover or profit target Position Trading Timeframe: Weekly or Daily Enable: Slower indicators (TRAMA, VIDYA, Trend Continuation) Entry: Strong consensus (±0.7) with higher timeframe confirmation Hold: Months until consensus weakens significantly 🔬 Technical Details Calculation Method 1. Each enabled indicator calculates its normalized signal (-1, 0, or +1) 2. All active signals are stored in an array 3. Array.avg() computes the arithmetic mean 4. Result is plotted as a continuous line Output Range Theoretical: -1.0 to +1.0 Practical: Typically ranges between -0.8 to +0.8 Rare: All indicators perfectly aligned at ±1.0 Performance Lightweight calculation (simple averaging) No repainting (all indicators are non-repainting) Compatible with all Pine Script features Works on all TradingView plans 📋 License This code is subject to the Mozilla Public License 2.0 at mozilla.org 🚀 Quick Start Guide Add to Chart: Apply indicator to your chart Choose Timeframe: Select appropriate timeframe for your trading style Enable Indicators: Start with all 8 enabled Observe Behavior: Watch how consensus forms during different market conditions Calibrate: Adjust parameters and indicator selection based on observations Backtest: Validate your settings on historical data Trade: Apply with proper risk management 🎯 Key Takeaways ✅ Consensus beats individual indicators - Multiple perspectives reduce errors ✅ Customizable to your style - Enable/disable and tune to preference ✅ Simple interpretation - One line tells the story ✅ Works across markets - Stocks, crypto, forex, commodities ✅ Reduces emotional trading - Clear, objective signal generation ✅ Professional-grade - Built on proven technical analysis principles Indicator Calibration transforms complex multi-indicator analysis into a single, actionable signal. By harnessing the collective wisdom of multiple proven trend-following systems, traders gain a powerful edge in identifying high-probability trade setups while filtering out market noise.
Indikator Pine Script®
oleh Unicorpus
MAG8 Breadth RSI This indicator is for my personal monitoring breadth of MAG 8 , including AVGO for use to trade spy/es and qqq/nq. A green bar over 6 translates to 6 out of the 8 stocks have RSI's<30. Conversely a red indicator at 6 would indicate 6 out of 8 are overbought, RSI >70. Extreme 6-8 of 8 either overbought (red) or oversold (green) Moderate 4-5 of 8 either overbought (red) or oversold (green) No Signal 0-3 of 8 either overbought (red) or oversold (green) Not trading advice but thought I would share.
Indikator Pine Script®
oleh Jones516
Smart RSI Money Flow - Core Bands V1.01SMART RSI – Money Flow Bands (Technical Overview) 1. Background: RSI and Its Behavior on Lower Timeframes The Relative Strength Index (RSI) originally is a momentum oscillator calculated from average gains and losses over a selected period. In its standard form, RSI is derived solely from price changes; it does not incorporate volume data or order-flow information in its formula. Because RSI is price-based, its interpretation depends strongly on the timeframe: • On higher timeframes, each bar aggregates more trading activity, and RSI tends to behave more smoothly. • On lower timeframes (1-hour down to intraday scalping intervals), price fluctuations are quicker, and RSI becomes more sensitive to short-term noise. This does not imply that RSI becomes invalid, but that its signals on fast charts can be more reactive and may benefit from additional context such as volume behavior or structural information. 2. Purpose of This Indicator This indicator extends the classical RSI by adding information that RSI does not include: • Mapping RSI values into price-based bands instead of the 0–100 oscillator space. • Retrieving lower timeframe volume data and separating it into buy and sell components. • Comparing the slope (angle) of price movement with the slope of buy and sell volume. The goal is to provide a structural interpretation of where price sits relative to RSI conditions and how volume is behaving on a lower timeframe. 3. Technical Differences Compared to Classical RSI A) Classical RSI • Input: price only (usually close). • Output: normalized oscillator between 0 and 100. • Does not incorporate intra-bar volume distribution. • Does not separate buy/sell volume. B) SMART RSI – Money Flow Bands 1) RSI-to-Price Mapping Converts RSI values into upper/lower price bands using recent price extremes. 2) Lower Timeframe Volume Decomposition Retrieves LTF data and splits each bar’s volume into buy (close>open) and sell (close
Indikator Pine Script®
oleh ata_sabanci
NormalizedIndicatorsNormalizedIndicators - Comprehensive Trend Normalization Library Overview This Pine Script™ library provides an extensive collection of normalized trend-following indicators and calculation functions for technical analysis. The main advantage of this library lies in its unified signal output: All trend indicators are normalized to a standardized format where 1 represents a bullish signal, -1 represents a bearish signal, and 0 (where applicable) represents a neutral signal. This normalization enables traders to seamlessly combine different indicators, create consensus signals, and develop complex multi-indicator strategies without worrying about different scales and interpretations. 📊 Categories The library is divided into two main categories: 1. Trend-Following Indicators 2. Calculation Indicators 🔄 Trend-Following Indicators Stationary Indicators These oscillate around a fixed value and are not bound to price. BBPct() - Bollinger Bands Percent Source: Algoalpha X Sushiboi77 Parameters: Length: Period for Bollinger Bands Factor: Standard deviation multiplier Source: Price source (typical: close) Logic: Calculates the position of price within the Bollinger Bands as a percentage Signal: 1 (bullish): when positionBetweenBands > 50 -1 (bearish): when positionBetweenBands ≤ 50 Special Feature: Uses an array to store historical standard deviations for additional analysis RSI() - Relative Strength Index Source: TradingView Parameters: len: RSI period src: Price source smaLen: Smoothing period for RSI Logic: Classic RSI with additional SMA smoothing Signal: 1 (bullish): RSI-SMA > 50 -1 (bearish): RSI-SMA < 50 0 (neutral): RSI-SMA = 50 Non-Stationary Indicators These follow price movement and have no fixed boundaries. NorosTrendRibbonSMA() & NorosTrendRibbonEMA() Source: ROBO_Trading Parameters: Length: Moving average and channel period Source: Price source Logic: Creates a price channel based on the highest/lowest MA value over a specified period Signal: 1 (bullish): Price breaks above upper band -1 (bearish): Price breaks below lower band 0 (neutral): Price within channel (maintains last state) Difference: SMA version uses simple moving averages, EMA version uses exponential TrendBands() Source: starlord_xrp Parameters: src (price source) Logic: Uses 12 EMAs (9-30 period) and checks if all are rising or falling simultaneously Signal: 1 (bullish): All 12 EMAs are rising -1 (bearish): All 12 EMAs are falling 0 (neutral): Mixed signals Special Feature: Very strict conditions - extremely strong trend filter Vidya() - Variable Index Dynamic Average Source: loxx Parameters: source: Price source length: Main period histLength: Historical period for volatility calculation Logic: Adaptive moving average that adjusts to volatility Signal: 1 (bullish): VIDYA is rising -1 (bearish): VIDYA is falling VZO() - Volume Zone Oscillator Parameters: source: Price source length: Smoothing period volumesource: Volume data source Logic: Combines price and volume direction, calculates the ratio of directional volume to total volume Signal: 1 (bullish): VZO > 14.9 -1 (bearish): VZO < -14.9 0 (neutral): VZO between -14.9 and 14.9 TrendContinuation() Source: AlgoAlpha Parameters: malen: First HMA period malen1: Second HMA period theclose: Price source Logic: Uses two Hull Moving Averages for trend assessment with neutrality detection Signal: 1 (bullish): Uptrend without divergence -1 (bearish): Downtrend without divergence 0 (neutral): Trend and longer MA diverge LeonidasTrendFollowingSystem() Source: LeonidasCrypto Parameters: src: Price source shortlen: Short EMA period keylen: Long EMA period Logic: Simple dual EMA crossover system Signal: 1 (bullish): Short EMA < Key EMA -1 (bearish): Short EMA ≥ Key EMA ysanturtrendfollower() Source: ysantur Parameters: src: Price source depth: Depth of Fibonacci weighting smooth: Smoothing period bias: Percentage bias adjustment Logic: Complex system with Fibonacci-weighted moving averages and bias bands Signal: 1 (bullish): Weighted MA > smoothed MA (with upward bias) -1 (bearish): Weighted MA < smoothed MA (with downward bias) 0 (neutral): Within bias zone TRAMA() - Trend Regularity Adaptive Moving Average Source: LuxAlgo Parameters: src: Price source length: Adaptation period Logic: Adapts to trend regularity - accelerates in stable trends, slows in consolidations Signal: 1 (bullish): Price > TRAMA -1 (bearish): Price < TRAMA 0 (neutral): Price = TRAMA HullSuite() Source: InSilico Parameters: _length: Base period src: Price source _lengthMult: Length multiplier Logic: Uses Hull Moving Average with lagged comparisons for trend determination Signal: 1 (bullish): Current Hull > Hull 2 bars ago -1 (bearish): Current Hull < Hull 2 bars ago 0 (neutral): No change STC() - Schaff Trend Cycle Source: shayankm (described as "Better MACD") Parameters: length: Cycle period fastLength: Fast MACD period slowLength: Slow MACD period src: Price source Logic: Combines MACD concepts with stochastic normalization for early trend signals Signal: 1 (bullish): STC is rising -1 (bearish): STC is falling 🧮 Calculation Indicators These functions provide specialized mathematical calculations for advanced analysis. LCorrelation() - Long-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (30, 60, 90, 120, 150, 180) Returns: Correlation value between -1 and 1 Application: Long-term relationship analysis between assets, markets, or indicators MCorrelation() - Medium-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (15, 30, 45, 60, 75, 90) Returns: Correlation value between -1 and 1 Application: Medium-term relationship analysis with higher sensitivity assetBeta() - Beta Coefficient Creator: unicorpusstocks Parameters: measuredSymbol: The asset to be measured baseSymbol: The reference asset (e.g., market index) Logic: Calculates Beta across 4 different time horizons (50, 100, 150, 200 periods) Beta = Correlation × (Asset Standard Deviation / Market Standard Deviation) Returns the average of all 4 Beta values Returns: Beta value (typically 0-2, can be higher/lower) Interpretation: Beta = 1: Asset moves in sync with the market Beta > 1: Asset more volatile than market Beta < 1: Asset less volatile than market Beta < 0: Asset moves inversely to the market 💡 Usage Examples Example 1: Multi-Indicator Consensus pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 as lib // Combine multiple indicators signal1 = lib.BBPct(20, 2.0, close) signal2 = lib.RSI(14, close, 5) signal3 = lib.TRAMA(close, 50) // Consensus signal: At least 2 of 3 must agree consensus = (signal1 + signal2 + signal3) strongBuy = consensus >= 2 strongSell = consensus <= -2 Example 2: Correlation-Filtered Trading pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 as lib // Only trade when strong correlation with market exists spy = request.security("SPY", timeframe.period, close) correlation = lib.MCorrelation(close, spy) trendSignal = lib.NorosTrendRibbonEMA(50, close) // Only bullish signals with positive correlation tradeBuy = trendSignal == 1 and correlation > 0.5 tradeSell = trendSignal == -1 and correlation > 0.5 Example 3: Beta-Adjusted Position Sizing pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 as lib spy = request.security("SPY", timeframe.period, close) beta = lib.assetBeta(close, spy) // Adjust position size based on Beta basePositionSize = 100 adjustedSize = basePositionSize / beta // Less size with high Beta ⚙️ Technical Details Normalization Standard Bullish: 1 Bearish: -1 Neutral: 0 (only for selected indicators) Advantages of Normalization Simple Aggregation: Signals can be added/averaged Consistent Interpretation: No confusion about different scales Strategy Development: Simplified logic for backtesting Combinability: Seamlessly mix different indicator types Performance Considerations All functions are optimized for Pine Script v5 Proper use of var for state management Efficient array operations where needed Minimal recursive calls 📋 License This code is subject to the Mozilla Public License 2.0. More details at: mozilla.org 🎯 Use Cases This library is ideal for: Quantitative Traders: Systematic strategy development with unified signals Multi-Timeframe Analysis: Consensus across different timeframes Portfolio Managers: Beta and correlation analysis for diversification Algo Traders: Machine learning with standardized features Retail Traders: Simplified signal interpretation without deep technical knowledge 🔧 Installation pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 Then use the functions with your chosen alias: pinescriptlib.BBPct(20, 2.0, close) lib.RSI(14, close, 5) // etc. ⚠️ Important Notes All indicators are lagging, as is typical for trend-following indicators Signals should be combined with additional analysis (volume, support/resistance, etc.) Backtesting is recommended before starting live trading with these signals Different assets and timeframes may require different parameter optimizations This library provides a solid foundation for professional trading system design with the flexibility to develop your own complex strategies while abstracting away technical complexity.
Perpustakaan Pine Script®
oleh Unicorpus
CM_MACD_Ult_MTF + Entry SignalsThis script is an enhanced and updated version of the classic CM_Ult_MacD_MTF originally created by ChrisMoody. It preserves the full functionality, look, and behavior of the original multi-timeframe MACD, including: Multi-timeframe MACD calculation 4-color histogram based on momentum direction Optional MACD and Signal line display Optional crossover dots Color-changing MACD line on signal cross Zero-line reference This upgraded version adds entry signals based on MACD/Signal crossovers: New Features Added LONG @ price label when MACD crosses above Signal SHORT @ price label when MACD crosses below Signal Labels appear directly at the crossover point Full support for Pine Script® v6, making it compatible with TradingView’s latest publishing requirements Why this version? The original script was written in an older Pine version and was no longer publishable. This version keeps the full visual identity and logic of the classic MACD while adding modern compatibility and helpful trading signals. Credits Original concept and visual framework: ChrisMoody Added features, Pine v6 migration, and enhancements: tgambinox
Indikator Pine Script®
oleh tgambinox
TASC 2025.12 The One Euro Filter█ OVERVIEW This script implements the One Euro filter, developed by Georges Casiez, Nicolas Roussel, and Daniel Vogel, and adapted by John F. Ehlers in his article "Low-Latency Smoothing" from the December 2025 edition of the TASC Traders' Tips . The original creators gave the filter its name to suggest that it is cheap and efficient, like something one might purchase for a single Euro. █ CONCEPTS The One Euro filter is an EMA-based low-pass filter that adapts its smoothing factor (alpha) based on the absolute values of smoothed rates of change in the source series. It was designed to filter noisy, high-frequency signals in real time with low latency. Ehlers simplifies the filter for market analysis by calculating alpha in terms of bar periods rather than time and frequency, because periods are naturally intuitive for a discrete financial time series. In his article, Ehlers demonstrates how traders can apply the adaptive One Euro filter to a price series for simple low-latency smoothing. Additionally, he explains that traders can use the filter as a smoothed oscillator by applying it to a high-pass filter. In essence, similar to other low-pass filters, traders can apply the One Euro filter to any custom source to derive a smoother signal with reduced noise and low lag. This script applies the One Euro filter to a specified source series, and it applies the filter to a two-pole high-pass filter or other oscillator, depending on the selected "Osc type" option. By default, it displays the filtered source series on the main chart pane, and it shows the oscillator and its filtered series in a separate pane. █ INPUTS Source: The source series for the first filter and the selected oscillator. Min period: The minimum cutoff period for the smoothing calculation. Beta: Controls the responsiveness of the filter. The filter adds the product of this value and the smoothed source change to the minimum period to determine the filter's smoothing factor. Larger values cause more significant changes in the maximum cutoff period, resulting in a smoother response. Osc type: The type of oscillator to calculate for the pane display. By default, the indicator calculates a high-pass filter. If the selected type is "None", the indicator displays the "Source" series and its filtered result in a separate pane rather than showing the filter on the main chart. With this setting, users can pass plotted values from another indicator and view the filtered result in the pane. Period: The length for the selected oscillator's calculation.
Indikator Pine Script®
oleh PineCodersTASC
1
MTF Checklist DashboardMTF Checklist Dashboard Overview The MTF Checklist Dashboard is an advanced multi-timeframe analysis tool that provides traders with a comprehensive visual dashboard to analyze market conditions across six customizable timeframes simultaneously. This indicator combines multiple technical analysis methods, including Opening Range Breakouts (ORB), VWAP, EMAs, and daily price levels, to generate high-probability confluence-based trading signals.​ Unlike traditional single-timeframe indicators, this dashboard displays all critical information in one organized table, allowing traders to instantly identify when multiple timeframes align for optimal entry and exit opportunities.​ Key Features Multi-Timeframe Analysis Analyzes up to 6 timeframes simultaneously (default: 1m, 5m, 15m, 30m, 1h, 4h) Fully customizable timeframe selection via comma-separated input Color-coded cells for instant visual recognition (green=bullish, red=bearish, yellow=neutral)​ Technical Indicators Tracked Current and previous candle direction Opening Range Breakout (ORB) positioning with custom period VWAP relationship (above/below) 200 EMA positioning Daily and previous day high/low proximity EMA crossovers (9 vs 21, both vs 200)​ Advanced Signal Filtering System Confluence scoring: Requires multiple timeframes to align (3-6 timeframes) Higher timeframe confirmation: Ensures 30m/1h/4h agreement Volume filter: Confirms signals with above-average volume (1.5x default) ATR volatility filter: Validates sufficient market movement Session timing: Restricts signals to optimal trading hours (EST) Momentum confirmation: Requires recent directional strength Range positioning: Blocks signals near daily extremes Candle strength: Validates strong directional candles (60%+ body ratio)​ Visual Signals Optional entry arrows (above/below bars) Background color highlighting Organized dashboard with real-time price levels ORB range, current day, and previous day summary rows​ Alert Conditions JSON-formatted alerts for automated trading integration Separate alerts for long entry, short entry, long exit, and short exit Compatible with webhook automation systems​ How To Use Dashboard Interpretation The dashboard displays a color-coded table with the following columns:​ TF: Timeframe being analyzed C: Current candle (Green=bullish, Red=bearish) P: Previous candle (Green=bullish, Red=bearish) ORB: Opening Range Breakout position (A=Above, B=Below, W=Within) VWAP: Price vs VWAP (A=Above, B=Below) E200: Price vs 200 EMA (A=Above, B=Below) D Hi/Lo: Proximity to current day high/low (Hi/Lo/Mid) PD Hi/Lo: Proximity to previous day high/low (Hi/Lo/Mid) 9 vs 21: EMA 9 vs EMA 21 relationship (A=9 above 21, B=9 below 21) 9&21 v200: Both EMAs vs 200 EMA (>>=both above, <<=both below, <>=mixed) Signal Generation Long Entry Signal triggers when: Minimum number of timeframes show bullish alignment (default: 5 of 6) Higher timeframes (30m/1h/4h) confirm direction (default: 2 of 3) Price breaks above ORB high with sufficient distance Volume exceeds average by specified multiplier ATR shows adequate volatility Trade occurs during optimal session hours Recent momentum is upward Price not too close to daily high Strong bullish candle forms​ Short Entry Signal uses opposite conditions​ Exit Signals trigger when opposing timeframe confluence reaches threshold (default: 3 timeframes)​ Recommended Workflow Select your asset and primary trading timeframe Observe the dashboard - Look for rows showing mostly green (bullish) or red (bearish) Wait for alignment - The indicator will show arrows when confluence requirements are met Check the bottom rows - Review ORB levels and daily ranges for context Set alerts - Enable TradingView alerts using the built-in alert conditions Manage risk - Use appropriate position sizing and stop losses based on ORB range or daily ATR​ Settings Guide Basic Settings Timeframes: Enter comma-separated values (e.g., "1,5,15,30,60,240") Show Header: Toggle column headers on/off ORB Minutes: Set opening range period (default: 15 minutes) Near % for daily highs/lows: Define proximity threshold (default: 0.20%) Use close for comparisons: Compare using close vs current price Dashboard Position: Choose from 9 screen positions​ Confluence Filters Minimum Timeframes Aligned: Set required confluence (3-6, default: 5) Require Higher Timeframe Confirmation: Toggle HTF requirement on/off Min Higher Timeframes: Specify HTF agreement needed (1-3, default: 2)​ Volume Filter Volume Confirmation: Enable/disable volume filtering Volume vs Average: Set multiplier threshold (default: 1.5x) Volume Average Length: Period for volume average (default: 20 bars) Volatility Filter (ATR) Volatility Filter: Enable/disable ATR confirmation ATR Length: Calculation period (default: 14) Min ATR vs Average: Required ATR level (default: 0.5x = 50%) ORB Filters ORB Breakout Distance Required: Toggle distance requirement Min Breakout % Beyond ORB: Additional breakout threshold (default: 0.10%) Session Filter Trade Only During Best Hours: Enable time-based filtering Session 1: First trading window (default: 0930-1130 EST) Session 2: Second trading window (default: 1400-1530 EST) Momentum Filter Recent Momentum Required: Enable directional momentum check Lookback Bars: Period for momentum comparison (default: 3 bars) Daily Range Filter Block Signals Near Daily Extremes: Prevent entries at extremes Distance from High/Low %: Minimum distance required (default: 2.0%) Candle Filter Strong Directional Candle: Require candle strength Min Candle Body %: Body-to-range ratio threshold (default: 60%) Visual Signals Show Entry Signals: Master toggle for visual signals Show Arrows: Display entry arrows on chart Background Color: Enable background highlighting​ Best Practices Start with default settings and adjust based on your trading style and asset volatility Higher confluence requirements (5-6 timeframes) produce fewer but higher-quality signals Enable all filters for conservative trading; disable some for more frequent signals Use the dashboard as confirmation alongside your existing trading strategy Backtest on your specific instruments before live trading Consider market conditions—trending vs ranging markets may require different settings​ Alerts This indicator includes four alert conditions with JSON formatting for webhook integration:​ Long Entry Signal: Triggers when all long conditions are met Short Entry Signal: Triggers when all short conditions are met Long Exit Signal: Triggers when opposing confluence reaches exit threshold Short Exit Signal: Triggers when opposing confluence reaches exit threshold Alert messages include ticker symbol, action (buy/sell), price, and quantity for automated trading systems.​ Important Notes This indicator works best on liquid instruments with clear price action Highly volatile markets may require adjusted ATR and ORB distance settings Session times are in EST timezone—adjust if trading non-US markets The ORB calculation requires sufficient price history for the day Signals are generated in real-time but should be confirmed at candle close​ Limitations Maximum of 6 timeframes can be analyzed due to TradingView's security call limits ORB calculations may not work correctly on instruments with gaps or irregular sessions The indicator is most effective during regular market hours when volume and volatility are adequate Lower timeframes (1m, 5m) may produce more false signals in choppy conditions​ License Mozilla Public License 2.0 (MPL-2.0) This indicator is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute this code under the terms of the MPL-2.0. The full license text is available at mozilla.org Key license provisions: You may use this code commercially You may modify and distribute modified versions Modified versions must be released under the same license You must include the original license notice in any distributions No trademark rights are granted​ Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Trading involves substantial risk of loss. Always:​ Practice proper risk management Test thoroughly on paper/demo accounts before live trading Use appropriate position sizing Never risk more than you can afford to lose Consult with a financial advisor for personalized advice​ The creator assumes no liability for trading losses incurred using this indicator.​ Version: 2.0 Pine Script Version: v6 Author: © EliasVictor
Indikator Pine Script®
oleh EliasVictor
Previous Day & Week Highs and Lows 1.3Overlay indicator that plots horizontal lines for the previous day’s and previous week’s highs and lows. Lines extend until the next period starts, so you can see these levels throughout the current day or week. The indicator detects new daily and weekly sessions and draws lines at the previous period’s high and low. Daily levels use green (high) and red (low); weekly levels use blue (high) and magenta (low). You can toggle daily/weekly independently, customize colors, and adjust line width. It works on intraday timeframes and helps identify support/resistance and track breakouts relative to prior periods.
Indikator Pine Script®
oleh camren_browne
1
Sentiment Heatmap with EMA Sentiment Heatmap with EMA Let’s build a script mini-LuxAlgo-style sentiment heatmap Enhanced Simple Sentiment Heatmap + Right-Side Legend Automatic legend on the right side Just like professional indicators: MAX GREED GREED NEUTRAL FEAR MAX FEAR ✔ Legend stays updated on the last bar It moves automatically as price moves. ✔ Trend EMA included (optional) 9 EMA → White 20 EMA → Red 50 EMA → Yellow 100 EMA → Blue 200 EMA → Purple Alerts (e.g., “Max Fear – Buy Zone”) ✔ Liquidity line / support-resistance auto zones Full sentiment heatmap (Greed → Fear) ✔ Right-side legend like LuxAlgo ✔ All 5 EMAs added (my colors): EMA trend cloud (9/20, 20/50, 50/200) Buy/Sell circles based on sentiment reversals Right-side legend: MAX GREED / GREED / NEUTRAL / FEAR / MAX FEAR 5 EMAs: 9 → White 20 → Red 50 → Yellow 100 → Blue 200 → Purple
Indikator Pine Script®
oleh alexOprita
RSI Percentage - Current Candle Only - BHAFANTA FX **Title:** RSI Percentage - Current Candle Only - BHAFANTA FX **Description:** This indicator displays the **Relative Strength Index (RSI)** as a percentage for the **current candle only**, giving traders an immediate view of market momentum. Perfect for short-term analysis and quick decision-making, it avoids clutter by showing only the most relevant RSI value. **Key Features:** * Shows **RSI percentage of the current candle** only * Display is **clean and readable**, positioned above the current candle * Adjustable RSI length and source for flexibility * Designed for traders who want **fast, actionable insight** without visual clutter **Use Case:** * Ideal for **scalpers and intraday traders** who want to gauge overbought or oversold conditions quickly. * Can be combined with other indicators like EMA, MACD, or trend filters for more robust strategies. **Developer:** BHAFANTA FX
Indikator Pine Script®
oleh frimpongnicholas589
Smoothed VWAP Bands🎯 Best Smoothing Setting for Scalping (What You Should Use) Style σ Smoothing Result Fast scalping (1min) EMA 14 Very responsive, still filters noise Balanced intraday (1–5min) EMA 20 Best overall reliability Slow confirmation (5–15min) EMA 30 Eliminates nearly all fakeouts ✅ What We Are Actually Smoothing You are NOT smoothing VWAP itself. You are smoothing the standard deviation (σ) that creates the VWAP bands: ✔ What this does: * Computes the raw standard deviation (σ) of price relative to VWAP * Smooths that σ using EMA smoothing * Builds ±1 and ±2 bands using the smoothed σ * You get clean, stable bands that filter fakeouts ✔ Result: * Bands do NOT twitch in chop * Fakeouts are filtered * Real breakouts show obvious expansion
Indikator Pine Script®
oleh Simon20cent
Day Open ± Ø DailyRangeScript Function Description This indicator draws two horizontal dashed lines during the Regular Trading Hours (RTH) session. The upper line is calculated as the RTH Open price plus the average daily range (based on the last 10 days). The lower line is calculated as the RTH Open price minus the average daily range. 🔍 How it works Average Daily Range (ADR): The script requests daily candles and computes the 10‑day simple moving average of the daily range (High–Low). This value remains constant throughout the trading day. RTH Detection: The script identifies the first bar of the RTH session (e.g., 09:00 local exchange time). The open price of this bar is stored as the RTH Open. Line Creation: At the first RTH bar, two dashed lines are drawn: Green line above the RTH Open (Open + ADR). Red line below the RTH Open (Open – ADR). Dynamic Extension: As new bars appear, the lines are automatically extended to the current bar, keeping their Y‑values constant. This ensures the levels remain visible throughout the session. ✅ What Users See A green dashed line above the RTH Open, marking the typical upside boundary. A red dashed line below the RTH Open, marking the typical downside boundary. Both lines start at the first RTH bar and extend to the latest bar of the session. This helps traders quickly assess whether price action is staying within or breaking beyond the typical daily range relative to the RTH Open.
Indikator Pine Script®
oleh BaumFloh
Trade The Matric / MACD-RSI Hybrid Candles**"MACD-RSI Hybrid Candles"** is a **custom TradingView Pine Script (v6)** indicator that **replaces your chart’s default candles** with **dynamically colored, intensity-adjusted candles** based on **combined MACD and RSI signals**. It’s a **visual fusion** of: - **MACD Histogram** → Momentum & Trend Strength - **RSI** → Overbought/Oversold & Trend Confirmation - **Dynamic Transparency** → Visualizes **signal strength** The result? **At-a-glance confirmation of bullish/bearish phases** — no need to check subcharts. --- ## OVERVIEW: What This Indicator Does | Feature | Purpose | |-------|--------| | **Replaces price candles** | Entire chart becomes a **live MACD-RSI signal map** | | **Colors based on dual confirmation** | Only strong when **both** MACD and RSI agree | | **Transparency = momentum intensity** | Brighter = stronger signal | | **Labels & Alerts** | Highlights **phase changes** (bullish/bearish shifts) | --- ## USER INPUTS (Customizable) | Input | Default | Description | |------|--------|-----------| | `fastLen` | 12 | MACD Fast EMA | | `slowLen` | 26 | MACD Slow EMA | | `signalLen` | 9 | MACD Signal Line | | `rsiLen` | 14 | RSI Period | | `showLabels` | true | Show "Bullish Phase" / "Bearish Phase" labels | > Standard settings — tweak for sensitivity. --- ## CORE CALCULATIONS ### 1. **MACD** ```pinescript macdLine = ta.ema(close, fastLen) - ta.ema(close, slowLen) signalLine = ta.ema(macdLine, signalLen) hist = macdLine - signalLine ``` - `hist > 0` → **Bullish momentum** - `hist < 0` → **Bearish momentum** ### 2. **RSI** ```pinescript rsi = ta.rsi(close, rsiLen) ``` - `rsi > 50` → **Bullish bias** - `rsi < 50` → **Bearish bias** --- ## DUAL CONFIRMATION LOGIC | Condition | Meaning | |--------|--------| | `bullCond = macdBull and rsiBull` | **MACD hist > 0** AND **RSI > 50** → **Confirmed Bullish** | | `bearCond = macdBear and rsiBear` | **MACD hist < 0** AND **RSI < 50** → **Confirmed Bearish** | | Otherwise | **Neutral / Conflicted** | > Only **strong, aligned signals** get bright colors. --- ## DYNAMIC INTENSITY & TRANSPARENCY (Key Feature) ```pinescript maxHist = ta.highest(math.abs(hist), 100) intensity = math.abs(hist) / maxHist transp = 90 - (intensity * 80) ``` ### How It Works: 1. Finds **strongest MACD histogram value** in last 100 bars 2. Compares **current histogram** to that peak → `intensity` (0 to 1) 3. **Transparency scales from 90 (faint) → 10 (bright)** | Intensity | Transparency | Visual Effect | |---------|--------------|-------------| | 0% (weak) | 90 | Almost transparent | | 50% | 50 | Medium | | 100% | 10 | **Vivid, bold candle** | > **Brighter candle = stronger momentum relative to recent history** --- ## CANDLE COLOR LOGIC | Condition | Candle & Wick Color | Transparency | |--------|---------------------|------------| | **Confirmed Bullish** (`bullCond`) | **Lime Green** | Dynamic (10–90) | | **Confirmed Bearish** (`bearCond`) | **Red** | Dynamic (10–90) | | **Neutral / Conflicted** | **Gray** | Fixed 80 (faint) | > **Wicks and borders match body** → full candle takeover --- ## VISUAL OUTPUT ### 1. **Custom Candles** ```pinescript plotcandle(open, high, low, close, color=barColor, wickcolor=barColor, bordercolor=barColor) ``` - **Replaces default chart candles** - **No original candles visible** ### 2. **Labels (Optional)** - **"Bullish Phase"** → Green label **below low** when: - MACD histogram **crosses above zero** - AND RSI **> 50** - **"Bearish Phase"** → Red label **above high** when: - MACD histogram **crosses below zero** - AND RSI **< 50** > Up to **500 labels** (`max_labels_count=500`) --- ## ALERTS (Built-In) | Alert | Trigger | |------|--------| | **Bullish MACD-RSI Signal** | `ta.crossover(hist, 0) and rsi > 50` | | **Bearish MACD-RSI Signal** | `ta.crossunder(hist, 0) and rsi < 50` | > Message: *"MACD crossed above zero with RSI > 50 — Bullish phase."* --- ## HOW TO READ THE CHART | Visual | Market State | Interpretation | |-------|-------------|----------------| | **Bright Lime Candles** | **Strong Bullish Momentum** | High conviction — trend accelerating | | **Faint Lime Candles** | **Weak Bullish** | Momentum present but not strong | | **Bright Red Candles** | **Strong Bearish Momentum** | Downtrend with power | | **Faint Red Candles** | **Weak Bearish** | Selling pressure, but fading | | **Gray Candles** | **Conflicted / Choppy** | MACD and RSI disagree — avoid | | **"Bullish Phase" Label** | **New Uptrend Starting** | Entry signal | | **"Bearish Phase" Label** | **New Downtrend Starting** | Short signal | --- ## TRADING STRATEGY (Example) ### **Long Entry** 1. Wait for **"Bullish Phase" label** 2. Confirm **bright lime candles** (intensity > 50%) 3. Enter on **pullback to support** or **breakout** 4. **Stop Loss**: Below recent swing low 5. **Take Profit**: Trail with EMA or at resistance ### **Short Entry** 1. Wait for **"Bearish Phase" label** 2. Confirm **bright red candles** 3. Enter on **rally to resistance** > **Best in trending markets** — avoid choppy ranges. --- ## UNIQUE FEATURES | Feature | Benefit | |-------|--------| | **Dual Confirmation** | Avoids false MACD signals in overbought/oversold zones | | **Dynamic Transparency** | Shows **relative strength** — not just direction | | **Full Candle Replacement** | Clean, uncluttered chart | | **Phase Labels** | Marks **exact trend change points** | | **Built-in Alerts** | No extra setup needed | --- ## LIMITATIONS | Issue | Note | |------|------| | **Lagging by design** | MACD & RSI are reactive | | **Repainting?** | **No** — all on close | | **No volume filter** | Add separately for better accuracy | | **Labels can clutter** | Toggle off in choppy markets | | **Intensity uses 100-bar lookback** | May lag in very long trends | --- ## BEST USE CASES | Market | Timeframe | Style | |-------|----------|------| | Stocks, Forex, Crypto | 15m, 1H, 4H | Swing / Trend Following | | **Avoid**: Sideways markets | Yes | High noise = many gray candles | --- ## COMPARISON TO STANDARD MACD/RSI | Feature | This Indicator | Standard MACD + RSI | |-------|----------------|---------------------| | Visual | **Candles = signal** | Subchart lines | | Confirmation | Built-in dual logic | Manual | | Strength | Dynamic brightness | Histogram height | | Alerts | Phase changes | Need custom | | Chart Clutter | Low | High (two panels) | > **This is a "one-panel" momentum dashboard** --- ## SUMMARY: What This Indicator Does > **"MACD-RSI Hybrid Candles"** turns your **entire price chart into a live momentum heatmap** where: > > 1. **Candle color** = **MACD + RSI agreement** (Bullish / Bearish / Neutral) > 2. **Brightness** = **Momentum strength** vs. recent 100 bars > 3. **Labels & Alerts** = **Trend phase changes** (zero-line crosses with RSI filter) > > It **eliminates subcharts** and gives **instant visual confirmation** of: > - **Trend direction** > - **Momentum power** > - **High-probability entries** --- **Ideal for traders who want:** - **No indicator panels** - **Clear, color-coded signals** - **Strength at a glance** - **Automated alerts on trend shifts** --- **Pro Tip**: Use with **volume** or **support/resistance** for **higher win rate**.
Indikator Pine Script®
oleh Morpheus835
1
Previous Day & Week Highs and LowsOverlay indicator that plots horizontal lines for the previous day’s and previous week’s highs and lows. Lines extend until the next period starts, so you can see these levels throughout the current day or week. The indicator detects new daily and weekly sessions and draws lines at the previous period’s high and low. Daily levels use green (high) and red (low); weekly levels use blue (high) and magenta (low). You can toggle daily/weekly independently, customize colors, and adjust line width. It works on intraday timeframes and helps identify support/resistance and track breakouts relative to prior periods.
Indikator Pine Script®
oleh camren_browne