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Traffic Light MA — Trend IndicatorThis script displays a simple “traffic light” circle that reflects the market trend based on two moving averages (MA). -Green: Price > Fast MA > Slow MA → Uptrend confirmation -Yellow: Mixed conditions (transition zone) -Red: Slow MA > Fast MA > Price → Downtrend confirmation You can customize: -MA type (SMA or EMA) -Lengths of both MAs -Timeframe used for evaluation (e.g. Daily, 4H, Weekly) This tool is designed for traders who prefer a minimalistic chart, showing only a clean color signal instead of multiple lines. Recommendation: For small MAs (8,15,21) use EMA, for big MAs (50,100,200) use SMA
Pine Script® göstergesi
Luigui_Herrera tarafından
Multi-Timeframe EMA Trend Dashboard with Volume and RSI Filters═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME EMA TREND DASHBOARD ═══════════════════════════════════════════════════════════ OVERVIEW This indicator provides a comprehensive view of trend direction across multiple timeframes using the classic EMA 20/50 crossover methodology, enhanced with volume confirmation and RSI filtering. It aggregates trend information from six timeframes into a single dashboard for efficient market analysis. The indicator is designed for educational purposes and to assist traders in identifying potential trend alignments across different time horizons. ═══════════════════════════════════════════════════════════ FEATURES ═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME ANALYSIS • Monitors 6 timeframes simultaneously: 1m, 5m, 15m, 1H, 4H, 1D • Each timeframe analyzed independently using request.security() • Non-repainting implementation with proper lookahead settings • Calculates overall trend strength as percentage of bullish timeframes EMA CROSSOVER SYSTEM • Fast EMA (default: 20) and Slow EMA (default: 50) • Bullish: Fast EMA > Slow EMA • Bearish: Fast EMA < Slow EMA • Neutral: Fast EMA = Slow EMA (rare condition) • Visual EMA plots with optional fill area VOLUME CONFIRMATION • Optional volume filter for crossover signals • Compares current volume against moving average (default: 20-period SMA) • Categorizes volume as: High (>1.5x average), Normal (>average), Low (70), oversold (<30), and neutral zones • Used in quality score calculation • Optional display toggle SUPPORT & RESISTANCE DETECTION • Automatic detection using highest/lowest over lookback period (default: 50 bars) • Plots resistance (red), support (green), and mid-level (gray) • Step-line style for clear visualization • Optional display toggle QUALITY SCORING SYSTEM • Rates trade setups from 1-5 stars • Considers: MTF alignment, volume confirmation, RSI positioning • 5 stars: 4+ timeframes aligned + volume confirmed + RSI 50-70 • 4 stars: 4+ timeframes aligned + volume confirmed • 3 stars: 3+ timeframes aligned • 2 stars: Exactly 3 timeframes aligned • 1 star: Other conditions VISUAL DASHBOARD • Clean table display (position customizable) • Color-coded trend indicators (green/red/yellow) • Extended statistics panel (toggleable) • Shows: Trends, Strength, Quality, RSI, Volume, Price Distance ═══════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════ CALCULATIONS Trend Determination per Timeframe: • request.security() fetches EMA values with gaps=off, lookahead=off • Compares Fast EMA vs Slow EMA • Returns: 1 (bullish), -1 (bearish), 0 (neutral) Trend Strength: • Counts number of bullish timeframes • Formula: (bullish_count / 6) × 100 • Range: 0% (all bearish) to 100% (all bullish) Price Distance from EMA: • Formula: ((close - EMA) / EMA) × 100 • Positive: Price above EMA • Negative: Price below EMA • Warning when absolute distance > 5% ANTI-REPAINTING MEASURES • All request.security() calls use lookahead=barmerge.lookahead_off • Dashboard updates only on barstate.islast • Historical bars remain unchanged • Crossover signals finalize on bar close ═══════════════════════════════════════════════════════════ USAGE GUIDE ═══════════════════════════════════════════════════════════ INTERPRETING THE DASHBOARD Timeframe Rows: • Each row shows individual timeframe trend status • Look for alignment (multiple timeframes same direction) • Higher timeframes generally more significant Strength Indicator: • >66.67%: Strong bullish (4+ timeframes bullish) • 33.33-66.67%: Mixed/choppy conditions • <33.33%: Strong bearish (4+ timeframes bearish) Quality Score: • Higher stars = better confluence of factors • 5-star setups have strongest multi-factor confirmation • Lower scores may indicate weaker or conflicting signals SUGGESTED APPLICATIONS Trend Confirmation: • Check if multiple timeframes confirm current chart trend • Higher agreement = stronger trend confidence • Use for position sizing decisions Entry Timing: • Wait for EMA crossover on chart timeframe • Confirm with higher timeframe alignment • Volume above average preferred • RSI not in extreme zones Divergence Detection: • When lower timeframes diverge from higher • May indicate trend exhaustion or reversal • Requires additional confirmation CUSTOMIZATION EMA Settings: • Adjust Fast/Slow lengths for different sensitivities • Shorter periods = more responsive, more signals • Longer periods = smoother, fewer signals • Common alternatives: 10/30, 12/26, 50/200 Volume Filter: • Enable for higher-quality signals (fewer false positives) • Disable in always-liquid markets or for more signals • Adjust MA length based on typical volume patterns Display Options: • Toggle EMAs, S/R levels, extended stats as needed • Choose dashboard position to avoid chart overlap • Adjust colors for visibility preferences ═══════════════════════════════════════════════════════════ ALERTS ═══════════════════════════════════════════════════════════ AVAILABLE ALERT CONDITIONS 1. Bullish EMA Cross (Volume Confirmed) 2. Bearish EMA Cross (Volume Confirmed) 3. Strong Bullish Alignment (4+ timeframes) 4. Strong Bearish Alignment (4+ timeframes) 5. Trend Strength Increasing (>16.67% jump) 6. Trend Strength Decreasing (>16.67% drop) 7. Excellent Trade Setup (5-star rating) Alert messages use standard placeholders: • {{ticker}} - Symbol name • {{close}} - Current close price • {{time}} - Bar timestamp ═══════════════════════════════════════════════════════════ LIMITATIONS & CONSIDERATIONS ═══════════════════════════════════════════════════════════ KNOWN LIMITATIONS • Lower timeframe data may not be available on all symbols • 1-minute data typically limited to recent history • request.security() subject to TradingView data limits • Dashboard requires screen space (may overlap on small screens) • More complex calculations may affect load time on slower devices NOT SUITABLE FOR • Highly volatile/illiquid instruments (many false signals) • News-driven markets during announcements • Automated trading without additional filters • Markets where EMA strategies don't perform well DOES NOT PROVIDE • Exact entry/exit prices • Stop-loss or take-profit levels • Position sizing recommendations • Guaranteed profit signals • Market predictions ═══════════════════════════════════════════════════════════ BEST PRACTICES ═══════════════════════════════════════════════════════════ RECOMMENDED USAGE ✓ Combine with price action analysis ✓ Use appropriate risk management ✓ Backtest on historical data before live use ✓ Adjust settings for specific market characteristics ✓ Wait for higher-quality setups in important trades ✓ Consider overall market context and fundamentals NOT RECOMMENDED ✗ Using as standalone trading system without confirmation ✗ Trading every signal without discretion ✗ Ignoring risk management principles ✗ Trading without understanding the methodology ✗ Applying to unsuitable markets/timeframes ═══════════════════════════════════════════════════════════ EDUCATIONAL BACKGROUND ═══════════════════════════════════════════════════════════ EMA CROSSOVER STRATEGY The Exponential Moving Average crossover is a classical trend-following technique: • Golden Cross: Fast EMA crosses above Slow EMA (bullish signal) • Death Cross: Fast EMA crosses below Slow EMA (bearish signal) • Widely used since the 1970s in various markets • More responsive than SMA due to exponential weighting MULTI-TIMEFRAME ANALYSIS Analyzing multiple timeframes helps traders: • Identify alignment between short and long-term trends • Reduce false signals from single-timeframe noise • Understand market context across different horizons • Make informed decisions about trade duration VOLUME ANALYSIS Volume confirmation adds reliability: • High volume suggests institutional participation • Low volume signals may indicate false breakouts • Volume precedes price in many market theories • Helps distinguish genuine moves from noise ═══════════════════════════════════════════════════════════ TECHNICAL IMPLEMENTATION ═══════════════════════════════════════════════════════════ CODE STRUCTURE • Organized in clear sections with proper commenting • Uses explicit type declarations (int, float, bool, color, string) • Constants defined at top (BULLISH=1, BEARISH=-1, etc.) • Functions documented with @function, @param, @returns • Follows PineCoders naming conventions (camelCase variables) PERFORMANCE OPTIMIZATION • var keyword for table (created once, not every bar) • Calculations cached where possible • Dashboard updates only on last bar • Minimal redundant security() calls SECURITY IMPLEMENTATION • Proper gaps and lookahead parameters • No future data leakage • Signals finalize on bar close • Historical bars remain static ═══════════════════════════════════════════════════════════ VERSION INFORMATION ═══════════════════════════════════════════════════════════ Current Version: 2.0 Pine Script Version: 5 Last Updated: 2024 Developed by: Zakaria Safri ═══════════════════════════════════════════════════════════ SETTINGS REFERENCE ═══════════════════════════════════════════════════════════ EMA SETTINGS • Fast EMA Length: 1-500 (default: 20) • Slow EMA Length: 1-500 (default: 50) VOLUME & MOMENTUM • Use Volume Confirmation: true/false (default: true) • Volume MA Length: 1-500 (default: 20) • Show RSI Levels: true/false (default: true) • RSI Length: 1-500 (default: 14) PRICE ACTION FEATURES • Show Price Distance: true/false (default: true) • Show Key Levels: true/false (default: true) • S/R Lookback Period: 10-500 (default: 50) DISPLAY SETTINGS • Show EMAs on Chart: true/false (default: true) • Fast EMA Color: customizable (default: cyan) • Slow EMA Color: customizable (default: orange) • EMA Line Width: 1-5 (default: 2) • Show Fill Between EMAs: true/false (default: true) • Show Crossover Signals: true/false (default: true) DASHBOARD SETTINGS • Position: Top Left/Right, Bottom Left/Right • Show Extended Statistics: true/false (default: true) ALERT SETTINGS • Alert on Multi-TF Alignment: true/false (default: true) • Alert on Trend Strength Change: true/false (default: true) ═══════════════════════════════════════════════════════════ RISK DISCLAIMER ═══════════════════════════════════════════════════════════ This indicator is provided for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell any security. IMPORTANT NOTICES: • Past performance does not indicate future results • All trading involves risk of capital loss • No indicator guarantees profitable trades • Always conduct independent research and analysis • Use proper risk management and position sizing • Consult a qualified financial advisor before trading • The developer assumes no liability for trading losses By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions. ═══════════════════════════════════════════════════════════ SUPPORT & CONTRIBUTIONS ═══════════════════════════════════════════════════════════ FEEDBACK WELCOME • Constructive comments appreciated • Bug reports help improve the indicator • Feature suggestions considered for future versions • Share your experience to help other users OPEN SOURCE This code is published as open source for the TradingView community to: • Learn from the implementation • Modify for personal use • Understand multi-timeframe analysis techniques If you find this indicator useful, please consider: • Leaving a thoughtful review • Sharing with other traders who might benefit • Following for future updates and releases ═══════════════════════════════════════════════════════════ ADDITIONAL RESOURCES ═══════════════════════════════════════════════════════════ RECOMMENDED READING • TradingView Pine Script documentation • PineCoders community resources • Technical analysis textbooks on moving averages • Multi-timeframe trading strategy guides • Risk management principles RELATED CONCEPTS • Trend following strategies • Moving average convergence/divergence • Multiple timeframe analysis • Volume-price relationships • Momentum indicators ═══════════════════════════════════════════════════════════ Thank you for using this indicator. Trade responsibly and continue learning! ═══════════════════════════════════════════════════════════
Pine Script® göstergesi
zakariasafri47 tarafından
IIR One-Pole Price Filter [BackQuant]IIR One-Pole Price Filter A lightweight, mathematically grounded smoothing filter derived from signal processing theory, designed to denoise price data while maintaining minimal lag. It provides a refined alternative to the classic Exponential Moving Average (EMA) by directly controlling the filter’s responsiveness through three interchangeable alpha modes: EMA-Length , Half-Life , and Cutoff-Period . Concept overview An IIR (Infinite Impulse Response) filter is a type of recursive filter that blends current and past input values to produce a smooth, continuous output. The "one-pole" version is its simplest form, consisting of a single recursive feedback loop that exponentially decays older price information. This makes it both memory-efficient and responsive , ideal for traders seeking a precise balance between noise reduction and reaction speed. Unlike standard moving averages, the IIR filter can be tuned in physically meaningful terms (such as half-life or cutoff frequency) rather than just arbitrary periods. This allows the trader to think about responsiveness in the same way an engineer or physicist would interpret signal smoothing. Why use it Filters out market noise without introducing heavy lag like higher-order smoothers. Adapts to various trading speeds and time horizons by changing how alpha (responsiveness) is parameterized. Provides consistent and mathematically interpretable control of smoothing, suitable for both discretionary and algorithmic systems. Can serve as the core component in adaptive strategies, volatility normalization, or trend extraction pipelines. Alpha Modes Explained EMA-Length : Classic exponential decay with alpha = 2 / (L + 1). Equivalent to a standard EMA but exposed directly for fine control. Half-Life : Defines the number of bars it takes for the influence of a price input to decay by half. More intuitive for time-domain analysis. Cutoff-Period : Inspired by analog filter theory, defines the cutoff frequency (in bars) beyond which price oscillations are heavily attenuated. Lower periods = faster response. Formula in plain terms Each bar updates as: yₜ = yₜ₋₁ + alpha × (priceₜ − yₜ₋₁) Where alpha is the smoothing coefficient derived from your chosen mode. Smaller alpha → smoother but slower response. Larger alpha → faster but noisier response. Practical application Trend detection : When the filter line rises, momentum is positive; when it falls, momentum is negative. Signal timing : Use the crossover of the filter vs its previous value (or price) as an entry/exit condition. Noise suppression : Apply on volatile assets or lower timeframes to remove flicker from raw price data. Foundation for advanced filters : The one-pole IIR serves as a building block for multi-pole cascades, adaptive smoothers, and spectral filters. Customization options Alpha Scale : Multiplies the final alpha to fine-tune aggressiveness without changing the mode’s core math. Color Painting : Candles can be painted green/red by trend direction for visual clarity. Line Width & Transparency : Adjust the visual intensity to integrate cleanly with your charting style. Interpretation tips A smooth yet reactive line implies optimal tuning — minimal delay with reduced false flips. A sluggish line suggests alpha is too small (increase responsiveness). A noisy, twitchy line means alpha is too large (increase smoothing). Half-life tuning often feels more natural for aligning filter speed with price cycles or bar duration. Summary The IIR One-Pole Price Filter is a signal smoother that merges simplicity with mathematical rigor. Whether you’re filtering for entry signals, generating trend overlays, or constructing larger multi-stage systems, this filter delivers stability, clarity, and precision control over noise versus lag, an essential tool for any quantitative or systematic trading approach.
Pine Script® göstergesi
BackQuant tarafından
MESA Adaptive Ehlers Flow | AlphaNattMESA Adaptive Ehlers Flow | AlphaNatt An advanced adaptive indicator based on John Ehlers' MESA (Maximum Entropy Spectrum Analysis) algorithm that automatically adjusts to market cycles in real-time, providing superior trend identification with minimal lag across all market conditions. 🎯 What Makes This Indicator Revolutionary? Unlike traditional moving averages with fixed parameters, this indicator uses Hilbert Transform mathematics to detect the dominant market cycle and adapts its responsiveness accordingly: Automatically detects market cycles using advanced signal processing MAMA (MESA Adaptive Moving Average) adapts from fast to slow based on cycle phase FAMA (Following Adaptive Moving Average) provides confirmation signals Dynamic volatility bands that expand and contract with cycle detection Zero manual optimization required - the indicator tunes itself 📊 Core Components 1. MESA Adaptive Moving Average (MAMA) The MAMA is the crown jewel of adaptive indicators. It uses the Hilbert Transform to measure the market's dominant cycle and adjusts its smoothing factor in real-time: During trending phases: Responds quickly to capture moves During choppy phases: Smooths heavily to filter noise Transition is automatic and seamless based on price action Parameters: Fast Limit: Maximum responsiveness (default: 0.5) - how fast the indicator can adapt Slow Limit: Minimum responsiveness (default: 0.05) - maximum smoothing during consolidation 2. Following Adaptive Moving Average (FAMA) The FAMA is a slower version of MAMA that follows the primary signal. The relationship between MAMA and FAMA provides powerful trend confirmation: MAMA > FAMA: Bullish trend in progress MAMA < FAMA: Bearish trend in progress Crossovers signal potential trend changes 3. Hilbert Transform Cycle Detection The indicator employs sophisticated DSP (Digital Signal Processing) techniques: Detects the dominant cycle period (1.5 to 50 bars) Measures phase relationships in the price data Calculates adaptive alpha values based on cycle dynamics Continuously updates as market character changes ⚡ Key Features Adaptive Alpha Calculation The indicator's "intelligence" comes from its adaptive alpha: Alpha dynamically adjusts between Fast Limit and Slow Limit based on the rate of phase change in the market cycle. Rapid phase changes trigger faster adaptation, while stable cycles maintain smoother response. Dynamic Volatility Bands Unlike static bands, these adapt to both ATR volatility AND the current cycle state: Bands widen when the indicator detects fast adaptation (trending) Bands narrow during slow adaptation (consolidation) Band Multiplier controls overall width (default: 1.5) Provides context-aware support and resistance Intelligent Color Coding Cyan: Bullish regime (MAMA > FAMA and price > MAMA) Magenta: Bearish regime (MAMA < FAMA and price < MAMA) Gray: Neutral/transitional state 📈 Trading Strategies Trend Following Strategy The MESA indicator excels at identifying and riding strong trends while automatically reducing sensitivity during choppy periods. Entry Signals: Long: MAMA crosses above FAMA with price closing above MAMA Short: MAMA crosses below FAMA with price closing below MAMA Exit/Management: Exit longs when MAMA crosses below FAMA Exit shorts when MAMA crosses above FAMA Use dynamic bands as trailing stop references Mean Reversion Strategy When price extends beyond the dynamic bands during established trends, look for bounces back toward the MAMA line. Setup Conditions: Strong trend confirmed by MAMA/FAMA alignment Price touches or exceeds outer band Enter on first sign of reversal toward MAMA Target: Return to MAMA line or opposite band Cycle-Based Swing Trading The indicator's cycle detection makes it ideal for swing trading: Enter on MAMA/FAMA crossovers Hold through the detected cycle period Exit on counter-crossover or band extremes Works exceptionally well on 4H to Daily timeframes 🔬 Technical Background The Hilbert Transform The Hilbert Transform is a mathematical operation used in signal processing to extract instantaneous phase and frequency information from a signal. In trading applications: Separates trend from cycle components Identifies the dominant market cycle without curve-fitting Provides leading indicators of trend changes MESA Algorithm Components Smoothing: 4-bar weighted moving average for noise reduction Detrending: Removes linear price trend to isolate cycles InPhase & Quadrature: Orthogonal components for phase measurement Homodyne Discriminator: Calculates instantaneous period Adaptive Alpha: Converts period to smoothing factor MAMA/FAMA: Final adaptive moving averages ⚙️ Optimization Guide Fast Limit (0.1 - 0.9) Higher values (0.5-0.9): More responsive, better for volatile markets and lower timeframes Lower values (0.1-0.3): Smoother response, better for stable markets and higher timeframes Default 0.5: Balanced for most applications Slow Limit (0.01 - 0.1) Higher values (0.05-0.1): Less smoothing during consolidation, more signals Lower values (0.01-0.03): Heavy smoothing during chop, fewer but cleaner signals Default 0.05: Good noise filtering while maintaining responsiveness Band Multiplier (0.5 - 3.0) Adjust based on instrument volatility Backtest to find optimal value for your specific market 1.5 works well for most forex and equity indices Consider higher values (2.0-2.5) for cryptocurrencies 🎨 Visual Interpretation The gradient visualization shows probability zones around the MESA line: MESA line: The adaptive trend center Band expansion: Indicates strong cycle detection and trending Band contraction: Indicates consolidation or ranging market Color intensity: Shows confidence in trend direction 💡 Best Practices Let it adapt: Give the indicator 50+ bars to properly calibrate to the market Combine timeframes: Use higher timeframe MESA for trend bias, lower for entries Respect the bands: Price rarely stays outside bands for extended periods Watch for compression: Narrow bands often precede explosive moves Volume confirmation: Combine with volume for higher probability setups 📊 Optimal Timeframes 15m - 1H: Day trading with Fast Limit 0.6-0.8 4H - Daily: Swing trading with Fast Limit 0.4-0.6 (recommended) Weekly: Position trading with Fast Limit 0.2-0.4 ⚠️ Important Considerations The indicator needs time to "learn" the market - avoid trading the first 50 bars after applying Extreme gap events can temporarily disrupt cycle calculations Works best in markets with detectable cyclical behavior Less effective during news events or extreme volatility spikes Consider the detected cycle period for position holding times 🔍 What Makes MESA Superior? Compared to traditional indicators: vs. Fixed MAs: Automatically adjusts to market conditions instead of using one-size-fits-all parameters vs. Other Adaptive MAs: Uses true DSP mathematics rather than simple volatility adjustments vs. Manual Optimization: Continuously re-optimizes itself in real-time vs. Lagging Indicators: Hilbert Transform provides earlier trend change detection 🎓 Understanding Adaptation The magic of MESA is that it solves the eternal dilemma of technical analysis: be fast and get whipsawed in chop, or be smooth and miss the early move. MESA does both by detecting when to be fast and when to be smooth. Adaptation in Action: Strong trend starts → MESA quickly detects phase change → Fast Limit kicks in → Early entry Trend continues → Phase stabilizes → MESA maintains moderate speed → Smooth ride Consolidation begins → Phase changes slow → Slow Limit engages → Whipsaw avoidance 🚀 Advanced Applications Multi-timeframe confluence: Use MESA on 3 timeframes for high-probability setups Divergence detection: Watch for MAMA/price divergences at band extremes Cycle period analysis: The internal period calculation can guide position duration Band squeeze trading: Narrow bands + MAMA/FAMA cross = high-probability breakout Created by AlphaNatt - Based on John Ehlers' MESA research. For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Pine Script® göstergesi
AlphaNatt tarafından
1
Arnaud Legoux Gaussian Flow | AlphaNattArnaud Legoux Gaussian Flow | AlphaNatt A sophisticated trend-following and mean-reversion indicator that combines the power of the Arnaud Legoux Moving Average (ALMA) with advanced Gaussian distribution analysis to identify high-probability trading opportunities. 🎯 What Makes This Indicator Unique? This indicator goes beyond traditional moving averages by incorporating Gaussian mathematics at multiple levels: ALMA uses Gaussian distribution for superior price smoothing with minimal lag Dynamic envelopes based on Gaussian probability zones Multi-layer gradient visualization showing probability density Adaptive envelope modes that respond to market conditions 📊 Core Components 1. Arnaud Legoux Moving Average (ALMA) The ALMA is a highly responsive moving average that uses Gaussian distribution to weight price data. Unlike simple moving averages, ALMA can be fine-tuned to balance responsiveness and smoothness through three key parameters: ALMA Period: Controls the lookback window (default: 21) Gaussian Offset: Shifts the Gaussian curve to adjust lag vs. responsiveness (default: 0.85) Gaussian Sigma: Controls the width of the Gaussian distribution (default: 6.0) 2. Gaussian Envelope System The indicator features three envelope calculation modes: Fixed Mode: Uses ATR-based fixed width for consistent envelope sizing Adaptive Mode: Dynamically adjusts based on price acceleration and volatility Hybrid Mode: Combines ATR and standard deviation for balanced adaptation The envelopes represent statistical probability zones. Price moving beyond these zones suggests potential mean reversion opportunities. 3. Momentum-Adjusted Envelopes The envelope width automatically expands during strong trends and contracts during consolidation, providing context-aware support and resistance levels. ⚡ Key Features Multi-Layer Gradient Visualization The indicator displays 10 gradient layers between the ALMA and envelope boundaries, creating a visual "heat map" of probability density. This helps traders quickly assess: Distance from the mean Potential support/resistance strength Overbought/oversold conditions in context Dynamic Color Coding Cyan gradient: Price below ALMA (bullish zone) Magenta gradient: Price above ALMA (bearish zone) The ALMA line itself changes color based on price position Trend Regime Detection The indicator automatically identifies market regimes: Strong Uptrend: Trend strength > 0.5% with price above ALMA Strong Downtrend: Trend strength < -0.5% with price below ALMA Weak trends and ranging conditions 📈 Trading Strategies Mean Reversion Strategy Look for price entering the extreme Gaussian zones (beyond 95% of envelope width) when trend strength is moderate. These represent statistical extremes where mean reversion is probable. Signals: Long: Price in lower Gaussian zone with trend strength > -0.5% Short: Price in upper Gaussian zone with trend strength < 0.5% Trend Continuation Strategy Enter when price crosses the ALMA during confirmed strong trend conditions, riding momentum while using the envelope as a trailing stop reference. Signals: Long: Price crosses above ALMA during strong uptrend Short: Price crosses below ALMA during strong downtrend 🎨 Visualization Guide The gradient layers create a "probability cloud" around the ALMA: Darker shades (near ALMA): High probability zone - price tends to stay here Lighter shades (near envelope edges): Lower probability - potential reversal zones Price at envelope extremes: Statistical outliers - strongest mean reversion setups ⚙️ Customization Options ALMA Parameters Adjust period for different timeframes (lower for day trading, higher for swing trading) Modify offset to tune responsiveness vs. smoothness Change sigma to control distribution width Envelope Configuration Choose envelope mode based on market characteristics Adjust multiplier to match instrument volatility Modify gradient depth for visual preference (5-15 layers) Signal Enhancement Momentum Length: Lookback for trend strength calculation Signal Smoothing: Additional EMA smoothing to reduce noise 🔔 Built-in Alerts The indicator includes six pre-configured alert conditions: ALMA Trend Long - Price crosses above ALMA in strong uptrend ALMA Trend Short - Price crosses below ALMA in strong downtrend Mean Reversion Long - Price enters lower Gaussian zone Mean Reversion Short - Price enters upper Gaussian zone Strong Uptrend Detected - Momentum confirms strong bullish regime Strong Downtrend Detected - Momentum confirms strong bearish regime 💡 Best Practices Use on clean, liquid markets with consistent volatility Combine with volume analysis for confirmation Adjust envelope multiplier based on backtesting for your specific instrument Higher timeframes (4H+) generally provide more reliable signals Use adaptive mode for trending markets, hybrid for mixed conditions ⚠️ Important Notes This indicator works best in markets with normal price distribution Extreme news events can invalidate Gaussian assumptions temporarily Always use proper risk management - no indicator is perfect Backtest parameters on your specific instrument and timeframe 🔬 Technical Background The Arnaud Legoux Moving Average was developed to solve the classic dilemma of moving averages: the trade-off between lag and noise. By applying Gaussian distribution weighting, ALMA achieves superior smoothing while maintaining responsiveness to price changes. The envelope system extends this concept by creating probability zones based on volatility and momentum, effectively mapping where price is "likely" vs "unlikely" to be found based on statistical principles. Created by AlphaNatt - For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Pine Script® göstergesi
AlphaNatt tarafından
1
Earnings Day - Price Predictor [DunesIsland]It's designed to analyze and visualize historical stock price movements on earnings report days, focusing on percentage changes. Here's a breakdown of what it does, step by step: Key Inputs and Setup User Input: There's a single input for "Lookback Years" (default: 10), which determines how far back in time (approximately) the indicator analyzes earnings data. It uses a rough calculation of milliseconds in that period to filter historical data. Data Fetching: It uses TradingView's request.earnings function to pull actual earnings per share (EPS) data for the current ticker. Earnings days are identified where EPS data exists on a bar but not on the previous one (to avoid duplicates). Price Change Calculation: For each detected earnings day, it computes the percentage price movement as (close - close ) / close * 100, representing the change from the previous close to the current close on that day. Processing and Calculations (on the Last Bar) Lookback Filter: It calculates a cutoff timestamp for the lookback period and processes only earnings events within that window. Overall Averages: Separates positive (≥0%) and negative (<0%) percentage changes. Seasonality (Next Quarter Prediction): Identifies the most recent earnings quarter (latest_q). Predicts the "next" quarter (e.g., if latest is Q4, next is Q1; Again, separates positive and negative changes, computing their respective averages. Visual Outputs Lookback: How far to fetch the data in years. Average Change (Green): Showing the average of all positive changes. Average Change (Red): Showing the average of all negative changes. Seasonality Change (Green): Showing the average of positive changes for the predicted next quarter. Seasonality Change (Red): Showing the average of negative changes for the predicted next quarter. Purpose and Usage This indicator helps traders assess a stock's historical reaction to earnings announcements. The overall averages give a broad sense of typical gains/losses, while the seasonality focuses on quarter-specific trends to "predict" potential movement for the upcoming earnings (based on past same-quarter performance). It's best used on daily charts for stocks with reliable earnings data. Note that quarter inference is calendar-based and may not perfectly match fiscal calendars for all companies—it's an approximation.
Pine Script® göstergesi
dunesisland tarafından
MTF 200 SMAMulti-Timeframe (MTF) 200 SMA: Your Universal Trend Guide Tired of switching timeframes just to check the major moving averages? The MTF 200 SMA indicator is a powerful, customizable tool designed to give you a clear, comprehensive view of the trend across multiple timeframes, all on a single chart. It's built on Pine Script v6 for stability and performance. Key Features: 9 MTF Lines: Simultaneously plot the 200 Simple Moving Average (SMA) for 30m, 1h, 2h, 3h, 4h, 6h, 8h, Daily, and Weekly charts. Understand the overall market structure at a glance. Single-Click Toggle: Use the 'Current Chart TF Only' checkbox to instantly switch from the crowded MTF view to showing only the standard 200 SMA for your current chart resolution. Perfect for focusing on immediate price action. Dynamic Highlighting: The 'Highlight Current Chart TF' option (default ON) emphasizes the SMA corresponding to your current chart, making it stand out with a bright Aqua color and a thicker line when in MTF mode. Full Customization: Easily adjust the SMA Length and the MTF SMA Line Color directly in the indicator settings. How to Use It: Trend Confirmation: When all MTF lines (especially the Daily and Weekly) are aligned and moving in the same direction, it provides high-confidence trend confirmation. Dynamic S/R: The MTF SMAs often act as strong dynamic Support and Resistance levels, even when viewing a lower timeframe like the 5-minute chart. Clean Analysis: Use the 'Current Chart TF Only' option when you need to declutter your chart and focus on the primary trend of your active trading session. Elevate your trend analysis today with the MTF 200 SMA!
Pine Script® göstergesi
High-potential tarafından
Puell Multiple Variants [OperationHeadLessChicken]Overview This script contains three different, but related indicators to visualise Bitcoin miner revenue. The classical Puell Multiple : historically, it has been good at signaling Bitcoin cycle tops and bottoms, but due to the diminishing rewards miners get after each halving, it is not clear how you determine overvalued and undervalued territories on it. Here is how the other two modified versions come into play: Halving-Corrected Puell Multiple : The idea is to multiply the miner revenue after each halving with a correction factor, so overvalued levels are made comparable by a horizontal line across cycles. After experimentation, this correction factor turned out to be around 1.63. This brings cycle tops close to each other, but we lose the ability to see undervalued territories as a horizontal region. The third variant aims to fix this: Miner Revenue Relative Strength Index (Miner Revenue RSI) : It uses RSI to map miner revenue into the 0-100 range, making it easy to visualise over/undervalued territories. With correct parameter settings, it eliminates the diminishing nature of the original Puell Multiple, and shows both over- and undervalued revenues correctly. Example usage The goal is to determine cycle tops and bottoms. I recommend using it on high timeframes, like monthly or weekly . Lower than that, you will see a lot of noise, but it could still be used. Here I use monthly as the example. The classical Puell Multiple is included for reference. It is calculated as Miner Revenue divided by the 365-day Moving Average of the Miner Revenue . As you can see in the picture below, it has been good at signaling tops at 1,3,5,7. The problems: - I have to switch the Puell Multiple to a logarithmic scale - Still, I cannot use a horizontal oversold territory - 5 didn't touch the trendline, despite being a cycle top - 9 touched the trendline despite not being a cycle top Halving-Corrected Puell Multiple (yellow): Multiplies the Puell Multiple by 1.63 (a number determined via experimentation) after each halving. In the picture below, you can see how the Classical (white) and Corrected (yellow) Puell Multiples compare: Advantages: - Now you can set a constant overvalued level (12.49 in my case) - 1,3,7 are signaled correctly as cycle tops - 9 is correctly not signaled as a cycle top Caveats: - Now you don't have bottom signals anymore - 5 is still not signaled as cycle top Let's see if we can further improve this: Miner Revenue RSI (blue): On the monthly, you can see that an RSI period of 6, an overvalued threshold of 90, and an undervalued threshold of 35 have given historically pretty good signals. Advantages: - Uses two simple and clear horizontal levels for undervalued and overvalued levels - Signaling 1,3,5,7 correctly as cycle tops - Correctly does not signal 9 as a cycle top - Signaling 4,6,8 correctly as cycle bottoms Caveats: - Misses two as a cycle bottom, although it was a long time ago when the Bitcoin market was much less mature - In the past, gave some early overvalued signals Usage Using the example above, you can apply these indicators to any timeframe you like and tweak their parameters to obtain signals for overvalued/undervalued BTC prices You can show or hide any of the three indicators individually Set overvalued/undervalued thresholds for each => the background will highlight in green (undervalued) or red (overvalued) Set special parameters for the given indicators: correction factor for the Corrected Puell and RSI period for Revenue RSI Show or hide halving events on the indicator panel All parameters and colours are adjustable
Pine Script® göstergesi
OperationHeadLessChicken tarafından
ORBs, EMAs, SMAs, AVWAPThis is an update to a previously published script. In short the difference is the added capability to adjust the length of EMAs. Also added 3 customizable SMAs. Enjoy! Let me know what you think of the script please. This is only second one I have ever done. Through practice and people like @LuxAlgo and other Pinescripters this isn't possible. Tedious hrs with ChatGPT to correct nuances, who doesnt seem to learn from (insert pronoun) mistakes This all-in-one indicator combines key institutional tools into a unified framework for intraday and swing trading. Designed for traders who use multi-session analysis and dynamic levels, it automatically maps out global session breakouts, moving averages, and volume-weighted anchors with high clarity. Features include: 🕓 Tokyo, London, and New York ORBs (Opening Range Breakouts) — 30-minute configurable range boxes that persist until the next New York open. 📈 Anchored VWAP with Standard Deviation Bands — dynamically anchorable to session, week, or month for institutional-grade price tracking. 📊 Exponential Moving Averages (9, 20, 113, 200) — for short-, mid-, and long-term momentum structure. 📉 Simple Moving Averages (20, 50, 100) — fully customizable lengths, colors, and visibility toggles for trend confirmation. 🏁 Prior High/Low Levels (PDH/PDL, PWH/PWL, PMH/PML) — automatically plotted from previous day, week, and month, with labels placed at each session’s midpoint. 🎛️ Session-Aligned Time Logic — all time calculations use New York session anchors with DST awareness. 💡 Clean Visualization Options — every component can be toggled on/off, recolored, or customized for your workflow. Best used for: ORB break-and-retest setups VWAP and EMA rejections Confluence-based trading around key session levels Multi-session momentum tracking
Pine Script® göstergesi
nh311009 tarafından
1
Key Levels (PA, MAs, VWAPs, Volume Profile, rVWAPs)This indicator marks all kinds of key levels so that users can keep an overview of their specified levels in a convenient non chart cluttering way. It can highlight levels of confluence or display each level seperately. The indicator includes markers for the following levels: Price Action: Opens, Previous High/Low, Monday Range Moving Averages: H4, D1 and W1 with customisable lengths VWAPs: Developing and Previous VWAPs with their respective VAL/VAH (1 Standard Deviation) Rolling VWAPs Volume Profile: Developing and Previous VAL/VAH/POC What makes this indicator different is its vast customisation options and big library of levels… … users can choose to merge all levels that are aligned in a specified % threshold and additionally they can choose to color them the same color to highlight confluence levels. … users have the choice between Full Label Markers or Abbreviations of those Labels. … users have the choice of a few presets making level switching fast and convenient (Price Action, Volume Profile, VWAP, Volume or Custom). … users can specify if they prefer to highlight Simple Moving Averages or Exponential Moving Averages. They have calculations available on three different timeframes and can change the lengths of each. … users can color all levels the same with one click instead of having to manually change all of them. … when users choose Volume Profile Levels they can either let the script auto calculate the row size making asset switching simple or they can manually input row size. With the custom preset users can show and hide whichever levels they want. (To have them the same every time you freshly load the indicator save your settings as default in the lower left corner of the settings tab). Purpose This indicator is designed to serve as a level visualisation tool that has the ability to highlight levels of confluence. It may assist in keeping an overview of where all levels are currently located but does not produce signals or trade recommendations.
Pine Script® göstergesi
VEGAlgo tarafından
Portfolio Strategy TesterThe Portfolio Strategy Tester is an institutional-grade backtesting framework that evaluates the performance of trend-following strategies on multi-asset portfolios. It enables users to construct custom portfolios of up to 30 assets and apply moving average crossover strategies across individual holdings. The model features a clear, color-coded table that provides a side-by-side comparison between the buy-and-hold portfolio and the portfolio using the risk management strategy, offering a comprehensive assessment of both approaches relative to the benchmark. Portfolios are constructed by entering each ticker symbol in the menu, assigning its respective weight, and reviewing the total sum of individual weights displayed at the top left of the table. For strategy selection, users can choose between Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), Moving Average Convergence Divergence (MACD), and Volume-Weighted Moving Average (VWMA). Moving average lengths are defined in the menu and apply only to strategy-enabled assets. To accurately replicate real-world portfolio conditions, users can choose between daily, weekly, monthly, or quarterly rebalancing frequencies and decide whether cash is held or redistributed. Daily rebalancing maintains constant portfolio weights, while longer intervals allow natural drift. When cash positions are not allowed, capital from bearish assets is automatically redistributed proportionally among bullish assets, ensuring the portfolio remains fully invested at all times. The table displays a comprehensive set of widely used institutional-grade performance metrics: CAGR = Compounded annual growth rate of returns. Volatility = Annualized standard deviation of returns. Sharpe = CAGR per unit of annualized standard deviation. Sortino = CAGR per unit of annualized downside deviation. Calmar = CAGR relative to maximum drawdown. Max DD = Largest peak-to-trough decline in value. Beta (β) = Sensitivity of returns relative to benchmark returns. Alpha (α) = Excess annualized risk-adjusted returns relative to benchmark. Upside = Ratio of average return to benchmark return on up days. Downside = Ratio of average return to benchmark return on down days. Tracking = Annualized standard deviation of returns versus benchmark. Turnover = Average sum of absolute changes in weights per year. Cumulative returns are displayed on each label as the total percentage gain from the selected start date, with green indicating positive returns and red indicating negative returns. In the table, baseline metrics serve as the benchmark reference and are always gray. For portfolio metrics, green indicates outperformance relative to the baseline, while red indicates underperformance relative to the baseline. For strategy metrics, green indicates outperformance relative to both the baseline and the portfolio, red indicates underperformance relative to both, and gray indicates underperformance relative to either the baseline or portfolio. Metrics such as Volatility, Tracking Error, and Turnover ratio are always displayed in gray as they serve as descriptive measures. In summary, the Portfolio Strategy Tester is a comprehensive backtesting tool designed to help investors evaluate different trend-following strategies on custom portfolios. It enables real-world simulation of both active and passive investment approaches and provides a full set of standard institutional-grade performance metrics to support data-driven comparisons. While results are based on historical performance, the model serves as a powerful portfolio management and research framework for developing, validating, and refining systematic investment strategies.
Pine Script® göstergesi
QuantitativeAlpha tarafından
MA Oscillator Map [ChartPrime]⯁ OVERVIEW The MA Oscillator Map transforms moving average deviations into an oscillator framework that highlights overextended price conditions. By normalizing the difference between price and a chosen moving average, the tool maps oscillations between -100 and +100 , with gradient coloring to emphasize bullish and bearish momentum. When the oscillator cools from extreme levels (-100/100), the indicator marks potential reversal points and extends short-term levels from those extremes. A compact side table and dynamic bar coloring make momentum context visible at a glance. ⯁ KEY FEATURES Oscillator Mapping (±100 Scale): Price deviation from the selected MA is normalized into a percentage scale, allowing consistent overbought/oversold readings across assets and timeframes. // MA MA = ma(close, maLengthInput, maTypeInput) diff = src - MA maxVal = ta.highest(math.abs(diff), 50) osc = diff / maxVal * 100 Customizable MA Types: Choose SMA, EMA, SMMA, WMA, or VWMA to fine-tune the smoothing method that powers the oscillator. Extreme Signal Diamonds: When the oscillator retreats from +100 or -100, the script plots diamonds to flag potential exhaustion and reversal zones. Dynamic Levels from Extremes: Upper and lower dotted lines extend from recent overextension points, projecting temporary barriers until broken by price. Gradient Bar Coloring: Candles and oscillator values adopt a bullish-to-bearish gradient, making shifts in momentum instantly visible on the chart. Compact Momentum Map: A table at the chart’s edge plots the oscillator position with a gradient scale and live percentage label for precise momentum tracking. ⯁ USAGE Watch for diamonds after the oscillator exits ±100 — these mark potential exhaustion zones. Use extended dotted levels as short-term reference lines; if broken, trend continuation is favored. Combine gradient bar coloring with oscillator shifts for confirmation of momentum reversals. Experiment with different MA types to adapt sensitivity for trending vs. ranging markets. Use the side momentum table as a quick-read gauge of trend strength in percent terms. ⯁ CONCLUSION The MA Oscillator Map reframes moving average deviations into a visual momentum tracker with extremes, reversal signals, and dynamic levels. By blending oscillator math with intuitive visuals like gradient candles, diamonds, and a live gauge, it helps traders spot overextension, exhaustion, and momentum shifts across any market.
Pine Script® göstergesi
ChartPrime tarafından
13
SuperTrend MAAfter building SuperBands, I kept thinking about what happens at the midpoint between those two volatility-adaptive envelopes. The upper and lower bands are both trailing price based on ATR and EMA smoothing, but they're operating independently in opposite directions. Taking their average seemed like it might produce an interesting centerline that adapts to volatility in a way that regular moving averages don't. Turns out it does, and that's what this indicator is. The core concept is straightforward. Instead of plotting the upper and lower SuperBands separately, this calculates both of them internally, averages their values, and then applies an additional smoothing pass with EMA to create a single centerline. That centerline sits roughly in the middle of where the bands would be, but because it's derived from ATR-offset trailing stops rather than direct price smoothing, it behaves differently than a standard moving average of the same length. During trending periods, the centerline tracks closer to price because one of the underlying bands is actively trailing while the other is dormant. During consolidation, both bands compress toward price and the centerline tends to oscillate more with shorter-term movements. What's interesting is that this acts like a supertrend all by itself with directional behavior baked in. When one of the underlying supertrend waves dominates, meaning price is strongly trending in one direction and only one band is active, you get what feels like a "true" supertrend, whatever that means exactly. The centerline locks into trend-following mode and the color gradient reflects that commitment. You get bright bullish colors during sustained uptrends when the upper band is doing all the work, and strong bearish colors during downtrends when the lower band dominates. But when both bands are active and fighting for control, which happens during consolidation or choppy conditions, the centerline settles into more neutral tones that clearly signal you're in a ranging environment. The colors really do emphasize this behavior and make it visually obvious which regime you're in. The smoothing parameter controls how aggressively the underlying SuperBand trails adapt to price, which indirectly affects how responsive the centerline is. Lower values make the bands tighter and more reactive, so the centerline follows price action more closely. Higher values create wider bands that only respond to sustained moves, which produces a smoother centerline that filters out more noise. The center smoothing parameter applies a second EMA pass specifically to the averaged midpoint, giving you independent control over how much additional lag you want on the final output versus the raw band average. What makes this different from just slapping an EMA on price is that the underlying bands are already volatility-aware through their ATR calculations. When volatility spikes, the bands widen and the centerline adjusts its position relative to price based on where those bands settle. A traditional moving average would just smooth over the volatility spike without adjusting its distance from price. This approach incorporates volatility information into the centerline's positioning, which can help it stay relevant during regime changes where fixed-period moving averages tend to lag badly or whipsaw. The color gradient adds a momentum overlay using the same angle-based calculation from SuperBands. The centerline's rate of change gets normalized by an RMS estimate of its historical movement range, converted to an angle through arctangent scaling, and then mapped to a color gradient. When the centerline is rising, it gradients from neutral toward your chosen bullish color, with brightness increasing as the rate of ascent steepens. When falling, it shifts toward the bearish color with intensity tied to the descent rate. This gives you an immediate visual sense of whether the centerline is accelerating, decelerating, or moving at a stable pace. Configuration is simpler than SuperBands since you're only dealing with a single output line instead of separate bull and bear envelopes. The length parameter controls the underlying band behavior. ATR period and multiplier determine how much space the bands allocate around price before they trail. Center smoothing adds the extra EMA pass on the averaged midpoint. You can tune these independently to get different characteristics. A tight ATR multiplier with heavy center smoothing creates a smooth line that stays close to price. A wide multiplier with light center smoothing produces a line that swings more freely and adapts faster to directional changes. From a practical standpoint, this works well as a trend filter or dynamic support and resistance reference. Price above the centerline with bullish coloring suggests a favorable environment for long positions. Price below with bearish coloring indicates the opposite. Crossovers can signal trend changes, though like any moving average system, you'll get whipsaws in choppy conditions. The advantage over traditional MAs is that the volatility adaptation tends to reduce false signals during transitional periods where volatility is expanding but direction hasn't fully committed. The implementation reuses the entire SuperBands logic, which means all the smoothing and state management for the trailing stops is identical. The only addition is averaging the two band outputs and applying the final EMA pass. The color calculation follows the same RMS-normalized angle approach but applies it to the centerline's delta rather than the individual band deltas. This keeps the coloring consistent with how SuperBands handles momentum visualization while adapting it to a single line instead of dual envelopes. What this really highlights is that you can derive moving averages from mechanisms other than direct price smoothing. By building the centerline from volatility-adjusted trailing stops, you get adaptive behavior that responds to both price movement and volatility regime without needing separate inputs or complex multi-stage calculations. Whether that adaptation provides a meaningful edge depends on your strategy and market, but it's a fundamentally different approach than the typical fixed-period or adaptive MAs that adjust length based on volatility or momentum indicators.
Pine Script® göstergesi
The_Peaceful_Lizard tarafından
2
N Order EMAThe exponential moving average is one of the most fundamental tools in technical analysis, but its implementation is almost always locked to a single mathematical approach. I've always wanted to extend the EMA into an n-order filter, and after some time working through the digital signal processing mathematics, I finally managed to do it. This indicator takes the familiar EMA concept and opens it up to four different discretization methods, each representing a valid way to transform a continuous-time exponential smoother into a discrete-time recursive filter. On top of that, it includes adjustable filter order, which fundamentally changes the frequency response characteristics in ways that simply changing the period length cannot achieve. The four discretization styles are impulse-matched, all-pole, matched z-transform, and bilinear (Tustin). The all-pole version is exactly like stacking multiple EMAs together but implemented in a single function with proper coefficient calculation. It uses a canonical form where you get one gain coefficient and the rest are zeros, with the feedback coefficients derived from the binomial expansion of the pole polynomial. The other three methods are attempts at making generalizations of the EMA in different ways. Impulse-matched creates the filter by matching the discrete-time impulse response to what the continuous EMA would produce. Matched z-transform directly maps the continuous poles to the z-domain using the exponential relationship. Bilinear uses the Tustin transformation with frequency prewarping to ensure the cutoff frequency is preserved despite the inherent warping of the mapping. Honestly, they're all mostly the same in practice, which is exactly what you'd expect since they're all valid discretizations of the same underlying filter. The differences show up in subtle ways during volatile market conditions or in the exact phase characteristics, but for most trading applications the outputs will track each other closely. That said, the bilinear version works particularly well at low periods like 2, where other methods can sometimes produce numerical artifacts. I personally like the z-match for its clean frequency-domain properties, but the real point here is demonstrating that you can tackle the same problem from multiple mathematical angles and end up with slightly different but equally valid implementations. The order parameter is where things get interesting. A first-order EMA is the standard single-pole recursive filter everyone knows. When you move to second-order, you're essentially cascading two filter sections, which steepens the roll-off in the frequency domain and changes how the filter responds to sudden price movements. Higher orders continue this progression. The all-pole style makes this particularly clear since it's literally stacking EMA operations, but all four discretization methods support arbitrary order. This gives you control over the aggressiveness of the smoothing that goes beyond just adjusting the period length. On top of the core EMA calculation, I've included all the standard variants that people use for reducing lag. DEMA applies the EMA twice and combines the results to get faster response. TEMA takes it further with three applications. HEMA uses a Hull-style calculation with fractional periods, applying the EMA to the difference between a half-period EMA and a full-period EMA, then smoothing that result with the square root of the period. These are all implemented using whichever discretization method you select, so you're not mixing different mathematical approaches. Everything stays consistent within the chosen framework. The practical upside of this indicator is flexibility for people building trading systems. If you need a moving average with specific frequency response characteristics, you can tune the order parameter instead of hunting for the right period length. If you want to test whether different discretization methods affect your strategy's performance, you can swap between them without changing any other code. For most users, the impulse-matched style at order 1 will behave almost identically to a standard EMA, which gives you a familiar baseline to work from. From there you can experiment with higher orders or different styles to see if they provide any edge in your particular market or timeframe. What this really highlights is that even something as seemingly simple as an exponential moving average involves mathematical choices that usually stay hidden. The standard EMA formula you see in textbooks is already a discretized version of a continuous exponential decay, and there are multiple valid ways to perform that discretization. By exposing these options, this indicator lets you explore a parameter space that most traders never even know exists. Whether that exploration leads to better trading results is an empirical question that depends on your strategy and market, but at minimum it's a useful reminder that the tools we take for granted are built on arbitrary but reasonable mathematical decisions.
Pine Script® göstergesi
The_Peaceful_Lizard tarafından
2
MACD AI Flux Pro Dashboard V. 2Acknowledgment This indicator is built upon the MACD-V (Volatility-Normalized MACD) methodology originally created by Alex Spiroglou, CMT, whose research (2015–2022) introduced the principle of normalizing MACD momentum by volatility (MACD/ATR). Full acknowledgment and credit are hereby given to Mr. Spiroglou as the original author of the MACD-V concept and framework. Indicator Overview — MACD-V Flux Pro Dashboard V.2 The MACD-V Flux Pro Dashboard advances Spiroglou’s volatility-normalized foundation into a comprehensive multi-system architecture that unifies momentum, trend, volatility, and compression analytics in one visual framework. It is engineered for precision decision-making in both intraday and swing-trading environments. Key Dashboard Features: Dynamic Probability Engine: Calculates real-time long and short probabilities by weighting momentum, slope, compression, and volume pressure components into a composite score. Multi-Timeframe Confirmation (HTF Tiles): Displays live directional agreement across fast, mid, and slow timeframes for confidence filtering and signal validation. Regime Detection System: Automatically classifies the market as Trend Up, Trend Down, Compression, or Transition, applying background color cues for instant context. Risk and News Filters: Integrates ATR-based risk gating and customizable “mute windows” to block trade signals during high-volatility or scheduled news events. VWAP and Adaptive Bands: Plots VWAP with configurable ATR or standard-deviation bands to highlight over-extension and pullback zones. Trend-Day and Opening-Range Logic: Monitors RTH (Regular Trading Hours) price behavior to identify potential trend-day conditions. Smart Entry Arrows: Generates visual long/short signals only when multiple subsystems confirm direction, slope strength, and proximity to VWAP within defined thresholds. On-Chart Dashboard Panel: Presents live metrics including probability bias, regime state, ATR level, risk status, and news filters with adaptive color-coding and optional emoji cues for intuitive interpretation. Chart Display Summary: All elements are presented directly on the main chart, combining price structure, VWAP bands, EMAs, and regime background shading with the real-time dashboard panel. The design eliminates the need for a secondary pane, offering a consolidated and context-rich view of market dynamics
Pine Script® göstergesi
inkadinka_ka tarafından
3
Triple EMA strategy by kingtraderthis strategy is purely based on moving everages, ema5, ema50 and ema200, avoid ranging market. in 1 mint your tp should 15-20pips, in 3mint tp should be 25pips, in 5mint tp should not above 50pips, in 15mints make tp 60 to 80 pips, in 30 mints tp 150 and 1h and h4 ur tp above 200pips, when target achieves have partial closing and keep ur trade breakeven. this indicator is for educational purpose only any loss by using this indicator, the author will not be responsible.
Pine Script® göstergesi
epicreadshub tarafından
Mythical EMAs + Dynamic VWAP BandThis indicator titled "Mythical EMAs + Dynamic VWAP Band." It overlays several volatility-adjusted Exponential Moving Averages (EMAs) on the chart, along with a Volume Weighted Average Price (VWAP) line and a dynamic band around it. Additionally, it uses background coloring (clouds) to visualize bullish or bearish trends, with intensity modulated by the price's position relative to the VWAP. The EMAs are themed with mythical names (e.g., Hermes for the 9-period EMA), but this is just stylistic flavoring and doesn't affect functionality. I'll break it down section by section, explaining what each part does, how it works, and its purpose in the context of technical analysis. This indicator is designed for traders to identify trends, momentum, and price fairness relative to volume-weighted averages, with volatility adjustments to make the EMAs more responsive in volatile markets. ### 1. **Volatility Calculation (ATR)** ```pine atrLength = 14 volatility = ta.atr(atrLength) ``` - **What it does**: Calculates the Average True Range (ATR) over 14 periods (a common default). ATR measures market volatility by averaging the true range (the greatest of: high-low, |high-previous close|, |low-previous close|). - **Purpose**: This volatility value is used later to dynamically adjust the EMAs, making them more sensitive in high-volatility conditions (e.g., during market swings) and smoother in low-volatility periods. It helps the indicator adapt to changing market environments rather than using static EMAs. ### 2. **Custom Mythical EMA Function** ```pine mythical_ema(src, length, base_alpha, vol_factor) => alpha = (2 / (length + 1)) * base_alpha * (1 + vol_factor * (volatility / src)) ema = 0.0 ema := na(ema ) ? src : alpha * src + (1 - alpha) * ema ema ``` - **What it does**: Defines a custom function to compute a modified EMA. - It starts with the standard EMA smoothing factor formula: `2 / (length + 1)`. - Multiplies it by a `base_alpha` (a user-defined multiplier to tweak responsiveness). - Adjusts further for volatility: Adds a term `(1 + vol_factor * (volatility / src))`, where `vol_factor` scales the impact, and `volatility / src` normalizes ATR relative to the source price (making it scale-invariant). - The EMA is then calculated recursively: If the previous EMA is NA (e.g., at the start), it uses the current source value; otherwise, it weights the current source by `alpha` and the prior EMA by `(1 - alpha)`. - **Purpose**: This creates "adaptive" EMAs that react faster in volatile markets (higher alpha when volatility is high relative to price) without overreacting in calm periods. It's an enhancement over standard EMAs, which use fixed alphas and can lag in choppy conditions. The mythical theme is just naming—functionally, it's a volatility-weighted EMA. ### 3. **Calculating the EMAs** ```pine ema9 = mythical_ema(close, 9, 1.2, 0.5) // Hermes - quick & nimble ema20 = mythical_ema(close, 20, 1.0, 0.3) // Apollo - short-term foresight ema50 = mythical_ema(close, 50, 0.9, 0.2) // Athena - wise strategist ema100 = mythical_ema(close, 100, 0.8, 0.1) // Zeus - powerful oversight ema200 = mythical_ema(close, 200, 0.7, 0.05) // Kronos - long-term patience ``` - **What it does**: Applies the custom EMA function to the close price with varying lengths (9, 20, 50, 100, 200 periods), base alphas (decreasing from 1.2 to 0.7 for longer periods to make shorter ones more responsive), and volatility factors (decreasing from 0.5 to 0.05 to reduce volatility influence on longer-term EMAs). - **Purpose**: These form a multi-timeframe EMA ribbon: - Shorter EMAs (e.g., 9 and 20) capture short-term momentum. - Longer ones (e.g., 200) show long-term trends. - Crossovers (e.g., short EMA crossing above long EMA) can signal buy/sell opportunities. The volatility adjustment makes them "mythical" by adding dynamism, potentially improving signal quality in real markets. ### 4. **VWAP Calculation** ```pine vwap_val = ta.vwap(close) // VWAP based on close price ``` - **What it does**: Computes the Volume Weighted Average Price (VWAP) using the built-in `ta.vwap` function, anchored to the close price. VWAP is the average price weighted by volume over the session (resets daily by default in Pine Script). - **Purpose**: VWAP acts as a benchmark for "fair value." Prices above VWAP suggest bullishness (buyers in control), below indicate bearishness (sellers dominant). It's commonly used by institutional traders to assess entry/exit points. ### 5. **Plotting EMAs and VWAP** ```pine plot(ema9, color=color.fuchsia, title='EMA 9 (Hermes)') plot(ema20, color=color.red, title='EMA 20 (Apollo)') plot(ema50, color=color.orange, title='EMA 50 (Athena)') plot(ema100, color=color.aqua, title='EMA 100 (Zeus)') plot(ema200, color=color.blue, title='EMA 200 (Kronos)') plot(vwap_val, color=color.yellow, linewidth=2, title='VWAP') ``` - **What it does**: Overlays the EMAs and VWAP on the chart with distinct colors and titles for easy identification in TradingView's legend. - **Purpose**: Visualizes the EMA ribbon and VWAP line. Traders can watch for EMA alignments (e.g., all sloping up for uptrend) or price interactions with VWAP. ### 6. **Dynamic VWAP Band** ```pine band_pct = 0.005 vwap_upper = vwap_val * (1 + band_pct) vwap_lower = vwap_val * (1 - band_pct) p1 = plot(vwap_upper, color=color.new(color.yellow, 0), title="VWAP Upper Band") p2 = plot(vwap_lower, color=color.new(color.yellow, 0), title="VWAP Lower Band") fill_color = close >= vwap_val ? color.new(color.green, 80) : color.new(color.red, 80) fill(p1, p2, color=fill_color, title="Dynamic VWAP Band") ``` - **What it does**: Creates a band ±0.5% around the VWAP. - Plots the upper/lower bands with full transparency (color opacity 0, so lines are invisible). - Fills the area between them dynamically: Semi-transparent green (opacity 80) if close ≥ VWAP (bullish bias), red if below (bearish bias). - **Purpose**: Highlights deviations from VWAP visually. The color change provides an at-a-glance sentiment indicator—green for "above fair value" (potential strength), red for "below" (potential weakness). The narrow band (0.5%) focuses on short-term fairness, and the fill makes it easier to spot than just the line. ### 7. **Trend Clouds with VWAP Interaction** ```pine bullish = ema9 > ema20 and ema20 > ema50 bearish = ema9 < ema20 and ema20 < ema50 bullish_above_vwap = bullish and close > vwap_val bullish_below_vwap = bullish and close <= vwap_val bearish_below_vwap = bearish and close < vwap_val bearish_above_vwap = bearish and close >= vwap_val bgcolor(bullish_above_vwap ? color.new(color.green, 50) : na, title="Bullish Above VWAP") bgcolor(bullish_below_vwap ? color.new(color.green, 80) : na, title="Bullish Below VWAP") bgcolor(bearish_below_vwap ? color.new(color.red, 50) : na, title="Bearish Below VWAP") bgcolor(bearish_above_vwap ? color.new(color.red, 80) : na, title="Bearish Above VWAP") ``` - **What it does**: Defines trend conditions based on EMA alignments: - Bullish: Shorter EMAs stacked above longer ones (9 > 20 > 50, indicating upward momentum). - Bearish: The opposite (downward momentum). - Sub-conditions combine with VWAP: E.g., bullish_above_vwap is true only if bullish and price > VWAP. - Applies background colors (bgcolor) to the entire chart pane: - Strong bullish (above VWAP): Green with opacity 50 (less transparent, more intense). - Weak bullish (below VWAP): Green with opacity 80 (more transparent, less intense). - Strong bearish (below VWAP): Red with opacity 50. - Weak bearish (above VWAP): Red with opacity 80. - If no condition matches, no color (na). - **Purpose**: Creates "clouds" for trend visualization, enhanced by VWAP context. This helps traders confirm trends—e.g., a strong bullish cloud (darker green) suggests a high-conviction uptrend when price is above VWAP. The varying opacity differentiates signal strength: Darker for aligned conditions (trend + VWAP agreement), lighter for misaligned (potential weakening or reversal). ### Overall Indicator Usage and Limitations - **How to use it**: Add this to a TradingView chart (e.g., stocks, crypto, forex). Look for EMA crossovers, price bouncing off EMAs/VWAP, or cloud color changes as signals. Bullish clouds with price above VWAP might signal buys; bearish below for sells. - **Strengths**: Combines momentum (EMAs), volume (VWAP), and volatility adaptation for a multi-layered view. Dynamic colors make it intuitive. - **Limitations**: - EMAs lag in ranging markets; volatility adjustment helps but doesn't eliminate whipsaws. - VWAP resets daily (standard behavior), so it's best for intraday/session trading. - No alerts or inputs for customization (e.g., changeable lengths)—it's hardcoded. - Performance depends on the asset/timeframe; backtest before using. - **License**: Mozilla Public License 2.0, so it's open-source and modifiable.
Pine Script® göstergesi
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