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Heikin FlowHeikin Flow by Ben Deharde, 2025 Overview Heikin Flow is a trend and momentum oscillator built on a smoothed reverse-Heikin-Ashi baseline. It quantifies the distance between price and this baseline, then colors the histogram to reflect both direction and acceleration/deceleration. Use it standalone to read trend energy and shifts, or pair it with Heikin Rider for momentum-aware breakout confirmation. What It Does Computes a reverse-HA baseline and optionally smooths it with a selectable MA. Plots a histogram of distance (price minus baseline) to visualize directional pressure. Colors the histogram by trend state (above/below baseline) and momentum (accelerating vs. decelerating). Provides alerts on zero-line crosses to spotlight potential momentum regime changes. The histogram also helps to spot divergence between price and momentum (e.g., price making new highs while the histogram weakens). How It Works Reverse-HA Baseline Heikin Flow derives a “reverse close” value from Heikin Ashi context (using prior HA open/close with current bar range) to capture underlying pressure. This value is range-bounded to avoid extremes, then optionally smoothed. The resulting line acts as a soft directional baseline. Smoothing (Noise Control) Choose SMA/EMA/HMA/VWMA/RMA and a length to control baseline responsiveness. Shorter lengths react faster, longer lengths emphasize trend consistency by filtering noise—useful when pairing with breakout tools like Rider. Trend & Momentum Logic Trend: If price is above the baseline, the environment is considered uptrend; below indicates downtrend. Momentum: The change in distance bar-to-bar distinguishes acceleration (growing distance) from deceleration (shrinking distance). This dual readout helps you see not just direction, but the quality of that direction—strong push vs. weakening move. Coloring (Aligned with Heikin Rider Palette) Deep Blue: Uptrend & accelerating Light Blue: Uptrend & decelerating Deep Red: Downtrend & accelerating Soft Orange: Downtrend & decelerating This mirrors the palette logic from Heikin Rider for immediate visual consistency across the suite. How to use Read the histogram above/below zero (price–baseline) as directional bias; watch color changes for momentum context. Use zero-line crosses as momentum regime shifts; confirm with price action or Heikin Rider breakout signals. Watch for divergence between price action and the histogram as an early clue of weakening moves. Adjust smoothing method/length to fit your market and timeframe—faster for scalping, slower to highlight sustained trends. Inputs Smoothing Type & Length for the baseline (SMA/EMA/HMA/VWMA/RMA) Info Box toggles (display and formatting) Live Mode option for real-time vs. confirmed-bar behavior (avoids inadvertent lookahead) Originality Heikin Flow adapts the HA-driven methodology to an oscillator that focuses on distance-to-baseline and momentum quality, using a reverse-HA construction and flexible MA smoothing—complementing Heikin Rider’s smoothed HA envelope breakout design for a cohesive, momentum-aware workflow. Alerts Bullish Heikin Flow Cross — distance crosses above 0 (on bar close) Bearish Heikin Flow Cross — distance crosses below 0 (on bar close)
Wskaźnik Pine Script®
od BenDeharde
1
Iani SMC Sniper XAU v2.2 (Long+Short + News Countdown, v6)Iani SMC Sniper v2.6 — Anytime • Auto Pip • FVG 50% • OB • News Panel Smart-Money Concepts made simple for intraday XAU/USD (works on any symbol). Finds BOS, 50% FVG “sniper” entries, optional Order Blocks, London H/L, news countdown, and a mini info panel. What it does BOS (Break of Structure): detects bullish/bearish BOS after London sweep logic. FVG 50% entries: plots precise long/short entry dots at the midpoint of the gap. Auto TP/SL: TP = RR × risk, SL below/above recent swing with a small buffer. Order Blocks (optional): marks the last opposite candle after BOS and alerts on OB revisit. London High/Low: tracks session range; session filter is optional. News countdown: shows next event time and minutes left (user-selectable timezone). Mini Panel: top-left table with Trend (last BOS), Next news, R:R, Pip size. Inputs (key) Auto pip size: uses syminfo.mintick. Manual override available. Risk:Reward (RR): default 2.0. Pivot length: swing sensitivity. Sessions: enable if you want signals only 12:00–20:00 (symbol timezone). Off = anytime. News timezone: pick your own (e.g., Europe/Brussels, America/New_York). Absolute & daily times: add your events (strings like 2025-09-17 20:00 or 14:30,16:00…). Show labels/levels/OBs: toggle on/off. Alerts included BOS Bullish / BOS Bearish BUY Entry / SELL Entry (return to 50% FVG) Bullish OB revisit / Bearish OB revisit TP Long/Short reached, SL Long/Short hit NEWS WARNING (warning window only; does not block signals) To use: Add Alert → Condition: this indicator → choose any of the alertconditions. Best use Bias: H1 for structure. Execution: M15 (standard) or M5 (aggressive). Works great on XAUUSD, but is symbol-agnostic (auto pip adapts). Notes News times display in the timezone you pick in settings. OBs are a simple implementation meant for quick visual guidance. Labels: BUY/SELL near entries, TP/SL on set and when hit, BOS up/down. Risk disclaimer This tool is for education only. Not financial advice. Backtest and manage risk.
Wskaźnik Pine Script®
od Ianistefian
Reference timesThe theory behind this indicator is that sometimes the graph reaches a certain price at at a certain time according to the price it had at the same time and day in any of the previous weeks. If you could easily see what happened a few weeks ago on this day's weekday and half an hour from now, you might theoretically gain more assurance as to where the graph might go in the next half an hour. This of course relies of the premise that some traders choose to enter or exit positions according to historical times they are referencing. Hence the name - Reference times. Example: it is now 08:00 ET Wednesday. I want to guess what the graph will do in the next half hour. I enter in the indicator the weekday "Wednesday", the time "8:30", and go to 30 minute candles. I will then see all the candles the graph has been on historical Wednesdays at 8:30. If the candles are below the 08:00 price, we might guess that the graph might want to descent. If they are above the graph, we might guess that the graph might ascend. How it works: The user defines a weekday and time he wants to inquire on. The script searches for past weekdays and similar hours. It marks these bars at their wicks. The user can also inquire "opposite hours" - 12 hours ahead or earlier. The user can also inquire "opposite days" - Monday<->Wednesday, Tuesday<->Thursday. In addition, the User may inquire the previous day of his selected weekday, which will mark the most recent previous day existent. Side note: The Time zone offset is set for Jerusalem time. and so it may need future adjustment. send debugging instances if you find any Thank you Assaf Fogelman 2025
Wskaźnik Pine Script®
od deepkfiz
1
Reference TimesThe theory behind this indicator is that sometime the graph will change its direction at a point that is the point it reached at that weekday on that time in the previous weeks. If you can easily see what happened a few weeks ago on this day's weekday and a half an hour from now, you might theoretically gain more assurance as to where the graph might go in the next half an hour. This of course relies of the premise that some traders choose to enter or exit positions according to historical times they are referencing. Hence the name - Reference times. Example: it is now 08:00 ET Wednesday. I want to guess what the graph will do in half an hour. I enter in the indicator the weekday "Wednesday", the time "8:30", and go to 30 minute candles. I will then see all the candles the graph has been on historical Wednesdays at 8:30. If the candles are below the 08:00 price, we might guess that the graph might want to descent. If they are above the graph, we would guess the graph might want to ascend. How it works: The user defines a weekday and time he wants to inquire on. The script searches for past weekdays and similar hours. It marks these bars at their wicks. The user can also inquire "opposite hours" - 12 hours ahead or earlier. The user can also inquire "opposite days" - Monday<->Wednesday, Tuesday<->Thursday. In addition, the User may inquire the previous day of his selected weekday, which will mark the most recent previous day existent. Side note: The Time zone offset is set for Jerusalem time. and so it may need future adjustment. send debugging instances if you find any Thank you Assaf Fogelman 2025
Wskaźnik Pine Script®
od deepkfiz
1
ICT 00:00, 08:30, 09:30 & 13:30 Opens (NY) — Prior-Day HistoryICT 00:00, 08:30, 09:30 & 13:30 Opens (NY) This is a derivative of ALPHAICTRADER’s open-source script, republished under the MPL-2.0 with clear attribution and documented changes. It plots four New-York–anchored intraday reference levels—0000, 0830, 0930, 1330—as short, right-padded stubs with clean side labels. Use these time anchors (ICT-style midnight + key US windows) to frame bias, volatility pockets, and intraday trade locations. What’s original in this version (changes) Right-padded stubs instead of chart-wide rays — each level ends N bars past the latest candle (configurable). Side labels at the line tip — text-only labels (0000, 0830, 0930, 1330) that sit at the right end of each stub and update every bar. Optional prior-day history — show Today only or Today + Prior Day; older lines/labels auto-pruned. Per-anchor controls — Display, Style, Color, Width, and Show Label for each time. What it plots (and why) 0000 (NY Midnight): daily session anchor for bias/liquidity context. 0830 (NY): macro data window (CPI/NFP/claims) where volatility often concentrates. 0930 (NY): US cash equity market open; opening-drive structure/acceptance tests. 1330 (NY): early-afternoon anchor for continuation vs. fade. How it works (under the hood) Session detection: time("1", session, "America/New_York"); first bar flagged via not na(ts) and na(ts ). Anchor price: open of that first bar per session/day. Rendering: lines drawn with xloc=bar_index from start bar to bar_index + Right Pad; x2 updates every bar (no extend.right). Labels: placed at line.get_x2(line) + Label Pad, soft color variant; updated per bar to stay on the tip. History: arrays keep either today only or today + yesterday and delete anything older immediately. How to use Add to any intraday chart (futures/FX/indices). Anchors are always NY-time; TradingView handles DST. Inputs 00:00 / 08:30 / 09:30 / 13:30 (NY): Display, Line Style, Color, Width, Show Label Right Edge: Right Pad (bars) · Label Pad (bars) History: Show Prior Day (History) — off = today only; on = today + yesterday Suggested pads: Right Pad 2–5 bars; Label Pad 0–2. These are context anchors, not signals. Combine with your execution model (market structure, liquidity, FVG/OBs, etc.). Attribution & License (MPL-2.0) Original work: “ICT NEW YORK MIDNIGHT OPEN AND 8.30 AM OPEN” by ALPHAICTRADER (MPL-2.0). This derivative: modifications listed above; source published and kept under MPL-2.0 per license terms. If you distribute a modified version of this Pine file, you must keep MPL-2.0, retain the copyright/licensing header, publish your modified source, and document your changes. Notes: Pine v5. Minimalist (no day dividers). Educational tool; not financial advice. Copyright: © ALPHAICTRADER 2022 · © Funk 2025 License: MPL-2.0
Wskaźnik Pine Script®
od FunkValue
DNSE VN301!, ADX Momentum StrategyDiscover the tailored Pine Script for trading VN30F1M Futures Contracts intraday. This strategy applies the Statistical Method (IQR) to break down the components of the ADX, calculating the threshold of "normal" momentum fluctuations in price to identify potential breakouts for entry and exit signals. The script automatically closes all positions by 14:30 to avoid overnight holdings. www.tradingview.com Settings & Backtest Results: - Chart: 30-minute timeframe - Initial capital: VND 100 million - Position size: 4 contracts per trade (includes trading fees, excludes tax) - Backtest period: Sep-2021 to Sep-2025 - Return: over 270% (with 5 ticks slippage) - Trades executed: 1,000+ - Win rate: ~40% - Profit factor: 1.2 Default Script Settings: Calculates the acceleration of changes in the +DI and -DI components of the ADX, using IQR to define "normal" momentum fluctuations (adjustable via Lookback period). Calculates the difference between each bar’s Open and Close prices, using IQR to define "normal" gaps (adjustable via Lookback period). Entry & Exit Conditions: Entry Long: Change in +DI or -DI > Avg IQR Value AND Close Price > Previous Close Exit Long: (all 4 conditions must be met) - Change in +DI or -DI > Avg IQR Value - RSI < Previous RSI - Close–Open Gap > Avg IQR Gap - Close Price < Previous Close Entry Short: Change in +DI or -DI > Avg IQR Value AND Close Price < Previous Close Exit Short: (all 4 conditions must be met) - Change in +DI or -DI > Avg IQR Value - RSI > Previous RSI - Close–Open Gap > Avg IQR Gap - Close Price > Previous Close Disclaimers: Trading futures contracts carries a high degree of risk, and price movements can be highly volatile. This script is intended as a reference tool only. It should be used by individuals who fully understand futures trading, have assessed their own risk tolerance, and are knowledgeable about the strategy’s logic. All investment decisions are the sole responsibility of the user. DNSE bears no liability for any potential losses incurred from applying this strategy in real trading. Past performance does not guarantee future results. Please contact us directly if you have specific questions about this script.
Strategia Pine Script®
od DNSE
1
عكفة الماكد المتقدمة - أبو فارس ©// 🔒 Advanced MACD Curve © 2025 // 💡 Idea & Creativity: Engineer Abu Elias // 🛠️ Development & Implementation: Abu Fares // 📜 All intellectual rights reserved - Copying, modifying, or redistributing is not permitted // 🚫 Any attempt to tamper with this code or violate intellectual property rights is legally prohibited // 📧 For inquiries and licensing: Please contact the developer, Abu Fares
Wskaźnik Pine Script®
od ABU_FARIS
NN Crypto Scalping ULTIMATE v6 - MTF mapercivNeural Network Crypto Trading System v6.1 Complete Technical Documentation Author : Neural Network Ensemble Trading System Version : 6.1 - MTF Corrected & Bias Fixed Date : January 2025 Platform : TradingView PineScript v6 Executive Summary The Neural Network Crypto Trading System v6.1 is an advanced algorithmic trading system that combines three specialized neural networks into an intelligent ensemble to generate cryptocurrency trading signals. The system integrates multi-timeframe analysis, crypto-specific optimizations, dynamic risk management, and continuous learning to maximize performance in highly volatile markets. Key Features: Ensemble of 3 specialized Neural Networks (Primary, Momentum, Volatility) Multi-Timeframe Analysis with 5 timeframes (5m, 15m, 1h, 4h, 1D) 22 Advanced Features for each model Anti-repainting guaranteed with confirmed data 8 Market Regime automatic detections 6 Signal Levels (Strong/Moderate/Weak Buy/Sell) Professional dashboard with 15+ real-time metrics Intelligent alert system with webhook integration
Wskaźnik Pine Script®
od maperciv
Bitcoin Power Law with Cycle BandsBitcoin Power Law with Cycle Bands DescriptionUnlock the power of Bitcoin’s long-term trends with the Bitcoin Power Law with Cycle Bands script, exclusively available through Bitcoin Wealth Edge! This custom TradingView indicator, built for Pine Script v6, models Bitcoin’s price behavior using a 96% R² power law trendline, derived from days since its genesis (January 3, 2009). Designed to predict cycle tops and bottoms, it features:Power Law Trendline: A cyan line representing fair value (e.g., ~$111,000 as of September 2025), based on a logarithmic regression with adjustable coefficients (a = -17.02, b = 5.83). Cycle Bands: Adjustable red (upper) and green (lower) bands, defaulting to 3.5x and -3.5x multipliers, aligning with historical peaks (e.g., $69K in 2021) and troughs (e.g., $16K in 2022). Dynamic Labels: Real-time labels displaying fair value, upper limit ($180K), and lower limit ($40K), updated on the last bar for quick insights. Follow @HodlerRanch for updates!
Wskaźnik Pine Script®
od PlebDave
FNGAdataDates_Part1FNGAdataDates_Part1 provides historical trading dates for a financial instrument (e.g., FNGA index or related asset) from May 23, 2025, to approximately mid-2021, covering 950 trading days. The dates are organized into 19 chunks (dates_0 to dates_18), each containing 50 timestamps representing trading days (excluding weekends and possibly holidays). This library is part one of a two-part set due to Pine Script token limits and must be used with FNGAdataDates_Part2 for the complete dataset (1,846 dates). It is designed to align with the FNGAopenPrices and FNGAclosePrices libraries for backtesting, technical analysis, or visualization in Pine Script.
Biblioteka Pine Script®
od bsouthhh
Savitzky-Golay Hampel Filter | AlphaNattSavitzky-Golay Hampel Filter | AlphaNatt A revolutionary indicator combining NASA's satellite data processing algorithms with robust statistical outlier detection to create the most scientifically advanced trend filter available on TradingView. "This is the same mathematics that processes signals from the Hubble Space Telescope and analyzes data from the Large Hadron Collider - now applied to financial markets." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 SCIENTIFIC PEDIGREE Savitzky-Golay Filter Applications: NASA: Satellite telemetry and space probe data processing CERN: Particle physics data analysis at the LHC Pharmaceutical: Chromatography and spectroscopy analysis Astronomy: Processing signals from radio telescopes Medical: ECG and EEG signal processing Hampel Filter Usage: Aerospace: Cleaning sensor data from aircraft and spacecraft Manufacturing: Quality control in precision engineering Seismology: Earthquake detection and analysis Robotics: Sensor fusion and noise reduction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧬 THE MATHEMATICS 1. Savitzky-Golay Filter The SG filter performs local polynomial regression on data points: Fits a polynomial of degree n to a sliding window of data Evaluates the polynomial at the center point Preserves higher moments (peaks, valleys) unlike moving averages Maintains derivative information for true momentum analysis Originally published in Analytical Chemistry (1964) Mathematical Properties: Optimal smoothing in the least-squares sense Preserves statistical moments up to polynomial order Exact derivative calculation without additional lag Superior frequency response vs traditional filters 2. Hampel Filter A robust outlier detector based on Median Absolute Deviation (MAD): Identifies outliers using robust statistics Replaces spurious values with polynomial-fitted estimates Resistant to up to 50% contaminated data MAD is 1.4826 times more robust than standard deviation Outlier Detection Formula: |x - median| > k × 1.4826 × MAD Where k is the threshold parameter (typically 3 for 99.7% confidence) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 WHY THIS IS SUPERIOR vs Moving Averages: Preserves peaks and valleys (critical for catching tops/bottoms) No lag penalty for smoothness Maintains derivative information Polynomial fitting > simple averaging vs Other Filters: Outlier immunity (Hampel component) Scientifically optimal smoothing Preserves higher-order features Used in billion-dollar research projects Unique Advantages: Feature Preservation: Maintains market structure while smoothing Spike Immunity: Ignores false breakouts and stop hunts Derivative Accuracy: True momentum without additional indicators Scientific Validation: 60+ years of academic research ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ PARAMETER OPTIMIZATION 1. Polynomial Order (2-5) 2 (Quadratic): Maximum smoothing, gentle curves 3 (Cubic): Balanced smoothing and responsiveness (recommended) 4-5 (Higher): More responsive, preserves more features 2. Window Size (7-51) Must be odd number Larger = smoother but more lag Formula: 2×(desired smoothing period) + 1 Default 21 = analyzes 10 bars each side 3. Hampel Threshold (1.0-5.0) 1.0: Aggressive outlier removal (68% confidence) 2.0: Moderate outlier removal (95% confidence) 3.0: Conservative outlier removal (99.7% confidence) (default) 4.0+: Only extreme outliers removed 4. Final Smoothing (1-7) Additional WMA smoothing after filtering 1 = No additional smoothing 3-5 = Recommended for most timeframes 7 = Ultra-smooth for position trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 TRADING STRATEGIES Signal Recognition: Cyan Line: Bullish trend with positive derivative Pink Line: Bearish trend with negative derivative Color Change: Trend reversal with polynomial confirmation 1. Trend Following Strategy Enter when price crosses above cyan filter Exit when filter turns pink Use filter as dynamic stop loss Best in trending markets 2. Mean Reversion Strategy Enter long when price touches filter from below in uptrend Enter short when price touches filter from above in downtrend Exit at opposite band or filter color change Excellent for range-bound markets 3. Derivative Strategy (Advanced) The SG filter preserves derivative information Acceleration = second derivative > 0 Enter on positive first derivative + positive acceleration Exit on negative second derivative (momentum slowing) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 PERFORMANCE CHARACTERISTICS Strengths: Outlier Immunity: Ignores stop hunts and flash crashes Feature Preservation: Catches tops/bottoms better than MAs Smooth Output: Reduces whipsaws significantly Scientific Basis: Not curve-fitted or optimized to markets Considerations: Slight lag in extreme volatility (all filters have this) Requires odd window sizes (mathematical requirement) More complex than simple moving averages Best with liquid instruments ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 SCIENTIFIC BACKGROUND Savitzky-Golay Publication: "Smoothing and Differentiation of Data by Simplified Least Squares Procedures" - Abraham Savitzky & Marcel Golay - Analytical Chemistry, Vol. 36, No. 8, 1964 Hampel Filter Origin: "Robust Statistics: The Approach Based on Influence Functions" - Frank Hampel et al., 1986 - Princeton University Press These techniques have been validated in thousands of scientific papers and are standard tools in: NASA's Jet Propulsion Laboratory European Space Agency CERN (Large Hadron Collider) MIT Lincoln Laboratory Max Planck Institutes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 ADVANCED TIPS News Trading: Lower Hampel threshold before major events to catch spikes Scalping: Use Order=2 for maximum smoothness, Window=11 for responsiveness Position Trading: Increase Window to 31+ for long-term trends Combine with Volume: Strong trends need volume confirmation Multiple Timeframes: Use daily for trend, hourly for entry Watch the Derivative: Filter color changes when first derivative changes sign ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTICES Not financial advice - educational purposes only Past performance does not guarantee future results Always use proper risk management Test settings on your specific instrument and timeframe No indicator is perfect - part of complete trading system ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 CONCLUSION The Savitzky-Golay Hampel Filter represents the pinnacle of scientific signal processing applied to financial markets. By combining polynomial regression with robust outlier detection, traders gain access to the same mathematical tools that: Guide spacecraft to other planets Detect gravitational waves from black holes Analyze particle collisions at near light-speed Process signals from deep space This isn't just another indicator - it's rocket science for trading . "When NASA needs to separate signal from noise in billion-dollar missions, they use these exact algorithms. Now you can too." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt Version: 1.0 Release: 2025 Pine Script: v6 "Where Space Technology Meets Market Analysis" Not financial advice. Always DYOR
Wskaźnik Pine Script®
od AlphaNatt
3
Laguerre-Kalman Adaptive Filter | AlphaNattLaguerre-Kalman Adaptive Filter |AlphaNatt A sophisticated trend-following indicator that combines Laguerre polynomial filtering with Kalman optimal estimation to create an ultra-smooth, low-lag trend line with exceptional noise reduction capabilities. "The perfect trend line adapts to market conditions while filtering out noise - this indicator achieves both through advanced mathematical techniques rarely seen in retail trading." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 KEY FEATURES Dual-Filter Architecture: Combines two powerful filtering methods for superior performance Adaptive Volatility Adjustment: Automatically adapts to market conditions Minimal Lag: Laguerre polynomials provide faster response than traditional moving averages Optimal Noise Reduction: Kalman filtering removes market noise while preserving trend Clean Visual Design: Color-coded trend visualization (cyan/pink) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 THE MATHEMATICS 1. Laguerre Filter Component The Laguerre filter uses a cascade of four all-pass filters with a single gamma parameter: 4th order IIR (Infinite Impulse Response) filter Single parameter (gamma) controls all filter characteristics Provides smoother output than EMA with similar lag Based on Laguerre polynomials from quantum mechanics 2. Kalman Filter Component Implements a simplified Kalman filter for optimal estimation: Prediction-correction algorithm from aerospace engineering Dynamically adjusts based on estimation error Provides mathematically optimal estimate of true price trend Reduces noise while maintaining responsiveness 3. Adaptive Mechanism Monitors market volatility in real-time Adjusts filter parameters based on current conditions More responsive in trending markets More stable in ranging markets ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ INDICATOR SETTINGS Laguerre Gamma (0.1-0.99): Controls filter smoothness. Higher = smoother but more lag Adaptive Period (5-100): Lookback for volatility calculation Kalman Noise Reduction (0.1-2.0): Higher = more noise filtering Trend Threshold (0.0001-0.01): Minimum change to register trend shift Recommended Settings: Scalping: Gamma: 0.6, Period: 10, Noise: 0.3 Day Trading: Gamma: 0.8, Period: 20, Noise: 0.5 (default) Swing Trading: Gamma: 0.9, Period: 30, Noise: 0.8 Position Trading: Gamma: 0.95, Period: 50, Noise: 1.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 TRADING SIGNALS Primary Signals: Cyan Line: Bullish trend - price above filter and filter ascending Pink Line: Bearish trend - price below filter or filter descending Color Change: Potential trend reversal point Entry Strategies: Trend Continuation: Enter on pullback to filter line in trending market Trend Reversal: Enter on color change with volume confirmation Breakout: Enter when price crosses filter with momentum Exit Strategies: Exit long when line turns from cyan to pink Exit short when line turns from pink to cyan Use filter as trailing stop in strong trends ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ ADVANTAGES OVER TRADITIONAL INDICATORS Vs. Moving Averages: Significantly less lag while maintaining smoothness Adaptive to market conditions Better noise filtering Vs. Standard Filters: Dual-filter approach provides optimal estimation Mathematical foundation from signal processing Self-adjusting parameters Vs. Other Trend Indicators: Cleaner signals with fewer whipsaws Works across all timeframes No repainting or lookahead bias ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 MATHEMATICAL BACKGROUND The Laguerre filter was developed by John Ehlers, applying Laguerre polynomials (used in quantum mechanics) to financial markets. These polynomials provide an elegant solution to the lag-smoothness tradeoff that plagues traditional moving averages. The Kalman filter, developed by Rudolf Kalman in 1960, is used in everything from GPS systems to spacecraft navigation. It provides the mathematically optimal estimate of a system's state given noisy measurements. By combining these two approaches, this indicator achieves what neither can alone: a smooth, responsive trend line that adapts to market conditions while filtering out noise. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 TIPS FOR BEST RESULTS Confirm with Volume: Strong trends should have increasing volume Multiple Timeframes: Use higher timeframe for trend, lower for entry Combine with Momentum: RSI or MACD can confirm filter signals Market Conditions: Adjust noise parameter based on market volatility Backtesting: Always test settings on your specific instrument ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTES No indicator is perfect - always use proper risk management Best suited for trending markets May produce false signals in choppy/ranging conditions Not financial advice - for educational purposes only ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 CONCLUSION The Laguerre-Kalman Adaptive Filter represents a significant advancement in technical analysis, bringing institutional-grade mathematical techniques to retail traders. Its unique combination of polynomial filtering and optimal estimation provides a clean, reliable trend-following tool that adapts to changing market conditions. Whether you're scalping on the 1-minute chart or position trading on the daily, this indicator provides clear, actionable signals with minimal false positives. "In the world of technical analysis, the edge comes from using better mathematics. This indicator delivers that edge." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt | Professional Quantitative Trading Tools Version: 1.0 Last Updated: 2025 Pine Script: v6 License: Open Source Not financial advice. Always DYOR
Wskaźnik Pine Script®
od AlphaNatt
3
CAP - KC/AC 2.20462 Converter// ─────────────────────────────────────────────────────────────────────────────── // Purpose: Conversion Indicator for ICE “C” (KC) and “C Metric” (AC) Contracts // // Background: // - The Intercontinental Exchange (ICE) is phasing out the legacy Coffee “C” contract (symbol: KC), // which has been quoted in U.S. cents per pound, and replacing it with the new Coffee “C Metric” contract (symbol: AC), // quoted in U.S. dollars per metric ton :contentReference {index=0}. // - The final KC futures expire in March 2028; AC contracts begin trading in September 2025 and use modern specifications // including pricing per metric ton and flexible bulk delivery formats :contentReference {index=1}. // // Why this script matters: // - Traders are accustomed to the KC pricing format (¢/lb); the AC contract’s USD/MT may create confusion. // - This indicator visually converts the current chart price—whether from KC or AC contracts—directly into its equivalent unit, // helping traders quickly assess parity and compare trends across both contract types. // - It simplifies head-to-head comparison during this transition period, improving clarity on chart price behavior. // // Usage instructions: // - If the symbol starts with "KC", the script divides the price by 2.20462 to convert from ¢/lb to approximate ¢/kg. // - If the symbol starts with "AC", the script multiplies the price by 2.20462 to reverse the conversion. // - The results (converted values) are displayed in a table for immediate visual clarity. // ───────────────────────────────────────────────────────────────────────────────
Wskaźnik Pine Script®
od calinpascual
1
BBMA Enhanced Pro - Multi-Timeframe Band Breakout StrategyShort Title : BBMA Pro Overview The BBMA Enhanced Pro is a professional-grade trading indicator that builds on the Bollinger Bands Moving Average (BBMA) strategy, pioneered by Omar Ali , a Malaysian forex trader and educator. Combining Bollinger Bands with Weighted Moving Averages (WMA) , this indicator identifies high-probability breakout and reversal opportunities across multiple timeframes. With advanced features like multi-timeframe Extreme signal detection, eight professional visual themes, and a dual-mode dashboard, it’s designed for traders seeking precision in trending and consolidating markets. Optimized for dark chart backgrounds, it’s ideal for forex, stocks, and crypto trading. History The BBMA strategy was developed by Omar Ali (BBMA Oma Ally) in the early 2010s, gaining popularity in the forex trading community, particularly in Southeast Asia. Building on John Bollinger’s Bollinger Bands, Omar Ali integrated Weighted Moving Averages and a multi-timeframe approach to create a structured system for identifying reversals, breakouts, and extreme conditions. The BBMA Enhanced Pro refines this framework with modern features like real-time dashboards and customizable visualizations, making it accessible to both novice and experienced traders. Key Features Multi-Timeframe Extreme Signals : Detects Extreme signals (overbought/oversold conditions) on both current and higher timeframes simultaneously, a rare feature that enhances signal reliability through trend alignment. Professional Visual Themes : Eight distinct themes (e.g., Neon Contrast, Fire Gradient) optimized for dark backgrounds. Dual-Mode Dashboard : Choose between Full Professional (detailed metrics) or Simplified Trader (essential info with custom notes). Bollinger Band Squeeze Detection : Identifies low volatility periods (narrow bands) signaling potential sideways markets or breakouts. Confirmation Labels : Displays labels when current timeframe signals align with recent higher timeframe signals, highlighting potential consolidations or squeezes. Timeframe Validation : Prevents selecting the same timeframe for current and higher timeframe analysis. Customizable Visualization : Toggle signal dots, EMA 50, and confirmation labels for a clean chart experience. How It Works The BBMA Enhanced Pro combines Bollinger Bands (20-period SMA, ±2 standard deviations) with WMA (5 and 10 periods) to generate trade signals: Buy Signal : WMA 5 Low crosses above the lower Bollinger Band, indicating a recovery from an oversold condition (Extreme buy). Sell Signal : WMA 5 High crosses below the upper Bollinger Band, signaling a rejection from an overbought condition (Extreme sell). Extreme Signals : Occur when prices or WMAs move significantly beyond the Bollinger Bands (±2σ), indicating statistically rare overextensions. These often coincide with Bollinger Band Squeezes (narrow bands, low standard deviation), signaling potential sideways markets or impending breakouts. Multi-Timeframe Confirmation : The indicator’s unique strength is its ability to detect Extreme signals on both the current and higher timeframe (HTF) within the same chart. When the HTF generates an Extreme signal (e.g., buy), and the current timeframe follows with an identical signal, it suggests the lower timeframe is aligning with the HTF’s trend, increasing reliability. Labels appear only when this alignment occurs within a user-defined lookback period (default: 50 bars), highlighting periods of band contraction across timeframes. Bollinger Band Squeeze : Narrow bands (low standard deviation) indicate reduced volatility, often preceding consolidation or breakouts. The indicator’s dashboard tracks band width, helping traders anticipate these phases. Why Multi-Timeframe Extremes Matter The BBMA Enhanced Pro’s multi-timeframe approach is rare and powerful. When the higher timeframe shows an Extreme signal followed by a similar signal on the current timeframe, it suggests the market is following the HTF’s trend or entering a consolidation phase. For example: HTF Sideways First : If the HTF Bollinger Bands are shrinking (low volatility, low standard deviation), it signals a potential sideways market. Waiting for the current timeframe to show a similar Extreme signal confirms this consolidation, reducing the risk of false breakouts. Risk Management : By requiring HTF confirmation, the indicator encourages traders to lower risk during uncertain periods, waiting for both timeframes to align in a low-volatility state before acting. Usage Instructions Select Display Mode : Current TF Only : Shows Bollinger Bands and WMAs on the chart’s timeframe. Higher TF Only : Displays HTF bands and WMAs. Both Timeframes : Combines both for comprehensive analysis. Choose Higher Timeframe : Select from 1min to 1D (e.g., 15min, 1hr). Ensure it differs from the current timeframe to avoid validation errors. Enable Signal Dots : Visualize buy/sell Extreme signals as dots, sourced from current, HTF, or both timeframes. Toggle Confirmation Labels : Display labels when current timeframe Extremes align with recent HTF Extremes, signaling potential squeezes or consolidations. Customize Dashboard : Full Professional Mode : View metrics like BB width, WMA trend, and last signal. Simplified Trader Mode : Focus on essential info with custom trader notes. Select Visual Theme : Choose from eight themes (e.g., Ice Crystal, Royal Purple) for optimal chart clarity. Trading Example Setup : 5min chart, HTF set to 1hr, signal dots and confirmation labels enabled. Buy Scenario : On the 5min chart, WMA 5 Low crosses above the lower Bollinger Band (Extreme buy), confirmed by a recent 1hr Extreme buy signal within 50 bars. The dashboard shows narrow bands (squeeze), and a green label appears. Action : Enter a long position, targeting the middle band, with a stop-loss below the recent low. The HTF confirmation suggests a strong trend or consolidation phase. Sell Scenario : WMA 5 High crosses below the upper Bollinger Band on the 5min chart, confirmed by a recent 1hr Extreme sell signal. The dashboard indicates a squeeze, and a red label appears. Action : Enter a short position, targeting the middle band, with a stop-loss above the recent high. The aligned signals suggest a potential reversal or sideways market. Customization Options BBMA Display Mode : Current TF Only, Higher TF Only, or Both Timeframes. Higher Timeframe : 1min to 1D. Visual Theme : Eight professional themes (e.g., Neon Contrast, Forest Glow). Line Style : Smooth or Step Line for HTF plots. Signal Dots : Enable/disable, select timeframe source (Current, Higher, or Both). Confirmation Labels : Toggle and set lookback window (1-100 bars). Dashboard : Enable/disable, choose mode (Full/Simplified), and set position (Top Right, Bottom Left, etc.). Notes Extreme Signals and Squeezes : Extreme signals often occur during Bollinger Band contraction (low standard deviation), signaling potential sideways markets or breakouts. Use HTF confirmation to filter false signals. Risk Management : If the HTF shows a squeeze (narrow bands), wait for the current timeframe to confirm with an Extreme signal to reduce risk in choppy markets. Limitations : Avoid trading Extremes in highly volatile markets without additional confirmation (e.g., volume, RSI). Author Enhanced Professional Edition, inspired by Omar Ali’s BBMA strategy Version : 6.0 Pro - Simplified Last Updated : September 2025 License : Mozilla Public License 2.0 We’d love to hear your feedback! Share your thoughts or questions in the comments below.
Wskaźnik Pine Script®
od genesismatrixcg
Major & Modern Wars TimelineDescription: This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts. Features: Displays start (red line + label) and end (green line + label) for each war. Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq). Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War. For ongoing conflicts, the end date is set to 2025 for timeline visualization. Customizable: label position (above/below bar), line width. Works on any chart timeframe, overlaying events on financial data. Use case: Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Wskaźnik Pine Script®
od dragosmarzac
Major & Modern Wars TimelineDescription: This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts. Features: Displays start (red line + label) and end (green line + label) for each war. Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq). Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War. For ongoing conflicts, the end date is set to 2025 for timeline visualization. Customizable: label position (above/below bar), line width. Works on any chart timeframe, overlaying events on financial data. Use case: Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Wskaźnik Pine Script®
od dragosmarzac
Kitti-Playbook ATR Study R0 Date : Aug 22 2025 Kitti-Playbook ATR Study R0 This is used to study the operation of the ATR Trailing Stop on the Long side, starting from the calculation of True Range. 1) Studying True Range Calculation 1.1) Specify the Bar graph you want to analyze for True Range.
Enable "Show Selected Price Bar" to locate the desired bar. 1.2) Enable/disable "Display True Range" in the Settings.
True Range is calculated as:
TR = Max (|H - L|, |H - Cp|, |Cp - L|) • Show True Range:
Each color on the bar represents the maximum range value selected: ◦ |H - L| = Green ◦ |H - Cp| = Yellow ◦ |Cp - L| = Blue • Show True Range on Selected Price Bar:
An arrow points to the range, and its color represents the maximum value chosen: ◦ |H - L| = Green ◦ |H - Cp| = Yellow ◦ |Cp - L| = Blue • Show True Range Information Table:
Displays the actual values of |H - L|, |H - Cp|, and |Cp - L| from the selected bar. 2) Studying Average True Range (ATR) 2.1) Set the ATR Length in Settings.
Default value: ATR Length = 14 2.2) Enable/disable "Display Average True Range (RMA)" in Settings: • Show ATR • Show ATR Length from Selected Price Bar
(An arrow will point backward equal to the ATR Length) 3) Studying ATR Trailing 3.1) Set the ATR Multiplier in Settings.
Default value: ATR Multiply = 3 3.2) Enable/disable "Display ATR Trailing" in Settings: • Show High Line • Show ATR Bands • Show ATR Trailing 4) Studying ATR Trailing Exit (Occurs when the Close price crosses below the ATR Trailing line) Enable/disable "Display ATR Trailing" in Settings: • Show Close Line • Show Exit Points
(Exit points are marked by an orange diamond symbol above the price bar)
Wskaźnik Pine Script®
od Kittimasak_S