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Trend Analysis

Theil-Sen Line Filter [BackQuant]Theil-Sen Line Filter A robust, median-slope baseline that tracks price while resisting outliers. Designed for the chart pane as a clean, adaptive reference line with optional candle coloring and slope-flip alerts. What this is A trend filter that estimates the underlying slope of price using a Theil-Sen style median of past slopes, then advances a baseline by a controlled fraction of that slope each bar. The result is a smooth line that reacts to real directional change while staying calm through noise, gaps, and single-bar shocks. Why Theil-Sen Classical moving averages are sensitive to outliers and shape changes. Ordinary least squares is sensitive to large residuals. The Theil-Sen idea replaces a single fragile estimate with the median of many simple slopes, which is statistically robust and less influenced by a few extreme bars. That makes the baseline steadier in choppy conditions and cleaner around regime turns. What it plots Filtered baseline that advances by a fraction of the robust slope each bar. Optional candle coloring by baseline slope sign for quick trend read. Alerts when the baseline slope turns up or down. How it behaves (high level) Looks back over a fixed window and forms many “current vs past” bar-to-bar slopes. Takes the median of those slopes to get a robust estimate for the bar. Optionally caps the magnitude of that per-bar slope so a single volatile bar cannot yank the line. Moves the baseline forward by a user-controlled fraction of the estimated slope. Lower fractions are smoother. Higher fractions are more responsive. Inputs and what they do Price Source — the series the filter tracks. Typical is close; HL2 or HLC3 can be smoother. Window Length — how many bars to consider for slopes. Larger windows are steadier and slower. Smaller windows are quicker and noisier. Response — fraction of the estimated slope applied each bar. 1.00 follows the robust slope closely; values below 1.00 dampen moves. Slope Cap Mode — optional guardrail on each bar’s slope: None — no cap. ATR — cap scales with recent true range. Percent — cap scales with price level. Points — fixed absolute cap in price points. ATR Length / Mult, Cap Percent, Cap Points — tune the chosen cap mode’s size. UI Settings — show or hide the line, paint candles by slope, choose long and short colors. How to read it Up-slope baseline and green candles indicate a rising robust trend. Pullbacks that do not flip the slope often resolve in trend direction. Down-slope baseline and red candles indicate a falling robust trend. Bounces against the slope are lower-probability until proven otherwise. Flat or frequent flips suggest a range. Increase window length or decrease response if you want fewer whipsaws in sideways markets. Use cases Bias filter — only take longs when slope is up, shorts when slope is down. It is a simple way to gate faster setups. Stop or trail reference — use the line as a trailing guide. If price closes beyond the line and the slope flips, consider reducing exposure. Regime detector — widen the window on higher timeframes to define major up vs down regimes for asset rotation or risk toggles. Noise control — enable a cap mode in very volatile symbols to retain the line’s continuity through event bars. Tuning guidance Quick swing trading — shorter window, higher response, optionally add a percent cap to keep it stable on large moves. Position trading — longer window, moderate response. ATR cap tends to scale well across cycles. Low-liquidity or gappy charts — prefer longer window and a points or ATR cap. That reduces jumpiness around discontinuities. Alerts included Theil-Sen Up Slope — baseline’s one-bar change crosses above zero. Theil-Sen Down Slope — baseline’s one-bar change crosses below zero. Strengths Robust to outliers through median-based slope estimation. Continuously advances with price rather than re-anchoring, which reduces lag at turns. User-selectable slope caps to tame shock bars without over-smoothing everything. Minimal visuals with optional candle painting for fast regime recognition. Notes This is a filter, not a trading system. It does not account for execution, spreads, or gaps. Pair it with entry logic, risk management, and higher-timeframe context if you plan to use it for decisions.
Pine Script® indicator
by BackQuant
Fisher Volume Transform | AlphaNattFisher Volume Transform | AlphaNatt A powerful oscillator that applies the Fisher Transform - converting price into a Gaussian normal distribution - while incorporating volume weighting to identify high-probability reversal points with institutional participation. "The Fisher Transform reveals what statistics professors have known for decades: when you transform market data into a normal distribution, turning points become crystal clear." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎲 THE MATHEMATICS Fisher Transform Formula: The Fisher Transform converts any bounded dataset into a Gaussian distribution: y = 0.5 × ln((1 + x) / (1 - x)) Where x is normalized price (-1 to 1 range) Why This Matters: Market extremes become statistically identifiable Turning points are amplified and clarified Removes the skew from price distributions Creates nearly instantaneous signals at reversals Volume Integration: Unlike standard Fisher Transform, this version weights price by relative volume: High volume moves get more weight Low volume moves get filtered out Identifies institutional participation Reduces false signals from retail chop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 KEY ADVANTAGES Statistical Edge: Transforms price into normal distribution where extremes are mathematically defined Volume Confirmation: Only signals with volume support Early Reversal Detection: Fisher Transform amplifies turning points Clean Signals: Gaussian distribution reduces noise No Lag: Mathematical transformation, not averaging ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS OPTIMIZATION Fisher Period (5-30): 5-9: Very sensitive, many signals 10: Default - balanced sensitivity 15-20: Moderate smoothing 25-30: Major reversals only Volume Weight (0.1-1.0): 0.1-0.3: Minimal volume influence 0.5-0.7: Balanced price/volume 0.7: Default - strong volume weight 0.8-1.0: Volume dominant ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 TRADING SIGNALS Primary Signals: Zero Cross Up: Bullish momentum shift Zero Cross Down: Bearish momentum shift Signal Line Cross: Early reversal warning Extreme Readings (±75): Potential reversal zones Visual Interpretation: Cyan zones: Bullish momentum Magenta zones: Bearish momentum Gradient intensity: Strength of move Histogram: Raw momentum power ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 OPTIMAL USAGE Best Market Conditions: Range-bound markets (reversals clear) High volume periods Major support/resistance levels Divergence hunting Trading Strategies: 1. Extreme Reversal: Enter when oscillator exceeds ±75 and reverses 2. Zero Line Momentum: Trade crosses of zero line with volume confirmation 3. Signal Line Strategy: Early entry on signal line crosses 4. Divergence Trading: Price makes new high/low but Fisher doesn't ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt | Quantitative Trading Systems Version: 1.0 Classification: Statistical Transform Oscillator Not financial advice. Always DYOR.
Pine Script® indicator
by AlphaNatt
Logarithmic Bollinger Bands with Secondary BandThe Logarithmic Bollinger Bands indicator is a variation of standard Bollinger Bands that applies the calculation on a logarithmic scale rather than directly on price values. This approach is particularly useful in markets where assets experience exponential growth or large percentage-based moves, as it allows the bands to adapt proportionally instead of being distorted by absolute price changes. The indicator calculates a moving average of the log-transformed price (the basis), then adds and subtracts multiples of the standard deviation of the log price to form the upper and lower bands. Finally, the results are converted back to normal price scale for plotting. In addition to the primary bands set at 2.0 standard deviations, this version includes a secondary band set at 0.5 standard deviations, offering a closer inner envelope around the mean. To use this indicator Traders can observe how price interacts with both the inner and outer bands. The outer 2.0 standard deviation bands represent traditional Bollinger-style boundaries, highlighting potential overbought or oversold conditions when price pushes beyond them. The inner 0.5 bands provide an earlier signal of price compression and breakout potential, as moves outside these tighter bands often precede larger volatility expansions. Together, these dual layers give traders a way to monitor both short-term fluctuations and broader trend extremes, making it easier to spot opportunities for entries, exits, or risk management in markets where percentage-based scaling is more meaningful than raw price levels.
Pine Script® indicator
by ozzy_livin
TEWMA - [JTCAPITAL]Triple Exponential Weighted Moving Average is a modified way to use Weighted Triple Moving Averages for Trend-Following The indicator works by calculating in the following steps: 1. The length gets multiplied by the multi to get the second length. 2. The Triple Exponential Moving Average gets calculated using the Weighted Moving Average as input. 3. This calculation is done over the first and the second length. 4. The average from both calculations is taken and used for buy and sell conditions. --Buy and sell conditions-- -The buy and sell conditions are defined by the average of both indicators having a higher value than the previous bar. -Average higher than the previous average = Long -Average lower than the previous average = Short --Features and Parameters-- -Allows the usage of different sources -Allows the changing of the calculation length -Allows the changing of the multiplier to determine the second length -Allows the use of alerts for signal changes --Details-- This script uses the result of the calculation of the Weighted Moving Averages as inputs for the Triple Moving averages. The usage of 2 separate calculations and using the average of them for trend determination is to allow for faster entries and exits while limiting potential false signals. Enjoy!
Pine Script® indicator
by JTCapitalNL
Auto-Anchored MA with Deviation BandsAuto-Anchored MA with Deviation Bands ✨ Features 📈 Auto-Anchored MA: Calculates moving averages (EMA, SMA, EWMA, WMA, VWAP, TEMA) anchored to user-defined periods (Hour, Day, Week, etc.).📏 Deviation Bands: Plots upper/lower bands using Percentage or Standard Deviation modes for volatility analysis.⚙️ Customizable Timeframes: Choose anchor periods from Hour to Year for flexible trend analysis.🎨 Visuals: Displays MA and bands with gradient fills, customizable colors, and adjustable display bars.⏱️ Countdown Table: Shows bars since the last anchor for easy tracking.🛠️ Smoothing: Applies smoothing to bands for cleaner visuals. 🛠️ How to Use Add to Chart: Apply the indicator on TradingView. Configure Inputs: Anchor Settings: Select anchor period (e.g., Day, Week). MA Settings: Choose MA type (e.g., VWAP, TEMA). Deviation Settings: Set deviation mode (Percentage/Std Dev) and multipliers. Display Settings: Adjust bars to display, colors, and gradient fill. Analyze: View MA, deviation bands, and countdown table on the chart. Track Trends: Use bands as dynamic support/resistance and monitor anchor resets. 🎯 Why Use It? Dynamic Analysis: Auto-anchors MA to key timeframes for adaptive trend tracking. Volatility Insight: Deviation bands highlight potential breakouts or reversals. Customizable: Tailor MA type, timeframe, and visuals to your trading style. User-Friendly: Clear visuals and countdown table simplify analysis. 📝 Notes Ensure sufficient bars for accurate MA and deviation calculations. Gradient fill enhances readability but can be disabled for simplicity. Best used with complementary indicators like RSI or Bollinger Bands for robust strategies. Happy trading! 🚀📈
Pine Script® indicator
by AlchimistOfCrypto
BTC 1D — Trend START/END Signals (clean, no repaint) This strategy is designed primarily for BTC on the daily (1D) timeframe in TradingView. BUY (start of uptrend) Fast EMA is above Slow EMA. Price breaks above the previous Donchian high. Optional filters (if enabled): volume surge and strong momentum/RSI. Only one BUY per uptrend—no additional buys until a SELL occurs. SELL (end of uptrend) Price falls below the previous Donchian low, or Price drops below the Slow EMA, or Momentum flips bearish (DI− > DI+ or RSI ≤ threshold). One SELL marks the end of the uptrend.
Pine Script® indicator
by Frodo1978
AMF PG Strategy_v2The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments. Key points include: Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line. Praetorian Guard – A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent. Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments. Clarity – Clear visual signals and color-coded monitoring for instant decision-making. This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading. Disclaimer: It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user. Version 2: Bugs overlooked in Version 1 have been corrected and improvements have been made.
Pine Script® strategy
by blntdmn
TEMA Ribbon 9/13/15/21 – Smooth trend shifts, less lag, clearer“TEMA Ribbon 9/13/15/21 – Smooth trend shifts, less lag, clearer bias.” Plots four Triple Exponential Moving Averages (9, 13, 15, 21) with shaded zones for quick trend visualization. Helps identify short- vs. medium-term momentum shifts with reduced lag compared to standard EMAs. Recommended Usage: Best applied on 5M–1H intraday charts for momentum and trend confirmation. Use the 9 & 13 TEMA for short-term momentum shifts. Use the 15 & 21 TEMA for medium-term bias. Look for crossovers and alignment (all fast TEMAs above/below slow ones) to confirm bullish or bearish conditions. Shaded zones help visualize when the short- and medium-term trends converge or diverge, signaling potential entry or exit points. Combine the TEMA Ribbon with VWAP or session-based trading (e.g., London/New York Killzones) to filter signals. Trade only in the direction of VWAP bias (price above VWAP → favor longs, below → favor shorts). Within Killzones, use TEMA alignment (9/13 above 15/21 = bullish trend, or opposite for bearish) as confirmation before entries. This reduces false signals and locks entries to periods of high liquidity and volatility, where TEMA shines. //@version=5 indicator("TEMA 9/13/15/21", overlay=true) // Quelle src = close // Funktion: TEMA tema(src, length) => e1 = ta.ema(src, length) e2 = ta.ema(e1, length) e3 = ta.ema(e2, length) 3.0 * e1 - 3.0 * e2 + e3 // TEMA-Berechnung t9 = tema(src, 9) t13 = tema(src, 13) t15 = tema(src, 15) t21 = tema(src, 21) // Plots p9 = plot(t9, "TEMA 9", color=color.teal, linewidth=2) p13 = plot(t13, "TEMA 13", color=color.aqua, linewidth=2) p15 = plot(t15, "TEMA 15", color=color.orange, linewidth=2) p21 = plot(t21, "TEMA 21", color=color.fuchsia, linewidth=2) // Einfaches Fill (zwischen schnellstem und langsamstem) fill(p9, p21, color=color.new(color.gray, 85)) fill(p13, p15, color=color.new(color.gray, 92))
Pine Script® indicator
by ChrisNeuwirth
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
Pine Script® indicator
by AlphaNatt
1
PCV (Darren.L-V2)Description: This indicator combines Bollinger Bands, CCI, and RVI to help identify high-probability zones on M15 charts. Features: Bollinger Bands (BB) – displayed on the main chart in light gray. Helps visualize overbought and oversold price levels. CCI ±100 levels + RVI – displayed in a separate sub-window: CCI only shows the ±100 reference lines. RVI displays a cyan main line and a red signal line. Valid Zone Detection: Candle closes outside the Bollinger Bands. RVI crosses above +100 or below -100 (CCI level reference). Candle closes back inside the BB, confirming a price rebound. Requires two touches in the same direction to confirm the zone. Only zones within 20–30 pips range are considered valid. Usage: Helps traders spot reversal or bounce zones with clear visual signals. Suitable for all indices, Forex, and crypto on M15 timeframe.
Pine Script® indicator
by lawwaikean
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
Pine Script® indicator
by AlphaNatt
2
AVWAP+RSI Confluence — 1R TesterRSI + 1R ATR - Monthly P\&L (v4) WHAT THIS STRATEGY DOES (OVERVIEW) * Pine strategy (v4) that combines a simple momentum trigger with a symmetric 1R ATR risk model and an on-chart Monthly/Yearly P\&L table. * Momentum filter: trades only when RSI crosses its own SMA in the direction of the trend (price vs Trend EMA). * Risk engine: exits use fixed 1R ATR brackets captured at entry (no drifting targets/stops). * Accounting: the table aggregates percentage returns by month and year using strategy equity. ENTRY LOGIC (LONGS & OPTIONAL SHORTS) Indicators used: * RSI(rsiLen) and its SMA: SMA(RSI, rsiMaLen) * Trend filter: EMA(emaTrendLen) on price Longs: 1. RSI crosses above its RSI SMA 2. RSI > rsiBuyThr (filters weak momentum) 3. Close > EMA(emaTrendLen) Shorts (optional via enableShort): 1. RSI crosses below its RSI SMA 2. RSI < rsiSellThr 3. Close < EMA(emaTrendLen) EXIT LOGIC AND RISK MODEL (1R ATR) * On entry, snapshot ATR(atrLen) into atrAtEntry and the average fill price into entryPx. * Longs: stop = entryPx - ATR \* atrMult; target = entryPx + ATR \* atrMult * Shorts: mirrored. * Stops and targets are posted immediately and remain fixed for the life of the trade. POSITION SIZING AND COSTS * Default position size: 25% of equity per trade (adjustable in Properties/inputs). * Commission percent and a small slippage are set in strategy() so backtests include friction by default. MONTHLY / YEARLY P\&L TABLE (HOW IT WORKS) * Uses strategy equity to compute bar returns: equity / equity\ - 1. * Compounds bar returns into current month and current year; commits each finished period at month/year change (or last bar). * Renders rows as years; columns Jan..Dec plus a Year total column. * Cells colored by sign; precision and maximum rows are controlled by inputs. * Values represent percentage returns, not currency P\&L. VISUAL AIDS * Two pivot trails (pivot high/low) are plotted for context only; they do not affect entries or exits. CUSTOMIZATION TIPS * Raise rsiBuyThr (long) or lower rsiSellThr (short) to filter weak momentum. * Increase emaTrendLen to tighten trend alignment. * Adjust atrLen and atrMult to fit your timeframe/instrument volatility. * Leave enableShort = false if you prefer long-only behavior or shorting is constrained. NON-REPAINTING AND BACKTEST NOTES * Signals use bar-close crosses of built-in indicators (RSI, EMA, ATR); no future bars are referenced. * calc\_on\_every\_tick = true for responsive visuals; Strategy Tester evaluates on bar close in history. * Backtest stop/limit fills are simulated and may differ from live execution/liquidity. DISCLAIMERS * Educational use only. This is not financial advice. Markets involve risk. Past performance does not guarantee future results. INPUTS (QUICK REFERENCE) * rsiLen, rsiMaLen, rsiBuyThr, rsiSellThr * emaTrendLen * atrLen, atrMult, enableShort * leftBars, rightBars, prec, showTable, maxYearsRows SHORT TAGLINE RSI momentum with 1R ATR brackets and a built-in Monthly/Yearly P\&L table. TAGS strategy, RSI, ATR, trend, risk-management, backtest, Pine-v4
Pine Script® strategy
by rushikeshy3
1
Greer Gap# Greer Gap Indicator (No mitigation: i.e. removing false signals) ## Summary The **Greer Gap Indicator** identifies **Fair Value Gaps (FVGs)** and introduces specialized **Greer Bull Gaps (Blue)** and **Greer Bear Gaps (Orange)** to highlight high-probability trading opportunities. Unlike traditional FVG indicators, it avoids hindsight bias by not removing historical gaps based on future price action, ensuring transparency in signal accuracy. Built upon LuxAlgo’s FVG logic, it adds unique filtering: only the first Greer Gap after an opposite gap is plotted if its level (min for Bull, max for Bear) is not higher/lower than the previous Greer Gap of the same type, while all valid gaps are recorded for comparison. Traders can use these gaps as support/resistance or entry signals, customizable via timeframe, look back, and display options. ## Description This indicator detects and displays **Fair Value Gaps (FVGs)** on the chart, with a focus on specialized **Greer Gaps**: - **Bullish Gaps (Green)**: Areas where the low of the current candle is above the high of a previous candle (look back period), indicating potential upward momentum. - **Bearish Gaps (Red)**: Areas where the high of the current candle is below the low of a previous candle, indicating potential downward momentum. - **Greer Bull Gaps (Blue)**: A bullish gap that is above the latest bearish gap's max. Only the first such gap after a bearish gap is plotted if it meets criteria (not higher than the previous Greer Bull Gap's min), but all valid ones are recorded for comparison. - **Greer Bear Gaps (Orange)**: A bearish gap that is below the latest bullish gap's min. Only the first such gap after a bullish gap is plotted if it meets criteria (not lower than the previous Greer Bear Gap's max), but all valid ones are recorded. ## How It Works The script uses a dynamic look back period to detect FVGs. It maintains a record of all detected gaps and applies additional logic for Greer Gaps: - **Greer Bull Gaps**: Checks if the new bullish gap's min is above the latest bearish gap's max. Plots only if it's the first since the last bearish gap and its min is <= previous Greer Bull min (or first one). - **Greer Bear Gaps**: Checks if the new bearish gap's max is below the latest bullish gap's min. Plots only if it's the first since the last bullish gap and its max is >= previous Greer Bear max (or first one). - **Resets**: A new bearish gap resets the Greer Bull Gap flag, and a new bullish gap resets the Greer Bear Gap flag. ## How to Use - **Timeframe**: Set a higher timeframe (e.g., 'D' for daily) to detect gaps from that timeframe on the current chart. - **Look back Period**: Adjust to change gap detection sensitivity (default: 34). Use 2 if you want to compare to LuxAlgo - **Extend**: Controls how far right the gap boxes extend. - **Show Options**: Toggle visibility of all bullish/bearish gaps or Greer Gaps. - **Colors**: Customize colors for each gap type. - **Application**: Use Greer Gaps as potential support/resistance levels or entry signals, but combine with other analysis for confirmation. ## Originality and Credits This script is inspired by and builds upon the **"Fair Value Gap "** indicator by LuxAlgo (available on TradingView: ()). **Credits**: Thanks to LuxAlgo for the core FVG detection logic. **Significant Changes**: - Added **Greer Bull and Bear Gap** logic for filtered, directional gaps with reset mechanisms. - Introduced recording of all valid Greer Gaps without plotting all, to compare levels without hindsight bias. - **No mitigation/removal of gaps**: Unlike LuxAlgo's approach, which mitigates (removes or alters) gaps based on future price action (e.g., when filled), this can create a hindsight bias where incorrect signals disappear over time. If a signal is used for a trade and later removed due to new data, it doesn't reflect real-time performance accurately. The Greer Gap avoids this by using gap comparisons to validate signals without altering historical boxes, ensuring transparency in when signals were right or wrong.
Pine Script® indicator
by controllinghand
Range Trading Strategy This indicator automatically marks the intraday trading range defined by the first four hours of the New York session (6:00 AM to 10:00 AM EST/EDT). It calculates the highest high and lowest low within that window on a user-selected calculation timeframe, then projects those levels forward as horizontal lines that remain visible across any chart timeframe. The lines can be displayed in real time while the window is forming or locked once the session ends, and optional price labels and background shading make the range easy to track. Traders can use these reference levels to monitor potential breakout or reversal zones, manage risk, and plan entries/exits relative to the early session’s defined support and resistance. For training check this video youtu.be
Pine Script® indicator
by wpscrm
Valid Monthly LevelsValid Monthly Levels (No Sweeps) + Smart Labels This tool automatically plots the highs and lows of each completed monthly candle and tracks their validity in real time. A level is considered valid until it has been swept (price trades strictly beyond that high or low). Once swept, the line and label can either be removed or dimmed depending on your settings. Key features: Monthly highs and lows: Each month’s range is marked with horizontal levels that extend forward. Valid vs. swept logic: Levels are only valid until breached; swept levels can be hidden or kept as dotted/grey lines. Smart labels: Each level is labeled with the month and year (e.g., Sep ’25 H/L). On higher timeframes, labels sit at the candle; on lower timeframes, labels automatically shift to the right edge so they don’t disappear off-screen. Customizable appearance: Choose colors for highs, lows, and swept levels; adjust line styles; and limit how many past months are shown. Clutter control: Cap the maximum number of labels, so your chart stays readable even on small intraday timeframes. This indicator is useful for traders who track monthly supply/demand extremes, liquidity sweeps, and higher-timeframe context when executing on lower timeframes.
Pine Script® indicator
by JaydenUnplugged