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Double Accelerator OscillatorThis is a modified version of Bill Williams' Accelerator. The Accelerator measures the difference between the Awesome Oscillator(another Williams indicator) and its 5 day SMA. This script plots 2 accelerators rather than 1. Users can define the lengths of the fast and slow SMA's used in the Awesome Oscillator calculation by adjusting the options in the input menu. We set the default the lengths of the fast and slow SMA's used in the first Awesome Oscillator calculation as 34 and 7 periods. Then to find the Accelerator Oscillator, the difference between the Awesome Oscillator and its 7 period SMA is calculated. The second Accelerator uses shorter window lengths than the first. The fast SMA length is 5 by default and the slow SMA length is 18. Finally, the length of the Awesome Oscillator SMA used to calculate the second Accelerator Oscillator is 3. By utilizing two Accelerator Oscillators with increasingly shorter window lengths, this indicator identifies changes in momentum very well. The red and green histogram represents the first Accelerator Oscillator. It is green when the Accelerator is increasing and red when it is decreasing. I found this layout to be more practical than the standard, which plots the AC as green when it is greater than 0 and red when less than zero. The second Accelerator Oscillator is plotted as the bright green and pink circle line. It uses the same coloring conditions as above.
Pine Script® indicator
by ProfitProgrammers
3
TheStocksDoctor_WVF + ADX + CCIThis script is a modified version of CM Williams Vix Fix for which I have added an indicator that shows when ADX and CCI are both indicating positive momentum - highlighted by green bars. This is part of TheStocksDoctor Trading System. Inputs are as follows: Lookback period Standard Deviation High ---> 22 Bolinger Band Length ---> 20 Bollinger Band Standard Dev.. ---> 2 Lookback period percentile high ---> 50 Highest Percentile ---> 0.85 ----Highlight bars Below... ---> Show Highlight bar if WVF WAS true is now False ---> Show highlight bar if WVF IS True ---> ----Highlight bars Below Use Filtered... ---> Show highlight bar for filtered entry ---> Show highlight bar for AGGRESSIVE Filtered Entry? ---> Check below to Turn all Bars Gray ---> Check box to Turn Bars gray? ---> Long-term look back current bar has to close Below... ---> 40 Medium-term look back current bar has to close below... ---> 14 Entry price action strength --close... ---> 3 --------Turn On/Off Alerts below... ---> ---To activate alerts you HAVE To Check... ---> ---You can un Check the box BELOW... ---> Show Williams Vix Fix Histogram... ---> Show Alert WVF = True? ---> Show Alert WVF wa true now False? ---> Show Alert WVF Filtered? ---> Show Alert WVF AGGRESSIVE Filter? ---> ADX Smoothing ---> 17 DI Length ---> 17
Pine Script® indicator
by pppFund
3
MFIww2 MFI/RSI [wozdux]Bill Williams indicator (MFI). The indicator calculates the range of oscillations per unit volume. In fact, this indicator shows the tick volume or the readiness of the market to move the price. The indicator is presented as vertical columns or as a line with levels. Vertical columns are painted in different colors depending on the displacement of the indicator and the displacement of the volume. The indicator can increase or decrease (+-). The volume can also increase or decrease (+-). The combination of these factors generates four types of indicator columns. ++ lime +- dark green -+ red -- orange The red bar on Williams is a squat bar. This bar is important for market reversal indication. ------------------------------- Индикатор Билла Вильямса (MFI). Индикатор вычисляет диапазон колебаний на единицу объема. Фактически этот индикатор показывает тиковый объем или готовность рынка переместить цену. Индикатор представлен в виде вертикальных колонок или в виде линии с уровнями. Вертикальные колонки раскрашены в различные цвета в зависимости от смещения индикатора и смещения объема. Индикатор может увеличиваться или уменьшаться (+-). Объем также может увеличиваться или уменьшаться (+-). Сочетание этих факторо порождает четыре вида столбиков индикатора. ++ салатный +- темно-зеленый -+ красный -- оранжевый Красный столбик по Вильямсу есть приседающий бар. Этот бар важен для индикации разворота рынка.
Pine Script® indicator
by wozdux
3
ULTIMATE ICHIMOKU TRADING SUITEThis is an update of "Uncle Mo's Ultimate Ichimoku V1" Main features: 2 x Ichimoku Cloud 5 x EMA 2 x MA 1 x HullMA Williams Fractal Bollinger Bands - ***NEW*** ATR - ***NEW*** PSAR - ***NEW*** Candlestick Patterns - ***NEW*** Price Action Bars- ***NEW*** List of credits: @br0qn for the Ichimoku @RicardoSantos for the Bill Williams Fractal @EmilianoMesa for the EMAs/MAs @mohamed982 for the HullMA @ymaheshreddy4u for the Bollinger Bands @ChrisMoody for the Price Action Bars and PSAR @HPotter for the ATR @repo32 for the Candlestick Patterns The script is open source and free to use. Feel free to change it around to suit your needs. ***If you copy & paste code from other traders to make your own script, please do remember to give them credit for their amazing work.*** Happy trading!
Pine Script® indicator
by GoldenRatioTA
9
Fractal Regression Bands [DW]This study is an experimental regression curve built around fractal and ATR calculations. First, Williams Fractals are calculated, and used as anchoring points. Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period. The median between the positive and negative sloping lines is then calculated, then the best fit line (linear regression) of the median is calculated to generate the basis line. Lastly, a Golden Mean ATR is taken of price over the sampling period and multiplied by 1/2, 1, 2, and 3. The results are added and subtracted from the basis line to generate the bands. Williams Fractals are included in the plots. The color scheme indicated whether each fractal is engulfing or non-engulfing. Custom bar color scheme is included.
Pine Script® indicator
by DonovanWall
4
Synthetic Vix StochasticI noticed that this indicator was not in the public library, so I decided to share it. This is Larry Williams take on stochastics, based on his idea of synthetic vix. Thanks to Active trader magazine, his article on the idea shows us how this tool can be used as a timing instrument for his sythetic vix. The idea he relates is that the market becomes oversold at the height of volatility and the stochastic can highlight the periods when the panic may be over. This is evidenced by readings above 80 and below 20. He states that his indicator is less reliable at market tops rather than bottoms, and evidence suggests just that. Stochastics readings in this indicator have been adjusted to look and 'feel' like traditional readings. His suggested settings are the default, but I have included a more traditional line in the code that reads the WVF high and low in the calculation instead of just the WVF, just uncomment the appropriate lines and see for yourself. This indicator works really well with the Williams Vix Fix, inverted of course, coded by ChrisMoody. Enjoy responsibly ShirokiHeishi see the notes on chart
Pine Script® indicator
by ShirokiHeishi
7
The Zone Trades v1.0The Zone is mention in New Trading Dimensions by Bill Williams,PhD. The Zone is used for Entry Signal Green Zone are painting Green Bars when Awesome Oscillator (AO) and Accelerater/Decelerator (AC) are both increasing. Red Zone are painting Red Bars when Awesome Oscillator (AO) and Accelerater/Decelerator (AC) are both decreasing. Gray Zone are painting Gray Bars AO and AC in difference changing Gray Zone are indicate the indecision between bulls and bears. Bill Williams, PhD. mention that Green Zone or Red Zone usually happen 6-8 bars Continuously. The First Bar that change to be Green or Red color is the Signal Bar. Entry Signal is the second bar in the same color as the Signal bar happen with Volume Price go higher the high of previous Green Bar is Buy Signal. Entry Buy (Long) and place Stop at 1 tick lower the Low of previous bar. Price go ;ower the Low of previous Red Bars is Sell Signal. Entry Sell (Short) and place Stop at 1 tick higher the High of previous bar. Do not Entry if Green Bars or Red Bars completed 5 bars continuously.
Pine Script® indicator
by WaveRiders
The Zone Trades v1.0The Zone v.1.0 The Zone is mention in New Trading Dimensions by Bill Williams,PhD. The Zone is used for Entry Signal of Both Long and Short side. Green Zone are painting Green Bars when Awesome Oscillator (AO) and Accelerater/Decelerator (AC) are both increasing. Red Zone are painting Red Bars when Awesome Oscillator (AO) and Accelerater/Decelerator (AC) are both decreasing. Gray Zone are painting Gray Bars AO and AC in difference changing. Gray Zone are indicate the indecision between bulls and bears. Bill Williams, PhD. mention that Green Zone or Red Zone usually happen 6-8 bars Continuously. The First Bar that change to be Green or Red color is the Signal Bar. Entry Signal is the second bar in the same color as the Signal bar happen with Volume Price go higher the high of previous Green Bar is Buy Signal. Entry Buy (Long) and place Stop at 1 tick lower the Low of previous bar. Price go ;ower the Low of previous Red Bars is Sell Signal. Entry Sell (Short) and place Stop at 1 tick higher the High of previous bar. Do not Entry if Green Bars or Red Bars completed 5 bars continuously.
Pine Script® indicator
by WaveRiders
CM ATR PercentileRankCM ATR PercentileRank - Great For Showing Market Bottoms. When Increased Volatility to the Downside Reaches Extreme Levels it’s Usually a Sign of a Market Bottom. This Indicator Takes the ATR and uses a different LookBack Period to calculate the Percentile Rank of ATR Which is a Great Way To Calculate Volatility Be Careful Of Using w/ Market Tops. Not As Reliable. ***Ability to Control ATR Period and set PercentileRank to Different Lookback Period ***Ability to Plot Histogram Just Showing Percentiles or Histogram Based on Up/Down Close Fuchsia Lines = Greater Than 90th Percentile of Volatility based on ATR and LookBack Period. Red Lines = Warning — 80-90th Percentile Orange Lines = 70-80th Percentile Other Useful Indicators Williams Vix Fix CM_RSI EMA Is a Great Filter for Williams Vix Fix
Pine Script® indicator
by ChrisMoody
27
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases. This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action. █ KEY FEATURES Momentum Histogram The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states: • Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation. • Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening. • Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation. • Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening. The color intensity provides immediate feedback on momentum strength and trend health. Squeeze State Indicator Colored dots on the zero line communicate the current volatility state: • Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility. A breakout is building and traders should prepare for directional movement. • Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility. Price is moving with conviction in the current direction. • Gray Dots — Neutral state. The bands are transitioning between squeeze states. Release Triangles Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing: • Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity. • Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity. Information Panel A compact dashboard in the top-right corner displays real-time trading intelligence: • Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding • Momentum Direction — Current bias: BULL or BEAR • Momentum Value — Precise numerical reading of momentum strength • Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR Configurable Parameters All calculation inputs are adjustable to match your trading style and timeframe: • BB Length — Bollinger Bands period (default: 20) • BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0) • KC Length — Keltner Channels period (default: 20) • KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5) • Momentum Length — Linear regression period for momentum calculation (default: 20) Alert System Four alert conditions notify you of critical trading opportunities: • Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry • Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry • Squeeze Started — Volatility compression detected, prepare for upcoming breakout • Squeeze Ended — Volatility expansion confirmed, breakout is active █ TRADING METHODOLOGY The indicator follows a clear four-step process for identifying and trading squeeze breakouts: 1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility. Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions. 2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal. The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction. 3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation: • Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout. • Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout. 4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color. When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops. █ INTERPRETATION GUIDE Squeeze Detection Logic A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when: • Standard deviation of price decreases (BB narrows) • Price consolidates within a tight range • Volatility compresses to unsustainable levels The orange dots signal this condition, warning traders that explosive movement is imminent. Squeeze Release Logic A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when: • Price volatility increases sharply • Price breaks out of consolidation • Volume typically expands (check volume separately) The green dots and release triangles signal this condition, indicating the direction and timing of the breakout. Momentum Reading The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range: • Above Zero : Price is trading above the range midpoint with bullish pressure • Below Zero : Price is trading below the range midpoint with bearish pressure • Increasing Bars : Momentum is strengthening in the current direction (darker color) • Decreasing Bars : Momentum is weakening in the current direction (lighter color) █ BEST PRACTICES • Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts. Lower timeframes may produce more false signals due to noise. • Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups. • Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail. • Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend. • Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes. █ LIMITATIONS • The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs. • False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses. • The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable. • Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action. █ NOTES This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide. The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets. █ CREDITS Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
Pine Script® indicator
by kingthies
1
Anomalous Holonomy Field Theory🌌 Anomalous Holonomy Field Theory (AHFT) - Revolutionary Quantum Market Analysis Where Theoretical Physics Meets Trading Reality A Groundbreaking Synthesis of Differential Geometry, Quantum Field Theory, and Market Dynamics 🔬 THEORETICAL FOUNDATION - THE MATHEMATICS OF MARKET REALITY The Anomalous Holonomy Field Theory represents an unprecedented fusion of advanced mathematical physics with practical market analysis. This isn't merely another indicator repackaging old concepts - it's a fundamentally new lens through which to view and understand market structure . 1. HOLONOMY GROUPS (Differential Geometry) In differential geometry, holonomy measures how vectors change when parallel transported around closed loops in curved space. Applied to markets: Mathematical Formula: H = P exp(∮_C A_μ dx^μ) Where: P = Path ordering operator A_μ = Market connection (price-volume gauge field) C = Closed price path Market Implementation: The holonomy calculation measures how price "remembers" its journey through market space. When price returns to a previous level, the holonomy captures what has changed in the market's internal geometry. This reveals: Hidden curvature in the market manifold Topological obstructions to arbitrage Geometric phase accumulated during price cycles 2. ANOMALY DETECTION (Quantum Field Theory) Drawing from the Adler-Bell-Jackiw anomaly in quantum field theory: Mathematical Formula: ∂_μ j^μ = (e²/16π²)F_μν F̃^μν Where: j^μ = Market current (order flow) F_μν = Field strength tensor (volatility structure) F̃^μν = Dual field strength Market Application: Anomalies represent symmetry breaking in market structure - moments when normal patterns fail and extraordinary opportunities arise. The system detects: Spontaneous symmetry breaking (trend reversals) Vacuum fluctuations (volatility clusters) Non-perturbative effects (market crashes/melt-ups) 3. GAUGE THEORY (Theoretical Physics) Markets exhibit gauge invariance - the fundamental physics remains unchanged under certain transformations: Mathematical Formula: A'_μ = A_μ + ∂_μΛ This ensures our signals are gauge-invariant observables , immune to arbitrary market "coordinate changes" like gaps or reference point shifts. 4. TOPOLOGICAL DATA ANALYSIS Using persistent homology and Morse theory: Mathematical Formula: β_k = dim(H_k(X)) Where β_k are the Betti numbers describing topological features that persist across scales. 🎯 REVOLUTIONARY SIGNAL CONFIGURATION Signal Sensitivity (0.5-12.0, default 2.5) Controls the responsiveness of holonomy field calculations to market conditions. This parameter directly affects the threshold for detecting quantum phase transitions in price action. Optimization by Timeframe: Scalping (1-5min): 1.5-3.0 for rapid signal generation Day Trading (15min-1H): 2.5-5.0 for balanced sensitivity Swing Trading (4H-1D): 5.0-8.0 for high-quality signals only Score Amplifier (10-200, default 50) Scales the raw holonomy field strength to produce meaningful signal values. Higher values amplify weak signals in low-volatility environments. Signal Confirmation Toggle When enabled, enforces additional technical filters (EMA and RSI alignment) to reduce false positives. Essential for conservative strategies. Minimum Bars Between Signals (1-20, default 5) Prevents overtrading by enforcing quantum decoherence time between signals. Higher values reduce whipsaws in choppy markets. 👑 ELITE EXECUTION SYSTEM Execution Modes: Conservative Mode: Stricter signal criteria Higher quality thresholds Ideal for stable market conditions Adaptive Mode: Self-adjusting parameters Balances signal frequency with quality Recommended for most traders Aggressive Mode: Maximum signal sensitivity Captures rapid market moves Best for experienced traders in volatile conditions Dynamic Position Sizing: When enabled, the system scales position size based on: Holonomy field strength Current volatility regime Recent performance metrics Advanced Exit Management: Implements trailing stops based on ATR and signal strength, with mode-specific multipliers for optimal profit capture. 🧠 ADAPTIVE INTELLIGENCE ENGINE Self-Learning System: The strategy analyzes recent trade outcomes and adjusts: Risk multipliers based on win/loss ratios Signal weights according to performance Market regime detection for environmental adaptation Learning Speed (0.05-0.3): Controls adaptation rate. Higher values = faster learning but potentially unstable. Lower values = stable but slower adaptation. Performance Window (20-100 trades): Number of recent trades analyzed for adaptation. Longer windows provide stability, shorter windows increase responsiveness. 🎨 REVOLUTIONARY VISUAL SYSTEM 1. Holonomy Field Visualization What it shows: Multi-layer quantum field bands representing market resonance zones How to interpret: Blue/Purple bands = Primary holonomy field (strongest resonance) Band width = Field strength and volatility Price within bands = Normal quantum state Price breaking bands = Quantum phase transition Trading application: Trade reversals at band extremes, breakouts on band violations with strong signals. 2. Quantum Portals What they show: Entry signals with recursive depth patterns indicating momentum strength How to interpret: Upward triangles with portals = Long entry signals Downward triangles with portals = Short entry signals Portal depth = Signal strength and expected momentum Color intensity = Probability of success Trading application: Enter on portal appearance, with size proportional to portal depth. 3. Field Resonance Bands What they show: Fibonacci-based harmonic price zones where quantum resonance occurs How to interpret: Dotted circles = Minor resonance levels Solid circles = Major resonance levels Color coding = Resonance strength Trading application: Use as dynamic support/resistance, expect reactions at resonance zones. 4. Anomaly Detection Grid What it shows: Fractal-based support/resistance with anomaly strength calculations How to interpret: Triple-layer lines = Major fractal levels with high anomaly probability Labels show: Period (H8-H55), Price, and Anomaly strength (φ) ⚡ symbol = Extreme anomaly detected ● symbol = Strong anomaly ○ symbol = Normal conditions Trading application: Expect major moves when price approaches high anomaly levels. Use for precise entry/exit timing. 5. Phase Space Flow What it shows: Background heatmap revealing market topology and energy How to interpret: Dark background = Low market energy, range-bound Purple glow = Building energy, trend developing Bright intensity = High energy, strong directional move Trading application: Trade aggressively in bright phases, reduce activity in dark phases. 📊 PROFESSIONAL DASHBOARD METRICS Holonomy Field Strength (-100 to +100) What it measures: The Wilson loop integral around price paths >70: Strong positive curvature (bullish vortex) <-70: Strong negative curvature (bearish collapse) Near 0: Flat connection (range-bound) Anomaly Level (0-100%) What it measures: Quantum vacuum expectation deviation >70%: Major anomaly (phase transition imminent) 30-70%: Moderate anomaly (elevated volatility) <30%: Normal quantum fluctuations Quantum State (-1, 0, +1) What it measures: Market wave function collapse +1: Bullish eigenstate |↑⟩ 0: Superposition (uncertain) -1: Bearish eigenstate |↓⟩ Signal Quality Ratings LEGENDARY: All quantum fields aligned, maximum probability EXCEPTIONAL: Strong holonomy with anomaly confirmation STRONG: Good field strength, moderate anomaly MODERATE: Decent signals, some uncertainty WEAK: Minimal edge, high quantum noise Performance Metrics Win Rate: Rolling performance with emoji indicators Daily P&L: Real-time profit tracking Adaptive Risk: Current risk multiplier status Market Regime: Bull/Bear classification 🏆 WHY THIS CHANGES EVERYTHING Traditional technical analysis operates on 100-year-old principles - moving averages, support/resistance, and pattern recognition. These work because many traders use them, creating self-fulfilling prophecies. AHFT transcends this limitation by analyzing markets through the lens of fundamental physics: Markets have geometry - The holonomy calculations reveal this hidden structure Price has memory - The geometric phase captures path-dependent effects Anomalies are predictable - Quantum field theory identifies symmetry breaking Everything is connected - Gauge theory unifies disparate market phenomena This isn't just a new indicator - it's a new way of thinking about markets . Just as Einstein's relativity revolutionized physics beyond Newton's mechanics, AHFT revolutionizes technical analysis beyond traditional methods. 🔧 OPTIMAL SETTINGS FOR MNQ 10-MINUTE For the Micro E-mini Nasdaq-100 on 10-minute timeframe: Signal Sensitivity: 2.5-3.5 Score Amplifier: 50-70 Execution Mode: Adaptive Min Bars Between: 3-5 Theme: Quantum Nebula or Dark Matter 💭 THE JOURNEY - FROM IMPOSSIBLE THEORY TO TRADING REALITY Creating AHFT was a mathematical odyssey that pushed the boundaries of what's possible in Pine Script. The journey began with a seemingly impossible question: Could the profound mathematical structures of theoretical physics be translated into practical trading tools? The Theoretical Challenge: Months were spent diving deep into differential geometry textbooks, studying the works of Chern, Simons, and Witten. The mathematics of holonomy groups and gauge theory had never been applied to financial markets. Translating abstract mathematical concepts like parallel transport and fiber bundles into discrete price calculations required novel approaches and countless failed attempts. The Computational Nightmare: Pine Script wasn't designed for quantum field theory calculations. Implementing the Wilson loop integral, managing complex array structures for anomaly detection, and maintaining computational efficiency while calculating geometric phases pushed the language to its limits. There were moments when the entire project seemed impossible - the script would timeout, produce nonsensical results, or simply refuse to compile. The Breakthrough Moments: After countless sleepless nights and thousands of lines of code, breakthrough came through elegant simplifications. The realization that market anomalies follow patterns similar to quantum vacuum fluctuations led to the revolutionary anomaly detection system. The discovery that price paths exhibit holonomic memory unlocked the geometric phase calculations. The Visual Revolution: Creating visualizations that could represent 4-dimensional quantum fields on a 2D chart required innovative approaches. The multi-layer holonomy field, recursive quantum portals, and phase space flow representations went through dozens of iterations before achieving the perfect balance of beauty and functionality. The Balancing Act: Perhaps the greatest challenge was maintaining mathematical rigor while ensuring practical trading utility. Every formula had to be both theoretically sound and computationally efficient. Every visual had to be both aesthetically pleasing and information-rich. The result is more than a strategy - it's a synthesis of pure mathematics and market reality that reveals the hidden order within apparent chaos. 📚 INTEGRATED DOCUMENTATION Once applied to your chart, AHFT includes comprehensive tooltips on every input parameter. The source code contains detailed explanations of the mathematical theory, practical applications, and optimization guidelines. This published description provides the overview - the indicator itself is a complete educational resource. ⚠️ RISK DISCLAIMER While AHFT employs advanced mathematical models derived from theoretical physics, markets remain inherently unpredictable. No mathematical model, regardless of sophistication, can guarantee future results. This strategy uses realistic commission ($0.62 per contract) and slippage (1 tick) in all calculations. Past performance does not guarantee future results. Always use appropriate risk management and never risk more than you can afford to lose. 🌟 CONCLUSION The Anomalous Holonomy Field Theory represents a quantum leap in technical analysis - literally. By applying the profound insights of differential geometry, quantum field theory, and gauge theory to market analysis, AHFT reveals structure and opportunities invisible to traditional methods. From the holonomy calculations that capture market memory to the anomaly detection that identifies phase transitions, from the adaptive intelligence that learns and evolves to the stunning visualizations that make the invisible visible, every component works in mathematical harmony. This is more than a trading strategy. It's a new lens through which to view market reality. Trade with the precision of physics. Trade with the power of mathematics. Trade with AHFT. I hope this serves as a good replacement for Quantum Edge Pro - Adaptive AI until I'm able to fix it. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® strategy
by DskyzInvestments
25
Mandelbrot-Fibonacci Cascade Vortex (MFCV)Mandelbrot-Fibonacci Cascade Vortex (MFCV) - Where Chaos Theory Meets Sacred Geometry A Revolutionary Synthesis of Fractal Mathematics and Golden Ratio Dynamics What began as an exploration into Benoit Mandelbrot's fractal market hypothesis and the mysterious appearance of Fibonacci sequences in nature has culminated in a groundbreaking indicator that reveals the hidden mathematical structure underlying market movements. This indicator represents months of research into chaos theory, fractal geometry, and the golden ratio's manifestation in financial markets. The Theoretical Foundation Mandelbrot's Fractal Market Hypothesis Traditional efficient market theory assumes normal distributions and random walks. Mandelbrot proved markets are fractal - self-similar patterns repeating across all timeframes with power-law distributions. The MFCV implements this through: Hurst Exponent Calculation: H = log(R/S) / log(n/2) Where: R = Range of cumulative deviations S = Standard deviation n = Period length This measures market memory: H > 0.5: Trending (persistent) behavior H = 0.5: Random walk H < 0.5: Mean-reverting (anti-persistent) behavior Fractal Dimension: D = 2 - H This quantifies market complexity, where higher dimensions indicate more chaotic behavior. Fibonacci Vortex Theory Markets don't move linearly - they spiral. The MFCV reveals these spirals using Fibonacci sequences: Vortex Calculation: Vortex(n) = Price + sin(bar_index × φ / Fn) × ATR(Fn) × Volume_Factor Where: φ = 0.618 (golden ratio) Fn = Fibonacci number (8, 13, 21, 34, 55) Volume_Factor = 1 + (Volume/SMA(Volume,50) - 1) × 0.5 This creates oscillating spirals that contract and expand with market energy. The Volatility Cascade System Markets exhibit volatility clustering - Mandelbrot's "Noah Effect." The MFCV captures this through cascading volatility bands: Cascade Level Calculation: Level(i) = ATR(20) × φ^i Each level represents a different fractal scale, creating a multi-dimensional view of market structure. The golden ratio spacing ensures harmonic resonance between levels. Implementation Architecture Core Components: Fractal Analysis Engine Calculates Hurst exponent over user-defined periods Derives fractal dimension for complexity measurement Identifies market regime (trending/ranging/chaotic) Fibonacci Vortex Generator Creates 5 independent spiral oscillators Each spiral follows a Fibonacci period Volume amplification creates dynamic response Cascade Band System Up to 8 volatility levels Golden ratio expansion between levels Dynamic coloring based on fractal state Confluence Detection Identifies convergence of vortex and cascade levels Highlights high-probability reversal zones Real-time confluence strength calculation Signal Generation Logic The MFCV generates two primary signal types: Fractal Signals: Generated when: Hurst > 0.65 (strong trend) AND volatility expanding Hurst < 0.35 (mean reversion) AND RSI < 35 Trend strength > 0.4 AND vortex alignment Cascade Signals: Triggered by: RSI > 60 AND price > SMA(50) AND bearish vortex RSI < 40 AND price < SMA(50) AND bullish vortex Volatility expansion AND trend strength > 0.3 Both signals implement a 15-bar cooldown to prevent overtrading. Advanced Input System Mandelbrot Parameters: Cascade Levels (3-8): Controls number of volatility bands Crypto: 5-7 (high volatility) Indices: 4-5 (moderate volatility) Forex: 3-4 (low volatility) Hurst Period (20-200): Lookback for fractal calculation Scalping: 20-50 Day Trading: 50-100 Swing Trading: 100-150 Position Trading: 150-200 Cascade Ratio (1.0-3.0): Band width multiplier 1.618: Golden ratio (default) Higher values for trending markets Lower values for ranging markets Fractal Memory (21-233): Fibonacci retracement lookback Uses Fibonacci numbers for harmonic alignment Fibonacci Vortex Settings: Spiral Periods: Comma-separated Fibonacci sequence Fast: "5,8,13,21,34" (scalping) Standard: "8,13,21,34,55" (balanced) Extended: "13,21,34,55,89" (swing) Rotation Speed (0.1-2.0): Controls spiral oscillation frequency 0.618: Golden ratio (balanced) Higher = more signals, more noise Lower = smoother, fewer signals Volume Amplification: Enables dynamic spiral expansion Essential for stocks and crypto Disable for forex (no central volume) Visual System Architecture Cascade Bands: Multi-level volatility envelopes Gradient coloring from primary to secondary theme Transparency increases with distance from price Fill between bands shows fractal structure Vortex Spirals: 5 Fibonacci-period oscillators Blue above price (bullish pressure) Red below price (bearish pressure) Multiple display styles: Lines, Circles, Dots, Cross Dynamic Fibonacci Levels: Auto-updating retracement levels Smart update logic prevents disruption near levels Distance-based transparency (closer = more visible) Updates every 50 bars or on volatility spikes Confluence Zones: Highlighted boxes where indicators converge Stronger confluence = stronger support/resistance Key areas for reversal trades Professional Dashboard System Main Fractal Dashboard: Displays real-time: Hurst Exponent with market state Fractal Dimension with complexity level Volatility Cascade status Vortex rotation impact Market regime classification Signal strength percentage Active indicator levels Vortex Metrics Panel: Shows: Individual spiral deviations Convergence/divergence metrics Real-time vortex positioning Fibonacci period performance Fractal Metrics Display: Tracks: Dimension D value Market complexity rating Self-similarity strength Trend quality assessment Theory Guide Panel: Educational reference showing: Mandelbrot principles Fibonacci vortex concepts Dynamic trading suggestions Trading Applications Trend Following: High Hurst (>0.65) indicates strong trends Follow cascade band direction Use vortex spirals for entry timing Exit when Hurst drops below 0.5 Mean Reversion: Low Hurst (<0.35) signals reversal potential Trade toward vortex spiral convergence Use Fibonacci levels as targets Tighten stops in chaotic regimes Breakout Trading: Monitor cascade band compression Watch for vortex spiral alignment Volatility expansion confirms breakouts Use confluence zones for targets Risk Management: Position size based on fractal dimension Wider stops in high complexity markets Tighter stops when Hurst is extreme Scale out at Fibonacci levels Market-Specific Optimization Cryptocurrency: Cascade Levels: 5-7 Hurst Period: 50-100 Rotation Speed: 0.786-1.2 Enable volume amplification Stock Indices: Cascade Levels: 4-5 Hurst Period: 80-120 Rotation Speed: 0.5-0.786 Moderate cascade ratio Forex: Cascade Levels: 3-4 Hurst Period: 100-150 Rotation Speed: 0.382-0.618 Disable volume amplification Commodities: Cascade Levels: 4-6 Hurst Period: 60-100 Rotation Speed: 0.5-1.0 Seasonal adjustment consideration Innovation and Originality The MFCV represents several breakthrough innovations: First Integration of Mandelbrot Fractals with Fibonacci Vortex Theory Unique synthesis of chaos theory and sacred geometry Novel application of Hurst exponent to spiral dynamics Dynamic Volatility Cascade System Golden ratio-based band expansion Multi-timeframe fractal analysis Self-adjusting to market conditions Volume-Amplified Vortex Spirals Revolutionary spiral calculation method Dynamic response to market participation Multiple Fibonacci period integration Intelligent Signal Generation Cooldown system prevents overtrading Multi-factor confirmation required Regime-aware signal filtering Professional Analytics Dashboard Institutional-grade metrics display Real-time fractal analysis Educational integration Development Journey Creating the MFCV involved overcoming numerous challenges: Mathematical Complexity: Implementing Hurst exponent calculations efficiently Visual Clarity: Displaying multiple indicators without cluttering Performance Optimization: Managing array operations and calculations Signal Quality: Balancing sensitivity with reliability User Experience: Making complex theory accessible The result is an indicator that brings PhD-level mathematics to practical trading while maintaining visual elegance and usability. Best Practices and Guidelines Start Simple: Use default settings initially Match Timeframe: Adjust parameters to your trading style Confirm Signals: Never trade MFCV signals in isolation Respect Regimes: Adapt strategy to market state Manage Risk: Use fractal dimension for position sizing Color Themes Six professional themes included: Fractal: Balanced blue/purple palette Golden: Warm Fibonacci-inspired colors Plasma: Vibrant modern aesthetics Cosmic: Dark mode optimized Matrix: Classic green terminal Fire: Heat map visualization Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice. While the MFCV reveals deep market structure through advanced mathematics, markets remain inherently unpredictable. Past performance does not guarantee future results. The integration of Mandelbrot's fractal theory with Fibonacci vortex dynamics provides unique market insights, but should be used as part of a comprehensive trading strategy. Always use proper risk management and never risk more than you can afford to lose. Acknowledgments Special thanks to Benoit Mandelbrot for revolutionizing our understanding of markets through fractal geometry, and to the ancient mathematicians who discovered the golden ratio's universal significance. "The geometry of nature is fractal... Markets are fractal too." - Benoit Mandelbrot Revealing the Hidden Order in Market Chaos Trade with Mathematical Precision. Trade with MFCV. — Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Pine Script® indicator
by DskyzInvestments
26
True Seasonal Pattern [tradeviZion]True Seasonal Pattern: Uncover Hidden Market Cycles Markets have rhythms and patterns that repeat with surprising regularity. The True Seasonal Pattern indicator reveals these hidden cycles across different timeframes, helping you anticipate potential market movements based on historical seasonal tendencies. What This Indicator Does The True Seasonal Pattern analyzes years of historical price data to identify recurring seasonal trends. It then plots these patterns on your chart, showing you both the historical pattern and future projection based on past seasonal behavior. Automatic Timeframe Detection: Works with Monthly, Weekly, and Daily charts Historical Pattern Analysis: Analyzes up to 100 years of data (customizable) Future Projection: Projects the seasonal pattern ahead on your chart Smart Smoothing: Applies appropriate smoothing based on your timeframe How to Use This Indicator Add the indicator to a Daily, Weekly, or Monthly chart (not designed for intraday timeframes) The indicator automatically detects your chart's timeframe The blue line shows the historical seasonal pattern Watch for potential turning points in the pattern that align with other technical signals Seasonal patterns work best as a supporting factor in your analysis, not as standalone trading signals. They are particularly effective in markets with well-established seasonal influences. Best Applications Futures Markets: Commodities and futures often show strong seasonal tendencies due to production cycles, weather patterns, and economic factors Stock Indices: Many stock markets demonstrate regular seasonal patterns (like the "Sell in May" phenomenon) Individual Stocks: Companies with seasonal business cycles often show predictable price patterns Practical Applications Identify potential turning points based on historical seasonal patterns Plan entries and exits around seasonal tendencies Add seasonal context to your existing technical analysis Understand why certain months or periods might show consistent behavior Pro Tip: For best results, use this tool on instruments with at least 5+ years of historical data. Longer timeframes often reveal more reliable seasonal patterns. Important Notes This indicator works best on Daily, Weekly, and Monthly timeframes - not intraday charts Seasonal patterns are tendencies, not guarantees Always combine seasonal analysis with other technical tools Past patterns may not repeat exactly in the future // Sample of the seasonal calculation approach float yearHigh = array.max(currentYearHighs) float yearLow = array.min(currentYearLows) // Calculate seasonality for each period for i = 0 to array.size(currentYearCloses) - 1 float periodClose = array.get(currentYearCloses, i) if not na(periodClose) and yearHigh != yearLow float seasonality = (periodClose - yearLow) / (yearHigh - yearLow) * 100 I developed this indicator to help traders incorporate seasonal analysis into their trading approach without the complexity of traditional seasonal tools. Whether you're analyzing agricultural commodities, energy futures, or stock indices, understanding the seasonal context can provide valuable insights for your trading decisions. Remember: Markets don't always follow seasonal patterns, but when they do, being aware of these tendencies can give you a meaningful edge in your analysis.
Pine Script® indicator
by TradeVizion
4
EMA Pullback & Trend Indicator MyraxesEMA Pullback & Trend Indicator by Max Retri Plots five EMAs—9, 15, 30, 65 and 200—and draws clean, easy-to-interpret signals when the fast EMAs cross in the direction of the longer-term trend. No other indicators or overlays are required; simply add it to your chart and watch for the arrows and crosses. ⸻ What It Does & How It Works 1. EMAs & Colors • Red (EMA 9) – Fast signal line • Blue (EMA 15) – Confirmation line • Orange (EMA 30) – Pullback zone 1 • Purple (EMA 65) – Pullback zone 2 & mid-term trend • White (EMA 200) – Long-term trend 2. Trend Filter • Bullish regime when price is above both EMA 65 and EMA 200. • Bearish regime when price is below both EMA 65 and EMA 200. 3. Pullback Requirement • Only consider a signal if price has retraced into the EMA 30 or EMA 65 zone. 4. Signal Logic Long Entry ▲: EMA 9 (red) crosses above EMA 15 (blue) while in a bullish regime and after a pullback into EMA 30/65. Short Entry ▼: EMA 9 crosses below EMA 15 while in a bearish regime and after a retracement up to EMA 30/65. Exit ✖: Opposite EMA 9/15 crossover marks the close of the position. ⸻ How to Use 1. Add the indicator to any chart/timeframe. 2. Identify trend: make sure price is aligned above or below the 65 and 200 EMAs. 3. Watch for pullbacks into the orange or purple EMAs. 4. Enter on the black ▲ or ▼ arrow. 5. Exit when you see the gray ✖ cross. Because it’s a pure‐EMA indicator (no heavy calculations), it runs quickly even on lower-end machines.
Pine Script® indicator
by maxretri
2
TriTrend Nexus[BullByte]TriTrend Nexus is a comprehensive market analysis tool that consolidates three well-established signals into a single, easy-to-read interface. It is designed to help traders quickly assess the market’s current condition and make more informed decisions about potential trend shifts. Key Features and Functionality Composite Signal System Multi-Faceted Approach : The indicator combines insights from three distinct market signals into one composite score. This approach provides a more holistic view of market conditions compared to relying on a single indicator. Clear Classification : Based on the composite score, TriTrend Nexus categorizes the market into: Strong Signals : When all three underlying conditions are met, indicating a robust and established trend. Early Signals : When two out of the three conditions are met, offering an early hint of a potential trend. Neutral/Choppy : When conditions are ambiguous or conflicting, suggesting a lack of clear market direction. Trend Qualifiers : In addition to the composite score, the indicator subtly refines its signal by noting whether a trend is “Rising” or “Fading.” This further aids traders in understanding the momentum behind the signal. Dynamic Signal Identification Timely Alerts : By analyzing the composite data in real time, the indicator quickly identifies when market conditions shift, offering early warning signals that help traders stay ahead of the market. Adaptive Analysis : The built-in signal assessment continuously monitors market changes. Whether the market is in the early stages of a move or firmly committed to a trend, TriTrend Nexus adapts its messaging to reflect the evolving conditions. User-Friendly Dashboard Integrated Display : A customizable dashboard provides an at-a-glance summary of key metrics. Users can choose between a detailed view for comprehensive insights or a compact version for a streamlined experience. Key Metrics Displayed : Primary Signal : The overall market status, such as “Bullish Strong” or “Bearish Early.” Composite Nexus Score : A numerical value representing the strength of the current market conditions. Supporting Data : Essential values that help explain the current signal without overwhelming the trader. Easy Interpretation : The dashboard is designed with clarity in mind. Clear labeling and a consistent layout ensure that even traders new to composite indicators can quickly interpret the displayed information. Visual Clarity and Aesthetic Color-Coded Signals : The indicator uses a vibrant color scheme to highlight market conditions: Bright Green : Signifies a strong bullish trend. Light Green : Indicates an emerging bullish trend. Red : Represents a strong bearish trend. Light Red/Pink : Denotes an early bearish signal. Gray : Used when market conditions are neutral or choppy. Graphical Enhancements : The plotted oscillator visually reinforces the signal classifications with dynamic color transitions. Horizontal markers provide reference points to help traders easily compare the current readings against standard levels. Customization Options Adjustable Settings : Traders can personalize the indicator by modifying input settings such as sensitivity thresholds and period lengths. This flexibility allows the tool to adapt to different market environments and trading styles. Dashboard Flexibility : The option to toggle between a full dashboard and a shorter version means that both novice and experienced traders can configure the display to best suit their needs. A more detailed dashboard offers extensive insights, while the compact mode provides a minimalist view for those who prefer simplicity. Tailored User Experience : With multiple adjustable parameters, users can fine-tune the indicator to respond precisely to their preferred timeframes and market conditions. This adaptability makes TriTrend Nexus a versatile tool for various trading strategies. Benefits for Traders Quick and Informed Decision-Making : With a single glance at the dashboard and visual cues from the oscillator, traders can quickly gauge whether the market is poised for a strong move, is in the early stages of a trend, or is too volatile for clear signals. This helps in planning timely entries and exits. Enhanced Market Insight : By integrating multiple perspectives into one coherent score, the indicator filters out market noise and highlights the prevailing trend more reliably. This can be particularly useful during periods of market uncertainty. Reduced Analysis Time: The combination of clear, color-coded signals and an intuitive dashboard reduces the time spent analyzing various individual indicators, allowing traders to focus more on strategy execution. Customization for Diverse Strategies : The ability to adjust various input parameters and the dashboard layout ensures that traders can tailor the tool to fit their unique analysis style and market conditions, making it a versatile addition to any trading toolkit. User-Friendly Interface : Even for those who are not technically inclined, the clear visual design and straightforward signal descriptions make it easy to understand the current market situation without needing to interpret complex data.
Pine Script® indicator
by BullByte
2
Oops!Oops! is based on an overemotional response, then a quick reversal of the concomitant overreaction of price. The overreaction we are looking for to give us a buy signal is an opening that is below the previous day's low. The entry comes when, following the lower open, price then rallies back to the previous day's low (selling pressures have been abated and a market rally should follow). A sell signal is just the opposite. We will be looking for an open greater than the prior day's high. Our entry then comes from price falling back to the prior high, giving us a strong short-term suggestion of lower prices to come.
Pine Script® indicator
by maxpower00
[TTI] MarketSmith & IBD Style Model Stock Quarters 📜 ––––HISTORY & CREDITS–––– The MarketSmith & IBD Style Model Stock Quarters another Utility indicator is an original creation by TintinTrading inspired by Investor's Business Daily and William O'Neil style of presenting information. While going through the Model Stocks that IBD has been publishing, I realized that I wanted to see the exam same Quarterly presentation on the time axis in order to compare William O'Neil notes better with my own notes from Tradingview. The script is simple and could help you if you study the CANSLIM methodology. 🦄 –––UNIQUENESS––– The distinctiveness of this indicator lies in its ability to visually delineate stock quarters directly on the price chart. It serves as a handy tool for traders who adopt a quarterly review of stock performance, in line with MarketSmith and IBD's analysis frameworks. 🛠️ ––––WHAT IT DOES–––– Quarter Marking : Draws a black line at the beginning of each financial quarter (January, April, July, and October). Quarter Labeling : Places a label at the close of the last month in a quarter, indicating the upcoming quarter with its abbreviation and the last two digits of the year. 💡 ––––HOW TO USE IT–––– 👉Installation: Add the indicator to your TradingView chart by searching for " MarketSmith & IBD Style Model Stock Quarters" in the indicator library. 👉Add to New Pane and squash the Pane Length: I add the indicator to a new pane under the price and volume charts and squash the height of the pane so that it looks exactly like the MarketSmith visuals. 👉Visual Cues: Look for the black lines marking the start of a new quarter. Observe the labels indicating the upcoming quarter and year, positioned at the close of the last month in a quarter. 👉Interpretation: Use these quarterly markers to align your trading strategies with quarterly performance metrics or to conduct seasonal analysis. 👉Settings: The indicator does not require any user-defined settings, making it straightforward to use.
Pine Script® indicator
by TintinTrading