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Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform Overview An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives. Evolution Beyond Traditional Fisher Transform While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements: - Multi-period composite instead of single timeframe analysis - Robust z-score normalization using median/MAD rather than mean/standard deviation - Winsorization to handle outliers and price spikes - Dynamic clipping that adapts to market volatility - Kalman filtering for superior noise reduction vs. traditional EMA smoothing These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform. Key Features Multi-Period Analysis - Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods - Weighted Composite: Combines all three periods using customizable weights for optimal signal generation - Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis Advanced Statistical Methods Robust Z-Score Calculation - Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation - More resistant to outliers and extreme price movements - Provides stable normalization across varying market conditions Winsorization - Caps extreme price values at specified percentiles (default 5th and 95th) - Reduces the impact of price spikes and anomalies - Configurable lookback period for threshold calculation Dynamic Z-Score Clipping - Automatically adjusts clipping levels based on recent volatility - Tighter bounds in calm markets (0.05) for precision - Wider bounds in volatile markets (0.2) to capture significant moves - Uses ATR-based volatility measurement Kalman Filter Smoothing - Optional advanced noise reduction using Kalman filtering - Superior to traditional EMA smoothing for optimal signal extraction - Configurable process noise (Q) and measurement noise (R) parameters - Fallback to traditional smoothing factor available How to Use Basic Interpretation - Above Zero: Bullish momentum - Below Zero: Bearish momentum - Extreme Values: Potential overbought/oversold conditions - Crossovers: Entry/exit signals when composite crosses trigger line Customizable Settings Periods: Adjust based on your trading timeframe - Lower values (3-10): More sensitive, suitable for scalping - Medium values (10-20): Balanced for swing trading - Higher values (20-50): Smoother for position trading Weights: Customize responsiveness - Increase short weight: More reactive to recent price changes - Increase long weight: More stability and trend confirmation Kalman Settings - Lower Q (0.001-0.02): Smoother, more filtered signals - Higher Q (0.02-0.1): More responsive to price changes - Lower R (0.01-0.05): Trust data more, less filtering - Higher R (0.1-1.0): More skeptical of data, more smoothing
Pine Script® indicator
by B3AR_Trades
True Strength Index with Crossovers Alerts🚀 True Strength Index (TSI) with Visual Crossover Alerts Hey everyone! I’m sharing my customized True Strength Index (TSI) indicator, which I've boosted with clear visual signals and alert conditions based on my personal, high-probability trading strategy. The True Strength Index is a powerful, oscillation-based momentum indicator that smooths price movements twice using Exponential Moving Averages (EMAs). This double-smoothing process helps to filter out market noise, giving you a much clearer view of momentum changes than basic indicators. 🛠️ How This Script Works This script focuses on the crucial interaction between the TSI line and its Signal Line: TSI Line (Blue): Tracks momentum direction and strength. Signal Line (Red): A simple EMA of the TSI line, used to determine short-term trend shifts. Visual Buy/Sell Signals: To make signals impossible to miss, I've added distinct visual markers: 🟢 Green Dot: A "Buy Signal" is plotted at the bottom of the indicator pane when the TSI crosses above the Signal Line (bullish crossover). 🔴 Red Dot: A "Sell Signal" is plotted at the bottom when the TSI crosses below the Signal Line (bearish crossover). Additionally, I've included named alertconditions so you can set up real-time notifications for these exact crossovers in the TradingView Alert system. 🧠 My Trading Logic: Combining TSI with RSI I don't use the TSI in isolation. My favorite approach is to use this TSI indicator as a timing tool, but only when it aligns with the overall momentum context defined by the Relative Strength Index (RSI). This is the key to my strategy: Bullish Trade Filter: I only take a BUY signal (Green Dot) when my RSI indicator is already in a bullish territory (above 50). Bearish Trade Filter: I only take a SELL signal (Red Dot) when my RSI indicator is already in a bearish territory (below 50). This combination ensures you are trading with the underlying momentum trend, improving the probability of success. ⚙️ My Recommended Custom Settings For the best results with this strategy, I recommend using the following custom settings. You can enter these values in the "Inputs" tab when adding the indicator to your chart. 1. TSI (Alerts) Settings Long Length - 60 Higher value for smoother price change data. Short Length -30 Medium-term smoothing for clearer momentum shifts. Signal Length - 9 Short length for a responsive signal line. 2. Companion RSI Settings (RSI+) RSI Length - 150 A long look-back period for highly accurate trend filtering. MA1 Length - 60 Used for additional smoothing. MA2 Length - 150 Used for powerful trend confluence.
Pine Script® indicator
by Charted_Trades
MILLION MEN - Zone ScannerWhat it is MILLION MEN - Zone Scanner is a context-driven momentum tool that visualizes trend regimes (bullish / bearish) and highlights the first-touch opportunity within each regime’s reactive zones. It’s designed to help traders identify pullbacks inside an existing bias rather than chasing breakouts. How it works Uses a custom RSI-style momentum meter calculated from RMA of up/down moves. When the meter > upper threshold → Green Regime. When the meter < lower threshold → Red Regime. Defines LONG Zone (34 – 40) and SHORT Zone (60 – 70) for mean-reversion touches. Prints L FT or S FT on the first confirmed touch after a regime turns on. Optional candle-color filter (green bar for LONG / red bar for SHORT). Exit signals trigger once the meter revisits the regime boundary. Optional Neon Glow styling improves visual clarity without clutter. How to use Identify regime direction (green = bullish bias, red = bearish bias). Wait for the first touch into the relevant zone. Confirm with higher-time-frame structure or volume context. Manage position or exit once the meter retests its regime limit. Use it as a context tool, not an auto-entry system. Originality & Value This script enforces discipline by allowing only one signal per regime, reducing over-trading and noise. The zone visualization and glow layers offer a clean, cinematic UI consistent with the MILLION MEN visual standard. Limitations & Transparency Works best on standard candlesticks and normal-time frames (tested on BTC, ETH, XRP, BNB, XAUUSD). No look-ahead or future data. Signals are bar-close confirmed (barstate.isconfirmed). Educational tool — not financial advice. Free Protected Version Published for public educational use under the MILLION MEN framework. Core logic is protected to maintain script integrity.
Pine Script® indicator
by MILLION_MEN
RSI EMA Crossover with Price ActionThe RSI and RSI's EMA Crossover with Price Action (1:2 Risk-Reward) strategy combines Momentum, Trend confirmation, and Basic price-action logic to generate high-probability trade setups with Proper Risk Management. This script identifies entries when the RSI crosses a key threshold and aligns with an RSI - EMA crossover, confirming Exhaustion of a current trend and Price action confirms the Change in Trend direction. It integrates price action filters to avoid false signals during low-volatility or choppy conditions. The strategy also includes a risk-management module, setting a fixed 1:2 risk-to-reward ratio — automatically placing a take-profit target twice the size of the stop loss. Also the Stop loss can be adjusted to nearest swing low or last 3 candles Low. to avoid Stoploss hunt. Features ✅ RSI and EMA crossover confirmation for directional bias ✅ Basic price-action validation (optional filters) ✅ Configurable stop-loss and take-profit levels (default 1:2) ✅ Visual trade markers for entries and exits Disclaimer: This script is intended for educational and research purposes only. It should not be considered financial advice or a guaranteed trading system. Users are encouraged to test and optimize parameters before using in live markets.
Pine Script® indicator
by earnwhileulearn
2
VMS Multi Index Options Buying Indicator📊 VMS Multi-Index Options Buying Indicator – Consolidated Overview ________________________________________ 🎯 What It Is A professional-grade options trading system that analyses multiple technical parameters to generate quantified buy signals for call and put options. It includes: • Integrated risk management • Multi-layered confirmation • Quantified strength scores ________________________________________ ⚡ Core Functionality • Dual Analysis System: Call and put analysis running simultaneously • Multi-Timeframe Analysis: Intraday to swing trading • Quantified Scoring: Objective 0–7 strength scoring system • Holistic Market View: Combines technicals, levels, volume, and momentum into a single signal ________________________________________ 🔧 Technical Components 1. VMS Core Momentum System • VMS SQZM Momentum: Primary oscillator (must be positive for both calls and puts) • VMS Index Trends: Short-term and medium-term alignment • Strength Scoring: 7-point system evaluating multiple parameters 2. Support/Resistance Levels (L0–L10) Level Significance Options Trading Application L00–L02 Strong Support Ideal for CALL BUY entries L05 Critical Decision Point Wait for confirmation L08–L9 Strong Resistance Ideal for PUT BUY entries 3. ATR Trend System • Green Lines: Bullish momentum (favour calls) • Red Lines: Bearish momentum (favour puts) • ▲/▼ Triangles: Primary entry signals • +L/+S Signals: Add-to-position opportunities 4. Volume Confirmation • Real-time buy/sell volume analysis • Cumulative volume trends • Bullish/bearish candle counts • Net volume direction confirmation 5. Spread Analysis • Call-put spread direction and momentum • Market sentiment gauge • Options flow implications ________________________________________ 📈 Signal Generation Strength-Based Signals • STRONG BUY: ≥4/7 strength points + clear advantage • WEAK BUY: 3–3.9/7 strength points + modest advantage • NO TRADE: All other scenarios Critical Rules • Both call and put VMS SQZM must be positive for any trade • A clear strength advantage is required over the opposite option • Volume confirmation enhances signal reliability ________________________________________ 🧩 Ideal Trade Setups Call Buy Setup if (call_strength >= 4 and call_strength > put_strength and val_call > 0 and val_put > 0 and ATR_trend_green and price_near_support and volume_bullish and spread_positive_expanding): execute_strong_call_buy() Put Buy Setup if (put_strength >= 4 and put_strength > call_strength and val_put > 0 and val_call > 0 and ATR_trend_red and price_near_resistance and volume_bearish and spread_negative_contracting): execute_strong_put_buy() ________________________________________ 📊 Dashboard Interpretation Guide Section Call Buy Signal Put Buy Signal Critical Check Spread Positive + Expanding Negative + Contracting Must confirm direction VMS SQZM Green + Positive Green + Positive Both must be positive Strength ≥4 & > Put ≥4 & > Call Primary decision factor Squeeze "ON" preferred "ON" preferred Increases probability Levels Near L00–L02 Near L08–L10 Confluence adds confidence ATR Green + Rising Red + Falling Trend alignment Volume Bullish patterns Bearish patterns Must confirm signal ________________________________________ ⏰ Timeframe-Specific Strategies Intraday Trading (5–15 min) • Monitor strength changes every candle • Use +L/+S for quick scalp entries • Exit before last 30 minutes • Tighter stops (50% premium) Swing Trading (1H–Daily) • Require ≥4.5 strength scores • Focus on major level breaks (L00, L05, L10) • Use wider stops (60% premium) • Hold until the opposite signal generation ________________________________________ 🛡️ Risk Management Integration • Automatic position sizing based on signal strength • Built-in exit triggers and stop-loss levels • Daily trade limits and risk controls ________________________________________ 💡 Unique Value • Quantified scoring removes emotional trading • Multiple confirmation layers reduce false signals • Comprehensive dashboard for quick decision-making • Options-specific analysis (not generic indicators) ________________________________________ 🚨 Quick Decision Flowchart 1. Start → Check strength scores 2. Call ≥4 & > Put? → Yes → Check VMS SQZM >0? → Yes → ✅ Strong Call Buy 3. Put ≥4 & > Call? → Yes → Check VMS SQZM >0? → Yes → ✅ Strong Put Buy 4. Call ≥3 & > Put? → Yes → ✅ Weak Call Buy (reduced size) 5. Put ≥3 & > Call? → Yes → ✅ Weak Put Buy (reduced size) 6. ❌ No Trade – Wait for better setup ________________________________________ ⚠️ Important Note This is a decision support tool – not a guaranteed profit system. It requires: • Proper risk management • Trading experience • Integration into a comprehensive trading strategy Ideal for traders who want a systematic approach, objective signals, options focus, and multiple confirmation layers. 🎯 VMS Multi-Index Options Buying Indicator - MASTER CHEAT SHEET 📊 QUICK DECISION MATRIX 🟢 CALL BUY SIGNALS (All Must Align) Component Strong Signal Weak Signal Strength ≥4 & > Put 3-3.9 & > Put VMS SQZM Both Positive Both Positive Spread Positive + Expanding Positive ATR Green + Rising Green Levels L00-L02 Near Support Volume Bullish Confirmed Mixed Bullish Squeeze ON Any 🔴 PUT BUY SIGNALS (All Must Align) Component Strong Signal Weak Signal Strength ≥4 & > Call 3-3.9 & > Call VMS SQZM Both Positive Both Positive Spread Negative + Contracting Negative ATR Red + Falling Red Levels L08-L10 Near Resistance Volume Bearish Confirmed Mixed Bearish Squeeze ON Any ________________________________________ ⚡ INSTANT EXECUTION RULES ✅ STRONG TRADES (High Conviction) # STRONG CALL BUY if (call_strength >= 4 and call_strength > put_strength and val_call > 0 and val_put > 0): execute_call_buy() # STRONG PUT BUY if (put_strength >= 4 and put_strength > call_strength and val_put > 0 and val_call > 0): execute_put_buy() 🟡 WEAK TRADES (Reduced Size Only) if strength >= 3 and strength > opposite_strength: execute_weak_trade() # 30-50% normal size ❌ NO TRADE CONDITIONS if (any_vms_sqzm_negative or both_strengths >= 3 or strength < 3 or no_clear_advantage): AVOID_TRADE() ________________________________________ 🎯 CONFIRMATION HIERARCHY PERFECT CALL SETUP 1. ✅ Strength: Call ≥4, Put < Call 2. ✅ VMS SQZM: Both positive 3. ✅ Spread: Positive & Expanding 4. ✅ ATR: Green + Rising 5. ✅ Levels: Near L00-L02 support 6. ✅ Volume: Bullish confirmation 7. ✅ Squeeze: ON PERFECT PUT SETUP 1. ✅ Strength: Put ≥4, Call < Put 2. ✅ VMS SQZM: Both positive 3. ✅ Spread: Negative & Contracting 4. ✅ ATR: Red + Falling 5. ✅ Levels: Near L08-L10 resistance 6. ✅ Volume: Bearish confirmation 7. ✅ Squeeze: ON ________________________________________ 📈 POSITION MANAGEMENT 🎚️ Sizing Matrix Signal Strength Position Size Stop Loss Profit Target ≥4 (STRONG) 70-80% normal 50-60% premium 1:1 R:R + Trail 3-3.9 (WEAK) 30-50% normal 40-50% premium Quick 1:1 <3 (NO TRADE) 0% N/A N/A 🚪 Exit Triggers • Stop Loss: 50-60% premium loss OR VMS SQZM turns negative • Profit Taking: 50% at 1:1, trail balance using VMS Index • Signal Exit: Opposite strength reaches ≥3 OR current strength drops below entry ________________________________________ ⏰ TIMEFRAME STRATEGIES 🔄 Intraday (5-15 min) • Monitor strength changes every candle • Exit before last 30 minutes • Tighter stops (50% premium) • Use +L/+S for quick scalps 📅 Swing (1H-Daily) • Require ≥4.5 strength scores • Focus on major level breaks • Wider stops (60% premium) • Hold until opposite signal ________________________________________ 🛡️ RISK MANAGEMENT 📉 Daily Limits • Max Trades: 3 per day • Max Risk: 2% capital per trade • Loss Limit: Stop after 2 consecutive losses • Portfolio: Never trade both call/put simultaneously 🧠 Psychological Rules 1. Wait for clear signals - don't force 2. Respect strength scoring - no overrides 3. Stick to position sizing - no revenge trading 4. Accept "NO TRADE" as valid outcome ________________________________________ 🚀 QUICK START FLOW 1. CHECK Strength Scores 2. CONFIRM VMS SQZM Both Positive 3. VALIDATE Spread Direction 4. ALIGN ATR Trend 5. CONFIRM Volume & Levels 6. EXECUTE or WAIT ________________________________________ 📊 VMS DASHBOARD FLOWCHART START → Check Strength Scores ↓ → YES → → YES → 🟢 STRONG CALL ↓ NO ↓ NO → YES → → YES → 🔴 STRONG PUT ↓ NO ↓ NO → YES → 🟡 WEAK CALL (Reduce Size) ↓ NO → YES → 🟡 WEAK PUT (Reduce Size) ↓ NO ❌ NO TRADE - Wait ________________________________________ ⚠️ CRITICAL REMINDERS • MUST: Both VMS SQZM positive for ANY trade • MUST: Clear strength advantage (≥0.5 difference) • PREFER: Volume confirmation for maximum size • AVOID: Trading during news events • RESPECT: Daily risk limits ________________________________________ 💡 SUCCESS FORMULA Patience + Confirmation + Risk Management = Consistent Results Wait for ≥4 strength signals with multiple confirmations, always use proper position sizing, and journal every trade. Happy Trading! 📈 Remember: This system provides probabilities, not guarantees. Always trade with proper risk management and within your financial means.
Pine Script® indicator
by madhavbbs
Delta ROC (acceleration) + GuideStan Druckenmiller often stresses that markets are driven not by absolute numbers but by their rate of change. He says the key is to “focus on the central banks and the movement of liquidity,” and notes that “because it used second-derivative rate of change, these things will often bottom a year to a year and a half before the fundamentals.” In essence, he looks for inflection points—moments when momentum itself begins to turn—well before the data or headlines confirm it. The ΔROC (Delta Rate of Change) indicator applies that same philosophy. It measures both the first derivative of price (ROC: speed or momentum) and the second derivative (ΔROC: acceleration or deceleration of that momentum). Green bars signal that momentum is accelerating—buyers gaining control—while red bars show slowing momentum or exhaustion. Combine this with trend filters like the 30- and 50-day moving averages to spot early shifts in sentiment and liquidity—the kind of turning points Druckenmiller calls the “second-derivative moments” that often lead the real economy by months.
Pine Script® indicator
by GoyalKapil354
Emerson v8.4 – Kulture Metrics🜂 Emerson v8.4 – Kulture Metrics “When volatility breathes, probability answers.” The Emerson Engine isn’t another indicator—it’s a precision instrument built to exploit the hidden mathematics of motion. Born from Kulture Metrics’ Nosreme lineage, this model fuses trend architecture, volatility anatomy, and Linetsky’s path-integral weighting into one living signal core. It doesn’t predict — it quantifies belief. Each trigger passes through three unforgiving filters: Classical Trend & Momentum Logic — directional strength, pure and unadulterated. Squeeze Regime Anticipation — volatility compression before the break. Path-Integral Confirmation — stochastic payoffs weighted by risk-free discounting and volatility density. The result? Only signals where the math, the market, and the moment all align — Absolute Confirmations. No noise. No guessing. No emotion. In practice, Emerson waits. It calculates. Then it strikes with surgical precision — entries that respect volatility, discount rates, and expected path contributions like a derivatives desk built into your chart. Each decision point carries the full weight of stochastic probability theory — the same principles driving modern option pricing — yet distilled into something you can read at a glance. Benefits that separate you from the herd: ✅ Trades filtered by volatility percentile and expected payoff distribution — not gut feel. ✅ Dotted bias line reveals the “probabilistic current” beneath price itself. ✅ Alerts trigger only when logic, momentum, and probability form a unanimous verdict. ✅ Dynamic macro-window shading adapts to volatility pressure in real time. ✅ Every entry inherently respects your risk, target, and discounting horizon. Emerson v8.4 doesn’t ask the market what’s happening — it tells it what must happen next, given the probabilities. It’s not designed to comfort. It’s designed to confirm. Kulture Metrics. Built for traders who understand that randomness is just order not yet resolved.
Pine Script® indicator
by kulturemetrics
RSI Divergence DetectorOverview The RSI Divergence Detector is a comprehensive technical analysis tool designed to identify both regular and hidden divergences between price action and the Relative Strength Index (RSI). This indicator helps traders spot potential trend reversals and continuations by automatically detecting when price movements diverge from RSI momentum. What are Divergences? Regular Divergences signal potential trend reversals: Bullish Divergence: Price makes a lower low while RSI makes a higher low → Potential upward reversal Bearish Divergence: Price makes a higher high while RSI makes a lower high → Potential downward reversal Hidden Divergences signal trend continuation: Hidden Bullish Divergence: Price makes a higher low while RSI makes a lower low → Uptrend continuation Hidden Bearish Divergence: Price makes a lower high while RSI makes a higher high → Downtrend continuation Automatic Divergence Detection Detects all four types of divergences automatically Draws connecting lines between divergence points on the RSI Labels each divergence with clear text indicators ("Bull", "Bear", "HBull", "HBear") Independent toggle switches for each divergence type Dynamic RSI Display RSI line changes color based on momentum: Green when RSI is above 50 (bullish momentum) Red when RSI is below 50 (bearish momentum) Standard overbought (70) and oversold (30) levels marked Shaded background zones for overbought/oversold areas Pivot Detection System Adjustable pivot lookback period (default: 4 bars) Visual pivot markers at tops and bottoms of RSI Configurable maximum divergence range (default: 60 bars) Adjust the setting to you desired sensitivity on each timeframe. Full Customization Suite Label Customization: Choose label size (Tiny, Small, Normal, Large, Huge) Separate color selection for each divergence type Adjustable transparency (0-100%) Line Customization: Independent color control for bullish and bearish lines Line style options for each type (Solid, Dashed, Dotted) Default: Regular divergences use dashed lines, hidden divergences use dotted lines Visual Settings: Customizable overbought/oversold zone colors and transparency Gray horizontal reference lines (70, 50, 30) Pivot markers with adjustable visibility Default Settings RSI Length: 14 periods Pivot Lookback: 4 bars Max Divergence Range: 60 bars Label Size: Normal Bullish Color: #4CAF50 (Material Green) Bearish Color: #FF5252 (Material Red) Regular Line Style: Dashed Hidden Line Style: Dotted How to Use Customize Settings: Adjust colors, line styles, and detection parameters to your preference Toggle Divergence Types: Enable/disable specific divergence types based on your trading strategy Identify Signals: Look for labeled divergences with connecting lines on the RSI pane Confirm with Price Action: Use divergences in conjunction with other technical analysis tools Best Practices Regular Divergences: Best used to spot potential reversals at market extremes Hidden Divergences: Best used to identify pullback entry points in trending markets Confirmation: Always wait for price confirmation before entering trades based on divergences Multiple Timeframes: Check for divergences across multiple timeframes for stronger signals Risk Management: Use proper stop-losses as not all divergences lead to reversals Technical Specifications PineScript Version: v6 Indicator Type: Oscillator (separate pane) Maximum Lines: 500 Calculation Method: Pivot-based divergence detection using price and RSI comparisons
Pine Script® indicator
by xrischosser
MPO4 Lines – Modal Engine█ OVERVIEW MPO4 Lines – Modal Engine is an advanced multi-line modal oscillator for TradingView, designed to detect momentum shifts, trend strength, and reversal points through candle-based pressure analysis with multiple fast lines and a reference slow line. It features divergence detection on Fast Line A, overbought/oversold return signals, dynamic coloring modes, and layered gradient visualizations for enhanced clarity and decision-making. █ CONCEPT The indicator is built upon the Market Pressure Oscillator (MPO) and serves as its expanded evolution, aimed at enabling broader market analysis through multiple lines with varying parameters. It calculates modal pressure using candle body size and direction, weighted against average body size over a lookback period, then normalized and smoothed via EMA. It generates four distinct oscillator lines: a heavily smoothed Slow Line (trend reference), two Fast Lines (A & B) for momentum and support/resistance, and an optional Line 4 for additional confirmation. Divergence is calculated solely on Fast Line A, with visual gradients between lines and bands for intuitive interpretation. █ WHY USE IT? - Multi-Layer Momentum: Combines slow trend reference with dual fast lines for precise entry/exit timing. - Divergence Precision: Bullish/bearish divergences on Fast Line A with labeled confirmation. - OB/OS Return Signals: Clear buy/sell markers when Fast Line A exits oversold/overbought zones. - Dynamic Visuals: Gradient fills, line-to-line shading, and band gradients for instant market state recognition. - Flexible Coloring: Slow Line color by direction or zero-position; fast lines by sign. - Full Customization: Independent lengths, smoothing, visibility, and transparency — by adjusting the lengths of different lines, you can tailor results for various strategies; for example, enabling Line 4 and tuning its length allows trading based on crossovers between different lines. █ HOW IT WORKS? - Candle Pressure Calculation: Body = math.abs(close - open); avgBody = ta.sma(body, len). Direction = +1 (bull), –1 (bear), 0 (neutral). Weight = body / avgBody. Contribution = direction × weight. - Rolling Sum & Normalization: Sums contributions over lookback, normalizes to ±100 scale (÷ (len × 2) × 100). Smoothing: Applies primary EMA (smoothLen), with extra EMA on Slow Line for stability. Line Structure: - Slow Line = calcCPO(len1=20, smoothLen1=5) → extra EMA (5) - Fast Line A = calcCPO(len2=6, smoothLen2=7) - Fast Line B = calcCPO(len3=6, smoothLen3=10) - Line 4 = calcCPO(len4=14, smoothLen4=1) Divergence Detection: Uses ta.pivothigh/low on price and Fast Line A (pivotLength left/right). Bullish: lower price low + higher osc low. Bearish: higher price high + lower osc high. Valid within 5–60 bar window. Signals: - Buy: Fast Line A crosses above oversold (–30) - Sell: Fast Line A crosses below overbought (+30) - Slow Line color flip (direction or zero-cross) - Divergence labels ("Bull" / "Bear") - Band Coloring as Momentum Signal: When Fast Line A ≤ Fast Line B → Overbought band turns red (bearish pressure building) When Fast Line A > Fast Line B → Oversold band turns green (bullish pressure building) This dynamic coloring serves as visual confirmation of momentum shift following fast line crossovers Visualization: - Gradients: Fast B → Zero (multi-layer fade), Fast A ↔ B fill, OB/OS bands - Dynamic colors: Green/red based on sign or trend - Zero line + dashed OB/OS thresholds Alerts: Trigger on OB/OS returns, Slow Line changes, and divergences. █ SETTINGS AND CUSTOMIZATION - Line Visibility: Toggle Slow, Fast A, Fast B, Line 4 independently. Line Lengths: - Slow Line: Base (20), Primary EMA (5), Extra EMA (5) - Fast A: Lookback (6), EMA (7) - Fast B: Lookback (6), EMA (10) - Line 4: Lookback (14), EMA (1) - Slow Line Coloring Mode: “Direction” (trend-based) or “Position vs Zero”. - Bands & Thresholds: Overbought (+30), Oversold (–30), step 0.1. - Signals: Enable Fast A OB/OS return markers (default: on). - Divergence: Enable/disable, Pivot Length (default: 2, min 1). - Colors & Appearance: Full control over bullish/bearish hues for all lines, zero, bands, divergence, and text. Gradients & Transparency: - Fast B → Zero: 75 (default) - Fast A ↔ B fill: 50 - Band gradients: 40 - Toggle each gradient independently █ USAGE EXAMPLES The indicator allows users to configure various strategies manually, though no built-in alerts exist for them. Entry signals can include color of fast lines, crossovers between different lines, alignment of colors across lines, or consistency in direction. - Trend Confirmation: Slow Line above zero + green = bullish bias; below + red = bearish. - Entry Timing: Buy on Fast A crossing above –30 (circle marker), especially if Slow Line is rising or near zero. - Reversal Setup: Bullish divergence (“Bull” label) + Fast A in oversold + green gradient band = high-probability long. - Scalping: Fast A vs Fast B crossover in direction of Slow Line trend. - Noise Reduction: Increase extraSmoothLen on Slow Line █ USER NOTES - Best combined with volume, support/resistance, or trend channels. - Adjust lookback and smoothing to asset volatility. - Divergence delay = pivotLength; plan entries accordingly.
Pine Script® indicator
by Uncle_the_shooter
6
Quantura - Trendchange ZonesIntroduction “Quantura – Trendchange Zones” is an advanced technical indicator that identifies and visualizes potential market reversal zones using dynamic RSI-based logic. It highlights areas of overbought and oversold conditions, marking them as visual zones directly on the price chart, and generates corresponding bullish and bearish signals when the RSI exits these extremes. The tool helps traders anticipate possible trend change regions and confirm momentum shifts in a clean, intuitive way. Originality & Value Unlike traditional RSI indicators that only show a static oscillator, this tool transforms RSI behavior into on-chart visual zones that represent structural overbought and oversold phases. It converts RSI threshold breaches into price-based regions (boxes) and marks reversal signals at the moment of momentum change. The indicator’s originality and usefulness come from its: Direct visualization of RSI overbought and oversold areas as dynamic chart zones. Automatic detection of potential reversal regions where momentum exhaustion is likely. Integration of RSI-based signals and visual cues without requiring users to monitor the RSI window. Adjustable sensitivity for RSI length and upper/lower levels. Clear color-coded separation of bullish and bearish phases. Functionality & Core Logic The indicator continuously monitors RSI values relative to the user-defined thresholds. When RSI moves above the upper level, an Overbought Zone is created and extends until RSI falls back below that threshold. When RSI moves below the lower level, an Oversold Zone is generated and extends until RSI returns above that level. When RSI exits one of these zones, a corresponding Trendchange Signal (▲ bullish or ▼ bearish) appears at the transition point. Each zone dynamically adjusts its high and low levels during formation, representing the complete range of the exhaustion phase. Parameters & Customization RSI Length: Defines the sensitivity of RSI calculation. Shorter lengths make signals more responsive; longer lengths filter noise. Upper Level / Lower Level: Set thresholds for overbought and oversold conditions (default 70 / 30). Signals: Toggle on/off for displaying bullish (▲) and bearish (▼) reversal signals. Zones: Toggle the visualization of shaded RSI-based zones. Colors: Fully customizable bullish and bearish colors for both signals and zones. Visualization & Display Bullish reversal zones (oversold exits) are shaded using the chosen bullish color (default: blue). Bearish reversal zones (overbought exits) are shaded using the chosen bearish color (default: red). Each completed zone is outlined and filled with transparent shading for better clarity. Reversal arrows (▲ for bullish, ▼ for bearish) are displayed at the bar where RSI exits the extreme level. Clean overlay design ensures compatibility with any chart style or color scheme. Use Cases Identify overbought and oversold periods directly on the price chart without switching to the RSI window. Anticipate potential market reversals or exhaustion points based on RSI momentum shifts. Combine with trend indicators, moving averages, or volume tools for confirmation. Apply across multiple timeframes to align short-term reversal signals with higher timeframe momentum. Use zone width and duration to assess the strength and persistence of overbought/oversold conditions. Limitations & Recommendations The indicator is not a standalone trading system but a visual confirmation tool. False signals may occur in strongly trending markets where RSI remains overextended. Optimal RSI settings may differ between assets (e.g., crypto vs. equities). Combining this indicator with additional trend or structure filters can enhance accuracy. Markets & Timeframes The “Quantura – Trendchange Zones” indicator works across all markets and timeframes, including cryptocurrencies, Forex, stocks, and commodities. It is suitable for both short-term scalping and long-term swing analysis. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Important This description complies with TradingView’s Script Publishing and House Rules. It provides a clear explanation of the indicator’s originality, logic, and function while avoiding unrealistic performance or predictive claims.
Pine Script® indicator
by Quantura
3
OutsiderEdge - Adaptive Node Efficiency Function (ANEF)Overview - What is ANEF? ANEF is a zero-centered oscillator that blends price efficiency, effective volume around VWAP (node proximity), order-flow imbalance (uptick/downtick proxy), and returns volatility into a single, normalized score. The goal is to help you spot efficient breakouts and inefficient mean-reversions in a way that’s transparent, systematic, and easy to align with your own analysis. Users can combine ANEF’s components to build rules such as: “ Only consider short breakout signals when trend context is bearish and the ANEF score pushes into the Efficient Zone ,” or “ Look for mean-reversion setups when the ANEF score sinks into the Inefficient Zone while trend context remains bullish. ” While ANEF can stand on its own, it also works well as a secondary confirmation layer to a user’s primary process (volume profile, price action, S/R, market structure, or your preferred overlays). 🔹 FEATURES Below is each ANEF component/feature in the order that typically leads to the most confluence. ANEF Core (Normalized Score) Combines a price change term with effective volume near VWAP and order-flow imbalance, scaled by volatility and normalized into a zero-centered oscillator. Read it like a pressure gauge: high positive values = efficient upside impulse risk; deep negative values = inefficient pressure that often reverts. Efficient & Inefficient Zones (Thresholds) Two user-set levels (default ≥ +4.6 and ≤ −4.6) to quickly see when ANEF pushes into efficient breakout territory (top zone) or inefficient territory (bottom zone). Thresholds are not overbought/oversold; they’re contextual “efficiency bands.” 2nd-Signal Confirmation (Optional) An opt-in rule to ignore the first signal of a type and only print the second occurrence within X bars (default 6). Reduces one-off noise without repainting or lookahead. Trend Context (EMA-based Wave, Optional) A lightweight EMA context that lets you filter signals (e.g., only show ▼ in downtrend, only show ▲ in uptrend). The context is plotted as a sub-pane wave centered around zero so it doesn’t fight for price-panel space. Clean Alerts (Raw & Confirmed) Raw alerts fire at zone interactions. Confirmed alerts respect the 2nd-signal rule and (optionally) the trend filter. Price-Panel Markers (through force_overlay) Even with the oscillator in a separate pane, ANEF can print mini markers on the main chart. Useful to correlate impulses/reversions with structure, S/R, or higher-TF levels. 🔹 USAGE In the examples below, you see chart snapshot with five labeled points of (in)efficiency breakouts. ICMARKETS:UK100 Point 1 — Efficient Downside Breakout (▼) ANEF surges into the Efficient Zone, indicating downside momentum that’s aligned with node volume/imbalance and volatility. Typical use: trend-following continuation, takeprofit on existing long or tightening risk on existing shorts (invalidations above recent structure). Point 2 — Inefficient Upside Reversion (▲) First rebound after the selloff with ANEF deep in the Inefficient Zone. Not an ideal long entry on its own, but a good management cue: take partial profits on shorts or tighten stops as an early confirmation that the drop may be exhausting. Point 3, 4 and 5 — Inefficient Upside Reversion (▲) Another 3x ▲ appears as price forms a higher low and ANEF prints a less extreme negative reading. With the “second-signal within X bars” option enabled, this becomes a more credible mean-reversion attempt. Possible long entries or takeprofits on existing shorts. Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management. 🔹 NAVIGATING MARKET CONDITIONS Trending phases: Expect more time in or near the zones in the trend direction. Consider allowing only trend-aligned signals (filter ON) and using counter zone exits for trail/partials rather than counter-trend trades. Ranging phases: Expect frequent dips and surges into the (In)efficient Zones and back. Counter-moves (▲ in range downs, ▼ in range ups) can be productive with tight invalidation and the 2nd-signal rule to reduce noise. Regime shifts: Watch for repeated failures of one side’s signals plus cross-pane confluence (e.g., context flips while ANEF re-anchors around zero). That sequence often marks transitions where your rules should adapt (e.g., disable the trend filter temporarily or widen your 2nd-signal window). 🔹 SETTINGS SUMMARY ANEF Core: lengthPrice, lengthVol, lengthVolat, imbalanceCap Zones: Efficient (≥), Inefficient (≤) Confirmation: Require 2nd signal, Lookahead bars Trend Filter: Enable, EMA length, optional smoothing & “only show ▲/▼ with trend” Chart Markers: Also show on main chart (force_overlay) Alerts: Raw vs Confirmed (pick what suits your workflow) 🔹 GOOD PRACTICES Treat signals as context cues, not as mechanical buy/sell calls. You can align ANEF with structure (S/R, HTF bias, LVN, HVN or POC) and risk management (partials on zone exit, invalidation beyond recent swing). Start with defaults; tweak parameters to match your market/TF. 🔹 LIMITATIONS / DISCLAIMER ANEF does not use lookahead and does not repaint, but no indicator guarantees outcomes. Thresholds are heuristics; markets can remain efficient/inefficient longer than expected. Use appropriate position sizing and independent validation. Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management. Release Notes v1.0 — Initial invite-only release with: normalized ANEF core, Efficient/Inefficient zones, optional EMA trend context, 2nd-signal confirmation, raw & confirmed alerts, and optional price-panel markers via force_overlay.
Pine Script® indicator
by OutsiderEdge
4
KD-NewAutoTrade for Future Trading - Heikin Ashi candles The KD-NewAutoTrade strategy is a dynamic trend-following indicator designed for scalping and swing trading across crypto, forex, and index futures. It combines the precision of EMA crossovers, RSI momentum, and ADX trend strength to deliver clear Buy/Sell signals with high reliability. 🔹 Core Logic EMA Fast & Slow Crossover – Identifies short-term and long-term trend shifts. RSI Confirmation – Filters out false signals by requiring RSI to cross custom Buy/Sell thresholds. ADX Filter – Ensures trades only trigger when market trend strength exceeds your chosen ADX minimum. 🔹 Key Features Visual Buy/Sell triangles directly on the chart. Customizable inputs for EMA, RSI, and ADX lengths. Works efficiently on all timeframes and all markets (Crypto, Indices, Stocks, Commodities). Optional background highlights for active trade zones. Alert conditions for both BUY and SELL setups – ready to use in automated strategies or alert bots. 🔹 Recommended Usage Use Heikin Ashi candles Works best on 1M - 5M timeframes. Combine with volume or higher-timeframe trend confirmation for stronger signals.
Pine Script® indicator
by krish16887
Bifurcation Point Adaptive (Auto Oscillator ML)Bifurcation Point Adaptive - Auto Oscillator ML Overview Bifurcation Point Adaptive (🧬 BPA-ML) represents a paradigm shift in divergence-based trading systems. Rather than relying on static oscillator settings that quickly become obsolete as market dynamics shift, BPA-ML employs multi-armed bandit machine learning algorithms to continuously discover and adapt to the optimal oscillator configuration for your specific instrument and timeframe. This self-learning core is enhanced by a Cognitive Analytical Engine (CAE) that provides market-state intelligence, filtering out low-probability setups before they reach your chart. The result is a system that doesn't just detect divergences - it understands context, learns from outcomes, and evolves with the market. What Sets This Apart: Technical Comparison The TradingView community has many excellent divergence indicators and several claiming "machine learning" capabilities. However, a detailed technical analysis reveals that BPA-ML operates at a fundamentally different level of sophistication. Machine Learning: Real vs Marketing Most indicators labeled "ML" or "AI" on TradingView use one of three approaches: K-Nearest Neighbors (KNN): These indicators find similar historical patterns and assume current price will behave similarly. This is pattern matching, not learning. The system doesn't improve over time or adapt based on outcomes - it simply searches historical data for matches. Clustering (K-Means): These indicators group volatility or market states into categories (high/medium/low). This is statistical classification, not machine learning. The clusters are recalculated but don't learn which classifications produce better results. Gaussian Process Regression (GPR): These indicators use kernel weighting to create responsive moving averages. This is advanced curve fitting, not learning. The system doesn't evaluate outcomes or adjust strategy. BPA-ML's Approach: True Reinforcement Learning BPA-ML implements multi-armed bandit algorithms - a proven reinforcement learning technique used in clinical trials, A/B testing, and recommendation systems. This is fundamentally different: Exploration vs Exploitation: The system actively balances trying new configurations (exploration) against using proven winners (exploitation). KNN and clustering don't do this - they simply process current data against historical patterns. Reward-Based Learning: Every configuration is scored based on actual forward returns, normalized by volatility and clipped to prevent outlier dominance. The system receives a bonus when signals prove profitable. This creates a feedback loop where the indicator literally learns what works for your specific instrument and timeframe. Four Proven Algorithms: UCB1 (Upper Confidence Bound), Thompson Sampling (Bayesian), Epsilon-Greedy, and Gradient-based learning. Each has different exploration characteristics backed by peer-reviewed research. You're not getting marketing buzzwords - you're getting battle-tested algorithms from academic computer science. Continuous Adaptation: The learning never stops. As market microstructure evolves, the bandit discovers new optimal configurations. Other "adaptive" indicators recalculate but don't improve - they use the same logic on new data. BPA-ML fundamentally changes which logic it uses based on what's working. The Configuration Grid: 40 Arms vs Fixed Settings Traditional divergence indicators use a single oscillator with fixed parameters - typically RSI with length 14. More advanced systems might let you choose between RSI, Stochastic, or CCI, but you're still picking one manually. BPA-ML maintains a grid of 40 candidate configurations: - 5 oscillator families (RSI, Stochastic, CCI, MFI, Williams %R) - 4 length parameters (short, medium, medium-long, long) - 2 smoothing settings (fast, slow) The bandit evaluates all 40 continuously and automatically selects the optimal one. When market microstructure changes - say, from trending crypto to ranging forex - the system discovers this and switches configurations without your intervention. Why This Matters: Markets exhibit different characteristics. Bitcoin on 5-minute charts might favor fast Stochastic (high sensitivity to quick moves), while EUR/USD on 4-hour charts might favor smoothed RSI (filtering noise in steady trends). Manual optimization is guesswork. The bandit discovers these nuances mathematically. Cognitive Analytical Engine: Beyond Simple Filters Many divergence indicators include basic filters - perhaps checking if RSI is overbought/oversold or if volume increased. These are single-metric gates that treat all market states the same. BPA-ML's CAE synthesizes five intelligence layers into a comprehensive market-state assessment: Trend Conviction Score (TCS): Combines ADX normalization, multi-timeframe EMA alignment, and structural persistence. This isn't just "is ADX above 25?" - it's a weighted composite that captures trending vs ranging regimes with nuance. The threshold itself is adaptive via mini-bandit if enabled. Directional Momentum Alignment (DMA): ATR-normalized EMA spread creates a regime-aware momentum indicator. The same price move reads differently in high vs low volatility environments. Most indicators ignore this context. Exhaustion Modeling: Aggregates volume spikes, pin bar formations, extended runs without pullback, and extreme oscillator readings into a unified probability of climax. This multi-factor approach catches exhaustion signals that single metrics miss. High exhaustion can override trend filters - allowing reversal trades at genuine turning points that basic filters would block. Adversarial Validation: Before approving a bullish signal, the engine quantifies both the bull case AND the bear case. If the opposing case dominates by a threshold, the signal is blocked. This is game-theory applied to trading - most indicators don't check if you're fighting obvious strength in the opposite direction. Confidence Scoring: Every signal receives a 0-1 quality score blending all CAE components plus divergence strength. You can size positions by confidence - a concept absent in most divergence indicators that treat all signals identically. Adaptive Parameters: Mini-Bandits Even the filtering thresholds themselves learn. Most indicators have you set pivot lookback periods, minimum divergence strength, and trend filter strictness manually. These are instrument-specific - what works for one asset fails on another. BPA-ML's mini-bandits optimize: - Pivot lookback strictness (balance between catching small structures vs requiring major swings) - Minimum slope change threshold (filter weak divergences vs allow early entries) - TCS threshold for trend filtering (how strict counter-trend blocking should be) These learn the same way the oscillator bandit does - via reward scoring and outcome evaluation. The entire system personalizes to your trading context. Visual Intelligence: Five Presentation Modes Most indicators offer basic customization - perhaps choosing colors or line thickness. BPA-ML includes five distinct visual modes, each designed for specific use cases: Quantum Mode: Renders signals as probability clouds where opacity encodes confidence. High-confidence signals are bold and opaque; low-confidence signals are faint and translucent. This visually guides position sizing in a way that static markers cannot. No other divergence indicator I've found uses confidence-based visual encoding. Holographic Mode: Multi-layer gradient bands create depth perception showing signal quality zones. Excellent for teaching and presentations. Cyberpunk Mode: Neon centerlines with particle glow trails. High-contrast for immersive dark-theme trading. Standard Mode: Professional dashed lines and zones. Clean, presentation-ready. Minimal Mode: Maximum performance for backtesting and low-powered devices. The visual system isn't cosmetic - it's part of the decision support infrastructure. Dashboard: Real-Time Intelligence Many indicators include dashboards showing current indicator values or basic statistics. BPA-ML's dashboard is a comprehensive control center: Oscillator Section: Shows which configuration is currently selected, why it's selected (pull statistics, reward scores), and learning progression (warmup, learning, active). CAE Section: Real-time TCS, DMA, Exhaustion, Adversarial cases, and Confidence scores with visual indicators (emoji-coded states, bar graphs, trend arrows). Bandit Performance: Algorithm selection, mode (Switch vs Blend), arm distribution, differentiation metrics, learning diagnostics. State Metrics Grid (Large mode): Normalized readings for trend alignment, momentum, volatility, volume flow, Bollinger position, ROC, directional movement, oscillator bias - all synthesized into a composite market state. This level of transparency is rare. Most "black box" indicators hide their decision logic. BPA-ML shows you exactly why it's making decisions in real-time, enabling informed discretionary overrides. Repainting: Complete Transparency Many divergence indicators don't clearly disclose repainting behavior. BPA-ML offers three explicit timing modes: Realtime: Shows developing signals on current bar. Repaints by design - this is a preview mode for learning, not for trading. Confirmed: Signals lock at bar close. Zero repainting. Recommended for live trading. Pivot Validated: Waits for full pivot confirmation (5+ bar delay). Highest purity, zero repainting, ideal for backtesting divergence quality. You choose the mode based on your priority - speed vs certainty. The transparency empowers rather than obscures. Educational Value: Learning Platform Most indicators are tools - you use them, but you don't learn from them. BPA-ML is designed as a learning platform: Advisory Mode: Signals always appear, but blocked signals receive warning annotations explaining why CAE would have filtered them. You see the decision logic in action without missing learning opportunities. Dashboard Transparency: Real-time display of all metrics shows exactly how market state influences decisions. Comprehensive Documentation: In-indicator tooltips, extensive publishing statement, and user guides explain not just what to click, but why the algorithms work and how to apply them strategically. Algorithm Comparisons: By trying different bandit algorithms (UCB1 vs Thompson vs Epsilon vs Gradient), you learn the differences between exploration strategies - knowledge applicable beyond trading. This isn't just a signal generator - it's an educational tool that teaches machine learning concepts, market intelligence interpretation, and systematic decision-making. What This System Is NOT To be completely transparent about positioning: Not a Prediction System: BPA-ML doesn't predict future prices. It identifies structural divergences, assesses current market state, and learns which oscillator configurations historically correlated with better forward returns. The learning is retrospective optimization, not fortune telling. Not Fully Automated: This is a decision support tool, not a push-button profit machine. You still need to execute trades, manage risk, and apply discretionary judgment. The confidence scores guide position sizing, but you determine final risk allocation. Not Beginner-Friendly: The sophistication comes with complexity. This system requires understanding of divergence trading, basic machine learning concepts, and market state interpretation. It's designed for intermediate to advanced traders willing to invest time in learning the system. Not Magic: Even with optimal configurations and intelligent filtering, markets are probabilistic. Losing trades are inevitable. The system improves your probability distribution - it doesn't eliminate risk or guarantee profits. The Fundamental Difference Here's the core distinction: Traditional Divergence Indicators: Detect patterns and hope they work. "ML" Indicators (KNN/Clustering): Detect patterns and compare to historical similarities. BPA-ML: Detects patterns, evaluates outcomes, learns which detection methods work best for this specific context, understands market state before suggesting trades, and continuously improves without manual intervention. The difference isn't incremental - it's architectural. This is trading system infrastructure with embedded intelligence, not just a pattern detector with filters. Who This Is For BPA-ML is ideal for traders who: - Value systematic approaches over discretionary guessing - Appreciate transparency in decision logic - Are willing to let systems learn over 200+ bars before judging performance - Trade liquid instruments on 5-minute to daily timeframes - Want to learn machine learning concepts through practical application - Seek professional-grade tools without institutional price tags It's not ideal for: - Absolute beginners needing simple plug-and-play systems - 1-minute scalpers (noise dominates at very low timeframes) - Traders of illiquid instruments (insufficient data for learning) - Those seeking magic solutions without understanding methodology - Impatient optimizers wanting instant perfection What Makes This Original The innovation in BPA-ML lies in three interconnected breakthroughs that work synergistically: 1. Multi-Armed Bandit Oscillator Selection Traditional divergence indicators require manual optimization - you choose RSI with a length of 14, or Stochastic with specific settings, and hope they work. BPA-ML eliminates this guesswork through machine learning. The system maintains a grid of 40 candidate oscillator configurations spanning five oscillator families (RSI, Stochastic, CCI, MFI, Williams %R), four length parameters, and two smoothing settings. Using proven bandit algorithms (UCB1, Thompson Sampling, Epsilon-Greedy, or Gradient-based learning), the system continuously evaluates which configuration produces the best forward returns and automatically switches to the winning arm. This isn't random testing - it's intelligent exploration with exploitation, balancing the discovery of new opportunities against leveraging proven configurations. 2. Cognitive Analytical Engine (CAE) Divergences occur constantly, but most fail. The CAE solves this by computing a comprehensive market intelligence layer: Trend Conviction Score (TCS): Synthesizes ADX normalization, multi-timeframe EMA alignment, and structural persistence into a single 0-1 metric that quantifies how strongly the market is trending. When TCS exceeds your threshold, the system knows to avoid counter-trend trades unless other factors override. Directional Momentum Alignment (DMA): Measures the spread between fast and slow EMAs, normalized by ATR. This creates a regime-aware momentum indicator that adjusts its interpretation based on current volatility. Exhaustion Modeling: Aggregates volume spikes, pin bar formations, extended runs above/below EMAs, and extreme RSI readings into a probability that the current move is reaching climax. High exhaustion can override trend filters, allowing reversal trades at genuine turning points. Adversarial Validation: Before approving a bullish signal, the engine quantifies both the bull case (proximity to support EMAs, oversold conditions, volume confirmation) and the bear case (distance to resistance, overbought conditions). If the opposing case dominates by your threshold, the signal is blocked or flagged with a warning. Confidence Scoring: Every signal receives a 0-1 confidence score blending TCS, momentum magnitude, pullback quality, market state metrics, divergence strength, and adversarial advantage. You can gate signals on minimum confidence, ensuring only high-probability setups reach your attention. 3. Adaptive Parameter Mini-Bandits Beyond the oscillator itself, BPA-ML uses additional bandit systems to optimize: - Pivot lookback strictness - Minimum slope change threshold - TCS threshold for trend filtering These parameters are often instrument-specific. The adaptive bandits learn these nuances automatically. Why These Components Work Together Each layer serves a specific purpose in the signal generation hierarchy: Layer 1 - Oscillator Selection: The bandit ensures you're always using the oscillator configuration best suited to current market microstructure. Layer 2 - Divergence Detection: With the optimal oscillator selected, the engine scans for structural divergences using confirmed pivots. Layer 3 - CAE Filtering: Raw divergences are validated against market intelligence. Layer 4 - Spacing & Timing: Quality signals need proper spacing to avoid over-trading. This isn't a random collection of indicators. It's a decision pipeline where each stage refines signal quality, and the machine learning ensures the entire system stays calibrated to your specific trading context. Core Components - Deep Dive Divergence Engine The foundation is a dual-mode divergence detector: Regular Divergence: Price makes a higher high while oscillator makes a lower high (bearish), or price makes a lower low while oscillator makes a higher low (bullish). These signal potential reversals. Hidden Divergence: Price makes a lower high while oscillator makes a higher high (bullish continuation), or price makes a higher low while oscillator makes a lower low (bearish continuation). These signal trend strength. Pivots are confirmed using symmetric lookback periods. Divergence strength is quantified via slope separation between price and oscillator. Signal Timing Modes Realtime (live preview): Shows potential signals on current bar. Repaints by design. Use for learning only. Confirmed (1-bar delay): Signals lock at bar close. No repainting. Recommended for live trading. Pivot Validated: Waits for full pivot confirmation (5+ bar delay). Highest purity, best for backtesting. Multi-Armed Bandit Algorithms UCB1: Optimism under uncertainty. Excellent balance for most use cases. Thompson Sampling: Bayesian approach with smooth exploration. Great for long-term adaptation. Epsilon-Greedy: Simple exploitation with random exploration. Easy to understand. Gradient-based: Lightweight weight adjustment based on rewards. Fast and efficient. Bandit Operating Modes Switch Mode: Uses top-ranked arm directly. Maximum amplitude, crisp signals. Blend Mode: Softmax mixture with dominant-arm preservation. Ensemble stability while maintaining amplitude for overbought/oversold crossings. How to Use This Indicator Initial Setup 1. Apply BPA-ML to your chart 2. Select visual mode (Minimal/Standard/Holographic/Cyberpunk/Quantum) 3. Choose signal timing - "Confirmed (1-bar delay)" for live trading 4. Set Oscillator Type to "Auto (ML)" and enable it 5. Select bandit algorithm - UCB1 recommended 6. Choose Blend mode with temperature 0.4-0.5 CAE Configuration Start with "Advisory" mode to learn the system. Signals appear with warnings if CAE would have blocked them. Switch to "Filtering" mode when comfortable - CAE actively blocks low-quality signals. Enable the three primary filters: - Strong Trend Filter - Adversarial Validation - Confidence Gating Parameter Guidance by Trading Style Scalping (1-5 minute charts): - Algorithm: Thompson or UCB1 - Mode: Blend (temp 0.3-0.4) - Horizon: 8-12 bars - Min Confidence: 0.30-0.40 - TCS Threshold: 0.70-0.80 - Spacing: 8-12 any, 16-24 same-side Day Trading (15min-1H charts): - Algorithm: UCB1 - Mode: Blend (temp 0.4-0.6) - Horizon: 12-24 bars - Min Confidence: 0.35-0.45 - TCS Threshold: 0.80-0.85 - Spacing: 12-20 any, 20-30 same-side Swing Trading (4H-Daily charts): - Algorithm: UCB1 or Thompson - Mode: Blend (temp 0.6-1.0) or Switch - Horizon: 20-40 bars - Min Confidence: 0.40-0.55 - TCS Threshold: 0.85-0.95 - Spacing: 20-40 any, 30-60 same-side Signal Interpretation Bullish Signals: Green markers below price. Enter long when detected. Bearish Signals: Red markers above price. Enter short when detected. Blocked Signals: Orange X markers show filtered signals (Advisory mode). Confidence Rings: Single ring at 50%+ confidence, double at 70%+. Use for position sizing. Dashboard Metrics Oscillator Section: Shows active type, value, state, and parameters. Cognitive Engine: - TCS: 0.80+ indicates strong trend - DMA: Momentum direction and strength - Exhaustion: 0.75+ warns of reversal - Bull/Bear Case: Adversarial scoring - Differential: Net directional advantage Bandit Performance: Shows algorithm, mode, selected configuration, and learning diagnostics. Visual Zones - Bullish Zone: Blue/cyan tint - favorable for longs - Bearish Zone: Red/magenta tint - favorable for shorts - Exhaustion Zone: Yellow warning - reduce sizing Visual Mode Selection Minimal: Clean triangles, maximum performance Standard: Dashed lines with zones, professional presentation Holographic: Gradient bands, excellent for teaching Cyberpunk: Neon glow trails, high contrast Quantum: Probability cloud with confidence-based opacity Calculation Methodology Oscillator Computation For each bandit arm: calculate base oscillator, apply smoothing, normalize to 0-100. Switch mode: use top arm directly. Blend mode: softmax mixture blended with dominant arm (70/30) to preserve amplitude. Divergence Detection 1. Identify price and oscillator pivots using symmetric periods 2. Store recent pivots with bar indices 3. Scan for slope disagreements within lookback range 4. Require minimum slope separation 5. Classify as regular or hidden divergence 6. Compute strength score CAE Metrics TCS: 0.35×ADX + 0.35×structural + 0.30×alignment DMA: (EMA21 - EMA55) / ATR14 Exhaustion: Aggregates volume, divergence, RSI extremes, pins, extended runs Confidence: 0.30×TCS + 0.25×|DMA| + 0.20×pullback + 0.15×state + 0.10×divergence + adversarial Bandit Rewards Every horizon period: compute log return normalized by ATR, clip to ±0.5, bonus if signal was positive. Update arm statistics per algorithm. Ideal Market Conditions Best Performance: - Liquid instruments with clear structure - Trending markets with consolidations - 5-minute to daily timeframes - Consistent volume and participation Learning Requirements: - Minimum 200 bars for warmup - Ideally 500-1000 bars for full confidence - Performance improves as bandit accumulates data Challenging Conditions: - Extremely low liquidity - Very low timeframes (1-minute or below) - Extended sideways consolidation - Fundamentally-driven gap markets Dashboard Interpretation Guide TCS: - 0.00-0.50: Weak trend, reversals viable - 0.50-0.75: Moderate trend, mixed approach - 0.75-0.85: Strong trend, favor continuation - 0.85-1.00: Very strong trend, counter-trend high risk DMA: - -2.0 to -1.0: Strong bearish - -0.5 to 0.5: Neutral - 1.0 to 2.0: Strong bullish Exhaustion: - 0.00-0.50: Fresh move - 0.50-0.75: Mature, watch for reversals - 0.75-0.85: High exhaustion - 0.85-1.00: Critical, reversal imminent Confidence: - 0.00-0.30: Low quality - 0.30-0.50: Moderate quality - 0.50-0.70: High quality - 0.70-1.00: Premium quality Common Questions Why no signals? - Blend mode: lower temperature to 0.3-0.5 - Loosen OB/OS to 65/35 - Lower min confidence to 0.35 - Reduce spacing requirements - Use Confirmed instead of Pivot Validated Why frequent oscillator switching? - Normal during warmup (first 200+ bars) - After warmup: may indicate regime shifting market - Lower temperature in Blend mode - Reduce learning rate or epsilon Blend vs Switch? Use Switch for backtesting and maximum exploitation. Use Blend for live trading with temperature 0.3-0.5 for stability. Recalibration frequency? Never needed. System continuously adapts via bandit learning and weight decay. Risk Management Integration Position Sizing: - 0.30-0.50 confidence: 0.5-1.0% risk - 0.50-0.70 confidence: 1.0-1.5% risk - 0.70+ confidence: 1.5-2.0% risk (maximum) Stop Placement: - Reversals: beyond divergence pivot plus 1.0-1.5×ATR - Continuations: beyond recent swing opposite direction Targets: - Primary: 2-3×ATR from entry - Scale at interim levels - Trail after 1.5×ATR in profit Important Disclaimers BPA-ML is an advanced technical analysis tool for identifying high-probability divergence patterns and assessing market state. It is not a complete trading system. Machine learning components adapt to historical patterns, which does not guarantee future performance. Proper risk management, position sizing, and additional confirmation methods are essential. No indicator eliminates losing trades. Backtesting results may differ from live performance due to execution factors and dynamic bandit learning. Always validate on demo before committing real capital. CAE filtering reduces but does not eliminate false signals. Market conditions change rapidly. Use appropriate stops and never risk excessive capital on any single trade. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
2
NeuroPip OscillatorNeuroPip Oscillator – Adaptive Momentum Oscillator with Deviation “Bursts” Indicator published by PipGuard. NeuroPip Oscillator is an adaptive momentum oscillator displayed in a separate panel , designed to read market momentum and regime shifts through a dynamically adjusted signal line. The main signal ( NeuroPulse ) changes color according to the active regime, while the Synapse Burst line highlights real-time deviations and momentum acceleration phases. How it Works • Non-Classical Logic: Unlike conventional 3-candle swing models, NeuroPip uses a custom adaptive mechanism that blends trend behavior , volatility , and closing dynamics over a dynamic bar range . This allows the oscillator to filter noise and focus on true structural impulses , rather than random fluctuations, producing smoother and more reliable regime detection. • Color Shift & Waves: The NeuroPulse line turns orange in bullish phases and violet in bearish phases. A Colour fill between the signal and baseline visually represents the intensity and direction of momentum in real time. • Synapse Burst (Active Deviation): The Synapse Burst line measures the distance between the momentum curve and its adaptive baseline, revealing acceleration "bursts" or momentum drops as they occur. How to Use 1. Add the oscillator to your chart (separate panel). 2. Read the color of the signal to determine the current market regime (bullish/bearish). 3. Observe the wave strength to gauge momentum continuity and pressure . 4. Use Synapse Burst spikes to confirm acceleration or deceleration in price movement. 5. Combine its insights with your risk management and main chart analysis. EXAMPLE OF USE EXAMPLE OF USE Settings • All parameters are internally preconfigured for stability and visual consistency. • Colors and waves are optimized and not user-editable. • Works on all markets and timeframes (panel overlay=false ). Alerts (Recommended to Enable) Two built-in alerts trigger on bar close when the regime changes: • Bullish Cross → signal turning bullish . • Bearish Cross → signal turning bearish . Each alert includes the symbol and timeframe , ensuring you never miss a regime shift even when you’re away from the screen. Limitations • The oscillator confirms regime changes; it does not predict them. • In low-volatility environments, transitions may appear more frequent. • Past performance does not guarantee future results . Access This script is available under invite-only access . To request access, use the link provided in the Signature below the publication. Note: Technical analysis tool designed to study price momentum and structure. It does not constitute financial advice or guarantee performance. Indicator published by PipGuard.
Pine Script® indicator
by PipGuard