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M-oscillator

Fat Tony's Composite Momentum + ROC (v0.4)Fat Tony's Composite Momentum + ROC Indicator Overview Fat Tony's Composite Momentum + ROC is a sophisticated momentum oscillator that combines multiple technical indicators into a single, volume-weighted signal. This indicator helps traders identify overbought/oversold conditions and potential reversal points by synthesizing Williams %R, Stochastic, MACD, and Rate of Change (ROC) into one composite reading. Key Features Multi-Indicator Composite: Combines Williams %R, Stochastic %K, MACD Histogram, and ROC for a comprehensive momentum view Volume Weighting: Optional volume-based amplification to filter out low-conviction moves Volume Filter: Requires minimum volume threshold (last 2 bars combined) before triggering signals Adaptive MACD Scaling: Uses tanh normalization to keep MACD contribution proportional regardless of price volatility Clear Visual Signals: Triangle markers appear only when crossing extreme levels with sufficient volume Customizable Thresholds: Adjust overbought/oversold levels, volume sensitivity, and component lengths How It Works The indicator normalizes each component to a ±50 scale, then averages them together. The composite reading oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. Signal Generation: 🟢 Rebound Watch (Green Triangle): Fires when the composite crosses UP through the oversold level with adequate volume 🔴 Fade Watch (Red Triangle): Fires when the composite crosses DOWN through the overbought level with adequate volume Customizing Settings After adding to your chart, click the gear icon next to the indicator name to access settings: Length: Base period for Williams %R and Stochastic (default: 14) MACD Fast/Slow/Signal: Standard MACD parameters (default: 12/26/9) Overbought/Oversold Levels: Threshold values for signals (default: ±100) Use Volume Weighting: Toggle volume amplification on/off Volume Sensitivity: Multiplier for volume weighting (default: 1.5) Include ROC: Toggle Rate of Change component on/off ROC Length: Lookback period for ROC calculation (default: 10) Minimum Volume: Required volume (sum of last 2 bars) for signals to trigger (default: 50,000) Usage Tips Works best on liquid instruments with consistent volume Lower timeframes (5m-15m) benefit from higher minimum volume settings Volume weighting helps filter out noise during consolidation periods Watch for signal triangles at key support/resistance levels for highest probability setups The indicator works as a momentum gauge and reversal spotter - not an entry system by itself Alerts The indicator includes built-in alert conditions: Click the "⏰" (alarm clock) icon on your chart Select "Fat Tony's Composite Momentum + ROC" Choose "Rebound Watch" or "Fade Watch" Configure your notification preferences
Pine Script® indicator
by robbooker
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
Directional Strength and Momentum Index█ OVERVIEW “Directional Strength and Momentum Index” (DSMI) is a technical analysis indicator inspired by DMI, but due to different source data, it produces distinct results. DSMI combines direction measurement, trend strength, and overheat levels into a single index, enhanced with gradient fills, extreme zones, entry signals, candle coloring, and a summary table. █ CONCEPT The classic DMI, despite its relatively simple logic, can seem somewhat chaotic due to separate +DI and -DI lines and the need for manual interpretation of their relationships. The DSMI indicator was created to increase clarity and speed up results, consolidating key information into a single index from 0 to 100 that simultaneously: - Indicates trend direction (bullish/bearish) - Measures movement strength - Identifies overheat levels - Generates ready entry signals DMI (ADX + +DI / -DI) measures trend direction and strength, but does so based solely on comparing price movements between candles. ADX shows whether the trend is orderly and growing (e.g., above 20–30), but does not assess how dynamic the movement is. DSMI, on the other hand, takes into account candle size and actual market aggression, thus showing directional momentum — whether the trend has real “fuel” to sustain or accelerate, not just whether it is orderly. The main calculation difference involves replacing True Range with candle size (high-low) and using directional EMA instead of Wilder smoothing. This allows DSMI to react faster to momentum changes, eliminating delays typical of classic DMI based on TR. This gives the trader an immediate picture of the market situation without analyzing multiple lines. █ FEATURES DSMI Main Line: - EMA(Directional Index) based on +DS and -DS - Scale 0–100, smooth color gradient depending on strength +DS / -DS: - Positive and Negative Directional Strength - Gradient fill between lines — more intense with stronger trend Extreme Zones: - Default 20 and 80 - Gradient fill outside zones Trend Strength Levels: - Weak (<10) → neutral - Moderate (up to 35) - Strong (up to 45) - Overheated (up to 55) - Extreme (>55) All levels editable Entry Signals: - Activated on crossing entry level (default 20) Or on direction change when DSMI already ≥ entry level - Highlighted background (green/red) Candle Coloring: - According to current trend Trend Strength Table: - Top-right corner - Shows current strength (WEAK/STRONG etc.) + DSMI value Alerts: - DSMI Bullish Entry - DSMI Bearish Entry █ HOW TO USE Add to Chart: Paste code in Pine Editor or find in indicator library. Settings: DSMI Parameters: - DSMI Period → default 20 - Show DSMI Line → on/off Extreme Zones: - Lower Level → default 20 - Upper Level → default 80 Trend Strength Levels: - Weak, Moderate, Strong, Overheated → adjust to strategy Trend Colors: - BULLISH → default green - BEARISH → default red - NEUTRAL → gray Entry Signals: - Show Highlight → on/off - DSMI Entry Level → default 20 Signal Interpretation: - DSMI Line: Main strength indicator. - Gradient between +DS and -DS: Visualizes side dominance. - Crossing 18 with direction confirmation → entry signal. - Extreme Zones: Potential reversal or continuation points after correction. - Table: Quick overview of current trend condition. █ APPLICATIONS The indicator works well in: - Trend-following: Enter on signal, exit on direction change or overheat. When a new trend appears, consider entering a position, preferably with a rising trend strength indicator. - Scalping/daytrading: Shorter period (7–10), lower entry level. - Swing/position: Longer period (20–30), higher entry level, extreme zones as filters. - Noise filtering: Ignores consolidation below “Weak” – increasing value e.g. to 15 highlights consolidation zones, but no signals appear there. Style Adjustment: - Aggressive strategies → shorten period and entry level - Conservative → extend period, raise entry level (25–30), watch “Overheated” “Weak” level (<10 default) → neutral; increasing it e.g. to 15 gives fewer but higher-quality signals. The Weak zone value controls the level below which no signals appear, and the gradient turns gray (often aligned with consolidation zones). Combine with: - Support/resistance levels - Fair Value Gaps (FVG) - Volume (Volume Profile, VWAP) - Other oscillators (RSI, Stochastic) █ NOTES - Works on all markets and timeframes. - Adjust period and levels to instrument volatility. - Higher entry level → fewer signals, higher quality. - Neutral color below “Weak” – avoids trading in consolidation. - Gradient and table enable quick assessment without line analysis.
Pine Script® indicator
by Uncle_the_shooter
6
ADX Trend Color HistogramOverview: This script provides a visually enhanced version of the classic Average Directional Index (ADX) indicator. Instead of a simple line, it plots the ADX as a histogram, making it easier to gauge trend strength at a glance. The key feature is its dynamic color-coding, which shifts based on the relationship between the Directional Indicators (DI+ and DI-), offering immediate insight into market momentum. Features: Histogram Style: The ADX value is presented as a histogram for clear, easy-to-read visualization of trend strength. Dynamic Color-Coding: The histogram bars are colored green when DI+ is greater than DI-, indicating bullish momentum. They turn red when DI- is greater than DI+, signaling bearish momentum. Customizable Transparency: The default color transparency is set to 80% (20% opacity) for a clean look that doesn't overpower the main chart, but this can be adjusted in the script's color settings. Built-in Alerts: The script includes configurable alerts that trigger whenever the momentum shifts, i.e., when the color of the histogram changes from red to green or vice-versa. This allows you to stay notified of potential changes in trend direction without constantly watching the chart. Clean and Simple: The code is well-structured and commented for clarity, making it easy for other PineScripters to understand or modify. How to Use: Assess Trend Strength: The height of the histogram bars represents the strength of the current trend. Higher bars suggest a stronger trend (either bullish or bearish), while lower bars indicate a weak or non-trending market. Identify Momentum Direction: The color of the bars provides a quick guide to the direction of market momentum. Green Bars: Indicate that the upward momentum is dominant. Red Bars: Indicate that the downward momentum is dominant. Use Alerts for Signals: Set up alerts in TradingView based on the "ADX Green" and "ADX Red" conditions to receive notifications for potential entry or exit signals when the momentum shifts. A change from red to green can signal a potential bullish reversal or continuation, while a change from green to red can signal a bearish one.
Pine Script® indicator
by GlareTuesday
W%R & Stoch - MTF Table✅ คำอธิบายภาษาไทย (Thai Description) Williams %R & Stochastic (9,3,3) Multi-Timeframe Table อินดิเคเตอร์นี้ออกแบบมาเพื่อช่วยเทรดเดอร์มองเห็นภาวะ Overbought / Oversold ของราคาใน หลายกรอบเวลา โดยแสดงผลเป็น ตารางมุมขวาล่าง เพื่อให้สามารถประเมินโมเมนตัมของตลาดได้อย่างรวดเร็วโดยไม่ต้องเปลี่ยน Timeframe ไปมา 🔍 Timeframes ที่แสดง 5m • 15m • 30m • 1H • 4H • 1D • 1W • 1M 📊 ค่าที่ใช้ประเมิน Williams %R (W%R) → วัดตำแหน่งราคาปัจจุบันเทียบกับ High/Low ย้อนหลัง Stochastic %K (9,3,3) → วัดโมเมนตัมและแรงเหวี่ยงของราคา 🎨 การลงสี (ตีความได้ทันที) สถานะ เงื่อนไข สี Overbought ค่า ≥ เกณฑ์ OB 🟩 เขียว Oversold ค่า ≤ เกณฑ์ OS 🟥 แดง ปกติ / กลางๆ อยู่ระหว่าง OB และ OS ⚪ เทา 🎯 วิธีนำไปใช้งาน ถ้า หลาย TF เป็น Oversold (สีแดง) → มีโอกาสเกิด แรงดีดกลับขึ้น ถ้า หลาย TF เป็น Overbought (สีเขียว) → มีโอกาสเกิด แรงกดลงของราคา ถ้า TF ใหญ่ Oversold แต่ TF เล็กเริ่มกลับตัวขึ้น → เป็นจังหวะเข้าที่มีคุณภาพสูง แนะนำให้ใช้ร่วมกับโครงสร้างราคา แนวรับ-แนวต้าน หรือ Volume เพื่อความแม่นยำที่มากขึ้น ========================================================================= ✅ English Description Williams %R & Stochastic (9,3,3) Multi-Timeframe Table This indicator provides a clear visual overview of momentum and market pressure across multiple timeframes by displaying a compact table in the bottom-right corner of the chart. It allows traders to quickly assess overbought/oversold conditions without switching timeframes. 🔍 Timeframes Displayed 5m • 15m • 30m • 1H • 4H • 1D • 1W • 1M 📊 Metrics Used Williams %R (W%R) — measures price position relative to recent highs and lows Stochastic %K (9,3,3) — measures momentum based on recent price swings 🎨 Color Coding (Quick Interpretation) Status Condition Color Overbought Value ≥ OB threshold 🟩 Green Oversold Value ≤ OS threshold 🟥 Red Neutral Between OB and OS ⚪ Gray 🎯 How to Use It Multiple timeframes Oversold (Red) → Possible bullish reversal setup Multiple timeframes Overbought (Green) → Possible bearish reversal setup If higher timeframe is Oversold but lower timeframe begins to turn upward → high-quality entry timing This indicator is not a standalone buy/sell signal. Best used with market structure, support/resistance, and volume context.
Pine Script® indicator
by August_Supertrader
Nic RSI + MACD (single pane)📊 SPACE-SAVING COMBINED INDICATOR FOR FREE USERS This indicator combines RSI and MACD into a single pane, perfect for TradingView users with limited indicator slots. Designed to match the default TradingView styling you're familiar with. 🎯 USE AS A PACKAGE: For optimal trading analysis, use this indicator together with "Nic SMA 9, SMA 200, 9 count" which displays moving averages and the 9 count on your main chart. Together, these two indicators give you a complete technical analysis setup while staying within the 2-3 indicator limit for free TradingView accounts. 📈 WHAT'S INCLUDED: ✅ RSI (Relative Strength Index) - Top Section: • Default purple line matching TradingView's built-in RSI • Reference lines at 30, 50, and 70 levels • Background shading for overbought (>70) and oversold (<30) zones • Takes up 55% of the pane for better visibility • Fully customizable period (default: 14) ✅ MACD (Moving Average Convergence Divergence) - Bottom Section: • Classic histogram with TradingView's default color scheme: - Teal/cyan for positive momentum - Red/pink for negative momentum • Blue MACD line and orange Signal line • Clear zero line for easy reference • Takes up 45% of the pane • Fully customizable periods (default: 12, 26, 9) ⚙️ CUSTOMIZATION OPTIONS: • Adjust RSI length and source • Customize RSI line color • Adjust MACD fast, slow, and signal periods • Customize MACD source • Modify gap size between RSI and MACD sections 💡 WHY USE THIS? • Saves indicator slots - combines 2 indicators into 1 • Professional appearance matching TradingView defaults • Clean, uncluttered display • All the functionality of separate RSI and MACD indicators • Perfect for traders on free or limited plans 📋 RECOMMENDED SETUP: 1. Add "Nic SMA 9, SMA 200, 9 count" to your main chart (published separately) 2. Add this "Nic RSI top + MACD bottom" indicator 3. Optionally add Volume indicator if you have a slot available This gives you moving averages, the 9 count, RSI, and MACD - everything you need for comprehensive technical analysis! 🔔 WORKS WITH FREE ACCOUNTS: Both indicators in the Nic package are designed to maximize your analysis capabilities within TradingView's indicator limits. #RSI #MACD #TechnicalAnalysis #FreeIndicators #SpaceSaving #CombinedIndicator
Pine Script® indicator
by nbennett1106
MCL RSI Conflux v2.5 — Multi-Timeframe Momentum & Z-Score Full Description Overview The MCL RSI Conflux v2.5 is a multi-timeframe momentum model that integrates daily, weekly, and monthly RSI values into a unified composite. It extends the classical RSI framework with adaptive overbought/oversold thresholds and statistical normalization (Z-score confluence). This combination allows traders to visualize cross-timeframe alignment, identify synchronized momentum shifts, and detect exhaustion zones with higher statistical confidence. Methodology The script extracts RSI data from three major time horizons: Daily RSI (short-term momentum) Weekly RSI (intermediate trend) Monthly RSI (macro bias) Each RSI is optionally smoothed, weighted, and aggregated into a Composite RSI. A Z-score transformation then measures how far each RSI deviates from its historical mean, revealing when momentum strength is statistically extreme or aligned across timeframes. Key Features Multi-Timeframe RSI Engine – Computes RSI across D/W/M intervals with individual weighting controls. Adaptive Overbought/Oversold Bands – Automatically adjusts OB/OS thresholds based on rolling volatility (standard deviation of daily RSI). Composite RSI Score – Weighted consensus RSI that represents total market momentum. Z-Score Confluence Analysis – Identifies when all three timeframes are statistically synchronized. Z-Composite Histogram – Displays aggregated Z-score strength around the midline (50). Divergence Detection – Flags confirmed pivot-based bull and bear divergences on the daily RSI. Dynamic Gradient Background – Shifts from red to green based on composite momentum regime. Customizable Control Panel – Displays RSI values, Z-scores, state, and adaptive bands for each timeframe. Integrated Alerts – For crossovers, risk-on/off thresholds, alignment, and Z-confluence events. Interpretation All RSI values above 50: multi-timeframe bullish alignment. All RSI values below 50: multi-timeframe bearish alignment. Composite RSI > 60: risk-on environment; momentum expansion. Composite RSI < 45: risk-off environment; momentum contraction. Adaptive OB/OS hits: potential exhaustion or mean reversion setup. Green Z-ribbon: all Z-scores positive and aligned (statistical confirmation). Red Z-ribbon: all Z-scores negative and aligned (broad market weakness). Divergences: short-term warning signals against the prevailing momentum bias. Practical Application Use the Composite RSI as a global momentum gauge for position bias. Trade only in the direction of higher-timeframe alignment (avoid countertrend RSI). Combine Z-ribbon confirmation with Composite RSI crosses to filter noise. Use divergence labels and adaptive thresholds for risk reduction or exit timing. Ideal for swing traders and macro momentum models seeking trend synchronization filters. Recommended Settings Market Mode k-Band Lookback Use Case Stocks / ETFs Adaptive 0.85 200 Medium-term rotation filter Crypto Adaptive 1.00 150 Volatility-responsive swing filter Commodities Fixed 70/30 100 Mean reversion model Alerts Included Daily RSI crossed above/below Weekly RSI Composite RSI > Risk-On threshold Composite RSI < Risk-Off threshold All RSI aligned above/below 50 Z-Score Conformity (All positive or all negative) Overbought/Oversold triggers Author’s Note This indicator was designed for research and systematic confluence analysis within Mongoose Capital Labs. It is not financial advice and should be used in combination with independent risk assessment, volume confirmation, and higher-timeframe context.
Pine Script® indicator
by TheRealMongoose
RSI Momentum Div With Buy/Sell Signals [TCMaster]🔍 Description: This multi-functional indicator combines RSI Momentum Divergence detection with strong candlestick-based Buy/Sell signals, offering traders a powerful tool for identifying potential market reversals and momentum shifts. ✨ Features: RSI Divergence Zones Detects bullish and bearish RSI divergences using pivot-based logic. Each divergence is visualized with a dynamic horizontal line that extends until price breaks the level. Once breached, the line switches to a dashed style to indicate invalidation. Candlestick Signal Detection Highlights high-probability reversal patterns including: 3 Line Strike (bullish/bearish) Engulfing candles (bullish/bearish) Stochastic Filter Optional filter to confirm signals only when the market is in overbought or oversold zones, improving signal reliability. Customizable Display Toggle RSI divergence and signal sections independently. Adjust colors, lookback settings, and signal logic to suit your strategy. 🧠 How to Use: Use RSI divergence zones to anticipate potential reversal areas. Combine candlestick signals with stochastic confirmation for stronger entries. Watch for dashed divergence lines as a sign of invalidated setups. ⚙️ Settings: RSI Length, Pivot Strength, Lookback Range Stochastic %K smoothing and threshold levels Enable/disable each signal type and visual layer
Pine Script® indicator
by TCMaster
Ultimate MACD Suite [BigBeluga]🔵 OVERVIEW The Ultimate MACD Suite is an advanced momentum-based system that enhances the classic MACD with modern features tailored for professional traders. It transforms MACD into a full market-decision engine — offering multi-timeframe confluence, adaptive histogram behavior, divergence detection, heatmap trend visualization, and actionable reversal signals. This toolkit goes far beyond standard MACD, helping traders identify trend momentum shifts, exhaustion zones, high-probability reversal areas, and breakout confirmation signals across multiple timeframes simultaneously. It's to be used as part of a major trading system and to simplify usage of the MACD. ⚠️ Note: This is not a traditional MACD — it uses normalized values , enhanced visual feedback, and a multi-timeframe dashboard engine for superior signal quality and clarity. 🔵 CONCEPTS Combines MACD momentum, signal-line crossovers, and histogram reversals into one system Uses normalized scaling to detect extreme momentum levels and exhaustion zones Multi-timeframe dashboard displays consensus signal alignment across several timeframes Divergence engine identifies bullish & bearish trend weakening early Heatmap mode visually distinguishes strong trend phases from neutral or fading momentum Reversal arrows & crosses highlight actionable turning points on chart 🔵 FEATURES Normalized MACD Engine — improves signal clarity across all assets/timeframes MACD Heatmap Mode — color-coded slope intensity for trend strength monitoring MACD Rising and Falling Mode — color-coded rising and falling MACD regimes Histogram Reversal Detection — early momentum fade signal before price turns Signal-Line Momentum Shifts — bullish ▲ & bearish ▼ alerts on cross-confirmation Overbought/Oversold Bands — enhanced visual thresholds at ±80 levels Smart Divergence Detection (Non-Lag) — confirms regular bullish & bearish divergences Multi-Timeframe Dashboard — MACD, signal, histogram & divergence signals across 5+ TFs Reversal Push-Filter — ensures only clean signals after confirmed momentum inflection On-Chart Reversal Labels — optional compact signal markers for clean visual execution Histogram Color Logic — rising/falling or heatmap mode for deeper momentum reading 🔵 HOW TO USE Look for MACD crossing above signal + green histogram to confirm bullish momentum Use ▼ and ▲ arrows to catch confirmed momentum reversals Monitor the dashboard — the more timeframes align, the stronger the setup Watch divergences for trend exhaustion or reversal setups Treat histogram trend shifts as early momentum clues before price reacts Use ±80 levels to identify overheated conditions & fade opportunities Combine with structure, volume, or BigBeluga liquidity tools for higher accuracy 🔵 ALERTS The indicator includes a full alert suite for automation and real-time trade readiness: MACD crossovers (Bullish / Bearish) Histogram reversals & zero-line shifts Bullish / Bearish divergence detection Overbought / Oversold MACD alerts Bullish ▲ and bearish ▼ reversal triggers Use these alerts to automate signal monitoring or feed algorithmic systems. 🔵 CONCLUSION The Ultimate MACD Suite transforms a classic indicator into a powerful trading engine. With multi-timeframe alignment, heatmapping, divergence logic, normalized scaling and automated signals, it becomes an elite momentum-confirmation and reversal-timing system built for serious traders. Whether scalping intraday or managing swing positions, this MACD engine helps identify the most profitable phases of trend movement — while warning early when a trend is weakening.
Pine Script® indicatorPaid script
by BigBeluga
19
Local Hurst Slope [Dynamic Regime]1. HOW THE INDICATOR WORKS (Math → Market Edge)Step Math Market Intuition 1. Log-Returns r_t = log(P_t / P_{t-1}) Removes scale, makes series stationary 2. R/S per τ R = max(cum_dev) - min(cum_dev) S = stdev(segment) Measures memory strength over window τ 3. H(τ) = log(R/S) / log(τ) Di Matteo (2007) H > 0.5 → Trend memory H < 0.5 → Mean-reversion 4. Slope = dH/d(log τ) Linear regression of H vs log(τ) Slope > 0.12 → Trend accelerating Slope < -0.08 → Reversion emerging LEADING EDGE: The slope changes 3–20 bars BEFORE price confirms → You enter before the crowd, exit before the trap Slope > +0.12 + Strong Trend = Bullish = Long Slope +0.05 to +0.12 = Weak Trend = Cautious = Hold/Trail Slope -0.05 to +0.05 = Random = No Edge Slope-0.08 to -0.05 = Weak Reversion = Bearish setup = Prepare Short Slope < -0.08 = Strong Reversion = Bearish= Short PRO TIPS Only trade in direction of 200-day SMA Filters false signals Avoid trading 3 days before/after earnings Volatility kills edge Use on ETFs (SPY, QQQ) Cleaner than single stocks Combine with RSI(14) RSI < 30 + Hurst short = nuclear reversal
Pine Script® indicator
by chuckb504
Crypto Breadth Engine [alex975] A normalized crypto market breadth indicator with a customizable 40 coin input panel — revealing whether rallies are broad and healthy across major coins and altcoins or led by only a few. 📊 Overview The Crypto Breadth Engine measures the real participation strength of the crypto market by analyzing the direction of the 40 largest cryptocurrencies by market capitalization. ⚙️ How It Works Unlike standard breadth tools that only count assets above a moving average, this indicator measures actual price direction: +1 if a coin closes higher, –1 if lower, 0 if unchanged. The total forms a Breadth Line, statistically normalized using standard deviation to maintain consistent readings across timeframes and volatility conditions. 🧩 Dynamic Input Mask All 40 cryptocurrencies are fully editable via the input panel, allowing users to easily replace or customize the basket (Top 40, Layer-1s, DeFi, Meme Coins, AI Tokens, etc.) without touching the code. This flexibility keeps the indicator aligned with the evolving crypto market. 🧭 Trend Bias The indicator classifies market structure as Bullish, Neutral, or Bearish, based on how the Breadth Line aligns with its moving averages (10, 20, 50). 💡 Dashboard A compact on-chart table displays in real time: • Positive and negative coins • Participation percentage • Current trend bias 🔍 Interpretation • Rising breadth → broad, healthy market expansion • Falling breadth → narrowing participation and structural weakness Ideal for TOTAL, TOTAL3, or custom crypto baskets on 1D,1W. Developed by alex975 – Version 1.0 (2025). ------------------------------------------------------------------------------------- 🇮🇹 Versione Italiana 📊 Panoramica Il Crypto Breadth Engine misura la partecipazione reale del mercato crypto, analizzando la direzione delle 40 principali criptovalute per capitalizzazione. Non si limita a contare quante coin sono sopra una media mobile, ma calcola la variazione effettiva del prezzo: +1 se sale, –1 se scende, 0 se invariato. La somma genera una Breadth Line normalizzata statisticamente, garantendo letture coerenti su diversi timeframe e fasi di volatilità. 🧩 Mascherina dinamica L’indicatore include una mascherina d’input interattiva che consente di modificare o sostituire liberamente i 40 ticker analizzati (Top 40, Layer-1, DeFi, Meme Coin, ecc.) senza intervenire nel codice. Questo lo rende sempre aggiornato e adattabile all’evoluzione del mercato crypto. ⚙️ Funzionamento e Trend Bias Classifica automaticamente il mercato come Bullish, Neutral o Bearish in base alla relazione tra la breadth e le medie mobili (10, 20, 50 periodi). 💡 Dashboard Una tabella compatta mostra in tempo reale: • Numero di coin positive e negative • Percentuale di partecipazione • Stato attuale del trend 🔍 Interpretazione • Breadth in crescita → mercato ampio e trend sano • Breadth in calo → partecipazione ridotta e concentrazione su pochi asset Ideale per analizzare TOTAL, TOTAL3 o panieri personalizzati di crypto. Funziona su timeframe 1D, 4H, 1W. Sviluppato da alex975 – Versione 1.0 (2025).
Pine Script® indicator
by Alex975
4
Momentum Pro [FluxQuant]Momentum Pro — Adaptive Momentum & Regime Filter Overview Momentum Pro is a next-generation oscillator that combines rate-of-change (ROC), relative-strength (RSI), and stochastic-momentum frameworks into a unified adaptive model. It dynamically filters momentum through volatility, directional-movement, and trend-strength conditions to highlight only qualified signals in changing market regimes. 🔹 Key Features Selectable Core Algorithm: Choose between ROC, RSI, or Stochastic momentum engines Adaptive Signal System: Cross-based entries gated by volatility and trend filters Quality Filters: Volatility, momentum intensity, and directional bias validation Overbought / Oversold Zones: Automatic detection with background visualization Multi-Timeframe Sync: Confirm intraday signals with higher-timeframe momentum Divergence Scanner: Pivot-based detection of regular bullish / bearish divergences Smart Dashboard: Real-time summary of market state, momentum strength, and filter status Dynamic Visual Themes: Gradient, Premium, and Glassmorphism histogram modes 🧠 How It Works Momentum Pro calculates normalized momentum using your selected algorithm and applies layered filters to ensure that only statistically significant moves are emphasized. The volatility filter measures current vs. average ATR to confirm expansion. The trend filter assesses DI +/ DI – differentials for directional bias. The momentum gate suppresses signals during consolidation or low-range conditions. Optional higher-timeframe data aligns local momentum with broader bias for cleaner entries. When these filters agree, momentum crossovers or divergences are visually highlighted as potential study points — not trade instructions. 📈 Interpreting the Dashboard Field Meaning Market State Identifies current regime (Bullish, Bearish, Overbought, Oversold, Ranging) Momentum Current oscillator value (0–100 normalized scale) Change Recent acceleration / deceleration in momentum Filter Whether volatility and trend criteria are satisfied Signal Active cross or directional alignment Trend / Vol / Intensity Strength metrics (Elite mode) HTF Sync Confirms alignment with higher-timeframe momentum bias Use the dashboard as a contextual overlay — not as a mechanical signal generator. 🧩 Configuration Guide Algorithm: Select ROC for reactive speed, RSI for balanced smoothness, or Stochastic for cyclical range focus. Signal Line: Enable to visualize crossovers. “Glow” style enhances contrast for clarity. Filters: Keep “Enable Filter” active to limit noise. Adjust Volatility & Trend thresholds for sensitivity. Zones: Use background fills to mark overbought / oversold regions and regime shifts. Divergence: Turn on for automatic pivot-based divergence marking. Multi-Timeframe: Enable HTF confirmation to study alignment with larger trend context. Dashboard: Choose Minimal → Elite modes depending on information density preference. 🧭 Best Practices Works on all markets — equities, futures, crypto, FX Ideal for 15 m – 4 h – Daily timeframes Pairs well with structure or liquidity analysis for confirmation Use filters to isolate expansion phases; avoid trading during neutral states ⚠️ Disclaimer Momentum Pro is an educational and analytical tool intended for research and visualization only. It does not provide financial advice, trade signals, or guaranteed outcomes. Always conduct independent analysis and risk assessment before making trading decisions. 🛠 Release Notes v 1.0 — Initial Public Release Multi-algorithm momentum core (ROC / RSI / Stochastic) Volatility + trend quality filter system Multi-timeframe synchronization and ribbon overlay Divergence scanner and contextual dashboard Dynamic visualization modes
Pine Script® indicator
by FluxQuant
SZS Slow StochasticThe SZS Slow Stochastic is a custom momentum indicator that blends the classic Slow Stochastic Oscillator with a dynamic RSI overlay and enhanced visual cues for overbought and oversold conditions. This indicator helps identify potential trend reversals, momentum shifts, and exhaustion points in price movements. Features Slow Stochastic Calculation Uses customizable %K and %D periods to measure momentum and potential turning points in price action. %K Range: default 14 %D Period: default 3 Visual Extremes Highlighting The plot line dynamically changes color to indicate: 🔴 Overbought Zone (%K ≥ 85) 🔵 Oversold Zone (%K ≤ 15) ⚪ Neutral Zone (between 15 and 85) Diamond markers appear when %K exits the overbought/oversold regions to visually flag possible reversals. RSI Momentum Overlay The RSI (Relative Strength Index) is plotted alongside, colored based on recent momentum extremes: 🟢 RSI has touched above 75 within recent bars → bullish momentum bias 🔴 RSI has touched below 25 within recent bars → bearish momentum bias Shaded Signal Zones The area between the 85 and 15 levels is shaded according to current stochastic conditions: Red shading → overbought pressure Blue shading → oversold pressure Alerts Ready Upper and lower band crossing conditions are included for easy alert configuration. Usage Tips Look for color changes and diamond markers as potential early warnings of momentum reversals. When both Stochastic and RSI show aligned signals (e.g. both indicating overbought or oversold), it strengthens the reversal or continuation signal. Combine with price structure or volume indicators for higher confidence setups.
Pine Script® indicator
by szsjabber3
[S]Hurst Cycle Channel Clone Oscillator [LazyBear] — v6 CleanHurst Cycle Channel Clone Oscillator — v6 Clean Overview This is a modernized and refactored version of LazyBear's popular Hurst Cycle Channel Clone Oscillator, updated to Pine Script v6 with improved readability, proper input grouping, and enhanced code structure. This indicator helps traders identify cyclical price movements and potential reversal points based on J.M. Hurst's cycle analysis principles. What It Does The indicator creates two normalized oscillators that measure price position relative to dynamic channel envelopes: Fast Oscillator (Red): Tracks short-term cycle movements based on current price position Slow Oscillator (Green): Tracks medium-term cycle momentum based on the short cycle's midpoint Both oscillators are normalized between 0.0 and 1.0, making overbought/oversold conditions easy to identify: Above 1.0 = Overbought territory (purple histograms) 0.5 = Neutral midpoint Below 0.0 = Oversold territory (purple histograms) Key Features ✓ Dual-Timeframe Cycle Analysis: Combines short and medium cycle lengths for comprehensive market rhythm detection ✓ ATR-Based Dynamic Channels: Automatically adjusts to market volatility ✓ Clear Visual Signals: Histogram bars highlight extreme overbought/oversold conditions ✓ Customizable Parameters: Adjust cycle lengths and multipliers to match your trading style ✓ Built-in Alert Conditions: Get notified on key crossover events ✓ Optional Bar Coloring: Visual price bar colors based on oscillator position How to Use Basic Interpretation: Fast crosses below 0.0 → Potential BUY opportunity (oversold) Fast crosses above 1.0 → Potential SELL opportunity (overbought) Fast crosses Slow → Momentum shift indication Purple histograms → Extreme conditions requiring attention Best Practices: Use in conjunction with price action and trend analysis Look for divergences between price and oscillator Pay attention when both oscillators reach extremes simultaneously Adjust cycle lengths to match the asset's dominant cycle period Settings Cycle Lengths: Short Cycle Length (default: 10) — Fast oscillator sensitivity Medium Cycle Length (default: 30) — Slow oscillator smoothing Multipliers: Short Cycle Multiplier (default: 1.0) — Controls short channel width Medium Cycle Multiplier (default: 1.8) — Controls medium channel width Alerts: Pre-configured alert conditions for all major crossover events Credits Original indicator by LazyBear This is a clean refactor maintaining the original logic while improving code quality and Pine Script version compliance.
Pine Script® indicator
by piotreksopi