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Trend Analysis

Mongoose Compass Ribbon — Regime Overlay & SizingWhat it does Mongoose Compass Ribbon paints the price chart background by market regime and displays a suggested position size. It mirrors the Compass panel’s 4-pillar score (0–4) and can lock calculations to Weekly while you view Daily or intraday charts. Regimes Expansion: score ≥ 3 (green) Neutral: score = 2 (orange) Contraction: score ≤ 1 (red) Pillars (same as panel): RS IWM/SPY (small-cap leadership) Credit HYG/LQD (risk financing) Growth Copper/Gold (cyclical vs safety) Participation (first available): Breadth → CBOE:DSPX → RSP/SPY proxy A floating label shows Score and Suggested size (default ramp: 0/30/60/90/100% for scores 0–4). How to use Anchor on Weekly. Keep Regime Timeframe = W so the ribbon shows the higher-timeframe state while you trade on Daily. Act on flips: Expansion (≥3): increase beta, reduce hedges. Neutral (2): keep moderate beta; favor quality/mega vs small caps until RS or Cu/Au turns. Contraction (≤1): de-risk, rotate defensive, add hedges. Turn on the built-in alerts: Expansion Regime and Contraction Regime. Methodology Prices are fetched via request.security on the selected Regime Timeframe. Each pillar uses ratio signals smoothed with an SMA (Smoothing Length), and binary rules: RS / Credit / Growth: fast SMA(len) vs slow SMA(len*2) Breadth: normalized > 60 DSPX: normalized < 40 RSP/SPY proxy: fast > slow Score is the count of green pillars (0–4). Suggested size is a fixed mapping from score (user-editable). Settings Sources Defaults use liquid ETFs (BATS/AMEX). Copper/Gold can be switched to futures if your plan supports them. Breadth (optional): paste a %>MA symbol if you have one. If blank, the script uses CBOE:DSPX; if DSPX isn’t available it falls back to RSP/SPY. Calculation Smoothing Length (20) – higher = steadier regime; lower = faster. Normalization Length (60) – window for 0–100 scaling in pillar tests. Regime Timeframe (W) – lock regime to Weekly while viewing lower timeframes. Visual Ribbon Opacity controls how strong the background shading is. Recommended usage Apply the Ribbon to SPY/ES (broad beta) or IWM/RTY (small-cap rotation). Pair it with the Mongoose Compass v2 panel in a separate pane for the full dashboard. Limitations & disclaimer For information and education; not investment advice. Data availability varies by plan (especially futures and DSPX). Fallbacks apply automatically.
Pine Script® indicator
by TheRealMongoose
Mongoose Compass v2 — Regime & Position SizingWhat it does Mongoose Compass v2 is a regime‐detection dashboard and optional price-chart ribbon. It combines four market “pillars” into a 0–4 score and a suggested equity beta/position size. It is scale-independent and works on any host symbol. Pillars (green = expansion supportive): RS IWM/SPY – small-cap relative strength vs large caps Credit HYG/LQD – high-yield vs investment-grade credit Growth Cu/Au – copper vs gold (cyclical demand vs safety) Participation – uses the first available of: Breadth (% > 200-DMA) if you provide a symbol, else Cboe S&P 500 Dispersion (DSPX), else RSP/SPY equal-weight proxy Score (0–4): ≥ 3 = Expansion 2 = Neutral ≤ 1 = Contraction A panel shows each pillar’s normalized value (0–100), bias, total score, and a suggested size (default mapping: 0/30/60/90/100% for scores 0–4). The companion “Ribbon” script paints the price chart background by regime and displays the suggested size. How to use Timeframes Weekly for regime calls (recommended anchor). Daily for execution within the active regime (adds, trims, hedges). Playbook Expansion (score ≥ 3): increase risk/beta; favor cyclicals, small caps, EM; reduce hedges. Neutral (score = 2): keep moderate beta; use relative value (e.g., quality/mega vs small caps) until RS or Cu/Au turns. Contraction (score ≤ 1): de-risk; rotate to defensives/quality, gold/long duration; add hedges. Alerts (included): Expansion Regime (score ≥ 3) – risk-on trigger Contraction Regime (score ≤ 1) – risk-off trigger Methodology Prices are pulled with request.security on the chosen timeframe. Pillars are built from ratios then smoothed with an SMA (Smoothing Length, default 20). For display/comparison, series are normalized to 0–100 within a rolling window (Normalization Length, default 60). Bias rules: RS / Credit / Growth: fast SMA( len ) vs slow SMA( len*2 ) of each ratio Breadth: normalized value > 60 DSPX: normalized value < 40 (lower dispersion supports index coherence) RSP/SPY proxy: fast > slow trend test Score is the count of green pillars (0–4). Suggested size is a deterministic mapping from score (editable in settings). Notes: Host chart scaling (log vs linear) does not affect calculations. If a breadth series is unavailable, the script automatically falls back to DSPX, then to RSP/SPY. Settings Sources Default inputs use liquid ETFs (BATS/AMEX). You may switch Copper/Gold to futures (e.g., COMEX_DL:HG1!, COMEX_DL:GC1!) if your data plan supports them. Optional Breadth: paste a percent-above-MA series if you have one. DSPX: uses CBOE:DSPX when breadth is blank. If neither breadth nor DSPX resolve, the script uses RSP/SPY as a participation proxy. Calculation Smoothing Length (20) – higher = steadier regime, fewer flips; lower = faster reaction. Normalization Length (60) – window for the 0–100 scaling; increase to reduce pinning at extremes. Regime Timeframe (Ribbon only) – lock the ribbon to Weekly while viewing Daily charts. Visual Show/hide dashboard table, choose table position, dark/light theme, ribbon opacity. Recommended usage Anchor decisions on Weekly Compass; use Daily for timing. For small-cap rotation, apply on IWM/RTY; for broad beta, use SPY/ES. Output is identical regardless of host symbol because inputs are fetched internally. Limitations & disclaimer This is a systematic information tool, not investment advice. Signals can whipsaw in fast markets; confirm with your risk framework. Data availability varies by plan (especially futures and DSPX). When a source is unavailable the scripted fallbacks apply automatically.
Pine Script® indicator
by TheRealMongoose
Adaptive Machine Learning Trading System [PhenLabs]📊Adaptive ML Trading System Version: PineScript™v6 📌Description The Adaptive ML Trading System is a sophisticated machine learning indicator that combines ensemble modeling with advanced technical analysis. This system uses XGBoost, Random Forest, and Neural Network algorithms to generate high-confidence trading signals while incorporating robust risk management features. Traders benefit from objective, data-driven decision-making that adapts to changing market conditions. 🚀Points of Innovation • Machine Learning Ensemble - Three integrated models (XGBoost, Random Forest, Neural Network) • Confidence-Based Trading - Only executes trades when ML confidence exceeds threshold • Dynamic Risk Management - ATR-based stop loss and max drawdown protection • Adaptive Position Sizing - Volatility-adjusted position sizing with confidence weighting • Real-Time Performance Metrics - Live tracking of win rate, Sharpe ratio, and performance • Multi-Timeframe Feature Analysis - Adaptive lookback periods for different market regimes 🔧Core Components • ML Ensemble Engine - Weighted combination of XGBoost, Random Forest, and Neural Network outputs • Feature Normalization System - Advanced preprocessing with custom tanh/sigmoid activation • Risk Management Module - Dynamic position sizing and drawdown protection • Performance Dashboard - Real-time metrics and risk status monitoring • Alert System - Comprehensive alert conditions for entries, exits, and risk events 🔥Key Features • High-confidence ML signals with customizable confidence thresholds • Multiple trading modes (Conservative, Balanced, Aggressive) for different risk profiles • Integrated stop loss and risk management with ATR-based calculations • Real-time performance metrics including win rate and Sharpe ratio • Comprehensive alert system with entry, exit, and risk management notifications • Visual confidence bands and threshold indicators for easy signal interpretation 🎨Visualization • ML Signal Line - Primary signal output ranging from -1 to +1 • Confidence Bands - Visual representation of model confidence levels • Threshold Lines - Customizable buy/sell threshold levels • Position Histogram - Current market position visualization • Performance Tables - Real-time metrics display in customizable positions 📖Usage Guidelines Model Configuration • Confidence Threshold: Default 0.55, Range 0.5-0.95 - Minimum confidence for signals • Model Sensitivity: Default 0.9, Range 0.1-2.0 - Adjusts signal sensitivity • Ensemble Mode: Conservative/Balanced/Aggressive - Trading style preference • Signal Threshold: Default 0.55, Range 0.3-0.9 - ML signal threshold for entries Risk Management • Position Size %: Default 10%, Range 1-50% - Portfolio percentage per trade • Max Drawdown %: Default 15%, Range 5-30% - Maximum allowed drawdown • Stop Loss ATR: Default 2.0, Range 0.5-5.0 - Stop loss in ATR multiples • Dynamic Sizing: Default true - Volatility-based position adjustment Display Settings • Show Signals: Default true - Display entry/exit signals • Show Threshold Signals: Default true - Display ±0.6 threshold crosses • Show Confidence Bands: Default true - Display ML confidence levels • Performance Dashboard: Default true - Show metrics table ✅Best Use Cases • Swing trading with 1-5 day holding periods • Trend-following strategies in established trends • Volatility breakout trading during high-confidence periods • Risk-adjusted position sizing for portfolio management • Multi-timeframe confirmation for existing strategies ⚠️Limitations • Requires sufficient historical data for accurate ML predictions • May experience low confidence periods in choppy markets • Performance varies across different asset classes and timeframes • Not suitable for very short-term scalping strategies • Requires understanding of basic risk management principles 💡What Makes This Unique • True machine learning ensemble with multiple model types • Confidence-based trading rather than simple signal generation • Integrated risk management with dynamic position sizing • Real-time performance tracking and metrics • Adaptive parameters that adjust to market conditions 🔬How It Works Feature Calculation: Computes 20+ technical features from price/volume data Feature Normalization: Applies custom normalization for ML compatibility Ensemble Prediction: Combines XGBoost, Random Forest, and Neural Network outputs Signal Generation: Produces confidence-weighted trading signals Risk Management: Applies position sizing and stop loss rules Execution: Generates alerts and visual signals based on thresholds 💡Note: This indicator works best on daily and 4-hour timeframes for most assets. Ensure you understand the risk management settings before live trading. The system includes automatic risk-off modes that halt trading during excessive drawdown periods.
Pine Script® indicator
by PhenLabs
3
Market Sentiment Trend Gauge [LevelUp]Market Sentiment Trend Gauge simplifies technical analysis by mathematically combining momentum, trend direction, volatility position, and comparison against a market benchmark, into a single trend score from -100 to +100. Displayed in a separate pane below your chart, it resolves conflicting signals from RSI, moving averages, Bollinger Bands, and market correlations, providing clear insights into trend direction, strength, and relative performance. THE PROBLEM MARKET SENTIMENT TREND GAUGE (MSTG) SOLVES Traditional indicators often produce conflicting signals, such as RSI showing overbought while prices rise or moving averages indicating an uptrend despite market underperformance. MSTG creates a weighted composite score to answer: "What's the overall bias for this asset?" KEY COMPONENTS AND WEIGHTINGS The trend score combines ▪ Momentum (25%): Normalized 14-period RSI, capped at ±100. ▪ Trend Direction (35%): 10/21-period EMA relationships, ▪ Volatility Position (20%): Price position, 20-period Bollinger Bands, capped at ±100. ▪ Market Comparison (20%): Daily performance vs. SPY benchmark, capped at ±100. Final score = Weighted sum, smoothed with 5-period EMA. INTERPRETING THE MSTG CHART Trend Score Ranges and Colors ▪ Bright Green (>+30): Strong bullish; ideal for long entries. ▪ Light Green (+10 to +30): Weak bullish; cautiously favorable. ▪ Gray (-10 to +10): Neutral; avoid directional trades. ▪ Light Red (-10 to -30): Weak bearish; exercise caution. ▪ Bright Red (<-30): Strong bearish; high-risk for longs, consider shorts. Reference Lines ▪ Zero Line (Gray): Separates bullish/bearish; crossovers signal trend changes. ▪ ±30 Lines (Dotted, Green/Red): Thresholds for strong trends. ▪ ±60 Lines (Dashed, Green/Red): Extreme strength zones (not overbought/oversold); manage risk (tighten stops, partial profits) but trends may persist. Background Colors ▪ Green Tint (>+20): Bullish environment; favorable for longs. ▪ Red Tint (<-20): Bearish environment; caution for longs. ▪ Light Gray Tint (-20 to +20): Neutral/range-bound; wait for signals. Extreme Readings vs. Traditional Signals MSTG ±60 indicates maximum alignment of all factors, not reversals (unlike RSI >70/<30). Use for risk management, not automatic exits. Strong trends can sustain extremes; breakdowns occur below +30 or above -30. INFORMATION TABLE INTERPRETATION Trend Score Symbols  ▲▲ >+30 strong bullish  ▲ +10 to +30  ● -10 to +10 neutral  ▼ -30 to -10  ▼▼ <-30 strong bearish  Colors: Green (positive), White (neutral), Red (negative). Momentum Score  +40 to +100 strong bullish  0 to +40 moderate bullish  -40 to 0 moderate bearish  -100 to -40 strong bearish Market vs. Stock ▪ Green: Stock outperforming market ▪ Red: Stock underperforming market Example Interpretations:  -0.45% / +1.23% (Green): Market down, stock up = Strong relative strength  +2.10% / +1.50% (Red): Both rising, but stock lagging = Relative weakness  -1.20% / -0.80% (Green): Both falling, but stock declining less = Defensive strength UNDERSTANDING EXTREME READINGS VS TRADITIONAL OVERBOUGHT/OVERSOLD ⚠️ Critical distinctions Traditional Overbought/Oversold Signals: ▪ Single indicator (like RSI >70 or <30) showing momentum excess ▪ Often suggests immediate reversal or pullback expected ▪ Based on "price moved too far, too fast" concept MSTG Extreme Readings (±60): ▪ Composite alignment of 4 different factors (momentum, trend, volatility, relative strength) ▪ Indicates maximum strength in current direction ▪ NOT a reversal signal - means "all systems extremely bullish/bearish" Key Differences: ▪ RSI >70: "Price got ahead of itself, expect pullback" ▪ MSTG >+60: "Everything is extremely bullish right now" ▪ Strong trends can maintain extreme MSTG readings during major moves ▪ Breakdowns happen when MSTG falls below +30, not at +60 Proper Usage of Extreme Readings: ▪ Risk Management: Tighten stops, take partial profits ▪ Position Sizing: Reduce new position sizes at extremes ▪ Trend Continuation: Watch for sustained extreme readings in strong markets ▪ Exit Signals: Look for breakdown below +30, not reversal from +60 TRADING WITH MSTG Quick Assessment 1. Check trend symbol for direction. 2. Confirm momentum strength. 3. Note relative performance color. Examples:  ▲▲ 55.2 (Green), Momentum +28.4, Outperforming: Strong buy setup.  ▼ -18.6 (Red), Momentum -43.2, Underperforming: Defensive positioning. Entry Conditions ▪ Long: stock outperforming market  - Score >+30 (bright green)  - Sustained green background  - ▲▲ symbol, ▪ Short: stock underperforming market  - Score <-30 (bright red)  - Sustained red background  - ▼▼ symbol Avoid Trading When: ▪ Gray zone (-10 to +10). ▪ Rapid color changes or frequent zero-line crosses (choppy market). ▪ Gray background (range-bound). Risk Management: ▪ Stop Loss: Exit on zero-line crossover against position. ▪ Take Profit: Partial at ±60 for risk control. ▪ Position Sizing: Larger when signals align; smaller in extremes or mixed conditions. KEY ADVANTAGES ▪ Unified View: Weighted composite reduces noise and conflicts. ▪ Visual Clarity: 5-color system with gradients for rapid recognition. ▪ Market Context: Relative strength vs. SPY identifies leaders/laggards. ▪ Flexibility: Works across timeframes (1-min to weekly); customizable table. ▪ Noise Reduction: EMA smoothing minimizes false signals. EXAMPLES Strong Bull: Trend Score 71.9, Momentum Score 76.9 Neutral: Trend Score 0.1, Momentum Score -9.2 Strong Bear: Trend Score -51.7, Momentum Score -51.5 PERFORMANCE AND LIMITATIONS Strengths: Trend identification, noise reduction, relative performance versus market. Limitations: Lags at turning points, less effective in extreme volatility or non-trending markets. Recommendations: View on multiple timeframes, combine with price action and fundamentals.
Pine Script® indicator
by LevelUpTools
13
Relative Performance Indicator - TrendSpider StyleRelative Performance Indicator - TrendSpider Style 📈 Overview This Relative Performance (RP) indicator measures how your stock is performing compared to a benchmark index, displayed as a percentile ranking from 0-100. Based on TrendSpider's methodology, it answers the critical question: "Is this stock a leader or a laggard?" Unlike simple ratio charts, this indicator uses percentile ranking to normalize relative performance, making it easy to identify when a stock is showing exceptional strength (>80) or concerning weakness (<20) compared to its historical relationship with the benchmark. ✨ Key Features Three Calculation Modes: Quarterly: 3-month relative performance for swing trading Yearly: Weighted 4-quarter performance for position trading TechRank: Composite of 6 technical indicators for multi-factor analysis Clean Visual Design: Green fills above 80 (strong outperformance) Red fills below 20 (significant underperformance) Dotted median line at 50 for quick reference Current value label for instant reading Flexible Benchmarks: Compare against major indices (SPY, QQQ, IWM) Sector ETFs for within-sector analysis Custom symbols for specialized comparisons Built-in Alerts: Strong performance zone entry (>80) Weak performance zone entry (<20) Median crossovers (50 level) 📊 How To Use Buy Signals: RP crosses above 80: Stock entering leadership status RP holding above 60: Maintaining relative strength RP rising while price consolidating: Accumulation phase Sell/Avoid Signals: RP drops below 50: Losing relative strength RP below 20: Significant underperformance RP falling while price rising: Bearish divergence Sector Rotation: Compare multiple assets to find strongest sectors Rotate into high RP assets (>70) Exit low RP positions (<30) 🎯 Reading The Values 80-100: Exceptional outperformance - Strong buy/hold 60-80: Moderate outperformance - Hold positions 40-60: Market perform - No edge 20-40: Underperformance - Caution/reduce 0-20: Severe underperformance - Avoid/exit ⚙️ Calculation Method Calculates percentage performance of both your stock and the benchmark Finds the performance differential Ranks this differential against historical values using percentile analysis Normalizes to 0-100 scale for easy interpretation This percentile approach adapts to different market conditions and volatility regimes, providing consistent signals whether in trending or choppy markets. 💡 Pro Tips For Growth Stocks: Use quarterly mode with QQQ as benchmark For Value Stocks: Use yearly mode with SPY as benchmark For Small Caps: Compare against IWM, not SPY For Sector Analysis: Use sector ETFs (XLK, XLF, XLE, etc.) Combine with Price Action: High RP + price breakout = powerful signal ⚠️ Important Notes RP is relative, not absolute - stocks can fall with high RP if the market falls harder Choose appropriate benchmarks for meaningful comparisons Best used in conjunction with price action and volume analysis Historical lookback period affects sensitivity (adjustable in settings) 🔧 Customization Fully customizable visual settings, thresholds, calculation periods, and smoothing options. Adjust the normalization lookback period (default 252 days) to fine-tune sensitivity to your trading timeframe. 📌 Credit Inspired by TrendSpider's Relative Performance implementation, adapted for TradingView with enhanced customization options and Pine Script v6 optimization. Tags to include: relativeperformance, relativestrength, percentile, ranking, sectorrotation, benchmark, outperformance, trendspider, marketbreadth, strengthindicator Category: Momentum Indicators / Trend Analysis Feel free to modify this description to match your style or add any specific points you want to emphasize!
Pine Script® indicator
by nippe678
BOS & ChoCh Market StructureBOS/ChoCh Market Structure Indicator This indicator identifies key market structure shifts using Break of Structure (BOS) and Change of Character (ChoCh) signals based on pivot point analysis. Concept Break of Structure (BOS) occurs when price breaks through a significant pivot level in the direction of the current trend, signaling trend continuation. A bullish BOS happens when price breaks above a pivot high while in an uptrend, while a bearish BOS occurs when price breaks below a pivot low during a downtrend. Change of Character (ChoCh) signals a potential trend reversal. It occurs when price breaks against the prevailing trend - breaking above a pivot high while in a downtrend, or breaking below a pivot low while in an uptrend. This indicates the market structure is shifting. How It Works The indicator automatically detects swing highs and lows using configurable pivot strength. When price breaks these levels, it plots: Color-coded labels (cyan for bullish breaks, red for bearish breaks) Small horizontal lines marking the exact breakout level Extended lines from pivot points showing key support/resistance levels Settings Pivot Strength - Number of candles on each side required to confirm a swing high/low (default: 5). Higher values identify more significant pivots but produce fewer signals. Breakout Confirmation - Choose whether breakouts require a candle close beyond the level ("Close") or just a wick touch ("Wick"). Show BOS / Show ChoCh - Toggle visibility of Break of Structure and Change of Character signals independently. Colors - Customize the colors for bullish (cyan) and bearish (red) signals. Perfect for swing traders and market structure analysis.
Pine Script® indicator
by Dinkelfras
Sector RSI (Auto-Select)This indicator measures the relative strength momentum of any stock against its most closely correlated sector ETF, using the Relative Strength Index (RSI). Auto sector selection: The script computes correlations between your symbol’s short-term returns and all major SPDR sector ETFs (XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV, XLY, XTN). The sector with the highest correlation is automatically chosen as the benchmark. Sector vs Symbol RSI: It calculates RSI (default 14-period) for both the chosen sector and the current chart’s symbol. Display modes: Line mode: Plots both RSIs with colored fill (red if the sector RSI is stronger, green if the symbol RSI is stronger). Histogram mode: Shows the difference between Sector RSI and Symbol RSI as a column chart. RSI bands: Standard 70/50/30 reference lines are available in line mode. Status line: The selected sector’s ticker is shown on the TradingView status line so you always know which sector is being used. Use Cases: Identify whether a stock’s momentum is driven by its sector or if it’s showing independent relative strength. Detect sector rotations: when the stock begins to outperform or underperform its sector on momentum basis. Combine with absolute RSI levels (overbought/oversold) to filter signals. Notes: This tool infers sector membership via rolling correlation, not from static classification metadata. This means in some cases (e.g. diversified companies or news shocks) the “best” sector may not be the official one, but the one most correlated in the current market regime. Use min positive correlation input to filter out weak matches and enforce a fallback (defaults to Technology XLK).
Pine Script® indicator
by MPR86
CNagda-MomentumX - Institutional FlowMomentumX is designed to empower traders with a deeper understanding of market movements by focusing on Institutional Flow and advanced market structure analytics. The core goal is to identify and visualize where major market participants are operating, and to translate these complex footprints into clear, actionable trading signals — all in real time. Real-time institutional activity mapping Actionable entry and exit signals based on live market structure Intuitive dashboard and dynamic chart visuals Fully customizable modules for trend, liquidity, and order blocks Core Logic Design At the heart of MomentumX lies a robust algorithmic engine built to capture and surface institutional trading behavior. By leveraging advanced mathematical models, the indicator calculates institutional volume ratios and price momentum to pinpoint aggressive moves from large participants. Institutional Volume & Price Momentum: Utilizes custom volume indicators and price change analysis to detect strong buying or selling pressure, filtering out retail noise. Liquidity Grab Detection & Activity Zones: The script identifies liquidity grabs by monitoring abrupt price sweeps at major support/resistance levels—often where institutions trigger stop hunts or reversals. All critical activity zones are automatically color-coded on the chart for instant recognition. Dashboard Visualization: A fully dynamic dashboard table overlays live scores for accumulation, distribution, strength, and weakness—giving traders a real-time scan of market health. Trendline & Order Block Architecture: The logic auto-detects pivot highs/lows to draw smart trendlines, while the order block system highlights key reversal areas and breaker zones—making market structure clear and actionable. MomentumX is packed with high-performance modules, each engineered to simplify complex market behavior and enhance decision-making for traders: Institutional Flow Signals: Instantly identifies spots where institutional players drive momentum, using unique volume and price activity analytics. Bullish/Bearish Liquidity Grab Detection: Marks abrupt price moves that signal stop hunts or reversals, letting traders anticipate snap-backs or trend shifts. Trendline Auto-Detection: Smartly draws trendlines based on significant swing highs and lows, automatically adjusting as price evolves. Order Block System (Rejection/Breaker): Spots and highlights key reversal zones with order block rectangles, confirming rejections or breakouts at strategic levels. Dashboard and Bar Coloring: A clean dashboard overlay presents live market scores, while dynamic bar coloring makes trend, strength, and high-activity periods instantly visible. User Input Toggles for Each Module: Every major feature is fully customizable—enable or disable modules to match individual trading setups or preferences. Scripting/Development MomentumX’s scripting process is modular, enabling clarity, scalability, and fast optimization throughout development: Initialization & Inputs: Start by defining all user input options, module toggles, color settings, and calculation parameters—ensuring maximum flexibility early on. Core Calculation Functions: Script advanced institutional volume and price momentum algorithms. Build out swing length logic, market state filters, and activity scoring methods. Detection Engines: Develop and integrate engines for liquidity grabs, automated trendline detection, and order block identification—each with dedicated functions for speed and precision. Visual Overlays & Plotting: Implement powerful plotting logic for colored bars, score dashboards, trendlines, reversal zones, and liquidity markers—making every data point clear and actionable on the chart. Testing Handlers: Add diagnostic panels and debug outputs to refine calculations and assure accuracy in every market environment. Sample Trade Setups (Usage) Cnagda MomentumX delivers clarity for multiple trading styles by providing timely, actionable setups grounded in institutional behavior and market structure. Here’s how traders can leverage the indicator for confident decision-making: Liquidity Grab Reversal Enter trades around detected liquidity grabs when price sweeps major support/resistance and the dashboard signals a momentum shift. Example: Wait for a bullish/Bearish grab near market lows/high, with institutional flow turning positive/negative—enter long/short for potential mean reversion. Order Block Breakout Trade breakouts when price cleanly rejects or flips key order block zones highlighted on the chart. Example: Short at a marked breaker block after a rejection signal, confirmed by a downward institutional activity spike. Trendline Continuation Ride established market moves by entering on trendline confirmations plotted by the auto-detect system. Example: Go long after a trendline retest, confirmed by a green bar color and dashboard strength score. Dashboard Confirmation Combine dashboard metrics (strength, accumulation, distribution) with bar color overlays for multi-factor entries. Example: Enter trades only when all market signals align in real time for maximum probability. For Short Entry check -- Weakness : For Long Entry Check - Strength With Other Indications MomentumX is not just another indicator – it’s your edge for reading the market like an insider. By transparently mapping institutional flow, uncovering hidden liquidity zones, and color-coding every major structure shift, MomentumX transforms complexity into actionable clarity. Whether you’re scalping, swing trading, or investing, you’ll gain a decisive, real-time advantage on every chart. Embrace smarter decisions, adapt to changing market conditions instantly, and join a new generation of technically empowered traders. Customize, observe, and let the market reveal opportunities in a way you’ve never experienced before. Happy Trading
Pine Script® indicator
by cnagda3
7
RSI Zone Heat map (20/40/60/80 Levels)This indicator enhances the classic RSI by highlighting key momentum zones with intuitive background colors. • Horizontal reference levels at 20, 40, 60, and 80. • Greenish hue when RSI oscillates between 40–80, signaling a healthier momentum zone. • Reddish hue when RSI oscillates between 20–60, warning of weaker momentum. • The overlap zone (40–60) dynamically shifts: green bias above 50, red bias below 50. This visualization makes it easier to spot when RSI is leaning toward strength or weakness at a glance. Use it as a complement to your trading strategy for clearer confirmation of potential overbought/oversold shifts and momentum transitions.
Pine Script® indicator
by joelmathew123456
3Bars [TheAlphaGroup]3Bars Setup (Original by. Larry Williams) The “3Bars” is a classic setup from Larry Williams, designed to capture short-term reversals within a larger trend. It uses very simple ingredients: moving averages of the highs and lows. How It Works Bands Calculation – A short moving average (default = 3) is applied separately to the Highs and to the Lows. – The average of the Lows forms the lower band . – The average of the Highs forms the upper band . Trade Logic – In an uptrend (price above a longer MA, default = 21 EMA or SMA), the system looks for longs.  • Entry: Buy at the lower band.  • Exit: Sell at the upper band. – In a downtrend (price below the 21 EMA/SMA), the system looks for shorts.  • Entry: Sell at the upper band.  • Exit: Cover at the lower band. Safety Net – If the trade doesn’t hit its band exit, it is force-closed after X bars (default = 7). – Users can select SMA or EMA for both the bands and the trend filter. – Direction can be toggled: Long only, Short only, or Both. Why It’s Interesting The method tries to ride the market “channel” between recent highs and lows. It doesn’t chase breakouts, it waits for price to pull back into a band before positioning. It’s rule-based and mechanical, which makes it easy to test and automate. Disclaimer This script is for educational and research purposes only . It is not financial advice and does not guarantee profitability. Always backtest on multiple markets and timeframes, and use proper risk management. About the Yellow Warning Box “Caution! This strategy may use look-ahead bias…” Note: The warning shows because Pine doesn’t “trust” limit orders that are priced with data from completed bars. The current version is already safe (no repaint/look-ahead) , but TradingView cannot automatically confirm that. To silence the warning, you’d need to shift all logic by one more bar ( ) or use market orders. But that sacrifices realism. If you care about accurate band-based fills more than the warning box, it is safe to ignore it.
Pine Script® strategy
by TheAlphaGroup
Pivot Points + VWAP + EMA200 + Fixed Range VP (POC)Indicator description — Pivot Points + VWAP + EMA200 + Fixed Range VP (POC) Short summary A composite TradingView indicator (Pine v6) that overlays classic pivot points, session/period VWAP with optional deviation bands, an EMA-200 trend filter, and a fixed-range volume profile with Value Area and Point Of Control (POC). Designed to give a single view of key horizontal levels (pivots, VWAP bands, POC) and trend context to speed intraday and swing trade decisions. Key features Multiple Pivot types & anchor periods — Traditional, Fibonacci, Woodie, Classic, DM, Camarilla; anchors from Auto/Daily up to multi-year. Option to calculate from daily values on intraday charts. Pivot drawing & labels — Draws historical pivot levels with configurable colors, line width, label position (Left/Right) and how many pivot periods to keep. Automatically trims older pivot sets beyond the configured limit. VWAP + deviation bands — VWAP anchored to Session / Week / Month / Quarter / Year (plus Earnings/Dividends/Splits). Optional bands by Standard Deviation or Percentage (up to 3 multipliers). Option to hide on daily/weekly/monthly (DWM) charts. EMA-200 trend filter — Plotted as a clear orange line; use to identify major trend bias. Fixed-range Volume Profile (VP) with POC — Builds a fixed lookback VP over bbars bars, shows up/down volume boxes, value area (percent configurable) and draws the POC line + optional POC label. VP is rendered as boxed histogram with configurable rows and colors. Performance/robustness safeguards — Handles multi-timeframe pivots, provides clear runtime errors when intraday data is insufficient for requested pivot timeframe, and caps the number of drawn objects to avoid overrun. Inputs & what they do (high level) Pivot Settings Type: pivot formula (Traditional, Fibonacci, etc.). Pivots Timeframe: Auto / Daily / Weekly / Monthly / ... multi-year. Number of Pivots Back: how many historical pivot periods to keep. Use Daily-based Values: when enabled, pivots always use daily OHLC (useful on intraday charts). Show Labels / Show Prices / Labels Position / Line Width — visual tweaks for pivot lines and labels. Pivot Levels / Colors — Toggle visibility and color for P, R1..R5, S1..S5 (levels shown depend on pivot type). VWAP Settings Hide VWAP on 1D or Above: hides VWAP on daily+ charts. Anchor Period: Session / Week / Month / Quarter / Year / Decade / Century / Earnings / Dividends / Splits. VWAP Source (default hlc3) and Offset. Bands Settings Bands Mode: Standard Deviation or Percentage. Multipliers: up to three bands (1×, 2×, 3× by default); toggle visible bands. Volume Profile (VP) VP Lookback Bars (bbars): number of bars included in fixed range. VP Rows (cnum): vertical resolution (number of price bins). Value Area %: e.g., 70%. POC Color / Width, Up/Down colors and Show POC Label. How to use it (practical tips) Trend filter: use EMA-200 — price above EMA200 = bullish bias, below = bearish bias. VWAP confluence: intraday trades near VWAP or VWAP bands often have higher confluence. Use the selected anchor (Session for intraday, Week/Month for swing). Pivot levels for targets & S/Ls: pivot levels (P, R1/R2, S1/S2…) make quick, rule-based targets and stops. Combine pivot + VWAP/POC for stronger S/R. Volume Profile & POC: POC = single price with highest traded volume in the range — acts as a magnet/support/resistance. Use value area (VA) boundaries to spot acceptance/rejection. Multi timeframe: choose pivot anchor appropriate to your horizon (Session/Daily for intraday scalps; Weekly/Monthly for swing). If you lack intraday history, enable “Use Daily-based Values” to avoid pivot errors. Performance note: the fixed-range VP is calculated only on the last bar (barstate.islast) and draws boxes/POC accordingly — the VP will represent the configured lookback ending at the latest bar. Limitations & gotchas Intraday pivot calculation needs sufficient history. If you request intraday pivots but the chart lacks enough bars, the script throws a runtime error with guidance. VP is built only on the last bar (to keep resource usage reasonable). That means the VP boxes and POC are recalculated for the latest lookback window; historical VP boxes are removed each update. Object count: indicator creates many graphical objects (lines, labels, boxes). The script includes caps and cleanup, but very long backtests or extremely small pivot intervals may still use many objects — adjust “Number of Pivots Back” and VP lookback to manage. Repainting considerations: pivots use request.security(..., lookahead=barmerge.lookahead_on) for daily-based option and time synchronization; be mindful when using historical bar-by-bar automation or backtesting — visual levels are intended for analysis and manual decision-making rather than automated entry triggers without further validation. Compatibility & installation Pine Script version: v6. Use on TradingView. Add to chart: Copy the whole script into TradingView’s Pine editor, save and add to chart. Ensure sufficient chart history for selected pivot/VP settings. Suggested default workflow (example) Set Pivot Anchor = Session, Type = Traditional, Use Daily-based Values = off for true intraday pivots. VWAP Anchor = Session, show Band #1 at 1× for quick mean-reversion zones. EMA-200 visible (default) to filter trade direction. VP Lookback Bars ~ 150, Value Area 70% to see a 150-bar market profile and POC. Trade entries: look for price reaction (rejection / engulfing / volume spike) at pivot/R1/VWAP/POC aligned with EMA-200 trend. Short blurb (for scripts list / marketplace) Pivot Points + VWAP + EMA200 + Fixed Range VP (POC) — a compact, all-in-one overlay that combines classic pivot levels, session-anchored VWAP with deviation bands, a 200-period EMA trend filter, and a fixed-range volume profile with Value Area and POC. Built for intraday and swing traders who want consolidated horizontal structure and volume context on one chart.
Pine Script® indicator
by firojrahabuddin123
Combined SMA with Murrey Math and Fixed Fractal Bands "Combined SMA with Murrey Math and Fixed Fractal Bands" , overlaying a Simple Moving Average (SMA), Murrey Math (MM) bands, and fixed fractal bands on a price chart. Here's a brief description of its functionality:Inputs:SMA Length: Configurable period for the SMA (default: 180 bars). Resolution: Optional custom timeframe for data. Frame Size for MM: Lookback period for Murrey Math calculations (default: 180 bars, adjustable via multiplier). Ignore Wicks: Option to use open/close prices instead of high/low for MM calculations. Fixed Fractal Size: Fixed distance in points for fractal bands (default: 1.22). Shade 3/8-5/8 Overlap: Option to highlight overlapping regions between SMA-centered and absolute MM bands. Data Source:Uses open, close, high, and low prices from the specified ticker and timeframe. Optionally ignores wicks (high/low) for MM calculations, using max/min of open/close instead. SMA Calculation:Computes a Simple Moving Average (SMA) based on the closing price and user-defined length. Murrey Math Bands:Absolute MM Bands: Calculated using a dynamic range based on the highest/lowest prices over a lookback period, scaled logarithmically to create 13 levels (from -3/8 to +3/8, with 8/8 as the midpoint). These adapt to price action. SMA-Centered MM Bands: Constructs MM bands relative to the SMA, with levels (0/8 to 8/8) spaced by a calculated increment derived from the absolute MM range. Colors bands dynamically (green for bullish, red for bearish, gray for neutral) based on changes in the 4/8 level or increment, with labels indicating "Higher," "Lower," or "Same" states. Fixed Fractal Bands:Plots six fixed-distance bands (±1, ±2, ±3) around the SMA, using a user-defined point value (default: 1.22). Overlaps and Shading:Detects overlaps between SMA-centered and absolute MM bands at key levels (7/8-8/8, 0/8-1/8, and optionally 3/8-5/8). Shades overlapping regions with distinct colors (red for 7/8-8/8, green for 0/8-1/8, blue for 3/8-5/8). Fills specific SMA-centered MM regions (3/8-5/8, 0/8-1/8, 7/8-8/8) for visual emphasis. Visualization:Plots SMA-centered MM bands, absolute MM bands, and fixed fractal bands as stepped lines with varying colors and transparency. Displays a table at the bottom-right showing the current MM increment value. Adds labels when the 4/8 level or increment changes, indicating trend direction. In summary, this indicator combines a user-defined SMA with Murrey Math bands (both absolute and SMA-centered) and fixed fractal bands to provide a multi-level support/resistance framework. It highlights dynamic price levels, trend direction, and key overlaps, aiding traders in identifying potential reversal or consolidation zones.
Pine Script® indicator
by surfchaser
Hurst‑Millard FLD Normalized 2.0 – Signals "Hurst-Millard FLD Normalized 2.0 – Signals" indicator. It analyzes price data using a combination of moving averages (MAs) and the Hurst exponent to decompose price movements into trend, swing, and noise components, generating buy and sell signals. Here's a brief overview of its functionality:Inputs and Modes:Offers Auto Mode (cycle-based) and Manual Mode for configuring three moving averages: Long-Term (LT), Mid-Term (MT), and Short-Term (ST). Auto Mode calculates MA lengths and offsets based on user-defined target cycle lengths (e.g., LT: 400 bars, MT: 100 bars, ST: 25 bars) with predefined offset ratios (0.2, 0.333, 0.5 respectively). Manual Mode allows direct input of MA lengths and offsets. Moving Averages:Computes Simple Moving Averages (SMAs) for LT, MT, and ST based on the closing price. Applies forward-shifting to simulate future price behavior (e.g., maLongFwd shifts the LT MA by the specified offset). Decomposition:Trend: Derived from the forward-shifted LT MA (maLongFwd). Swing: Calculated as the difference between MT and LT MAs, scaled as a percentage of the closing price and amplified (using ATR or a manual factor). Noise: Calculated as the difference between ST and MT MAs, similarly scaled and amplified. Hurst Exponent:Estimates the Hurst exponent to measure the persistence or mean-reversion of the noise component. Uses a 50-bar lookback period, smoothed with a 5-period SMA. Signal Generation:Generates buy signals when the noise component is less than the swing component and their difference is within a user-defined proximity threshold (default: 25% of swing). Generates sell signals when noise exceeds swing within the same threshold. Signals are plotted as diamond shapes at the calculated proximity price level. Visualization:Plots the trend, swing, and noise components as lines with customizable colors and gradient intensity based on their relative strength. Optional debugging plots for raw forward-shifted MAs and proximity thresholds. Displays a periodic debug table (every 100 bars) showing key metrics like close price, MAs, trend, swing, noise, Hurst exponent, and more. Additional Features:Supports ATR-based amplification for scaling swing and noise. Allows customization of signal colors, diamond offsets, and proximity thresholds. Includes debugging options to visualize raw MAs and proximity bands. In summary, this indicator uses cycle-based or manually configured MAs to break down price action into trend, swing, and noise, calculates the Hurst exponent for noise analysis, and generates buy/sell signals based on the relationship between swing and noise within a proximity threshold. It’s designed for traders to identify potential trend reversals or continuations.
Pine Script® indicator
by surfchaser
Regression Channel (ShareScope-style, parallel)What it does Replicates ShareScope’s Trend of displayed data look: a single straight linear-regression line (dashed) across a chosen window with parallel, constant-width bands above and below, plus optional shading. Use it to see the overall trend gradient for a period and a statistically sized channel based on the fit’s residual error. How it works (math, short) Computes an OLS regression once over the analysis window. Residual standard error s is derived from SSE and degrees of freedom (n−2). Band half-width is constant across the window: Mean CI (narrower): half = z * s / √n Prediction (wider): half = z * s * √(1 + 1/n) Three straight, parallel lines are drawn from the regression endpoints; midline is dashed. This is intentionally not a tapered CI (which widens at the ends). It matches the visual behaviour of ShareScope’s shaded trend line channel. Inputs Source – Price series (Close, High, Low, HL2, etc.). Use last N bars / N (bars) – Rolling window length. From / To (date mode) – Alternative fixed date window. Confidence (%) – 90 / 95 / 99 / Custom (uses z≈t). Custom Z (t) – Override the quantile if desired. Prediction bands – Use wider prediction envelope instead of mean CI. Shade region + colors / opacity / line width. Usage To mimic ShareScope exactly, pick the same date span (use date mode) and set Confidence 99%. Choose Prediction OFF for a tighter “confidence” look; ON for a wider, more permissive channel. If ShareScope used High as source, set Source = High here as well. Notes & limitations TradingView does not expose the visible viewport to Pine. The script cannot auto-read “displayed data.” Use last N bars or date range. Bands are parallel by design. Prices may close outside; the channel does not bend. Window capped at 5,000 bars for performance. No alerts are emitted. Differences vs TV’s native tools Linear Regression (drawing) – manual object; no statistical sizing or shading. Linear Regression Channel (indicator) – uses price standard deviations around the regression; width is a user stdev multiple. This script – uses residual error of the OLS fit and a z/t quantile to size a statistically meaningful parallel channel. Changelog r3.1 – Guard fix (no return at top level), minor refactor, stable line updates. r3 – Switched to single-fit OLS with parallel constant-width bands (ShareScope look). (Earlier experimental builds r1–r2.2 implemented rolling/tapered CI; superseded.) Disclaimer: Educational use only. Not investment advice.
Pine Script® indicator
by paulgill28
Signal Core Basic [NevoxCore]⯁ OVERVIEW Signal Core Basic is a clean and functional ATR-based trailing stop with BUY/SELL signals. It modernizes the classic "UT-style" concept with adaptive sensitivity, multi-source inputs (Close, Heikin-Ashi, ZLEMA, KAMA), and compact visuals. The tool is designed for traders who want a clear, minimal, and reliable base indicator without repainting issues. ⯁ HOW IT WORKS Calculates an ATR-based trailing stop (nLoss = Key × ATR). Adaptive mode scales sensitivity depending on trend strength (trend/range detection). Trailing stop flips when price crosses from one regime to the other. BUY/SELL signals trigger only when confirmed and not blocked by cooldown. Label ring-buffer ensures chart stays clean (max 50 labels). Bar coloring optional (solid), auto-disabled when classic red/green colors are enabled. ⯁ KEY FEATURES ATR-based trailing stop with adjustable sensitivity. Adaptive key (trend/range aware). Multiple compute sources: Close, Heikin-Ashi, ZLEMA, KAMA. Global confirm-on-close switch (no repaint). Early-flip protection (cooldown). Compact BUY/SELL labels with auto-cleanup (max 50). Optional solid bar coloring. Alerts with ticker, timeframe, and price included. ⯁ SETTINGS (quick overview) Visual: Classic Colors, Show Labels, Plot Trailing Stop, Barcolor ON/OFF. Source & Sensitivity: Key Value, ATR Length, Compute Source. Advanced: Adaptive Key toggle with min/max bounds. Global: Confirm on bar close. Extras: Cooldown protection (bars). ⯁ ALERTS (built-in) Basic Long: BUY signal. Basic Short: SELL signal. Each alert includes {{ticker}} {{interval}} @ {{close}}. ⯁ HOW TO USE Use as a trailing stop and regime filter. Combine BUY/SELL signals with your strategy rules. Enable cooldown for cleaner signals in choppy markets. Try ZLEMA or Heikin-Ashi as compute source for smoother performance. ⯁ WHY IT’S DIFFERENT Unlike generic UT-style scripts, Signal Core Basic adds adaptive sensitivity, multiple input sources, and strict non-repaint safety. The visuals follow NevoxCore’s design standards: compact, minimal, and clean — ready for live trading with alerts. ⯁ DISCLAIMER Backtest and paper-trade before using live. Not financial advice. Performance depends on market, timeframe, and parameters.
Pine Script® indicator
by NevoxCore
Z-Score Regression Bands [BOSWaves]Z-Score Regression Bands – Adaptive Trend and Volatility Insight Overview The Z-Score Regression Bands is a trend and volatility analysis framework designed to give traders a clear, structured view of price behavior. It combines Least Squares Moving Average (LSMA) regression, a statistical method to detect underlying trends, with Z-Score standardization, which measures how far price deviates from its recent average. Traditional moving average bands, like Bollinger Bands, often lag behind trends or generate false signals in noisy markets. Z-Score Regression Bands addresses these limitations by: Tracking trends accurately using LSMA regression Normalizing deviations with Z-Scores to identify statistically significant price extremes Visualizing multiple bands for normal, strong, and extreme moves Highlighting trend shifts using diamond markers based on Z-Score crossings This multi-layered approach allows traders to understand trend strength, detect overextensions, and identify periods of low or high volatility — all from a single, clear chart overlay. It is designed for traders of all levels and can be applied across scalping, day trading, swing trading, and longer-term strategies. Theoretical Foundation The Z-Score Regression Bands are grounded in statistical and trend analysis principles. Here’s the idea in plain terms: Least Squares Moving Average (LSMA) – Unlike standard moving averages, LSMA fits a straight line to recent price data using regression. This “best-fit” line shows the underlying trend more precisely and reduces lag, helping traders see trend changes earlier. Z-Score Standardization – A Z-Score expresses how far the LSMA is from its recent mean in standard deviation units. This shows whether price is unusually high or low, which can indicate potential reversals, pullbacks, or acceleration of a trend. Multi-Band Structure – The three bands represent: Band #1: Normal range of price fluctuations; Band #2: Significant deviation from the trend; Band #3: Extreme price levels that are statistically rare. The distance between bands dynamically adapts to market volatility, allowing traders to visualize expansions (higher volatility) and contractions (lower volatility). Trend Signals – When Z-Score crosses zero, diamonds appear on the chart. These markers signal potential trend initiation, continuation, or reversal, offering a simple alert for shifts in market momentum. How It Works The indicator calculates and plots several layers of information: LSMA Regression (Trend Detection) Computes a line that best fits recent price points. The LSMA line smooths out minor fluctuations while reflecting the general direction of the market. Z-Score Calculation (Deviation Measurement) Standardizes the LSMA relative to its recent average. Positive Z-Score → LSMA above average, negative → LSMA below average. Helps identify overbought or oversold conditions relative to the trend. Multi-Band Construction (Volatility Envelope) Upper and lower bands are placed at configurable multiples of standard deviation. Band #1 captures typical price movement, Band #2 signals stronger deviation, Band #3 highlights extreme moves. Bands expand and contract with volatility, giving an intuitive visual guide to market conditions. Trend Signals (Diamonds) Appear when Z-Score crosses zero. Indicates moments when momentum may shift, helping traders time entries or exits. Visual Interpretation Band width = volatility: wide bands indicate strong movement; narrow bands indicate calm periods. LSMA shows underlying trend direction, while bands show how far price has strayed from that trend. Interpretation The Z-Score Regression Bands provide a multi-dimensional view of market behavior: Trend Analysis – LSMA line slope shows general market direction. Momentum & Volatility – Z-Score indicates whether the trend is accelerating or losing strength; band width indicates volatility levels. Price Extremes – Price touching Band #2 or #3 may suggest overextension and potential reversals. Trend Shifts – Diamonds signal statistically significant changes in momentum. Cycle Awareness – Standard deviation bands help distinguish normal market fluctuations from extreme events. By combining these insights, traders can avoid false signals and react to meaningful structural shifts in the market. Strategy Integration Trend Following Enter trades when diamonds indicate momentum aligns with LSMA direction. Use Band #1 and #2 for stop placement and partial exits. Breakout Trading Watch for narrow bands (low volatility) followed by price pushing outside Band #1 or #2. Confirm with Z-Score movement in the breakout direction. Mean Reversion/Pullback If price reaches Band #2 or #3 without continuation, expect a pullback toward LSMA. Exhaustion & Reversals Flattening Z-Score near zero while price remains at extreme bands signals trend weakening. Tighten stops or scale out before a potential reversal. Multi-Timeframe Confirmation High timeframe LSMA confirms the main trend. Lower timeframe bands provide refined entry and exit points. Technical Implementation LSMA Regression : Best-fit line minimizes lag and captures trend slope. Z-Score Standardization : Normalizes deviation to allow consistent interpretation across markets. Multi-Band Envelope : Three layers for normal, strong, and extreme deviations. Trend Signals : Automatic diamonds for Z-Score zero-crossings. Band Fill Options : Optional shading to visualize volatility expansions and contractions. Optimal Application Asset Classes: Forex : Capture breakouts, overextensions, and trend shifts. Crypto : High-volatility adaptation with adjustable band multipliers. Stocks/ETFs : Identify trending sectors, reversals, and pullbacks. Indices/Futures : Track cycles and structural trends. Timeframes: Scalping (1–5 min) : Focus on Band #1 and trend signals for fast entries. Intraday (15m–1h) : Use Bands #1–2 for continuation and breakout trades. Swing (4h–Daily) : Bands #2–3 capture trend momentum and exhaustion. Position (Daily–Weekly) : LSMA trend dominates; Bands #3 highlight regime extremes. Performance Characteristics Strong Performance: Trending markets with moderate-to-high volatility Assets with steady liquidity and identifiable cycles Weak Performance: Flat or highly choppy markets Very short timeframes (<1 min) dominated by noise Integration Tips Combine with support/resistance, volume, or order flow analysis for confirmation. Use bands for stops, targets, or scaling positions. Apply multi-timeframe analysis: higher timeframe LSMA confirms main trend, lower timeframe bands refine entries. Disclaimer The Z-Score Regression Bands is a trading analysis tool, not a guaranteed profit system. Its effectiveness depends on market conditions, parameter selection, and disciplined risk management. Use it as part of a broader trading strategy, not in isolation.
Pine Script® indicator
by BOSWaves
2
Volume Percentile Supertrend [BackQuant]Volume Percentile Supertrend A volatility and participation aware Supertrend that automatically widens or tightens its bands based on where current volume sits inside its recent distribution. The goal is simple: fewer whipsaws when activity surges, faster reaction when the tape is quiet. What it does Calculates a standard Supertrend framework from an ATR on a volume weighted price source. Measures current volume against its recent percentile and converts that context into a dynamic ATR multiplier. Widens bands when volume is unusually high to reduce chop. Tightens bands when volume is unusually low to catch turns earlier. Paints candles, draws the active Supertrend line and optional bands, and prints clear Long and Short signal markers. Why volume percentile Fixed ATR multipliers assume all bars are equal. They are not. When participation spikes, price swings expand and a static band gets sliced. Percentiles place the current bar inside a recent distribution. If volume is in the top slice, the Supertrend allows more room. If volume is in the bottom slice, it expects smaller noise and tightens. This keeps the same playbook usable across busy sessions and sleepy ones without constant manual retuning. How it works Volume distribution - A rolling window computes the Pth percentile of volume. Above that is flagged as high volume. A lower reference percentile marks quiet bars. Dynamic multiplier - Start from a Base Multiplier. If bar is high volume, scale it up by a function of volume-to-average and a Sensitivity knob. If bar is low volume, scale it down. Smooth the result with an EMA to avoid jitter. VWMA source - The price input for bands is a short volume weighted moving average of close. Heavy prints matter more. ATR envelope - Compute ATR on your length. UpperBasic = VWMA + Multiplier x ATR. LowerBasic = VWMA - Multiplier x ATR. Trailing logic - The final lines trail price so they only move in a direction that preserves Supertrend behavior. This prevents sudden flips from transient pokes. Direction and signals - Direction flips when price crosses through the relevant trailing line. SupertrendLong and SupertrendShort mark those flips. The plotted Supertrend is the active trailing side. Inputs and what they change Volume Lookback - Window for percentile and average. Larger window = stabler percentile, smaller = snappier. Volume Percentile Level - Threshold that defines high volume. Example 70 means top 30 percent of recent bars are treated as high activity. Volume Sensitivity - Gain from volume ratio to the dynamic multiplier. Higher = bands expand more when volume spikes. VWMA Source Length - Smoothing of the volume weighted price source for the bands. ATR Length - Standard ATR window. Larger = slower, smaller = quicker. Base Multiplier - Core band width before volume adjustment. Think of this as your neutral volatility setting. Multiplier Smoothing - EMA on the dynamic multiplier. Reduces back and forth changes when volume oscillates around the threshold. Show Supertrend on chart - Toggles the active line. Show Upper Lower Bands - Draws both sides even when inactive. Good for context. Paint candles according to Trend - Colors bars by trend direction. Show Long and Short Signals - Prints 𝕃 and 𝕊 markers at flips. Colors - Choose your long and short palette. Reading the plot Supertrend line - Thick line that hugs price from above in downtrends and from below in uptrends. Its distance breathes with volume. Bands - Optional upper and lower rails. Useful to see the inactive side and judge how wide the envelope is right now. Signals - 𝕃 prints when the trend flips long. 𝕊 prints when the trend flips short. Candle colors - Quick bias read at a glance when painting is enabled. Typical workflows Trend following - Use 𝕃 flips to initiate longs and ride while bars remain colored long and price respects the lower trailing line. Mirror for shorts with 𝕊 and the upper trailing line. During high volume phases the line will give more room, which helps stay in the move. Pullback adds - In an established trend, shallow tags toward the active line after a high volume expansion can be add points. The dynamic envelope adjusts to the session so your add distance is not fixed to a stale volatility regime. Mean reversion filter - In quiet tape the multiplier contracts and flips come earlier. If you prefer fading, watch for quick toggles around the bands when volume percentile remains low. In high volume, avoid fading into the widened line unless you have other strong reasons. Notes on behavior High volume bar: the percentile gate opens, volRatio > 1 powers up the multiplier through the Sensitivity lever, bands widen, fewer false flips. Low volume bar: multiplier contracts, bands tighten, flips can happen earlier which is useful when you want to catch regime changes in quiet conditions. Smoothing matters: both the price source (VWMA) and the multiplier are smoothed to keep structure readable while still adapting. Quick checklist If you see frequent chop and today feels busy: check that volume is above your percentile. Wider bands are expected. Consider letting the trend prove itself against the expanded line before acting. If everything feels slow and you want earlier entries: percentile likely marks low volume, so bands tighten and 𝕃 or 𝕊 can appear sooner. If you want more or fewer flips overall: adjust Base Multiplier first. If you want more reaction specifically tied to volume surges: raise Volume Sensitivity. If the envelope breathes too fast: raise Multiplier Smoothing. What the signals mean SupertrendLong - Direction changed from non-long to long. 𝕃 marker prints. The active line switches to support below price. SupertrendShort - Direction changed from non-short to short. 𝕊 marker prints. The active line switches to resistance above price. Trend color - Bars painted long or short help validate context for entries and management. Summary Volume Percentile Supertrend adapts the classic Supertrend to the day you are trading. Volume percentile sets the mood, sensitivity translates it into dynamic band width, and smoothing keeps it clean. The result is a single plot that aims to stay conservative when the tape is loud and act decisively when it is quiet, without you having to constantly retune settings.
Pine Script® indicator
by BackQuant
Pivot Trend Flow [BigBeluga]🔵 OVERVIEW Pivot Trend Flow turns raw swing points into a clean, adaptive trend band. It averages recent pivot highs and lows to form two dynamic reference levels; when price crosses above the averaged highs, trend flips bullish and a green band is drawn; when it crosses below the averaged lows, trend flips bearish and a red band is drawn. During an uptrend the script highlights breakouts of previous pivot highs with ▲ labels, and during a downtrend it flags breakdowns of previous pivot lows with ▼ labels—making structure shifts and continuation signals obvious. 🔵 CONCEPTS Pivot-Based Averages : Recent pivot highs/lows are collected and averaged to create smoothed upper/lower reference levels. if not na(ph) phArray.push(ph) if not na(pl) plArray.push(pl) if phArray.size() > avgWindow upper := phArray.avg() phArray.shift() if plArray.size() > avgWindow lower := plArray.avg() plArray.shift() Trend State via Crosses : Close above the averaged-highs ⇒ bullish trend; close below the averaged-lows ⇒ bearish trend. Trend Band : A colored band (green/red) is plotted and optionally filled to visualize the active regime around price. Structure Triggers : In bull mode the tool watches for prior pivot-high breakouts (▲). In bear mode it watches for prior pivot-low breakdowns (▼). 🔵 FEATURES Adaptive Trend Detection from averaged pivot highs/lows. Clear Visuals : Green band in uptrends, red band in downtrends; optional fill for quick read. Breakout/Breakdown Labels : ▲ marks breaks of previous pivot highs in uptrends ▼ marks breaks of previous pivot lows in downtrends Minimal Clutter : Uses compact lines and labels that extend only on confirmation. Customizable Colors & Fill for trend states and band styling. 🔵 HOW TO USE Pivot Length : Sets how swing points are detected. Smaller = more reactive; larger = smoother. Avg Window (pivots) : How many recent pivot highs/lows are averaged. Increase to stabilize the band; decrease for agility. Read the Band : Green band active ⇒ prioritize longs, pullback buys toward the band. Red band active ⇒ prioritize shorts, pullback sells toward the band. Trade the Triggers : In bull mode, ▲ on a prior pivot-high break can confirm continuation. In bear mode, ▼ on a prior pivot-low break can confirm continuation. Combine with Context : Use HTF trend, S/R, or volume for confluence and to filter signals. Fill Color Toggle : Enable/disable band fill to match your chart style. 🔵 CONCLUSION Pivot Trend Flow converts swing structure into an actionable, low-lag trend framework. By blending averaged pivots with clean breakout/breakdown labels, it clarifies trend direction, timing, and continuation spots—ideal as a core bias tool or a confirmation layer in any trading system.
Pine Script® indicator
by BigBeluga
5
RXTrend█ OVERVIEW The "RXTrend" indicator is a technical analysis tool based on a unique approach to trend identification using RSI values from overbought and oversold zones. Designed for traders seeking a precise tool to identify key market levels and trend direction, the indicator offers flexible settings, dynamic trend lines, candlestick coloring, and buy/sell signals, supported by alerts for key events. █ CONCEPTS "RXTrend" leverages the Relative Strength Index (RSI) to identify overbought and oversold zones, which are often significant areas on the chart due to potentially higher volume, increased volatility, or acting as pivot points. To address this, I created an indicator that uses RSI values from these zones, mapping them to price levels to determine the trend. Additionally, for a clearer market picture, boxes are added to highlight overbought and oversold zones on the chart, and candlestick coloring is based on the direction of the RSI moving average. This provides further confirmation of the trend direction and identifies potential correction or reversal points. The indicator is universal and works across all markets (stocks, forex, cryptocurrencies) and timeframes. █ FEATURES - RSI Calculation: Calculates RSI based on the closing price over a specified period, with a default length of 14. - Trend Line: A smoothed trend line based on mapping RSI values from overbought (for downtrends) or oversold (for uptrends) zones to price levels. RSI values are transformed into prices using the price range from a selected period (default: 50 bars) and then smoothed to form the trend line. The line changes color based on the trend direction (blue for uptrend, orange for downtrend). - Candlestick Coloring: Option to color candles based on the direction of the RSI moving average (RSI MA). Candle colors align with the trend and box colors (blue for uptrend, orange for downtrend, gray for neutral). - Overbought and Oversold Zones: Identifies overbought (RSI > OB) and oversold (RSI < OS) levels, drawing dynamic boxes on the price chart to reflect these zones. Boxes update in real-time, adjusting to new highs and lows. - Buy and Sell Signals: Generates buy signals (blue "Buy" labels) when the price crosses above the smoothed oversold line and sell signals (orange "Sell" labels) when the price crosses below the smoothed overbought line. - Shadow Fill: Option to fill the space between the trend line and price (HL2) with adjustable transparency, aiding visual trend assessment. Alerts: Built-in alerts for: - Buy and sell signals. - Appearance of new overbought/oversold boxes. - RSI MA direction change (candle color change to uptrend or downtrend). Customization: Allows adjustment of RSI length, overbought/oversold levels, smoothing period, colors, box and label transparency, and the option to keep boxes after RSI returns to normal. █ HOW TO USE Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configure Settings: RSI Settings: - RSI Length: Sets the RSI calculation period (default: 14). - Overbought Level (OB): Sets the overbought threshold (default: 70). - Oversold Level (OS): Sets the oversold threshold (default: 30). Price Settings: - Price Range Lookback: Defines the period for calculating the price range (default: 50). Candle Coloring: - Color Candles: Enables/disables candle coloring based on RSI MA direction. - RSI MA Length: Sets the RSI moving average period (default: 21). Smoothing Settings: - Smoothing Length: Degree of trend line smoothing (default: 5). Colors: - Trend Colors: Customize colors for uptrend (default: blue), downtrend (default: orange), and shadow fill. Box Settings: - Box Transparency: Adjusts box transparency (0-100). - Box Colors: Sets colors for overbought (orange) and oversold (blue) zones. - Keep Boxes: Determines if boxes remain after RSI returns to normal. Signals: - Show Buy/Sell Signals: Enables/disables signal label display. - Label Transparency: Adjusts signal label transparency. Interpreting Signals: - Trend Line: Shows market direction (blue for uptrend, orange for downtrend). - Buy Signals: Blue "Buy" label appears when the price crosses above the smoothed oversold line, signaling a potential uptrend. - Sell Signals: Orange "Sell" label appears when the price crosses below the smoothed overbought line, signaling a potential downtrend. - Overbought/Oversold Boxes: Orange boxes indicate overbought zones (RSI > OB), blue boxes indicate oversold zones (RSI < OS). Boxes expand dynamically in real-time. - Candlestick Coloring: Candle colors align with the trend and box colors, reflecting RSI MA direction. - Alerts: Set up alerts in TradingView for buy/sell signals, new overbought/oversold boxes, or RSI MA direction changes. - Combining with Other Tools: Use the indicator alongside support/resistance levels, Fair Value Gaps (FVG), or other indicators to confirm signals. █ APPLICATIONS The "RXTrend" indicator is designed to identify key market zones and trend direction, making it useful for trend-following and reversal strategies. It enables: - Trend Confirmation: Candlestick coloring and the trend line help assess the dominant market direction, supporting entry or exit decisions. The trend line can act as a significant support/resistance level, and a price bounce from it may provide a good entry point, especially when confirmed by Fibonacci levels. Additionally, the appearance of overbought/oversold boxes combined with a change in candle color (RSI MA direction) may indicate an impending correction. This allows analysis of potential market overextension and correction endings, enabling multiple entries within a trend. - Overbought and Oversold Zone Identification: Boxes highlight potential reversal or correction points, especially when combined with support/resistance levels or FVG. - Signal-Based Strategies: Buy and sell signals can be used as entry points in a trend or as warnings of potential reversals. █ NOTES - The indicator is universal and works across all markets and timeframes due to its RSI-based and price-mapping logic. - Adjust settings (e.g., RSI length, OB/OS levels, smoothing) to suit your trading style and timeframe. - Use in conjunction with other technical analysis tools to enhance signal accuracy.
Pine Script® indicator
by Uncle_the_shooter
Advanced Market Structure [OmegaTools]📌 Market Structure Advanced Market Structure is a next–generation indicator designed to decode price structure in real time by combining classical swing–based analysis with modern quantitative confirmation techniques. Built for traders who demand both precision and adaptability, it provides a robust multi–layered framework to identify structural shifts, trend continuations, and potential reversals across any asset class or timeframe. Unlike traditional structure indicators that rely solely on visual swing identification, Market Structure introduces an integrated methodology: pivot detection, Donchian trend modeling, statistical confirmation via Z–Score, and volume–based validation. Each element contributes to a comprehensive, systematic representation of the underlying market dynamics. 🔑 Core Features 1. Five Distinct Market Structure Modes Standard Mode: Captures structural breaks through classical swing high/low pivots. Ideal for discretionary traders looking for clarity in directional bias. Confirmed Breakout Mode: Requires validation beyond the initial pivot break, filtering out noise and reducing false positives. Donchian Trend HL (High/Low): Establishes structure based on absolute highs and lows over rolling lookback windows. This approach highlights broader momentum shifts and trend–defining extremes. Donchian Trend CC (Close/Close): Similar to HL mode, but calculated using closing prices, enabling more precise bias identification where close–to–close structure carries stronger statistical weight. Average Mode: A composite methodology that synthesizes the four models into a weighted signal, producing a balanced structural bias designed to minimize model–specific weaknesses. 2. Dynamic Pivot Recognition with Auto–Updating Levels Swing highs and lows are automatically detected and plotted with adaptive horizontal levels. These dynamic support/resistance markers continuously extend into the future, ensuring that historically significant levels remain visible and actionable. 3. Color–Adaptive Candlesticks Price bars are dynamically recolored to reflect the prevailing structural regime: bullish (default blue), bearish (default red), or neutral (gray). This enables instant visual recognition of regime changes without requiring external confirmation. 4. Statistical Reversal Triggers The script integrates a 21–period Z–Score calculation applied to closing prices, combined with multi–layered volume confirmation (SMA and EMA convergence). Bullish trigger: Z–Score < –2 with structural confirmation and volume support. Bearish trigger: Z–Score > +2 with structural confirmation and volume support. Signals are plotted as diamond markers above or below the bars, identifying potential high–probability reversal setups in real time. 5. Integrated Alpha Backtesting Engine Each market structure mode is evaluated through a built–in backtesting routine, tracking hit ratios and consistency across the most recent ~2000 structural events. Performance metrics (“Alpha”) are displayed directly on–chart via a dedicated Performance Dashboard Table, allowing side–by–side comparison of Standard, Confirmed Breakout, Donchian HL, Donchian CC, and Average models. Traders can instantly evaluate which structural methodology best adapts to the current market conditions. 🎯 Practical Advantages Systematic Clarity: Eliminates subjectivity in defining structural bias, offering a rules–based framework. Statistical Transparency: Built–in performance metrics validate each mode in real time, allowing informed decision–making. Noise Reduction: Confirmed Breakouts and Donchian modes filter out common traps in structural trading. Multi–Asset Adaptability: Optimized for scalping, intraday, swing, and multi–day strategies across FX, equities, futures, commodities, and crypto. Complementary Usage: Works as a stand–alone structure identifier or as a quantitative filter in larger algorithmic/trading frameworks. ⚙️ Ideal Users Discretionary traders seeking an objective reference for structural bias. Quantitative/systematic traders requiring on–chart statistical validation of structural regimes. Technical analysts leveraging pivots, Donchian channels, and price action as part of broader frameworks. Portfolio traders integrating structure into multi–factor models. 💡 Why This Tool? Market Structure is not a static indicator — it is an adaptive framework. By merging classical pivot theory with Donchian–style momentum analysis, and reinforcing both with statistical backtesting and volume confirmation, it provides traders with a unique ability: To see the structure, To measure its reliability, And to act with confidence on quantifiably validated signals.
Pine Script® indicator
by OmegaTools
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