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Momentum Indicator (MOM)

RSI with 2-Pole FilterA momentum indicator that tells you if a stock is overbought or oversold. RSI goes between 0 and 100. 70 = overbought (might fall) <30 = oversold (might rise) It often looks jagged or choppy on volatile days. Think of this filter like a momentum smoother: It still follows RSI closely, But it doesn’t react to every little jiggle in price, Which helps avoid false signals. it keeps track of: The current RSI, The last 2 RSI values (inputs), and The last 2 outputs (filtered RSIs). It uses feedback to shape the output based on previous values, making it smoother than a simple moving average.
Pine Script® indicator
by scrittyrow
2
Spread AnalysisSpread Analysis - Futures vs Spot Price Analysis Advanced spread analysis tool that compares futures/perp prices with spot prices across multiple exchanges, providing insights into market sentiment and potential trading opportunities. Multi-Asset Support: Automatically detects and analyzes crypto perpetual vs spot spreads, index futures vs cash indices (ES/SPX, NQ/NDX, YM/DJI), and commodity futures vs spot prices (GC/GOLD, CL/USOIL) Multi-Exchange Aggregation: For crypto, aggregates prices from Binance, BitMEX, Kraken, Bybit, OKX, and Coinbase to calculate mean perp and spot prices Z-Score Based Alerts: Uses statistical Z-score analysis to identify extreme spread conditions that may signal potential reversals or continuation patterns Visual Histogram Display: Shows spread differences as colored columns - green for futures premium, red for futures discount Flexible Calculation Methods: Supports absolute price differences, percentage spreads, or basis point calculations Trading Applications: Identify market sentiment divergence, spot potential reversal opportunities, and confirm trend strength Risk Management: Use extreme Z-scores to identify overvalued conditions and potential mean reversion setups Market Analysis: Understand the relationship between futures and spot markets across different asset classes Timing Tool: Spread momentum often precedes price moves, providing early signals for entry/exit decisions Perfect for traders who want to understand the relationship between futures and spot markets, identify divergences, and spot potential reversal opportunities across crypto, indices, and commodities. Key Features: • Automatic asset detection and appropriate spread calculation • Configurable Z-score alerts for extreme conditions • Comprehensive tooltips and information guide • Multiple calculation methods (absolute, percentage, basis points) • Clean, customizable visual display Use Cases: • Crypto traders analyzing perp vs spot relationships • Futures traders monitoring basis relationships • Mean reversion strategies using extreme spreads • Trend confirmation using spread momentum • Market sentiment analysis across asset classes
Pine Script® indicator
by mindyourbuisness
RSI Mansfield +RSI Mansfield+ – Adaptive Relative Strength Indicator with Divergences Overview RSI Mansfield+ is an advanced relative strength indicator that compares your instrument’s performance against a configurable benchmark index or asset (e.g., Bitcoin Dominance, S&P 500). It combines Mansfield normalization, adaptive smoothing techniques, and automatic detection of bullish and bearish divergences (regular and hidden), delivering a comprehensive tool for assessing relative strength across any market and timeframe. Originality and Motivation Unlike traditional relative strength scripts, this indicator introduces several distinctive improvements: Mansfield Normalization: Scales the ratio between the asset and the benchmark relative to its moving average, transforming it into a normalized oscillator that fluctuates around zero, making it easier to spot outperformance or underperformance. Adaptive Smoothing: Automatically selects whether to use EMA or SMA based on the market type (crypto or stocks) and timeframe (intraday, daily, weekly, monthly), avoiding manual configuration and providing more robust results under varying volatility conditions. Divergence Detection: Identifies four types of divergences in the Mansfield oscillator to help anticipate potential reversal points or trend confirmations. Multi-Market Support: Offers benchmark selection among major crypto and global stock indices from a single input. These enhancements make RSI Mansfield+ more practical and powerful than conventional relative strength scripts with static benchmarks or without divergence capabilities. Core Concepts Relative Strength (RS): Compares price evolution between your asset and the selected benchmark. Mansfield Normalization: Measures how much the RS deviates from its historical moving average, expressed as a scaled oscillator. Divergences: Detects regular and hidden bullish or bearish divergences within the Mansfield oscillator. Timeframe Adaptation: Dynamically adjusts moving average lengths based on timeframe and market type. How It Works Benchmark Selection Choose among over 10 indices or market domains (BTC Dominance, ETH Dominance, S&P 500, European indices, etc.). Ratio Calculation Computes the price-to-benchmark ratio and smooths it with the adaptive moving average. Normalization and Scaling Transforms deviations into a Mansfield oscillator centered around zero. Dynamic Coloring Green indicates relative outperformance, red signals underperformance. Divergence Detection Automatically identifies bullish and bearish (regular and hidden) divergences by comparing oscillator pivots against price pivots. Baseline Reference A clear zero line helps interpret relative strength trends. Usage Guidelines Benchmark Comparison Ideal for traders analyzing whether an asset is outperforming or lagging its sector or market. Divergence Analysis Helps detect potential reversal or continuation signals in relative strength. Multi-Timeframe Compatibility Can be applied to intraday, daily, weekly, or monthly charts. Interpretation Oscillator >0 and green: outperforming the benchmark. Oscillator <0 and red: underperforming. Bullish divergences: potential relative strength reversal to the upside. Bearish divergences: possible loss of momentum or reversal to the downside. Credits The concept of Mansfield Relative Strength is based on Stan Weinstein’s original work on relative performance analysis. This script was built entirely from scratch in TradingView Pine Script v6, incorporating original logic for adaptive smoothing, normalized scaling, and divergence detection, without reusing any external open-source code.
Pine Script® indicator
by Max_GS
Adaptive Squeeze Momentum +Adaptive Squeeze Momentum+ (Auto-Timeframe Version) Overview Adaptive Squeeze Momentum+ is an enhanced volatility and momentum indicator designed to identify compression and expansion phases in price action. It is inspired by the classic Squeeze Momentum Indicator by LazyBear but introduces automatic parameter adaptation to any timeframe, making it simpler to use across different markets without manual configuration. Concepts and Methodology The script combines Bollinger Bands (BB) and Keltner Channels (KC) to detect periods when volatility contracts (squeeze) or expands (release). A squeeze occurs when BB are inside KC, suggesting low volatility and potential breakout scenarios. A squeeze release is detected when BB expand outside KC. Momentum is derived using a linear regression applied to the difference between price and a midrange reference level. Original Improvements Compared to the original Squeeze Momentum Indicator, this version offers several enhancements: Automatic Adaptation: BB and KC lengths and multipliers are dynamically adjusted based on the chart’s timeframe (from 1 minute up to 1 month), removing the need for manual tuning. Simplified Visualization: A clean, minimalist histogram and clear squeeze state cross markers allow for faster interpretation. Flexible Application: Designed to work consistently on intraday, daily, and higher timeframes across crypto, forex, stocks, and indices. Features Dynamic Squeeze Detection: Gray Cross: Neutral (no squeeze detected) Blue Cross: Active squeeze Yellow Cross: Squeeze released Momentum Histogram: Positive/negative momentum shown with slope-based coloring. Timeframe-Aware Parameters: Automatically sets optimal BB/KC configurations. Usage Watch for blue crosses indicating an active squeeze phase that may precede a directional move. Use the histogram color and slope to gauge momentum strength and direction. Combine squeeze release signals with momentum confirmation for potential entries or exits. Credits and Licensing This script was inspired by LazyBear’s OLD “Squeeze Momentum Indicator” (). The implementation here significantly expands upon the original by introducing auto-adaptive parameters, restructured logic, and a new visualization approach. Published under the Mozilla Public License 2.0. Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Use at your own risk.
Pine Script® indicator
by Max_GS
EMA 21/50/150/200This indicator plots four Exponential Moving Averages (EMAs) on the chart to help identify trends, momentum, and potential support or resistance levels. The EMAs used are: EMA 21 (Red): Captures short-term price momentum. EMA 50 (Orange): Represents medium-term trend direction. EMA 150 (Aqua): Shows the broader trend over a longer timeframe. EMA 200 (Blue): Commonly used to identify major long-term trend direction and key support/resistance zones. These EMAs are commonly used by swing traders and trend-following strategies to determine trend strength, pullback opportunities, or cross-based trade entries
Pine Script® indicator
by vmarjunits
Market Entropy Strategy V2.5This strategy is an updated version of a market entropy-based trading system. It removes EMA dependencies and introduces two indicators: 1. **Volatility Momentum Index (VMI)**: Measures volatility acceleration for timing entries (from calm to active phases) and exits (at peak chaos). 2. **Volume-Weighted Price Center (VWPC)**: A volume-weighted trend filter using typical price to determine overall market direction. The strategy enters trades on transitions from low volatility ("calm") to increasing activity, filtered by trend direction. Exits occur when volatility reaches a high "chaos" threshold. It supports long, short, or both directions, with configurable parameters for optimization. Backtest results depend on market conditions; use with caution and combine with your own analysis. No guarantees of performance.
Pine Script® strategy
by TiamatCrypto
Dettling Sexy Shirt LevelsThis indicator allows you to quickly enter levels you want to trade for quick scalps. You can enter your buy or sell point (Bull or Bear Line), and up to 5 profit levels. Pearsons Pivots and Camarillo Pivots are automatically updated each day, and can be selected on or off. It works well if you buy a call or put a few days until expiration, a few dollars out of the money. After entering your buy points and Target levels, there is a drop down menu at the top of the settings page. You must select the ticker you are looking at on the chart, Tradingview will not automatically update the level if you are looking at a ticker but it is not selected in the menu.
Pine Script® indicator
by colviwj
Rifle UnifiedThis script is designed for use on 30-second charts of Dow Jones-related symbols (YM, MYM, US30). It provides automated buy and sell signals using a combination of price action, RSI (Relative Strength Index), and volume analysis. The script is intended for both live trading signals and backtesting, with configurable risk management and debugging features. Core Functionality 1. Signal Generation Logic Trigger: The algorithm looks for a sharp price move (drop or rise) of a user-defined threshold (default: 80 points) within a specified lookback window (default: 20 minutes). Levels: It monitors for price drops below specific numerical levels ending in 23, 43, or 73 (e.g., 42223, 42273). RSI Condition: When price falls below one of these levels and the RSI is below 30, the setup is considered active. Buy Signal: A buy is triggered if, after setup: Price rises back above the level, The RSI rate of change (ROC) indicates exhaustion of the drop, The current bar shows positive momentum. 2. Trade Management Stop Loss & Take Profit: Configurable fixed or trailing stop loss and take profit levels are plotted and managed automatically. Exit Signals: The script signals exit based on price action relative to these risk management levels. 3. Filters & Enhancements Parabolic Move Filter: Prevents entries during extreme price moves. Dead Cat Bounce Filter: Avoids false signals after sharp reversals. Volume Filter: Optionally requires volume conditions for trade entries (especially for shorts). Multiple Confirmation Layers : Includes checks for 5-minute RSI, momentum, and price retracement. User Inputs & Customization Trade Direction: Toggle between LONG and SHORT signal generation. Trigger Settings: Adjust thresholds for price moves, lookback windows, RSI ROC, and volume requirements. Trade Settings: Set take profit, stop loss, and trailing stop behavior. Debug & Visualization: Enable or disable various plots, labels, and debug tables for in-depth analysis. Backtesting: Integrated backtester with summary and detailed statistics tables. Technical Features Uses External Libraries: Relies on RifleShooterLib for core logic and BackTestLib for backtesting and statistics. Multi-timeframe Analysis: Incorporates both 30-second and 5-minute RSI calculations. Chart Annotations: Plots entry/exit points, risk levels, and debug information directly on the chart. Alert Conditions: Built-in alert triggers for key events (initial move, stall, entry). Intended Use Markets: Dow Jones symbols (YM, MYM, US30, or US30 CFD). Timeframe: 30-second chart. Purpose: Automated signal generation for discretionary or algorithmic trading, with robust risk management and backtesting support. Notable Customization & Extension Points Momentum Calculation: Plans to replace the current momentum measure with "sqz momentum". Displacement Logic: Future update to use "FVG concept" for displacement. High-Contrast RSI: Optional visual enhancements for RSI extremes. Time-based Stop: Consideration for adding a time-based stop mechanism. This script is highly modular, with extensive user controls, and is suitable for both live trading and historical analysis of Dow Jones index movements
Pine Script® indicator
by BlueMagicTrading
Institutional Momentum Scanner [IMS]Institutional Momentum Scanner - Professional Momentum Detection System Hunt explosive price movements like the professionals. IMS identifies maximum momentum displacement within 10-bar windows, revealing where institutional money commits to directional moves. KEY FEATURES: ▪ Scans for strongest momentum in rolling 10-bar windows (institutional accumulation period) ▪ Adaptive filtering reduces false signals using efficiency ratio technology ▪ Three clear states: LONG (green), SHORT (red), WAIT (gray) ▪ Dynamic volatility-adjusted thresholds (8% ATR-scaled) ▪ Visual momentum flow with glow effects for signal strength BASED ON: - Pocket Pivot concept (O'Neil/Morales) applied to price momentum - Adaptive Moving Average principles (Kaufman KAMA) - Market Wizards momentum philosophy - Institutional order flow patterns (5-day verification window) HOW IT WORKS: The scanner finds the maximum price displacement in each 10-bar window - where the market showed its hand. An adaptive filter (5-bar regression) separates real moves from noise. When momentum exceeds the volatility-adjusted threshold, states change. IDEAL FOR: - Momentum traders seeking explosive moves - Swing traders (especially 4H timeframe) - Position traders wanting institutional footprints - Anyone tired of false breakout signals Default parameters (10,5) optimized for 4H charts but adaptable to any timeframe. Remember: The market rewards patience and punishes heroes. Wait for clear signals. "The market is honest. Are you?"
Pine Script® indicator
by bremen_strategist
4
RSI-Adaptive T3 + Squeeze Momentum Strategy✅ Strategy Guide: RSI-Adaptive T3 + Squeeze Momentum Strategy 📌 Overview The RSI-Adaptive T3 + Squeeze Momentum Strategy is a dynamic trend-following strategy based on an RSI-responsive T3 moving average and Squeeze Momentum detection . It adapts in real-time to market volatility to enhance entry precision and optimize risk. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives The main objective of this strategy is to catch the early phase of a trend and generate consistent entry signals. Designed to be intuitive and accessible for traders from beginner to advanced levels. ✨ Key Features RSI-Responsive T3: T3 length dynamically adjusts according to RSI values for adaptive trend detection Squeeze Momentum: Combines Bollinger Bands and Keltner Channels to identify trend buildup phases Visual Triggers: Entry signals are generated from T3 crossovers and momentum strength after squeeze release 📊 Trading Rules Long Entry: When T3 crosses upward, momentum is positive, and the squeeze has just been released. Short Entry: When T3 crosses downward, momentum is negative, and the squeeze has just been released. Exit (Reversal): When the opposite condition to the entry is triggered, the position is reversed. 💰 Risk Management Parameters Pair & Timeframe: BTC/USD (30-minute chart) Capital (simulated): $30,00 Order size: `$100` per trade (realistic, low-risk sizing) Commission: 0.02% Slippage: 2 pips Risk per Trade: 5% Number of Trades (backtest period): 181 📊 Performance Overview Symbol: BTC/USD Timeframe: 30-minute chart Date Range: January 1, 2024 – July 3, 2025 Win Rate: 47.8% Profit Factor: 2.01 Net Profit: 173.16 (units not specified) Max Drawdown: 5.77% or 24.91 (0.79%) ⚙️ Indicator Parameters Indicator Name: RSI-Adaptive T3 + Squeeze Momentum RSI Length: 14 T3 Min Length: 5 T3 Max Length: 50 T3 Volume Factor: 0.7 BB Length: 27 (Multiplier: 2.0) KC Length: 20 (Multiplier: 1.5, TrueRange enabled) 🖼 Visual Support T3 slope direction, squeeze status, and momentum bars are visually plotted on the chart, providing high clarity for quick trend analysis and execution. 🔧 Strategy Improvements & Uniqueness Inspired by the RSI Adaptive T3 by ChartPrime and Squeeze Momentum Indicator by LazyBear , this strategy fuses both into a hybrid trend-reversal and momentum breakout detection system . Compared to traditional trend-following methods, it excels at capturing early trend signals with greater sensitivity . ✅ Summary The RSI-Adaptive T3 + Squeeze Momentum Strategy combines momentum detection with volatility-responsive risk management. With a strong balance between visual clarity and practicality, it serves as a powerful tool for traders seeking high repeatability. ⚠️ This strategy is based on historical data and does not guarantee future profits. Always use appropriate risk management when applying it.
Pine Script® strategy
by PakunFX
TTM Squeeze Value OscillatorThis indicator is specifically designed for use with TradingView's Stock Screener, not for chart analysis. It provides numerical values and binary signals that allow traders to efficiently scan stocks for specific TTM Squeeze conditions, momentum patterns, and EMA alignments. What It Does The TTM Squeeze Value Oscillator converts the popular TTM Squeeze indicator into a screenable format by outputting specific numerical values and binary signals (1 or 0) that can be filtered in TradingView's screener tool. Key Features 1. TTM Squeeze Compression Levels Value 0: Low Compression (Black) - Bollinger Bands inside outer Keltner Channels Value 1: Mid Compression (Red) - Bollinger Bands inside middle Keltner Channels Value 2: High Compression (Orange) - Bollinger Bands inside inner Keltner Channels Value 3: Squeeze Fired (Green) - Bollinger Bands outside Keltner Channels 2. Momentum Analysis Four distinct momentum conditions based on TTM Squeeze methodology: Buy Momentum Increasing - Positive momentum growing stronger Buy Momentum Decreasing - Positive momentum weakening Sell Momentum Increasing - Negative momentum growing stronger Sell Momentum Decreasing - Negative momentum weakening 3. EMA Stacking Analysis Three EMA alignment patterns using 8, 21, and 48 period EMAs: EMA Stacked Bullish - 8 EMA > 21 EMA > 48 EMA (uptrend alignment) EMA Stacked Bearish - 8 EMA < 21 EMA < 48 EMA (downtrend alignment) EMA Mixed - EMAs not in clear bullish or bearish alignment 4. Consecutive Day Counters Tracks how many consecutive days each squeeze condition has persisted: Low Compression Days Mid Compression Days High Compression Days Squeeze Fired Days 5. Combined Signal Analysis Pre-calculated combinations of squeeze conditions with momentum: All squeeze levels combined with all four momentum conditions 16 total combined signals for advanced screening
Pine Script® indicator
by codename_trading
Contrarian RSIContrarian RSI Indicator Pairs nicely with Contrarian 100 MA (optional hide/unhide buy/sell signals) Description The Contrarian RSI is a momentum-based technical indicator designed to identify potential reversal points in price action by combining a unique RSI calculation with a predictive range model inspired by the "Contrarian 5 Levels" logic. Unlike traditional RSI, which measures price momentum based solely on price changes, this indicator integrates a smoothed, weighted momentum calculation and predictive price ranges to generate contrarian signals. It is particularly suited for traders looking to capture reversals in trending or range-bound markets. This indicator is versatile and can be used across various timeframes, though it performs best on higher timeframes (e.g., 1H, 4H, or Daily) due to reduced noise and more reliable signals. Lower timeframes may require additional testing and careful parameter tuning to optimize performance. How It Works The Contrarian RSI combines two primary components: Predictive Ranges (5 Levels Logic): This calculates a smoothed price average that adapts to market volatility using an ATR-based mechanism. It helps identify significant price levels that act as potential support or resistance zones. Contrarian RSI Calculation: A modified RSI calculation that uses weighted momentum from the predictive ranges to measure buying and selling pressure. The result is smoothed and paired with a user-defined moving average to generate clear signals. The indicator generates buy (long) and sell (exit) signals based on crossovers and crossunders of user-defined overbought and oversold levels, making it ideal for contrarian trading strategies. Calculation Overview Predictive Ranges (5 Levels Logic): Uses a custom function (pred_ranges) to calculate a dynamic price average (avg) based on the ATR (Average True Range) multiplied by a user-defined factor (mult). The average adjusts only when the price moves beyond the ATR threshold, ensuring responsiveness to significant price changes while filtering out noise. This calculation is performed on a user-specified timeframe (tf5Levels) for multi-timeframe analysis. Contrarian RSI: Compares consecutive predictive range values to calculate gains (g) and losses (l) over a user-defined period (crsiLength). Applies a Gaussian weighting function (weight = math.exp(-math.pow(i / crsiLength, 2))) to prioritize recent price movements. Computes a "wave ratio" (net_momentum / total_energy) to normalize momentum, which is then scaled to a 0–100 range (qrsi = 50 + 50 * wave_ratio). Smooths the result with a 2-period EMA (qrsi_smoothed) for stability. Moving Average: Applies a user-selected moving average (SMA, EMA, WMA, SMMA, or VWMA) with a customizable length (maLength) to the smoothed RSI (qrsi_smoothed) to generate the final indicator value (qrsi_ma). Signal Generation: Long Entry: Triggered when qrsi_ma crosses above the oversold level (oversoldLevel, default: 1). Long Exit: Triggered when qrsi_ma crosses below the overbought level (overboughtLevel, default: 99). Entry and Exit Rules Long Entry: Enter a long position when the Contrarian RSI (qrsi_ma) crosses above the oversold level (default: 1). This suggests the asset is potentially oversold and due for a reversal. Long Exit: Exit the long position when the Contrarian RSI (qrsi_ma) crosses below the overbought level (default: 99), indicating a potential overbought condition and a reversal to the downside. Customization: Adjust overboughtLevel and oversoldLevel to fine-tune sensitivity. Lower timeframes may benefit from tighter levels (e.g., 20 for oversold, 80 for overbought), while higher timeframes can use extreme levels (e.g., 1 and 99) for stronger reversals. Timeframe Considerations Higher Timeframes (Recommended): The indicator is optimized for higher timeframes (e.g., 1H, 4H, Daily) due to its reliance on predictive ranges and smoothed momentum, which perform best with less market noise. These timeframes typically yield more reliable reversal signals. Lower Timeframes: The indicator can be used on lower timeframes (e.g., 5M, 15M), but signals may be noisier and require additional confirmation (e.g., from price action or other indicators). Extensive backtesting and parameter optimization (e.g., adjusting crsiLength, maLength, or mult) are recommended for lower timeframes. Inputs Contrarian RSI Length (crsiLength): Length for RSI momentum calculation (default: 5). RSI MA Length (maLength): Length of the moving average applied to the RSI (default: 1, effectively no MA). MA Type (maType): Choose from SMA, EMA, WMA, SMMA, or VWMA (default: SMA). Overbought Level (overboughtLevel): Upper threshold for exit signals (default: 99). Oversold Level (oversoldLevel): Lower threshold for entry signals (default: 1). Plot Signals on Main Chart (plotOnChart): Toggle to display signals on the price chart or the indicator panel (default: false). Plotted on Lower: Plotted on Chart: 5 Levels Length (length5Levels): Length for predictive range calculation (default: 200). Factor (mult): ATR multiplier for predictive ranges (default: 6.0). 5 Levels Timeframe (tf5Levels): Timeframe for predictive range calculation (default: chart timeframe). Visuals Contrarian RSI MA: Plotted as a yellow line, representing the smoothed Contrarian RSI with the applied moving average. Overbought/Oversold Lines: Red line for overbought (default: 99) and green line for oversold (default: 1). Signals: Blue circles for long entries, white circles for long exits. Signals can be plotted on the main chart (plotOnChart = true) or the indicator panel (plotOnChart = false). Usage Notes Use the indicator in conjunction with other tools (e.g., support/resistance, trendlines, or volume) to confirm signals. Test extensively on your chosen timeframe and asset to optimize parameters like crsiLength, maLength, and mult. Be cautious with lower timeframes, as false signals may occur due to market noise. The indicator is designed for contrarian strategies, so it works best in markets with clear reversal patterns. Disclaimer This indicator is provided for educational and informational purposes only. Always conduct thorough backtesting and risk management before using any indicator in live trading. The author is not responsible for any financial losses incurred.
Pine Script® indicator
by chuckaschultz
Universal Sentiment Oscillator with Trade RecommendationsUniversal Sentiment Oscillator & Strategy Guide Summary This all-in-one indicator is designed to be a comprehensive co-pilot for your trading journey. It moves beyond simple buy/sell signals by analyzing the underlying market sentiment and providing a dynamic, risk-assessed guide of potential trading strategies. Whether you're a novice learning the ropes or an expert seeking confirmation, this tool provides a structured framework for making smarter, more informed decisions in stocks, options, and futures. How It Works The core of the indicator is the Sentiment Oscillator, which calculates a score from -5 (Extremely Bearish) to +5 (Extremely Bullish) on every bar. This isn't just a single measurement; it's a weighted aggregate of several key technical conditions: Trend Analysis: Price position relative to the 20, 50, and 200 EMAs. Momentum Analysis: The current RSI value. Hybrid Analysis: The state of the MACD and its signal line. These factors are intelligently combined and normalized to produce a single, intuitive sentiment score, giving you an at-a-glance understanding of the market's pulse. Core Features Dynamic Trade Recommendation Table: The informational heart of the indicator. This on-chart table provides a list of potential trades perfectly aligned with the current sentiment score. Risk-Ranked Strategies: All suggested trades are logically ordered by risk, helping you quickly identify strategies that match your comfort level. Adjusted Trade Suggestions: The indicator analyzes sentiment momentum (the score vs. its signal line) to provide proactive, forward-looking trade ideas based on where the market might be heading next. Customizable Trading Styles: Tell the indicator if you are a Conservative, Neutral, or Aggressive trader, and the "Adjusted Trade Suggestion" will automatically tailor its recommendations to your personal risk preference. Context-Aware Futures Mode: When viewing a futures contract, enable this mode to switch all recommendations from stock/options to futures-specific actions (e.g., "Cautious Long," "Monitor Range"). Predictive Sentiment Cone: Visualize the potential short-term path of sentiment based on current momentum, helping you anticipate future conditions. Fully Customizable: Every parameter—from EMA lengths to trade filters—can be adjusted, allowing you to fine-tune the indicator to your exact specifications. How to Use This Indicator This tool is flexible and can be integrated into many trading systems. Here is a powerful, professional approach: Top-Down Analysis (for Swing or Position Trading): Establish the Trend: Start on the higher timeframes (Monthly, Weekly, Daily). Use the oscillator's color and score to define the dominant, long-term market sentiment. You only want to look for trades that align with this macro trend. Refine the Entry: Drop down to the medium timeframes (4-Hour, 1-Hour). Wait for the sentiment on these charts to come into alignment with the higher-timeframe trend. This pullback or consolidation is your "zone of interest." Pinpoint the Execution: Move to a lower timeframe (e.g., 15-Minute). Use the Adjusted Trade Suggestion and Sentiment Momentum to find a precise entry as momentum begins to shift back in the direction of the primary trend. You can set alerts on the oscillator's zero-line for early warnings of a sentiment shift. As a Confirmation Tool: If you have an existing trade idea, use the indicator to validate it. Does the sentiment score align with your bullish or bearish thesis? Does the momentum confirm that now is a good time to enter? As an Idea Generation Tool: Unsure what to trade? Browse different assets and let the indicator's "Primary Trades" and "Adjusted Trade Suggestion" present you with a list of risk-assessed ideas that you can then investigate further. Disclaimer: This is an analysis tool and should not be considered financial advice. All forms of trading involve substantial risk. You should not trade with money you cannot afford to lose. Always perform your own due diligence and use this indicator as one component of a complete trading plan.
Pine Script® indicator
by heliav8r
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Pine Script® indicator
by BullByte
3
Running Minimum HighThe running minimum high looks at the minimum high from a defined lookback period (default 10 days) and plots that on the price chart. Green arrows signify when the low of the candle is above the running minimum high (suggesting an uptrend), and red arrows signify when the high of the candle is below the running minimum high (suggesting a downtrend). It is recommended to use this on high timeframes (e.g. 1 hour and above) given the high number of signals it generates on lower timeframes.
Pine Script® indicator
by ExpertCBCD
Smarter Money Flow Divergence Detector [PhenLabs]📊 Smarter Money Flow Divergence Detector Version: PineScript™ v6 📌 Description SMFD was developed to help give you guys a better ability to “read” what is going on behind the scenes without directly having access to that level of data. SMFD is an enhanced divergence detection indicator that identifies money flow patterns from advanced volume analysis and price action correspondence. The detection portion of this indicator combines intelligent money flow calculations with multi timeframe volume analysis to help you see hidden accumulation and distribution phases before major price movements occur. The indicator measures institutional trading activity by looking at volume surges, price volume dynamics, and the factors of momentum to construct an overall picture of market sentiment. It’s built to assist traders in identifying high probability entries by identifying if smart money is positioning against price action. 🚀 Points of Innovation ● Advanced Smart Money Flow algorithm with volume spike detection and large trade weighting ● Multi timeframe volume analysis for enhanced institutional activity detection ● Dynamic overbought/oversold zones that adapt to current market conditions ● Enhanced divergence detection with pivot confirmation and strength validation ● Color themes with customizable visual styling options ● Real time institutional bias tracking through accumulation/distribution analysis 🔧 Core Components ● Smart Money Flow Calculation: Combines price momentum, volume expansion, and VWAP analysis ● Institutional Bias Oscillator: Tracks accumulation/distribution patterns with volume pressure analysis ● Enhanced Divergence Engine: Detects bullish/bearish divergences with multiple confirmation factors ● Dynamic Zone Detection: Automatically adjusts overbought/oversold levels based on market volatility ● Volume Pressure Analysis: Measures buying vs selling pressure over configurable periods ● Multi factor Signal System: Generates entries with trend alignment and strength validation 🔥 Key Features ● Smart Money Flow Period: Configurable calculation period for institutional activity detection ● Volume Spike Threshold: Adjustable multiplier for detecting unusual institutional volume ● Large Trade Weight: Emphasis factor for high volume periods in flow calculations ● Pivot Detection: Customizable lookback period for accurate divergence identification ● Signal Sensitivity: Three tier system (Conservative/Medium/Aggressive) for signal generation ● Themes: Four color schemes optimized for different chart backgrounds 🎨 Visualization ● Main Oscillator: Line, Area, or Histogram display styles with dynamic color coding ● Institutional Bias Line: Real time tracking of accumulation/distribution phases ● Dynamic Zones: Adaptive overbought/oversold boundaries with gradient fills ● Divergence Lines: Automatic drawing of bullish/bearish divergence connections ● Entry Signals: Clear BUY/SELL labels with signal strength indicators ● Information Panel: Real time statistics and status updates in customizable positions 📖 Usage Guidelines Algorithm Settings ● Smart Money Flow Period ○ Default: 20 ○ Range: 5-100 ○ Description: Controls the calculation period for institutional flow analysis. Higher values provide smoother signals but reduce responsiveness to recent activity ● Volume Spike Threshold ○ Default: 1.8 ○ Range: 1.0-5.0 ○ Description: Multiplier for detecting unusual volume activity indicating institutional participation. Higher values require more extreme volume for detection ● Large Trade Weight ○ Default: 2.5 ○ Range: 1.5-5.0 ○ Description: Weight applied to high volume periods in smart money calculations. Increases emphasis on institutional sized transactions Divergence Detection ● Pivot Detection Period ○ Default: 12 ○ Range: 5-50 ○ Description: Bars to analyze for pivot high/low identification. Affects divergence accuracy and signal frequency ● Minimum Divergence Strength ○ Default: 0.25 ○ Range: 0.1-1.0 ○ Description: Required price change percentage for valid divergence patterns. Higher values filter out weaker signals ✅ Best Use Cases ● Trading with intraday to daily timeframes for institutional position identification ● Confirming trend reversals when divergences align with support/resistance levels ● Entry timing in trending markets when institutional bias supports the direction ● Risk management by avoiding trades against strong institutional positioning ● Multi timeframe analysis combining short term signals with longer term bias ⚠️ Limitations ● Requires sufficient volume for accurate institutional detection in low volume markets ● Divergence signals may have false positives during highly volatile news events ● Best performance on liquid markets with consistent institutional participation ● Lagging nature of volume based calculations may delay signal generation ● Effectiveness reduced during low participation holiday periods 💡 What Makes This Unique ● Multi Factor Analysis: Combines volume, price, and momentum for comprehensive institutional detection ● Adaptive Zones: Dynamic overbought/oversold levels that adjust to market conditions ● Volume Intelligence: Advanced algorithms identify institutional sized transactions ● Professional Visualization: Multiple display styles with customizable themes ● Confirmation System: Multiple validation layers reduce false signal generation 🔬 How It Works 1. Volume Analysis Phase: ● Analyzes current volume against historical averages to identify institutional activity ● Applies multi timeframe analysis for enhanced detection accuracy ● Calculates volume pressure through buying vs selling momentum 2. Smart Money Flow Calculation: ● Combines typical price with volume weighted analysis ● Applies institutional trade weighting for high volume periods ● Generates directional flow based on price momentum and volume expansion 3. Divergence Detection Process: ● Identifies pivot highs/lows in both price and indicator values ● Validates divergence strength against minimum threshold requirements ● Confirms signals through multiple technical factors before generation 💡 Note: This indicator works best when combined with proper risk management and position sizing. The institutional bias component helps identify market sentiment shifts, while divergence signals provide specific entry opportunities. For optimal results, use on liquid markets with consistent institutional participation and combine with additional technical analysis methods.
Pine Script® indicator
by PhenLabs
MACD Breakout SuperCandlesMACD Breakout SuperCandles The MACD Breakout SuperCandles indicator is a candle-coloring tool that monitors trend alignment across multiple timeframes using a combination of MACD behavior and simple price structure. It visually reflects market sentiment directly on price candles, helping traders quickly recognize shifting momentum conditions. How It Works The script evaluates trend behavior based on: - Multi-timeframe MACD Analysis: Uses MACD values and signal line relationships to gauge trend direction and strength. - Price Relative to SMA Zones: Analyzes whether price is positioned above or below the 20-period high and low SMAs on each timeframe. For each timeframe, the script assigns one of five possible trend statuses: - SUPERBULL: Strong bullish MACD signal with price above both SMAs. - Bullish: Bullish MACD crossover with price showing upward bias. - Basing: MACD flattening or neutralizing near zero with no directional dominance. - Bearish: Bearish MACD signal without confirmation of stronger trend. - SUPERBEAR: Strong bearish MACD signal with price below both SMAs. -Ghost Candles: Candles with basing attributes that can signal directional change or trend strength. Signal Scoring System The script compares conditions across four timeframes: - TF1 (Short) - TF2 (Medium) - TF3 (Long) - MACD at a fixed 10-minute resolution Each status type is tracked independently. A colored candle is only applied when a status type (e.g., SUPERBULL) reaches the minimum match threshold, defined by the "Min Status Matches for Candle Color" setting. If no status meets the required threshold, the candle is displayed in a neutral "Ghost" color. Customizable Visuals The indicator offers full control over candle appearance via grouped settings: Body Colors - SUPERBULL Body - Bullish Body - Basing Body - Bearish Body - SUPERBEAR Body - Ghost Candle Body (used when no match) Border & Wick Colors - SUPERBULL Border/Wick - Bullish Border/Wick - Basing Border/Wick - Bearish Border/Wick - SUPERBEAR Border/Wick - Ghost Border/Wick Colors are grouped by function and can be adjusted independently to match your chart theme or personal preferences. Settings Overview - TF1, TF2, TF3: Select short, medium, and long timeframes to monitor trend structure. - Min Status Matches: Set how many timeframes must agree before a candle status is applied. - MACD Settings: Customize MACD fast, slow, and signal lengths, and choose MA type (EMA, SMA, WMA). This tool helps visualize how aligned various timeframe conditions are by embedding sentiment into the candles themselves. It can assist with trend identification, momentum confirmation, or visual filtering for discretionary strategies.
Pine Script® indicator
by Midgar-
8
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities. Theoretical Foundation Momentum Factor Research The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)². The momentum calculation methodology follows the academic standard: Momentum(t) = / P(t-n) × 100 Where P(t) is the current price and n is the lookback period. The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator. Indicator Architecture Core Components 1. Data Collection and Processing The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods). 2. Composite Oscillator Calculation Following Fama-French factor construction methodology, the indicator offers two weighting schemes: - Equal Weight: Each active stock receives identical weighting (1/n) - Market Cap Weight: Reserved for future enhancement 3. Oscillator Transformation Functions The indicator provides five distinct oscillator types, each with established technical analysis foundations: a) Momentum Oscillator (Default) - Pure rate-of-change calculation - Centered around zero - Direct implementation of Jegadeesh & Titman methodology b) RSI (Relative Strength Index) - Wilder's (1978) relative strength methodology - Transformed to center around zero for consistency - Scale: -50 to +50 c) Stochastic Oscillator - George Lane's %K methodology - Measures current position within recent range - Transformed to center around zero d) Williams %R - Larry Williams' range-based oscillator - Inverse stochastic calculation - Adjusted for zero-centered display e) CCI (Commodity Channel Index) - Donald Lambert's mean reversion indicator - Measures deviation from moving average - Scaled for optimal visualization Operational Modes Mode 1: Magnificent 7 Analysis Tracks the collective momentum of the seven constituent stocks. This mode is optimal for: - Technology sector analysis - Growth stock momentum assessment - Large-cap performance tracking Mode 2: S&P 500 Equal Weight Comparison Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides: - Broader market momentum context - Size-neutral market analysis - Comparison baseline for relative performance Mode 3: Relative Performance Analysis Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables: - Sector rotation analysis - Style factor assessment (Growth vs. Value) - Relative strength identification Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum Signal Generation and Thresholds Signal Classification The indicator generates three signal states: - Bullish: Oscillator > Upper Threshold (default: +2.0%) - Bearish: Oscillator < Lower Threshold (default: -2.0%) - Neutral: Oscillator between thresholds Relative Performance Signals In relative performance mode, specialized thresholds apply: - Outperformance: Relative momentum > +1.0% - Underperformance: Relative momentum < -1.0% Alert System Comprehensive alert conditions include: - Threshold crossovers (bullish/bearish signals) - Zero-line crosses (momentum direction changes) - Relative performance shifts - Breadth Analysis Component The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into: - Strong Breadth (>60%): Broad-based momentum - Weak Breadth (<40%): Narrow momentum leadership - Mixed Breadth (40-60%): Neutral momentum distribution Visual Design and User Interface Theme-Adaptive Display The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences. Professional Data Table A comprehensive data table displays: - Current oscillator value and percentage - Active mode and oscillator type - Signal status and strength - Component breakdowns (in relative performance mode) - Breadth percentage - Active threshold levels Custom Color Options Users can override default colors with custom selections for: - Neutral conditions (default: Material Blue) - Bullish signals (default: Material Green) - Bearish signals (default: Material Red) Practical Applications Portfolio Management - Sector Allocation: Use relative performance mode to time technology sector exposure - Risk Management: Monitor breadth deterioration as early warning signal - Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions Market Analysis - Trend Identification: Zero-line crosses indicate momentum regime changes - Divergence Analysis: Compare MAG7 performance against broader market - Volatility Assessment: Oscillator range and frequency provide volatility insights Strategy Development - Factor Timing: Implement growth factor timing strategies - Momentum Strategies: Develop systematic momentum-based approaches - Risk Parity: Use breadth metrics for risk-adjusted portfolio construction Configuration Guidelines Parameter Selection - Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment - Smoothing Period (1-50): Higher values reduce noise but increase lag - Thresholds: Adjust based on historical volatility and strategy requirements Timeframe Considerations - Daily Charts: Optimal for swing trading and medium-term analysis - Weekly Charts: Suitable for long-term trend analysis - Intraday Charts: Useful for short-term tactical decisions Limitations and Considerations Market Concentration Risk The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions. Momentum Persistence While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years). Correlation Dynamics During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity. Performance Metrics and Backtesting The indicator includes hidden plots for comprehensive backtesting: - Individual stock momentum values - Composite breadth percentage - S&P 500 Equal Weight momentum - Relative performance calculations These metrics enable quantitative strategy development and historical performance analysis. References ¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91. Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Pine Script® indicator
by EdgeTools
6
CDP - Counter-Directional-Pivot🎯 CDP - Counter-Directional-Pivot 📊 Overview The Counter-Directional-Pivot (CDP) indicator calculates five critical price levels based on the previous day's OHLC data, specifically designed for multi-timeframe analysis. Unlike standard pivot points, CDP levels are calculated using a unique formula that identifies potential reversal zones where price action often changes direction. ⚡ What Makes This Script Original This implementation solves several technical challenges that existing pivot indicators face: 🔄 Multi-Timeframe Consistency: Values remain identical across all timeframes (1m, 5m, 1h, daily) - a common problem with many pivot implementations 🔒 Intraday Stability: Uses advanced value-locking technology to prevent the "stepping" effect that occurs when pivot lines shift during the trading session 💪 Robust Data Handling: Optimized for both liquid and illiquid stocks with enhanced data synchronization 🧮 CDP Calculation Formula The indicator calculates five key levels using the previous day's High (H), Low (L), and Close (C): CDP = (H + L + C) ÷ 3 (Central Decision Point) AH = 2×CDP + H – 2×L (Anchor High - Strong Resistance) NH = 2×CDP – L (Near High - Moderate Resistance) AL = 2×CDP – 2×H + L (Anchor Low - Strong Support) NL = 2×CDP – H (Near Low - Moderate Support) ✨ Key Features 🎨 Visual Elements 📈 Five Distinct Price Levels: Each with customizable colors and line styles 🏷️ Smart Label System: Shows exact price values for each level 📋 Optional Value Table: Displays all levels in an organized table format 🎯 Clean Chart Display: Minimal visual clutter while maximizing information ⚙️ Technical Advantages 🔐 Session-Locked Values: Prices are locked at market open, preventing intraday shifts 🔄 Multi-Timeframe Sync: Perfect consistency between daily and intraday charts ✅ Data Validation: Built-in checks ensure reliable calculations 🚀 Performance Optimized: Efficient code structure for fast loading 💼 Trading Applications 🔄 Reversal Zones: AH and AL often act as strong turning points 💥 Breakout Confirmation: Price movement beyond these levels signals trend continuation 🛡️ Risk Management: Use levels for stop-loss and take-profit placement 🏗️ Market Structure: Understand daily ranges and potential price targets 📚 How to Use 🚀 Basic Setup Add the indicator to your chart (works on any timeframe) Customize colors for easy identification of support/resistance zones Enable the value table for quick reference of exact price levels 📈 Trading Strategy Examples 🟢 Long Bias: Look for bounces at NL or AL levels 🔴 Short Bias: Watch for rejections at NH or AH levels 💥 Breakout Trading: Enter positions when price decisively breaks through anchor levels ↔️ Range Trading: Use CDP as the central reference point for range-bound markets 🎯 Advanced Strategy Combinations RSI Integration for Enhanced Signals: 📊 📉 Oversold Bounces: Combine RSI below 30 with price touching AL/NL levels for high-probability long entries 📈 Overbought Rejections: Look for RSI above 70 with price rejecting AH/NH levels for short opportunities 🔍 Divergence Confirmation: When RSI shows bullish divergence at support levels (AL/NL) or bearish divergence at resistance levels (AH/NH), it often signals stronger reversal potential ⚡ Momentum Confluence: RSI crossing 50 while price breaks through CDP can confirm trend direction changes ⚙️ Configuration Options 🎨 Line Customization: Adjust width, style (solid/dashed/dotted), and colors 👁️ Display Preferences: Toggle individual levels, labels, and value table 📍 Table Position: Place the value table anywhere on your chart 🔔 Alert System: Get notifications when price crosses key levels 🔧 Technical Implementation Details 🎯 Data Reliability The script uses request.security() with lookahead settings to ensure historical accuracy while maintaining real-time functionality. The value-locking mechanism prevents the common issue where pivot levels shift during the trading day. 🔄 Multi-Timeframe Logic ⏰ Intraday Charts: Display previous day's calculated levels as stable horizontal lines 📅 Daily Charts: Show current day's levels based on yesterday's OHLC 🔍 Consistency Check: All timeframes reference the same source data 🤔 Why CDP vs Standard Pivots? Counter-Directional Pivots often provide more accurate reversal points than traditional pivot calculations because they incorporate the relationship between high/low ranges and closing prices more effectively. The formula creates levels that better reflect market psychology and institutional trading behaviors. 💡 Best Practices 💧 Use on liquid markets for most reliable results 📊 RSI Combination: Add RSI indicator for overbought/oversold confirmation and divergence analysis 📊 Combine with volume analysis for confirmation 🔍 Consider multiple timeframe analysis (daily levels on hourly charts) 📝 Test thoroughly in paper trading before live implementation 💪 Example Market Applications NASDAQ:AAPL AAPL - Tech stock breakouts through AH levels $NYSE:SPY SPY - Index trading with CDP range analysis NASDAQ:TSLA TSLA - Volatile stock reversals at AL/NL levels ⚠️ This indicator is designed for educational and analytical purposes. Always combine with proper risk management and additional technical analysis tools.
Pine Script® indicator
by joericke
Momentum Flip Pro - Advanced ZigZag Trading SystemMomentum Flip Pro - Advanced ZigZag Trading System Complete User Guide 📊 What This Indicator Does The Momentum Flip Pro is an advanced position-flipping trading system that automatically identifies trend reversals using ZigZag patterns combined with momentum analysis. It's designed for traders who want to always be in the market, flipping between long and short positions at optimal reversal points. Key Features: Automatically flips positions at each ZigZag reversal point Dynamic stop loss placement at exact ZigZag levels Real-time trading dashboard with performance metrics Capital tracking and ROI calculation Three momentum engines to choose from 🎯 How It Works Entry Signal: When a ZigZag point appears (circle on chart), the indicator: Exits current position (if any) Immediately enters opposite position Places stop loss at the exact ZigZag price Exit Signal: Positions are closed when the next ZigZag appears, then immediately reversed Position Management: Long Entry: ZigZag bottom (momentum turns UP) Short Entry: ZigZag peak (momentum turns DOWN) Stop Loss: Always at the ZigZag entry price Take Profit: Next ZigZag point (automatic position flip) ⚙️ Recommended Settings For Day Trading (5m-15m timeframes): Momentum Engine: Quantum - RSI Length: 9-12 - Quantum Factor: 3.5-4.0 - RSI Smoothing: 3-5 - Threshold: 8-10 For Swing Trading (1H-4H timeframes): Momentum Engine: MACD - Fast Length: 12 - Slow Length: 26 - Signal Smoothing: 9 - MA Type: EMA For Position Trading (Daily): Momentum Engine: Moving Average - Average Type: EMA or HMA - Length: 20-50 📈 How to Use for Trading Add to Chart: Add indicator to your chart Set your starting capital Choose your preferred momentum engine Understanding Signals: Green circles: Strong bullish momentum reversal Red circles: Strong bearish momentum reversal Purple circles: Normal momentum reversal Entry labels: Show exact entry points with tooltips Trading Rules: Enter LONG when you see an up arrow + green/purple circle Enter SHORT when you see a down arrow + red/purple circle Stop loss is automatically at the ZigZag level Hold until next ZigZag appears (exit + reverse) Risk Management: Risk per trade = Entry Price - Stop Loss Position size = (Capital * Risk %) / Risk per trade Recommended risk: 1-2% per trade 💡 Best Practices Market Conditions: Works best in trending markets Excellent for volatile pairs (crypto, forex majors) Avoid during low volume/consolidation Timeframe Selection: Lower timeframes (5m-15m): More signals, higher noise Higher timeframes (1H+): Fewer signals, higher reliability Sweet spot: 15m-1H for most traders Momentum Engine Selection: Quantum: Best for volatile markets (crypto, indices) MACD: Best for trending markets (forex, stocks) Moving Average: Best for smooth trends (commodities) 📊 Dashboard Interpretation The trading dashboard shows: Current Capital: Your running balance Position: Current trade direction Entry/Stop: Your risk levels Statistics: Win rate and performance ROI: Overall return on investment ⚠️ Important Notes Always Active: This system is always in a position (long or short) No Neutral: You're either long or short, never flat Automatic Reversal: Positions flip at each signal Stop Loss: Fixed at entry ZigZag level (doesn't trail) 🎮 Quick Start Guide Beginners: Start with default settings on 1H timeframe Test First: Use paper trading to understand the signals Small Size: Begin with 1% risk per trade Track Results: Monitor the dashboard statistics Adjust: Fine-tune momentum settings based on results 🔧 Customization Tips Color Signals: Enable to see momentum strength Dashboard Position: Move to preferred screen location Visual Settings: Adjust colors for your theme Alerts: Set up for automated notifications This indicator is ideal for traders who prefer an always-in-market approach with clear entry/exit rules and automated position management. The key to success is choosing the right momentum engine for your market and maintaining disciplined risk management.
Pine Script® indicator
by MaximusGains
3
Market Arterial PressureIndicator Description: Pulse-Market – Market Blood Pressure "I slept and had a dream." In that dream, I wore a white lab coat and shiny black pointed shoes. I felt like a doctor—not of traditional medicine, but of the financial market itself. My mission was clear: to measure the market's blood pressure and diagnose its health. With this vision, I decided to turn the dream into code. Thus, Pulse-Market was born: an indicator designed to listen to the heartbeat of the blockchain, capturing signs of vitality or collapse, and anticipating the pulse of the next trend. But the journey did not stop there. At the core of this creation, I incorporated a profound theory: the cycle of existence — Alpha, Beta, and Omega — concepts that resonate both in science and sacred scriptures. Alpha (α) represents the beginning: the primary impulse, the market's accelerated pulse. Beta (β) symbolizes the middle: the vital rhythm, the stabilizing cadence of prices. Omega (Ω) indicates the end: structural collapse, the exhaustion of a cycle. This logical and symbolic triad forms the foundation of Pulse-Market — the beginning, middle, and end of every market cycle. How to Use the Indicator Pulse-Market works as a dynamic oscillator composed of three main forces: Alpha Pulse (α) Measures recent price acceleration. The stronger the pulse, the more intense the market movement. Beta Rhythm (β) Controls the smoothing of the price rhythm and can be adjusted in four modes: Fast – quick reactions with more sensitivity Normal – standard smoothing (simple moving average) Slow – slow and consistent movements Accelerated – Hull method: reactive and smooth Omega Collapse (Ω) Combines entropy and reversals to detect structural collapses where the market may be losing strength. Visual Interpretation Green line above zero: healthy pulse, buying pressure in control. Red line below zero: strong selling pressure, possible exhaustion. Crossing the zero line: potential trend reversal. Settings and Customization In the indicator settings panel, you can calibrate the pressure reading sensitivity: Systolic Pressure (α): controls the reaction to rapid price impulses. Increase to highlight aggressive moves; decrease to smooth spikes. Diastolic Pressure (β): regulates the importance of the underlying rhythm. Increase for smooth trends; decrease for quicker responses. Pulse Pressure (Ω): sensitivity to structural collapses and volatility. Increase to detect reversals; decrease to ignore market noise. Practical Applications Confirm entry and exit signals based on the balance between Alpha and Omega. Adjust the indicator to your trading style: scalper, day trader, or swing trader. Use on any asset: cryptocurrencies, stocks, indices, forex. Integrated Philosophy We live limited by time and matter, but markets, like life, follow natural cycles: they are born, mature, collapse, and are reborn. Pulse-Market is not just a technical indicator — it is a spiritual and analytical stethoscope that listens to the heartbeat of volatility and tries to anticipate what the eyes cannot see, but time always reveals. Original Creator This indicator was created by Canhoto-Medium, the sole inventor and namer of this tool. As long as time goes on, no other indicator will exist with this essence or name.
Pine Script® indicator
by Canhoto-Medium