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M-oscillator

T3 smooth MACD BB What this script does – in plain words Smoothes the MACD with a special T3 filter, turning the raw MACD into a smoother line so short‑term noise is reduced. Draws Bollinger‑style bands around that smoothed MACD, giving a “mid line” and upper/lower envelopes that show how far the line is from its recent average. Colors the main line green when it’s rising and red when it’s falling, helping you see the trend at a glance. Adds a bold zero line plus light gray markers on the bands so you can spot crossovers easily. Includes a translucent blue fill between the upper and lower bands for visual emphasis. This gives a clear, color‑coded view of MACD momentum plus volatility bands—all on the same indicator pane.
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luckyroosterの投稿
Alpha Hunter Integrated MACD & Oscillator [wjdtks255]Indicator Title: Alpha Hunter Integrated MACD & Oscillator Pro Short Description A high-precision hybrid oscillator that integrates MACD dynamics with a secondary-smoothed histogram to eliminate market noise and capture trend reversals with minimal lag. Detailed Description Overview The Alpha Hunter Integrated MACD & Oscillator is designed to overcome the inherent lag of standard MACD indicators. By applying an exponential moving average (EMA) filter to the histogram itself and incorporating a momentum direction check, this tool identifies high-probability entry points while filtering out "whipsaws" commonly found in choppy markets. Key Technical Pillars Dual-Smoothed Histogram: Unlike standard oscillators, this script smooths the raw histogram values using a secondary filtering period. This reveals the true underlying momentum before price action fully shifts. Momentum Directional Filter: Entry signals are only triggered when the MACD line’s slope aligns with the crossover, ensuring you don't enter against a stalling trend. Dynamic Trend Clouds: The visual fill between the MACD and Signal lines acts as a "Trend Cloud," providing immediate visual feedback on the strength and duration of the current trend. The Winning Trading Strategy (How to Use) To maximize win rates, it is highly recommended to use this indicator as a Confirmation Oscillator alongside a Long-term Trend Filter (like a 200 EMA) on your main chart. 1. Long Setup (Buy) Context: Price must be trading above the 200 EMA on the main chart. Signal: A green "BUY" triangle and label appear on the oscillator. Confirmation: The Histogram should be green and rising. Exit: Exit at a pre-defined Take Profit (TP) box or when a bearish MACD crossunder occurs. 2. Short Setup (Sell) Context: Price must be trading below the 200 EMA on the main chart. Signal: A red "SELL" triangle and label appear on the oscillator. Confirmation: The Histogram should be red and falling. Exit: Exit at the designated Stop Loss (SL) or when a bullish MACD crossover occurs. Input Parameters & Optimization Fast/Slow/Signal: Default 12, 26, 9. (Standard for most markets). Signal Smoothing: Set to 5 for a balance of speed and reliability. Increase to 8+ for swing trading on higher timeframes. Recommended Timeframes: 15m, 1h, and 4h for the best signal-to-noise ratio. Author's Note This indicator is a "No-Repaint" script. Signals are confirmed at the close of the candle to ensure reliability during live trading. Always use proper risk management.
Pine Script® インジケーター
wjdtks255の投稿
Old Glory Exhaustion Detector / In Chart Oscillator SignalsThis custom oscillator-based indicator detects potential trend exhaustion and reversal points through overextension thresholds. It highlights overextended candle bodies in gold and plots diamonds for buy/sell signals (red/blue), regular divergences (yellow), and hidden divergences (silver). Customize lengths, thresholds, and all colors via inputs for flexible analysis across timeframes.
Pine Script® インジケーター
tony796の投稿
Delta Hedging Pressure📊 COT Delta Hedging Pressure – Institutional Sentiment Indicator This indicator visualizes institutional hedging pressure by aggregating delta-style positioning into a clean, session-aware sentiment framework. Instead of guessing direction, it shows who is likely hedging vs. pressing, helping traders align intraday execution with higher-timeframe positioning. 🔍 What This Indicator Does Calculates cumulative hedging pressure using price-based delta logic Classifies market state into: Bullish (positive hedge pressure) Bearish (negative hedge pressure) Neutral (balanced flow) Resets cleanly by session or user-defined period Visualizes sentiment using: Background shading Labels Cumulative plots 🧠 How Traders Use It Directional bias filter (trade only with sentiment) Context for FVGs, liquidity raids, and pullbacks Avoids chop by identifying neutral hedge conditions Pairs especially well with: XAUUSD Index CFDs Futures / CFD hybrids ⚙️ Key Features Session-aware cumulative logic Adjustable sensitivity and lookback Clean visual design (no clutter) Non-repainting calculations Works on 1m → HTF ⚠️ Important Notes This is a context tool, not a signal generator Best used alongside price structure and risk management Designed for discipline and alignment, not overtrading 🎯 Ideal For Scalpers & intraday traders Traders using: Fair Value Gaps (FVG) Liquidity sweeps Session-based models Traders transitioning from prop logic to personal capital 🧩 Final Thought This indicator answers one question: “Is the market hedging or pressing — and should I be aggressive or patient?” If you trade with structure, this keeps you on the right side.
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uzair2joinの投稿
Trend Cloud with Buy/Sell Text [wjdtks255]Indicator Title: Trend Cloud with Buy/Sell Signal Pro Short Description A high-probability trend-following indicator based on Supertrend dynamics, enhanced with a Volume Filter to pinpoint explosive entries while minimizing false breakouts. Detailed Description (Overview) The Trend Cloud with Buy/Sell Text is designed for traders who prioritize clarity and momentum. It visualizes market trends through a "Trend Cloud" system and generates real-time BUY/SELL signals only when price action is backed by significant trading volume. Key Technical Pillars Dynamic Trend Cloud: Fills the area between the price and the Supertrend line, providing immediate visual feedback on trend strength and potential support/resistance zones. Smart Volume Filter: A unique logic that compares current volume against a 20-period moving average. Labels only appear when a trend shift occurs with above-average volume, filtering out weak "fakeouts." No-Repaint Labels: Signals are calculated and fixed at the close of the candle, ensuring that the BUY/SELL text remains permanent for reliable historical backtesting and live execution. The Alpha Hunter Strategy (How to Trade) 1. Long Entry (Buy) Condition: The cloud turns Aqua and a "BUY" label appears below the candle. Confirmation: Ensure the price remains above the Aqua Trend Line. Volume Check: The indicator automatically verifies if the volume is higher than the 20-period average before displaying the label. Exit: Exit when a "SELL" signal appears or the price closes below the Aqua line. 2. Short Entry (Sell) Condition: The cloud turns Red and a "SELL" label appears above the candle. Confirmation: Price should stay below the Red Trend Line. Exit: Exit when a "BUY" signal appears or the price closes above the Red line. Input Parameters & Optimization ATR Period (Default: 10): Determines the sensitivity to price volatility. ATR Factor (Default: 3.0): Controls the distance of the trend line. Increase to 3.5 - 4.0 to reduce noise in choppy markets. Volume Filter (Toggle): When enabled, only high-momentum signals are shown. Recommended Usage Best Timeframes: 15m, 1h, 4h. Asset Classes: Highly effective for Crypto (BTC/ETH) and high-volume stocks.
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wjdtks255の投稿
MINI Lead Osc v2_ CCI_ Impulse_ REG🔹 MINI Lead Osc v2 — Momentum, Impulse & Early Reversal Tool MINI Lead Osc v2 is a leading momentum oscillator designed to detect early shifts in market strength, impulse exhaustion, and potential reversals before they become obvious on price. This indicator is part of the ICT Suite ecosystem and is engineered to work in confluence with: Regression SuperTrend (WAIT) Liquidity Oscillator (Structure & Bias) Used together, they form a complete top-down trading framework. ⚙️ Core Logic MINI Lead Osc v2 blends multiple engines into a single clean signal: • CCI + RSI slope momentum • ATR volatility shift • Pivot-based divergence detection • Adaptive Sensitivity+ engine • Regression channel (linreg + RMSE bands) The output is a normalized lead line that reacts before classic lagging indicators. 🚀 What This Indicator Is Best For ✔ Early trend continuation signals ✔ Detecting impulse starts, weakness, and distribution ✔ Filtering noise during ranges ✔ Momentum confirmation for pullback entries ✔ Spotting divergence without repainting This is not a standalone “buy/sell spam” indicator — it is a decision-quality tool. 🔁 How to Use (Recommended Setup) For best results, use MINI Lead Osc v2 together with: 1️⃣ Regression SuperTrend (WAIT) → Defines dominant trend & market regime → Filters counter-trend signals 2️⃣ Liquidity Oscillator (Structure) → Confirms break → pullback → continuation logic → Adds HTF bias & session context 3️⃣ MINI Lead Osc v2 (this script) → Times entries → Detects early momentum shifts → Confirms impulse quality 📌 Trade only when all three align. 🧠 Important Notes • Signals are non-repainting (bar-close confirmed) • Designed for discretionary trading, not automation • Works best on 5m – 15m – 1h timeframes • Crypto, Futures, and FX friendly ⚠️ Disclaimer This indicator is for educational and analytical purposes only. It does not constitute financial advice. Always manage risk and confirm with price action.
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ugurilhan2の投稿
1
Trade Decision MatrixTrade Decision Matrix (TDM) Trade Decision Matrix (TDM) is a professional-grade, multi-phase market intelligence indicator designed to assist traders in understanding market structure, regime behavior, capital confidence, and execution readiness using a systematic, probabilistic framework. This indicator does not generate trade signals. Instead, it provides a structured decision matrix similar to institutional trading desks, combining regime analytics, entropy confidence, Bayesian reliability, capital allocation logic, and scenario interpretation. 🔹 Core Architecture TDM is built using a nine-phase institutional decision pipeline: Phase 1 — Market Context Spot–future basis, volatility normalization, and structural slope detection. Phase 2 — Regime Engine Probabilistic classification of Trend, Breakout, Range, or Mean Reversion environments. Phase 3 — Orthogonal Model Cores Independent statistical, trend, breakout, and mean-reversion cores. Phase 4 — Bayesian Reliability Engine Adaptive reliability scoring for each core using Bayesian reinforcement. Phase 5 — Capital Engine Capital confidence and capital mode based on opportunity quality, regime clarity, entropy confidence, and risk filters. Phase 6 — Decision Matrix Bias, participation level, and trade quality grading. Phase 7 — Scenario Engine Contextual scenario interpretation such as Trend Expansion, Breakout Failure, Range Compression, etc. Phase 8 — Execution Gate Execution readiness filter based on capital and model alignment. Phase 9 — Reversal Engine Probabilistic reversal risk estimation using multi-factor logic. 🔹 Regime Entropy Confidence TDM uses Shannon entropy to measure regime uncertainty and converts it into a confidence score. Lower entropy = higher regime confidence. Higher entropy = unstable or transitional market state. This prevents over-confidence in noisy conditions. 🔹 Institutional Commentary Engine A professional commentary layer interprets all internal engines and outputs institutional-style guidance such as: • Institutional Alignment • Capital Protection Mode • Regime Uncertainty • Momentum Continuation • Structural Breakout • Volatility Coiling • Reversal Risk Elevated This commentary is designed for situational awareness, not signal generation. 🔹 Dashboard The dark-theme dashboard provides a compact institutional decision panel: • Regime • Entropy Confidence • Scenario • Bias • Strength • Capital Confidence • Capital Mode • Trade Quality • Execution State • Commentary • Reversal Risk All values are color-coded with heat shading for instant visual interpretation. 🔹 How To Use TDM is best used as a decision support layer alongside your own trading strategy. Typical workflow: Identify regime and entropy confidence. Observe capital confidence and capital mode. Check scenario and bias alignment. Confirm execution readiness. Monitor reversal risk before entering or holding positions. This tool is ideal for: • Intraday traders • Swing traders • Options traders • Index traders • Systematic discretionary traders 🔹 Important Notes • This indicator does NOT produce buy/sell signals. • It is a decision intelligence framework. • It should not be used as a standalone trading system. • Always apply personal risk management. 🔹 Disclaimer This indicator is provided for educational and informational purposes only.It does not constitute financial advice or investment recommendations.Trading involves risk. Users are responsible for their own trading decisions.
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Market_Logic_Indiaの投稿
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble Executive Summary: The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms. Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail. This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics. 1. The Core Philosophy: Why "Slope" Matters: In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope. This script introduces a novel approach: Slope Fitting. Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?" The Dual-Functionality of the Normalized Oscillator The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously: Directional Bias (The Slope): When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights. Overbought / Oversold (OB/OS) Identification: Because the output is mathematically clipped and normalized: Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion. Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone. Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift. 2. The "Mixture of Experts" (MoE) Architecture: Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes. This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome. The 13 "Experts" Inside the Code: All algorithms have been engineered to be Non-Repainting. Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth. Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points. Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points. Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs. Coppock Curve: A momentum indicator originally designed for long-term market bottoms. Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles. MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns. Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies. Hilbert Transform: Measures the instantaneous position of the cycle. Autocorrelation: measures the correlation of the current price series with a lagged version of itself. SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting). Wavelet (Simplified): Decomposes price into approximation and detail coefficients. EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory. 3. The Adaptive "GBM" Learning Engine This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart. How it works: Fitting Window: On every bar, the system looks back 20 days (configurable). Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price. Directional Bonus: It checks if the algorithm is pointing in the same direction as the price. Weight Optimization: Algorithms that match the price direction and correlation receive a higher "Fit Score." Algorithms that diverge from price action are penalized. A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively. The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top. 4. How to Read the Interface: The visual interface is designed for maximum information density without clutter. The Dashboard (Bottom Left - GBM Stats) Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise. Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend). Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision. The Matrix (Bottom Right - Weight Table) This table lifts the hood on the engine. Fit Score: How well this specific algo is performing right now. Corr/Dir: Raw correlation and Direction Match stats. Weight: The actual percentage influence this algorithm has on the final line. Cycle: The current value of that specific algorithm. Regime: Identifies if the consensus is Bullish, Bearish, or Neutral. The Chart Overlay The Line: The Gradient-Colored line is the Weighted Ensemble Prediction. Green: Bullish Slope. Red: Bearish Slope. Triangles: Zero-Cross signals (Bullish/Bearish). "STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum. Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down). 5. Trading Strategies: A. The Slope Reversal (OB/OS Fade) Concept: Catching tops and bottoms using the -1/+1 normalization. Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8). Trigger: The entry is taken not when it hits the level, but when the Slope flips. Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative). Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive). B. The Zero-Line Trend Join Concept: Joining an established trend after a correction. Signal: Price is trending, but the Cycle pulls back to the Zero line. Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend. C. Divergence Analysis Concept: Using the "Fit Score" to identify weak moves. Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High. Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning. 6. Technical Configuration: Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability. GBM Learning Rate (Default: 0.25): Controls how fast weights change. High (>0.3): The system reacts instantly to new behaviors but may be "jumpy." Low (<0.15): The system is very smooth but may lag in regime changes. Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains. Slope Lookback: The period over which the slope (velocity) is calculated. 7. Disclaimer & Notes: Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals. Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box. Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management. Author's Note The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream. If you find this tool useful, please leave a Boost and a Comment below!
Pine Script® インジケーター
jaydesaiguの投稿
Quality-Controlled Trend StrategyOverview This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management. Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior. All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution. Design intent Many scripts mix entries and exits in ways that make results fragile or misleading. This strategy focuses on structural clarity by enforcing: confirmed-bar logic only fixed and transparent risk handling consistent indicator calculations one position at a time It is intended as a baseline framework rather than an optimized system. Trading logic (high level) Trend context EMA 50 vs EMA 200 defines directional bias Entry Price alignment with EMA 50 RSI used as a momentum confirmation, not as an overbought/oversold signal Risk management Stop-loss based on ATR Fixed risk–reward structure Risk logic is isolated from entry logic Editing risk without affecting signals All stop-loss and take-profit calculations are handled in a dedicated block. Users can adjust: ATR length stop-loss multiplier risk–reward ratio without modifying entry conditions. This allows controlled experimentation while preserving signal integrity. Usage notes Results vary by market, timeframe, and volatility conditions. This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
Pine Script® ストラテジー
AIScriptsの投稿
Precision Trend Signal V5Strategy Logic OverviewThis indicator is a "Triple-Confirmation" trend-following system. It combines volume-weighted smoothing, immediate price action, and momentum filtering.1. Core ComponentsEMA 1 (The Trigger): Since the period is set to 1, this represents the raw price action. It acts as the fastest possible trigger to capture entries at the exact moment a trend shifts.SALMA (The Baseline): This is a double-smoothed moving average. It provides a stabilized support/resistance line that filters out market noise better than a standard SMA.Tillson T3 (The Trend Filter): Known for its low lag and extreme smoothness. We use this as a "Guardrail." We only take BUY signals when price is above the T3 and SELL signals when price is below it.RSI (The Momentum Filter): Ensures that we only enter a trade when there is sufficient strength ($> 50$ for Long, $< 50$ for Short).2. Signal Rules🚀 BUY SignalA green BUY label appears when:Crossover: EMA 1 crosses above the SALMA line.Trend: The current price is trading above the Tillson T3 line.Momentum: RSI is greater than 50.🔻 SELL SignalA red SELL label appears when:Crossunder: EMA 1 crosses below the SALMA line.Trend: The current price is trading below the Tillson T3 line.Momentum: RSI is less than 50.3. Execution & ManagementTake Profit (TP): Based on your preference, the suggested target is 2%.Alerts: The script includes alertcondition functions. You can set up TradingView alerts to send Webhooks to your quant infrastructure or bot, solving the "manual execution" problem you mentioned.
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Oguzbey07の投稿
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow - |K| |A| |E| |F| KAE Flow is a quantitative trend-aggregation engine designed to determine the dominant market bias by fusing three distinct market dimensions: Volatility, Trend Strength, and Volume. This script does not rely on a single metric. Instead, it creates a composite "Flow" score derived from the Daily timeframe to act as a high-level bias filter for intraday or swing trading. 1. The Quantitative Logic (The Engine) The core of this indicator is the KAE Engine, which polls data from the Daily timeframe (by default) to ensure you are always trading in alignment with the macro trend. It aggregates three logical components: K (Keltner Channels): Measures Volatility Breakouts. Logic: Returns bullish if price closes above the Upper Channel, bearish if below the Lower Channel. This captures the expansion phase of price action. A (Aroon): Measures Trend Age & Strength. Logic: Returns bullish only if the Aroon Up is > 70 and dominating the Aroon Down. This ensures the trend is not just present, but mathematically strong. E (Elder’s Force Index): Measures Volume-Weighted Momentum. Logic: Uses volume pressure to confirm price moves. Positive smoothed force indicates bullish accumulation. 2. Signal Processing (ALMA) Raw data is noisy. The KAE Flow takes the aggregated raw score from the components above and runs it through an ALMA (Arnaud Legoux Moving Average). Why ALMA? It offers the best balance between smoothness and responsiveness, removing "false flips" in the trend bias while reacting quickly to genuine reversals. The Color (The Bias): Deep Blue: Strong Bullish Flow (KAE Score > 0.1). Look for Long entries . White: Strong Bearish Flow (KAE Score < -0.1). Look for Short entries. Gray: Neutral/Transition. Volatility is contracting or the trend is conflicting. 5. Settings & Configuration Keltner/Aroon/EFI Lengths: Fully customizable to fit different asset classes (Crypto vs. Forex). Active Smoothing: Toggle ALMA on/off. Active Components: You can toggle specific engines (K, A, or E) on or off. Default uses Keltner + Aroon for a pure Price/Time analysis. Risk Warning: This indicator pulls higher-timeframe data (Daily) to color lower-timeframes. While this provides a powerful macro view, be aware that closed candle data is used to prevent repainting issues in real-time. D_Quant --- Trade With Discipline
Pine Script® インジケーター
D_QUANTの投稿
HOHO Oscillator Squeeze With Goldilocks Pivot FractalsDESCRIPTION: HOHO Oscillator Squeeze With Goldilocks Pivot Fractals combines three powerful technical analysis methodologies into one comprehensive momentum indicator designed for identifying high-probability trading opportunities. Core Components: 1. HOHO (Hump Oscillator) Multi-timeframe momentum analysis using dual oscillators (fast and slow) to identify market momentum shifts. The histogram colors change based on momentum direction and strength, providing clear visual cues for trend changes. 2. Squeeze Detection Bollinger Bands and Keltner Channel compression analysis identifies periods of low volatility (squeeze conditions) that often precede significant price moves. Yellow dots on the zero line indicate active squeeze conditions. 3. Goldilocks Pivot Fractals Williams Fractals-based reversal detection identifies significant swing highs and lows. BUY and SELL signals are dynamically positioned to "hug" the histogram, providing clear entry and exit signals at major turning points. Key Features: - Dynamic Signal Positioning: Arrows and text automatically adjust to histogram height for optimal visibility - Customizable Visual Elements: Full control over colors for arrows, text, squeeze dots, and histogram - Multiple Alert Options: Configurable alerts for fractals, squeeze events, and momentum shifts - Adjustable Sensitivity: Fractal periods can be tuned for different trading styles (lower = more signals, higher = fewer signals) - Paint Bars Option: Optional bar coloring based on fast or slow oscillator momentum - Non-Repainting: All signals are based on confirmed price action - Independent Spacing Controls: Separate BUY and SELL text spacing for perfect visual balance How to Use: Entry Signals: - BUY arrows appear below histogram at swing lows (bullish fractals) - SELL arrows appear above histogram at swing highs (bearish fractals) - Best entries occur when squeeze releases coincide with fractal signals Momentum Confirmation: - Green histogram = bullish momentum - Red histogram = bearish momentum - Lighter shades indicate weakening momentum - Darker shades indicate strengthening momentum Squeeze Conditions: -Yellow dots = Volatility compression (squeeze active) - Gray dots = Normal volatility (no squeeze) - Watch for squeeze release followed by directional move HOHO Settings: - Adjustable MA lengths and types (EMA/SMA) - Customizable smoothing parameters Goldilocks Fractals: - Fractal Periods: Sensitivity control (default: 2) - Arrow Spacing: Distance from histogram (default: 2.0) - BUY Text Spacing: Distance from BUY arrow (default: 1.7) - SELL Text Spacing: Distance from SELL arrow (default: 0.8) - Toggle arrows and text independently Visual Customization: - Arrow colors (bullish/bearish) - Text colors (BUY/SELL) - Squeeze dot colors (ON/OFF) - Dot size adjustment Alerts: - Bullish/Bearish fractal detection - Squeeze start/release - Momentum shift crossovers Best Practices: - Trend Alignment: Use on higher timeframes (15m+) for more reliable signals - Confluence: Combine fractal signals with momentum direction for higher probability trades - Risk Management: Place stops beyond the fractal high/low that triggered the signal - Squeeze Strategy: Wait for squeeze release before taking directional positions - Filter Signals: Increase fractal periods (10-20) to focus only on major turning points Recommended Timeframes: - Scalping: 5m-15m (fractal periods 2-5) - Day Trading: 15m-1H (fractal periods 5-10) - Swing Trading: 4H-Daily (fractal periods 10-20) Important Notes: This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management. Trading involves substantial risk of loss.
Pine Script® インジケーター
NPR21の投稿
2
RSI MTF Table (Threshold Colors + Direction Arrows) [v6]Sometimes I want to know what other timeframes are indicating for the RSI so I borrowed from another indicator and created this script. Since I swing trade, I have the timeframes set higher, but you can adjust them to your needs in the settings. Each pane is color coded light green below 50, and pink above 50. Then you can define your own thresholds but the defaults are Red above 70, and Dark Green below 30. The colors can be adjusted to your needs. The top of each pane is its timeframe, then the RSI value for that timeframe. Then I check the current bar against the prior bar to see if the current value is higher (Up Arrow) or lower (Down Arrow) so that you know which way the RSI is moving. The position on your chart can be changed to your needs. This keeps the momentum in perspective for me. I hope it helps you. Good luck in your trading.
Pine Script® インジケーター
cpolaritz2の投稿
EMA Angle Average by Eric ValerianoThis indicator determines market direction by calculating the angle of an exponential moving average and smoothing that angle over several bars. By averaging the EMA’s slope, it reduces noise and clearly classifies the market as bullish, bearish, or neutral based on trend strength rather than short term price fluctuations. It is best used as a trend filter to confirm direction, avoid choppy conditions, and add context to entries based on other signals such as pullbacks, breakouts, or momentum setups.
Pine Script® インジケーター
ericvalerianoの投稿
Vix FIX dotsDescription Vix FIX Dots is a momentum and volatility-based trend-following tool. It combines the classic Williams VIX Fix logic with Stochastic and RSI filters to identify high-probability reversal points and trend exhaustion. Unlike the standard VIX Fix which is often displayed in a separate pane, this script overlays signals directly onto your chart as colorful dots to simplify the decision-making process. How it Works The script calculates the "Synthetic VIX" (Williams VIX Fix) to find market bottoms and volatility peaks. To reduce noise and false signals, it incorporates price action filters and trend-strength lookbacks. Signal Guide The indicator plots four distinct types of dots: Green Circle (Below Bar): Filtered Long Entry. This represents a standard buy signal where volatility has peaked and price action confirms a move up. Blue Circle (Below Bar): Aggressive Long Entry. A faster signal for traders looking to catch a move earlier, based on multi-candle lookbacks. Red Circle (Above Bar): Filtered Exit/Short. Indicates a standard trend exhaustion point. Orange Circle (Above Bar): Aggressive Exit/Short. A faster signal indicating the trend may be rolling over. Key Features Volatility Bands: Uses Bollinger Bands and Percentile calculations on the VIX Fix to identify extreme exhaustion. Price Action Filter: Signals only trigger if the current close outperforms a user-defined number of previous bars. Customizable Lookbacks: Fully adjustable settings for Stochastic and RSI filters to match your specific timeframe (M5, H1, D1, etc.).
Pine Script® インジケーター
ecowolfrbの投稿
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY/SELL signals using machine learning classification - Displays kernel regression estimate for trend visualization - Shows prediction values on each bar - Provides trade statistics (Win Rate, W/L Ratio) - Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Lorentzian Distance Calculation】 Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation: d = Σ log(1 + |xi - yi|) This provides: - Better handling of outliers - More stable distance measurements - Reduced sensitivity to extreme values 【Feature Engineering】 The classifier uses up to 5 configurable features: - RSI (Relative Strength Index) - WT (WaveTrend) - CCI (Commodity Channel Index) - ADX (Average Directional Index) Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions. 【k-Nearest Neighbors Classification】 1. Calculate Lorentzian distance between current bar and historical bars 2. Find k nearest neighbors (default: 8) 3. Sum predictions from neighbors 4. Generate signal based on prediction sum (>0 = Long, <0 = Short) 【Kernel Regression】 Uses Rational Quadratic kernel for smooth trend estimation: - Lookback Window: 8 - Relative Weighting: 8 - Regression Level: 25 【Filters】 - Volatility Filter: Filters signals during extreme volatility - Regime Filter: Identifies market regime using threshold - ADX Filter: Confirms trend strength - EMA/SMA Filter: Trend direction confirmation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15M, 1H, 4H, Daily - Neighbors Count: 8 (default) - Feature Count: 5 for comprehensive analysis 【Signal Interpretation】 - Green BUY label: Long entry signal - Red SELL label: Short entry signal - Bar colors: Green (bullish) / Red (bearish) prediction strength 【Trade Statistics Panel】 - Winrate: Historical win percentage - Trades: Total (Wins|Losses) - WL Ratio: Win/Loss ratio - Early Signal Flips: Premature signal changes 【Filter Recommendations】 - Enable Volatility Filter for ranging markets - Enable Regime Filter for trend confirmation - Use EMA Filter (200) for higher timeframes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Original Lorentzian Classification concept and MLExtensions library by jdehorty. Enhanced with visual modifications and alert integration by EduVest. License: Mozilla Public License 2.0
Pine Script® インジケーター
EduVest_doroの投稿
DEMA MACD BUY signal confirmationDEMA MACD – Trend Continuation Signals Okay I made this script and wrote this description using AI. I was inspired by the HAP MACD indicator so I made signal confirmation indicator based on that. This indicator is a momentum-based signal tool built around a DEMA MACD model. It is designed to help identify potential continuation entries within an existing trend. Important notes This indicator works best in clear uptrend conditions. It is not suitable for consolidation or downtrend markets. Higher timeframes (Daily / Weekly) generally provide more reliable signals than lower timeframes. Signals BUY Indicates a potential entry in the direction of the current trend. SELL Indicates an exit from the previous BUY. This is not a short or sell-to-open signal. Usage Use this tool as a confirmation, not as a standalone decision maker. Always consider overall market context and basic price structure. Risk management is essential. This indicator is shared for educational purposes and reflects one possible approach to trend continuation trading.
Pine Script® インジケーター
bilguutの投稿
2
Guac's MAs, BBs, and ADX (SMA/EMA/BB + ADX/DI + Daily ATR)As someone who browses through numerous TradingView scripts, I find many ideas/functions that I find useful. However, sometimes I find certain features that I don't find useful or that could be added to make something more useful. Because of this I designed this script to collectively encompass functionality of the items/indicators I find useful when looking at an index/equity chart. This script was desgined/inspired to keep the chart clean while providing signal context for trend, volatility, price action, and regime conditions. Summary of what this script does: Plots a compact, customizable set of SMAs + EMAs for structure and trend layering. Adds Bollinger Bands with expansion/contraction coloring to visualize volatility state. Optionally overlays ADX/DI regime context, including: • an ADX-based “regime fill” (temperature-style colors) on the BB fill • optional DI+ / DI- cross markers for directional shift awareness • expanded ADX regime labels (Dead Chop → Very Strong/Extended) • optional “ADX momentum” (smoothed ADX slope) in the status label to show regime acceleration/decay Provides a small corner “Regime Status Label” that summarizes ADX regime (with numeric ADX) when enabled. Optionally appends Daily ATR (value + momentum) to the same label for range/volatility context that is consistent across intraday timeframes. I always find it frustrating when I am testing or playing with someones indicator and they don't have tooltips implemented so that I can understand the purpose of their parameters and the inputs. I have specifically tried to implement tooltip info bubbles next to every parameter input to give a short explanation of the parameter and it's purpose
Pine Script® インジケーター
ExtraGuacAMの投稿