Mulakan

Moving Average Convergence / Divergence (MACD)

MACD-V (Volatility Normalized MACD)Award-Winning Momentum Indicator by Alex Spiroglou (CMT Charles Dao Award & NAAIM Founders Award, 2022) The classic MACD has powered trading decisions for decades, but it suffers from five major limitations that undermine consistency: 1- Readings are not comparable over time (absolute price dependency causes massive scale differences across decades) 2- Not comparable across markets or assets (e.g., stocks vs. forex vs. crypto) 3- No universal overbought/oversold levels 4- Excessive whipsaws in low-momentum/range-bound conditions 5- Lagging signals in high-momentum reversals (e.g., missing big chunks of V-shaped recoveries) MACD-V solves all five issues by normalizing momentum against volatility instead of price. Core Formula MACD-V = (EMA(12) - EMA(26)) / ATR(26) × 100 This expresses momentum in units of Average True Range (ATR), creating a volatility-adjusted oscillator that remains mathematically meaningful and comparable: -Analysts can use MACD-V across any timeframe: -Across any asset class (stocks, forex, commodities, bonds, crypto) -Over decades of history Key Features & Benefits Time-stable & cross-market comparable: A +100 reading today has the same meaning as +100 in the past years, regardless of asset or price level. Universal extremes: ±150 captures ~95% of all readings across markets → extreme/stretched momentum. Momentum Lifecycle Roadmap (objective framework): +150 or < -150: Extreme / overstretched (high reversal risk) +50 to +150 or -50 to -150: Strong directional momentum (rallying, retracing, rebounding, reversing) -50 to +50: Neutral / low momentum / ranging (avoid most signals — high whipsaw zone) Range Rules for regime context: In bullish regimes (price > 200 EMA), -50 to -150 becomes the practical oversold zone; readings below -100 are rare and often powerful buy setups. Opposite in bearish regimes. Improved signal quality: Filter whipsaws in neutral zone, anticipate lag in extremes, prioritize high-probability crosses in strong-momentum bands. MACD-V Histogram (MACD-VH): Normalized short-term momentum with extremes at ±40 for fast reversal detection. Backtesting & strategy-friendly: Enables reliable historical analysis, cross-asset relative strength, and systematic rules MACD-V transforms momentum from subjective art into objective, repeatable science — giving you consistent, actionable insights no matter what you're trading. Use it standalone or layer with trend filters (e.g., 200 EMA), volume, or price action for even stronger edges. Developer: Alex Spiroglou Open-source versions inspired by his work — feel free to fork and improve! Happy trading! 🚀
Penunjuk Pine Script®
oleh KivancOzbilgic
11
Dual-Scale MACDDual-Scale MACD is a dual-timeframe momentum indicator that displays a scaled short-term MACD together with a long-term MACD in the same pane. The short-term MACD can be amplified by a configurable scale ratio, allowing its momentum structure to be visually aligned with the long-term MACD. All EMA parameters are fully configurable, making this indicator suitable for experimentation with multi-cycle momentum resonance. Features Two independent MACD systems (short-term + long-term) Fully configurable EMA parameters Adjustable scale ratio for visual alignment Clean histogram + top-layer signal line Use cases Multi-cycle momentum comparison Trend confirmation & divergence analysis Studying MACD resonance across time scales This indicator is intended for analytical and educational purposes.
Penunjuk Pine Script®
oleh flyingcow8
Ghost Shadow [Bit2Billions]📌 Ghost Shadow — MACD Percentile Momentum Engine Ghost Shadow is a closed-source momentum indicator built around a non-standard MACD normalization method designed to solve a core limitation of traditional MACD tools: raw MACD values are not comparable across markets, timeframes, or volatility regimes. Standard MACD relies on absolute histogram and signal values. This causes momentum readings to vary widely between instruments, making overextension, divergence, and exhaustion difficult to interpret consistently. Ghost Shadow replaces raw MACD interpretation with a percentile-ranked MACD distribution model, allowing momentum to be evaluated relative to its own historical behavior, not fixed or absolute values. 📌 Core Calculation Method (Non-Standard MACD Logic) Instead of using raw MACD values directly, Ghost Shadow applies: * Rolling MACD distribution analysis * Percentile ranking of MACD and signal values * Volatility-aware normalization of momentum extremes This means: * Momentum strength is measured by how extreme current MACD behavior is relative to its own history * Overextension and compression are defined statistically, not visually * MACD behavior becomes consistent across assets and timeframes This calculation approach cannot be reproduced using built-in MACD alone, which provides no percentile context or distribution awareness. 📌 Reason for Mashup (Why Multiple Components Exist) Ghost Shadow combines MACD structure, divergence analysis, stochastic confirmation, and candle pressure because percentile-normalized momentum must be validated structurally. Percentile MACD alone defines momentum intensity, but: * Divergence defines momentum failure * Stochastic defines short-term pressure alignment * Candle structure defines acceptance or rejection * Supply/demand pressure defines directional follow-through All components exist to interpret percentile MACD behavior, not to operate independently. This is not a convenience mashup — it is a single momentum model expressed through multiple validations. 📌 How the Components Work Together All modules reference the same percentile-normalized MACD state: 1. Percentile MACD Core evaluates momentum strength relative to historical MACD distribution. 2. MACD Structure & Swing Engine defines momentum swings using normalized MACD behavior instead of raw crossings. 3. Divergence Engine compares price swings against percentile-ranked MACD swings using past-data pivots only (non-repainting). 4. Stochastic Momentum Layer confirms short-term pressure relative to percentile MACD regime. 5. Candle Pressure & Supply/Demand Context validates whether percentile extremes are being accepted or rejected. 6. Dashboard Layer summarizes all internal states into a contextual momentum bias. Because every component references the same normalized MACD logic, signals confirm or invalidate each other instead of conflicting. 📌 What Problem This Script Solves Ghost Shadow is designed for traders who struggle with: * MACD behaving differently across markets * No clear definition of MACD overextension * Divergences appearing inconsistently * Momentum tools contradicting each other * Chart clutter from stacking multiple oscillators By using percentile-normalized MACD logic, Ghost Shadow provides: * Consistent momentum interpretation * Statistically defined exhaustion and expansion * Structural divergence validation * Clear momentum context without indicator overlap 📌 How Traders Use Ghost Shadow Ghost Shadow is not an automated signal tool. Traders use it to: * Evaluate momentum expansion vs exhaustion * Identify statistically significant MACD extremes * Confirm divergence quality * Align momentum across timeframes * Filter continuation vs pullback conditions All outputs are designed for contextual decision-making, not entries. 📌 Why This Script Is Original Ghost Shadow does not modify MACD visually — it redefines how MACD is interpreted. Originality comes from: * Percentile-based MACD evaluation * Distribution-aware momentum logic * Structural divergence validation * Unified momentum state shared across all modules This approach cannot be achieved by combining public MACD indicators or built-in tools. 📌 Why This Script Is Invite-Only Ghost Shadow is offered as a closed-source script because its value lies in the normalization and distribution logic, not the visual elements. It replaces: * Multiple MACD variants * Standalone divergence scripts * Manual momentum interpretation * Multi-timeframe MACD comparison tools This level of consistency and normalization requires proprietary logic and is therefore provided as an invite-only indicator. 📌 Key Features • Normalized Adaptive MACD Percentage-based MACD with dynamic overbought/oversold shading for stable momentum context across assets. • Heikin-Ashi MACD Candles Smooth, noise-reduced candle representation for clearer swing identification. • Stochastic Candles & Signals OB/OS highlights, adaptive zone shifts, and real-time divergence detection. • Divergence Engine Flexible detection of: * Regular Divergence (bull & bear – dashed lines) * Hidden Divergence (bull & bear – dotted lines) * Live developing divergences using past-data only (no lookahead) • Multi-Module Dashboard A structured overview of everything happening on the chart in one place. 📌 Dashboard Metrics 📌 MACD Bias Directional momentum & trend strength from the normalized MACD engine. 📌 Stochastic Bias Short-term momentum read with OB/OS sensitivity. 📌 Candle Pattern Detection (70+ patterns) Doji, Morning/Evening Star, Shooting Star, Hammer, Bearish/Bullish Engulfing, Harami, Piercing Line, Hanging Man, Spinning Top, Dark Cloud Cover, Raindrop/Doji, Tweezer Top/Bottom, Tower patterns, Inside/Outside Bar, Three Line Strike, Three White Soldiers, Three Black Crows, Marubozu, Tasuki patterns, Rising/Falling Three Methods — and many more. 📌 Body/Wick/Volume Ratios Automatic interpretation of candle sentiment through proportional body/wick/volume analysis. 📌 Demand & Supply Strength Real-time scoring of active candle pressure and MA-based supply/demand bias. 📌 Directional Bias Aggregated long/short *lean* using combined momentum, divergence, and structure inputs. *This is a contextual bias, not an automated signal.* Higher-Timeframe Metrics * HTF Trap Levels & Scoring * HTF Volume Conditions * HTF Price Action Alignment * Quick HTF Bias Reads 📌 Market Summary Consolidated sentiment, structure, and volatility status into one panel. 🔹 How Modules Work Together (Conceptual Overview) Ghost Shadow uses a structured pipeline: 1. Normalized MACD builds the base momentum landscape. 2. Swing Structure is read internally to anchor divergences and zone shifts. 3. Divergence Engine compares MACD/Stoch swings vs price swings using past pivots only. 4. Adaptive OB/OS Zones adjust to volatility using dynamic scaling. 5. Dashboard aggregates all module outputs into a unified directional lean for interpretation. This ensures each module references the same internal logic rather than acting as separate uncorrelated tools. 📌 Visual Design & Chart Clarity * Only essential real-time labels shown. * All historical/replayed labels disabled to maintain chart cleanliness. * Consistent color-coded visuals for divergence, momentum zones, and pattern signals. * Shapes, line-styles, and colors remain organized for fast interpretation. 📌 Divergence Lines * Regular Divergence: Dashed Green/Red * Hidden Divergence: Dotted Green/Red 📌 Inputs & Settings * Clean layout with simple Show/Hide toggles * Pre-configured defaults * Minimal exposed fields for ease of use * Designed to reduce setup time and improve workflow speed 📌 Recommended Timeframes & Markets * Best on 15m, 1H, 4H, Daily, Weekly * Works across forex, crypto, indices, commodities, equities * Pivot-based structures may show noise on illiquid assets 📌 Performance & Limitations * Heavy modules may draw many objects → disable unused sections * If the chart stops loading objects, simply refresh * All TradingView platform limitations handled internally 📌 License & Legal * Proprietary © 2025 * Redistribution, resale, or sharing of internals is prohibited * Independently developed; uses only public-domain trading concepts * Any resemblance to other tools is coincidental and concept-based only 📌 Respect & Transparency * Built fully on public, widely known trading concepts * No code reused or copied; all logic developed independently * If any similarity is noticed, it can be addressed constructively 📌 Disclaimer * For education and analysis only * Not financial advice * Market risk is real — always backtest and manage risk properly 📌 FAQs * Source code is not public * Works best on 15m, 1H, 4H, Daily, Weekly * All modules individually toggleable * Alerts can be set manually * Compatible with forex, crypto, indices, commodities, and equities 📌 About Ghost Trading Suite Author: BIT2BILLIONS Project: Ghost Trading Suite © 2025 Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow Strategies: Ghost Robo, Ghost Robo Plus Pine Version: V6 The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time. The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking. Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively. This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis. Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks! 📌 Changelog v1.0 – Core Release * Introduced Normalized Adaptive MACD with percentage-based zones and overbought/oversold shading. * Added Heikin-Ashi style MACD candles for smoother swing visualization. * Implemented Stochastic Candles with dynamic zones and divergence detection. * Added Real-Time Divergence Engine for MACD and Stochastic (regular, hidden, live). * Integrated Automated Candle Pattern Recognition with 70+ patterns. * Added Body/Wick/Volume Ratio Metrics for long/short market analysis. * Implemented Demand & Supply Strength Analysis (current candle & moving average-based). * Added Directional Predictions for long and short positions. * Developed Higher-Timeframe Analysis Modules with traps, volume, alignment, and quick signals. * Added Comprehensive Dashboard summarizing momentum, patterns, HTF traps, and actionable market status.
Penunjuk Pine Script®
oleh bit2billions
Mean Reversion [SIMI]This mean reversion indicator identifies extreme price deviations from the mean, providing high-probability reversal signals. Designed for confluence-based trading, it works best when combined with complementary indicators such as VWAP, price action, and volume analysis. 📊 Core Features Signal Types Prime Signals (Bright Green/Red Dots): Extreme reversions usually beyond ±1.5 SD - highest probability setups (you can customise this zone!) Regular Signals (Dark Green/Red Dots): Standard reversions - moderate probability Leader Line (Pink Dotted): Early warning indicator for potential reversals Histogram Weakness: Momentum divergence signals Normalisation Methods: Institutional Hybrid (Z-ATR) (Recommended): Volatility-adjusted Z-score - adapts to changing market conditions Percentile Ranking: Statistical ranking - excellent for ranging markets PPO + ATR Hybrid: Percentage-based with volatility adjustment Efficiency Ratio: Trend-strength weighted ATR: Pure volatility-based None: Raw Z-score ⚙️ Quick Setup Guide 1. Institutional Presets Pre-configured parameter sets optimised for different timeframes: 5M Day Trading (5/21/5): Intraday scalping 1H Options Trading (6/24/5): Options-focused setups 1D Monthly Cycle (5/20/5): Swing trading 2. Signal Filtering Prime Thresholds: Adjust ±1.5 SD to control signal quality (tighter = fewer, higher quality, adjust this zone per asset traded) Dot Filters: Fine-tune entry zones (-0.03/+0.03 default - this ignores noisy signals near Zero line) Volume Filter: Enable to require volume confirmation (1.4x average recommended, but fine tune yourself) 3. Advanced Filters Dynamic SD Thresholds: Auto-adjusts for volatility regimes (tighter in low vol, wider in high vol) Time of Day Filter: Avoids first 30 minutes, last 15 minutes, and lunch hour (11:30-13:00 EST) 💡 Trading Strategy Recommendations Optimal Usage This indicator is not intended as a standalone system. Use it for confluence alongside: VWAP (institutional positioning) Price action (support/resistance) Options flow (institutional direction) Volume analysis (conviction confirmation) Signal Interpretation Prime Signals: Wait for these for highest-probability entries - mean reversion may take hours to days Manual Entries: Don't wait for dots - trade the ±2 SD zones directly using your own confirmation Options Strategy: Prime sell signals at +2 SD make excellent short call setups; prime buy signals at -2 SD for long calls Timeframe Guidance Lower Timeframes (1M-5M): Higher noise - require additional confluence Higher Timeframes (1H-1D): More reliable signals - suitable for options and swing trades Best Results: Multi-timeframe analysis (check 1H and 4H alignment on 5M entries) 🔔 Alert System Master Alert Enable customisable alerts via the Master Alert System: Toggle individual signal types (Prime Buy/Sell, SD Crosses, Leader, Histogram) Receives bespoke messages with ticker, timeframe, and price One alert condition handles all selected signals Individual Alerts Separate alert conditions available for Prime and Regular signals if preferred. 📈 Backtesting Notes Important: Backtest results are date-sensitive and should not be the primary focus. Instead: Dial in settings visually on your chosen asset Aim for signals near actual tops and bottoms Test different normalisation methods for your specific instrument Optimise for signal quality, not backtest ROI Asset Testing: Primarily developed using SPY, QQQ, and IWM as main assets to trade. Other instruments may require parameter adjustment - mess around! Backtest Engine Entry/Exit modes (All Signals, Prime Only, Early Signals) Position sizing (percentage-based) Slippage and fill method (candle close recommended) Date range selection ⚠️ Best Practices Always use confluence - never trade on MR signals alone Start with Institutional Hybrid normalisation - most adaptive to market conditions Focus on Prime signals for quality over quantity Test on your specific asset - optimal settings vary by instrument Longer timeframes = higher reliability - 1H+ for best results Enable Time Filter on intraday charts to avoid volatile periods Use Dynamic SD in highly volatile markets (earnings, FOMC, etc.) 🛠️ Troubleshooting Too many signals: Increase Prime Thresholds or enable Volume Filter Too few signals: Decrease Prime Thresholds or reduce Dot Filters False signals: Enable Time of Day Filter and Dynamic SD Signals don't align with tops/bottoms: Try different normalisation method 📝 Feedback & Development Bug Reports: Please report any issues via TradingView comments or direct message. Strategy Sharing: I'd love to hear how you're using this indicator and what strategies you've developed. Open Source: Feel free to fork and modify this indicator. If you create an improved version, please share it with the community! 🙏 Acknowledgements Developed through AI-assisted collaboration. Special thanks to Lazy Bear for his open source MACD histogram (volume based). Open source forever - use freely, modify, and share. Happy Trading! Remember: Past performance does not guarantee future results. Always manage risk appropriately. Pandas rock \m/
Penunjuk Pine Script®
oleh simipanda
MACD Forecast [QuantAlgo]🟢 Overview The MACD Forecast extends the classic Moving Average Convergence Divergence (MACD) indicator by projecting potential future MACD line, Signal line, and Histogram values up to 20 bars ahead. Unlike traditional MACD implementations that only display historical momentum data, this indicator employs three distinct forecasting methodologies that analyze different market dimensions: price structure analysis, volume-weighted dynamics, and linear regression trends. Each method explores potential momentum trajectories from a unique analytical perspective, allowing traders to develop probabilistic expectations about future MACD behavior, anticipate signal crossovers before they materialize, and integrate forward-looking momentum analysis into their trading approach. 🟢 How It Works The indicator operates through a multi-stage calculation process that extends the MACD calculation chain forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each analyzing different market characteristics (structure breaks, volume flow, or statistical trend). These projected prices are then enhanced with configurable volatility simulation that adds realistic price-like fluctuations to the forecast, scaled by ATR (Average True Range) to ensure consistent behavior across different instruments and timeframes. The volatility control allows traders to choose between smooth projections or more realistic forecasts that mirror actual market behavior. The system processes these volatility-adjusted price projections through an iterative moving average calculation that maintains continuity with historical MA states, computing forecasted fast and slow exponential (or other MA type) values while preserving the mathematical properties of each averaging method. It then calculates the difference between forecasted fast and slow MAs to produce future MACD line values, applies the signal line smoothing to these projections, and derives the forecasted histogram (MACD minus Signal). The forecasting models adapt to market conditions by analyzing configurable lookback periods and recalculating all projections on every bar update. Traders can control the forecast horizon from 1 to 20 bars ahead. The implementation supports 10+ different moving average types (SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, ZLEMA, LSMA, ALMA, SMMA) for both the oscillator and signal calculations, creating visual continuity between historical and forecasted values displayed as semi-transparent histogram columns and dashed lines extending beyond the current bar. 🟢 Key Features 1. Market Structure Model This model applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes. The trend strength calculation compares the frequency of higher highs versus lower lows across multiple structure periods, weighting the forecast accordingly. ▶ Practical Implications: Explores potential MACD momentum behavior during structural trend continuation phases Identifies scenarios where structure breaks might influence MACD crossovers or divergences Could be useful for swing traders and position traders who incorporate market structure and price action analysis The Structure Influence parameter allows blending between pure trend following and structure-weighted momentum forecasts Helps visualize potential trend exhaustion when structure weakens or reverses while MACD remains extended May assist in anticipating false breakouts when structure contradicts MACD momentum direction Particularly relevant for traders who view MACD crossovers through the lens of swing highs/lows rather than pure price momentum 2. Volume-Weighted Model This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. The Money Flow Multiplier calculation weights each bar's volume contribution based on where the close falls within the bar's range, providing granular insight into buying versus selling pressure. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios reflected in weakening MACD momentum. ▶ Practical Implications: Incorporates volume analysis into MACD momentum forecasting Attempts to distinguish between MACD signals supported by volume versus those that may lack conviction Could be particularly relevant in markets where volume data is reliable and significant (e.g., equities, crypto, major forex pairs during active sessions) Volume Influence parameter enables adaptation to different market volume characteristics and trading activity levels Highlights potential accumulation/distribution phases that might precede major MACD crossovers or divergences May help filter low-volume price noise that creates false MACD histogram signals Could be valuable for traders who require volume confirmation before acting on MACD crossover signals May help identify volume climax patterns that sometimes coincide with MACD extremes before trend reversals 3. Linear Regression Model This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies. These projected prices feed through the MACD calculation chain (fast MA - slow MA, then signal line smoothing) to produce statistically-based momentum forecasts. ▶ Practical Implications: Delivers reproducible MACD forecasts based on statistical principles rather than discretionary interpretation Performs well in established trending markets with clear directional bias where momentum persistence is likely Minimal parameter sensitivity (primarily controlled by lookback period length) Computationally efficient with fast recalculation suitable for multi-timeframe MACD analysis Serves as a neutral baseline to compare against the more complex structure and volume methods Provides simpler momentum forecasts in low-noise environments without the assumptions inherent in structure or volume analysis 🟢 Universal Applications Across All Models Each forecasting method projects potential future MACD values (MACD line, Signal line, and Histogram), which traders can use to: ▶ Anticipate potential crossovers: Visualize possible MACD/Signal crosses several bars ahead, enabling proactive position planning rather than reactive trade execution after crossovers have already occurred ▶ Explore momentum trajectory scenarios: Assess whether current MACD histogram is likely to strengthen (increasing bars) or weaken (decreasing bars), providing insight into trend continuation versus exhaustion probabilities ▶ Plan entry timing: Identify potential optimal entry points along the forecasted momentum curve, such as entering on forecasted histogram pullbacks during strong trends or waiting for forecasted crossovers before commitment ▶ Evaluate zero-line dynamics: Monitor forecasted MACD line position relative to the zero line (bullish above, bearish below) and anticipate when momentum might shift from positive to negative or vice versa ▶ Assess divergence development: Use forecasted MACD values alongside price projections to identify potential bullish or bearish divergences before they fully develop, enabling earlier positioning ▶ Adapt to market regimes: Switch between forecasting methods based on current market character (structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments) ▶ Manage open positions: Use forecasted MACD momentum deterioration as an early warning for profit-taking or position reduction before traditional exit signals trigger ▶ Combine with other indicators: Layer forecasted MACD crossovers with support/resistance levels, volatility bands, candlestick patterns, or other indicators for multi-confirmation trade setups 🟢 Important Considerations ▶ The indicator includes extensive customization options: adjustable MACD periods (fast/slow/signal), multiple moving average types for both oscillator and signal calculations, configurable lookback periods for each forecast method, customizable forecast horizon, adjustable volatility simulation, volume spike thresholds, structure pivot lengths, influence parameters for blending forecast components, multiple color presets, adjustable forecast transparency, value labels with customizable sizing, and built-in alerts for all major MACD signal types (bullish/bearish crosses, zero-line crosses, histogram sign changes). ▶ As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can fully foresee the future price action. Most importantly, the true benefit of this script lies not in expecting precise momentum predictions but in developing a forward-thinking perspective on possible MACD behavior and planning your responses accordingly, whether that means preparing for anticipated crossovers, adjusting position sizes based on forecasted momentum strength, or avoiding trades when all three methods show conflicting projections.
Penunjuk Pine Script®
oleh QuantAlgo
2
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index. This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection. It is designed as a context-building indicator, not a standalone entry system. What This Indicator Does This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements: 1. Adaptive RSI Visualization The core RSI is plotted with: Zone-based color changes (neutral, oversold, overbought) Optional glow effects to emphasize extreme conditions User-defined color intensity and midline visibility The goal is to provide clearer visual segmentation of trend strength and momentum behavior. 2. Custom Smoothing & Signal Line Options The indicator allows: Multi-layer smoothing for RSI stability An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA) This helps operators examine whether momentum is accelerating or stabilizing relative to its mean. 3. Overbought/Oversold Tools User-defined thresholds determine: Highlighted zones Optional markers for extreme reversals (based on RSI + momentum + velocity criteria) Midline (50) cross highlights for trend-bias transitions These features help contextualize where the RSI sits relative to broader momentum regimes. 4. Divergence Detection (Optional) When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure. It compares: Price making lower lows vs RSI making higher lows (bullish) Price making higher highs vs RSI making lower highs (bearish) Detected divergences are plotted on the RSI panel with visual labels. This detection uses pivot lookbacks and range limits defined by the user. 5. Alerts The indicator provides optional alerts for: Extreme reversals Overbought/oversold momentum shifts Midline (50) crossovers Bullish / bearish divergences Alerts are intended for monitoring, not for automated execution. How to Use It This RSI modification is intended to support broader analysis workflows, including: Identifying regime shifts using midline crosses Monitoring momentum structure across trend phases Highlighting oversold or overbought clustering Adding a visual signal line to interpret momentum smoothing Spotting divergence between price and RSI As with all indicators, this tool should be used as one component of a complete analysis framework. What Makes This Version Distinct This script maintains the core behavior of RSI but introduces: A multi-layer smoothing system Adaptive colors calibrated to oversold/neutral/overbought zones Optional glow visualizations A modular signal-line engine with multiple MA types Configurable divergence detection with visual labels Multiple marker placement modes for extreme conditions These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows. Important Notes This is an indicator, not a strategy. It does not execute trades or calculate performance metrics. The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems. Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
Penunjuk Pine Script®
oleh Hash_Capital
2
Scalping Suitability Radar🔍 Scalping Suitability Radar + BUY / SELL / STAND-BY Signals What this indicator is The Scalping Suitability Radar is a decision-support indicator designed to help traders avoid low-quality scalping environments and focus only on moments when the market shows: Sufficient volatility Adequate liquidity (volume) Real momentum Meaningful trend strength Clear entry timing Instead of forcing trades in slow, choppy, or low-energy markets, this indicator answers one critical question first: “Is the market even worth scalping right now?” Only after the market is deemed scalpable does it assist with: BUY / SELL signals STAND-BY (anticipation) alerts A color-coded decision table explaining why a signal exists (or why you should stay out) 🧠 Core Philosophy Most losing scalps don’t fail because of bad entries — they fail because the market conditions were never suitable. This indicator is built around the idea that: No setup is better than a forced setup. 🧩 What the indicator evaluates (automatically) 1️⃣ Volatility (ATR % + optional Bollinger Band Width) Confirms price is moving enough to overcome: Spreads Slippage Time decay (especially for options) If volatility is too low → NO SCALP 2️⃣ Volume (Relative to recent average) Ensures liquidity is present Prevents entries during thin, slow tape Low volume = unreliable signals 3️⃣ Trend Strength (ADX) Filters out dead chop and weak direction Optional requirement that ADX is rising, not just high 4️⃣ Momentum (MACD + Histogram) Confirms energy behind price movement Histogram behavior helps anticipate crosses 5️⃣ Directional Bias (RSI + optional EMA filter) RSI confirms bullish or bearish pressure EMA filter aligns trades with short-term structure 🟢🟠🔴 Signal Types Explained 🟢 BUY / SELL Triggered only when all market conditions are suitable, plus: MACD crossover in the trade direction RSI confirms directional bias Optional EMA trend alignment These are actionable scalp entries , not predictions. 🟠 STAND-BY (Anticipation Signal) This is a unique feature designed to help you prepare before the entry fires. STAND-BY appears when: Market is already scalpable MACD line and signal line are very close and converging RSI is in range or very near range Momentum is building toward a cross What it means: “Conditions are aligning — be ready, but don’t enter yet.” This is especially useful for: Fast timeframes (30s / 1m) Options scalping Traders who want to avoid chasing late entries ⚪ NOT SCALPABLE / GRAY BACKGROUND When the background is gray: Volatility, volume, trend, or momentum is insufficient Any signals during this period should be ignored This is intentional capital preservation 📊 Decision Table (Built for Novice & Advanced Traders) The on-chart table shows, in real time: Each indicator’s current value The minimum “good” range Color-coded status: 🟢 Green = suitable 🔴 Red = unsuitable Helpful notes like: “ADX rising” “MACD near cross” “RSI near LONG range” “Stand-by confirmed” This turns the indicator into a learning tool, not just a signal generator. ⚙️ Suggested Settings by Asset Type Use these as starting points , not absolutes. 📈 Index Futures / Index CFDs (ES, NQ, DAX) Timeframes: 30s – 1m Min ATR %: 0.10 – 0.15 Min BB Width %: 0.20 – 0.30 Volume Multiplier: 1.1 – 1.2 ADX Min: 18 – 22 RSI Buy/Sell: 52 / 48 EMA Filter: ON 🧾 Index Options (0DTE SPX, ES options) Timeframes: 30s Min ATR %: 0.12 – 0.20 Min BB Width %: 0.25 – 0.40 Volume Multiplier: 1.2 – 1.4 ADX Min: 20 – 25 RSI Buy/Sell: 53 / 47 STAND-BY: Highly recommended 🪙 Crypto (BTC, ETH, majors) Timeframes : 1m – 3m Min ATR %: 0.15 – 0.30 BB Width %: 0.30 – 0.50 Volume Multiplier: 1.1 ADX Min: 17 – 20 RSI Buy/Sell: 51 / 49 EMA Filter: Optional (depends on style) 📊 Large-Cap Stocks (AAPL, MSFT, NVDA) Timeframes: 1m – 5m Min ATR %: 0.08 – 0.12 BB Width %: 0.15 – 0.25 Volume Multiplier: 1.2 ADX Min: 18 RSI Buy/Sell: 52 / 48 🧠 Best Practices Do not trade against gray background Use STAND-BY to prepare, not predict Combine with: Market structure Key levels Risk management One clean trade > ten forced trades ⚠️ Disclaimer This indicator is provided for educational and informational purposes only . This is not financial advice It does not guarantee profits or prevent losses Markets behave differently across assets, sessions, and regimes You are responsible for choosing settings that match: Your trading style Your risk tolerance The specific asset you trade Always test settings using paper trading or backtesting before using real capital.
Penunjuk Pine Script®
oleh cronus237
Manus Forex Alpha Pro Indicator (Trend-Momentum Hybrid)ใช้ AI Manus ช่วยผสมผสานให้ ใช้งานง่ายดี น่าจะไม่ต้องอธิบายนะครับ เพราะเป็นพื้นฐานการใช้งาน เพียงแต่มี แดชบอร์ด ช่วยให้อ่านง่ายขึ้น การลงทุนมีความเสี่ยง ไม่มีเครื่องมือใดคาดการณ์ถูกต้อง 100% เรียนรู้ ฝึกฝน มีวินัย ควบคุมความเสี่ยง ด้วยตนเอง Using AI Manus helps integrate it, making it easy to use. I don't think I need to explain this, as it's basic usage. The dashboard simply makes it easier to read. Investing involves risk; no tool is 100% accurate. Learn, practice, be disciplined, and manage your own risk.
Penunjuk Pine Script®
oleh kkk_mooy_in_FB
AMS Nested BandsThe AMS Nested Bands HUD is a contextual market structure tool designed to help traders understand where price is trading, not what to trade. This indicator visualizes higher-timeframe reference ranges (Macro) alongside intraday structural segments (Micro) to provide a clear, normalized view of acceptance, rejection, and regime behavior throughout the session. 🔹 What This Indicator Shows Macro Bands (PD / PM) Prior Day and Premarket high/low ranges Visual context for balance, expansion, and rejection Optional anchor lines for precise reference Micro Bands (Intraday Segments) Session-aware intraday structure Rolling, RTH-anchored, or ORB-anchored segmentation Designed to reveal short-term acceptance vs rotation Acceptance & Rejection Logic Inside vs Accepted vs Rejected states Soft vs hard rejection detection Wick-based rejection markers (optional) Normalized Context Metrics Band thickness (volatility-adjusted) Proximity scores (ATR-normalized) Inside % statistics for regime awareness HUD Summary Session state (RTH / Premarket / Off-hours) Balance vs expansion bias Macro & Micro alignment Key reference levels (PDH, PDL, PMH, PML) 🔹 How to Use It This script is not a signal generator. It is intended to: Frame trades taken with other tools or strategies Identify areas of acceptance, rejection, and transition Provide objective context for ORB, trend continuation, or mean-reversion setups Common use cases include: Opening Range Breakout context Intraday trend vs balance assessment Fade vs continuation decision support 🔹 Important Notes No entries, exits, or alerts are provided No repainting Designed for intraday equities and ETFs On lower timeframes, rolling micro segmentation may increase visual density 🔹 Recommended Pairings This indicator works best when combined with: Trend or momentum tools Execution-timeframe price action Volume or VWAP-based context Built for traders who value structure, context, and clarity over signals.
Penunjuk Pine Script®
oleh AtmosMarketSuite
MACD Colored CandlesMACD Histogram Candle Colors Overview This indicator visualizes MACD momentum directly on your candlesticks by coloring them according to the MACD histogram's state. Instead of looking at a separate MACD panel, you can instantly see momentum changes right on your price chart. How It Works The indicator calculates the standard MACD (Moving Average Convergence Divergence) and applies the histogram's color logic directly to your candles: 🟢 **Teal (#26a69a)** - Bullish momentum increasing (histogram positive and rising) 🟢 **Light Teal (#b2dfdb)** - Bullish momentum weakening (histogram positive but falling) 🔴 **Light Red (#ffcdd2)** - Bearish momentum weakening (histogram negative but rising) 🔴 **Red (#ff5252)** - Bearish momentum increasing (histogram negative and falling) Features - **Pure MACD Logic**: Uses exact MACD histogram color calculations - **Clean Chart**: No additional plots or tables cluttering your view - **Customizable Inputs**: Adjust Fast length (default 12), Slow length (default 26), and Signal length (default 9) - **MA Type Selection**: Choose between EMA or SMA for both oscillator and signal calculations - **Overlay Display**: Works seamlessly with other indicators Settings - **Source**: Price source for MACD calculation (default: close) - **Fast Length**: Period for fast moving average (default: 12) - **Slow Length**: Period for slow moving average (default: 26) - **Signal Length**: Period for signal line (default: 9) - **Oscillator MA Type**: EMA or SMA - **Signal MA Type**: EMA or SMA Best Use Cases - Quick momentum identification without switching between panels - Combining with support/resistance levels for trade entries - Identifying divergences between price action and momentum - Multi-timeframe analysis with color-coded momentum Tips - Use in combination with traditional MACD for confirmation - Color changes often precede significant price movements - Works on all timeframes and instruments - Consider pairing with volume indicators for stronger signals Credits Based on the standard MACD indicator with histogram color visualization applied to candlesticks. --- *This is an open-source script. Feel free to use, modify, and share!*
Penunjuk Pine Script®
oleh theNotecrypto
KDJ + MACDKDJ + MACD Indicator Overview A combined technical analysis tool that integrates two popular indicators: KDJ Indicator: A stochastic oscillator variant that measures momentum and overbought/oversold conditions MACD Indicator: A trend-following momentum indicator that shows the relationship between two moving averages Key Components KDJ Section K Line (Blue): Fast stochastic line D Line (Orange): Slow stochastic line (signal line) J Line (Purple): Extra momentum line (3K - 2D) Levels: 80+ = Overbought zone 20- = Oversold zone 50 = Neutral midpoint MACD Section MACD Line (Blue): Difference between 12-period and 26-period EMAs Signal Line (Orange): 9-period EMA of MACD line Histogram (Green/Red): Visual difference between MACD and Signal lines Trading Signals KDJ Buy: K crosses above D when below 30 (oversold) KDJ Sell: K crosses below D when above 70 (overbought) MACD Buy: MACD line crosses above Signal line MACD Sell: MACD line crosses below Signal line Use Cases Trend Confirmation: Use MACD for trend direction and KDJ for entry timing Divergence Detection: Spot price/indicator divergences for reversals Overbought/Oversold: Identify extreme market conditions Momentum Analysis: Gauge the strength of price movements Best For Swing traders Medium-term timeframes (4H, Daily) Confirming trend changes Filtering trade signals Note: Works best when both indicators align, reducing false signals.
Penunjuk Pine Script®
oleh migtradermexico
RSI + MACD Regime Table (Strength/Weakness,Chop,Explode,Fakeout)RSI + MACD + VWAP Regime Table Market Regime, Momentum Quality & VWAP Context This indicator is a market-state and context tool designed to help traders objectively assess trend strength, momentum quality, and consolidation risk in real time. It does not generate trade signals and does not attempt to predict price. Its purpose is to provide clear, structured information about current market conditions so traders can make better-informed decisions using their own strategies. Overview Markets alternate between: Directional trends Weakening trends Sideways consolidation (chop) Momentum expansion after compression This indicator focuses on identifying those conditions, not on telling you when to buy or sell. Indicator Components COMBINED – Market Regime Evaluates alignment between RSI and MACD to describe the broader market environment, such as: Bull trend / Bear trend Weakening directional pressure Mixed or transitional conditions Neutral / chop regimes This helps traders avoid trading against unfavorable conditions. MOMENTUM – Acceleration vs Fading Analyzes momentum behavior to indicate whether pressure is: Expanding (bullish or bearish) Fading after a move Non-expansive / flat Useful for avoiding late entries and identifying when trends are losing energy. VWAP – Contextual Reference (Display Only) Anchored VWAP is shown for contextual awareness only and does not influence RSI or MACD logic. It classifies price behavior relative to VWAP, such as: Holding above / below VWAP Reclaimed or lost VWAP Decision areas around VWAP Rejections and tests This provides a clear institutional reference level without generating signals. MACD – Momentum Quality MACD is interpreted as a momentum quality and energy tool, not a simple crossover system. It highlights: Expansion vs contraction Strength vs weakness Chop / whipsaw risk Directional pressure This reduces reliance on basic crossover interpretations. RSI – Regime & Pressure RSI is used as a regime and pressure indicator, not as an overbought/oversold trigger. It evaluates: Bullish / bearish regimes Soft vs strong pressure Compression zones Failure swings and divergence awareness This helps distinguish sustained pressure from short-term noise. Intended Use Market context and regime awareness Filtering trades rather than generating them Supporting discretionary trading decisions Applicable across timeframes and markets What This Indicator Does NOT Do Does not repaint Does not predict future price Does not generate automatic entries or exits Does not guarantee performance No indicator can replace proper risk management or sound trading judgment. Customization Adjustable table position and text size Configurable RSI and MACD parameters Multiple VWAP anchor options Clean overlay with no forced plots Final Notes This indicator is designed to describe market conditions as they are, including periods where trading may be unfavorable. It is most effective when used alongside: Price action Market structure Your existing trade plan and risk rules For educational and analytical purposes only. Always manage risk appropriately.
Penunjuk Pine Script®
oleh kiyoshin999
MACD Sticky Dots Bull & Bear **Sticky Dots – Multi-Confirmation Momentum & Trend Indicator** What is it? Dots designed to show momentum of trend, weak or strong illustrated through size and color. Certain thresholds give GREEN DOTS OR RED DOTS, when strong the dots are LARGER. Colors of candles are plotted along with Buy and Sell signals and rare reversal signals (these are all plotted based on inputs in the indicator). Along with these Dots is a moving average derived from Bollinger Bands, this acts as both support and resistance to price. Also Pivot Highs and Pivot Lows get plotted based on all these inputs and price action combined. BELOW IS MORE DETAILS **Key Visual Elements & Color/Symbol Meaning** **1. Candlestick Colors** (toggle: "Show Candle Colors") - **Bright Green** (#00FF00 shades): Price closes ≥ upper dispersion band (close ≥ disp_up). Strong bullish momentum. - **Bright Red** (#FF0000 shades): Price closes ≤ lower dispersion band (close ≤ disp_down). Strong bearish momentum. - **Yellow** (#FFEA00): Price inside the dispersion bands (neutral zone). Trend is consolidating or weak. **2. Basis Moving Average Line** (20-period EMA, toggle: "Show Price Basis MA") The thick line on price follows the same coloring logic as candles derived from thresholds that deem them bullish(green), consolidating(yellow) or bearish(red): - **Dark Green** (rgb(0,162,30)): Strong bullish - **Lime Green** (rgb(153,253,2)): Moderate bullish - **Yellow** (#FFEA00): Neutral or weak. - **Red** (rgb(243,13,13)): Bearish **3. MACD Dots/Circles** (below bars, toggle: "Show Dots") Normalized & sigmoid-compressed MACD histogram plotted as sticky dots: - **small Green Dots** MACD positive: - Solid bright green (#00FF00): Increasing momentum. - Slightly transparent green (#16FF0A): Decreasing but still bullish. - **Large Circle** (instead of small dot): Stochastic Momentum is in strong bull zone→ overbought emphasis. - **Red Dots/Circles** (condensed_histNorm < 50): - Solid bright red (#FF0000): Decreasing momentum (stronger bearish). - Slightly transparent red (#FF0707): Increasing but still bearish. - **Large Circle**: Stochastic Momentum is in strong bear zone → oversold emphasis. **4. Buy/Sell Signals** - **"B"** (green, below bar): Buy signal – confluence of all inputs in indicator in bullish state prints B - **"S"** (red, above bar): Sell signal – confluence of all inputs in indicator in bearish state prints S - **"R"** (yellow, below bar): Reversal – appears only after a completed downswing when price closes back above basis with new green dots (signals potential bottom). **5. Pivot High / Pivot Low Lines** (horizontal) DESIGNED TO FIND PIVOT TOPS/BOTTOMS - **Red horizontal line** (from swing high): Marks confirmed Pivot High during an active long (buy) position. Triggered when red circles appear after a bright red condition. - **Green horizontal line** (from swing low): Marks confirmed Pivot Low during an active short (sell) position. Triggered on fresh green circles. **6. Optional Plots** - **Outer Bollinger Bands**: Standard Bollinger bands by the Great John Bollinger. - **Dispersion Bands** (white, with translucent fill matching Trend color) **How to Read & Trade the Indicator** 1. **Overall Trend Direction** - Look at the Basis MA color first: - Green → Uptrend bias. - Red → Downtrend bias. - Yellow → Range/Consolidation. 2. **Momentum Strength** - Green dots/circles (especially large ones) = bullish momentum building. - Red dots/circles (especially large) = bearish momentum building. - Brighter dots + price outside dispersion = stronger conviction. 3. **Candle Coloring for Quick Bias** - Green candles = price in strong bullish zone. - Red candles = strong bearish zone. - Yellow = indecision/consolidation – wait for breakout. 4. **Entry Signals** - Wait for a **"B"** in a green/yellow candle context with green dots appearing. - Best entries when price is above basis and Green dots are Large - **"R"** label =potential big Reversal 5. **Exit / Reversal Management** - Active long → watch for red circles → confirmed PH line = potential exit zone. - Active short → watch for green circles → confirmed PL line = potential cover zone. - **"R"** label = early warning of possible reversal after a downswing.
Penunjuk Pine Script®
oleh MasterTonyTA
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar. Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook. The "Reverse Engineering" Concept Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD. Q: "At what price will the MACD line cross the Signal line?" A: The script solves this and draws the Green/Red "Crossover" Line. Key Features 1. Three Distinct Targets Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle. Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN. Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse. Zero Cross Target: The price needed for MACD to reclaim the Zero Line. 2. Smart "Staggered" Labels (No Overlap) Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally. Crossover info stays near the price. Settlement info is shifted to the right. Zero info is shifted further right. Result: You can read all three targets clearly, even if the prices are almost identical. 3. Full Customization Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean. Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes. Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type. How to Use The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross. Momentum Checks: Watch the Orange "Settlement" Line. If price is moving away from the Orange line, the trend is accelerating (Safe to hold). If price touches the Orange line, momentum has died (Consider taking profit). Settings Visual Settings: Change Line Length (Infinite/Short) and Text Color. MACD Settings: Standard inputs (Default 12, 26, 9). Toggles: Option to show/hide the Zero Line target.
Penunjuk Pine Script®
oleh PratikKharat1990
BTC Scalping 3m | Supertrend + MACD Squeeze (NY) [v6 FINAL]BTC 3-Minute Scalping Strategy Supertrend Bias + MACD Squeeze (New York Session) This is a fully mechanical BTC scalping strategy designed to capture short momentum bursts that occur when volatility expands in the direction of the higher-timeframe trend. The strategy combines trend confirmation, volatility compression/expansion, and strict session filtering to reduce noise and improve consistency. How It Works Trend Bias Uses a 15-minute Supertrend to define market direction. Trades are taken only in the direction of the higher-timeframe trend. Counter-trend signals are ignored. Timing & Entry Executes on the 3-minute chart. Waits for volatility compression using a LazyBear-style MACD Squeeze. Enters only when the squeeze releases and momentum turns positive. Entry occurs on candle close above the execution-timeframe Supertrend. Session Filter Trades only during the New York session (13:00–21:00 UTC). This avoids low-liquidity periods and reduces false breakouts. Risk & Exits Dynamic stop-loss placed at the execution-timeframe Supertrend. Risk is calculated using the actual filled entry price for accurate R-based exits. Primary profit target is 0.5R, optimized for scalping. Positions are exited immediately if: Price closes against Supertrend Supertrend flips direction Momentum (MACD histogram) turns negative Trades are typically short-lived (1–3 candles), keeping exposure minimal. Key Characteristics Non-repainting logic Fully rule-based (no discretion) High win-rate, low-RR scalping profile Designed for BTC futures/perpetuals Optimized for New York session volatility Usage Notes Run on BTC 3-minute charts Best results during active NY hours Performance will vary by exchange, fees, and slippage This strategy is intended for education and testing, not financial advice Summary This strategy focuses on trading volatility expansion aligned with trend, using Supertrend for structure and MACD Squeeze for timing. By restricting trades to high-liquidity hours and enforcing strict exits, it aims for consistent, repeatable scalps rather than large directional bets.
Strategi Pine Script®
oleh blood_doc
Digital MACD Divergences MTF [LUPEN]Digital MACD Divergences MTF V1.0 Overview: Digital MACD Divergences MTF is an advanced momentum oscillator based on digital signal processing techniques. Instead of relying on traditional moving-average smoothing, it applies Finite Impulse Response (FIR) digital filters to extract momentum more cleanly, reducing lag and short-term market noise. The indicator is designed to provide a clear visualization of momentum structure, divergence behavior, and multi-timeframe context, rather than discrete trading signals. Conceptual Architecture At its core, the indicator reinterprets the classic MACD framework through digital convolution logic: FIR filters are used to compute momentum in a more responsive and stable manner than standard EMA-based MACD. The resulting histogram represents momentum intensity and direction as a continuous state rather than binary conditions. A digitally smoothed signal line provides structural reference without introducing excessive delay. This approach emphasizes momentum quality and structure, not signal frequency. Divergence Detection Logic: The script includes automatic divergence detection based on pivot analysis: Regular bullish and bearish divergences are identified using confirmed pivot points. Divergences are visualized with explicit line structures and optional filled areas, highlighting the zone of disagreement between price behavior and momentum. The visualization is designed to remain readable without obscuring price action. Divergences are presented as contextual information, not as mandatory actions. Multi-Timeframe (MTF) Context Digital MACD Divergences MTF supports native multi-timeframe analysis through a dual-pane workflow: A lower-timeframe instance visualizes local momentum dynamics. A higher-timeframe instance visualizes the broader momentum regime within which lower-timeframe fluctuations occur. The higher-timeframe view is not intended as confirmation or filtering logic, but as a contextual background layer that helps interpret short-term momentum behavior inside a larger structural environment. This separation avoids decision compression and keeps each timeframe’s role conceptually distinct. Visual Design Gradient-based histogram fills represent momentum intensity in a continuous manner. Positive and negative momentum regions are clearly differentiated while remaining adaptable to both dark and light chart themes. All visual elements are designed to emphasize state and regime, not discrete events. Reliability No repainting: all divergences and momentum states are confirmed on candle close and remain fixed. Designed for consistency across instruments and timeframes. Customization Options Timeframe selection for MTF mode (leave empty to use the chart’s timeframe). Adjustable signal smoothing parameters. Divergence visibility controls, pivot sensitivity, and optional divergence fill. Fully customizable color palette. Usage Notes This indicator is a visual market analysis tool intended to support momentum interpretation and structural context. It does not provide investment advice, trading signals, or automated decision logic, and should be used as part of a broader analytical framework. Final quotes: "Trading is not about prediction, but about understanding momentum structure. Digital MACD removes noise to make that structure visible."
Penunjuk Pine Script®
oleh Horazio