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อินดิเคเตอร์และกลยุทธ์

Quant Seasonality ProQuant Seasonality Pro (QuantSeaz) Quant Seasonality Pro is a data-driven seasonal projection tool that extracts historical day-of-year return patterns and transforms them into a forward-looking price curve. Using log returns, cycle filters, and volatility-based scaling (ATR), it generates a dynamically anchored seasonal roadmap directly on your chart. The indicator allows you to switch between Trading Days (stocks/forex) and Calendar Days (crypto), apply U.S. election cycle filters, and analyze precisly historical data. The projected curve is detrended to isolate true seasonal structure and then scaled to current market volatility for realistic visualization. A built-in statistical dashboard provides: Confidence (%) based on historical win rates Expected Alpha (%) over the selected forward window ATR % (noise level) Viability ratio (Alpha adjusted for risk) This tool is designed for contextual edge — not signal automation. It helps traders align positioning with historical seasonal tendencies while maintaining proper risk management and independent confirmation. Hope you enjoy it
อินดิเคเตอร์ Pine Script®
โดย dinisfranco2006
Seasonality (100% reliable for the W)Quant Seasonality Pro (QuantSeaz) Quant Seasonality Pro is a data-driven seasonal projection tool that extracts historical day-of-year return patterns and transforms them into a forward-looking price curve. Using log returns, cycle filters, and volatility-based scaling (ATR), it generates a dynamically anchored seasonal roadmap directly on your chart. The indicator allows you to switch between Trading Days (stocks/forex) and Calendar Days (crypto), apply U.S. election cycle filters, and analyze historical data precisly. The projected curve is detrended to isolate true seasonal structure and then scaled to current market volatility for realistic visualization. A built-in statistical dashboard provides: Confidence (%) based on historical win rates Expected Alpha (%) over the selected forward window ATR % (noise level) Viability ratio (Alpha adjusted for risk) This tool is designed for contextual edge — not signal automation. It helps traders align positioning with historical seasonal tendencies while maintaining proper risk management and independent confirmation.
อินดิเคเตอร์ Pine Script®
โดย dinisfranco2006
Scientific MACD Scientific MACD v5.1 — User Guide An advanced momentum oscillator featuring eight scientifically-modeled moving average algorithms with adaptive signal generation and real-time calculation stability. Overview This indicator reimagines the traditional MACD through the lens of multiple scientific disciplines. Rather than relying on simple exponential moving averages, it offers eight distinct mathematical frameworks for calculating trend components—each derived from physics, biology, information theory, or behavioral science. The result is a highly adaptive momentum system that adjusts its sensitivity to market conditions through dynamic error-tracking and hybrid ensemble methods. Core Architecture Three-Component Structure Like the classic MACD, this indicator maintains three essential elements: Fast Line: Short-term trend component (default: 12 periods) Slow Line: Long-term trend component (default: 26 periods) Signal Line: Smoothed derivative of the MACD line (default: 9 periods) Independent Algorithm Selection Each component can use any of the eight available moving average types independently. This allows sophisticated combinations such as Wave fast + Entropy slow + Synaptic signal, creating multi-domain confirmation systems. Scientific Moving Average Models 1. Wave Mechanics MA A Fourier-inspired bandpass filter that decomposes price into harmonic components. Uses multiple sine wave harmonics (fundamental + overtones) centered around a mean price, with amplitude derived from period range. Higher harmonics receive decreasing weights. Ideal for identifying cyclical price structures and filtering noise through frequency domain analysis. 2. Thermodynamic Entropy MA Applies information theory concepts to market returns. Calculates Shannon entropy across a 5-bin probability distribution of returns, then uses entropy ratio to adapt smoothing intensity. High entropy (disorder) increases smoothing; low entropy (trending) decreases smoothing. Adds small entropy-based adjustments to center the moving average. 3. Biological Synaptic MA Implements Hebbian learning rules from neural biology. Maintains adaptive weights for recent price history that strengthen when current price movements correlate with past movements (associative learning). Weights decay exponentially with time and normalize between 0.5 and 2.0. Excels at capturing momentum persistence and regime changes. 4. Quantum Uncertainty MA Models price as a quantum superposition of states with probabilistic amplitudes. Uses Gaussian distance functions to project current price onto historical basis states, then calculates expectation values. Incorporates decoherence (mixing with previous states) for stability. Naturally handles uncertainty and provides smooth transitions between trend states. 5. Fluid Dynamics MA Treats price movement as fluid flow with Reynolds number classification. Calculates characteristic velocity, viscosity, and Reynolds number to determine flow regime. Laminar flow (low Re) uses diffusion-dominated smoothing; turbulent flow (high Re) uses advection-dominated smoothing. Includes stability clamps to prevent extreme deviations. 6. Network Cascade MA Applies epidemiological SIR (Susceptible-Infected-Recovered) models to price trends. Models trend strength as infection rate spreading through market participants. Adaptive smoothing based on active infections (trend strength) with mean reversion as recovery increases. Beta parameter derived from return surprises relative to volatility. 7. Behavioral Economics MA Incorporates Prospect Theory from psychology. Maintains an adaptation level (reference point) that updates slowly. Applies Tversky-Kahneman value functions with loss aversion (lambda = 2.25) and diminishing sensitivity (alpha = 0.88). Weights prices by psychological value rather than linear distance, emphasizing gains/losses relative to perceived anchors. 8. Hybrid Ensemble MA Combines all seven models through inverse-error weighting. Tracks exponential moving average of prediction errors for each component model, then assigns weights inversely proportional to recent error. Automatically favors whichever scientific model best fits current market conditions. Displays real-time weight distribution table when enabled. Signal Generation Quality-Filtered Crossovers Standard MACD crossovers are enhanced with statistical quality gates: Bull Signal: MACD crosses above Signal while MACD is below zero and histogram exceeds 80th percentile of recent values Bear Signal: MACD crosses below Signal while MACD is above zero and histogram below 20th percentile of recent values High-Quality Signals Additional filter requiring signal quality ratio (histogram magnitude divided by histogram volatility) to exceed 2.0. These appear as HQ↑ and HQ↓ markers, indicating statistically significant momentum shifts. Visualization Features Dynamic Color Coding MACD Line: Lime/olive when above signal (bullish), red/maroon when below (bearish) Histogram: Intensity varies with signal quality—brighter colors indicate stronger statistical significance Signal Line: Orange for clear differentiation Zero Line: Dashed gray reference Volatility Zone: Gray fill between ±1 standard deviation of MACD values Hybrid Weight Display When Hybrid MA is selected and Show Hybrid Weights is enabled, a real-time table displays current ensemble weightings for all seven component models as percentages. Updates dynamically as market conditions favor different scientific approaches. Key Input Parameters Core Settings Fast Length: Short-term lookback (2-200, default 12) Slow Length: Long-term lookback (3-500, default 26) Signal Length: Smoothing period for signal line (2-100, default 9) Scientific Parameters ZigZag Detection Depth: Influences cyclicality measures in Wave and Fluid models (3-20, default 5) Real-Time Calculation Fix: Blends calculated values with current price during unconfirmed bars to prevent repainting artifacts MA Configuration Independent algorithm selection for Fast, Slow, and Signal components. Options: Wave, Entropy, Synaptic, Quantum, Fluid, Cascade, Behavioral, Hybrid. Display Settings Toggle for Hybrid weight table visibility. Operational Workflow Select appropriate lengths for your timeframe and trading style Choose MA algorithms based on market characteristics: Trending markets: Synaptic, Cascade, or Behavioral Cyclical/ranging markets: Wave or Quantum High volatility: Entropy or Fluid Unknown regime: Hybrid (adaptive ensemble) Enable Real-Time Calculation Fix for live trading to prevent repainting Monitor standard crossovers for entry signals Prioritize HQ (High Quality) signals for lower-risk entries Use histogram color intensity to gauge signal strength When using Hybrid, monitor weight table to understand which models are currently dominant Best Practices Use longer lengths (20-50-10) for swing trading, standard (12-26-9) for day trading Combine complementary algorithms: fast Wave + slow Entropy captures cycles within noise-filtered trends Enable Hybrid during regime uncertainty—it automatically selects optimal models Disable Real-Time Calculation Fix for historical analysis, enable for live signals Watch for divergence between MACD and price while monitoring histogram quality for confirmation Volatility zone fill helps identify when MACD moves reach statistical extremes This indicator provides mathematically sophisticated trend analysis. Algorithm selection significantly impacts signal characteristics—experiment with combinations to find optimal fit for your market and timeframe.
อินดิเคเตอร์ Pine Script®
โดย Cmo22
Polynomial Regression Clustering [LuxAlgo]The Polynomial Regression Clustering indicator utilizes K-Means clustering to categorize historical price data into discrete levels and fits polynomial regression curves to each identified cluster. This tool allows traders to visualize non-linear trends within specific price regimes, providing a unique perspective on support, resistance, and price momentum. 🔶 USAGE The indicator identifies "K" number of clusters based on the vertical distribution of price over a user-defined lookback period. Each cluster represents a group of bars that share similar price levels, and a polynomial regression line is calculated to represent the localized trend for that specific group. 🔹 Cluster Identification The script groups price action into color-coded dots. By default, it uses the HL2 (Average price) to determine which cluster a bar belongs to. This is particularly useful for identifying historical value areas where price has spent a significant amount of time. 🔹 Polynomial Fitting Unlike standard linear regression, which produces a straight line, the polynomial regression curves can bend to fit the data more accurately. A Polynomial Degree of 1 will result in a standard linear regression (straight lines). A Polynomial Degree of 2 or higher allows for curves that capture parabolic moves or cyclical swings within each cluster. 🔹 Future Projections The current active cluster (the one containing the most recent price point) can be projected into the future. This allows you to see where the localized trend for the current price regime is heading based on the mathematical fit of historical data. 🔶 DETAILS 🔹 K-Means Algorithm The script uses an iterative K-Means algorithm to find the optimal centroids (center points) for the price levels. It calculates the distance of each price point to the nearest centroid and refines the centroid position until the clusters are stable or the maximum iterations are reached. 🔹 Regression Logic Once price points are assigned to a cluster, the script solves for the coefficients of a polynomial equation that minimizes the distance between the line and the cluster's data points. To ensure numerical stability with higher degrees, the horizontal (time) axis is normalized before performing matrix operations. 🔶 SETTINGS 🔹 K-Means Number of Clusters (K): Defines how many price levels the indicator should look for. Higher values create more granular levels. Lookback Period: The number of recent bars used to perform the clustering and regression calculation. Max Iterations: The maximum number of refinement steps for the K-Means algorithm. 🔹 Regression Polynomial Degree: Controls the "bend" of the regression lines. Higher degrees allow for more complex curves. Extend All Fits to Current Bar: When enabled, the regression lines for all historical clusters are extended to the rightmost edge of the chart. Project Current Cluster into Future: Extends the current regime's regression line into the future (empty space) using a dashed line. 🔹 Visual Style Show Regression Lines: Toggles the visibility of the polynomial curves. Show Cluster Dots: Toggles the visibility of the colored dots on each price bar. Dot Size: Adjusts the size of the cluster dots. Cluster Colors: Customizable colors for each of the identified clusters.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
3
Trend Matrix: Institutional Confluence EngineTrend Matrix: Institutional Confluence Engine The Institutional Confluence Engine is a professional-grade diagnostic tool designed to solve the two biggest problems in technical analysis: market noise and false breakouts. Unlike standard lagging indicators, the Institutional Confluence Engine uses a sentient resolution engine to adapt its logic based on whether you are scalping or swing trading. It provides a real-time "Efficiency Grade" for the market, allowing you to ignore "C-Grade" chop and focus exclusively on "A-Grade" institutional trends. Institutional Confluence and Alerts: Notifies you only when the Local, HTF1, and HTF2 timeframes all align at an "A-Grade" efficiency—the hallmark of a major structural move. How to Trade It Identify Confluence: Look for the Status Hub in the top right. When all three grades turn Green (A), institutional alignment is at its peak. This is also visible on the chart. Monitor Trend Core: The ribbon acts as dynamic support/resistance. "Trend Flares" (brightening of the ribbon) indicate significant volume spikes entering the trend. Profit Targets: Use the dynamic Green/Red expansion lines. These are volatility-adjusted targets that stretch or contract based on market energy (ATR). Volume Intelligence 1. The Big Money Heatmap (Volume Intelligence) Institutional players leave footprints in the form of volume. This engine visualizes these footprints using a dynamic Volume Profile integrated directly into your price action. Big Money Clusters: These are price levels where massive institutional orders are being "filled." They represent high-conviction zones that act as magnets for price. Major Buy/Sell Zones (POC): This marks the Point of Control—the exact price where the highest volume has transacted. It represents "Fair Value." Breakouts away from this zone often lead to the most explosive moves. Gap Prediction: The engine analyzes the sentiment within volume nodes to predict if the market is preparing for an institutional "Gap Up" or "Gap Down." 2. The Golden Bridge (Structural Confluence) The system calculates the Golden Bridge—a dynamic threshold based on the 0.618 Fibonacci ratio between major structural pivots. The Logic: In institutional finance, the 0.618 level is the "Line in the Sand." If a rally holds above the Golden Bridge, the trend is structurally sound. Golden Cluster Stronghold: When the Golden Bridge aligns perfectly with a Big Money Cluster, the system identifies a "Stronghold." This is the highest-probability support or resistance level generated by the engine. 3. MTF Efficiency Grading (A/B/C) The Trend Matrix doesn't just show direction; it calculates Efficiency. Grade A (High Efficiency): Price is tracking the trend core with minimal deviation. This is where institutional momentum is strongest. Grade B (Moderate Efficiency): Healthy trending with standard pullbacks. Grade C (Low Efficiency/Chop): Price is oscillating. The system will automatically "dim" the interface during these periods to prevent you from over-trading. 4. Status Hub & Intelligent Alerts The Status Hub provides a real-time cockpit of your trading environment, displaying the "Trend Reliability Score" (0-100%) and Multi-Timeframe grades. Confluence Alerts: Get notified when the Local, HTF1, and HTF2 timeframes all reach "A-Grade" status simultaneously. Exhaustion Pillars: Vertical pillars on your chart highlight "Volume Spikes," warning you of potential trend exhaustion before the reversal happens. How to Use Check the Hub: Ensure the Trend Reliability is above 75%. Verify Grade: Look for "A-Grade" efficiency on your local timeframe. Find the Stronghold: Enter trades where the Golden Bridge and Big Money Clusters overlap for the highest-probability entries. Target Expansion: Follow the dynamic Green/Red target lines for volatility-adjusted take-profits. Disclaimer: Trading involves significant risk. This tool is designed for educational and diagnostic purposes and should be used as part of a comprehensive trading plan.
อินดิเคเตอร์ Pine Script®
โดย TrendMatrix_Labs
stelaraX - DPOstelaraX – DPO stelaraX – Detrended Price Oscillator (DPO) is a cycle-based indicator designed to remove long-term trend components from price action. By isolating short- to medium-term price cycles, it helps traders focus on market rhythm and cyclical turning points rather than overall trend direction. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Detrended Price Oscillator subtracts a displaced simple moving average from the current price. This displacement shifts the moving average back in time, effectively removing the dominant trend component. Key principles: * the lookback period defines the dominant cycle length * the moving average is shifted backward by half the period plus one * values above zero indicate price above the detrended mean * values below zero indicate price below the detrended mean * oscillations highlight cyclical highs and lows The DPO is not designed to follow trends but to analyze price cycles and mean reversion behavior. Visualization The script plots: * the DPO line in a separate indicator pane * green coloring when values are above zero * red coloring when values are below zero * a zero reference line for cycle symmetry This presentation makes cyclical expansions and contractions clearly visible. Use case This indicator is intended for: * identifying cyclical market highs and lows * timing entries and exits in ranging markets * analyzing mean reversion behavior * confirming cycle-based divergences * supporting non-trend-following and oscillation strategies It works best when used independently from trend indicators or alongside regime filters. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
stelaraX - Coppock CurvestelaraX – Coppock Curve stelaraX – Coppock Curve is a long-term momentum indicator designed to identify major trend transitions and long-term buying opportunities. It combines rate-of-change momentum with weighted smoothing to highlight broad market shifts rather than short-term noise. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Coppock Curve is calculated by summing two rate-of-change (ROC) values with different lookback periods and smoothing the result using a weighted moving average (WMA). Key principles: * the long ROC captures broader market momentum * the short ROC adds sensitivity to more recent price changes * the WMA smooths combined momentum to reduce noise * values above zero indicate positive long-term momentum * values below zero indicate negative long-term momentum The Coppock Curve is traditionally used to assess major trend shifts rather than precise entry timing. Visualization The script plots: * the Coppock Curve as a histogram in a separate indicator pane * green bars when long-term momentum is positive * red bars when long-term momentum is negative * a zero reference line for directional context This clean histogram view emphasizes dominant long-term momentum cycles. Use case This indicator is intended for: * identifying major market trend transitions * spotting long-term accumulation phases * confirming primary trend direction * filtering short-term trades in alignment with macro momentum * supporting position trading and investment-focused strategies It is especially effective on higher timeframes and when combined with trend structure or AI-assisted market analysis. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
stelaraX - Chaikin Money FlowstelaraX – Chaikin Money Flow stelaraX – Chaikin Money Flow is a volume-based momentum indicator designed to measure buying and selling pressure over a defined period. By combining price location within the candle and traded volume, it helps identify whether capital is flowing into or out of an asset. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Chaikin Money Flow (CMF) evaluates where the closing price lies within the high–low range and weights this position by volume. The result is averaged over a user-defined lookback period and normalized by total volume. Key principles: * closes near the high contribute positive money flow * closes near the low contribute negative money flow * values above zero indicate net buying pressure * values below zero indicate net selling pressure * higher absolute values reflect stronger conviction Readings beyond typical threshold levels suggest sustained accumulation or distribution rather than short-term noise. Visualization The script plots: * the Chaikin Money Flow as a histogram in a separate indicator pane * green bars when CMF values are positive * red bars when CMF values are negative * a zero reference line for directional context * additional reference levels at +0.05 and −0.05 for pressure strength This layout makes shifts in capital flow and volume-backed momentum easy to interpret. Use case This indicator is intended for: * identifying accumulation and distribution using volume flow * confirming trend direction with volume confirmation * spotting divergences between price and money flow * filtering false breakouts and weak price moves * supporting volume-based and smart money concepts It works particularly well when combined with price structure, trend filters, or AI-assisted chart evaluation. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
UK Dual-Session HighlighterOverview This indicator is a specialized volatility-window tool designed for traders operating in UK Time (Europe/London). It specifically isolates the two highest-probability trading windows for the Nasdaq (NQ) and other US/European indices, while intentionally leaving the "Lunch Lull" period unhighlighted to help traders avoid low-liquidity "chop." The Dual-Session Strategy The script highlights two distinct phases of the trading day: London Morning (09:15 – 12:00): Captures the core European institutional flow and the establishment of the morning trend. The US Active Window (13:30 – 17:15): Covers the critical 13:30 US Economic Data releases, the 14:30 New York Open, and the high-volume London-NY Overlap. Key Features for 2026 Timezone Locked: Hard-coded to Europe/London. You do not need to adjust your chart settings; the indicator stays accurate regardless of your local time. Automatic DST Handling: Fully compatible with 2026 Daylight Saving transitions (GMT/BST). It automatically adjusts when the UK clocks change in March and October. The "Lunch Lull" Filter: By leaving the 12:00–13:30 window blank, the indicator provides a visual "stop" signal during the period when London traders are at lunch and US pre-market volume is typically at its lowest. Fully Customizable: Toggle sessions on/off and adjust colors, transparency, and specific start/end times via the Inputs menu.
อินดิเคเตอร์ Pine Script®
โดย ManWithDPlan
stelaraX - Choppiness IndexstelaraX – Choppiness Index stelaraX – Choppiness Index is a market state indicator designed to quantify whether price action is trending or ranging. It measures how efficiently price moves over time and helps traders distinguish between directional phases and choppy, sideways market conditions. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Choppiness Index evaluates the relationship between cumulative volatility and total price range over a user-defined lookback period. Key principles: * the sum of true range (ATR) represents total market movement * the high–low range defines net price displacement * the resulting value is normalized on a 0–100 scale * higher values indicate choppy, non-directional markets * lower values indicate efficient, trending price movement Readings above the upper threshold suggest consolidation or range-bound conditions, while readings below the lower threshold signal trending environments. Visualization The script plots: * the Choppiness Index line in a separate indicator pane * a configurable upper threshold highlighting choppy market phases * a configurable lower threshold highlighting trending market phases * a filled background zone between both thresholds for visual clarity This visualization makes regime shifts between trend and consolidation phases easy to identify at a glance. Use case This indicator is intended for: * distinguishing trending from ranging market conditions * filtering trend-following strategies during consolidation * selecting appropriate strategies based on market regime * improving entry timing by avoiding low-quality setups * supporting multi-indicator and AI-assisted market analysis It is especially effective when used as a regime filter alongside momentum or trend indicators. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
stelaraX - ALMAstelaraX – ALMA stelaraX – ALMA is a trend-following moving average designed to reduce lag while maintaining smooth price representation. It uses a Gaussian-weighted distribution to emphasize recent price data without the excessive noise often seen in faster averages. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Arnaud Legoux Moving Average (ALMA) applies a Gaussian weighting scheme across a user-defined lookback period. Unlike traditional moving averages, it shifts the weighting curve using an offset parameter, allowing fine control over responsiveness and smoothness. Key principles: * the lookback period defines the smoothing horizon * the offset controls the center of the Gaussian curve and thus the balance between lag and responsiveness * the sigma parameter adjusts the width of the Gaussian distribution * rising ALMA values indicate bullish trend momentum * falling ALMA values indicate bearish trend momentum The ALMA reacts faster to price changes than classic moving averages while remaining visually smooth and stable. Visualization The script plots: * the ALMA line directly on the price chart * dynamic color changes based on ALMA slope direction * green coloring for rising ALMA values * red coloring for falling ALMA values This color-coded display provides immediate visual feedback on short-term trend direction and momentum shifts. Use case This indicator is intended for: * identifying trend direction and trend changes * acting as a dynamic support and resistance guide * filtering entries in trend-following strategies * confirming momentum in breakout or pullback setups * replacing traditional moving averages with reduced lag It integrates well with price action, structure-based systems, and AI-assisted chart analysis. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
stelaraX - Accumulation/DistributionstelaraX – Accumulation/Distribution stelaraX – Accumulation/Distribution is a volume-based indicator designed to analyze buying and selling pressure by combining price movement with traded volume. It helps traders assess whether an asset is being accumulated (smart money buying) or distributed (selling pressure), even when price action appears sideways or unclear. This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation stelarax.com Core logic The Accumulation/Distribution (A/D) line evaluates where the closing price sits within the candle range and weights this position by volume. Key principles: * closes near the high with high volume increase the A/D value (accumulation) * closes near the low with high volume decrease the A/D value (distribution) * values are cumulatively summed, creating a running pressure profile * a simple moving average (SMA) of the A/D line is applied for smoothing and trend confirmation A rising A/D line indicates underlying buying pressure, while a falling A/D line signals increasing selling pressure. Visualization The script plots: * the Accumulation/Distribution line in a separate indicator pane * a configurable moving average of the A/D line * customizable colors for both the raw A/D line and its moving average This clean layout makes shifts in volume-backed momentum and pressure changes easy to spot. Use case This indicator is intended for: * identifying accumulation and distribution phases * confirming trend strength using volume confirmation * spotting divergences between price and volume pressure * filtering false breakouts in low-quality price moves * supporting smart money and volume-based trading concepts It works especially well when combined with price structure, trend filters, or AI-assisted chart interpretation. Disclaimer This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
อินดิเคเตอร์ Pine Script®
โดย stelaraX_official
Sam BB V14 Bollinger Bands Ribbon with custom inter-band fills looks well-structured and mostly correct for Pine Script v5. It implements: Four independent, customizable Bollinger Band sets (different lengths, MA types, multipliers, sources, colors) Individual inner fills (inside each band) Inter-band "ribbon" fills (the zones between bands on both upper and lower sides) Toggle visibility per band Clean input grouping Design by Sam Mahboubeh, V1
อินดิเคเตอร์ Pine Script®
โดย sammahboubeh
Sector Rotation & Allocation StrategySector Rotation & Allocation Strategy Overview This advanced indicator analyzes the relationship between Defensive and Cyclical sectors to identify market regimes and generate precise buy/sell signals. It automatically detects which asset you're viewing and provides tailored recommendations based on current sector rotation dynamics. What It Does Identifies Market Regime – Determines if markets are in Risk-On (growth) or Risk-Off (defensive) mode Auto-Detects Your Asset – Classifies the current chart into one of 11 sectors Generates Trading Signals – Provides BUY/SELL signals based on sector alignment with market conditions Multi-Timeframe Analysis – Offers allocation recommendations from 1 week to 12 months Value Assessment – Scores each asset 0-100 to determine if it's a good trade NOW How It Works Market Regime Detection The indicator compares Defensive Sectors (Health Care, Consumer Staples, Utilities) against Cyclical Sectors (Technology, Financials, Energy, Industrials, Materials, Real Estate, Discretionary, Communication). Risk-On Market (Green, >0): Cyclical sectors outperforming Economic growth expected Investors favoring growth stocks Action : Buy cyclicals, reduce defensives Risk-Off Market (Red, <0): Defensive sectors outperforming Uncertainty or fear in markets Flight to safety occurring Action : Buy defensives, reduce cyclicals Understanding the Four Tables 1. MARKET REGIME (Top Left) Market Regime : Current state – RISK-ON or RISK-OFF Bias : Which sector type is favored right now Strength : STRONG/MODERATE/WEAK – conviction level Current Sector : Your asset's sector classification Signal : Trading recommendation for your specific asset 2. SECTOR RANKINGS (Top Right) Shows relative strength of all 11 sectors vs SPY benchmark. Rel Str : Percentage outperformance/underperformance vs market Signal : ✓ = Outperforming, ✗ = Underperforming, − = Neutral 3. ALLOCATION RECOMMENDATIONS (Bottom Center) Suggested portfolio allocation between Defensive and Cyclical sectors. 1 Week : Tactical – follows current regime closely (70/30 split) 1 Month : Near-term positioning (65/35 split) 3 Months : Medium-term allocation (60/40 split) 6 Months : Balanced approach (50/50 split) 12 Months : Strategic/Contrarian – assumes mean reversion (40/60 split) 4. ASSET ANALYSIS (Bottom Left) Sector : Auto-detected sector classification Value Rating : STRONG BUY / BUY / HOLD / REDUCE / AVOID Value Score : 0-100 numerical assessment Rel Strength : How this asset performs vs SPY Regime Fit : Is this asset aligned with current market regime? Trading Signals Explained BUY Signals Oscillator crosses above oversold (30) Asset's sector is gaining momentum Regime is favorable for that sector SELL Signals Oscillator crosses below overbought (70) Asset's sector is losing momentum Regime is turning unfavorable for that sector How Value Score Works (0-100) Relative Strength (40 points max) : Asset outperforming SPY by 5%+ → 40 points Asset outperforming SPY by 2-5% → 30 points Asset outperforming SPY by 0-2% → 20 points Asset underperforming slightly → 10 points Asset underperforming significantly → 0 points Sector Alignment (30 points max) : Defensive in Risk-Off OR Cyclical in Risk-On → 30 points Misaligned sector → 0 points Unclassified → 15 points Momentum (30 points max) : RSI > 60 → 30 points RSI 50-60 → 20 points RSI 40-50 → 10 points RSI < 40 → 0 points Interpretation : 80-100 : STRONG BUY – High conviction opportunity 65-79 : BUY – Favorable setup 45-64 : HOLD – No clear edge 30-44 : REDUCE – Unfavorable conditions 0-29 : AVOID – High risk of underperformance Best Practices Use Daily Timeframe or Higher – More reliable signals Combine with Price Action – Confirm with support/resistance Monitor Regime Changes – Transitions offer the highest ROI Respect Risk Management – Always use stop losses Don't Fight the Regime – Buying defensives during Risk-On is low probability Disclaimer This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Conduct your own research before making investment decisions. Version: 6.0 Author: @bigcitytom Last Updated: February 2026
อินดิเคเตอร์ Pine Script®
โดย bigcitytom
Custom Time Highlighter (UK time adjusted)Overview This indicator is designed to visually isolate a specific custom time window on your chart. It automatically adjusts for British Summer Time (BST) and Greenwich Mean Time (GMT) transitions, ensuring your session start and end times remain accurate throughout the year. Customizable Window: While the default is set to 9:15 AM - 5:15 PM, users can easily modify the session hours via the input settings.
อินดิเคเตอร์ Pine Script®
โดย ManWithDPlan