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Trendpattern

Gemini Quant OS 6-in-1 SignalGemini Quant OS — 6-in-1 Core Overview Gemini Quant OS — 6-in-1 Core is a multi-market analytical framework designed to help traders identify market structure, trend conditions, volatility expansion, and potential trading opportunities across multiple asset classes. The framework supports: Forex Gold Indices Crypto Commodities Equities This script is part of the broader Gemini Quant OS ecosystem. --- Core Concepts The framework combines multiple technical components into a single structured decision-making system, including: trend strength analysis EMA structure volatility expansion ATR-based risk zones breakout confirmation adaptive market regime filtering momentum alignment multi-timeframe bias detection The dashboard dynamically adapts to different market conditions and attempts to classify whether the market is: trending ranging volatile mixed --- Features Multi-market compatibility Signal dashboard Adaptive market bias Buy/Sell signal detection ATR-based SL/TP framework Trend and momentum filtering Volatility condition analysis --- Best Use Cases Best suited for: H1–D1 analysis swing trading momentum trading volatility expansion environments structured discretionary trading --- Notes This script is designed as an educational and analytical framework. Not financial advice.
Pine Script® 인디케이터
Super_Trader_HK의
Concordance Regime Synthesis [JOAT]Concordance Regime Synthesis Introduction Concordance Regime Synthesis is an open-source strategy framework that combines regime state, pressure, participation, structure, and higher-timeframe bias into one non-repainting confluence model. The strategy is designed to avoid single-factor entries by requiring multiple independent conditions to align before risk is deployed. Core Concepts 1. Multi-factor confluence scoring Long and short setups are scored independently using regime direction, normalized price pressure, participation-axis deviation, delta behavior, recent structure, and optional higher-timeframe bias. 2. Regime-aware execution Entries only occur when directional confluence exceeds a threshold and the score spread clearly favors one side. 3. ATR-based risk handling Stops, targets, and optional trailing logic are all derived from ATR so the strategy adapts to volatility instead of using fixed-tick assumptions. Strategy Properties Initial capital: 10,000 Order size: 10% of equity per trade Commission: 0.06% Slippage: 1 tick Pyramiding: 0 Orders processed on close Originality Statement This strategy is original in its use of a confluence gate that requires independent agreement from regime, pressure, delta, participation, structure, and optional HTF alignment before entries are allowed. It is published as an educational framework for multi-factor strategy construction rather than as a promise of future performance. Disclaimer This strategy is for educational and informational purposes only. Backtest results depend on symbol, timeframe, market regime, and execution assumptions. Historical results do not guarantee future returns. Always validate assumptions and use realistic risk controls.
Pine Script™ 전략
officialjackofalltrades의
Trend Pullback Risk Planner [AGPro Series]Trend Pullback Risk Planner 🧠 Core Idea Is the current pullback normal trend digestion, or is it becoming a risk shift that deserves review? 📌 Overview / What it does Trend Pullback Risk Planner is a chart-first trend risk planner built to evaluate active pullbacks inside an established trend. The script maps a Pullback Risk Pocket, trend defense line, invalidation reference, target-room guide, compact state labels, alert conditions, and a clean AGPro panel. It converts trend slope, pullback depth, volume dry-up, defense response, and target obstruction into a 0-100 Continuation Score. It does not predict price movement, automate execution, or print buy/sell commands. Its purpose is to help traders judge whether a pullback is still controlled enough to review, or whether the trend context is starting to lose quality. 🎯 Purpose & Design Philosophy This script was built for traders who already see a trend but need a cleaner way to evaluate pullback risk. Many pullback tools focus on marking every retracement as a possible continuation setup. This planner focuses on the decision question behind the setup: is the pullback still being defended, is it getting too deep, does target room remain clean, and what should be reviewed next? The design supports a risk-first mindset. It helps users read pullback behavior without turning the chart into a crowded signal board or a generic support/resistance map. ⚡ Why This Script Is Different Most tools focus on identifying pullbacks or continuation signals. This script does NOT try to clone a low-volume pullback zone, a generic trend continuation score, a Supertrend pullback model, or a broad support/resistance system. Instead, it treats the pullback as a live risk review. The unique output is the Pullback Risk Pocket: a controlled planning area where depth, defense, volume behavior, target room, and invalidation context are evaluated together before the panel prints the next action state. ⚙️ Methodology 1. Context Detection The planner identifies trend side using EMA stack structure and normalized trend slope. Users can keep the side automatic or restrict the tool to bullish-only or bearish-only review. 2. Reference Mapping The script builds a Pullback Risk Pocket between the base trend reference and the defense line. It also maps an invalidation reference and a target-room guide. 3. Reaction Evaluation The model evaluates pullback depth versus ATR, trend slope, volume dry-up, wick/close response inside the pocket, and distance to the nearest target-side obstruction. 4. Visual Output The result is shown through a centered risk pocket label, defense/risk/target guide lines, compact event labels, alerts, and an AGPro decision panel. 🗺️ How to Read the Chart Zones = the Pullback Risk Pocket where an active pullback is reviewed for normal digestion versus risk shift. Labels = continuation-ready, risk-watch, weak-pullback, risk-shift, follow-through, and sparse pocket-context markers. Colors = bullish trend context uses AGPro teal, bearish trend context uses AGPro pink, warning states use yellow, and invalidation/risk-shift states use red. Panel = the panel summarizes Trend Side, Pullback Depth, Risk Pocket status, Continuation Score, target-room context, and Action. 🚦 Signals & States • TREND ACTIVE → trend context exists, but price has not reached the pullback risk pocket. • POCKET NEAR → price is approaching the pullback risk pocket and deserves attention. • HEALTHY PULLBACK → pullback is being reviewed with constructive but not yet high-grade conditions. • RISK WATCH → pullback depth or response quality is becoming less clean. • CONTINUATION READY → pullback risk pocket is defending with sufficient score and target-room context for review. • FOLLOW-THROUGH → price is responding after a defended pullback pocket. • WEAK PULLBACK → pullback touched the pocket, but score quality is weak. • RISK SHIFT → price crossed the invalidation reference and the context should be rebuilt. • NO TREND → trend structure is not aligned enough for the planner. 🔔 Alerts Logic Alerts trigger when the planner detects a Continuation Ready state, a Risk Watch state, a Risk Shift event, or Follow-Through after a defended pocket. These alerts are attention markers. They are not trade instructions, not execution commands, and not guaranteed outcomes. 🧩 Confluence Logic The strongest context appears when trend slope, controlled pullback depth, quiet retracement volume, a constructive defense response, and clean target room align at the same time. When one or more of these elements weakens, the planner shifts toward POCKET NEAR, RISK WATCH, WEAK PULLBACK, or RISK SHIFT instead of forcing a continuation interpretation. 📊 When to Use • Trending markets with visible pullback structure • Continuation review after a clean directional leg • Situations where pullback depth and defense quality matter • Trade-planning workflows that need risk, invalidation, and target-room context ⚠️ When NOT to Use • Flat, low-directional range conditions • Low-liquidity charts with unreliable wick and volume behavior • Extreme news volatility where pullbacks can invalidate quickly • Situations where the user expects an automatic buy/sell system 🎛️ Key Inputs • Planner Side → controls Auto, Bullish Only, or Bearish Only evaluation. • Sensitivity → changes how strict the risk pocket and scoring model behave. • EMA Lengths → define fast trend pressure, base pullback reference, and defense line. • Pullback Depth Lookback → controls how the script measures retracement depth from the latest trend-side extreme. • Risk Pocket Width ATR → controls the thickness of the pullback review area. • Invalidation Buffer ATR → controls the distance of the invalidation reference beyond the defense line. • Clean Target Room ATR → defines preferred room before target-side obstruction. • Visual settings → control pocket visibility, guide lines, labels, panel location, theme, and font sizes. 🖥️ Interface & Visual Design The interface is built around one main object: the Pullback Risk Pocket. The centered pocket label keeps the active state visible without forcing users to read many separate markers. The guide lines show defense, invalidation, and target-room context. The AGPro panel keeps the decision state compact and readable. Labels use controlled spacing, cooldown, and maximum-count settings so the chart remains active without becoming crowded. 🧪 Practical Usage Workflow 1. Read the panel Action state. 2. Check Trend Side and Pullback Depth. 3. Review whether price is near, inside, defending, or breaching the Pullback Risk Pocket. 4. Compare the Continuation Score with target-room context. 5. Treat alerts as attention markers and confirm broader market context independently. 🔍 Interpretation Guidelines A higher Continuation Score means the active pullback is showing stronger alignment between trend slope, controlled depth, volume dry-up, defense response, and remaining target room. CONTINUATION READY does not mean a trade should be opened. It means the pullback remains structurally constructive under the script's rule set. RISK WATCH and RISK SHIFT are caution states. They help users slow down when pullback depth, defense response, or invalidation context becomes weaker. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed signals. It is not a generic support/resistance zone map. It is not a clone of Low Volume Pullback Zones, Trend Continuation Quality, or Supertrend Pullback Quality. ⚠️ Limitations & Transparency Timeframe differences can change trend slope, pullback depth, and target-room readings. Volume behavior can vary across markets and data feeds. Fast volatility expansion can move price through the pocket before a clean review state appears. The script is rule-based and should be interpreted as an analytical planning layer, not as certainty. 🧠 Market Context Notes Pullbacks are not automatically healthy because they occur inside a trend. A clean trend pullback usually needs controlled depth, reduced against-trend pressure, visible defense response, and enough room before the next obstruction. This planner is designed to keep that review process structured. 🧾 Use Case Examples When price pulls into the risk pocket with controlled depth, softer relative volume, and a strong close back toward the trend side, the planner may classify the state as CONTINUATION READY. When price enters the pocket but response quality is weak or depth becomes excessive, the planner may show RISK WATCH. When price crosses the invalidation reference beyond the defense line, the planner may show RISK SHIFT. 🧱 System Philosophy Trend Pullback Risk Planner follows the AGPro Series decision-engine approach: Trend first. Pullback risk second. Defense and target room before action. Attention markers instead of promises. 🔐 Non-Promise Statement No script can guarantee that a pullback will continue. No state should be interpreted as certainty. All outputs should be reviewed within broader market context. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk management, and trade execution. This script is for educational and analytical purposes only and does not provide financial advice. 📚 Educational Note The script is designed to help users think in structured pullback-risk terms: trend, depth, defense, target room, invalidation, and review.
Pine Script® 인디케이터
AGProLabs의
PrismPrism : Integrated Trend Flow & Structural Risk Engine** **Prism ** is a high-precision trend-following system designed to filter market noise and provide institutional-grade trade management. By combining **Guppy Multiple Moving Average (GMMA)** logic with **Dynamic Structural Walls** and an **Automated Entry Advice Engine**, it offers a comprehensive solution for traders who prioritize confluence over guesswork. ### **Core Logic: The Triple-Filter Approach** Prism PRO doesn't just look at price; it analyzes the "fabric" of the market through three distinct layers: 1. **The Ribbon Stack (Sentiment & Flow):** Utilizing 12 EMA layers, the script identifies when short-term sentiment (the fast group) is perfectly aligned with long-term capital flow (the slow group). Signals only fire when the trend is "stacked" and healthy. 2. **Momentum Confirmation:** A built-in RSI filter ensures that signals are only triggered when momentum is on your side ( NYSE:RSI > 50$ for Longs, NYSE:RSI < 50$ for Shorts), preventing "drift" entries in low-volatility environments. 3. **Structural Wall Confluence:** This is the heart of the system. The script identifies the nearest **Auto-Fibonacci level** and compares it with the **EMA 12**. It selects the strongest level to create a "Structural Wall," which serves as the basis for the **Advised Stop Loss**. ### **Key Features** * **Dynamic Entry Advice Engine:** The dashboard provides real-time feedback. It labels entries as **IDEAL**, **LATE**, or **OVEREXTENDED** based on the price's deviation from the EMA 12 and the live Reward-to-Risk (R/R) ratio. * **Frozen State Persistence:** Unlike standard indicators that reset when a trend breaks, Prism PRO "freezes" your trade data (Entry, Stop, Target). If the ribbon stack breaks while you are in a trade, the dashboard keeps showing your last valid levels (marked with an `*`) so you can monitor your exit. * **Ratchet Trailing Stop:** An ATR-based trailing stop that only moves in a favorable direction, protecting your capital as the trade progresses. * **Fibo-Compression Alerts:** The dashboard monitors the distance between the current price and major Fibonacci levels. If the price is too close to a major level, it triggers a **⚠️ Warning**, alerting you to potential reversal zones or "compression" before a breakout. ### **The Dashboard Breakdown** * **System Mode:** Instant visual of current trend bias. * **Risk Metrics:** Live ATR volatility and percentage-based risk/reward calculations. * **Final Call:** A "Engine Status" indicator showing the strength of the current flow. * **Entry Advice:** Direct instructions (e.g., "Wait Pullback" or "Monitor Open Position"). ### **How to Use** 1. **The Setup:** Look for a **BUY** or **SELL** label. 2. **The Filter:** Check the **Entry Advice**. If it says "OVEREXTENDED," wait for a pullback to the ribbon. 3. **Risk Management:** Use the **Advised Stop** or the **Trailing Stop** provided on the dashboard to manage your exit. 4. **Targeting:** The script plots a 1:2 R/R target by default, which is automatically cross-referenced with the nearest Fibonacci level for higher probability. --- Disclaimer This indicator is for educational and informational purposes only and does not constitute financial or investment advice. Trading financial markets involves significant risk of loss. Past performance is not indicative of future results. Always perform your own due diligence and consult with a professional financial advisor before making any investment decisions. The author assumes no responsibility for any financial losses incurred through the use of this script.
Pine Script® 인디케이터
Okeefe06의
1
Smart Trader, Episode 06, Isotropic Trend Lines🔷 WHAT IS ST-EP06 — ISOTROPIC TREND LINES? ST-EP06 is a multi-scale structural trend channel indicator built on a σ-normalized coordinate system. It is designed to solve one of the oldest unaddressed problems in technical analysis: trend angles that cannot be compared across instruments, timeframes, or volatility regimes. A trend line drawn on a chart appears to carry a measurable angle — yet that angle is an artifact of the display window, not a property of the market. Resize the chart horizontally and the slope flattens; compress it and the slope steepens. A given price movement on Gold daily and Bitcoin 1-hour may produce visually identical slopes on screen while reflecting entirely different structural conditions. This happens because traditional charts use a coordinate space where the vertical axis (price) and the horizontal axis (time) share no fixed dimensional relationship. The consequence is not merely cosmetic. A trader cannot meaningfully compare the steepness of a trend on one instrument with another — or even across timeframes on the same instrument — because the weight of "one unit of price per bar" varies with the instrument's current volatility. As the author of this indicator, I sought a coordinate system where trend angles would be an intrinsic structural property of the market, independent of charting software or display settings. The goal: a space where a 30° uptrend on EUR/USD weekly carries the same structural meaning as a 30° uptrend on NASDAQ 5-minute — indicating that each market is moving at the same rate relative to its own realized volatility. The solution draws on the principle of dimensional analysis, well established in physics and engineering. Just as the Reynolds number normalizes fluid flow to make behavior comparable across different pipe sizes and fluid viscosities, this indicator normalizes price movement by realized volatility, producing a dimensionless space we call the Isotropic Coordinate System (ICS). In ICS, price is expressed in natural logarithmic form and scaled by a volatility estimate (σ) derived from the Yang-Zhang (2000) method — a drift-invariant estimator that incorporates Open, High, Low, and Close data. The resulting vertical axis is dimensionless: one unit equals one standard deviation of recent realized price behavior. When trend angles are measured in this space, 45° indicates approximately one σ of movement per bar — whether the chart shows a penny stock, a major currency pair, or a commodity index. Traditional chart coordinates assign no fixed relationship between the price axis and the time axis. Resizing the chart window changes the visual slope of the same price movement — a compressed view may show 52° while a stretched view of the same data shows 25°. The angle is a display artifact, not a market property. The Isotropic Coordinate System (ICS) addresses this by normalizing log-price by realized volatility (σ). In this space, the trend angle is designed to remain constant regardless of how the chart is displayed — because it measures price displacement in units of σ per bar, not in pixels per pixel. 🔷 HOW THE MODULES WORK TOGETHER ST-EP06 operates as a deterministic pipeline where each stage consumes the output of the one before it: Realized volatility estimation (σ) → Structural block construction → Monotonic direction detection → ICS angle measurement → Channel boundary fitting → Six-scale parallel analysis → Consensus aggregation → Breakout and retest state tracking → Dashboard narrative generation The Yang-Zhang σ provides the normalization constant for every downstream computation. Price history is then partitioned into structural blocks, each distilled to a single central tendency that resists close-price bias. Consecutive block centers are compared to identify the longest uninterrupted directional segment. The slope of that segment, measured in σ-normalized space, yields the ICS angle. Four price extremes located within the segment define two log-linear channel boundaries. This complete pipeline runs independently at six temporal scales, and their independent outputs are aggregated into a structural consensus. A finite-state machine then tracks the evolving relationship between price and the primary channel — breakout, retest, confirmation, or failure — and translates it into a single-line human-readable narrative. ST-EP06 operates as a deterministic sequential pipeline. Yang-Zhang volatility (σ) provides the normalization constant that flows into every downstream stage. Price history is partitioned into structural blocks, each reduced to a geometric mean. The longest monotonic segment determines direction, and its slope in σ-normalized space yields the ICS angle. Four price extremes define the channel boundaries. This complete pipeline runs independently at six scales — 3, 7, 13, 19, 29, and 47 bars per block — all prime numbers, chosen to minimize harmonic overlap so that multiple scales are unlikely to lock onto the same cyclical artifact. Scale 19 (highlighted) serves as the primary engine: it is the only scale that maps to the user's Trend Block Period input, and the only scale whose output drives the chart-overlay channel lines, the projection, the diamond markers, and the breakout/retest state machine. The other five scales operate at fixed periods and contribute exclusively to the cross-scale consensus count — providing structural context that a single scale cannot offer alone. When 5 or 6 of the 6 scales agree on direction, it suggests a structural trend visible across a broad range of temporal resolutions. 🔷 DATA ANCHORING Every structural computation in ST-EP06 — volatility, block means, direction, channel coordinates, state machine transitions, and dashboard narrative — is governed by a single anchoring reference, selected through the Calculation Bar input. Live Bar mode (default): the anchor is the current forming bar. Values update with each incoming tick. This is standard TradingView behavior and means the indicator may exhibit intra-bar repaint — the live bar's data enters all computations as it evolves. Close Bar mode: the anchor shifts to the last fully confirmed (closed) bar. The forming bar is excluded from every computation. Values lock once a bar closes and do not change retroactively. This mode is intended for structural analysis, back-testing, and any workflow where historical consistency is a priority. One deliberate exception is maintained in both modes: the dashboard header always displays the current live closing price (Live Exception protocol), preserving real-time price awareness regardless of how the indicator's structural engine is anchored. Two modes, same chart moment. In Live Bar the anchor sits on the forming bar, so every value updates tick-by-tick and may repaint within the bar. In Close Bar the anchor shifts to the last closed bar, locking all structural values once the bar closes. The only exception is the dashboard header row, which always displays the live closing price in both modes, so real-time price awareness is never lost. 🔷 YANG-ZHANG VOLATILITY (σ) The foundation of the ICS is a robust volatility estimate. ST-EP06 uses the Yang-Zhang (2000) realized volatility estimator, an academically established method that combines three variance components: Overnight variance — capturing the gap between consecutive sessions, measured from the prior close to the current open. Intraday variance — capturing the movement from open to close within each session. Range-based variance — using the Rogers-Satchell (1991) estimator, which extracts additional information from the high and low prices without assuming zero drift. These three components are blended using an optimal weight that is designed to minimize estimation error. The resulting σ updates every bar, adapts to changing market conditions, and — crucially — is drift-invariant: it is intended to remain unbiased whether the market is trending strongly or mean-reverting. 🔷 BLOCK CONSTRUCTION Rather than analyzing individual bars, ST-EP06 partitions recent price history into consecutive non-overlapping blocks. Each block spans a user-defined number of bars (the Trend Block Period input) and is reduced to a single representative value: the geometric mean of the block's highest high and lowest low, computed in logarithmic space. This log-midpoint serves as the block's central tendency. Unlike a simple average of closing prices, it captures the structural center of the entire price range within the block, avoiding bias toward any single price point. The number of consecutive blocks compared is controlled by the Trend Block Groups input — more groups means deeper lookback and the ability to detect longer structural trends. Price history is partitioned into consecutive non-overlapping blocks. Each block reduces to a single log-midpoint — the geometric mean of its highest high and lowest low. Connecting the midpoints forms the representative chain used for trend detection. 🔷 DIRECTION DETECTION + ICS ANGLE Once blocks are constructed, the engine compares their geometric means in sequence, starting from the most recent. It identifies the longest consecutive segment where each block's central tendency moves in the same direction — either consistently rising or consistently falling. A single reversal terminates the segment. The slope of this segment is then measured in ICS space: the logarithmic price difference between the oldest and newest blocks in the segment, divided by σ, divided by the number of bars between them. The arctangent of this normalized slope produces the ICS angle in degrees. If the absolute angle falls within the Range Threshold (a user-configurable dead zone in degrees), the direction is classified as ranging rather than trending. This threshold acts as a sensitivity filter — wider values require steeper moves before declaring a trend, narrower values respond to subtler directional shifts. An ICS angle of 45° indicates approximately one σ of price movement per bar. An angle near 0° suggests the market may be structurally flat. Because σ adjusts for volatility and the logarithm adjusts for price level, these angles are intended to be directly comparable across any instrument and any timeframe. 🔷 CHANNEL FITTING Within the identified trending segment, the engine locates four price extremes: the highest high, the lowest high, the highest low, and the lowest low — each paired with its bar position. These four points define two linear boundaries in ICS space. During an uptrend, the upper boundary is fitted through the lowest high and highest high (capturing the rising ceiling), while the lower boundary is fitted through the lowest low and highest low (capturing the rising floor). During a downtrend, the fitting order reverses to capture descending structure. During a ranging market, the channel uses horizontal boundaries at the segment's absolute high and low. All boundary computations occur in the σ-normalized logarithmic coordinate system, meaning the channel lines represent geometric (log-linear) paths in price space — curves that naturally follow multiplicative price behavior rather than additive assumptions. Within the trending segment, four extremes — HH, LH, HL, LL — define two log-linear boundaries. In an uptrend, the upper line fits through LH and HH, the lower through LL and HL. The direction reverses the fitting order for downtrends, and a ranging market uses horizontal boundaries. 🔷 6-SCALE PARALLEL ANALYSIS A single temporal scale may capture the trend at one resolution but miss structure at others. ST-EP06 runs the complete pipeline — volatility normalization, block construction, direction detection, ICS angle, and channel fitting — independently at six different scales: 3, 7, 13, 19, 29, and 47 bars per block. These values were chosen as prime numbers to minimize harmonic overlap between scales. Scale 19 serves as the primary engine and maps to the user's Trend Block Period input. The other five scales use fixed periods, providing a structural context that the primary engine alone cannot offer. The dashboard displays each scale's independent trend direction. A consensus count shows how many of the six scales agree: 5/6 or 6/6 agreement suggests a structural trend that is visible across multiple temporal resolutions, while low agreement may indicate transitional or conflicting structure. 🔷 BREAKOUT / RETEST STATE MACHINE ST-EP06 includes a 5-state finite automaton that tracks price's structural relationship to the primary channel boundaries: Inside — price is observed between the channel floor and ceiling. The dashboard shows the position as a percentage: distance from floor and distance to ceiling (summing to 100%). Breakout Up / Breakout Down — price has exited above the ceiling or below the floor. The dashboard shows the breakout price and the percentage of channel width that price has moved beyond the boundary. Retest Up / Retest Down — after a breakout, price has moved at least one σ away from the boundary (establishing distance), then returned to test it. The dashboard shows both the original breakout price and the current retest level. Transitions between states use dynamic σ-based thresholds rather than fixed percentages, meaning the sensitivity automatically adjusts with market volatility. Additional flags track: ✓ Confirmed — a breakout that has been retested and bounced at least one σ away from the boundary. (gap) — price crossed the entire channel width in a single transition. Failed breakout — price re-entered the channel after initially breaking out. Direction reset — the primary trend direction changed, wiping all breakout state. 🔷 VISUAL TOOLS All chart-overlay elements are drawn from the primary engine (scale 19): Channel lines — solid upper and lower boundaries from the segment start to the anchor bar, colored by trend direction (configurable up/down/range colors, width, and line style). Projection lines — dotted forward extension of the channel slopes beyond the anchor bar, providing a visual reference for potential future support and resistance. The projection offset, width, and style are independently configurable. Channel fill — semi-transparent shading between channel boundaries, with independent color selection and adjustable transparency. Applies to both the solid channel and projection segments. Diamond markers (◆) — placed at the channel endpoints on the anchor bar. Hovering reveals a tooltip with the anchored close price, ceiling level, floor level, and the price's position as a percentage of channel width. Direction label — positioned at the midpoint between segment start and projection end. Displays the trend arrow, direction text, and ICS angle (e.g., "▲ UP +7.3°"). Tooltip includes block count. 🔷 DASHBOARD A compact information table appears at the top-right corner of the chart, organized in 5 rows: Header — indicator name, ticker symbol, timeframe, and live price (always live under the Live Exception protocol, even in Close Bar mode). Period — the six scale values (3, 7, 13, user's period, 29, 47) displayed across columns. The primary engine column is highlighted. Trend — per-scale trend direction with directional arrows (▲ UP, ▼ DN, ◈ RNG) and color coding. Agreement — consensus count (e.g., "5/6 UP") with the primary channel ceiling (▲) and floor (▼) price levels. Narrative — a single merged row presenting the breakout/retest state machine output as a human-readable sentence with distance measurements. This row updates dynamically as price interacts with the channel. All dashboard text, tooltips, and narrative phrases are fully localized. 🔷 ALERT CONDITIONS ST-EP06 provides 19 alert conditions organized in 5 categories, all gated by a master Enable Alerts toggle: D · Direction (3 alerts) — fires when the primary engine trend changes to uptrend, downtrend, or range. B · Breakout (4 alerts) — fires on initial breakout above ceiling or below floor, and separately on confirmed breakout (retested and bounced). R · Retest (2 alerts) — fires when price returns to test the boundary after establishing distance. S · Structural (5 alerts) — fires on gap-through events (price crosses entire channel), failed breakouts (price re-enters channel), and direction resets (trend change wipes state). A · Agreement (5 alerts) — fires when cross-scale consensus reaches significant thresholds: full bullish (6/6), strong bullish (5/6), full bearish (6/6), strong bearish (5/6), or range consensus (≥4/6). Important: alerts require Calculation Bar = Live Bar. In Close Bar mode, all alert conditions are automatically suppressed and a visual warning is displayed on the chart — because Close Bar mode intentionally lags by one bar, which is semantically incompatible with live alert delivery. 🔷 LANGUAGE SUPPORT The dashboard, all tooltips, the breakout/retest narrative, and the alert warning label are available in 7 languages: English · Türkçe · العربية · Русский · Italiano · Português (BR) · 中文 Select the preferred language from the Language dropdown in the Display settings group. All structural and numerical outputs remain unchanged — only the display language of text elements is affected. 🔷 HOW TO USE Apply ST-EP06 to any chart — the indicator is designed to work across instruments (equities, forex, crypto, commodities, indices) and timeframes without parameter re-optimization, because the ICS framework normalizes for volatility and price level automatically. Start with the default settings (Period 26, Groups 5, Sigma Length 20) and observe how the channel captures the dominant structural trend. The 6-scale consensus in the dashboard may help assess whether the observed trend is isolated to one temporal resolution or confirmed across multiple scales. The Calculation Bar setting is a structural decision: use Live Bar for real-time monitoring and alert-driven workflows; use Close Bar for analysis and back-testing where historical stability is prioritized. The ICS angle on the direction label provides a quantitative measure of trend intensity. Comparing angles across different instruments or timeframes is one of the intended use cases of the ICS framework — a 15° angle on one chart and a 15° angle on another may suggest similar structural momentum relative to each market's own volatility. The breakout/retest narrative in the dashboard bottom row is designed to provide context-rich status updates without requiring manual chart reading. The σ-based thresholds ensure that breakout sensitivity adapts to current market conditions rather than relying on fixed values. 🔷 SETTINGS Calculation — Calculation Bar (Live/Close Bar anchoring), Trend Block Period (bars per block), Trend Block Groups (consecutive blocks compared), Range Threshold (ICS dead zone in degrees), Yang-Zhang Sigma Length (volatility lookback). Channel Lines — Up Color, Down Color, Range Color, Line Width, Line Style. Projection Lines — Projection Offset (forward bars), Projection Width, Projection Style. Display — Language (7 options), Show Channel (toggle overlay), Show Fill (toggle shading), Show Dashboard (toggle table), Dashboard Font Size. Channel Fill — Fill Up Color, Fill Down Color, Fill Range Color, Fill Transparency. Alerts — Enable Alerts (master toggle, requires Live Bar mode). 🔷 DISCLAIMER ST-EP06 is an educational and analytical tool. It is designed to provide structural context through σ-normalized trend channels and multi-scale analysis. It does not generate buy or sell signals, does not predict future price movement, and is not intended as financial advice. Historical patterns observed through this indicator do not guarantee future outcomes. All trading decisions remain the sole responsibility of the trader.
Pine Script® 인디케이터
ata_sabanci의
24
Swing Fibonacci [BigBeluga]Swing Fibonacci is a high-precision geometric framework that merges traditional swing structure with parametric spiral projections. Unlike standard Fibonacci retracements that use static horizontal lines, this tool projects expanding harmonic spirals from major structural turning points to map out the "natural geometry" of the market. By calculating the mathematical relationship between price volatility and time, the indicator identifies expansion shells where price is naturally inclined to react, stall, or reverse. 🔵 CONCEPTS Macro Swing Detection: The engine utilizes a high-threshold lookback window (50–100 bars) to filter out market noise. It only identifies the most significant structural pivots, ensuring the spirals are anchored to "institutional" levels rather than minor retail fluctuations. Anchor Points & Structural Mapping: At every confirmed trend reversal, the script anchors a ⦾ symbol. It then draws a solid "Swing Leg" connecting the current anchor to the previous one, providing a clear visual map of the market's structural transitions. Parametric Fibonacci Spirals: The spirals are generated using a high-resolution 300-step parametric calculation. This ensures the curve remains perfectly smooth and mathematically accurate regardless of how many bars are on the screen. Adaptive Price Normalization: To prevent the "squashed" look common in geometric tools, the spiral dynamically rescales itself based on the price range of the last 500 bars. This ensures the geometry stays proportional to current market volatility. 🔵 FEATURES Institutional Data Dashboard: Located in the top-right corner, the dashboard provides real-time stats including the exact Anchor Price , the current Trend Status (BULLISH ▲ or BEARISH ▼), and the Swing % move from the low/high. Real-Time Swing Tracking: A dynamic dashed line follows the current price, connecting it back to the active anchor point. This allows you to visualize the current "swing in progress" before it is finalized. Parametric Control Suite: • Radius: Adjusts the vertical "stretch" and overall size. • Spiral Qty: Controls the number of rotations (up to 10) to project further into the future. Color Flow Visualization: The spirals utilize a professional gradient transition from the bearish color (inner) to the bullish color (outer), visually representing the expansion of price energy. 🔵 HOW TO USE Identify Reaction Zones: Price often treats the edges of the spiral curves as dynamic support and resistance. Look for "confluence" where a spiral curve intersects with a horizontal level or a previous swing point. Forecasting Expansion: • Bullish Spiral: Projects outward from a swing low, highlighting potential take-profit zones or areas where the trend might exhaust. • Bearish Spiral: Projects from a swing high, identifying "expansion floors" for short positions. Trend Confirmation: Use the Trend Squares at the bottom of the chart for a quick pulse on the current directional bias without cluttering the main price action. Harmonic Timing: The spiral's horizontal reach provides a "time" component. If price reaches a specific spiral arc at a specific time, it often marks a high-probability turning point in the cycle. 🔵 CONCLUSION Swing Fibonacci transforms abstract price action into a tangible geometric forecast. By anchoring dynamic, price-normalized spirals to the market’s strongest turning points, it provides a unique lens through which to view volatility, extension, and mean reversion. Ideal for harmonic traders, swing analysts, and anyone looking for a deeper mathematical edge in their structural analysis.
Pine Script® 인디케이터
BigBeluga의
2
SNP420 - SAO - Ultima - Multi-Asset Momentum IndicatorMulti-timeframe trend-following indicator for H1 charts. Combines D1 + H4 trend alignment with H1 entry precision using EMA, RSI, MACD, and ADX filters. Designed for EURUSD, USDJPY, and GBPUSD during London/NY sessions. Entry: Requires D1 and H4 trend agreement, price above/below EMA21, RSI in momentum zone (50-75 long / 25-50 short), positive MACD histogram, and ADX above 25. Signals only fire during active sessions (London, Overlap, NY). Exit logic (8 layers, priority-ordered): Hard SL at 2.5×ATR, TP at 5R, trailing stop from 2R profit, breakeven protection at 2R, stale position killer at 8 bars, D1/H4 trend reversal exits, and adaptive time stops (48 bars losers / 96 bars winners). On-chart display: Entry arrows (LONG/SHORT), color-coded exit labels (SL, TP, TRAIL, BE, STALE, FLIP, TIME), live SL/TP/trail level lines, trend background shading, EMA ribbon (21/50/200), and real-time info panel showing D1/H4 trend, ADX, RSI, session status, and position state. Built-in alerts for all entry and exit events. Backtested: +448% in 2025 (12/12 months profitable), +107% in 2026 Q1. Profit driven by TRAIL exits (100% WR, 83% of total profit). Robust across 10 synthetic market Monte Carlo scenarios (100% profitable, avg 78% of backtest performance). Piece and love.
Pine Script® 인디케이터
SNP_420의
Golden Pocket Syndicate Mini (GPSM)This indicator is an overlay toolkit that combines multi-timeframe Golden Pocket-style zones (Fibonacci-derived ranges between user-defined high/low ratios), optional GP-anchored VWAPs that reset when price interacts with the matching zone, and a confluence framework with optional visuals (signals, divergences, order-block-style markers, sweeps, trails). It is intended to help traders see where higher-timeframe ranges and optional filters overlap on the chart—not to automate trading or promise outcomes. What it does Pulls prior completed higher-timeframe highs/lows via request.security() and derives upper/lower pocket levels from your fib inputs. Plots pocket bands (and fills where used) for the timeframes you enable. Optionally plots volume-weighted averages anchored to touches of the corresponding pocket. Combines user-toggled filters into a confluence score and optional bull/bear markers; all signal logic can be turned off in settings. How to use Open settings, enable only the pocket timeframes and visuals you need. Adjust fib inputs, touch tolerance, and filter groups to match your process. If you use alerts, treat them as notifications only—confirm every trade in your own plan. Important limitations This is not financial, investment, or tax advice. Markets involve risk; past or hypothetical chart behavior does not guarantee future results. Higher-timeframe data and request.security() behavior depend on symbol, session, and chart timeframe. Validate outputs on your instruments before relying on them. Scripts cannot execute orders; you are responsible for compliance, sizing, and risk. Companion For separate 1H / 4H / 8H pocket bands (to reduce plot limits when combined with heavy scripts), use the author’s “Golden Pocket Syndicate mini” (GPSM) publication if offered. Golden Pocket Syndicate mini (GPSM) — public description Use this in the publication description field (English first). GPSM is a lightweight companion overlay focused on 1-hour, 4-hour, and 8-hour Golden Pocket-style zones: two fib ratios applied to the prior completed bar’s range on each timeframe, with optional filled bands and optional GP-anchored VWAPs (off by default) that reset when price touches the matching pocket. The 1-hour band can optionally switch color using a simple prior closed 1H close vs EMA rule so you can see a regime-style split at a glance. What it does Uses request.security() on "60", "240", and "480" minute timeframes with the same prior-bar anchoring idea as the author’s main GPS Pro script. Keeps the script small so it can run alongside heavier indicators without hitting Pine’s plot limits as quickly. How to use Add it to your chart, toggle 1H/4H/8H zones and fills, then optionally enable individual VWAPs. Match fib settings to your main workflow if you use GPS Pro on the same chart. Important limitations Not financial advice. No performance or profitability claims. Past chart behavior does not predict future prices. HTF behavior varies by symbol and session (especially 8H). Confirm levels on your market. You are solely responsible for trading decisions and risk. Relationship to GPS Pro GPSM does not duplicate the full confluence, SMC filters, or alerts stack from GPS Pro; it is meant as a focused HTF pocket + optional VWAP add-on.
Pine Script® 인디케이터
RickyTSpanish의
Triangle Pattern Detection [Dots3Red]Triangle Pattern Detection Indicator detects and draws triangle chart patterns in real time. The indicator identifies pivot highs and lows, validates converging trendlines, calculates the mathematical apex, and classifies each pattern by type. How it works The indicator scans for pivot highs and pivot lows using a configurable lookback length. Once two valid pivot highs and two valid pivot lows are found, it verifies that: The trendlines are genuinely converging (spread shrinks from left to right) No bar between the pivots violates the trendline boundary The upper and lower patterns are aligned in time The pattern meets minimum and maximum width requirements If all conditions pass, the apex is calculated mathematically as the exact intersection point of the two trendlines, and the full triangle is drawn from the shared start bar to the apex. Pattern Types Detected Symmetrical Triangle — both lines converging toward each other Ascending Triangle — flat upper resistance, rising lower support Descending Triangle — declining upper resistance, flat lower support Rectangle — both lines near horizontal Visuals 🟡 Electric glow triangle ▼ / ▲ Pivot markers at pattern boundaries ( commented out in the code ) 🔵 Bullish breakout signal / 🔴 Bearish breakout signal with glow effect and stem line Number label at each triangle's start for cross-referencing with the info table Info Table (top right) Keeps a record of the last 5 detected triangles showing: Column - Description ID - Triangle number Type- Pattern classification Width - Pattern width in bars BO date - The day the price broke out from the triangle pattern Status - Live breakout status — Bull / Bear / Inside The Status column updates on every bar so you can see in real time whether price has broken out of any recent pattern. Settings Pivot Length - Sensitivity of pivot detection (1–10). Lower = more patterns Max Pattern Width - Maximum bars between first and second pivots Start Bar Alignment Tolerance - Max distance between the start of the upper and lower pivots of the triangle's sides Max Apex Distance - How far ahead the apex can project Min Pattern Width - Filters out patterns that are too narrow to be meaningful Breakout Threshold % - How far the price must close beyond the trendline to confirm a breakout Notes All triangles are drawn on the last bar only, avoiding repainting of historical patterns Breakout detection scans from the leftmost bar of the pattern to the apex, firing on the first confirmed close beyond the boundary Example on BTC 🪙 chart
Pine Script® 인디케이터
Dots3Red의
Reversal Entry ZonesReversal Entry Zones Reversal Entry Zones is an open-source reversal-structure indicator built around one specific analytical idea: a reversal zone becomes more meaningful when it is not drawn from a simple local pivot alone, but from a pivot that has been confirmed only after price reverses by a minimum threshold. This script is not designed to predict every turning point in advance, and it is not intended to behave like a generic zigzag clone, a simple support/resistance overlay, or a basic pivot marker that labels every local high and low without further confirmation. Its purpose is to identify confirmed reversal points only after price has moved far enough in the opposite direction, then convert those confirmed points into structured bullish or bearish reversal zones on the chart. The script also includes extension lines, optional projected zones, a synthetic path connecting one confirmed reversal to the next, and a status panel that summarizes the latest reversal state. These features are included to support chart structure analysis and review, not to imply future performance or automatic trade validity. :contentReference {index=2} :contentReference {index=3} OPEN-SOURCE NOTE This script is published open-source so users can inspect the logic directly, verify what the script is doing, and adapt parts of the workflow for their own research if they wish. Even though the code is open, this description is intentionally detailed because many TradingView users do not read Pine Script. The goal is for a user to understand what the script does, how it works, why its parts belong together, and how it may be used in practice without having to study the code line by line. OVERVIEW At a high level, the script does six things: 1. It tracks running highs and lows from a selected source stream. 2. It confirms a pivot only after price reverses by at least a minimum threshold. 3. It classifies the confirmed pivot as either bullish or bearish reversal structure. 4. It draws layered reversal visuals, including core and outer zones, reversal lines, and optional projected zones. 5. It can connect each confirmed reversal to the next using a synthetic path. 6. It summarizes the current structural state in a compact status panel. The script is therefore meant to function as a complete reversal-structure mapping tool rather than as a single-purpose pivot or line-drawing script. :contentReference {index=4} CORE IDEA Many structural tools label local highs and lows immediately, but they do not distinguish clearly between a temporary pause and a reversal that has actually been confirmed by sufficient opposite-side movement. This script is built around the idea that those two situations are not necessarily equivalent. A local high is not automatically a bearish reversal. A local low is not automatically a bullish reversal. This script waits for price to reverse by a threshold that is large enough to qualify before it confirms the prior pivot as a true reversal point inside the script’s own logic. That is the core of the model. Instead of saying: “a pivot exists here, so draw structure now,” the script says: “track the current swing extreme, and only confirm it as reversal structure after price has moved far enough away from it.” That makes the framework more selective than a simple high/low labeling tool. The script therefore organizes reversal structure in the following sequence: track active swing highs and lows, wait for a sufficient opposite move, confirm the prior pivot only after that threshold is met, classify the reversal as bullish or bearish, then map that reversal into a layered zone and line structure for review. That narrower focus is the main reason the script exists in its current form. :contentReference {index=5} :contentReference {index=6} WHY THIS SCRIPT IS NOT A SIMPLE MASHUP This script combines multiple components, but they are not included simply to place more features into one publication. Each component has a specific function inside the same analytical process: - The running high/low engine tracks the currently active swing state. - The reversal-threshold model decides when a prior extreme is actually confirmed as a reversal. - The selected source mode controls whether the model works from smoothed averages or raw highs/lows. - The layered zone display turns each confirmed reversal into a readable structural area rather than a single line. - The reversal lines extend the confirmed level forward for later reaction analysis. - The synthetic path shows how one confirmed reversal connects to the next. - The panel summarizes the most recent reversal state and current threshold context. These layers are interdependent. Without the running high/low engine, there is no active swing state to monitor. Without the threshold model, the script would behave more like a basic pivot high/low marker. Without the source-mode selection, the user could not control whether the structure is smoother or more reactive. Without the zone display, the confirmed reversal would remain only a point or line rather than a readable area. Without the reversal lines, later interaction with the level would be harder to monitor. Without the synthetic path, the sequence of reversals would be less visually coherent. Without the panel, the user would have less organized feedback about the latest confirmed reversal, threshold level, and current tracking state. For that reason, the script is intended as a single reversal-confirmation framework, not as a random collection of unrelated visual elements. :contentReference {index=7} :contentReference {index=8} WHAT THE SCRIPT DOES The script monitors price using either: - raw High/Low values, - or an Average-based stream built from smoothed highs and lows. It then tracks the current running swing in one direction until price reverses far enough to meet the active reversal threshold. Once that happens: - the prior extreme is confirmed as a reversal point, - the script classifies it as bullish or bearish, - stores its bar index and price, - draws a layered visual structure around that level, - optionally extends a projected zone forward, - and updates the panel with the new structural information. Depending on settings, the chart can show: - bullish reversal labels, - bearish reversal labels, - outer reversal boxes, - core reversal boxes, - optional projected reversal zones, - reversal level lines, - synthetic path segments, - and a status panel. This means the script is not attempting to generate trade entries by itself. It is building a structured visual map of confirmed reversal locations according to the script’s internal threshold model. :contentReference {index=9} HOW THE SCRIPT WORKS 1) SOURCE MODE The script can work from two different source modes: Average High/Low In High/Low mode, the script uses raw highs and lows directly. In Average mode, the script uses smoothed high and low streams based on the selected Average Length. This distinction matters because the selected source changes how reactive the structure engine is. High/Low mode is more direct and can react more closely to raw price extremes. Average mode is smoother and can reduce noise by filtering those extremes through an averaging process. This allows the same reversal-confirmation logic to operate in either a more reactive or more smoothed structural mode. :contentReference {index=10} 2) EXTRA CONFIRMATION BARS The script includes an Extra Confirmation Bars setting. This offsets the source references used by the reversal engine and effectively delays how the script interprets the active high/low streams. That allows the user to add an additional confirmation delay before reversal recognition is evaluated. In practical terms, this can make the script less reactive and help reduce immediate local noise around current bars. :contentReference {index=11} :contentReference {index=12} 3) REVERSAL THRESHOLD MODEL The script does not confirm reversals from pivots alone. It uses a threshold model built from three elements: - ATR, - a preset percentage factor, - and a custom absolute minimum reversal value. The final reversal threshold is the maximum of those elements. This matters because the script wants to avoid confirming a reversal from movements that are too small to be meaningful under current market conditions. In the current implementation, the threshold is derived from: - the selected preset’s ATR multiplier, - the selected preset’s percentage factor, - current ATR, - current close, - and the Custom Absolute Reversal input. The threshold is therefore adaptive rather than completely fixed. It reflects both current volatility and a hard minimum floor. :contentReference {index=13} 4) SENSITIVITY PRESET The script includes a preset-based sensitivity model. In the version you shared, the available presets are: - Low - Very Low Those presets change the internal ATR multiplier and percentage factor used inside the reversal threshold model. This means the preset is not just a cosmetic label. It directly changes how selective the reversal engine is. A stricter preset requires a larger move before a reversal is confirmed. A less strict preset allows reversals to be confirmed more easily. That makes the preset one of the key inputs controlling how much structure the script draws. :contentReference {index=14} 5) RUNNING SWING ENGINE The script maintains a running high and running low state. When it is monitoring an upward swing, it continues updating the running high until price reverses by at least the required threshold. When it is monitoring a downward swing, it continues updating the running low until price reverses by at least the required threshold. Only after that opposite-side movement is large enough does the script confirm the prior extreme as an actual reversal point. This is the central mechanism that separates the script from simple pivot markers. It does not mark the pivot at the moment it forms. It waits for the reversal to prove itself by moving far enough away. :contentReference {index=15} 6) BULLISH AND BEARISH REVERSAL CLASSIFICATION Once a pivot is confirmed, the script classifies it as either: - bullish reversal, - bearish reversal. A confirmed low pivot becomes a bullish reversal. A confirmed high pivot becomes a bearish reversal. The script then stores: - the reversal direction, - the reversal price, - and the reversal bar. These values are also used by the panel and optional synthetic path logic. :contentReference {index=16} 7) LAYERED ZONE DISPLAY When a reversal is confirmed, the script can draw multiple structural layers around that level. These include: - an outer box, - a core box, - and, if enabled, an optional projected zone. The core and outer boxes are centered on the confirmed reversal price and scaled using a volatility-aware half-range derived from ATR and relative price size. This layered approach is important because it gives the user more than a single line. It creates a visually interpretable reversal area with inner and outer structure. The optional projected zone extends the reversal level forward as a narrower zone based on the user-defined thickness percentage and extension length. This can help the user monitor how price interacts with the reversal area after it has been confirmed. :contentReference {index=17} 8) REVERSAL LINES The script can draw a glow line and a main reversal line at the confirmed reversal level. These lines extend forward by the selected Reversal Line Extension setting. The purpose of these lines is to make the confirmed reversal level easier to monitor after formation. The thicker glow line improves visibility, while the main line provides the clearer structural reference. :contentReference {index=18} 9) REVERSAL LABELS If enabled, the script places a bullish or bearish reversal label at the confirmed reversal zone. These labels are not trade commands. They are structural tags that tell the user which kind of reversal the engine has confirmed and where that confirmation occurred according to the script’s logic. :contentReference {index=19} 10) SYNTHETIC PATH The script can optionally connect one confirmed reversal to the next using a synthetic path line. This path is not a price forecast and it is not an order-flow model. It is simply a structural visualization that helps the user follow the sequence of confirmed reversals over time. This can be useful for understanding whether confirmed reversal points are alternating in a way that creates readable turning structure or whether the market is moving more erratically. :contentReference {index=20} 11) STATUS PANEL The panel summarizes the most recent state of the reversal engine. Depending on the current chart state, it can show: - the latest signal type, - the last signal price, - bars since the last reversal, - current threshold value, - ATR value and active zone count, - whether the engine is currently monitoring for a bullish or bearish reversal, - preset and source mode. This panel is not meant to predict the next reversal. Its purpose is to organize the script’s current state into a readable summary. :contentReference {index=21} WHAT MAKES THIS SCRIPT ORIGINAL This script uses familiar building blocks such as: - pivots, - ATR, - price-percentage thresholds, - smoothed price streams, - projected zones, - panel summaries. Those building blocks are not original by themselves. The originality of this script is not in inventing a completely new primitive indicator. The originality lies in how those familiar elements are arranged into one confirmed-reversal workflow: running swing tracking → adaptive reversal-threshold calculation → delayed pivot confirmation → bullish/bearish reversal classification → layered reversal visualization → optional projected zone extension → synthetic path mapping → structural status panel That full sequence is the main reason this script exists as its own publication. It is not intended to be simply another pivot script, another ATR-based filter, or another generic dashboard. It is specifically a reversal-confirmation framework that combines threshold-based pivot confirmation, layered reversal-zone display, structural sequencing, and chart-state review in one workflow. :contentReference {index=22} :contentReference {index=23} WHAT APPEARS ON THE CHART Depending on settings, the chart may display: - bullish reversal labels, - bearish reversal labels, - outer reversal boxes, - core reversal boxes, - projected reversal zones, - reversal level lines, - synthetic path lines, - and a status panel. Users who want a cleaner chart can disable some visual layers and keep only the elements most relevant to their workflow. :contentReference {index=24} HOW TO USE THE SCRIPT A practical workflow is: 1. Add the script to a standard candlestick chart. 2. Choose whether you want to work from Average mode or raw High/Low mode. 3. Set the Average Length if Average mode is used. 4. Set ATR Length and Custom Absolute Reversal so the threshold model matches the instrument’s behavior. 5. Choose the preset that gives the level of selectivity you want. 6. Decide whether to show reversal labels, projected zones, and synthetic path. 7. Watch for newly confirmed bullish or bearish reversal areas. 8. Use reversal lines and projected zones to observe how price behaves around those confirmed levels. 9. Use the synthetic path and recent reversal sequence as structural context rather than as a predictive model. 10. Combine the script’s output with your own market framework, confirmation rules, and risk management. This script is best understood as a structured decision-support and chart-review tool, not as a self-sufficient automated trading solution. :contentReference {index=25} :contentReference {index=26} SETTINGS REFERENCE Confirmation Settings - Extra Confirmation Bars: adds additional confirmation delay to reversal recognition. Sensitivity - Preset: controls how selective the reversal engine is by changing the internal threshold model. Reversal Calculation - Swing Source: selects Average or High/Low logic. - Average Length: smoothing length used in Average mode. - ATR Length: ATR reference length used in the threshold model. - Minimum Absolute Reversal: hard minimum reversal filter. Zone Display - Show Reversal Labels: shows or hides bullish/bearish reversal labels. - Show Projected Zones: enables or disables forward reversal zones. - Max Zones: limits how many projected zones remain visible. - Zone Extension: controls how far projected zones extend. - Zone Thickness (%): controls the projected zone thickness relative to price. Reversal Lines - Reversal Line Extension: controls how far reversal lines extend. - Max Reversal Levels: limits how many reversal levels remain visible. - Label Size: controls reversal-label size. Synthetic Path - Show Synthetic Path: enables or disables the structural connection path. - Path Width: controls the width of the synthetic path. - Path Style: selects solid, dashed, or dotted display. - Max Path Segments: limits how many path segments remain on the chart. Colors - Bullish Color: sets the bullish reversal color. - Bearish Color: sets the bearish reversal color. - Synthetic Path Color: sets the synthetic path color. Status Panel - Show Status Panel: enables or disables the panel. - Panel Position: controls panel location. :contentReference {index=27} :contentReference {index=28} IMPORTANT PRACTICAL NOTES This script depends heavily on the selected threshold configuration. If the threshold is too small, reversals may be confirmed too frequently and the chart may become overly sensitive. If the threshold is too large, reversal confirmations may become very rare and the script may react too slowly for the intended use. The selected source mode also matters: - High/Low mode is more reactive, - Average mode is smoother. That means the same instrument can produce meaningfully different reversal structures depending on: - preset, - ATR length, - average length, - confirmation bars, - and custom absolute reversal settings. :contentReference {index=29} LIMITATIONS AND SHORTCOMINGS This script has important limitations: - It is a reversal-confirmation model, not a complete market-structure system. - It does not predict reversals before the threshold is reached. - It only confirms reversals after sufficient opposite-side movement has already occurred. - It does not include volume, order flow, fair value gaps, or broader context filters. - Its behavior depends heavily on ATR, preset sensitivity, source mode, and confirmation settings. - The synthetic path is a structural visualization, not a predictive model. - Projected zones are chart-analysis aids, not automatic entry or exit instructions. - Different instruments, sessions, and volatility conditions can materially change how frequently reversals are confirmed. - No reversal-threshold model can eliminate all false structure or all regime-dependent behavior. For those reasons, the script should be used as a structured analysis and review framework, not as a promise of future price direction. :contentReference {index=30} :contentReference {index=31} WHO THIS SCRIPT MAY BE USEFUL FOR This script may be useful for traders who: - want a threshold-based reversal confirmation tool, - want something more selective than a simple pivot marker, - want layered reversal zones rather than only single reversal lines, - want to visualize the sequence of confirmed reversals over time, - want a compact panel that summarizes the current structural state. It may be less suitable for traders who: - want a predictive signal tool, - want a full trade-execution system, - want a classic supply-and-demand engine, - want a very minimal chart with no structural overlays. DISCLAIMER This script is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Market conditions change, historical behavior does not guarantee future results, and users should perform their own analysis, validation, and risk management before using the script in live decision-making.
Pine Script® 인디케이터
trade_w_samet의
11
Blanco V1-(Custom TF + Super Signals)**Blanco V1 Trading System (Multi-Timeframe Confirmation)** Blanco V1 is a high-probability trading indicator designed to identify strong market opportunities using a combination of Zero Lag EMA, trend strength, momentum, and multi-timeframe confirmation. At its core, Blanco V1 uses a Zero Lag Exponential Moving Average (ZLEMA) to reduce delay and provide faster, more accurate trend signals compared to traditional moving averages. The system includes three trading modes: * **Aggressive Mode**: More signals with faster entries, ideal for lower timeframes and active trading. * **Balanced Mode**: A mix of accuracy and frequency, recommended for most traders. * **Conservative Mode**: Fewer but higher-quality signals, focused on strong trends and confirmation. Blanco V1 provides two types of trade signals: * **Entry Signals (Arrows)**: Small green and red arrows show potential entries based on pullbacks, momentum (RSI), and strong trend conditions (ADX). * **Trend Signals (BUY/SELL Labels)**: Larger labels appear when the overall trend shifts, signaling potential swing trades. A key feature of Blanco V1 is the **Multi-Timeframe Dashboard**, which displays trend direction across: * 5-minute * 15-minute * 30-minute * 1-hour * 2-hour * 4-hour Each timeframe is color-coded: * 🟢 Green = Bullish * 🔴 Red = Bearish The most powerful feature is the **Super Signal (❗)**: * A green ❗ appears when all timeframes are bullish and a valid buy setup is present. * A red ❗ appears when all timeframes are bearish and a valid sell setup is present. These signals represent the highest-probability trades, combining trend alignment, momentum, and full multi-timeframe confirmation. Blanco V1 performs best on higher timeframes such as 1H and 4H and in trending markets. For best results, combine with proper risk management and price action confirmation. --- **Quick Guide:** * 🔺 Arrows = entry timing * 🟢 BUY / 🔴 SELL = trend shifts * ❗ = strongest trades (full alignment)
Pine Script® 인디케이터
blancoaby01의
Breakout Trend Bar AlertsEvery trend has a starting point. It's rarely a gradual drift — it's one massive, decisive candle that breaks the market out of consolidation and kicks off a sustained move. Breakout Bar Alerts is built to catch that exact moment. The indicator monitors price action in real time and identifies when a bar forms that dwarfs everything around it — the largest high-to-low range of any candle in the last 250 bars. These are the bars where conviction enters the market, weak hands get flushed, and a new trend begins. When one appears, you get an instant alert so you're never late to the move. Why these bars matter: Big range bars represent a sudden surge of momentum and volume-backed commitment from one side of the market. Bulls or bears have taken control decisively. What follows is often the beginning of a trend leg — not a random spike. Built to filter out the noise: The opening bar of every session is excluded entirely. That first chaotic candle never skews your data or triggers a false signal. Only bars within your active session window are counted. Off-hours price action is completely ignored, so your benchmark is always built from real, tradeable market conditions. Three alert conditions — Bull Breakout Bar, Bear Breakout Bar, or Both — so you only get notified for the setups you actually trade. Inputs: Lookback Period — how many bars back to measure the largest range (default: 250) Enable Time Filter — restricts detection and calculations to your active trading session Active Session — define your session window in exchange time Bull / Bear colors — fully customizable Best used on intraday timeframes (1m – 15m) on futures, forex, or high-volume equities. When this fires, pay attention — the trend may already be starting.
Pine Script® 인디케이터
confidencewindow의
QTP - Stoch MTFQTP - Stoch MTF ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 Overview The QTP Stoch MTF is a professional multi-timeframe Stochastic oscillator that delivers clean, filtered crossover signals directly onto your price chart. It runs a fully configurable %K/%D Stochastic in a lower panel with the ability to pull data from any higher timeframe — and projects buy/sell arrows on the main chart so your price action stays uncluttered. An optional second Stochastic on an independent timeframe can be overlaid for dual-timeframe confluence analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Signal Modes ◆ Strict Cross Mode — %K must be past the overbought or oversold level AND cross %D to trigger. This filters out weak mid-range crossovers and only fires at genuine exhaustion points where momentum is reversing from an extreme. Produces fewer, higher-quality signals. ◆ Any Cross Mode — Fires on every %K/%D crossover regardless of whether the stochastic is at an extreme level. Faster entries, useful in strong trending conditions where price doesn't always reach the OB/OS zones before reversing. Both modes can be enabled simultaneously with independent toggle controls for arrows and background highlights. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Key Features ◆ Multi-Timeframe Stochastic — Use the current chart resolution or select any custom timeframe. A 5-minute chart can display a 1-hour or daily stochastic for higher-timeframe context without switching charts. ◆ Optional 2nd Stochastic Overlay — Independent length, smoothing, and timeframe settings. Overlay a daily stochastic alongside a 1-hour stochastic to spot confluence zones where both timeframes agree. ◆ Main Chart Signal Arrows — Green triangle below bar for bullish crossovers, red triangle above bar for bearish crossovers. Plotted directly on the price chart using force overlay — no separate indicator needed for signal visibility. ◆ Background Highlights — Color-coded background flashes on cross events for instant visual scanning across the oscillator panel. Toggle independently for strict and any-cross modes. ◆ OB/OS Zone Fill — Shaded region between the upper and lower threshold lines with configurable levels and optional midline. Quickly identify when the stochastic is in the danger zone. ◆ Fully Configurable — Adjust Length, Smooth K, Smooth D, upper line, lower line, and midline independently for both the main and 2nd stochastic. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 How To Use Add the indicator to your chart — the oscillator appears in a lower panel, buy/sell arrows appear automatically on the price chart. For swing trading, use the default settings (14, 3, 3) on a higher timeframe like 1H or 4H. Strict cross mode will filter signals to only fire at OB/OS extremes. For scalping, shorten the length (7-9) and use Any Cross mode for faster signal generation on 1m-5m charts. Enable the 2nd Stochastic for confluence — for example, set the main stochastic to your chart timeframe and the 2nd to the Daily. When both align in the same direction, signal conviction is highest. Use background highlights for quick scanning across multiple assets — a green or red flash instantly draws your eye to a fresh crossover event. The strict cross filter is recommended for most traders. It requires %K to be past the OB/OS threshold before the crossover counts, eliminating the choppy mid-range signals that cause false entries in sideways markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Settings Overview ◆ Main Stochastic — Length, Smooth K, Smooth D ◆ Levels — Upper line (default 80), Lower line (default 20), Mid line toggle ◆ Main Timeframe — Current chart or custom timeframe ◆ 2nd Stochastic — Independent length, smoothing, and timeframe ◆ Display — Toggle background highlights and signal arrows independently for strict and any-cross modes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool designed to assist with market analysis. It does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and perform your own due diligence before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Pine Script® 인디케이터
QTP-CB의
Trend Pullback DetectorDetects high-momentum impulse legs in real time and alerts you the moment they complete — so you're ready when the 50% retracement sets up. How it works The indicator scans for consecutive large bullish or bearish candles that together form a significant directional leg. When a qualifying run ends, it locks in two points: Leg A — the origin of the move (open of the first candle) Leg B — the terminus of the move (high/low of the last candle) From there it plots the 50% midpoint of the leg and watches for price to retrace into that zone. When price pulls back the right amount and begins to recover, it marks the Entry, Stop Loss, and Profit Target directly on the chart. Three alert conditions A/B Bull Leg Detected A/B Bear Leg Detected A/B Bull or Bear Leg Detected Set your preferred alert and get notified the moment a leg completes — giving you time to watch for the retracement before the next move begins. Key settings Min Consecutive Candles — how many qualifying candles define a leg Min Candle Size — filters out small or indecisive candles within the run Min Total Leg Size — ensures the full move is significant relative to current volatility (ATR-based) Retrace Zone — the pullback depth range that qualifies as a valid 50% setup (default 38–65%) Works on any market and timeframe. Best used on liquid instruments where momentum legs are clean and decisive — equities, ETFs, futures, crypto.
Pine Script® 인디케이터
confidencewindow의
Q Squeeze MomentumQ Squeeze Momentum Markets move in phases. Before strong moves begin, price often goes through a period of compression where volatility becomes very low. Eventually that pressure releases and price begins to move with momentum. Q Squeeze Momentum helps traders visualize that process in a clear and intuitive way. The indicator combines volatility compression, momentum behavior, and trend direction into a single visual framework that is easy to interpret even for newer traders. What the Indicator Shows The indicator focuses on three key elements of price behavior: • Momentum • Trend direction • Volatility compression Together they provide context for understanding when the market is quiet, when momentum is building, and when conditions start to align. Momentum Histogram The histogram shows how momentum is evolving over time. Color interpretation: • Aqua → bullish momentum strengthening • Teal → bullish momentum slowing down • Orange → bearish momentum strengthening • Red → bearish momentum slowing down This allows traders to quickly see whether buyers or sellers are gaining or losing pressure. Trend Context The background color reflects the broader directional environment. Green background → Uptrend Red background → Downtrend This helps traders interpret momentum within the context of the overall trend rather than viewing it in isolation. Volatility Compression (Squeeze) Dots along the zero line highlight periods of volatility compression. When volatility contracts, the market is often building energy before the next expansion phase. These areas can help traders recognize moments when price activity may soon increase. Entry Markers Triangles appear when several conditions align: • The market exits a volatility squeeze • Momentum begins expanding • The trend supports the direction Green triangle → potential bullish momentum shift Red triangle → potential bearish momentum shift These markers highlight moments when market conditions begin to align and momentum may start to build. Status Table The table in the corner provides a quick overview of current market conditions: Momentum → current momentum state Trend → current directional bias This allows traders to quickly understand the market environment without interpreting every element of the indicator. How Traders Use It Traders often use this type of structure to: • identify momentum expansion after volatility compression • confirm trend continuation • filter trade setups • recognize shifts in market pressure The indicator is designed to support market analysis, not replace it. Important This script is a visual analysis tool intended to help traders better understand market conditions. It does not predict future price movement and should not be used as a standalone trading system. Always combine it with your own analysis and proper risk management. Trade with clarity — stay for quality.
Pine Script® 인디케이터
Quantora의
Sentiment SquareThe Sentiment Square is a multi-timeframe (MTF) and multi-length volume analysis tool designed for TradingView. It provides a top-down visualization of market conviction by calculating the ratio of bullish volume to total volume across 16 different data points simultaneously. 1.Core Logic: How it Works The indicator calculates a Bullish Volume Ratio (BVR) for every square in the grid. BVR = sum ( Volume of Up Candles)/ sum(Total Volume) X 100 Up Candle: Any candle where Close > Open . Total Volume: The sum of all volume within the lookback window. Each percentage represents the "Share of Power" held by buyers. For example, a value of 70% means bulls provided 70% of the volume, while bears provided the remaining 30%. 2. Visual Interface The indicator uses a Transposed Matrix layout to match standard top-down trading analysis: X-Axis: Timeframes : Moves from your lowest selected timeframe (Left) to your highest (Right). Y-Axis: Lookback Windows: Moves from short-term momentum (Top) to long-term structure (Bottom). Color Definitions Green (Bullish): The percentage is above your Neutral Max (default 55%). Brighter green indicates extreme conviction (>70%). Red (Bearish): The percentage is below your Neutral Min (default 45%). Brighter red indicates extreme selling (<30%). Gray (Neutral): The percentage falls between 45% and 55%. This indicates a "tug-of-war" or sideways consolidation where neither side has a decisive majority. Input Settings Timeframes Window: Select four different intervals (e.g., 15m, 1h, 4h, 1D). Speed Window: Set four different lookback lengths (e.g., 20, 50, 100, 200 bars). Neutral Zone: Adjust the sensitivity of the Gray boxes. A wider range (e.g., 40%–60%) filter out more noise but responds slower to new trends. How to Interpret the Data Vertical Alignment (Columns): If a whole column is Green, that specific timeframe is bullish across all horizons (from fast momentum to slow structure). Horizontal Alignment (Rows): If a whole row is Green, it means that specific "window length" is showing buying pressure across all timeframes. The "Waiting Time" Signal: When a box is Gray, the volume is balanced. Traders typically wait for the percentage to move out of the 45%–55% range before confirming an entry. Trend Resilience: If the 15M (tactical) squares turn Red while the 1D (structural) squares remain Green, the market is likely undergoing a healthy pullback rather than a total reversal. Technical Limitations Data Lag: Higher timeframe squares (like 1D or 4H) only update when their respective candles close. Volume Requirement: This indicator requires volume data. It is most effective on Centralized Exchanges (Stocks, Crypto, Futures). On Forex, it uses "Tick Volume," which serves as a proxy for activity. Common Trade Setup Examples By observing the transition of colors and percentages across the matrix, you can identify high-probability market conditions. 1.The Trend Continuation (The "Dip-Buy") Condition: The right-most columns (4H and 1D) and the bottom rows (100 and 200) are solid Green. Setup: The top-left squares (15M / 20 Window) flip to Red or Gray. Trigger: Wait for the 15M / 20 square to flip back to Green (above 55%). Logic: The macro structure is bullish; the red squares indicate a temporary pullback that has now found buyers. 2. The Volatility Squeeze (The "Wait for Breakout") Condition: A cluster of Gray squares (45%–55%) appears in the middle of the matrix. Logic: Volume is perfectly balanced between buyers and sellers. This often precedes a massive "expansion" move. Strategy: Avoid entering while the cluster is Gray. Wait for the majority of the cluster to flip to either solid Green or solid Red. 3. The Top/Bottom Exhaustion Condition: All 16 squares are Vibrant Green (above 70%) or Vibrant Red (below 30%). Logic: The market is "over-extended." While the trend is strong, the probability of a reversal increases because there are few buyers/sellers left to push the price further. Strategy: Tighten stop-losses or look for "Divergence" where the price makes a new high but the percentages in the 20-window start dropping toward 60%. Summary of the "Wait Time" Metric The closer a number is to 50%, the more "waiting time" is required. As the numbers move toward 0% or 100%, the market conviction is increasing, and the "actionable" window is opening. Additional Information: 1. Core Logic The Sentiment Square calculates the Bullish Volume Ratio (BVR) across 16 data points. It measures "Share of Power" by dividing the volume of "Up Candles" (where Close > Open) by the total volume within a lookback window. 2. Visual Grid Layout X-Axis (Timeframes): Displays user-selected intervals from lowest (Left) to highest (Right). Y-Axis (Lookback Windows): Displays "Speeds" from short-term momentum (Top) to long-term structural sentiment (Bottom). 3. Color Definitions Green (>55%): Bullish conviction. Bright green (>70%) signals extreme strength. Red (<45%): Bearish conviction. Bright red (<30%) signals extreme selling. Gray (45%–55%): Neutral "Waiting Time." Indicates volume balance or consolidation. 4. Common Trade Setups The Dip-Buy: Occurs when macro columns (Right) are Green but tactical squares (Top-Left) temporarily turn Red/Gray. Entry is triggered when tactical squares flip back to Green. Volatility Squeeze: Identified by a cluster of Gray squares. Traders wait for a majority of the cluster to flip to a solid color before entering. Exhaustion: When all 16 squares reach extreme vibrant colors, the market is over-extended, increasing the probability of a reversal.
Pine Script® 인디케이터
traderharikrishna의
1
Volatility Regime Switch [Metrify]VRS is a regime classifier that tries to separate two things most indicators mix together: direction and tradability. It doesn’t just ask "is price above/below a line?". it estimates whether the market is currently behaving more like a trend regime or a noise/chop regime, then adapts its switching logic and trailing structure accordingly. The output is a state machine (bull/bear) with a volatility-normalized corridor, plus explicit markers for switch accepted vs switch rejected. Core idea: switching should depend on regime Most trend flip tools fail in choppy markets because they apply the same confirmation rules everywhere. VRS tries to avoid that by measuring a continuous regime score: trreg ≈ how “trend-like” conditions are nsreg ≈ how “noise-like” conditions are That regime estimate is then used to: shape the trailing band distance (wider in chop, tighter in trend), change the required confirmation for a switch (more strict in noise), and demand follow-through after a candidate switch (acceptance check). Regime estimation: how it decides “trend-like” vs “noise-like” The regime score is built from three normalized features, then blended using inverse-variance weighting again: Efficiency ratio (ER): Measures directional efficiency: net displacement over a horizon vs total movement. Trends have higher efficiency; chop has lower. ADX-like trend strength: A custom ADX calculation is normalized (adxn), giving a bounded “trend strength” component. Volatility ratio (fast/slow): Compares fast ATR to slow ATR and normalizes it. This helps distinguish active expansion vs quieter conditions. These three components are combined into trreg (0..1). Noise regime is nsreg = 1 - trreg. The important part is it can behave differently when the market is structurally trending versus when it is structurally noisy. The anchor + adaptive bands: how the corridor is built VRS uses two EMAs: a fast EMA (emaf) a slower EMA (emas) It then creates an anchor that interpolates between them based on regime: when trend regime is strong (trreg high), the anchor leans toward the fast EMA (more responsive) when noise regime is strong (nsreg high), it leans toward the slow EMA (more stable) Band distance is bdist = volc * bmult, and bmult is also regime-dependent: in noise, bmult becomes larger → bands widen → fewer false flips in trend, bmult tightens → better trailing sensitivity Finally, the trailing bands (fup, flo) use a classic "non-decreasing band" logic similar to trailing-stop structures: the band only moves in the favorable direction unless price invalidates it, preventing constant band oscillation. Bias and conviction layer A switch is not triggered merely by close above/below a band. VRS computes conviction, which mixes: Intra-bar price action bias Two normalized elements are used: CLV (close location value) inside the candle range and body direction/strength relative to candle range. Both are Z-scored and squashed (atan-based) to avoid extreme outliers dominating. Trend bias Difference between fast and slow EMA, normalized by volatility, then Z-scored and squashed. Displacement breakout quality If price breaks above fup or below flo, it computes a breakout 'distance' normalized by volatility, then converts it into a Z-score relative to recent breakout behavior (dbullz, dbearz) These get blended into a conviction signal that is smoothed, and then compared against a dynamic trigger threshold built from the average + stdev of conviction magnitude. A flip should happen when price action + trend bias + breakout quality jointly exceed what is normal for this market recently. Practical reading notes VRS generally behaves best when read as "current regime context + boundary + switch events" rather than as a constant entry/exit engine. In trending conditions, the trail will tend to hug price more tightly and switches will be less frequent. In noisy conditions, the corridor widens and the script becomes more conservative, often producing rejected switch attempts rather than rapid flips. The rejected-switch markers (yellow X) are explicit evidence that the script detected an attempted regime change but did not see enough acceptance. For discretionary use, those rejection points can be useful as information about failed break attempts or lack of follow-through. This script is designed to be adaptive, but it still has structural constraints. It uses volatility normalization and regime weighting to reduce parameter brittleness, yet extreme regime changes (sudden volatility spikes, news-driven moves, illiquid gaps) can still cause behavior that looks late or 'overly strict', because acceptance and confirmation are intentionally conservative in high-noise conditions. Conversely, on very smooth trend legs, the trail can appear tight and switches may look clean, but that depends on how the chosen lengths match the instrument’s tempo. Also, because this is a state machine with acceptance logic, you should expect situations where price briefly breaks a boundary and then returns—those are exactly the environments that produce rejected switches. The indicator surfaces that behavior explicitly instead of hiding it.
Pine Script® 인디케이터
Metrify의
Adaptive Spectral Forecast [WillyAlgoTrader]📡 Adaptive Spectral Forecast is an overlay indicator that applies Goertzel spectral analysis to decompose price into its dominant cyclical components, reconstructs them as a harmonic sum, and then extrapolates the resulting waveform forward in time to generate a visual forecast with confidence bands. Signals fire when the forecast direction changes with sufficient signal-to-noise ratio and trend alignment — projecting where price is likely to oscillate next based on the cycles detected in recent history. This is a fundamentally different approach from trend-following or momentum-based indicators. Instead of asking "where is price going based on its direction and speed?", spectral analysis asks "what recurring cycles exist in this price data, and where do they project to next?" The Goertzel algorithm is a targeted frequency detector — it scans a range of cycle periods, measures the power (amplitude²) at each frequency, identifies the dominant peaks, computes their exact phase and amplitude via DFT projection, and recombines them into a multi-harmonic forecast that decays toward the adaptive trend as it extends into the future. 🧩 WHY THESE COMPONENTS WORK TOGETHER Raw price is a mix of trend, cycles, and noise. Attempting to forecast raw price directly fails because trend and cycles require different extrapolation methods: trend continues linearly, cycles repeat sinusoidally, and noise should not be extrapolated at all. This indicator solves the problem through decomposition and reassembly: EMA trend extraction → Hann-windowed detrending → Goertzel spectral scan → SNR peak detection → DFT coefficient extraction → Harmonic recombination with decay → Trend re-addition → Confidence bands Each stage addresses a specific challenge: — Trend extraction separates the slow directional component so it can be extrapolated linearly (via slope), not sinusoidally — Hann windowing reduces spectral leakage — without it, the finite data window creates false frequency peaks that contaminate the analysis — Goertzel scanning efficiently measures power at each candidate frequency without computing a full FFT — enabling targeted, adaptive-resolution frequency detection — SNR filtering ensures only cycles with meaningful signal strength are included — weak noise-level frequencies are discarded — DFT coefficient extraction computes the exact amplitude and phase of each selected cycle on un-windowed data (the Hann window is only for spectral scanning, not for coefficient calculation — this preserves correct amplitudes) — Harmonic decay causes the cyclic component to gradually fade toward the trend as the forecast extends forward — reflecting the reality that detected cycles have limited persistence — Confidence bands widen with √(bars ahead) × ATR, showing that forecast uncertainty grows with distance Removing any component breaks the pipeline: without detrending, the Goertzel scan detects the trend as a low-frequency "cycle". Without Hann windowing, spectral leakage creates phantom peaks. Without SNR filtering, the forecast includes noise-level harmonics that produce random oscillations. Without decay, the harmonic projection repeats forever at full amplitude (unrealistic). The full pipeline is required. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Goertzel spectral analysis for cycle detection. The Goertzel algorithm is a single-frequency DFT that computes the power at one specific period using a recursive formula: s0 = data + 2×cos(2π/period) × s1 − s2 After iterating through all N data points, the power is: (s1 − s2×cos(ω))² + (s2×sin(ω))², normalized by N² for cross-period comparability. The indicator scans every integer period from Min Cycle Period (default 8) up to N/2, with an adaptive step size: every period for fast cycles (≤30 bars), step of 2 for longer cycles (reducing computation without losing resolution where it matters most). For each period, the Goertzel power is computed, producing a power spectrum — a map of which cycle lengths carry the most energy in the current price data. This is fundamentally more targeted than an FFT. An FFT computes power at all frequencies simultaneously but at fixed resolution (determined by window size). The Goertzel approach allows scanning exactly the frequency range of interest with customizable resolution. 2️⃣ SNR-based peak detection with fallback. From the power spectrum, the indicator identifies local peaks (frequencies where power is higher than both neighbors) and computes the Signal-to-Noise Ratio for each: SNR = peak_power / mean_power_across_all_frequencies. Only peaks with SNR ≥ Min Cycle SNR (default 2.0) are accepted as genuine cycles — the rest are considered noise-level fluctuations. If no peaks pass the SNR filter (possible in highly random or trend-dominated price action), the algorithm falls back to the single strongest frequency. In this case, the dashboard displays "Weak*" strength and buy/sell signals are suppressed — the forecast is shown for visual reference only, but the indicator acknowledges that no reliable cyclical structure was found. The top N peaks (sorted by power, N = Harmonics Count, default 5) are selected as the dominant cycles. 3️⃣ DFT coefficient extraction on un-windowed data. For each selected cycle period, the indicator computes exact sine and cosine coefficients using standard DFT projection: a = (2/N) × Σ data × sin(2π × i / period) b = (2/N) × Σ data × cos(2π × i / period) Critically, this computation uses the raw detrended data (without Hann windowing). The Hann window was only applied for the spectral scan (to identify which frequencies are dominant). Using windowed data for coefficient extraction would distort the amplitude of the harmonics. This two-pass approach — windowed scan for detection, raw data for coefficients — is a key design choice that preserves forecast accuracy. 4️⃣ Harmonic extrapolation with configurable decay. The forecast is constructed by evaluating the harmonic sum at each future bar: forecast = trend_projection + Σ (a_k × sin(ω_k × t) + b_k × cos(ω_k × t)) × decay^(t − t_base) Where trend_projection = trend_last + trend_slope × bars_ahead (linear extrapolation of the EMA trend). The decay factor (default 0.97) causes harmonic amplitude to reduce by 3% per bar, so the cyclic component gradually fades and the forecast converges toward the trend line. At decay = 1.0, harmonics repeat at full amplitude forever (pure cycle projection). At decay = 0.95, they fade rapidly (forecast becomes trend-only within ~20 bars). Default 0.97 provides meaningful oscillation for the first 20–30 bars before fading. The forecast line is colored by segment: green segments where the forecast is rising, red where falling. Reversal dots mark predicted peaks and troughs. 5️⃣ ATR-based confidence bands with √t scaling. Uncertainty in the forecast grows with distance. The confidence band width is calculated as: band_width = ATR(14) × confidence_multiplier × √(bars_ahead) The √t scaling follows the mathematical principle that forecast variance grows linearly with time horizon (standard deviation grows with square root). The ATR provides the natural volatility scale of the instrument. At bar +1, the band is approximately ATR × multiplier. At bar +25, it's 5× wider. This gives a realistic visual envelope of where price might actually be, not just the central harmonic forecast. 6️⃣ 3-bar consensus forecast direction. Instead of using a simple "is the next bar higher or lower?" check (which is noisy), the forecast direction is determined by majority vote over 3 bars: The indicator evaluates the forecast at t+0, t+1, t+2, t+3 and counts upward moves: upVotes = (y1>y0 ? 1:0) + (y2>y1 ? 1:0) + (y3>y2 ? 1:0). If ≥2 of 3 transitions are upward → forecast direction is bullish. If ≤1 → bearish. This consensus approach prevents a single-bar oscillation from flipping the forecast direction. 7️⃣ Trend alignment filter for signal quality. When enabled (default on), buy signals require the EMA trend slope to be positive, and sell signals require negative slope. This prevents the indicator from generating counter-trend signals when a cycle oscillation temporarily points against the broader trend — which is the most common source of false signals in cycle-based systems. If the trend filter blocks a direction change, the forecast visualization still updates (you can see the cycle projection) but no signal label is emitted. Additionally, signals are suppressed when the SNR is below the minimum threshold or when the spectral scan fell back to a single non-significant frequency. 8️⃣ Adaptive trend extraction with linear extrapolation. The trend component is extracted using an EMA with configurable smoothing (default 30 bars), applied forward using the buildTrendArray function. The trend's slope is computed via weighted linear regression over the last 5 points of the trend array — providing a stable slope estimate that isn't dominated by a single bar. The trend is extrapolated linearly into the forecast: trend_forecast = trend_last + slope × i. This linear projection is appropriate for the short-term forecast horizon (15–55 bars) where trend curvature is typically negligible. 9️⃣ Historical fit visualization. The reconstructed harmonic sum + trend is plotted over historical data as a polyline, showing how well the detected cycles explain the actual price movement. This serves as an immediate visual validation: if the fit tracks price well, the detected cycles are meaningful. If the fit diverges significantly, the current market regime may not have strong cyclical structure (reflected in low SNR scores in the dashboard). The fit line is colored by trend direction (green for bullish slope, red for bearish) and decimated for performance (every 1–3 bars depending on lookback length). 🔟 Four presets with coordinated parameter scaling. — Conservative : lookback ≥ 150, harmonics ≤ 3, forecast ≥ 40 bars — stable, long-term cycles, less overfitting risk — Default : user settings unchanged — Aggressive : lookback ≤ 80, harmonics +1, forecast ≤ 25 — faster adaptation, more cycles included — Scalping : lookback ≤ 50, harmonics +2, forecast ≤ 15 — shortest window, most harmonics, very short projection Each preset adjusts lookback (spectral window), harmonics count (complexity), and forecast length (projection horizon) as a coordinated unit. Longer lookback needs fewer harmonics (the cycles are more stable). Shorter lookback needs more harmonics (to capture the faster fluctuations within the compressed window). ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Data collection: The last N bars (Analysis Lookback, default 144) of the selected price source are collected into an array, oldest first. Step 2 — Trend extraction: An EMA with the Trend Smoothing period (default 30) is applied across the array using a forward-pass recursive formula: trend = α × price + (1−α) × trend . This produces a smooth trend array. Step 3 — Detrending + Hann window: Each bar's trend value is subtracted from its price. The residual is multiplied by a Hann window: w = 0.5 × (1 − cos(2π×i/(N−1))). This isolates the cyclical component while minimizing spectral leakage at the data boundaries. Step 4 — Goertzel spectral scan: For each candidate period from minPeriod to N/2 (adaptive step: 1 for periods ≤30, 2 for longer), the Goertzel algorithm computes power. The result is a power spectrum across all scanned frequencies. Step 5 — Peak detection: Local maxima in the power spectrum are identified (power > both neighbors). Each peak's SNR is computed against the mean power. Peaks with SNR ≥ threshold are accepted. If none pass, the strongest single frequency is used as fallback (with "Weak*" marking). Step 6 — Coefficient extraction: For the top N peaks (by power), sine and cosine coefficients are computed via DFT projection on raw (un-windowed) detrended data. This gives exact amplitude and phase for each cycle. Step 7 — Forecast generation: The trend is extrapolated linearly using its 5-bar regression slope. Each harmonic is evaluated at future time steps with decay applied. The sum of trend + decayed harmonics produces the central forecast line. Confidence bands = ATR × multiplier × √(bars_ahead). Step 8 — Direction and signals: 3-bar consensus determines forecast direction. Trend filter and SNR check gate signal emission. Buy/sell labels appear on bar-close confirmation. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — the historical fit and forecast line appear on the last bar 2. The colored dotted line extending right is the forecast (green = rising, red = falling) 3. Colored dots (●) on the forecast mark predicted peaks and troughs 4. Dotted lines above and below = confidence bands (forecast uncertainty zone) 5. ▲/▼ labels = buy/sell signals when the forecast direction changes 👁️ Reading the chart: — 🟢 Green solid line on history = harmonic fit (uptrend slope) — 🔴 Red solid line on history = harmonic fit (downtrend slope) — 🟢🔴 Dotted line extending right = forecast (colored by direction: green rising, red falling) — 🔵 Upper/lower dotted lines = confidence bands (uncertainty grows with distance) — 🟢 ● dots = predicted troughs (potential support) — 🔴 ● dots = predicted peaks (potential resistance) — 🟢 ▲ below bar = buy signal (forecast changed to bullish) — 🔴 ▼ above bar = sell signal (forecast changed to bearish) 📊 Dashboard fields: — Trend: current EMA trend direction (Bullish / Bearish / Neutral) — Forecast: predicted direction (▲ Up / ▼ Down / — Flat) — Signal: current state (BUY / SELL / Bullish Bias / Bearish Bias / Wait) — Strength: cycle quality based on average SNR (Strong > 5.0 / Medium > 2.5 / Weak / Weak* = fallback) — Dom. Cycle: dominant cycle period in bars (e.g., "34 bars") — Cycles: how many cycles passed SNR filter vs. requested (e.g., "3 / 5") — Timeframe, preset, version 🔧 Tuning guide: — Forecast too noisy: reduce Harmonics Count (3), increase Min SNR (3.0+), increase Trend Smoothing — Forecast too smooth: increase Harmonics Count (5–7), decrease Min SNR (1.5), decrease Trend Smoothing — Cycles don't match price: increase Analysis Lookback (200+) for more stable cycle detection, or decrease for faster adaptation — Forecast fades too fast: increase Decay Rate toward 0.99–1.0 — Forecast unrealistic long-term: decrease Decay Rate toward 0.95, reduce Forecast Bars — Too many false signals: enable Trend Alignment Filter, increase Min SNR — Scalping 1–5M: use Scalping preset (lookback ≤50, 7 harmonics, 15-bar forecast) — Swing 4H–1D: use Conservative preset (lookback ≥150, 3 harmonics, 40-bar forecast) ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Analysis Lookback (default 144): spectral analysis window — the last N bars analyzed — Harmonics Count (default 5): how many dominant cycles to include in the forecast — Min Cycle Period (default 8): shortest cycle to scan for (bars) — Preset (default Default): Conservative / Default / Aggressive / Scalping — Trend Alignment Filter (default On): require trend-forecast agreement for signals 🔮 Forecast: — Forecast Bars (default 55): projection length into the future — Confidence Band Width (default 1.5× ATR): band multiplier — Trend Smoothing (default 30): EMA period for trend component — Harmonic Decay Rate (default 0.97): amplitude reduction per bar (1.0 = no decay) — Min Cycle SNR (default 2.0): signal-to-noise threshold for cycle acceptance 🎨 Visual: — Historical fit, trend line, reversal dots, confidence bands (all toggleable) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY — ticker, price, timeframe, time — 🔴 SELL — same fields Both support plain text and JSON webhook format. Signals are bar-close confirmed, direction-locked, trend-filtered, and SNR-gated. ⚠️ IMPORTANT NOTES — 📐 This is spectral analysis, not trend following. The indicator detects and projects recurring cycles. In markets with strong cyclical structure (commodities, forex majors, crypto with regular oscillations), it performs well. In news-driven or momentum-dominated markets with no cyclical structure, the SNR will be low and the forecast unreliable — the dashboard reflects this via the Strength reading. — 🚫 No repainting of signals. The spectral analysis runs on barstate.islast (updating the forecast in real time on the current forming bar). Signals only fire on the next barstate.isconfirmed bar, after the forecast direction has been set. This means the forecast line itself updates in real time (by design — it's a live projection), but buy/sell signals are confirmed and do not change retroactively. — 📊 The forecast is a projection, not a prediction. It shows where price would go if the detected cycles continue with their current amplitude and phase. Real markets introduce new information that disrupts cycles. The confidence bands reflect this growing uncertainty. Treat the forecast as a probabilistic zone, not a target. — 🔄 "Weak*" strength means no cycles passed the SNR filter and the indicator fell back to the single strongest frequency. In this state, signals are suppressed. The forecast is still shown for visual reference but should not be trusted for trading decisions. — ⚖️ The Hann window is applied only for spectral scanning , not for coefficient extraction. This is deliberate: the window prevents spectral leakage during frequency detection, but the un-windowed data preserves correct harmonic amplitudes for the forecast. — 📏 The forecast extends a fixed number of bars into the future. Accuracy degrades with distance — the first 10–15 bars are typically the most reliable. The confidence bands quantify this degradation visually. — 🛠️ This is a spectral analysis and forecasting tool , not an automated trading bot. It detects cycles, projects them forward, and generates directional signals — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Cycle periods adapt automatically to whatever timeframe you apply it on.
Pine Script® 인디케이터
WillyAlgoTrader의
AMT Multi-Ticker Imbalance Dashboard [AMT] + Strength/Age ScoreAMT Multi-Ticker Imbalance Dashboard + Strength/Age Score The AMT Multi-Ticker Imbalance Dashboard is a multi-asset volume imbalance scanner designed to detect, rank, and compare stacked buying or selling pressure across up to six symbols — all from a single chart. This tool does not rely on simple candle direction or trend signals. Instead, it builds a structured micro-profile of price and volume distribution over a rolling lookback window, then identifies stacked volume dominance inside price bins. The result is a real-time dashboard that highlights where aggressive participation is building — and how strong and fresh that imbalance is. What This Script Does This script: • Scans up to 6 user-defined tickers simultaneously • Builds a rolling price-volume profile over a configurable lookback • Detects stacked buy or sell imbalances inside price bins • Measures imbalance strength (stack size) • Tracks imbalance age (how recent it triggered) • Calculates a weighted strength score • Displays everything in a color-graded dashboard It functions as a cross-market orderflow pressure monitor, helping traders identify where initiative activity is expanding across correlated or leading assets. The Core Concept: Stacked Volume Imbalances Instead of evaluating the whole bar as bullish or bearish, the script: Takes the last Profile Lookback bars. Finds the highest high and lowest low. Divides that range into Profile Resolution bins (price slices). Inside each bin, it calculates: Total buy volume (close > open) Total sell volume (open > close) It then measures dominance: Buy imbalance = Buy volume ≥ threshold % of total volume Sell imbalance = Sell volume ≥ threshold % of total volume If multiple consecutive bins meet that dominance threshold, they form a stack. Stack size represents how many adjacent price zones show aggressive one-sided participation. Why Stacked Imbalances Matter Single imbalances can be noise. Stacked imbalances suggest: • Aggressive initiative activity • Strong directional conviction • Potential continuation pressure • Possible structural repricing The script only signals when the stack size meets or exceeds the Stack Size Trigger, filtering weak participation. Dashboard Columns Explained 1️⃣ Ticker The symbol being scanned. 2️⃣ Stack Displays: “X BUY” → number of consecutive buy imbalance bins “X SELL” → number of consecutive sell imbalance bins “—” → no qualifying imbalance 3️⃣ Bias Directional interpretation: Bullish Imbalance Bearish Imbalance Neutral 4️⃣ Score (Strength + Recency Weighted) The score combines: Stack Size × Age Weight Age weighting logic: New signal (age = 0 bars): 1.5x multiplier 1–3 bars old: 1.0x multiplier Older than 3 bars: 0.5x multiplier This means: • Fresh imbalances rank higher • Older signals decay in importance • Strong and new stacks visually dominate Color Logic Color intensity reflects both direction and weighted strength: Bullish Bright Green → Strong + Fresh Medium Green → Moderate Dim Green → Weak or Aging Bearish Bright Red → Strong + Fresh Medium Red → Moderate Dim Red → Weak or Aging Neutral = Gray This allows instant visual ranking across assets. Inputs Explained Profile Lookback Number of bars used to build the rolling profile. Smaller values: • Faster responsiveness • More reactive Larger values: • Smoother structure • More institutional footprint detection Profile Resolution Number of bins dividing the price range. Higher resolution: • More granular imbalance detection • More sensitive stacking Lower resolution: • Broader structural imbalance zones Bin Imbalance Threshold Minimum % dominance required to qualify. Default: 0.75 (75%) Higher: • Stronger conviction required • Fewer but more aggressive signals Lower: • More frequent but softer signals Stack Size Trigger Minimum consecutive imbalance bins required. This filters weak activity and prevents single-bin noise. Dashboard Position Choose where the table appears. How This Script Is Original This is not: • A delta oscillator • A cumulative volume line • A simple up/down volume ratio • A standard volume profile It uniquely combines: Rolling dynamic profile construction Per-bin dominance calculation Consecutive imbalance stacking Multi-ticker cross-asset scanning Age-weighted strength scoring Visual ranking dashboard Most imbalance tools operate on a single chart and focus on visual zones. This script transforms imbalance logic into a comparative, cross-market decision tool. How Traders Can Use It: Market Leadership Detection Identify which asset is currently driving momentum. Example: If IWM shows a fresh 5 BUY stack while SPX shows neutral → small caps may be leading risk appetite. Confirmation Tool Use imbalance confirmation before entering: • Breakouts • Acceptance above value • Fair value gap continuation • Sequence continuation setups Rotation Monitoring Watch for: • Bullish stacks turning neutral • Bearish stacks emerging in correlated assets • Leadership shifting across sectors Timing Advantage Fresh stacks (bright colors + high score) highlight where initiative flow is most recent — often before broader price expansion. Important Notes • Signals are calculated on the chart’s current timeframe. • Higher timeframes detect structural imbalance. • Lower timeframes detect short-term aggression. • This is a participation pressure scanner — not a standalone entry trigger. • Always confirm with structure, liquidity, and context. Summary The AMT Multi-Ticker Imbalance Dashboard transforms raw volume into structured imbalance intelligence. It tells you: • Who is dominant (buyers or sellers) • How strong that dominance is • How fresh it is • Which asset is leading I nstead of watching one chart, you monitor relative aggressive participation across six markets — in real time — with objective scoring and visual ranking. This allows traders to align with the strongest active pressure, avoid fading initiative flow, and improve timing precision through imbalance awareness.
Pine Script® 인디케이터
samb817의
2
RBM - Range Body MeasureRBM – Range Body Measure A structural strength indicator for intraday trend filtering and noise avoidance This indicator measures the quality of price movement using the Range Body Measure (RBM), a composite metric derived from normalized range expansion and candle body efficiency. RBM helps identify whether price action is clean and directional, or weak and choppy. 🔍 What RBM Measures RBM is built from two key structural components: Range Expansion EMA of (High − Low), normalized by ATR Captures how meaningfully price is moving relative to volatility Body Efficiency EMA of (Candle Body / Total Range) Measures how directional each candle truly is RBM combines these to produce a smooth structural score typically between 0 and 1. Low RBM = weak structure, chop, noise High RBM = strong directional structure, trend-friendly movement 🎯 Trend & Chop Zones Two adjustable thresholds define structural zones: 🔴 Chop Zone Highlighted only when RBM < Chop Threshold Only the area below the threshold is shaded Indicates low-quality, non-directional movement Useful to filter out no-trade periods 🟢 Trend Zone Highlighted only when RBM > Trend Threshold Only the area above the threshold is shaded Indicates strong structure suitable for directional trades The middle region is intentionally left unshaded to keep the chart clean. 🛡️ Built-In Safety Trend threshold automatically adjusted to be ≥ Chop threshold Chop shading disabled if threshold ≤ 0 Trend shading disabled if threshold ≥ 1 This ensures stable, predictable behavior regardless of user settings. 📌 Intended Use Cases Filtering low-quality market structure before entering trades Validating directional setups for CE/PE options or index futures Avoiding chop-heavy intraday periods Enhancing systems based on VWAP, MACD histogram Building multi-layer conviction models for trend trading
Pine Script® 인디케이터
gokul4trading의
BASCOOL_LibBASCOOL Library v1 Range–Body Structure Analysis Toolkit for Intraday Trading The BASCOOL Library provides high-quality, reusable Pine Script components for structural conviction analysis based purely on price action. It is designed for intraday traders who rely on volatility-adjusted range expansion and candle-body efficiency to identify strong, weak, or choppy market conditions. Included Functions rbm_from_ohlc() – Range–Body Measure (RBM) A volatility-normalized structure indicator that evaluates: Range Expansion: Smooth EMA of (High–Low), normalized by ATR → captures strength of movement relative to volatility Body Efficiency: Body-to-Range ratio smoothed with EMA → measures how much of the candle’s range is “directional” The RBM output is a smooth structural strength score typically between 0 and 1, where: High RBM → strong structure, clean movement, trend-friendly conditions Low RBM → compressed ranges, weak bodies, low-quality structure Flat RBM → choppy environment, avoid directional trades
Pine Script® 라이브러리
gokul4trading의
SuperTrend AI AdaptiveSuperTrend AI detects market regime shifts and adapts the band width automatically, then scores every trend flip with a 5-factor quality engine so you know which signals to trust. ◈ How It Works Standard SuperTrend has one fixed multiplier. It works great in trending markets but gets chopped apart in ranging conditions. This version solves that by detecting the current market regime and adapting in real time. The indicator classifies every bar into one of three regimes: TRENDING: ADX above threshold + normal ATR. Multiplier stays at base. SuperTrend works as intended. RANGING: ADX below threshold + compressed ATR. Multiplier tightens slightly for faster response. Band draws as a dotted line to warn you. VOLATILE: ATR expanding well above its historical average. Multiplier widens to absorb the noise and prevent false flips. The regime is determined by two factors: the ATR ratio (current ATR vs its moving average over the lookback period) and the ADX reading. This gives you a structural view of market conditions, not just price direction. ◈ Adaptive Multiplier When adaptation is enabled, the multiplier adjusts dynamically: In volatile regimes, the multiplier increases proportionally to how expanded the ATR is. This widens the band and filters out noise-driven flips. In ranging regimes, the multiplier drops to 85% of base. Tighter bands let you catch the transition when a real trend starts. In trending regimes, the multiplier stays at base. No adjustment needed when conditions are ideal. The multiplier is capped between 0.5x and 2x of your base setting so it never goes extreme. You can see the current adaptive multiplier in the dashboard at all times. ◈ AI Signal Scoring Every SuperTrend flip gets a quality score from 0 to 100 based on 5 factors: Volume Surge (0-20 pts): Volume on the flip bar vs 20-period average. Higher volume = more conviction behind the move. Displacement (0-25 pts): How far price closed beyond the band on the flip. Bigger displacement = stronger breakout. Trend Alignment (0-20 pts): Does the flip direction match the EMA trend? Aligned signals score higher. Regime Quality (0-15 pts): Signals in trending regimes score highest. Ranging regime signals get penalized. Band Distance (0-20 pts): How far price traveled to reach the band before flipping. Wider gap = more conviction. Bright signals (★) score above 70 and represent high-quality flips with multiple factors confirming. Dim signals (○) score 40-69 and are worth watching but carry more risk. By default only bright signals display. ◈ Visual System The band uses a neon glow effect (three layered plots) that makes it easy to track on any chart. The band color itself tells you the current regime at a glance: Green/red glow = trending regime, normal SuperTrend behavior. Amber glow = volatile regime, multiplier has widened to absorb noise. Gray dotted line = ranging regime, multiplier tightened, use caution. A subtle background tint appears during volatile (amber) and ranging (gray) periods so you can see regime context without looking at the dashboard. Both the glow and background tint can be toggled off in settings. The gradient fill between price and band is available but off by default. Enable it in settings if you prefer that style. ◈ How to Read the Dashboard ST AI ◈: header Trend: current SuperTrend direction (▲ BULLISH / ▼ BEARISH) with bias label Regime: current market classification (TRENDING / VOLATILE / RANGING) with ATR ratio EMA: whether the trend EMA agrees with SuperTrend direction (✓ ALIGNED / ✗ COUNTER) Multiplier: current adaptive value vs your base setting ADX: trend strength reading with visual bar Signal: last signal state with score in points ◈ Recommended Settings Forex (EUR/USD, GBP/JPY) 1H to 4H: ATR 10, Multiplier 3.0, Regime Lookback 40, ADX 14 Crypto (BTC, ETH) 1H to 4H: ATR 10, Multiplier 3.0, Regime Lookback 50, ADX 14 Scalping 5min to 15min: ATR 7, Multiplier 2.0, Regime Lookback 30, ADX 10 Swing trading Daily: ATR 14, Multiplier 3.5, Regime Lookback 50, ADX 14 Indices (NAS100, SPX500) 15min to 1H: ATR 10, Multiplier 2.5, Regime Lookback 40, ADX 14 For fewer signals: Raise Min Signal Score to 60+, increase cooldown For more signals: Lower Min Signal Score to 30, enable dim signals, reduce cooldown ◈ Key Features ✓ Non-repainting: all signals on confirmed bar close ✓ Regime-adaptive: multiplier adjusts to trending, ranging, and volatile conditions automatically ✓ AI signal scoring: 5-factor quality engine, 0-100 per flip ✓ Neon glow band: color shifts with regime state, visible at a glance ✓ Regime background: subtle tint shows volatile and ranging periods on the chart ✓ ADX integration: trend strength directly influences regime detection and scoring ✓ 7 alert conditions: bull/bear signals, AI-confirmed signals, trend flips, regime changes ✓ Clean dashboard: trend, regime, multiplier, ADX, and signal score in one panel ✓ 100% original code: not derived from any existing script ◈ What Makes This Different Standard SuperTrend uses a fixed multiplier. It works until the market changes character, then gives false flips until you manually adjust. This version detects the change and adjusts for you. The scoring tells you not just that a flip happened, but whether it is likely to be meaningful. A flip during a trending regime with high volume and strong displacement scores 85+. The same flip during a ranging regime with weak volume might score 45. Both are flips, but only one is worth trading. ◈ Disclaimer No indicator predicts the future. Regime detection is probabilistic, not certain. Use proper risk management and combine with your own analysis. Past performance does not guarantee future results. Happy trading.
Pine Script® 인디케이터
DefinedEdge의
3