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Amplitude State SimpleAmplitude State Simple Amplitude State Simple is a market behavior indicator designed to identify whether price movement is currently expanding, contracting, or remaining relatively stable by analyzing changes in swing amplitude over time. Rather than measuring trend direction alone, this indicator focuses on the magnitude of movement and compares recent swing behavior against a historical baseline to determine whether market activity is increasing, decreasing, or remaining balanced. The goal is to provide a simplified view of changing market conditions and help identify shifts in price behavior beneath the surface. Features: • Automatic swing amplitude detection • Multiple amplitude calculation methods: • Points • Percent • ATR Multiple • Compares recent swing behavior against historical averages • Automatic market state classification: • ▲ Expanding • ■ Stable • ▼ Contracting • Historical state ribbon visualization • Optional background state highlighting • State transition markers • Current-state icon display • Dynamic text labels • One-line summary table Potential use cases: • Identify increasing market activity • Detect contracting or slowing environments • Filter trades based on market conditions • Monitor transitions between regimes • Add confluence to existing systems • Study changing market behavior over time Interpretation: ▲ Expanding Recent price swings are becoming larger relative to historical behavior and market activity may be increasing. ■ Stable Recent swing behavior remains relatively balanced and consistent with historical movement. ▼ Contracting Recent price swings are becoming smaller relative to historical behavior and market activity may be compressing. Transition Markers Highlight when market conditions shift from one state to another. Historical State Ribbon 🟢 Green → Expanding 🟡 Yellow → Stable 🔴 Red → Contracting The purpose of this indicator is not to predict future price direction, but to provide insight into how market movement itself is changing and whether current behavior is becoming more active or more compressed. Settings Guide Pivot Left Bars Controls how many bars to the left are used to confirm swing highs and lows. Pivot Right Bars Controls how many bars to the right are used to confirm swing highs and lows. Amplitude Mode • Points → Uses raw price movement values • Percent → Measures swings as percentage movement • ATR Multiple → Measures swings relative to current volatility ATR Length ATR period used when ATR Multiple mode is selected. Recent Swings Number of recent swings used to represent current market behavior. Baseline Swings Historical swing sample used for comparison. Stable Threshold % Defines the range where movement is considered stable rather than expanding or contracting. Show Historical State Ribbon Displays historical expanding/contracting states. Show Historical Background Applies background coloring to historical market states. Show Transition Markers Displays markers when state changes occur. About TrendGenY Indicators TrendGenY indicators are built from market experience, creative concepts, and a constant pursuit of unique perspectives. Rather than following conventional ideas, the focus is on uncovering alternative insights and viewing market behavior through different angles to reveal information that traditional tools may overlook and help traders build a more meaningful edge in the market.
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của TrendGenY
MLP - BTC Breakout Probability [Deep Learning] [Open Source]I trained a single Multilayer Perceptron on 13 years of Bitcoin price history and open-sourced the result. Not because it's perfect, but because the idea is worth sharing. The concept is simple. Most breakout strategies are rule-based. Fixed levels, static conditions. This one is different, instead of predicting direction, the model learned the distribution of Bitcoin's daily price moves. You pick a threshold, it gives you the probability. Same model, any level. How to use it Pick a percentage threshold , by doing that you're asking the model to evaluate. When price breaks that level and the model is showing meaningful confidence, a label is shown on the chart.. Daily only. BTC only. Under the hood A lightweight Multilayer Perceptron (MLP) trained on ~4,700 daily candles of raw OHLC data from May 2009 to May 2022 . The architecture is two hidden layers (16→8), ReLU activations throughout, and a sigmoid output that squashes the result into a clean 0–1 probability score. ReLU keeps the internal representations sparse and non-linear, sigmoid makes the output as a probability. What makes this interesting is that the model didn't just learn a raw number, it learned the underlying distribution of Bitcoin's daily price moves. That's what allows a single model to answer probability questions across different thresholds rather than being hardcoded to one fixed level. The output isn't a prediction, it's a calibrated belief about where price is likely to go, derived from 13 years of market structure. Honest limitations Fat tails eat this model alive. The features are correlated and the model has no concept of liquidity. It underestimates the extremes. Daily timeframe only. Bitcoin only. Long only. This was built as a personal project, mostly for fun and to serve as a working example of how ML concepts can be applied to market data. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or a guarantee of future results. Past performance does not predict future returns. You alone are responsible for your trading decisions. Always test thoroughly in a simulated environment before trading with real capital.
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của finalTAboss
Market Volatility IndexMarket Regime: Pivot Density + Efficiency + ATR Compression A market regime detection tool designed to help identify whether price is currently behaving more like a trending market, ranging market, or transitioning environment. Rather than relying on a single metric, this indicator combines three independent market behavior measurements into a weighted composite score: • Pivot Density • Price Efficiency Ratio • ATR Compression/Expansion The goal is to provide context before entering trades so you can better align strategy selection with current market conditions. How It Works Pivot Density Measures how frequently pivot highs and lows occur over a lookback period. High pivot density: • More frequent reversals • More indecision • More likely ranging/choppy behavior Low pivot density: • Cleaner directional movement • Stronger trends Efficiency Ratio Measures: Net Movement ÷ Total Movement High efficiency: • Directional price movement • Stronger trend behavior Low efficiency: • Back-and-forth movement • Less directional conviction ATR Compression / Expansion Measures current volatility relative to historical volatility. ATR compressed: • Volatility contraction • Common during ranges or consolidation ATR expanded: • Increasing volatility • Common during stronger directional movement Composite Regime Score The three components are combined into a weighted score: 0 → Strong Trend Environment 1 → Strong Range Environment Default interpretation: 🟢 Trend Zone Range Score ≤ Trend Threshold 🟡 Transition Zone Between thresholds 🔴 Range Zone Range Score ≥ Range Threshold Background Colors Green Background • Trending conditions • Lower pivot density • Higher efficiency • Expanding volatility Yellow Background • Mixed or transitional conditions Red Background • Choppy/ranging conditions • Higher pivot density • Lower efficiency • Volatility compression Inputs Timeframe Calculation Timeframe Allows calculations from an alternate timeframe while remaining on the current chart. Wait Until Bar Close Uses confirmed higher timeframe values to reduce intrabar fluctuations and maintain consistency. Pivot Density Pivot Length Controls pivot sensitivity. Lower values: • More pivots • Faster response Higher values: • Fewer pivots • Smoother behavior Pivot Lookback Number of bars used for pivot density calculations. Efficiency Efficiency Length Controls how far back directional efficiency is measured. Lower values: • Faster reactions Higher values: • More smoothing ATR Compression ATR Length Length used for current volatility calculations. ATR Baseline Length Historical volatility average used for comparison. Weighting Adjust contribution of: • Pivot Density • Efficiency • ATR Compression Increasing a weight causes that component to have greater influence on the final regime score. Potential Uses ✓ Trend-following strategy filter ✓ Mean reversion strategy filter ✓ Avoiding choppy conditions ✓ Volatility regime detection ✓ Multi-timeframe market context ✓ Strategy optimization Notes This indicator is intended as an environment and context tool rather than a direct buy or sell signal generator. Market regimes constantly evolve, and understanding whether conditions favor trend continuation or mean reversion can help improve decision-making. Best used alongside: • Market structure • Trend tools • Volume analysis • Entry and risk management systems About TrendGenY Indicators TrendGenY indicators are built from market experience, creative concepts, and a constant pursuit of unique perspectives. Rather than following conventional ideas, the focus is on uncovering alternative insights and viewing market behavior through different angles to reveal information that traditional tools may overlook and help traders build a more meaningful edge in the market.
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của TrendGenY
Volume Surge AnalyzerVolume Surge Analyzer Volume Surge Analyzer is a volume-based chart study designed to help users observe relative volume expansion, volume acceleration, candle pressure, and buy/sell pressure balance. The script highlights normal volume activity, stronger volume burst conditions, high-RVOL warning areas, and a special gold-highlighted volume start condition after a quieter volume phase. It does not provide buy or sell recommendations. The purpose of this script is to help users study how volume expands and how candle structure may reflect relative buy or sell pressure. ──────────────────── Core Concept ──────────────────── Volume expansion can provide useful context when studying price movement. This script does not look at raw volume alone. It combines several volume and candle-based measurements: • Relative volume compared with a volume SMA • Volume expansion compared with the previous bar • Volume EMA and volume SMA relationship • Candle body pressure • Close location inside the candle range • Estimated buy and sell pressure balance By combining these elements, the script attempts to separate ordinary volume changes from more meaningful volume expansion conditions. ──────────────────── What This Script Shows ──────────────────── The script can display: • Volume bars • Volume SMA • Volume EMA • Optional RVOL line • Buy volume burst marker • Sell volume burst marker • High RVOL warning marker • Gold volume start highlight • Gold reference star • Buy / sell pressure gauge These elements are intended to make volume behavior easier to review visually. ──────────────────── How It Works ──────────────────── 1. The script calculates a volume SMA and volume EMA. 2. It calculates RVOL by comparing current volume with the volume SMA. 3. It measures volume expansion against the previous bar. 4. It estimates candle pressure using candle body size and close location inside the candle range. 5. It normalizes buy-side and sell-side pressure. 6. It checks whether volume is above its average and expanding with sufficient RVOL. 7. It classifies burst conditions as buy-side or sell-side depending on the pressure model. 8. It flags very high RVOL areas as possible exhaustion or warning conditions. 9. It highlights a gold volume start when volume expands after a quieter prior phase. ──────────────────── Gold Volume Start ──────────────────── The gold volume start condition is designed to highlight a specific type of volume change. It checks whether: • The previous area had relatively quiet volume • Current RVOL is above the selected threshold • Current volume expands compared with the previous bar • Current volume breaks above recent volume levels • Optional candle and buy-pressure filters are satisfied • The condition is not classified as an exhaustion warning This condition is not a trade signal. It is a visual reference for studying early volume expansion after quieter activity. ──────────────────── Buy / Sell Pressure Gauge ──────────────────── The gauge estimates the balance between buy-side and sell-side pressure. The pressure model uses: • Candle body direction • Candle body size relative to range • Close location inside the candle • Normalized buy and sell pressure On realtime bars, the script can optionally average pressure readings during the active candle to smooth the displayed value. This is an approximation based on candle structure, not actual order-flow data. ──────────────────── Inputs And Customization ──────────────────── Users can adjust: • Volume SMA length • Volume EMA length • RVOL threshold • Minimum expansion percentage • Exhaustion RVOL threshold • Minimum body pressure • Gold volume start sensitivity • Quiet volume lookback • Previous volume breakout lookback • Candle and pressure filters • Gauge position and size • Visual colors • Marker visibility • Optional RVOL line ──────────────────── How To Use ──────────────────── Use this script as a volume context tool. General interpretation examples: • Higher RVOL may show stronger participation compared with recent average volume. • Buy volume burst markers can help identify candles with stronger buy-side pressure and expanding volume. • Sell volume burst markers can help identify candles with stronger sell-side pressure and expanding volume. • High RVOL warning markers may appear when volume is unusually high and may require caution. • Gold volume start highlights can help users study early expansion after a quieter volume phase. This script should be used with independent analysis, risk management, and a defined trading plan. ──────────────────── Confirmation And Repainting Notes ──────────────────── Volume and candle pressure values update while the current candle is still forming. Users who want confirmed readings should evaluate values after bar close. The realtime pressure averaging option can update during the active candle, so the gauge may change before the candle closes. The script does not use future price data. ──────────────────── Limitations ──────────────────── This script does not predict future price movement. It does not provide buy or sell recommendations. The buy/sell pressure gauge is based on candle structure and does not represent actual exchange order flow. High volume can appear during continuation, reversal, exhaustion, or news-driven movement. In low-liquidity markets, volume spikes may be less reliable. This script should not be used as a standalone trading system. ──────────────────── Disclaimer ──────────────────── This publication is for educational and informational chart analysis only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All trading and investment decisions are the responsibility of the user. ━━━━━━━━━━━━━━━━━━━━ Volume Surge Analyzer Volume Surge Analyzer는 상대 거래량 확장, 거래량 증가 속도, 캔들 압력, 매수·매도 압력 균형을 관찰하기 위한 거래량 기반 차트 분석 보조지표입니다. 이 스크립트는 일반 거래량 흐름, 강한 거래량 Burst 조건, 높은 RVOL 경고 구간, 그리고 조용한 거래량 구간 이후 발생하는 Gold Volume Start 조건을 시각적으로 강조합니다. 이 지표는 매수 또는 매도 추천을 제공하지 않습니다. 목적은 거래량이 어떻게 확장되는지, 그리고 캔들 구조가 상대적인 매수·매도 압력을 어떻게 보여줄 수 있는지 관찰하는 것입니다. ──────────────────── 핵심 개념 ──────────────────── 거래량 확장은 가격 움직임을 분석할 때 중요한 참고 요소가 될 수 있습니다. 이 스크립트는 단순 거래량만 보지 않습니다. 여러 거래량 및 캔들 기반 측정값을 함께 사용합니다. • Volume SMA 대비 상대 거래량 • 전봉 대비 거래량 확장률 • Volume EMA와 Volume SMA의 관계 • 캔들 몸통 압력 • 캔들 범위 안에서 종가의 위치 • 추정 매수·매도 압력 균형 이 요소들을 함께 사용해 일반적인 거래량 변화와 더 의미 있는 거래량 확장 조건을 구분하려고 합니다. ──────────────────── 표시 요소 ──────────────────── 이 스크립트는 다음 요소를 표시할 수 있습니다. • 거래량 막대 • Volume SMA • Volume EMA • 선택 가능한 RVOL 라인 • Buy Volume Burst 마커 • Sell Volume Burst 마커 • High RVOL Warning 마커 • Gold Volume Start 강조 막대 • Gold reference star • Buy / Sell Pressure 게이지 이 요소들은 거래량 흐름을 시각적으로 더 쉽게 복기하기 위한 참고 자료입니다. ──────────────────── 작동 방식 ──────────────────── 1. Volume SMA와 Volume EMA를 계산합니다. 2. 현재 거래량을 Volume SMA와 비교해 RVOL을 계산합니다. 3. 전봉 대비 거래량 확장률을 측정합니다. 4. 캔들 몸통 크기와 캔들 범위 안에서의 종가 위치를 사용해 캔들 압력을 추정합니다. 5. 매수 측 압력과 매도 측 압력을 정규화합니다. 6. 거래량이 평균 이상이고 충분한 RVOL과 확장률을 보이는지 확인합니다. 7. 압력 모델에 따라 Burst 조건을 매수 측 또는 매도 측으로 분류합니다. 8. 매우 높은 RVOL 구간을 과열 또는 주의 조건으로 표시합니다. 9. 조용한 거래량 구간 이후 거래량이 확장될 때 Gold Volume Start로 강조합니다. ──────────────────── Gold Volume Start ──────────────────── Gold Volume Start 조건은 특정한 거래량 변화 구간을 강조하기 위해 설계되었습니다. 이 조건은 다음 요소를 확인합니다. • 이전 구간의 거래량이 비교적 조용했는지 • 현재 RVOL이 선택한 기준 이상인지 • 현재 거래량이 전봉 대비 확장되었는지 • 현재 거래량이 최근 거래량 수준을 돌파했는지 • 선택된 캔들 및 매수 압력 필터가 충족되었는지 • 과열 경고 조건으로 분류되지 않는지 이 조건은 매매 신호가 아닙니다. 조용한 거래량 구간 이후 발생하는 초기 거래량 확장을 관찰하기 위한 시각적 참고 지점입니다. ──────────────────── Buy / Sell Pressure Gauge ──────────────────── 게이지는 매수 측과 매도 측 압력의 균형을 추정합니다. 압력 모델은 다음 요소를 사용합니다. • 캔들 몸통 방향 • 캔들 범위 대비 몸통 크기 • 캔들 안에서 종가 위치 • 정규화된 매수·매도 압력 실시간 봉에서는 활성 캔들 동안의 압력 값을 평균화하여 표시값을 조금 더 부드럽게 보여줄 수 있습니다. 이 값은 캔들 구조를 기반으로 한 추정값이며, 실제 거래소 호가창 또는 주문 흐름 데이터가 아닙니다. ──────────────────── 입력값 및 설정 ──────────────────── 사용자는 다음 항목을 조정할 수 있습니다. • Volume SMA 기간 • Volume EMA 기간 • RVOL 기준값 • 최소 거래량 확장률 • 과열 RVOL 기준값 • 최소 몸통 압력 • Gold Volume Start 민감도 • 조용한 거래량 구간 확인 기간 • 이전 거래량 돌파 확인 기간 • 캔들 및 압력 필터 • 게이지 위치와 크기 • 시각 색상 • 마커 표시 여부 • 선택 가능한 RVOL 라인 ──────────────────── 사용 방법 ──────────────────── 이 스크립트는 거래량 흐름을 확인하는 보조도구로 사용할 수 있습니다. 일반적인 해석 예시는 다음과 같습니다. • 높은 RVOL은 최근 평균 거래량 대비 강한 참여를 보여줄 수 있습니다. • Buy Volume Burst 마커는 거래량이 확장되면서 매수 측 압력이 강한 캔들을 확인하는 데 도움을 줄 수 있습니다. • Sell Volume Burst 마커는 거래량이 확장되면서 매도 측 압력이 강한 캔들을 확인하는 데 도움을 줄 수 있습니다. • High RVOL Warning 마커는 거래량이 비정상적으로 큰 구간에서 주의가 필요할 수 있음을 보여줍니다. • Gold Volume Start는 조용한 거래량 구간 이후 초기 확장 구간을 관찰하는 데 사용할 수 있습니다. 이 스크립트는 독립적인 분석, 리스크 관리, 본인의 매매 계획과 함께 참고해야 합니다. ──────────────────── 확인봉 및 리페인트 안내 ──────────────────── 거래량과 캔들 압력 값은 현재 캔들이 진행되는 동안 계속 변할 수 있습니다. 확정된 값을 원하는 사용자는 봉 마감 이후 기준으로 확인해야 합니다. 실시간 압력 평균화 옵션을 사용하는 경우, 활성 캔들 동안 게이지 값이 변할 수 있습니다. 이 스크립트는 미래 가격 데이터를 사용하지 않습니다. ──────────────────── 한계 ──────────────────── 이 스크립트는 미래 가격 움직임을 예측하지 않습니다. 매수 또는 매도 추천을 제공하지 않습니다. Buy / Sell Pressure 게이지는 캔들 구조를 기반으로 한 추정값이며, 실제 거래소 주문 흐름을 의미하지 않습니다. 높은 거래량은 추세 지속, 반전, 과열, 뉴스성 움직임 등 다양한 상황에서 나타날 수 있습니다. 저유동성 시장에서는 거래량 급증 신호의 신뢰도가 낮아질 수 있습니다. 이 스크립트를 단독 매매 시스템으로 사용해서는 안 됩니다. ──────────────────── 중요 고지 ──────────────────── 본 게시물은 교육 및 정보 제공 목적의 차트 분석 자료입니다. 투자 자문, 매수·매도 추천, 특정 금융상품 거래 권유를 의미하지 않습니다. 모든 투자 판단과 그 결과에 대한 책임은 이용자 본인에게 있습니다.
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của AlphaSTARTIX
Choppiness Breakout Filter [forexobroker]Choppiness Breakout Filter gates Donchian breakouts behind the Choppiness Index regime so that breaks are only taken when the market is trending, not ranging. The unique angle is that the same Donchian break is treated as a tradable signal in a low-CI trending regime but suppressed as noise when CI is high and the tape is choppy. 🔶 ALGORITHM 1. Compute the Choppiness Index over the CI length: 100 x log10(sum of true range / (highest high - lowest low)) / log10(length). Low CI = directional/trending, high CI = ranging/chop. 2. Classify regime: trending when CI is below the Trend CI threshold; choppy when CI is above the Chop CI threshold. 3. Build a Donchian channel from the prior bar's highest high and lowest low over the breakout lookback. 4. A trend-filtered break is up when regime is trending AND close exceeds the Donchian high; down when trending AND close is below the Donchian low. An up-break sets bias +1, a down-break sets bias -1, and a choppy regime resets bias to flat. 5. Entry timing: in Break-Only mode the signal is the filtered break bar itself; otherwise a close crossover (long) or crossunder (short) of the reclaim EMA in the prevailing bias direction times the entry. Cooldown, position-lock, and bar-close confirmation apply. Non-repainting. 🔶 SIGNAL LOGIC - Buy: in-session AND ((Break-Only: trending up-break) OR (bias = +1 AND close crosses over the reclaim EMA)) AND position not already long AND cooldown elapsed AND barstate.isconfirmed (then position locks long). - Sell: in-session AND ((Break-Only: trending down-break) OR (bias = -1 AND close crosses under the reclaim EMA)) AND position not already short AND cooldown elapsed AND barstate.isconfirmed (then position locks short). - Only fires when the Choppiness Index regime gate is satisfied (breakouts blocked while choppy). 🔶 INPUTS - Choppiness group: bars the Choppiness Index is computed over; default Choppiness Length 14. - Trend gate: CI level below which breakouts are enabled; default Trend CI Threshold 45.0. - Chop gate: CI level above which breakouts are blocked and bias resets; default Chop CI Threshold 61.8. - Breakout lookback: Donchian length the close must break; default Breakout Lookback 20. - Volatility reference: ATR length for the dashboard; default ATR Length 14. - Signal Logic group: entry reclaim EMA, break-only mode, cooldown; default Entry Reclaim EMA 9. - Cooldown: minimum bars between signals; default Cooldown Bars 5. - Filters group: optional session restriction and session window; default Restrict to Session off. - Visual group: Donchian display, dashboard, 3-layer glow, buy/sell colors, dashboard background. 🔶 ALERTS CBF Buy, CBF Sell, CBF Any Signal, CBF Break Up, CBF Break Down, CBF Trend On, CBF Chop On, CBF EMA Up, CBF EMA Down, CBF CI Trend Cross, CBF Bias Bull, CBF Bias Bear, CBF Webhook JSON. 🔶 LIMITATIONS - The Choppiness Index needs its full window to stabilise, so the first CI-length bars are warm-up and the regime read is unreliable there. - The Donchian channel uses the prior bar's extremes, so the broken level is fixed one bar before the break confirms. - The CI regime gate filters but does not predict; a trending classification describes recent directionality, not future follow-through. - Default CI thresholds are tuned for liquid instruments; very low or very high volatility regimes may need re-tuning. - Entries confirm on bar close, so the break or reclaim cross is acknowledged with one-bar lag versus intrabar price.
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của forexobroker
Pvt Fibo S&R to Target 12Pvt Fibo S&R to Target 12 is an institutional-grade breakout and automated target management engine built completely on classical Daily/Weekly/Monthly Pivot Points and Fibonacci Support/Resistance (S/R) levels. Instead of chasing lagging signals, this script monitors the heavy institutional liquidity pools yoked tightly to major horizontal key levels. By processing live price action through three selectable algorithmic breakout frameworks simultaneously, it provides non-repainting, highly optimized breakout signals coupled with an automated 2-tier take-profit sequence. 🎯 The 3 Multi-Mode Algorithmic Breakout Engines To adapt to varying market environments, the script operates 3 distinct breakout styles (all active by default to maximize strategic flexibility): Mode 1 (Volume & Candle Anatomy Expansion): Triggers only when the main pivot line is violated by a candle with significant volume (surpassing its 20-period SMA) and a tightly packed, dominant body ratio (Marubozu style). This mode filters out low-volume institutional retail traps (fakeouts). Mode 2 (Direct Raw Momentum Breakout): Fires immediately upon a raw crossover/crossunder of the key horizontal line. It completely strips away filters to capitalize on sudden, news-driven, hyper-aggressive market expansions where speed is paramount. Mode 3 (Safe-Zone Hold Confirmation): A strict trend-verification system designed for conservative execution. Rather than reacting to the initial breach, it tracks market absorption by requiring the price to successfully close and hold on the breakout side for X consecutive bars without slipping back across the line. 💰 Automated Target Lifecycle Management (Target 1-2) The script is natively engineered with a stateful order sequence controller optimized for webhook routers like WunderTrading. It eliminates manual intervention by actively trailing the position's lifecycle: The Entry: When any selected Mode condition is met, an entry signal (L1/L2/L3 or S1/S2/S3) prints visually on the chart and triggers the entry webhook message. Target 1 (Partial Take-Profit): The exact moment the live price breaches the first major Fibonacci extension line (R1 for Longs, S1 for Shorts), a TARGET-1 alert fires. This allows automated bots to scale out partially or move stops to break-even. Target 2 (Take-Profit & Position Liquidation): When the price strikes the primary institutional target line (R2 for Longs, S2 for Shorts), a TARGET-2 alert fires. Simultaneously, the internal position script state completely resets to zero, terminating the trade lifecycle securely without needing to wait for a lagging opposite signal. 🛠️ Key UI Parameters for Fine-Tuning Pivot Calculation Period: Shift smoothly between D (Daily), W (Weekly), or M (Monthly) horizontal levels. Daily/Weekly lines are highly recommended for intraday timeframes. Volume Multiplier: Increase this value (e.g., 1.8 or 2.0) to restrict Mode 1 signals only to massive, institutional-sized volume anomalies. Min Candle Body Ratio (%): Filter out indecisive dojis or long-wick candles by demanding a solid, determined candle structure during breakout tests. Safe-Zone Bar Count (X): Adjust the number of consecutive candle closes required for Mode 3 validation before entering. ⚡ Best Testing Environments & Timeframes Top Performing Timeframes: * 15-Minute (15m) and 1-Hour (1h) charts provide the ultimate balance between asset noise reduction and massive intra-week trend capture. 5-Minute (5m) charts work excellent for scalpers, provided you raise the Volume Multiplier to counter micro-fakeouts. Optimal Trading Assets: * Cryptocurrencies: High-momentum majors (BTC, ETH) that experience explosive expansion out of tight sideways consolidation ranges. Indices & Commodities: NASDAQ (NAS100), S&P500, and GOLD (XAU/USD) due to their aggressive trend continuity when major daily key levels break. Forex Major Pairs: EUR/USD, GBP/USD, and USD/JPY during high-liquidity New York and London session overlaps.
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của lisabyco
SW Hybrid Bollinger Bands## Overview Welcome to the **SW Hybrid Bollinger Bands**, a modern take on the classic Bollinger Bands volatility indicator. Unlike traditional Bollinger Bands that strictly use the closing price and a single Simple Moving Average (SMA), this script dynamically calculates standard deviation bands based on both the **High** and **Low** price points of candles. Furthermore, it incorporates both **EMA (Exponential Moving Average)** and **WMA (Weighted Moving Average)** to provide a smoother, more responsive volatility channel. --- ## How It Works The indicator splits the volatility channels into two distinct zones: * **Green Channels (High-Based):** Calculated using the candle's *High* price, integrated with EMA and WMA. These act as ultimate dynamic resistance zones and momentum gauges for upside moves. * **Purple Channels (Low-Based):** Calculated using the candle's *Low* price, integrated with EMA and WMA. These serve as dynamic support zones and exhaustion areas during downward trends. * **Center Line (White):** A standard 20-period SMA to keep you anchored to the baseline trend. By blending EMA (which reacts faster to recent price action) and WMA (which emphasizes linear weight), the fills between these lines create unique **"Liquidity/Volatility Belts"** rather than single strict lines. --- ## How to Trade with It 1. **Trend Riding:** During strong uptrends, the price tends to float between the 20 SMA and the upper Green Channels. In strong downtrends, it stays between the 20 SMA and the lower Purple Channels. 2. **Reversals & Exhaustion:** When the price penetrates deep into the outer green or purple filled zones, it often signals an overextended market, hinting at a potential mean-reversion back to the white 20 SMA. 3. **Volatility Squeezes:** When the green and purple bands compress tightly towards each other, expect a massive explosive breakout soon. --- ## Release Notes * **Open Source:** Free for the community! Feel free to favorite, share, and modify. * **Version:** Pine Script v6 optimized. * **Clean Visuals:** Red color elements updated to sleek **Purple** for better chart readability and modern aesthetic. *Disclaimer: This script is for educational and informational purposes only. Past performance does not guarantee future results.*
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của SwSpace
Statistical Mean-Reversion Engine [SMRE]## Statistical Mean-Reversion Engine (SMRE) SMRE is an open-source mean-reversion indicator that combines a rigorous statistical core with up to eight optional confirmation layers, designed primarily for index-futures trading on intraday timeframes (1-minute through 1-hour). ### What it does For every bar, SMRE fits an Ornstein-Uhlenbeck (OU) process to the recent price series via linear regression on lag-1 prices, yielding four outputs: - **μ (the mean)** — the equilibrium price the series is reverting to - **θ (mean-reversion speed)** — how strongly the series pulls back to μ - **HL (half-life)** — how many bars it takes to revert halfway - **σ_eq (stationary residual variance)** — used to z-score the current price The current price's z-score against μ (the "OU Z") is the primary signal. When |OU Z| exceeds a configurable threshold, a mean-reversion entry is considered — but only after the script also confirms that the recent price series is genuinely stationary using three orthogonal statistical tests: - **Hurst exponent** must be below 0.55 (i.e., the series is not persistently trending) - **Augmented Dickey-Fuller** t-statistic must be below -2.86 (rejects unit root) - **Variance Ratio** test at q=4 must be below 1.0 (variance grows sub-linearly with horizon) If all four conditions pass, the L1 (statistical core) signal fires. ### Why the multi-layer structure (mashup justification) A single OU-based mean-reversion signal works well in stationary regimes but degrades in trending or volatile conditions. SMRE addresses this by validating each potential entry through up to eight orthogonal confirmation channels, each measuring something the others do not: - **L2 — Volatility Regime (6-state):** Classifies market state via VIX, ADX, and realized volatility. Suppresses signals during high-trend conditions (regime 6, "Spike") where mean-reversion historically fails. - **L3 — Spot-Futures Basis (Kalman filter):** Tracks the deviation between actual and theoretical futures pricing. Statistically significant basis dislocations often resolve via mean-reversion. - **L4 — Options Surface:** Computes ATM implied volatility from straddle pricing and a skew z-score from OTM put/call ratio. Optional; requires user to provide option symbols. - **L5 — Microstructure:** Blends rolling VWAP and session-anchored VWAP z-scores with VPIN (a volume-clock toxicity proxy) and order-flow imbalance. Captures flow-based exhaustion. - **L6 — Gamma Walls (GEX) OR Put-Call Ratio:** Two mutually exclusive options. GEX requires OI symbols at five strikes; PCR requires a single broker-published PCR feed. Both detect option-driven price magnets. - **L7 — Dispersion:** Rolling correlation of index returns with its top 5 constituent stocks' returns. High dispersion (low correlation) penalizes signals; high cohesion boosts them. - **L7b — Residual Dispersion:** Idiosyncratic residual z-scores (β-adjusted) per constituent. If 3 of 5 stocks show same-sign extreme residuals, the index is detached from constituents — strong mean-reversion candidate. - **L9 — Cross-Asset Stress:** Sigma-normalized stress across USD/INR, DXY, and crude oil. Penalizes signals during cross-asset hedging cascades. Each layer outputs a {direction, strength} pair. The Layer 8 fusion engine combines these via a weighted composite score (default weights: L1=0.28, L5=0.22, L3=0.18, L4=0.12, L6/L7b=0.10), then applies a regime multiplier (L2 × L7 × VRP × cross-asset × expiry), clamped to to prevent extreme compounding. If the absolute composite score crosses one of three thresholds (0.25 / 0.40 / 0.45 by default), a signal is fired at Scalp / Swing / Session horizon respectively. A TCA cost filter then validates that the expected move (distance to μ) exceeds estimated round-trip transaction cost; otherwise the signal is suppressed. ### Originality The author is not aware of any other public Pine script that implements the full OU-fit chain (mean, mean-reversion speed, half-life, stationary variance) together with all three stationarity tests (Hurst, ADF, Variance Ratio) directly in Pine v6 — every step is computed natively, no external library calls. Additionally, the session-anchored VWAP with running volume-weighted sigma bands, the rolling-beta residual dispersion across multiple constituents, and the Kalman-filtered futures-basis residual are original Pine implementations. The signal telemetry module (a 200-signal FIFO ring buffer with horizon × composite-magnitude bucket attribution) is also an original diagnostic tool. ### How to use 1. **Apply to an index futures chart.** Defaults are pre-configured for NSE NIFTY1! futures, but inputs allow any index — change the VIX symbol, spot/futures symbols, constituent symbols, and currency pairs. 2. **Read the compact dashboard.** It's a single 9-row table (default position: middle-right) showing only what you need to evaluate a setup: | Row | What it shows | What it means | |---|---|---| | Title | Profile + OU window in use | Confirms which calibration is active | | OU Z-Score | Z-score with half-life (HL) | How extended price is + how long mean-reversion typically takes | | Stat Validity | H / ADF / VR pass-fail | Whether the recent series is actually stationary (all 3 must pass) | | Regime | Volatility state + VIX value | Whether market conditions favor mean-reversion | | Composite | Fused score × regime multiplier | The unified signal strength | | Confluence | Layers agreeing (out of 6) | How many orthogonal signals support the direction | | TCA Edge | Expected move in bps + PASS/FAIL | Whether the trade clears transaction costs | | E / SL / TP | Entry, Stop, Target + Risk:Reward | The trade levels if a signal fires | | **DECISION** | Direction · Horizon · Side | The actionable output (green=long, red=short, gray=neutral) | 3. **Trade levels and markers.** When a signal fires, entry/stop/target lines auto-plot on the chart. Stop is ATR-based (default 1.2× ATR); target is min(OU mean μ, entry + 2× ATR). Triangle markers plot below (long) or above (short) the bar — small for Scalp, medium for Swing, large for Session. 4. **Optional diagnostic.** A separate Signal Telemetry table (disabled by default; enable via the "Show Telemetry Dashboard" input) tracks the last 200 signals' outcomes (win = price touched μ, loss = stop hit, expired = timeout) and reports hit rate by horizon × composite-magnitude bucket. This is a backward-looking diagnostic, not a backtest. ### Recommended chart and timeframe This indicator was developed and parameter-tested primarily on NIFTY1! futures. The OU window auto-mapping (1m→32, 2m→20, 5m→12, 15m→32, 30m→20, 1h→24) was selected empirically through parameter sweeps. Users on other instruments should expect to tune the OU window manually or accept the auto-mapped default as a starting point. The indicator works on any timeframe between 1 minute and daily, though intraday timeframes (1m through 1h) are where the multi-layer confluence adds the most value. ### Important notes - This is an **indicator**, not a strategy — no backtest equity curve is produced. The telemetry table is a descriptive measure of recent signal outcomes only. - Many layers are **optional**. If you don't have symbols for options OI, just leave those inputs blank; the script will redistribute composite weight naturally across the active layers. - Signals can fluctuate intra-bar before bar close, especially in real-time mode. For consistent behavior, evaluate signals on closed bars only. - The default constituents (top-5 NIFTY weights) need to be changed in the L7 inputs to use this on a different index. ### Disclaimer This indicator is published for educational and research purposes only. It is not financial advice, not an investment recommendation, and not a solicitation to trade. Past behavior of signals does not guarantee future results. Trading futures, options, and equities carries substantial risk of loss. You are solely responsible for your trading decisions. The author makes no representations about the accuracy, completeness, or suitability of this indicator for any particular purpose. Use at your own risk, and always consult a qualified financial professional before trading.
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của Market_Logic_India
1
Intermarket Flow OscillatorAdvanced Macro Regime Tracking & Apex Reversal Detection What is the Intermarket Flow Oscillator (IFO)? The Intermarket Flow Oscillator (IFO) is a quantitative momentum tool designed to track capital rotation between risk-on assets (growth, equities) and risk-off assets (defensives, bonds, safe havens). By utilizing advanced statistical normalization and John Ehlers' digital signal processing, the IFO visualizes structural market regimes and pinpoints high-probability exhaustion reversals. Whether you are trading swing setups on the daily chart or monitoring intraday capital flows, the IFO acts as a macro compass to keep you on the right side of institutional money. The Mathematical Engine Traditional spread indicators suffer from noise and asymmetric scaling. The IFO solves this using a two-step quantitative process: Z-Score Normalization: The script calculates the natural log ratio of a Risk Asset versus a Safe Haven asset, then applies a rolling Z-Score. This transforms the intermarket spread into a stationary stochastic process, making standard deviation thresholds mathematically reliable. John Ehlers' 2-Pole SuperSmoother: To eliminate high-frequency market noise without introducing the severe phase lag typical of moving averages, the Z-Score is passed through an advanced DSP filter. How to Read the Signals Trend Shifts & Structural Regimes (The Zero-Line) The smoothed oscillator crossing the zero equilibrium line indicates a macro shift in capital allocation. Green Cloud (IFO > 0): Structural Risk-On Regime. Institutions are accumulating risk/growth. Traders should look for long momentum setups and favor high-beta assets. Red Cloud (IFO < 0): Structural Risk-Off Regime. Capital is fleeing to safety. Traders should focus on cash preservation, defensive value, or short setups. Apex Mean-Reversion Turns (▲ and ▼) The script calculates the first derivative (Velocity) of the smoothed capital flow. When the oscillator reaches extreme statistical exhaustion thresholds (default ±1.5 standard deviations) and the velocity flips, the IFO prints a high-contrast triangle. Bullish Apex (▲): Occurs deep in negative territory (panic/capitulation). Represents a mathematically optimal exhaustion point where selling pressure is dying. Excellent for buying the bottom in growth stocks. Bearish Apex (▼): Occurs high in positive territory (euphoria). Represents exhaustion in risk-taking and serves as an early warning to take profits or look for short entries. Practical Trading Application: Sector Rotation (XLK vs. XLP) While the default script pairs S&P 500 Futures (ES) against 10-Year Treasuries (ZN), the true power of the IFO shines in sector rotation. The Setup: Set the Risk Asset to XLK (Technology) and the Safe Haven to XLP (Consumer Staples). The Logic: XLK represents high-beta, duration-sensitive growth (Apple, Microsoft, Nvidia). XLP represents inelastic consumer demand (Procter & Gamble, Walmart). This spread is the ultimate risk-on/risk-off gauge. Key Features & Customization Customizable Pairs: Fully adjustable inputs to test different macro pairs (e.g., BTC vs. Gold, BTCUSDT.P vs. USDT, Discretionary vs. Utilities, High Yield Bonds vs. Treasuries). Dynamic Coloring: The oscillator line shifts between bright/faded colors based on momentum velocity, giving you a visual cue before a crossover even happens.
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của fdx101
Elaris Session Liquidity Grabs Pro# Elaris Session Liquidity Grabs Pro Elaris Session Liquidity Grabs Pro is a professional session-based liquidity sweep and reversal detection tool designed for traders who focus on smart money concepts, stop hunts, failed breakouts, and institutional liquidity behavior. The indicator automatically builds key liquidity ranges from major global trading sessions including London, New York, and Asia, then detects high-probability liquidity grabs when price sweeps session highs or lows and rejects back into range. Unlike basic sweep indicators, this tool includes advanced filtering systems designed to reduce noise and focus on stronger reversal conditions using ATR displacement, candle strength analysis, EMA trend filtering, and optional volume confirmation. Built for active intraday traders, scalpers, and smart money traders, the indicator provides a clean visual framework for identifying areas where liquidity may have been engineered before a market reversal or continuation move. ━━━━━━━━━━━━━━━━━━ FEATURES ━━━━━━━━━━━━━━━━━━ • Automatic London, New York, and Asia session ranges • Session high/low liquidity tracking • Bullish and bearish liquidity grab detection • Wick sweep and close-break detection modes • ATR-based sweep validation filters • Strong displacement candle confirmation • EMA trend filter for directional bias • Volume confirmation filter • Optional cooldown system to reduce signal clustering • Session equilibrium (midline) plotting • Clean session range visualization • Professional dashboard panel • Dark mode and light mode support • Alert conditions for automation and notifications • Non-repainting confirmed signals ━━━━━━━━━━━━━━━━━━ HOW IT WORKS ━━━━━━━━━━━━━━━━━━ The indicator builds liquidity ranges from selected market sessions and monitors price action after those sessions complete. When price aggressively sweeps a session high or low and then rejects back into the range, the indicator identifies it as a potential liquidity grab event. Examples: • Price sweeps above London High and closes back below → potential bearish liquidity grab • Price sweeps below New York Low and closes back above → potential bullish liquidity grab Additional confirmation filters help reduce weak or low-quality signals by requiring stronger candle displacement, trend alignment, and optional volume expansion. ━━━━━━━━━━━━━━━━━━ BEST USE CASES ━━━━━━━━━━━━━━━━━━ • Smart money trading concepts • Session liquidity trading • Stop hunt reversals • Scalping and intraday trading • ICT-style trading approaches • Breakout failure detection • Market manipulation detection ━━━━━━━━━━━━━━━━━━ RECOMMENDED MARKETS ━━━━━━━━━━━━━━━━━━ • Crypto Futures • Forex • Indices • Gold and Commodities ━━━━━━━━━━━━━━━━━━ RECOMMENDED TIMEFRAMES ━━━━━━━━━━━━━━━━━━ • 1 Minute • 3 Minute • 5 Minute • 15 Minute ━━━━━━━━━━━━━━━━━━ NON-REPAINTING ━━━━━━━━━━━━━━━━━━ This indicator is designed to be non-repainting. Signals are confirmed only after candle close and session levels are finalized after the session completes. No future data is used. ━━━━━━━━━━━━━━━━━━ NOTES ━━━━━━━━━━━━━━━━━━ This tool is designed to assist with identifying liquidity behavior and market structure reactions. It should be used alongside proper risk management, higher timeframe analysis, and additional trade confirmation techniques. No indicator guarantees profitability or win rate consistency across all market conditions.
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của ElarisGroup
Elaris Fast Scalp ProElaris Fast Scalp Pro is a professional lower-timeframe scalping indicator designed for fast-moving markets such as crypto, forex, and indices. The indicator combines trend alignment, momentum confirmation, volatility filtering, VWAP positioning, volume strength, and higher-timeframe confirmation into a clean non-repainting scalping system. Built specifically for aggressive intraday traders, the script focuses on identifying high-quality momentum continuation opportunities while filtering out weak or choppy conditions that commonly generate false signals on lower timeframes. The signal engine uses: Fast EMA reclaim logic Trend structure filtering RSI momentum confirmation ADX trend-strength filtering VWAP positioning Volume expansion validation ATR-based volatility quality checks Optional higher-timeframe directional confirmation Cooldown logic to reduce over-signaling The indicator also includes: Professional dashboard panel Real-time market condition overview Risk/reward visualization Dynamic stop loss and take profit levels Configurable session filtering Long and short signal alerts Dark and light mode compatibility Elaris Fast Scalp Pro is optimized for: 1m / 3m / 5m / 15m charts Crypto scalping Fast intraday momentum trading Session breakout continuation moves Trend-following scalp setups Unlike many repainting scalping systems, all signals are confirmed only after candle close, making the indicator suitable for live trading and alert automation. Features Non-repainting confirmed signals Fast scalp continuation engine Smart trend filtering Built-in volatility protection Volume confirmation system Optional HTF bias filter VWAP institutional bias filter Risk/reward plotting Signal quality scoring Professional dashboard UI Fully customizable inputs Best Usage The indicator performs best during active market sessions with strong momentum and healthy volatility conditions. Lower-timeframe traders may combine it with market structure, liquidity zones, or session trading concepts for additional confirmation.
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của ElarisGroup
Darvas Box Theory [Alpha Extract]A sophisticated momentum breakout and trend-continuation framework based on Nicolas Darvas’ classic box theory, rebuilt with modern confirmation filters, adaptive risk management, and real-time trade-state tracking. This indicator identifies consolidation ranges, validates breakout conditions through volume and trend confirmation, manages long-side breakout entries, trails stops through higher boxes, and displays a live status dashboard for complete market structure awareness. By combining box compression, volatility filtering, breakout validation, and structured stop logic, the system provides a clean and disciplined framework for trading momentum expansion after consolidation. 🔶 Advanced Darvas Box Detection Engine Implements a dynamic Darvas box construction model that identifies price consolidation ranges using configurable confirmation bars. The system continuously scans recent market structure, defines the highest high as the box ceiling, the lowest low as the box floor, and validates the range only when the box meets minimum volatility-adjusted height requirements. candidateTop = ta.highest(high, boxLen) candidateBottom = ta.lowest(low, boxLen) heightOk = (candidateTop - candidateBottom) >= atr * minBoxAtr This ensures boxes are not created from meaningless low-range noise and instead represent tradable compression zones with enough structure to support breakout analysis. 🔶 ATR-Filtered Box Quality Control Features an adaptive box validation system using Average True Range to measure whether a box has enough height relative to current market volatility. Traders can adjust the Minimum Box Height setting to control how selective the indicator becomes. A lower ATR threshold creates more boxes and more frequent signals, while a higher threshold filters out weak consolidations and focuses only on larger, cleaner market structures. 🔶 Optional Rising Box Requirement Includes an optional rising-box filter designed for classic Darvas-style momentum trading. When enabled, the system only accepts new boxes if their ceiling is higher than the previous box top, helping traders focus on progressive bullish structure and avoid lower-quality sideways chop. This is useful for traders who want to trade continuation setups only when the market is forming higher price ranges. 🔶 Breakout Confirmation Framework Provides flexible breakout detection using either candle close confirmation or wick-based confirmation. Close mode requires price to close beyond the box boundary for stronger confirmation, while Wick mode reacts as soon as price trades beyond the box level for faster but more aggressive signals. upBreakRaw = boxReady and (breakoutMode == "Close" ? close > boxTop : high > boxTop) longSignal = breakoutUp and volumeOk and trendOk This allows traders to choose between conservative confirmation and faster momentum detection depending on their strategy style. 🔶 Volume Breakout Validation Integrates volume confirmation to help filter weak breakouts and highlight expansion moves supported by stronger market participation. The system compares current volume against a moving average baseline and requires breakout volume to exceed a configurable multiplier. This helps identify breakouts with real participation rather than low-volume fakeouts. 🔶 Trend Filter Integration Uses a configurable EMA trend filter to align breakout signals with the broader market direction. When enabled, long breakout signals are only accepted when price is trading above the selected trend EMA. This keeps the system focused on momentum continuation setups rather than counter-trend breakouts with weaker follow-through potential. 🔶 Automated Darvas Trade State Engine Transforms box breakouts into a structured trade-management framework. When price breaks above a completed box with valid trend and volume confirmation, the system enters a long trade state, stores the entry price, initializes the stop level, and begins live trade tracking. The indicator then monitors whether price continues into higher boxes, generates add signals, or exits when the stop or downside breakdown condition is triggered. 🔶 Add Signal & Higher Box Continuation Logic Features higher-box continuation logic that identifies additional momentum opportunities while already in a long position. If a new confirmed breakout occurs above the original entry price while the trade is active, the system generates an Add signal and updates the trade structure. This helps traders scale into trending moves as the market builds new Darvas boxes above the previous structure. 🔶 Adaptive Stop Management System Provides three different stop modes for flexible risk management: • Box Floor — places the stop at the bottom of the Darvas box. • Breached Ceiling — uses the breakout ceiling as the protective reference. • ATR — applies a volatility-adjusted trailing stop based on ATR. baseStop = stopMode == "Breached Ceiling" ? boxTop : stopMode == "ATR" ? src - atr * atrStopMult : boxBottom exitSignal := tradeState == 1 and (src < trailStop or breakoutDown) This allows traders to choose between structural, breakout-level, or volatility-based protection depending on their trading approach. 🔶 Trail Stop To Higher Boxes Includes automatic stop advancement as price confirms higher boxes. When enabled, the stop trails upward with stronger box structures, helping lock in gains while allowing the trend to continue. This creates a disciplined trend-following system that protects profits without exiting too early during strong momentum phases. 🔶 Breakdown & Exit Logic Implements clean exit handling when price falls below the active trailing stop or breaks down through the box floor. This gives the system a defined invalidation structure and prevents trades from remaining active after momentum has failed. Exit markers are displayed directly on the chart for fast visual confirmation. 🔶 Real-Time Status Dashboard Features a compact live dashboard displaying the most important Darvas trade and box information in real time. The table shows: • Current trade state • Box top • Box floor • Volume ratio • Trend filter status • Distance to breakout • Box height relative to ATR • Open R multiple This gives traders an immediate overview of whether the market is forming a box, preparing for breakout, actively in a trade, or filtered by trend/volume conditions. 🔶 Clean Visual Box Architecture Creates a clear visual representation of forming and completed Darvas boxes using configurable colors, transparency, top and bottom level lines, breakout markers, exit markers, and optional grey candle overlay. Forming boxes are displayed separately from completed bullish or bearish boxes, making it easy to distinguish live consolidation from confirmed breakout structure. The system also manages historical box limits automatically to keep charts clean and prevent visual overload. 🔶 Performance Optimization & Historical Box Management Uses efficient array-based storage and automatic cleanup logic to manage historical boxes, lines, and chart objects. Traders can control how many completed boxes remain visible, allowing the indicator to preserve historical context while maintaining smooth TradingView performance. This makes the tool suitable for both short-term and long-term chart analysis. 🔶 Comprehensive Alert System Includes alert conditions for the most important Darvas events: • Darvas Box Buy • Darvas Box Add • Darvas Box Exit These alerts allow traders to monitor breakout opportunities, continuation setups, and invalidation events without watching the chart constantly. 🔶 Why Choose Darvas Box Theory ? This indicator modernizes the classic Darvas Box strategy by combining traditional breakout structure with advanced confirmation logic, volatility filtering, dynamic stop management, and real-time trade monitoring. Instead of simply drawing static boxes, the system evaluates whether each range has enough volatility, confirms whether breakouts are backed by volume, checks whether price is aligned with the broader trend, and then manages the trade through structured stop logic. The result is a clean momentum trading framework designed to help traders identify compression, wait for confirmed expansion, manage entries with discipline, scale into higher-box continuation, and exit when the structure fails. Perfect for trend-following traders, breakout traders, swing traders, and systematic momentum traders looking for a more complete version of the classic Darvas Box methodology.
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của AlphaExtract
Roy AI Matrix MTF EMAROY AI MATRIX MTF EMA – MOBILE FIX Roy AI Matrix MTF EMA is an advanced multi-timeframe trend analysis indicator designed to combine EMA structure, timeframe strength, and market direction into a single mathematical trend engine. This indicator was specially optimized for TradingView mobile users with a lightweight and cleaner matrix dashboard that remains responsive even on lower-powered devices. Unlike traditional EMA indicators that only analyze one timeframe, Roy AI Matrix MTF EMA combines multiple timeframes and multiple EMA layers simultaneously to calculate overall market bias and trend pressure. The indicator transforms market structure into a weighted mathematical score system where: • Higher timeframes carry stronger influence • Larger EMAs represent stronger market structure • Bullish conditions generate positive values • Bearish conditions generate negative values The final score helps traders quickly identify whether the market is dominated by buyers or sellers. FEATURES • Multi-Timeframe EMA Matrix • EMA 10 / 20 / 50 / 100 / 200 Analysis • Bullish & Bearish Matrix Heatmap • AI Trend Score Calculation • Market Bias Detection • Buy & Sell Signal Detection • Mobile-Friendly Compact Table • Lightweight Optimized Version • M15 Intraday Trading Optimization • Trend Gravity Concept TIMEFRAMES INCLUDED • M1 • M5 • M15 • M30 • H1 • H4 • Daily HOW IT WORKS Each timeframe and EMA combination is converted into a weighted mathematical score. Bullish conditions produce positive values. Bearish conditions produce negative values. Higher timeframes such as H4 and Daily carry significantly stronger weight compared to lower timeframes like M1 and M5. This allows traders to identify: • True dominant trend direction • Pullbacks against major trend • Momentum continuation • Trend strength • Market phase SIGNAL LOGIC BUY Signal: • Overall score is bullish • M15 EMA momentum turns bullish • M5 confirms momentum continuation SELL Signal: • Overall score is bearish • M15 EMA momentum turns bearish • M5 confirms downside continuation BEST USED FOR • Intraday Trading • Scalping • Trend Following • Momentum Trading • Multi-Timeframe Analysis • Gold (XAUUSD) • Forex • Crypto • Indices This indicator is designed to help traders visualize market structure and trend alignment in a cleaner and more mathematical way. Optimized especially for traders who trade primarily on the M15 timeframe while still respecting higher timeframe market gravity.
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của Sdroy87
Veyra Shift Ledger [JOAT]Veyra Shift Ledger Introduction Veyra Shift Ledger is an open-source execution-context ledger that combines trend, pressure, structure, auction location, displacement, and volatility state. It also draws qualified supply and demand zones anchored to confirmed swing memory. The indicator is designed to show when several independent context layers align, while keeping signals confirmed and visually organized. Core Concepts 1. Trend and Regime Fast, mid, and slow EMAs define trend alignment. ADX, RSI, MACD, and VWAP context contribute to directional quality. 2. Pressure Engine Signed candle body, range location, and volume are used to estimate bid or ask pressure. 3. Auction Location Weighted price and deviation bands identify premium, discount, and value conditions. 4. Structure and Displacement Confirmed pivots define swing memory. BOS, sweeps, and FVG-style gaps contribute to the structure side of the ledger. 5. Supply and Demand Zones Zones are created only when quality gates pass. Demand zones anchor around confirmed pivot lows and supply zones anchor around confirmed pivot highs, with ATR-scaled height. Features Long and short ledger scores: Combines trend, momentum, pressure, structure, auction, and HTF context Confirmed HTF filter: Optional higher-timeframe EMA uses confirmed previous HTF data Supply/demand zones: Anchored to confirmed swing memory and ATR-scaled Zone lifecycle: Zones change appearance when mitigated or invalidated Execution rails: Optional educational entry, stop, and target projections Dashboard: Shows scores, pressure, auction, structure, volatility, HTF, and trigger state Input Parameters EMA lengths control trend memory Pressure and auction inputs control volume/weighted-price calculations Pivot confirmation controls structure sensitivity Score thresholds control signal selectivity Risk inputs control optional rail projection How to Use This Indicator Step 1: Compare ledger scores The dashboard shows whether long or short context has stronger evidence. Step 2: Inspect zones Supply and demand zones are contextual areas, not certain turning points. Step 3: Watch mitigation state Zone color changes help distinguish active, mitigated, and invalidated areas. Indicator Limitations Supply and demand zones are approximations from chart data Pivot confirmation creates natural delay Pressure is candle-derived and not true order book data Execution rails are educational projections only Originality Statement Veyra Shift Ledger combines a multi-factor score ledger with swing-anchored supply/demand zones, auction context, pressure state, displacement logic, and zone lifecycle visualization. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Zones and scores can fail in live markets. -Made with passion by jackofalltrades
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của officialjackofalltrades
Multi-Timeframe Volatility DashboardA clean, observation-only panel showing 6 key implied volatility indices plus the VVIX/VIX ratio in a single overlay. Built for traders who want to see the broader volatility regime at a glance without loading multiple charts. Indices displayed: - VIX — S&P 500 implied volatility - VVIX — Volatility of VIX (vol-of-vol) - MOVE — Treasury bond implied volatility - VXN — Nasdaq 100 implied volatility - OVX — Crude oil implied volatility - GVZ — Gold implied volatility - VVIX/VIX — Derived ratio (forward vol expectation proxy) Features: - Toggle individual indices on/off - Color-coded by historical level (green below median, red elevated) - Daily change indicator with percentage - 5 panel positions, 4 text sizes This is an observation tool, not a strategy. It displays vol data; how you use it is up to you. All data is end-of-day from CBOE and TVC public feeds. Free. MIT licensed. Pull requests welcome on GitHub.
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của navnuk88
Avg Leg Duration (Single Value + Unit)Avg Leg Duration (Bars + Time) Avg Leg Duration is a market rhythm and trend behavior indicator designed to measure how long directional price movements typically persist before changing direction. Instead of focusing only on price magnitude, this indicator analyzes the duration of completed directional "legs" and calculates the average length of recent movements. The objective is to provide insight into the natural pacing and behavior of the current market environment. Understanding how long trends and directional moves typically last can help traders better evaluate trend maturity, timing expectations, and overall market behavior. Features: • Measures completed directional price legs • Calculates average duration across recent legs • Customizable averaging period • Optional ATR-based movement threshold filtering • Optional directional carry-through for flat bars • Multiple output units: • Bars • Seconds • Minutes • Hours • Days • Weeks • Multiple rounding methods: • None • Round • Ceiling • Floor • Simple on-chart display showing current average leg duration Potential use cases: • Estimate how long directional moves typically last • Identify potentially extended or immature trends • Compare market rhythm across different instruments • Study changing market conditions • Add timing context to existing strategies • Evaluate whether price movements are becoming more compressed or extended Interpretation: Lower Average Duration Directional moves are changing more frequently and may indicate increased choppiness or shorter-term market behavior. Higher Average Duration Directional moves are persisting longer and may indicate stronger directional behavior or longer trend cycles. Changing Average Duration Expanding or contracting values can suggest shifts in market participation and behavior. Unlike traditional momentum indicators that focus primarily on price movement itself, Avg Leg Duration focuses on the time component of market behavior and attempts to provide additional context into how markets naturally move and cycle. About TrendGenY Indicators TrendGenY indicators are built from market experience, creative concepts, and a constant pursuit of unique perspectives. Rather than following conventional ideas, the focus is on uncovering alternative insights and viewing market behavior through different angles to reveal information that traditional tools may overlook and help traders build a more meaningful edge in the market.
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của TrendGenY
SixShooterSixShooter (6SHOT) A multi-timeframe POC compression and breakout engine for TradingView. SixShooter combines anchored VWAPs, rolling volume-profile POCs, compression analytics, trend-regime filters, and breakout acceleration logic into a single institutional-style framework. Built to detect: Coiled breakout setups before expansion Trend continuation acceleration (“THRUST”) Structural rollover tops Multi-timeframe support/resistance stacking Regime transitions between accumulation and distribution Core Concept 6SHOT tracks six major market structure levels simultaneously: Rank Level Description 1 dPOC Current day anchored VWAP 2 pdPOC Prior day VWAP 3 wPOC Current week volume-profile POC 4 pwPOC Prior week POC 5 mPOC Current month POC 6 pmPOC Prior month POC These levels form a live structural “stack”. When the stack compresses tightly and directional alignment emerges, the indicator searches for: breakout conditions, trend acceleration, or rollover failure structures. What Makes SixShooter Different Unlike traditional indicators that only react to price: 6SHOT measures market structure compression directly. Uses multi-timeframe POC migration as the primary signal source. Detects “energy loading” before expansion. Separates trend continuation from true structural reversals. Uses higher-timeframe regime filters to reduce noise. The result is fewer but significantly higher-quality signals. Price Pane Features Multi-Timeframe POC Levels The indicator draws six persistent horizontal support/resistance levels: Daily VWAP structures Weekly volume-profile structures Monthly volume-profile structures Each level: extends across the chart, updates only at current values, and includes right-edge ranked labels. The ranking system lets traders instantly visualize: shallow vs deep support, stacked bullish structure, or stacked bearish structure. Stack Score 6SHOT continuously scores the ordering of all six POCs. Bullish Stack Perfect bullish alignment: dPOC > pdPOC > wPOC > pwPOC > mPOC > pmPOC Bearish Stack Perfect bearish alignment: pmPOC > mPOC > pwPOC > wPOC > pdPOC > dPOC The score ranges from: +1.0 → fully bullish structure 0.0 → mixed / transitional -1.0 → fully bearish structure A live color-coded readout displays: BULL MIXED BEAR directly above the POC stack. Lower Pane Analytics Compression Engine 6SHOT measures: (max POC − min POC) / ATR Then percentile-ranks it over time. This creates a normalized compression score: 100 = tightest structural compression 0 = widest structural dispersion Compression alone is not enough for signals. The indicator additionally requires: directional alignment, price coiling, trend validation, and regime confirmation. Signal Types 1. POP Signals Primary breakout engine. POP UP Triggers when: compression is extreme, POCs align upward, price is tightly coiled, higher-timeframe regime agrees, and chop filters are cleared. Designed to detect: explosive upside expansions, trend initiations, and continuation launches. POP DOWN Two mechanisms: Coil Breakdown Symmetric bearish version of POP UP. Rollover Breakdown Independent structural-top detector using: failed swing highs, lower highs, lower lows, ATR-based drawdown, and down-sloping structure. Rollover logic is one-shot and re-arms only after a new swing high. 2. THRUST Signals Trend acceleration engine. Designed for: continuation moves after the original breakout, momentum expansion, volatility expansion, and runaway trends. Requirements include: ATR expansion, decisive candle closes, directional POC agreement, and multi-bar momentum thrust. Useful for catching: late-stage trend acceleration, squeeze continuations, and momentum cascades. 3. PRE-READY Signals Early-warning compression detector. Appears before full READY conditions when: compression is rapidly tightening, but hasn’t yet reached breakout thresholds. Useful for: stalking setups, preparing alerts, or anticipating imminent POP conditions. Disabled by default. 4. Strict Canonical Pattern The highest-conviction bullish structure in the system. Requires: all POCs stacked beneath price, ideal monthly/weekly/daily ordering, price glued tightly to dPOC, and sufficient structural support depth. When active: the chart receives a lime structural tint, and breakout confirmation fires on expansion above prior highs. This is designed to identify: loaded continuation structures, institutional support stacking, and pre-expansion equilibrium zones. Regime & Noise Filters Higher-Timeframe PSAR Filter Automatically steps one timeframe higher than the current chart. Examples: 5m → 1H regime 1H → Daily regime Daily → Weekly regime Used to suppress: countertrend coil signals, weak reversals, and noisy breakdowns. PSAR Proximity Gate Suppresses signals when price is too close to PSAR flip zones. Purpose: avoid signals during unstable trend transitions, reduce chop noise, and prevent one-bar fakeouts. Chop Detection Measures net movement relative to ATR. If price is oscillating without meaningful progress: POP signals are blocked, unless a true range breakout occurs. Strong Trend Lockout Prevents countertrend fires in clear macro trends. Example: suppress bearish signals during strong long-term uptrends, suppress bullish signals during strong downtrends. Built specifically to eliminate: repeated fake reversals inside runaway trends. Recency-Weighted POC Engine Optional decay weighting allows newer volume activity to dominate POC calculations. ON More adaptive and predictive. OFF Traditional full-period volume-profile behavior. This creates a balance between: responsive modern structure tracking, and classic static POC analysis. Best Use Cases 6SHOT performs best on: equities, crypto, futures, and momentum-driven instruments. Particularly effective for: swing breakouts, volatility expansions, trend continuation, squeeze detection, and structural reversals. Designed Philosophy Quality over quantity. 6SHOT intentionally filters aggressively: higher thresholds, cooldown systems, anti-flip protection, trend lockouts, and regime filters all exist to suppress low-quality noise. The goal is not maximum signal frequency. The goal is: structurally meaningful signals, cleaner trend participation, and earlier recognition of expansion regimes. Included Features Multi-timeframe POC stacking Anchored VWAP integration Weekly & monthly rolling volume profiles Compression percentile analytics Trend acceleration detection Structural rollover detection Regime-aware breakout filtering Anti-whipsaw cooldown engine Higher-timeframe PSAR confirmation Dynamic support/resistance labeling Canonical stacked-support detection Real-time structural score readout Recommended Workflow Many traders use 6SHOT as: Trend Structure Layer Use POCs + stack score to understand market positioning. Setup Detection Layer Use PRE-READY + READY compression states to stalk opportunities. Execution Layer Use POP / THRUST fires for entries. Risk Layer Use stacked POCs as dynamic support/resistance zones. Important Notes 6SHOT is not a standalone trading system. It is a structural-analysis framework designed to: identify high-energy market conditions, classify trend regimes, and surface asymmetric breakout opportunities. Best results come when combined with: market context, volume analysis, macro structure, and disciplined risk management.
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của donoage
Price Density Clouds [EXCAVO]Continuous Kernel-Density Map of Where Price Has Actually Traded The Price Density Clouds builds a smooth, continuous probability density of price over a lookback window and paints it as gradient clouds directly behind the candles. Dense, saturated clouds mark value zones - the equilibrium levels where the market has spent the most time and where price tends to stall and revert. Thin, transparent gaps mark inefficiency zones - levels price travels through quickly. A dashed POC line marks the single highest-probability price, and the Value Area High / Low bracket the core of the distribution. This is not a bin-based volume profile. Instead of chopping price into discrete buckets, KDE sums a smooth gaussian kernel around every price point, producing a continuous density curve with no bin-edge artefacts. The bandwidth is set automatically by Silverman's rule, so the smoothing adapts to the instrument's own volatility. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator. Gradient clouds appear behind the candles over the lookback window, brightest at the highest-probability levels and fading out toward thin zones. Step 2 → Read the clouds. Saturated bands = value / equilibrium where price tends to stall and mean-revert. Faint gaps = inefficiency where price moves fast - natural travel targets. Step 3 → Use the POC. The dashed POC line is the single most-traded level - a robust magnet and support / resistance anchor. Price far from POC has a statistical pull back toward it. Step 4 → Use the Value Area. The dotted Value Area High / Low bracket the core of the distribution (default 70%). Acceptance inside the area is balance; rejection outside it is imbalance worth trading. Step 5 → Check the side profile. The gradient density profile on the right of the last bar is the same density rotated 90 degrees - a quick read of the full distribution shape at a glance. Step 6 → Combine with structure. Clouds are context, not direction. They pair well with trend, sweep, and breakout tools - a breakout into a thin zone tends to run; a breakout into a dense zone tends to stall. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ Gaussian Kernel Density Every close in the lookback window contributes a gaussian bell curve centred at its own price. The curves are summed across the price range to produce a single continuous density function: density(x) = sum over j of exp(-0.5 x ((x - price_j) / h)^2). Levels where many bars cluster get tall, overlapping kernels and a high density; isolated levels get a low density. ◆ Silverman Bandwidth The kernel width h controls smoothness. It is set automatically by Silverman's rule of thumb: h = 1.06 x sigma x n^(-1/5), where sigma is the stdev of the lookback prices and n is the sample size. The Bandwidth Multiplier input scales this for sharper or smoother clouds. Auto-bandwidth means the same settings adapt across instruments and timeframes. ◆ Normalisation and POC The density is evaluated at Resolution levels between the lookback high and low, then normalised so the peak equals 1.0. That peak level is the POC (Point of Control) - the single highest-probability price. Cloud opacity and colour are driven by each level's normalised density. ◆ Value Area Starting at the POC, the algorithm expands outward, each step absorbing the denser of the two neighbouring levels, until the enclosed density reaches the Value Area % of the total (default 70). The price extent reached becomes the Value Area High and Low. ◆ Gradient Rendering Each density band of the cloud is drawn as a horizontal box tinted by a two-colour gradient: the Low Density Color at thin levels through to the High Density Color at the POC, with opacity ramping in parallel. Adjacent bands tile continuously, so the cloud reads as a smooth heat-map rather than discrete blocks. The same gradient drives the right-side density profile, whose width per level scales with density - at the default resolution the edge reads as a near-smooth wave while keeping the per-level gradient colour. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Continuous Density, Not Bins Standard volume / price profiles split price into discrete bins, so the result depends heavily on bin size and shows hard edges. KDE produces a smooth continuous curve - no bin-edge artefacts, no arbitrary bucket count, just the true shape of where price has traded. ◆ Auto-Adaptive Bandwidth Silverman's rule sizes the smoothing from the instrument's own volatility and sample size. The clouds stay meaningful on BTC, EURUSD, gold or an index with the same default settings. ◆ Value Structure In One View POC, Value Area High / Low and the full density shape are all on the chart at once, with a matching side profile - the complete market-profile read without a separate pane or a session reset. ◆ Premium Gradient Visual A smooth two-colour density gradient behind the candles with parallel opacity ramp, a clean dashed POC, dotted value-area lines, and a right-side profile histogram. The clouds sit behind price as context and never clutter the read. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel (top right) with the current value read: POC - price of the highest-density level Value Area High - upper bound of the value area Value Area Low - lower bound of the value area Price Zone - whether price is Above Value, In Value, or Below Value Lookback - bars used to build the distribution Legend table (bottom left) explains every colour. Both panels toggle in the Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Engine Lookback Period - 200 (bars used to build the price distribution) Resolution - 120 (number of horizontal density bands; higher = smoother gradient and profile edge, up to 200) Bandwidth Multiplier - 1.0 (smoothness; 1.0 = Silverman auto, higher = broader clouds) Value Area % - 70 (percentage of total density that defines the value area) Visualization Low Density Color - blue (thin / inefficiency end of the gradient) High Density Color - orange (dense / value end of the gradient) POC Line Color - near-white (high contrast against the dense orange cloud the POC sits in) Min Cloud Opacity - 8 (opacity of the lowest-density band; keeps empty zones faint) Max Cloud Opacity - 65 (opacity of the POC band) Show POC Line - ON Show Value Area - ON (dotted Value Area High / Low lines) Value Area Highlight - ON (boosts band opacity inside the value area so the 70% core pops) Show Side Profile - ON Profile Outline - ON (thin bright line tracing the right edge of the profile for a crisp silhouette) Cloud Forward Extend - 10 (bars the clouds extend right of the last bar) Dashboard Show Dashboard - ON Dashboard Position - Top Right Show Legend - ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
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của EXCAVO
Break & Retest ORB- (JayHabbit BOB System)Here's a description you can use when you publish it on TradingView: --- **JayHabbit BOB System** The JayHabbit BOB System is a complete intraday trading indicator built around the Opening Range Breakout with a fakeout filter. Instead of chasing the first breakout, this system waits for price to break the opening range, retest it, get rejected, and confirm the trend — giving you higher probability entries with defined risk. **What's included:** **Opening Range** — Plots the 15-minute opening range high and low as full-session horizontal lines so you always know your key levels for the day. **Fakeout Filter** — Automatically detects the full breakout → retest → rejection sequence before signaling an entry. No more getting trapped on the first move. **Entry Signals** — A green triangle below the bar for longs, red triangle above for shorts. Only fires after the full sequence is confirmed. **Retest Marker** — An orange triangle marks the exact bar where the retest begins so you can follow the setup in real time. **Trailing Stop System** — Initial stop plots at the structural level (retest low for longs, retest high for shorts). Once price hits 1R, the stop automatically trails the 20 SMA to lock in gains while keeping you in the trend. **Moving Averages** — 9 EMA, 10 EMA, 20 SMA, 200 SMA, and 400 SMA. All fully toggleable with customizable colors, widths, and styles. **Full Customization** — Every element has its own toggle, color picker, and width control so you can build your chart exactly how you want it. **Built for:** SPY, QQQ, AMZN, META, NFLX, NVDA, AAPL, TSLA, MSFT on the 2 or 5 minute chart. --- Want me to tighten it up or make it more hype for the BOB brand?
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của jayhabbit712
Spike EA Trade IndicatorSpike EA Trade Indicator is a simple price-action signal tool inspired by an MT4/MT5 expert advisor logic. The script detects spike candles by measuring the range between the high and low of a selected previous bar. If the range is greater than or equal to the configured threshold, the candle direction is used to generate a signal. A bullish spike candle produces a buy signal, while a bearish spike candle produces a sell signal. The default settings are designed around USDJPY on the 15-minute chart. The default spike threshold is 0.5 with a price unit of 1.0, which represents approximately a 0.5 yen candle range on USDJPY. This indicator displays visual buy and sell signals only. It does not execute trades and does not provide backtesting results. This script is intended for chart analysis, research, and educational purposes only. It does not guarantee future performance and should not be considered financial advice. Please test carefully before using it in any trading decision.
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của MasayanFX
Spike EA Trade StrategySpike EA Trade Strategy is a price-action backtesting script inspired by an MT4/MT5 expert advisor logic. The strategy detects spike candles by measuring the range between the high and low of a selected previous bar. If the range is greater than or equal to the configured threshold, the candle direction is used for trade direction. A bullish spike candle triggers a long setup, while a bearish spike candle triggers a short setup. The default settings are designed around USDJPY on the 15-minute chart. The default spike threshold is 0.5 with a price unit of 1.0, which represents approximately a 0.5 yen candle range on USDJPY. The strategy version includes approximate stop loss and take profit price-distance settings for TradingView Strategy Tester. Broker-specific execution details such as spread, slippage, order rejection, margin checks, lot handling, and MT4/MT5 magic number management are not replicated. This script is intended for chart analysis, backtesting support, research, and educational purposes only. It does not guarantee future performance and should not be considered financial advice. Please test carefully before using it in any trading decision.
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của MasayanFX
ATR Stack of 3 v1OM ATR Stack — Volatility & Stop Guide Purpose: Measure current volatility and estimate reasonable stop distance. ATR Stack does not predict direction. Use it with your trend and entry systems. Columns: ATR% Average movement per candle as a percentage of price. Guide: * <1% = Calm / compressed * 1–3% = Healthy trading conditions * 3–5% = Elevated volatility * 5%+ = Extreme movement HEAT Compares current ATR to recent ATR average. Guide: * LOW = Quiet market, setups forming * NORMAL = Healthy environment * HIGH = Larger moves, reduce size * EXTREME = Expansion, caution SL Suggested stop distance using ATR multiplier. Guide: * 1.0 ATR = Tight * 1.5 ATR = Balanced (default) * 2.0 ATR = Conservative * 2.5+ ATR = High volatility assets How to use: * Higher ATR → Further stop * Lower ATR → Tighter stop * Keep risk constant by adjusting position size Suggested workflow: Trend Stack → Direction MR Engine → Entry ATR Stack → Risk ATR measures how hard price is breathing, not where price is going.
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của CryptOmar210