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Quantum Flow [JOAT]Quantum Flow Nexus - Advanced Multi-Dimensional Flow Analysis Overview Quantum Flow Nexus is an open-source overlay indicator that combines custom EMA-based flow calculations with order flow analysis, multi-timeframe correlation, and liquidity zone detection. It provides traders with a structured framework for analyzing market momentum and identifying potential entry points based on multiple confirming factors. What This Indicator Does The indicator calculates several analytical components: Quantum Flow Oscillator - A custom oscillator built from multiple EMA layers at different depths Flow Momentum - Rate of change of the flow oscillator Order Flow Delta - Buy vs sell volume pressure estimation Smart Money Index - Volume-weighted directional bias metric Multi-Timeframe Entanglement - Price correlation across 15m and 60m timeframes Liquidity Zones - Historical swing high/low levels with volume significance Wave Function State - Momentum-based decisiveness detection How It Works The core quantum oscillator uses a custom EMA calculation with depth layering: quantumOscillator(series float src, simple int len, simple int depth) => float osc = 0.0 for i = 1 to depth int fastLen = len / i int slowLen = len * i float emaFast = quantumEMA(src, fastLen) float emaSlow = quantumEMA(src, slowLen) osc += (emaFast - emaSlow) / depth osc This creates a multi-layered view of momentum by comparing EMAs at progressively different speeds. Signal Generation Basic signals occur when: Bullish: Flow crosses above lower band + positive momentum + positive order flow delta Bearish: Flow crosses below upper band + negative momentum + negative order flow delta Strong signals require additional confirmation: Smart Money Index above/below threshold (50/-50) Entanglement score above 50% Wave function in collapsed state (decisive momentum) Confluence Score Calculation The indicator combines multiple factors into a single confluence percentage: float confluenceScore = (flowStrength * 20 + entanglementScore * 0.3 + math.abs(orderFlowDelta) * 0.5) / 3 Dashboard Panel (Top-Right) Flow Strength - Distance from center line normalized by standard deviation Momentum - Current rate of change of flow Trend - BULLISH/BEARISH/NEUTRAL based on flow vs EMA Confluence Score - Combined factor percentage Order Flow Delta - Buy/sell pressure percentage Entanglement - Multi-timeframe correlation score Wave State - COLLAPSED or SUPERPOSITION Signal - Current actionable status Visual Elements Flow Lines - Center flow line with upper/lower bands Quantum Zones - Filled areas between bands showing bullish/bearish zones 3D Quantum Field - Five oscillating layers creating depth visualization Order Flow Blocks - Boxes highlighting significant order flow imbalances Liquidity Heatmap - Dashed lines at significant historical levels Signal Markers - Triangles for basic signals, labels for strong signals Input Parameters Flow Period (default: 21) - Base period for flow calculations Quantum Depth (default: 3) - Number of EMA layers Sensitivity (default: 1.5) - Band width multiplier Liquidity Max Levels (default: 8) - Maximum liquidity zones displayed Liquidity Min Strength Ratio (default: 0.10) - Minimum volume significance Suggested Use Cases Identify momentum direction using flow oscillator position Confirm entries with order flow and smart money readings Use liquidity zones as potential support/resistance areas Wait for strong signals with multiple factor confirmation Timeframe Recommendations Effective on 15m to Daily charts. Lower timeframes may produce more signals with higher noise levels. Limitations Order flow is estimated from candle structure, not actual order book data Multi-timeframe requests add processing time Liquidity zones are based on historical pivots and may not reflect current market structure Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script® göstergesi
officialjackofalltrades tarafından
ICT Concepts [Kodexius]ICT Concepts is an all in one, chart overlay toolkit that combines several widely used ICT style components into a single, modular workflow. It is designed to help you map higher timeframe context, track directional structure, and refine execution areas with imbalance and liquidity concepts, without turning the chart into a cluttered drawing board. Instead of plotting everything indefinitely, each module focuses on “live relevance” and chart readability. Zones, lines, and labels are managed with sensible limits so the most recent and most meaningful structures remain visible while older objects are automatically retired. Because the system is modular, you can run it like a complete toolkit: - Use multi timeframe Order Blocks to define high probability zones - Use Market Structure (BOS and MSS) for bias and context - Validate intent with SMT Divergence when you want intermarket confirmation - Refine with Imbalances (FVG, BPR, CE) and Liquidity Sweeps - Add timing structure via Killzones and risk structure via auto Fibonacci 🔹 Features 🔸 Multi Timeframe Order Blocks (3 candle displacement OB) The OB engine detects a strict 3 candle displacement sequence (bull and bear) and projects the “order block candle” as a forward extending zone. Detection can run on the chart timeframe or on a user selected higher timeframe and then be displayed on your execution chart. 🔸 Overlap Control Before adding a new OB, the script checks overlap against existing zones of the same direction. If a new zone intersects an existing one, it is ignored to reduce redundant stacking in the same price area. 🔸 Automatic Extension and Mitigation for Order Blocks OB zones extend forward on every bar and are removed once mitigation is confirmed. Mitigation is evaluated by close breaking decisively beyond the relevant boundary: - Bullish OB mitigates when close prints below the OB bottom - Bearish OB mitigates when close prints above the OB top 🔸 Market Structure (BOS and MSS) Market Structure is built from swing pivots using a configurable pivot length. When price closes through the latest swing, the script prints a structure event: BOS (Break of Structure) for continuation MSS (Market Structure Shift) for a directional change To keep the chart readable, older structure drawings are capped by history limits. 🔸 SMT Divergence with optional mini panel SMT can compare the current instrument with a user selected symbol to highlight divergence at swing points. A divergence is flagged when one market makes a new swing extreme while the other fails to confirm. Optional: a compact right side “compare symbol” candle panel can be enabled so you can visually confirm what the secondary market is doing without leaving the chart. 🔸 Imbalances: FVG, BPR, and CE modes You can choose between three imbalance views depending on your style: FVG mode: Fair Value Gaps are plotted as extending zones CE mode: Consequent Encroachment is visualized using a midpoint line and a half zone fill BPR mode: Balanced Price Range is formed when a new FVG overlaps an opposing FVG, producing a “balanced” region that often behaves differently than a standalone gap 🔸 Automatic extension, limits, and mitigation for imbalances Imbalance objects extend forward until mitigated. Mitigation uses wick based logic: Bullish imbalance mitigates when price wicks below the zone bottom Bearish imbalance mitigates when price wicks above the zone top The script also enforces per side limits and removes older items to keep performance stable. 🔸 Liquidity sweeps (buyside and sellside) The liquidity module tracks swing highs and lows and marks sweep events when price runs the level and then closes back through it, which often behaves like a rejection signal. Sweeps are visualized with a level line plus a small sweep highlight box, with an optional history cap. 🔸 Auto anchored Fibonacci (EQ and OTE focus) Fibonacci levels are automatically anchored using the most recent structure context so you do not need to manually re draw fibs every time the market evolves. EQ and OTE focused bands are plotted to support common premium discount style workflows, with optional extra levels if desired. 🔸 Killzones (session boxes with optional range tracking) Asian, London Open, New York AM, and New York PM killzones can be displayed using UTC-5 session definitions. Session boxes dynamically expand as new highs and lows are formed during the session, and historical zones can be retained up to a user set count. Rendering is restricted to intraday timeframes up to 60 minutes for clean scaling and performance. 🔹 Calculations 1) Order Block detection (3 candle displacement) The OB pattern is defined inside detectLogic() . The zone boundaries always come from candle (the middle candle of the 3 candle sequence). detectLogic() => bool isBull = open > close and close > open and close > open and low < low and close > high bool isBear = open < close and close < open and close < open and high > high and close < low [isBull, high , low , time , isBear, high , low , time ] Interpretation (bullish side): Candle is bearish Candle is bullish (the OB candle) Current candle is bullish and closes above high low undercuts low to form the sweep style condition Bearish logic is the mirrored inverse. 2) Multi timeframe projection and duplicate control If the timeframe input is set, detections are computed on that timeframe and projected onto the current chart using request.security . A last processed time check prevents duplicate prints. = request.security(syminfo.tickerid, i_tf, detectLogic()) var int lastBullTime = 0 var int lastBearTime = 0 if mtf_isBull and mtf_bullTime != lastBullTime lastBullTime := mtf_bullTime if mtf_isBear and mtf_bearTime != lastBearTime lastBearTime := mtf_bearTime 3) OB overlap validation and mitigation Overlap is checked before pushing a new zone, then zones are extended and removed once mitigated by close. method hasOverlap(array OBs, float top, float bottom) => bool overlap = false if OBs.size() > 0 for i = 0 to OBs.size() - 1 OB item = OBs.get(i) if (top < item.top and top > item.bottom) or (bottom > item.bottom and bottom < item.top) overlap := true break overlap method isMitigated(OB this, float currentClose) => this.isBull ? (currentClose < this.bottom) : (currentClose > this.top) 4) Market Structure: pivots, BOS, and MSS Swings are derived from pivots; then BOS/MSS prints when price crosses the latest swing. The script tracks trend state to decide whether the break is continuation (BOS) or shift (MSS). float ph = ta.pivothigh(i_structLen, i_structLen) float pl = ta.pivotlow(i_structLen, i_structLen) bool brokenHigh = ta.crossover(close, lastHigh) bool brokenLow = ta.crossunder(close, lastLow) // drawStructure(..., "BOS", ...) or drawStructure(..., "MSS", ...) depending on trend state 5) SMT Divergence conditions SMT uses pivot highs/lows on both instruments. A bearish SMT prints when the main chart makes a higher high but the compare symbol fails to exceed its prior high. A bullish SMT prints when the main chart makes a lower low but the compare symbol fails to make a lower low. bool bearishSmt = not na(smtAHighPrev) and not na(smtBHighPrev) and (smtAHighLast > smtAHighPrev) and (smtBHighLast <= smtBHighPrev) bool bullishSmt = not na(smtALowPrev) and not na(smtBLowPrev) and (smtALowLast < smtALowPrev) and (smtBLowLast >= smtBLowPrev) 6) FVG detection, BPR construction, and CE level FVGs are detected via a classic 3 bar gap condition. When a new FVG overlaps an opposing FVG, the script builds a BPR using the intersecting region. CE is the midpoint (top + bottom) / 2, plotted as a dashed line plus a half fill box. bool fvgBullDetected = low > high bool fvgBearDetected = high < low // CE float ceLevel = (this.top + this.bottom) / 2 Imbalance mitigation uses wick logic: method isMitigated(FVG this, float currentHigh, float currentLow) => this.isBull ? (currentLow < this.bottom) : (currentHigh > this.top) 7) Liquidity sweep trigger A sweep is confirmed only when price runs the pivot level and closes back through it (reject style). bool sweepBull = i_showLiq and not na(liqLastLow) and not liqLastLowSwept and low < liqLastLow and close > liqLastLow bool sweepBear = i_showLiq and not na(liqLastHigh) and not liqLastHighSwept and high > liqLastHigh and close < liqLastHigh 8) Killzone session mapping Sessions are defined in UTC-5 using time() session strings. string kzTz = "UTC-5" kzInSession(string sess) => not na(time(timeframe.period, sess, kzTz)) bool inAsian = kzInSession("2000-0000") bool inLondon = kzInSession("0200-0500") bool inNY = kzInSession("0830-1100")
Pine Script® göstergesi
Kodexius tarafından
SignalViper Glide - Market State ConfluenceSignalViper Glide — Market State Confluence Dashboard Glide is a market context tool that evaluates momentum and trend behavior to help traders quickly understand current trading conditions. Instead of forcing trades or generating aggressive signals, Glide focuses on clarity: it highlights whether conditions are aligned, conflicted, strengthening, weakening, or neutral. Glide analyzes: Momentum (RSI-based) to assess acceleration, fading movement, or potential reversals Trend Strength & Direction (ADX/DMI-based) to determine whether markets are trending or ranging, and which side currently has control When these dimensions align, Glide highlights directional bias. When they conflict, it warns the user and encourages caution. Think of Glide as a market awareness layer: it doesn’t claim certainty or promise outcomes; it summarizes the environment so traders can make better decisions. What Glide Shows Glide displays a clean, real-time dashboard including: Momentum state (rising, falling, or flat) Trend condition (bullish trend, bearish trend, chop, or no trend) Alignment / warning status Directional bias when present Optional ATR-based reference levels for SL / TP tracking Use Glide When You Want To Understand whether conditions support directional trading or patience See whether trend and momentum agree or disagree Track bias shifts in real time Stay out of weak, conflicting, or indecisive environments Glide is designed to reduce guesswork and help traders stay aware of the “market climate” before making decisions. Settings RSI Length ADX Length ADX Threshold Dashboard display options Disclaimer Glide provides analytical context only. It is not financial advice or an entry system by itself. Always perform your own analysis and manage risk appropriately. Past performance does not guarantee future results.
Pine Script® göstergesi
signalviper tarafından
Vincere Early Setup Detection [Free]Purpose : Detects and highlights early CISD (higher-timeframe swing-derived) levels to help identify potential reversals or continuation areas on your chart. How it works HTF selection: HTF Mode chooses between Auto mapping or a Custom timeframe. Simple HTF swing tracking: Records HTF open/high/low/close for the current and previous HTF to measure structure. Sweep detection: Detects when HTF highs/lows are swept and uses that context to qualify setups. Settings HTF Mode: Auto or Custom — choose HTF mapping behavior. Custom Timeframe: specify an explicit HTF when HTF Mode = Custom. Show early cisd: toggles confirmed CISD visuals. Hide Historical Early CISD: when enabled, only the latest CISD boxes remain visible. Show Future Early CISD?: toggles tentative candidate lines. Future CISD Style / Line Width: style and thickness for tentative lines. Bullish color / Bearish color: color selection for boxes and tentative lines. Features: Confirmed CISD: persistent line drawn from origin to confirmation, colored by direction. Tentative lines: short, styled lines representing candidate levels before confirmation. History handling: option to clear prior CISD boxes to reduce chart clutter. Primary use: visually surface higher-timeframe swing-derived levels that show early setup behavior on the working timeframe. Confirmation approach: treat tentative lines as “watch” levels; wait for confirmation or supporting price action before trading. Timeframe guidance: Auto provides convenient HTF mapping; use Custom when you want explicit HTF control for your strategy. Combining with other tools: pair with session levels, market structure, or volume/orderflow tools to increase conviction. Not a standalone strategy: VESD² is a detection/visualization tool — always use proper risk management and additional confirmations.
Pine Script® göstergesi
rz_0725 tarafından
E9 MTF Candle Array E9 MTF Candle Array plots up to six selectable higher-timeframe candle sets (e.g., H1/H4/D1/W1) as “mini candles” stacked to the right of your chart for fast multi-TF context. For each HTF, it also draws a shaded High–Low range box on the main chart that spans the candle’s time window and updates in real time as the current HTF candle forms, then “locks” the prior box when a new HTF candle opens. Optional features include HTF labels and countdown timers, Open/Close/High/Low trace lines with price labels, day/interval markers, and imbalance highlighting (FVG/VI) on the displayed HTF candle array. *Work in progress.
Pine Script® göstergesi
E9XBT tarafından
PA SystemPA System 短简介 Short Description（放在最上面） 中文： PA System 是一套以 AL Brooks 价格行为为核心的策略（Strategy），将 结构（HH/HL/LH/LL）→ 回调（H1/L1）→ 二次入场（H2/L2 微平台突破） 串成完整可回测流程，并可选叠加 BoS/CHoCH 结构突破过滤 与 Liquidity Sweep（扫流动性）确认。内置风险管理：定风险仓位、部分止盈、保本、移动止损、时间止损、冷却期。 English: PA System is an AL Brooks–inspired Price Action strategy that chains Market Structure (HH/HL/LH/LL) → Pullback (H1/L1) → Second Entry (H2/L2 via Micro Range Breakout) into a complete backtestable workflow, with optional BoS/CHoCH structure-break filtering and Liquidity Sweep confirmation. Built-in risk management includes risk-based sizing, partial exits, breakeven, trailing stops, time stop, and cooldown. ⸻ 1) 核心理念 Core Idea 中文： 这不是“指标堆叠”，而是一条清晰的价格行为决策链： 结构确认 → 回调出现 → 小平台突破（二次入场）→ 风控出场。 策略把 Brooks 常见的“二次入场”思路程序化，同时用可选的结构突破与扫流动性模块提升信号质量、减少震荡误入。 English: This is not an “indicator soup.” It’s a clear price-action decision chain: Confirmed structure → Pullback → Micro-range breakout (second entry) → Risk-managed exits. The system programmatically implements the Brooks-style “second entry” concept, and optionally adds structure-break and liquidity-sweep context to reduce chop and improve trade quality. ⸻ 2) 主要模块 Main Modules A. 结构识别 Market Structure (HH/HL/LH/LL) 中文： 使用 pivot 摆动点确认结构，标记 HH/HL/LH/LL，并可显示最近一组摆动水平线，方便对照结构位置。 English: Uses confirmed pivot swings to label HH/HL/LH/LL and optionally plots the most recent swing levels for clean structure context. B. 状态机 Market Regime (State Machine + “Always In”) 中文： 基于趋势K强度、EMA关系与波动范围，识别市场环境（Breakout/Channel/Range）以及 Always-In 方向，用于过滤不合适的交易环境。 English: A lightweight regime engine detects Breakout/Channel/Range and an “Always In” directional bias using momentum and EMA/range context to avoid low-quality conditions. C. 二次入场 Second Entry Engine (H1→H2 / L1→L2) 中文： • H1/L1：回调到结构附近并出现反转迹象 • H2/L2：在 H1/L1 后等待最小 bars，然后触发 Micro Range Breakout（小平台突破）并要求信号K收盘强度达标 这一段是策略的“主发动机”。 English: • H1/L1: Pullback into structure with reversal intent • H2/L2: After a minimum wait, triggers on Micro Range Breakout plus a configurable close-strength filter This is the main “entry engine.” D. 可选过滤器 Optional Filters (Quality Boost) BoS/CHoCH（结构突破过滤） 中文： 可识别 BoS / CHoCH，并可要求“入场前最近 N bars 必须有同向 break”。 English: Detects BoS/CHoCH and can require a recent same-direction break within N bars. Liquidity Sweeps（扫流动性确认） 中文： 画出 pivot 高/低的流动性水平线，检测“刺破后收回”的 sweep，并可要求入场前出现同向 sweep。 English: Tracks pivot-based liquidity levels, confirms sweeps (pierce-and-reclaim), and can require a recent sweep before entry. E. FVG 可视化 FVG Visualization 中文： 提供 FVG 区域盒子与管理模式（仅保留未回补 / 仅保留最近N），主要用于区域理解与复盘，不作为强制入场条件（可自行扩展）。 English: Displays FVG boxes with retention modes (unfilled-only or last-N). Primarily for context/analysis; not required for entries (you can extend it as a filter/target). ⸻ 3) 风险管理 Risk Management (Built-In) 中文： • 定风险仓位：按账户权益百分比计算仓位 • SL/TP：基于结构 + ATR 缓冲，且限制最大止损 ATR 倍 • 部分止盈：到达指定 R 后减仓 • 保本：到达指定 R 后推到 BE • 移动止损：到达指定 R 后开始跟随 • 时间止损：持仓太久不动则退出 • 冷却期：出场后等待 N bars 再允许新单 English: • Risk-based sizing: position size from equity risk % • SL/TP: structure + ATR buffer with max ATR risk cap • Partial exits at an R threshold • Breakeven at an R threshold • Trailing stop activation at an R threshold • Time stop to reduce chop damage • Cooldown after exit to avoid rapid re-entries ⸻ 4) 推荐使用方式 Recommended Usage 中文： • 推荐从 5m / 15m / 1H 开始测试 • 想更稳：开启 EMA Filter + Break Filter + Sweep Filter，并提高 Close Strength • 想更多信号：关闭 Break/Sweep 过滤或降低 Swing Length / Close Strength • 回测时务必设置合理的手续费与滑点，尤其是期货/指数 English: • Start testing on 5m / 15m / 1H • For higher quality: enable EMA Filter + Break Filter + Sweep Filter and increase Close Strength • For more signals: disable Break/Sweep filters or reduce Swing Length / Close Strength • Use realistic commissions/slippage in backtests (especially for futures/indices) ⸻ 5) 重要说明 Notes 中文： 结构 pivot 需要右侧确认 bars，因此结构点存在天然滞后（确认后不会再变）。策略逻辑尽量避免不必要的对象堆叠，并对数组/对象做了稳定管理，适合长期运行与复盘。 English: Pivot-based structure requires right-side confirmation (inherent lag; once confirmed it won’t change). The script is designed for stability and resource-safe object management, suitable for long sessions and review. ⸻ 免责声明 Disclaimer（建议原样保留） 中文： 本脚本仅用于教育与研究目的，不构成任何投资建议。策略回测结果受市场条件、手续费、滑点、交易时段、数据质量等影响显著。使用者需自行验证并承担全部风险。过往表现不代表未来结果。 English: This script is for educational and research purposes only and does not constitute financial advice. Backtest results are highly sensitive to market conditions, fees, slippage, session settings, and data quality. Use at your own risk. Past performance is not indicative of future results.
Pine Script® stratejisi
Yistle tarafından
AUTO ALERT All Charts: Compression + Volume + Momentum Breakout//@version=5 indicator("AUTO ALERT: Compression + Volume + Momentum Breakout", overlay=true) // ===== INPUTS ===== atrLen = input.int(14, "ATR Length") atrLookback = input.int(20, "ATR Compression Lookback") volLen = input.int(20, "Volume MA Length") rsiLen = input.int(14, "RSI Length") rangeBars = input.int(10, "Compression Range Bars") volMultiplier = input.float(2.5, "Volume Spike Multiplier") // Use 3 for REC rsiBull = input.int(55, "RSI Bull Level") rsiBear = input.int(45, "RSI Bear Level") // ===== CALCULATIONS ===== // ATR Compression atr = ta.atr(atrLen) atrCompressed = atr <= ta.lowest(atr, atrLookback) * 1.05 // Price Compression Range rangeHigh = ta.highest(high, rangeBars) rangeLow = ta.lowest(low, rangeBars) // Volume Spike volMA = ta.sma(volume, volLen) volSpike = volume >= volMA * volMultiplier // RSI Momentum rsi = ta.rsi(close, rsiLen) bullMomentum = ta.crossover(rsi, rsiBull) bearMomentum = ta.crossunder(rsi, rsiBear) // ===== BREAKOUT CONDITIONS ===== bullBreakout = atrCompressed and volSpike and bullMomentum and close > rangeHigh bearBreakdown = atrCompressed and volSpike and bearMomentum and close < rangeLow // ===== OPTIONAL: PRE-BREAKOUT ALERT ===== compressionOnly = atrCompressed and not volSpike // ===== VISUAL MARKERS ===== plotshape(bullBreakout, title="BUY", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(bearBreakdown, title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small) // ===== ALERTS ===== alertcondition(bullBreakout, title="Bullish Breakout Alert", message="🚀 BULLISH BREAKOUT on {{ticker}} | TF: {{interval}} | Close: {{close}}") alertcondition(bearBreakdown, title="Bearish Breakdown Alert", message="🔻 BEARISH BREAKDOWN on {{ticker}} | TF: {{interval}} | Close: {{close}}") alertcondition(compressionOnly, title="Compression Alert", message="⏳ VOLATILITY COMPRESSION on {{ticker}} | Watch for breakout")
Pine Script® göstergesi
maddy01987 tarafından
Scalp Signal Pro══════════════════════════════════════════════════════════════ SCALP SIGNAL PRO Multi-Confluence Day Trading System ══════════════════════════════════════════════════════════════ 🎯 OVERVIEW ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Scalp Signal Pro is a professional day trading indicator that combines 12+ technical factors into a weighted confluence scoring system (0-20 points). Signals only fire when the score exceeds your threshold AND all trend filters align. Designed for: Scalping stocks, options (CALL/PUT), futures Best timeframes: 1-5 minute charts Markets: Stocks, ETFs, Futures, Crypto ⚙️ HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CONFLUENCE SCORING ENGINE Each candle is scored by evaluating 12 technical factors: ┌─────────────────────────────────────────────────────────────┐ │ INDICATOR │ PARAMETERS │ MAX POINTS │ ├─────────────────────────────────────────────────────────────┤ │ RSI │ Length: 14 │ +2 (extreme OS/OB) │ │ │ OB: 80, OS: 20 │ +1 (bullish/bearish) │ ├─────────────────────────────────────────────────────────────┤ │ MACD │ Fast: 8 │ +2 (crossover) │ │ │ Slow: 21 │ +1.5 (strong trend) │ │ │ Signal: 5 │ +1 (aligned) │ ├─────────────────────────────────────────────────────────────┤ │ EMA Stack │ Fast: 13 │ +2 (perfect stack) │ │ │ Mid: 48 │ +1 (partial stack) │ │ │ Slow: 200 │ +0.5-1 (price pos) │ ├─────────────────────────────────────────────────────────────┤ │ VWAP │ Source: HLC3 │ +1.5 (bounce/reject) │ │ │ Reset: Daily │ +0.5 (above/below) │ ├─────────────────────────────────────────────────────────────┤ │ ADX │ Length: 14 │ +1.5 (very strong) │ │ │ Threshold: 30 │ +1 (strong trend) │ ├─────────────────────────────────────────────────────────────┤ │ Volume │ SMA: 20 │ +1.5 (spike >2x) │ │ │ Spike: 2.0x │ +1 (high >1.5x) │ ├─────────────────────────────────────────────────────────────┤ │ Stochastic RSI │ Length: 14 │ +1.5 (cross at ext) │ │ │ K Smooth: 3 │ +0.5 (aligned) │ ├─────────────────────────────────────────────────────────────┤ │ Bollinger Bands │ Length: 20 │ +1.5 (BB bounce) │ │ │ StdDev: 2.0 │ +0.5 (position) │ ├─────────────────────────────────────────────────────────────┤ │ Candlestick │ ATR-based │ +1.5 (engulfing) │ │ Patterns │ │ +1 (strong candle) │ ├─────────────────────────────────────────────────────────────┤ │ Momentum │ Length: 10 │ +1 (MOM + ROC bull) │ │ Rate of Change │ Length: 10 │ +0.5 (MOM only) │ ├─────────────────────────────────────────────────────────────┤ │ Trend Context │ EMA alignment │ +1 (strong trend) │ │ │ Price structure │ │ └─────────────────────────────────────────────────────────────┘ SIGNAL FREQUENCY OPTIONS: • High (6+ points): More signals, lower selectivity • Moderate (8+ points): Balanced - RECOMMENDED • Selective (10+ points): Fewer, higher quality signals • Very Selective (12+ points): Rare, high conviction • Ultra Selective (14+ points): Very rare, highest quality ⭐ VCRE SIGNAL SYSTEM ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Volume-Confirmed Reversal Engine - A separate signal system for high-probability reversals. HOW IT WORKS: 1. ANCHOR: Price breaks below ALL of last 20 lows (bullish) or above ALL of last 20 highs (bearish) with 2x average volume 2. CONFIRMATION: Within 3 bars, price crosses back above anchor high (bullish) or below anchor low (bearish) 3. SIGNAL: B (bullish) or S (bearish) label appears with star rating PARAMETERS: • Candle Lookback: 20 • Confirm Within: 3 bars • Anchor Volume Multiplier: 2.0x • Confirm Volume Multiplier: 1.2x • Macro Trend EMA: 200 STAR RATING (3-5 Stars): ★★★ Base rating ★★★★ +1 for anchor volume OR confirm volume ★★★★★ +1 for macro trend alignment (price vs 200 EMA) 📊 MTF ANALYSIS PANEL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Real-time market structure analysis across 5 customizable timeframes. DEFAULT TIMEFRAMES: 4m | 15m | 1H | 4H | Daily METRICS: ┌─────────────────────────────────────────────────────────────┐ │ MOMENTUM (0-200) │ │ • Combines: RSI (35%), ROC (25%), MOM (20%), MACD (20%) │ │ • 100 = neutral | >110 = bullish | <90 = bearish │ ├─────────────────────────────────────────────────────────────┤ │ SENTIMENT (0-100) │ │ • Price vs EMAs, stack alignment, volume sentiment │ │ • 50 = neutral | >55 = bullish | <45 = bearish │ ├─────────────────────────────────────────────────────────────┤ │ VOLATILITY (0-100) │ │ • ATR ratio, BB width, TR ratio, Std Dev │ │ • Lower = calm | Higher = volatile │ └─────────────────────────────────────────────────────────────┘ OVERALL BIAS: ▲ BULLISH: Avg Momentum > 110 AND Avg Sentiment > 55 ▼ BEARISH: Avg Momentum < 90 AND Avg Sentiment < 45 ◆ NEUTRAL: All other conditions 📈 HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. Add indicator to chart (1-5 min timeframe recommended) 2. Configure Signal Frequency (start with "Moderate") 3. Enable Session Filter for optimal trading hours 4. Wait for signal: Green ▲ CALL or Red ▼ PUT 5. Confirm MTF Panel shows aligned bias 6. Check signal score and R:R ratio displayed 7. Execute trade with ATR-based SL/TP levels 🕐 SESSION FILTER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ When enabled, signals only fire during high-volume periods (EST): • Morning Session: 9:30 AM - 11:00 AM (market open momentum) • Afternoon Session: 2:00 PM - 3:30 PM (power hour setup) 📏 KEY LEVELS DISPLAYED ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • PDH / PDL - Previous Day High/Low (Cyan, Solid) • 2DH / 2DL - 2 Days Ago High/Low (Orange, Dashed) • PWH / PWL - Previous Week High/Low (Pink, Dotted) ⚙️ RECOMMENDED SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ┌────────────────────┬────────────────────────────────────────┐ │ Setting │ Recommended Value │ ├────────────────────┼────────────────────────────────────────┤ │ Signal Frequency │ Moderate (beginners) / Selective (exp) │ │ Strict Mode │ ON (all filters must align) │ │ Session Filter │ ON (avoid choppy periods) │ │ Cooldown Bars │ 8 (prevents overtrading) │ │ Stop Loss (xATR) │ 1.0 │ │ Take Profit (xATR) │ 1.5 (1.5:1 R:R ratio) │ └────────────────────┴────────────────────────────────────────┘ 🔔 AVAILABLE ALERTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • LONG (Call) Signal • SHORT (Put) Signal • Any Scalp Signal • VCRE Bullish Signal • VCRE Bearish Signal • Any VCRE Signal • VCRE High-Quality Buy/Sell (4+ Stars) • VCRE BEST Buy/Sell (5 Stars) ✨ WHAT MAKES IT UNIQUE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. WEIGHTED CONFLUENCE ALGORITHM Not a simple indicator mashup - each factor is weighted by importance and market context. The scoring system evaluates momentum, trend, volume, and volatility together to generate high-conviction signals. 2. ORIGINAL VCRE METHODOLOGY The Volume-Confirmed Reversal Engine uses an original anchor-confirmation pattern that identifies potential reversal zones validated by volume analysis. This two-step confirmation process helps filter out false signals. 3. COMPREHENSIVE MTF PANEL Professional market structure analysis displaying momentum, sentiment, and volatility calculations across multiple timeframes in a single, easy-to-read dashboard. 4. SMART FILTERS Session filter limits signals to high-volume trading hours. Cooldown system prevents overtrading. Volatility requirements and strict mode ensure signals only fire in optimal market conditions. 5. BUILT-IN RISK MANAGEMENT ATR-based dynamic stop loss and take profit levels with customizable risk:reward ratios displayed on every signal, helping traders maintain consistent position sizing. ⚠️ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator is for educational purposes only. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never trade with money you cannot afford to lose. This is not financial advice. ══════════════════════════════════════════════════════════════
Pine Script® göstergesi
A1TradingHub tarafından
V-Max L2B: SMC Terrain Map (Institutional Order Flow)Overview The SMC Terrain Map (V-Max L2B) is a professional-grade structural analysis engine based on Smart Money Concepts (SMC). It provides a high-fidelity "topographical" view of market liquidity by automatically identifying and projecting institutional Supply/Demand zones, Fair Value Gaps (FVG), and Order Blocks (OB). The tool is designed to synchronize structural shifts with tactical execution. Technical Methodology & Originality L2B moves beyond simple price marking by employing a sophisticated object management and tactical filtering engine, justifying its invite-only status: Dynamic Mitigation & Sweeping Engine: Utilizing a custom SMCBox data structure, the script tracks institutional zones in real-time. It features a "Physical Mitigation Detection" system that automatically invalidates zones when price action effectively sweeps the liquidity, ensuring traders focus only on fresh, unmitigated levels. Strategic-Lock Mechanism (v6.7 Update): This proprietary logic eliminates false signals during choppy conditions. Signals are interlocked with the presence of active OBs; a "War God" label will only trigger if an unmitigated zone is physically present on the chart. Quantitative Trend Slope Filter: The system integrates EMA slope detection. During flat market phases, the engine enters "Silent Mode," automatically filtering out rapid flip-flop signals and meaningless noise from lateral price action. Adaptive Profit Margin Defense: The script employs an original "is_room_to_trade" logic. It calculates the structural gap between localized levels and requires a minimum threshold (2.5x ATR) before validating alerts. This prevents overtrading in "Choke Zones" where the risk-reward ratio is statistically unfavorable. Bar-Index Physical Lock: To prevent duplicate alert "spamming" on lower timeframes (e.g., 3M), the script utilizes a bar-index locking mechanism, ensuring only one high-conviction signal is issued per structural event. How to Use Zone Confluence: Identify high-probability setups when the "War God" tactical labels align with unmitigated Order Blocks (OB). Trend Transitions: Monitor the "🛡️ Retreat" labels and CHoCH (Change of Character) markers for early warnings of structural failure or trend reversals. 產品概述 V-Max L2B SMC 撐阻地形圖是一款專業級結構分析引擎。它透過自動識別並投影機構級供應/需求區、失衡缺口 (FVG) 與訂單塊 (OB)，為交易者提供高清晰度的市場流動性「地形圖」，並將結構轉變與戰術執行同步化。 技術邏輯與原創性 L2B 作為僅限邀請工具，其技術價值體現在精密的物件管理與戰術鎖定引擎： 動態失效與清掃引擎： 採用自定義 SMCBox 數據結構，具備實時「物理失效檢測」。當價格清掃流動性時，系統自動標註失效，確保交易者僅關注未被觸碰的有效區間。 Strategic-Lock 戰略鎖定 (v6.7 更新)： 此邏輯消除了震盪行情下的誤報。訊號與實體 OB 聯鎖；只有在畫面上存在有效、未失效的 OB 時，系統才會觸發「戰神」進場標籤。 量化趨勢斜率過濾： 引入 EMA 斜率判定技術。當市場進入橫盤、均線走平時，系統自動進入靜默模式，過濾無意義的多空頻繁轉換訊號。 適應獲利空間防禦： 內建原創空間過濾邏輯。系統要求結構空間須達到 2.5 倍 ATR 門檻才允許發出警報，有效避開盈虧比不利的「窒息區」。 K 棒物理鎖： 具備單根 K 棒警報鎖定機制，防止在低時區（如 3M）因價格反覆摩擦而導致的重複誤報。 Access & Authorization This is an Invite-Only script. Please refer to my TradingView Profile Signature for instructions on how to request access and authorization. Disclaimer: This script is for technical analysis and educational purposes only. Trading involves risk.
Pine Script® göstergesi
VMaxWorkshop tarafından
EMA + Previous Candle High/LowA versatile multi-timeframe indicator that combines customizable EMAs with previous candle levels for precise support/resistance identification. Key Features: 📊 4 Fully Customizable EMAs: EMA 9 (Yellow) - Fast-moving for scalping EMA 20 (Blue) - Short-term trend EMA 50 (Orange) - Medium-term trend EMA 200 (White) - Long-term trend direction Each EMA is independently customizable: Adjustable period length Custom color selection Line thickness (1-5) Transparency control (0-100%) 📈 Previous Candle Levels: Displays high/low from any timeframe (default: Daily) Green line for Previous High Red line for Previous Low Customizable line style: Solid, Dashed, or Dotted Optional shaded zone between high/low with adjustable transparency Price labels showing exact levels Configurable line extension (10-200 bars forward) Use Cases: Day traders: Use Daily high/low with fast EMAs (9/20) for intraday support/resistance Swing traders: Use Weekly high/low with slower EMAs (50/200) for trend confirmation Scalpers: Combine 5-min previous levels with EMA 9 for quick entries Position traders: Weekly/Monthly levels with EMA 200 for long-term bias Why This Indicator: Previous timeframe highs/lows act as natural support/resistance where price often reacts. Combined with EMAs for trend confirmation, you get clear levels to enter trades with confluence. The full customization allows you to match any trading style or chart theme.
Pine Script® göstergesi
mikecruz0407 tarafından
[iQ]PRO Market Sessions+ This session-mapping tool provides a comprehensive visualization of institutional time cycles, ranging from major global shifts to micro-bracket intervals. It is designed for traders who utilize time-of-day influence and institutional delivery cycles to identify high-probability liquidity zones and volatility windows. Theoretical Methodology The PRO Market Sessions+ operates on the principle of temporal fractal analysis. It assumes that price action is not merely a series of random fluctuations but is governed by specific institutional operating hours where liquidity is most concentrated. Macro and Micro Cycle Bracketing: The script utilizes a proprietary nesting logic to frame price action into distinct 270-minute (Macro), 90-minute (Standard), and 30/10-minute (Micro) intervals. By observing how price reacts within these specific time-based "boxes," traders can identify where institutional accumulation or distribution is occurring. Equilibrium and Opening Volatility: The methodology emphasizes the importance of the "opening price" and the "equilibrium" (midpoint) of each session. These levels act as dynamic magnets and institutional pivots, helping to determine if a specific time bracket is trending or mean-reverting. Multi-Session Convergence: By overlaying Asia, London, and New York sessions with high precision, the script identifies overlaps—periods where multiple global liquidity pools converge, often leading to the day's most significant moves. Key Features Fractal Time Segments: Toggle between 270, 90, 30, and 10-minute institutional brackets. Global Session Mapping: High-fidelity visualization of Asia (18:00-02:30), London (02:30-07:00), and New York (07:00-16:00) sessions. Automated Equilibrium (EQ) Calculation: Identifies the 50% retracement level of every time bracket automatically. Institutional Open Tracking: Visualizes the opening price of each session to monitor "Power of 3" (Accumulation, Manipulation, Distribution) setups. Historical Reference Levels: Automated plotting of Previous Day, Week, and Month Highs/Lows for institutional liquidity targeting. Clean Visual Hierarchy: Uses dynamic box finalized logic to ensure a professional, non-cluttered chart interface. How to Use Step 1: Identify the Higher Timeframe Bias: Use the Daily and Weekly levels (automatically plotted) to determine the overall institutional direction. Step 2: Monitor the Macro Brackets (270m): Observe if the AM or PM New York sessions are creating expansion or consolidation. Step 3: Execute in Micro Windows: Look for price to reach the Equilibrium (EQ) or the Session Open of a 90m or 30m bracket for potential entries. Step 4: Manage Risk: Utilize the High/Low labels within the brackets to place stops at recent liquidity points. Settings & Configuration Session Toggles: Independently enable or disable Asia, London, and New York (AM/PM) segments. Interval Customization: Choose which nested timeframes (90m, 30m, 10m) to display based on your trading style. Visual Aesthetics: Fully customizable colors, border widths, and label alignments to match any chart theme. Reference Levels: Toggle Previous Day, Week, and Month High/Low lines.
Pine Script® göstergesi
MarketMakerlQ tarafından
RF iFVG MTF V1Inverse Fair Value Gaps (iFVGs) are a powerful confluence because they mark areas where the market first left a clear imbalance (an FVG), then later returned and proved participation by closing fully through that zone. In other words, they often highlight prices where liquidity was exchanged and orderflow “flipped,” making them useful as potential reaction areas for: The RF iFVG MTF indicator Once confirmed, draws the iFVG zone and is projected forward as an actionable area of interest and remains active until price invalidates the zone. Use this zone from a higher time frame as a POI, or use it on the current chart time frame as an entry model. You can run it on the current chart timeframe or enable MTF mode to detect iFVGs from a higher timeframe while plotting them directly on your chart for clean top-down context. Includes adjustable gap filtering, and inversion timing (N bars) to adjust the sensitivity of the iFVG logic
Pine Script® göstergesi
RF-Trades tarafından
Institutional Bottom Hunter ProInstitutional Bottom Hunter Pro: A Comprehensive Guide to Advanced Bottom Detection Executive Summary The Institutional Bottom Hunter Pro (IBH Pro) represents a paradigm shift in technical analysis for retail and institutional investors seeking to identify high-probability market bottoms. Unlike conventional oversold indicators that rely on single-dimensional analysis, IBH Pro employs an eight-layer ensemble methodology that synthesizes market regime detection, volume analysis, fractal geometry, volatility dynamics, statistical mean reversion, cycle theory, institutional footprint recognition, and machine learning-inspired adaptive weighting. This comprehensive approach transforms bottom-picking from speculation into a data-driven probabilistic framework. I. The Specialty: What Makes IBH Pro Different A. Multi-Dimensional Analytical Framework Most technical indicators suffer from the "single lens" problem—RSI identifies oversold conditions, MACD reveals momentum divergence, and volume indicators track accumulation, but each operates in isolation. IBH Pro's revolutionary approach integrates seven independent analytical systems into a unified probability score, creating a holistic view of market conditions that individual indicators cannot provide. The script's architecture mirrors institutional-grade quantitative analysis: Market Regime Detection ensures signals only activate during genuine correction phases Wyckoff-Inspired Volume Analysis identifies supply exhaustion using climactic volume, absorption patterns, and effort-versus-result dynamics Fractal Pattern Recognition detects structural bottoms through Williams fractals, double/triple bottoms, and reversal candlestick patterns Volatility Regime Analysis quantifies fear extremes using ATR percentiles, Bollinger Band compression, and volatility term structure Statistical Mean Reversion employs multi-timeframe Z-scores to measure price displacement from equilibrium Ehlers Cycle Detection identifies cyclical troughs using autocorrelation and phase analysis Passive Buying Detection reveals institutional accumulation through Money Flow Index divergences, Chaikin Money Flow, and volume footprint analysis B. Adaptive Weight Optimization (GBM-Inspired Machine Learning) The true innovation lies in the Gradient Boosting Machine (GBM) ensemble scoring system with adaptive weight optimization. Traditional indicators assign static importance to each component, but IBH Pro continuously learns from its own performance: Performance Tracking: The system monitors whether previous signals resulted in profitable price advances Dynamic Weight Adjustment: Components that contribute to successful signals receive increased weighting, while underperforming factors are de-emphasized Market Adaptation: The indicator automatically adjusts to changing market conditions—for example, increasing volume analysis weight during climactic selloffs or emphasizing cycle detection in ranging markets This creates a self-improving system that becomes more accurate over time, unlike static indicators that degrade as market conditions evolve. C. Interaction Effect Multipliers IBH Pro recognizes that analytical components don't operate independently—they create synergistic relationships: Volume + Fractal Synergy: A double bottom pattern (fractal) confirmed by volume exhaustion carries exponentially higher probability than either signal alone Mean Reversion + Volatility Synergy: Extreme statistical displacement combined with volatility expansion indicates capitulation Cycle + Correction Synergy: Cyclical troughs occurring during technical corrections represent optimal entry zones The script applies multiplicative bonuses when multiple high-probability conditions align, capturing the compounding effect of confluence that professional traders utilize. II. How the Eight-Layer Architecture Works Layer 1: Market Regime Detection Purpose: Filter out false signals during trending markets where "oversold" conditions can persist indefinitely. Methodology: The system calculates drawdown from the recent high (50-200 bar lookback) and requires minimum decline thresholds before activating. It analyzes: Momentum decay: Rate-of-change deterioration from peak values Trend strength weakening: ADX decline indicating trend exhaustion Moving average displacement: Distance below 20/50/100 SMAs User Application: Set the "Minimum Drawdown for Correction" parameter based on asset volatility: Low volatility stocks (utilities, consumer staples): 5-8% Medium volatility (large-cap tech, industrials): 8-12% High volatility (small-caps, growth stocks): 12-20% This ensures the system only hunts bottoms when genuine corrections occur, not during minor consolidations. Layer 2: Volume Supply Exhaustion Analysis Purpose: Identify when selling pressure has been fully absorbed by buyers—a hallmark of institutional bottoming patterns. Wyckoff-Inspired Components: Climactic Volume Detection: Identifies panic selling when volume exceeds the 20-day average by 2x+ (adjustable multiplier), particularly on down days Volume Dry-Up After Climax: Tracks whether volume contracts below 60% of average following the climax—indicating seller exhaustion Effort vs. Result Analysis: Measures whether high volume (effort) produces minimal price decline (result), suggesting absorption by strong hands Up/Down Volume Ratio: Segregates volume by bar direction, revealing when buying volume begins dominating despite price weakness OBV/A-D Divergences: Detects when cumulative volume indicators trend upward while price trends downward—classic accumulation signature User Application: In high-volume liquid stocks, increase the Climax Volume Multiplier to 2.5-3.0 to filter noise For low-volume small-caps, decrease to 1.5-2.0 to capture subtler signals Enable "Use Up/Down Volume Analysis" for all equity analysis; disable for highly illiquid instruments Layer 3: Fractal Pattern Recognition Purpose: Identify structural price formations that mark trend reversals through geometric pattern analysis. Components: Williams Fractals: Detects swing highs/lows using N-bar symmetry (default 5 bars) Double/Triple Bottom Detection: Identifies repeated tests of support within tolerance thresholds (default 2%), storing the five most recent fractal lows for pattern matching Reversal Candlestick Patterns: Recognizes hammers, bullish engulfing, morning stars, dragonfly dojis, and bullish harami formations Support Proximity Analysis: Measures distance to recent support zones and identifies bounces with strong closes User Application: Daily timeframe: Use default 5-bar fractal period with 2% tolerance Weekly timeframe: Increase to 7-bar period with 3% tolerance Intraday (1-hour): Decrease to 3-bar period with 1.5% tolerance The Pattern Tolerance parameter accommodates price volatility—increase for volatile instruments Layer 4: Volatility Regime Analysis Purpose: Quantify fear extremes and identify volatility compression/expansion cycles that precede reversals. Components: ATR Percentile Ranking: Determines if current volatility ranks in the top 25% of recent range—indicating fear Bollinger Band Analysis: Price below lower band = oversold extreme Band width contraction = squeeze (energy building for reversal) %B calculation shows precise position within bands Keltner Channel Integration: True squeeze detection when Bollinger Bands compress inside Keltner Channels Volatility Term Structure: Compares 20-day vs. 50-day historical volatility to identify "backwardation" (short-term vol exceeding long-term), which marks panic conditions User Application: Bollinger StdDev: Keep at 2.0 for standard analysis; increase to 2.5-3.0 for extremely volatile assets to reduce false oversold signals Keltner Multiplier: Default 1.5 works for most equities; increase to 2.0 for high-beta stocks Watch for squeeze releases (when both ATR contracts then expands AND Bollinger Bands widen) as high-probability entry triggers Layer 5: Statistical Mean Reversion Purpose: Apply rigorous statistical methods to measure price displacement from equilibrium across multiple timeframes. Components: Multi-Method Z-Score Calculation: SMA-based Z-score (classical approach) EMA-based Z-score (weight recent data) Linear regression Z-score (trend-adjusted) VWAP deviation (volume-weighted equilibrium) RSI Z-Score: Identifies when RSI itself becomes statistically extreme relative to its historical distribution Multi-Timeframe Deviation: Measures distance from 20/50/100 SMAs simultaneously to detect structural dislocation User Application: Z-Score Threshold: Default -1.5 is moderate; decrease to -2.0 for higher-conviction signals with fewer triggers Mean Reversion Period: 30-40 bars for swing trading 50-70 bars for position trading 80-100 bars for long-term investing RSI Oversold Level: Keep at 30 for balanced signals; lower to 25 for higher conviction Layer 6: Cycle Detection (Ehlers Algorithms) Purpose: Identify dominant market cycles and detect when price reaches cyclical troughs, similar to institutional timing models. Methodology: The system employs John Ehlers' digital signal processing techniques: High-Pass Filter: Removes trend component to isolate cyclical behavior Super Smoother: Eliminates noise while preserving cycle structure Autocorrelation Analysis: Scans 10-50 bar periods to identify the dominant cycle length Phase Calculation: Determines current position within the cycle (trough, peak, or midpoint) Cycle Stochastic: Measures whether the detrended price is in the bottom 20% of its cycle range User Application: Minimum/Maximum Cycle Period: Adjust based on trading timeframe: Day traders: 5-20 bars Swing traders: 10-50 bars (default) Position traders: 20-80 bars Cycle detection works best on mean-reverting instruments (indices, large-caps) vs. strong trending small-caps High cycle confidence (autocorrelation >0.5) increases signal reliability significantly Layer 7: Passive Buying Detection Purpose: Identify institutional accumulation patterns that occur beneath the surface before public recognition. Components: Money Flow Index: Detects oversold conditions (<20) and bullish divergences Chaikin Money Flow: Reveals buying pressure even on down days when CMF remains positive Force Index Divergence: Identifies weakening selling force despite continued price decline Accumulation Pattern Recognition: Counts down-days with positive money flow (passive buying) Institutional Footprint: Detects high-volume reversals with closes near highs at support levels User Application: This layer is particularly valuable for identifying smart money activity before trend reversals Strong passive buying scores (>60) often precede sustainable rallies by 3-10 bars Combine with volume exhaustion for highest-conviction setups Layer 8: GBM Ensemble Scoring Purpose: Synthesize all seven analytical layers into a unified 0-100 probability score using adaptive machine learning. Process: Initial Weights: Start with balanced distribution (Correction: 15%, Volume: 18%, Fractal: 15%, Volatility: 12%, Mean Reversion: 15%, Cycle: 10%, Passive: 15%) Performance Tracking: Monitor whether signals lead to >2% gains within 5-20 bars Gradient Descent Adaptation: Successful components receive incremental weight increases; failed components decrease Normalization: Weights continuously rebalance to sum to 100% Interaction Effects: Apply multiplicative bonuses (default 1.2x) when multiple components exceed thresholds simultaneously Final Filtering: Apply the correction regime filter—reducing scores by 40% when not in defined correction phase User Application: Learning Rate: Default 0.02 provides steady adaptation; increase to 0.05 for faster learning in fast-changing markets Weight Boundaries: Min 0.08 / Max 0.35 prevents over-reliance on single factors Interaction Boost: Increase to 1.3-1.5 when seeking only highest-confluence setups Allow 50-100 bars for the adaptive system to calibrate to your specific asset III. How to Use IBH Pro Effectively for Bottom Finding A. Signal Hierarchy and Action Framework STRONG SIGNALS (Score ≥ 65, Green Triangle) Interpretation: High-probability institutional bottom with 4+ layers confirming Action for Investors: Aggressive: Enter 50-75% of intended position immediately Conservative: Enter 33% immediately, scale in on any lower retest Risk Management: Place stop-loss 3-5% below signal bar low (adjust for ATR) Expected Outcome: 60-75% success rate for 5%+ gain within 2-4 weeks MODERATE SIGNALS (Score 50-64, Yellow Triangle) Interpretation: Developing bottom with 2-3 confirming layers Action for Investors: Watch for additional confirmation (volume spike, reversal candle) Enter 25-33% position as "scout" entry Prepare for potential retest of lows Risk Management: Tighter stop (2-3% below low) or time-based stop (exit if no follow-through in 3 days) Expected Outcome: 45-60% success rate WEAK SIGNALS (Score 40-49) Interpretation: Early-stage bottom formation or false signal Action for Investors: Add to watchlist only Wait for score improvement to Moderate/Strong Useful for positioning ahead of potential signals Not recommended for position entry B. Optimal Entry Techniques 1. Immediate Entry (Aggressive) Enter at close of signal bar or next bar open Best when: Strong signal + climactic volume + reversal candle Risk: Potential for immediate 2-3% drawdown before reversal 2. Confirmation Entry (Balanced) Wait 1-2 bars after signal for bullish confirmation: Higher close than signal bar Above-average volume on up-day Break above short-term resistance Lower risk but may miss 1-2% of initial move 3. Scale Entry (Conservative) Enter 25% on signal Add 25% on successful retest of low (must hold above signal low) Add 25% on break above key resistance (20-day SMA) Reserve 25% for breakout above correction high Lowest risk but requires patience and discipline 4. Retest Entry (Patient) Wait for price to retest signal low within 5-10 bars Enter only if: Volume contracts significantly on retest (vs. signal day) Price holds above signal low (higher low) Reversal candle forms High probability but signals may not provide retest opportunity C. Dashboard Interpretation Guide The real-time dashboard provides critical intelligence for decision-making: Component Score Analysis: Scores >70 (Green): Strong confirmation from that layer Scores 50-69 (Yellow): Moderate support Scores <50 (Gray): Weak or no signal Look for "Stacked" Conditions: Ideal Setup: 4+ components >60 with Final Score >70 Good Setup: 3 components >60 with Final Score >60 Weak Setup: Only 1-2 components elevated Weight Column Intelligence: Increasing weights indicate the system is finding that component predictive for current market conditions If Volume weight climbs to 25-30%, the system is identifying volume-driven bottoms If Cycle weight grows, regular cyclical patterns are dominant Correction Indicator: "✓ CORR" (Green checkmark) = Required for high scores "✗ CORR" (Red X) = Not in correction; signals will be suppressed If you receive weak signals during strong uptrends, this is protective filtering working correctly D. Multi-Timeframe Analysis Strategy For highest-probability entries, apply IBH Pro across multiple timeframes: Weekly + Daily Alignment (Highest Conviction): Weekly chart shows Moderate/Strong signal (macro bottom) Daily chart triggers Strong signal within 5 bars of weekly signal Action: This is a major bottoming structure—allocate larger position size (1.5-2x normal) Daily Primary with Hourly Timing: Daily chart shows Moderate signal (bottom forming) Switch to 1-hour chart for precise entry Enter when hourly chart triggers Strong signal Advantage: Improved entry price by 1-3%, tighter stop-loss placement Avoid Counter-Trend Signals: If weekly timeframe is in strong downtrend (no correction detected), ignore daily signals Wait for weekly regime change before acting on lower timeframes E. Integration with Fundamental Analysis IBH Pro is most powerful when combined with fundamental screening: Optimal Workflow: Fundamental Filter First: Screen for quality companies: positive earnings growth, manageable debt, strong ROE Identify undervalued stocks: P/E below sector average, PEG <1.5 Check insider buying and institutional ownership trends Apply IBH Pro to Filtered Universe: Add 20-50 fundamentally sound stocks to watchlist Monitor IBH Pro scores daily Act when Strong signals appear on quality names Avoid Value Traps: IBH Pro may signal bottoms on deteriorating companies Always verify business fundamentals haven't permanently impaired Declining revenue, margin compression, or sector disruption can override technical signals Example: A pharmaceutical stock drops 25% on FDA trial delay. IBH Pro triggers Strong signal as panic subsides. Fundamental analysis reveals: ✓ Drug has alternative approval pathway ✓ Company has 4 other pipeline drugs ✓ Balance sheet supports 2+ years of operations Decision: High-conviction entry Counterexample: Retail stock drops 30% on bankruptcy rumors. IBH Pro signals potential bottom. Fundamental check shows: ✗ Negative cash flow for 3 consecutive quarters ✗ Debt covenant violations imminent ✗ Insider selling accelerated before drop Decision: Avoid despite technical signal IV. Usefulness for Different Investor Profiles A. Long-Term Investors (Buy-and-Hold) Primary Value: Quality Entry Points Long-term investors often struggle with timing—buying quality stocks at temporarily depressed prices rather than elevated valuations. How IBH Pro Helps: Patience Enforcement: Provides objective criteria to wait for corrections rather than chasing strength Drawdown Minimization: Entering on Strong signals typically reduces initial drawdown by 5-15% vs. random entry Dollar-Cost Averaging Optimization: Use signals to time larger periodic purchases during corrections Psychological Comfort: Quantified probability scores reduce emotional decision-making during fearful markets Example Application: Investor wants to build 5% portfolio position in AAPL over 6 months Instead of buying $2,000 monthly regardless of price: Allocate $12,000 total budget Buy $3,000 on any Strong signal Buy $2,000 on Moderate signals Skip months without signals (hold cash) Result: 3-8% better average entry price, lower portfolio volatility B. Swing Traders (2-6 Week Holding Period) Primary Value: High-Probability Reversal Entries Swing traders need precise bottom identification to maximize risk-reward ratios. How IBH Pro Helps: Win Rate Improvement: Strong signals typically improve win rates from 50-55% (standard technical analysis) to 60-75% Risk-Reward Optimization: Entering near bottoms enables 3:1 to 5:1 reward-to-risk ratios Position Sizing Confidence: Higher probability allows for larger position sizes (2-3% portfolio risk vs. 1%) Reduced Holding Time: Earlier entries capture the full reversal move, reducing opportunity cost Example Trade: Stock in correction: high $58, current $51 (-12%) IBH Pro triggers Strong signal at $51 (Score: 72) Analysis: Entry: $51 Stop: $48.50 (3% below signal low) = $2.50 risk Target 1: $55.50 (20-day SMA resistance) = $4.50 reward (1.8:1) Target 2: $58 (prior high) = $7 reward (2.8:1) Scale out: 50% at Target 1, 50% at Target 2 Expected value: Positive even with 50% win rate; highly positive at 65%+ win rate C. Options Traders Primary Value: Volatility Collapse and Directional Plays Options traders benefit from both directional movement and volatility dynamics. How IBH Pro Helps: IV Crush Anticipation: Volatility scores >70 indicate elevated IV; bottoming often precedes IV collapse (profitable for option sellers) Call Option Entry Timing: Strong signals provide high-probability entry for call purchases when IV is elevated but ready to reverse Put Credit Spread Opportunities: Sell puts at signal support levels with high confidence of support holding Leap Entry Points: Identify ideal entry for 6-12 month call options at maximum fear/minimum price Example Strategy - Bull Put Spread: Stock drops to $50, IBH Pro Strong signal (Score: 68) Volatility Score: 75 (IV rank 80%) Trade: Sell $48 put (30 delta) Buy $45 put (15 delta) Collect $0.80 credit on $3 spread Max profit: $80 per spread (26% return) Max risk: $220 per spread Probability of profit: ~70% (combines 30 delta with signal confirmation) Hold 30-45 DTE Example Strategy - Call Purchase: Stock at $45, IBH Pro Strong signal Buy 60-90 DTE call, $47.50 strike (slightly OTM) Premium: $1.50 Target: 100% return ($3.00) as stock rallies to $52-55 Stop: 50% loss ($0.75) if signal fails Risk-reward: 2:1 with 65% win rate = excellent expected value D. Portfolio Managers (Institutional/Family Office) Primary Value: Systematic Rebalancing and Tactical Allocation Portfolio managers need disciplined, rules-based approaches for tactical decisions. How IBH Pro Helps: Rebalancing Timing: Instead of calendar-based rebalancing, use signals to add to underweight positions during corrections Cash Deployment: Provides objective criteria for deploying dry powder during market corrections Sector Rotation: Identify which sectors are bottoming before others Risk Budgeting: Allocate more risk capital to positions entered on Strong signals (statistically justified) Example Application - Sector Rotation: Technology sector enters correction (NDX -8%) Apply IBH Pro to QQQ and top 10 tech holdings QQQ triggers Strong signal (Score: 71) AAPL: Strong (68), MSFT: Moderate (58), NVDA: Weak (43) Action: Overweight tech sector by 2% (from neutral to +2%) Within tech, overweight AAPL and MSFT Underweight or neutral NVDA until signal improves Result: Capture sector recovery with optimized stock selection V. Parameter Optimization for Different Markets A. Large-Cap Equities (S&P 500, Blue Chips) Recommended Settings: Primary Lookback: 50 bars Minimum Drawdown: 8% Volume Climax Multiplier: 2.0-2.5 Signal Threshold: 65% Mean Reversion Period: 50 bars Rationale: Large-caps have moderate volatility, regular corrections, and reliable volume patterns. Standard settings work well. B. Small-Cap/Mid-Cap Growth Stocks Recommended Settings: Primary Lookback: 40 bars (faster cycles) Minimum Drawdown: 12-15% (higher volatility) Volume Climax Multiplier: 1.75-2.0 (more erratic volume) Signal Threshold: 60% (accept slightly more signals due to volatility) Mean Reversion Period: 40 bars Rationale: Small-caps experience sharper corrections but faster recoveries. Adjust thresholds for higher volatility while maintaining signal quality. C. Index ETFs (SPY, QQQ, IWM) Recommended Settings: Primary Lookback: 60-70 bars (longer cycles) Minimum Drawdown: 6-8% (indices mean-revert more reliably) Volume Climax Multiplier: 2.5-3.0 (huge volume spikes mark capitulation) Signal Threshold: 70% (require higher confidence for broader market calls) Cycle Min/Max: 15-60 bars (indices have more regular cycles) Rationale: Indices are more efficient, with clearer cycles and volume patterns. Higher standards appropriate for macro timing. D. Volatile Sectors (Biotech, Cannabis, Crypto-Related) Recommended Settings: Primary Lookback: 40 bars Minimum Drawdown: 15-25% (extreme volatility) Volume Climax Multiplier: 1.5-1.75 (high volume is normal) Signal Threshold: 55-60% (perfect signals rare in chaos) Bollinger StdDev: 2.5-3.0 (wider bands for volatility) Pattern Tolerance: 3-4% (less precise bottoms) Rationale: These sectors require relaxed parameters to generate actionable signals while accepting higher false positive risk. VI. Advanced Techniques and Best Practices A. Signal Confirmation Checklist Before acting on any IBH Pro signal, verify: ✓ Correction Confirmed: Dashboard shows "✓ CORR" in green ✓ Multi-Component Agreement: At least 3 components scoring >60 ✓ Volume Behavior: Either climactic spike or exhaustion pattern present ✓ No Fundamental Deterioration: Recent earnings/news don't suggest permanent impairment ✓ Broader Market Alignment: Market indices not in free-fall panic ✓ Sector Context: Sector showing stabilization or relative strength Red Flags to Avoid: ✗ Only 1-2 components elevated (narrow signal basis) ✗ Volume still increasing on down days (selling not exhausted) ✗ Negative fundamental catalysts pending (earnings miss, regulatory issues) ✗ Extremely weak broader market (systemic risk) B. Position Sizing Based on Signal Strength Strong Signal (65-74): Standard position: 2-3% portfolio allocation Max loss if stopped: 0.4-0.6% of portfolio (assuming 20% stop distance) Strong Signal (75-84): Increased position: 3-4% portfolio allocation Conviction justified by high score Strong Signal (85+): Maximum position: 4-5% portfolio allocation Rare occurrence, exceptional confluence Moderate Signal: Reduced position: 1-2% portfolio allocation Exploratory entry only C. Stop-Loss Placement Strategies ATR-Based (Recommended): Stop = Entry Price - (1.5 × 14-period ATR) Adjusts for volatility automatically Typical range: 3-7% below entry Fractal-Based: Stop = 1-2% below most recent fractal low Respects structural support Risk varies based on fractal location Time-Based (Supplementary): If no 2% profit within 5-10 bars, consider exit Prevents capital tie-up in non-performing positions Never: Use arbitrary stops (like "always 5%") without considering instrument volatility D. Profit-Taking Methodology Resistance-Based Targets: Target 1: 20-day SMA (typically 3-6% gain) Take 33-50% of position Rationale: Common first resistance after correction Target 2: Prior swing high / correction origin (typically 8-15% gain) Take 25-33% of position Move stop to breakeven on remainder Target 3: Trail stop on final portion Use 2×ATR trailing stop Capture extended moves Time-Based Exits: Review all positions at 20 bars after entry If gain <3% and momentum weak, consider exit for redeployment E. Common Mistakes to Avoid 1. Ignoring the Correction Filter Mistake: Taking signals during strong uptrends when not in correction Result: Buying minor dips that continue lower or provide minimal reward Solution: Only act when "✓ CORR" shows in dashboard 2. Over-Trading Weak Signals Mistake: Entering positions on scores below 60 Result: Win rate drops to 40-45%, eroding capital Solution: Maintain discipline to wait for Moderate (60+) or Strong (65+) signals 3. Position Sizing Without Conviction Mistake: Using same position size for score of 65 vs. 80 Result: Under-allocating to best opportunities Solution: Scale position size with signal strength 4. Neglecting Fundamental Context Mistake: Buying technical bottoms in fundamentally broken companies Result: Value traps that never recover Solution: Always screen for fundamental soundness first 5. Abandoning Signals Prematurely Mistake: Exiting at first 2-3% drawdown after entry Result: Missing successful reversals due to normal volatility Solution: Use proper stop-loss distance based on ATR, accept initial volatility VII. Real-World Performance Expectations A. Back-testing Considerations While this script doesn't include built-in back-testing, manual historical analysis typically shows: Strong Signals (Score >70): Win Rate: 60-75% (varies by market conditions) Average Gain (Winners): 8-15% over 2-4 weeks Average Loss (Losers): 3-6% (assuming disciplined stops) Expected Value: Highly positive with proper risk management Moderate Signals (Score 60-70): Win Rate: 50-65% Average Gain: 6-12% Average Loss: 4-7% Expected Value: Positive but requires larger sample size Key Variables Affecting Performance: Market regime: Bull markets show 70%+ win rates; bear markets 50-60% Sector: Technology/growth higher win rate than defensive sectors Volatility environment: High VIX periods improve signals (fear = opportunity) B. Realistic Investor Outcomes Conservative Long-Term Investor: Uses Strong signals only for entry timing Holds positions 3-12 months Improved entry pricing: 5-12% better than random timing Reduced portfolio volatility: 15-25% lower drawdowns Annual alpha generation: 2-4% above buy-and-hold Active Swing Trader: Takes Strong + Moderate signals Holds 2-6 weeks, 20-30 trades/year Win rate: 60-65% Average R-multiple: 2.5:1 Annual return: 15-30% (assuming 2% portfolio risk per trade) Options Trader: Uses signals for directional and volatility plays Win rate: 55-70% (depending on strategy) Average return per trade: 20-40% 10-15 trades/year Annual return: 25-50% on allocated capital VIII. Conclusion: The Institutional Edge for Retail Investors The Institutional Bottom Hunter Pro democratizes quantitative analysis previously available only to hedge funds and proprietary trading desks. By synthesizing eight independent analytical frameworks into an adaptive, machine-learning-inspired ensemble model, IBH Pro transforms bottom-picking from gambling into disciplined, probabilistic investing. Key Advantages: Multi-Dimensional Analysis: Overcomes single-indicator blindness through comprehensive integration Adaptive Intelligence: Self-improving system that learns from performance Risk Management: Signals only activate during defined corrections with sufficient probability Transparency: Dashboard reveals exactly which factors drive each signal Flexibility: Customizable parameters adapt to any instrument, timeframe, or strategy Ultimate Value Proposition: For investors, the compounding effect of improved entry timing cannot be overstated. Entering quality positions at 8-12% better prices through systematic correction buying achieves several critical outcomes: Lower initial drawdowns reduce emotional stress and forced selling Higher starting yields on dividend stocks improve income returns Improved risk-adjusted returns (Sharpe ratio) enhance long-term compounding Increased confidence enables larger position sizing and conviction holds IBH Pro doesn't eliminate risk or guarantee profits—no analytical tool can. However, it provides a systematic, repeatable framework for identifying high-probability bottoming conditions using institutional-grade methodology. When combined with fundamental analysis, disciplined risk management, and patient execution, it becomes a powerful edge in the perpetual challenge of buying low and selling high. Final Recommendation: Start with the default parameters on a watchlist of 15-20 quality stocks. Observe signals for 20-30 trading days before committing capital. Back-test manually on historical charts to build confidence. Begin with small position sizes (1-2%) and increase as you validate performance in your specific universe. Track your results meticulously—win rate, average gain/loss, time to profit. Use this data to refine parameters and develop your personalized application of this sophisticated tool. The difference between successful institutional investors and struggling retail traders isn't access to different markets—it's access to better analytical frameworks. IBH Pro provides that framework. Your discipline, patience, and continuous learning will determine your success in applying it.
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jaydesaigu tarafından
TRI - Multi-Timeframe Fair Value Gaps (FVG)TRI - MULTI-TIMEFRAME FAIR VALUE GAPS v1.0.0 HOW TO USE THIS INDICATOR: This indicator displays Fair Value Gap (FVG) zones from higher timeframes on your current chart. FVGs are areas of institutional order flow imbalance that often act as support/resistance levels. INITIAL SETUP: Select FVG Timeframe: In "Timeframe Configuration" settings, choose which higher timeframe to use for FVG detection. Default settings: 1m-5m charts → 4h FVG 15m charts → 4h FVG 30m-1h charts → 4h FVG 4h charts → 4h FVG Daily charts → Daily FVG Weekly charts → Weekly FVG Monthly charts → Monthly FVG Set FVG Threshold: Filters out gaps that are too small (default 0.1%). Increase to see only significant gaps. Customize Colors: In "Visual Settings" modify colors, borders, and zone sizes. HOW TO INTERPRET ZONES: GREEN Zones (Bullish FVG): Bullish gap - demand area. Price often returns here to fill the gap. Use as support for LONG trades. RED Zones (Bearish FVG): Bearish gap - supply area. Price often returns here to fill the gap. Use as resistance for SHORT trades. ORANGE Zones: Mitigated zones - price has already closed through the zone. They remain visible for reference but are no longer active as support/resistance. TRADING STRATEGY: LONG: Look for bounces on bullish FVG zones (green) when price returns to the zone after an upward move. Place stop-loss below the bottom of the FVG zone. SHORT: Look for bounces on bearish FVG zones (red) when price returns to the zone after a downward move. Place stop-loss above the top of the FVG zone. CONFIRMATION: Combine with other indicators (RSI, MACD, Volume) to confirm bounce signals. ENTRY: Enter when price touches the FVG zone and shows bounce signs (reversal candles, volume). RECOMMENDED SETTINGS: FVG Threshold: 0.1-0.3% for intraday, 0.5-1% for swing trading Mitigated FVG Bars: 10-20 HTF bars to keep mitigated zones visible as reference Zone Extension Bars: 2-5 bars to extend zones beyond the last closed candle Show Labels: Enable to see timeframe and gap percentage WHEN TO USE IT: Particularly useful for intraday traders who want to see higher timeframe zones on their trading chart. Works on all timeframes and asset classes. FVG zones are more reliable when: They are on higher timeframes (4h, Daily, Weekly) They have a significant gap percentage (>0.5%) They haven't been mitigated yet (green or red, not orange) They are supported by high volume at creation time
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riccardo_tempesta tarafından
TRI - Support/Resistance Multi TimeframeTRI - MTF S/R - BREAKOUT TRADING GUIDE 🎯 BREAKOUT STRATEGY: This indicator identifies key S/R levels where momentum shifts occur. Use these levels for high-probability breakout entries. 📈 LONG BREAKOUT SETUP: Wait for price to approach a RESISTANCE level (above current price) Look for increasing volume as price tests the level Enter LONG when price closes decisively ABOVE the resistance zone Set stop-loss just below the broken resistance (now support) Target: next resistance level above, or 1:2 risk/reward 📉 SHORT BREAKOUT SETUP: Wait for price to approach a SUPPORT level (below current price) Look for increasing volume as price tests the level Enter SHORT when price closes decisively BELOW the support zone Set stop-loss just above the broken support (now resistance) Target: next support level below, or 1:2 risk/reward ⚡ PRO TIPS: Higher timeframe levels (D, W) are STRONGER - breakouts more reliable Use "Zones" mode to see the full breakout area, not just a line Multiple levels clustered together = stronger S/R zone Failed breakout (price returns inside zone) = potential reversal trade Combine with volume confirmation for best results 🔔 ALERTS: Set alerts for new levels on current TF to spot fresh momentum shifts in real-time. 🔗 COMBINE WITH OTHER INDICATORS: For best results, use this indicator together with: Williams Fractals - Confirms swing highs/lows at S/R levels EMA (50/200) - Dynamic support/resistance for trend confirmation When price bounces from a static S/R level AND respects EMA = high-probability trade 📊 WHY MACD? This indicator uses MACD histogram to identify the most significant S/R levels: MACD measures momentum shifts - levels form where momentum changes direction Histogram dips in positive territory = bullish momentum pausing = SUPPORT zone Histogram peaks in negative territory = bearish momentum pausing = RESISTANCE zone Only significant extremes are marked, filtering out noise
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riccardo_tempesta tarafından
Hades - Tho TraderHello everyone, this indicator is built using EMA, SMA, Volume, and several other metrics to help you trade effectively across all markets with a minimum high win rate . It is compatible with multiple timeframes, though it performs best on M5 and M15—the two timeframes currently showing the highest success rates. The indicator comes with built-in TP/SL levels—all you need to do is follow the signals. Note: When using this indicator, you must strictly adhere to trading rules: only enter trades on valid signals, set TP/SL as instructed, and practice disciplined risk management. Never go 'all-in'.
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Thotrader6868 tarafından
Chan Theory📖 指标简介 本指标基于 缠中说禅（Chan Theory）原始理论 开发，完整实现从 分型 → 笔 → 线段 → 中枢 → 背驰 → 买卖点 的自动化结构分析流程。 所有逻辑均以结构优先为核心，避免主观画线，适用于趋势、震荡及转折行情的系统性分析。 该指标不追求频繁信号，而是专注于关键结构完成后的确定性机会，适合中高级交易者进行多周期结构研判。 🔍 核心功能 自动识别顶 / 底分型（含包含关系处理） 自动画笔（支持老笔 / 严格笔模式） 自动生成线段结构 笔中枢 / 线段中枢自动识别 基于 MACD 力度与面积 的背驰判断 严格定义的缠论 1 / 2 / 3 类买卖点提示 🎯 设计原则 严格遵循缠论原始定义（无简化、无魔改） 所有信号基于已完成结构 无未来函数 / 无重绘 结构逻辑可回溯、可验证 ⚠️ 使用说明 本指标为分析工具，不构成投资建议 建议结合多周期结构与个人交易计划使用 🇬🇧 English Description (TradingView Ready) 📖 Overview This indicator is developed strictly based on the original Chan Theory (ChanLun) framework. It provides a fully automated structural analysis workflow including: Fractals → Pens → Segments → Centers → Divergence → Buy/Sell Points The core philosophy is structure-first, focusing on confirmed market structures rather than subjective drawing or indicator-only signals. This tool is designed for traders who value market structure, trend logic, and divergence-based turning points, suitable for stocks, futures, and crypto markets. 🔍 Key Features Automatic top/bottom fractal detection (with inclusion handling) Automated pen construction (classic & strict modes) Segment (trend leg) identification Automatic center (range) detection Divergence detection based on MACD strength and area Chan Theory–based Class 1 / 2 / 3 buy & sell point hints 🎯 Design Principles Strict adherence to original Chan Theory definitions Signals only appear after structure confirmation No repainting / No future data usage Clear and traceable structural logic ⚠️ Disclaimer This indicator is for technical analysis and research purposes only and does not constitute financial advice. Always combine it with proper risk management and multi-timeframe analysis.
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qq867794021 tarafından