Market Participation Gradient [Interakktive]Market Participation Gradient (MPG) is a diagnostic oscillator that measures the quality and intensity of market participation by combining price efficiency with activity (volume or a FX-safe proxy) into a single 0–100 score.
Most tools tell you "how much activity exists." MPG focuses on "how effective that activity is," helping you differentiate clean directional participation from absorbed / inefficient participation where effort produces limited directional progress.
█ WHAT IT DOES
- Produces a 0–100 participation score (higher = stronger participation environment)
- Uses color as state context (not buy/sell)
- Classifies participation into four tiers for quick readability
- Includes an optional status-line HUD for at-a-glance context without chart clutter
█ WHAT IT DOES NOT DO
- NO buy/sell signals
- NO entries/exits
- NO alerts by default
- NO repainting / no lookahead (diagnostic context only)
█ HOW TO READ MPG
Level (0–100)
- Higher values = stronger participation environment
- Lower values = thin, drifting participation environment
Color (state language, not direction)
- Teal = Clean participation (efficient movement)
- Magenta = Absorbed participation (high activity, low efficiency)
- Amber = Building / transition state
- Grey = Thin / neutral state
█ TIER SYSTEM
MPG uses four tiers:
- THIN (0–20): low participation environment
- BUILDING (20–40): participation emerging / transitional
- STRONG (40–65): solid participation environment (quality becomes more meaningful)
- EXTREME (65+): very high participation environment (contextually important during events or late-cycle pushes)
█ QUALITY ASSESSMENT (STRONG / EXTREME)
Within STRONG and EXTREME tiers, MPG evaluates participation quality:
- Clean (Teal): Efficiency > 55%
- Absorbed (Magenta): Efficiency < 30% AND Activity > 1.5×
- Neutral (Grey): otherwise (mixed quality)
█ STATUS LINE HUD
MPG can display key values in TradingView's status line:
- Minimal: MPG (0–100) + Tier (0–3)
- Full: adds Direction (-1/0/1) and Quality (-1/0/1)
This provides quick context without tables or on-chart panels.
█ HOW IT WORKS (METHODOLOGY)
MPG combines two independent measurements:
1. Efficiency (0–1)
Efficiency = |Net Displacement| / Total Path Length
- High efficiency = price moved more directly
- Low efficiency = price moved less directly (more back-and-forth)
2. Activity (centered at 1.0)
Activity = Current Volume / Average Volume
- Activity > 1 = above-average activity
- Activity < 1 = below-average activity
FX / indices fallback: If volume is unreliable/unavailable, MPG uses a range-based proxy: (High–Low) / ATR (capped) to prevent distortion.
3. Participation Score (0–100)
Participation = Efficiency × √Activity × 100
The square root applies diminishing returns so activity alone cannot dominate without efficiency support.
█ SETTINGS
Core
- ATR Length — normalization baseline
- Efficiency Lookback — bars used for efficiency
- Volume Average Length — baseline for activity
- Smoothing Length — EMA smoothing (1 = minimal smoothing)
Visuals
- Histogram / Line / Tier Bands toggles
- Optional pane background tint (default OFF)
- Theme: Cinematic (subtle) or Vivid (brighter)
HUD
- Status Line HUD toggle
- HUD Detail: Minimal or Full
█ SUITABLE MARKETS
Works on any market with price data. For symbols with unreliable volume (common in FX), MPG automatically uses the range/ATR activity proxy.
█ RELATED (INTERAKKTIVE)
- MER — Market Efficiency Ratio (pure efficiency)
- ERD — Effort–Result Divergence (effort vs outcome)
- VSI — Volatility State Index (expansion/contraction context)
█ DISCLAIMER
This indicator is for educational and informational purposes only and does not constitute financial advice. Always do your own research and use appropriate risk management.
การวิเคราะห์แนวโน้ม
Adaptive Swing StructureOverview :
Adaptive Swing Structure identifies and labels swing structure using HH / HL / LH / LL and can optionally draw wave connectors between successive swing points.
The goal is to provide a clean, practical view of market structure that remains readable across different market conditions.
Instead of relying only on a classic fixed-window pivot scan (left/right bars), this indicator uses an adaptive swing-detection approach designed to better match how traders visually interpret legs and structure.
Why this approach (vs. a simple pivot scan)?
Classic pivot scans (e.g., “pivot high/low with left/right bars”) are simple and widely used, but they often have practical limitations:
They depend heavily on a fixed window size (too sensitive in chop, too slow in trends)
They can mark pivots that are locally valid but not always representative of the broader leg
They may produce frequent structure changes during ranges, reducing readability
What you get with this indicator
A more stable swing structure view that adapts to price movement
Cleaner HH / HL / LH / LL labeling for context and decision-making
Optional wave connectors to visually follow the swing path
Visual comparison:
The screenshots below illustrate the difference in how structure can appear when using a classic pivot scan versus Adaptive Swing Structure.
Classic Pivot Points (High / Low):
Adaptive Swing Structure (This Indicator):
How to read the labels
This indicator labels swing structure using the standard notation:
HH = Higher High
HL = Higher Low
LH = Lower High
LL = Lower Low
How to interpret Wave Lines
When enabled, wave lines connect successive swing points to help you visually track the current swing path and structural transitions.
Inputs guide
Tracer Line Len
Main sensitivity control. Adjust this to fit the instrument and timeframe.
Higher values → fewer swing points, smoother structure (macro view)
Lower values → more swing points, more detail (micro view)
Show Wick (High / Low) Line
Shows the wick-based tracer (visual reference).
More sensitive to extremes and wick behavior
Useful when wicks matter (liquidity spikes / stop-runs)
Show Body (Open / Close) Line
Shows the body-based tracer (visual reference).
Filters wick noise and often looks smoother
Useful when you prefer structure based on candle bodies
Show Slope Flip Labels
Shows small markers that highlight swing turning moments (study/verification).
Helpful for understanding where structure updates
Optional and can be disabled for a cleaner chart
Wave Labels (WICK)
Shows HH/HL/LH/LL labels using wick-based swings.
More responsive to wick extremes
Wave Lines (WICK)
Connects wick-based swing points with wave lines.
Improves visual continuity of swings
Wave Labels (BODY)
Shows HH/HL/LH/LL labels using body-based swings.
Typically smoother and less sensitive to wick spikes
Wave Lines (BODY)
Connects body-based swing points with wave lines.
Cleaner wave path for body-based structure
Max Wave Labels Kept (per Wick / Body)
Limits the number of labels kept on the chart (older ones are removed first).
Reduces clutter
Helps maintain performance
Max Wave Lines Kept (per Wick / Body)
Limits the number of wave lines kept on the chart (older ones are removed first).
Keeps the chart readable
Helps maintain performance
History Window (map size / scan clamp)
Performance / stability control for how much recent history is considered.
Higher values → more history considered, higher CPU usage
Lower values → lighter execution, structure limited to more recent swings
Usage / Tuning
1) Find “your number” for each market
There is no universal best setting. The optimal Tracer Line Len depends on:
Instrument volatility
Your trading timeframe
Whether you want micro structure or macro structure
2) Build a simple baseline
Choose your chart timeframe (e.g., 4H).
Start with a moderate Len (e.g., 10–30).
Increase or decrease Len until the swing structure matches how you would manually map it.
3) Practical “timeframe scaling” intuition
You can use Len to “zoom out” or “zoom in” structure without changing your chart timeframe.
Example on 4H :
If Len = 20 produces the swing structure you want for 4H decisions, keep it as your baseline.
If you increase it to something like Len = 120 , the structure becomes much smoother and swing points appear less frequently.
This means:
4H with a smaller Len → focuses on 4H-level swings (more detail).
4H with a much larger Len → filters many local swings and highlights broader legs (more “higher-timeframe-like” context).
This is not a strict mathematical replacement for switching timeframes, but it is a practical and effective way to compress or expand structure density on the same chart.
4) Wick vs Body (which one to choose?)
WICK : Choose when extreme wicks matter to your reading of structure.
BODY : Choose when you want smoother structure and less sensitivity to wick spikes.
5) Suggested workflow for active traders
Use one preset for local structure (entries / short-term decisions).
Use a second preset with a larger Len for higher-level context (major swings / directional bias).
Elite Scalper ProElite Scalper Pro
A scalping multi-tool built for traders who want clarity + control —not blind signals.
This is a regime-aware framework that helps you filter low-quality conditions , execute with structured exits , and audit performance from a live panel.
What it is (in one line)
Regime filters + structured execution + a live control panel — so you can trade with a repeatable process.
What makes it different
Most “signal indicators” only tell you when . Elite Scalper Pro is designed to also tell you whether conditions make sense — and it gives you the controls to tune per symbol without turning the system into chaos.
Regime-aware filtering : optional gates (EMA / MACD / RSI / CHOP) + volatility controls to reduce “noise trades”.
Structured execution : ATR-based TP1 / TP2 / SL with optional management layers.
Protective Exit (PE) : optional early-defense layer to cut damage when a setup fails fast.
HeatShield : optional volatility-spike filter to avoid entering during “too hot” conditions.
A-Low Filters (Long / Short) : optional quality blocks to avoid weak setups per direction.
State Panel : live status + targets + context + performance audit so you tune with evidence, not guesswork.
Chart behavior
Designed to stay clean: no indicator clutter. (EMA is available; everything else is handled internally.)
Markets
Built for multi-market trading: FX, metals (XAUUSD), indices, crypto, CFDs .
Reality check: symbols behave differently (volatility, sessions, noise). Defaults are a strong starting point — not a universal “best setup”.
The State Panel (your control tower)
Signal status : FLAT / PENDING / ACTIVE so you always know the current stage.
Live trade map : Entry / SL / TP1 / TP2 (reflects management updates).
Regime context : volatility + filter status so you understand why it’s trading (or not).
Performance audit : win rate / PF / net / MAE-MFE style metrics to evaluate behavior over your available history.
Protective Exit (PE)
PE is optional. Concept: when a trade moves your way then quickly invalidates, PE can act as a controlled cut to reduce damage before the full SL hits.
PE does not replace SL — it’s a risk-shaping layer you can enable/disable and tune.
Targets & trade structure
TP1 / TP2 staged exits (or single target): scale out or hold for TP2.
Sizing control : choose how much closes at TP1 vs TP2.
ATR-based risk : stops and targets scale with volatility rather than fixed points.
Optional management : CL after TP1 (breakeven-style behavior) depending on your style.
DEEP DIVE — How to use Elite Scalper Pro properly
1) Pick ONE symbol first
Start with the market you actually trade. Liquidity + spread + session quality matter more than “perfect settings”.
2) Start with defaults, then tune like a professional
Change one thing at a time, then re-check the panel metrics and trade behavior. Keep what improves stability , not just what looks best on a short window.
3) Choose your tuning goal
Higher win rate → usually fewer trades, stricter filters, sometimes smaller TP.
Higher average R → usually wider TP2/SL, more patience required.
Balanced → smoother month-to-month behavior, moderate trade count.
4) Don’t over-optimize
Prefer settings that behave “reasonably” across different regimes.
Watch trade count — if trades collapse, your “edge” may be an illusion.
Don’t stack every gate just because you can. Many symbols respond best to one or two gates.
Gates explained (what each one does)
A-Low Long / A-Low Short
Optional safety filters to block weak setups per direction (useful on symbols that fake out often). Disable if they remove too many valid trades.
EMA Gate (trend alignment)
Fast EMA vs Slow EMA bias filter. Faster = more trades/more noise. Slower = fewer trades/smoother.
MACD Gate (momentum confirmation)
Confirms momentum direction. Buffer makes it more selective (reduces micro-flips).
RSI Gate (two styles)
Midline mode : uses the 50 line to align with general direction.
Directional mode : blocks chasing (don’t long when RSI is already “too high”, don’t short when RSI is already “too low”).
CHOP Gate (market structure filter)
Separates trend conditions from chop. Stronger modes = cleaner entries, fewer trades.
Volatility Gate (regime selection)
Allows/block trades in LOW / MID / HIGH / EXTREME volatility regimes. Useful when a symbol performs best in specific volatility “zones”.
HeatShield (volatility spike protection)
Optional filter that blocks entries during sudden “too hot” volatility spikes to reduce whipsaw risk. Enable only if it improves stability on your symbol.
Time Control (session logic)
Optional entry blocking during specific time windows (spread, opens, news-like chop). Use only if your symbol consistently misbehaves at certain times.
Alerts (manual + automation-ready)
Manual : receive clean entry/management notifications to review and execute.
Automation pipelines : alerts can be routed into webhook workflows (TradingView alert infrastructure). Keep automation risk controls external and conservative.
Not financial advice. Educational only. Trading involves risk. No settings or historical results guarantee future performance. Test in replay/paper first and use strict risk management.
FETTAH FX GROUP FB SIGNALThis indicator is designed for scalping gold (XAUUSD), currencies, and indices, and is based on the FB system.
How it works:
- Buy and sell signals for bank contracts
- Trend filtering using leading timeframes
- Additional confirmation from the 3-minute timeframe to increase signal accuracy
- Reduction of false signals during consolidation and sideways trading zones
Indicator features:
- Clear buy and sell signals
- Suitable for scalping and quick trading
- Reduces counter-trend entry
- Works on all timeframes, especially 3M, 5M, 15M, 30M, 1H, and 4H
Caution: This indicator is a tool and not financial advice. It is recommended to use it with strict money management.
KVS-Pro Kripto: MTF POC & Delta MasterA professional MTF indicator combining Volume and Trend analysis into a single dashboard. Monitor Dynamic POC, VAH/VAL levels, Delta Pressure (Buyers vs. Sellers), and Price Divergences across 4 customizable timeframes simultaneously.
Why use this?
The Big Picture: Track trend and volume data for 4 timeframes at once.
Delta Intelligence: Instantly see if Buyers or Sellers are in control.
No Repainting: "Fixed Mode" ensures historical data remains rock-solid for reliable analysis.
Divergence Hunter: Automatically detects discrepancies between Price and Delta.
Ideal for traders looking to align higher timeframe trends with lower timeframe entries.
V-Max L3: Battle Director (Resonance & Execution Engine)🛡️ 【V-Max】L3 Battle Director: Ultimate Multi-Timeframe Resonance Engine
Overview V-Max L3 Battle Director is the pinnacle of the V-Max strategic suite. It serves as an institutional-grade "Commander Dashboard" that synchronizes market dynamics across 6 timeframes while integrating a sophisticated volatility-burst detection system known as the A++ Diamond Signal.
Technical Methodology & Originality L3 transcends standard indicators by utilizing a multi-layered decision-making architecture:
Macro-to-Micro Resonance Matrix: The engine continuously scans Weekly, Daily, 4H, 1H, 15m, and 3m timeframes. It calculates a "Final Power" score (final_p) by weighting these cycles (Weekly/Daily for bias, 4H/1H for execution) to ensure every signal is backed by macro-micro alignment.
A++ Diamond Execution Logic: This proprietary signal is only triggered when three physical conditions converge: Volume Spike (>50% of 480-bar high), Volatility Burst (ATR > 1.3x SMA), and Momentum Confirmation (MACD divergence alignment).
Physical RSI Reset & Cooling System: To prevent over-trading in choppy markets, L3 features a "Tactical Reset" logic. After a signal fires, the system enters a "Cooling" state and only re-arms once the RSI crosses back through the neutral 50-line (±cool_th), ensuring each trade starts from a fresh momentum cycle.
Integrated "5-Line Score" Calculator: The script renders a real-time risk management overlay on the chart, projecting Entry, SL (Stop Loss), TP1 (Reduction), and Final TP levels based on either Fibonacci Ratios or Fixed Risk:Reward (RR).
How to Use
Resonance Score: Focus on signals when the dashboard score exceeds ±70%.
A++ Signals: These represent high-conviction institutional flow entries.
Dashboard Matrix: Use the sidebar to monitor the directional health of all 6 timeframes simultaneously.
產品概述 V-Max L3 戰域總監是 V-Max 策略套件的最高指揮官版本。它是一個整合 6 個時區同步動能、鑽石級爆量篩選系統 (A++ Signal) 與實時風控五線譜計算機的「交易指揮中心」。
技術邏輯與功能
多維權重共振矩陣：系統同步監測從週線到 3 分鐘線的 6 個時區。透過計算「綜合決策分 (final_p)」，確保每一個發射信號都具備宏觀與微觀的共振基礎。
A++ 鑽石級訊號：專為獵殺機構行情設計。只有當成交量突破（480 根 K 線新高 50% 以上）、波動率爆發 (ATR 爆發) 與動能確認三者同時滿足時，才會標註 💎A++ 標籤。
物理冷卻重置機制：內建 RSI 觸控重置邏輯。信號發射後即進入冷卻，直到市場回歸中性區間 (RSI 50 附近) 才會重新裝彈，有效避開動能耗盡後的震盪陷阱。
內建五線譜風控引擎：在圖表右側實時投影進場、止損、減倉與止盈參考線，並自動根據您的帳戶總額計算建議下單數量。
This is an Invite-only indicator for Elite V-Max members. To request authorization, please contact: 👉 Telegram: @VMax_Helper_bot
Disclaimer: This script is for advanced technical analysis only. Trading cryptocurrency involves significant risk.
V-Max L2A: Momentum Radar (MTF Resonance Engine)🛡️ 【V-Max】L2A Momentum Radar: MTF Resonance & Weighting Engine
Overview V-Max L2A Momentum Radar is a high-precision momentum oscillator that synchronizes market inertia across six distinct timeframes. Unlike standard oscillators, L2A employs a proprietary MTF Resonance Weighting Engine to filter out micro-noise and align execution with institutional flow.
Technical Methodology & Originality The core value of this invite-only script lies in its sophisticated logic:
Proprietary MTF Scoring Engine: The script calculates a real-time "Resonance Score" (w_score) by assigning specific weights to momentum data (EMA 200 & RSI 14) from 6 timeframes:
Weekly (W): 2.0 weight (The Trend Anchor)
Daily (D): 1.5 weight
H4 & H1: 1.0 weight each
M15: 0.5 weight
M3 (Local): 0.3 weight Signals are only prioritized when these timeframes reach high-confluence resonance.
Intelligent Auto-Filter: To ensure signal quality, the MACD histogram is automatically calibrated against a 100-bar peak intensity and a 20-period volume SMA. This prevents "fakeouts" during low-liquidity periods.
7-State Tactical Status Machine: The UI displays a real-time market bias (e.g., "Full Long," "Prohibit Short," "Structural Adjustment") based on the internal w_score and RSI thresholds.
Divergence & Volume Detection: Features an automated divergence detection system (△/▽) combined with relative volume monitoring (>1.5x) to identify momentum exhaustion and potential reversals.
How to Use
Confluence Entry: Look for "Full Long/Short" status when the MACD completes a volume-confirmed crossover.
Alerts: Use the integrated system for real-time notifications on MTF resonance shifts.
產品概述 V-Max L2A 動能雷達是一款高精度的動能分析套件，旨在同步六個不同時間週期的市場慣性。L2A 採用獨家的「MTF 共振加權引擎」，有效過濾微觀雜訊，確保執行方向與機構資金流向一致。
技術邏輯與原創性
原創 MTF 評分引擎： 腳本透過為 6 個時區的動能數據分配不同權重來計算實時「共振分數 (w_score)」：
週線 (W)：2.0 權重（趨勢定錨）
日線 (D)：1.5 權重
H4 與 H1：1.0 權重
M15 與 M3：微觀修正權重
智能自動濾波：MACD 柱狀體會根據 100 根 K 線的峰值強度與成交量均線自動校準，避免在低流動性環境下產生虛假訊號。
七階戰術狀態機：根據內部 w_score 實時顯示市場偏好（如：全力做多、禁止做空、結構調整），為交易者提供明確的執行依據。
This is an Invite-only indicator for V-Max members. To request access: 👉 Telegram: @VMax_Helper_bot
Disclaimer: For technical analysis purposes only. Trading involves risk.
V-Max: Tactical Opening Range & Session Monitor🛡️ 【V-Max】Tactical Opening Range & Session Monitor
Overview The V-Max Tactical Session Monitor is a high-precision utility designed to capture and project the critical opening range of any market session (e.g., US Market Open). By defining the high, low, and equilibrium (mid) points of the initial volatility, traders can establish a tactical framework for the remainder of the trading day.
Technical Methodology & Logic This script employs a robust cross-day physical coordinate engine:
Opening Range Capture: Dynamically calculates the high, low, and midpoint (50% level) during a user-defined interval (e.g., the first 15 minutes of the US open).
Physical Coordinate Locking: Utilizes the box.new and line.new objects to render a visual "Tactical Box." The right boundary of the box is extended in real-time until the specified session_stop time, ensuring the range remains relevant throughout the session.
Precision Engine: Features a dedicated precision handler that automatically adjusts the price label formatting based on syminfo.mintick (detecting whether an asset requires 2 or 5 decimal places) to ensure visual clarity across all asset classes.
Day-of-Week Validation: Includes logic to exclude weekends, focusing strictly on active market weekdays for data integrity.
How to Use
Time Settings: Input the start and end of the opening range you wish to capture (Defaulted to GMT+8 for US Open).
Session Stop: Define the time when the projection should cease extending.
Execution: Use the High/Low levels as breakout boundaries and the Mid-line as a pivot for trend strength.
產品概述 V-Max 時效監控 Pro 是一款高精度的開盤區間捕捉工具。透過定義開盤初期（如美股開盤前 15 分鐘）的高點、低點與中軸平衡點，為交易者建立全天的戰術框架。
技術邏輯與功能 本腳本採用穩定的物理座標引擎：
開盤區間捕捉：在自定義的時間區間內，自動鎖定最高價、最低價與 50% 中軸價位。
物理座標鎖定：利用 box.new（區間盒）與 line.new（趨勢線）物件進行視覺化呈現。區間將實時延伸至設定的停止時間，確保戰術參考線在整個交易時段內有效。
精度處理引擎：自動根據標的物（如美股或加密貨幣）的最小跳動單位調整標籤顯示，確保價格資訊的清晰度。
跨日物理判定：內建工作日過濾邏輯，確保僅在市場交易日內啟動捕捉。
This is a free tactical utility from the V-Max strategic suite.
Premium Indicators: For L1-L3 professional trend navigation and momentum systems, please contact our authorized assistant: @VMax_Helper_bot.
Disclaimer: For technical analysis purposes only. Past performance does not guarantee future results.
Liquidity Guard v4.0 This script is designed for Market Makers (MM), Grid Traders, and Mean Reversion strategists. Its primary purpose is not to tell you when to enter a trade, but when to stop trading and withdraw liquidity to avoid "catching falling knives" or "selling too early" during extreme unilateral movements.
Unlike traditional indicators that require constant parameter tuning for different assets (e.g., BTC vs. PEPE), this script features a Normalized Z-Score Algorithm, making it adaptive to any asset class, price scale, or time frame without manual adjustment.
这是一个专为 做市商 (Market Makers)、网格交易者 (Grid Traders) 和 马丁策略 (Martingale) 设计的风控系统。它的核心目的不是告诉你“何时买入”，而是告诉你 “何时停止交易” 并撤回挂单，以防止在极端的单边行情中“接飞刀”或“卖飞”。
本指标最大的亮点是采用了 归一化 Z-Score (标准化分数) 算法。这意味着您不需要针对 BTC、ETH 或小币种分别调整参数，一套参数即可自适应所有币种和时间周期。
V-Max L1: Strategic Horizon & Trend Navigator Overview V-Max L1 is a strategic trend-following indicator designed to filter market noise and identify macro inertia. It combines multiple classical technical theories into a unified visual system to help traders maintain direction in volatile markets.
Technical Logic & Calculations This script integrates several key components to justify its invite-only status:
Trend Filter: Uses a 200/233 EMA (Vegas Tunnel) as the core trend boundary.
Momentum Integration: Uses a multi-length RSI algorithm to detect overbought/oversold conditions (Yellow/Pink signals).
Volume Analysis: Monitors relative volume spikes (>1.5x average) to identify institutional "Ignition Candles."
Signal Smoothing: Employs MTF (Multi-Timeframe) confirmation logic to reduce signal flickering on lower timeframes.
How to Use
Background Color: Indicates the macro trend (Gray for Bullish, Dark Red for Bearish).
Launch Signals: "Long/Short" labels appear when 10/30 MA crossovers occur under specific RSI conditions.
Top/Bottom Signals: Based on long-cycle RSI extremes for strategic reversals.
產品概述 V-Max L1 戰略地圖是一款趨勢跟蹤指標，旨在過濾市場雜訊並識別宏觀慣性。它將多種經典技術理論整合到統一的視覺系統中，幫助交易者在波動市場中保持方向。
技術邏輯與計算 本腳本整合了以下核心組件：
趨勢過濾：使用 200/233 EMA (維加斯通道) 作為核心趨勢分水嶺。
動能整合：使用多長度 RSI 算法檢測超買/超賣狀況（黃燈/粉燈）。
量價分析：監測超過 1.5 倍的異常成交量，標註機構級「點火 K 線」。
訊號平滑：採用多時區確認邏輯，減少低時區的訊號閃爍。
如何使用
背景顏色：顯示宏觀趨勢（灰色代表多頭，暗紅色代表空頭）。
發射訊號：當 10/30 MA 在特定 RSI 條件下完成交叉時顯示。
This is an invite-only indicator. For access and authorization, please contact: 👉 Telegram: @VMax_Helper_bot
Disclaimer: This script is for technical analysis only and does not constitute financial advice.
Commodity Pulse Matrix v3 [WavesUnchained]Overview
Multi-Timeframe Confluence Indicator for Commodities. Combines 6 scoring categories across multiple timeframes with advanced entry timing and risk management.
Key Features
6-Category Scoring System
• Flow: Money flow and volume pressure
• Momentum: RSI, CCI, Rate of Change
• Trend: ADX, EMA alignment, directional movement
• Volatility: ATR-based market conditions
• Structure: Price position relative to key MAs
• Divergence: Price/indicator divergence detection
Multi-Timeframe Analysis
• Automatic TF hierarchy based on chart timeframe
• Entry/Bias/Trend from different timeframes
• Consensus scoring across all active TFs
• HTF confirmation mode (non-repainting)
Entry Engine
• Breakout entries with momentum confirmation
• Pullback entries at support/resistance
• Continuation entries in trending markets
• Counter-trend filter (optional)
• Signal density: Few / Moderate / Many
Diamond Zones
• Pivot-based support/resistance detection
• ATR-padded zone boundaries
• Zone strength scoring
• Visual boxes on chart
Signal Quality Gate
• ATR filter: No trend signals in ranging markets
• Volume filter: No entries on low volume
• Mean-reversion allowed in range markets
Heat Score System
• Setup quality assessment (0-1 scale)
• MTF alignment component
• Signal strength component
• Confluence component
Exhaustion Detection
• RSI extreme zones
• Large range candles (ATR expansion)
• High volume spikes
• Rejection wicks
• Small body candles
Mean Reversion System
• WaveTrend-based signals
• Dynamic overbought/oversold zones
• JMA smoothing for reduced lag
• Signal cooldown management
Risk Management
• ATR-based stop-loss calculation
• Multi-target take-profit levels
• Regime-aware position sizing
• Risk quality grading
Visualization
Matrix Table
• 6 category scores per timeframe
• Total score with color coding
• Setup status and confluence
• Heat score and confidence level
• TF action recommendations
Chart Elements
• JMA gradient fill (trend visualization)
• Diamond zone boxes (S/R levels)
• Signal shapes (triangles)
• Volatility stop lines
• HTF midline
• Pivot labels (S/R markers)
Configuration
Timeframes
• Confirmed HTF bars only (prevents repainting)
• Chart TF priority weight
Entry Engine
• Enable/disable entry types (Breakout/Pullback/Continuation)
• Allow counter-trend entries
• Trend JMA settings
• Volatility stop multiplier
Signal Boost
• RSI extreme boost
• WaveTrend extreme boost
• Strength threshold
Take-Profit
• Modes: Simple / Smart / Conservative / Multi-Target
• ATR multipliers for each level
• Regime-adjusted targets
Visualization
• Matrix table position and mode
• JMA lines and gradient
• Diamond zone boxes
• Pivot labels
• Signal age display
• Bottom area indicator
Mean Reversion
• WaveTrend smoothing lengths
• Zone lookback and multiplier
• Signal cooldown
• Show zones/labels/exits
TradingView Alerts
• Entry Long/Short signals
• Strong/Moderate signal differentiation
• Webhook compatible
Recommended Usage
1. Select chart timeframe (15M-Daily recommended)
2. Watch matrix table for MTF confluence
3. Wait for signal shapes on chart
4. Confirm with Heat Score (>0.5 = quality setup)
5. Check Diamond Zones for S/R context
6. Use ATR-based SL/TP from risk management
Input Groups
• Timeframes: HTF confirmation, chart weight
• Entry Engine: Entry types, density, JMA settings
• Signal Boost: RSI/WT boost settings
• Signal Quality: ATR/Volume thresholds
• Technical: ATR length, SL multiplier
• Take-Profit: Mode, ATR multiples, regime adjustment
• Visualization: Matrix, JMA, zones, labels
• HTF Midline: Mode, resolution, color
• Mean Reversion: WaveTrend settings, zones
• Colors: Bull/bear color scheme
---
Educational purposes only. Not financial advice. Test thoroughly before live trading.
3 Months Buying ForceReturn from 3-Month Low (%) measures current price recovery from the lowest low over the past ~66 trading days (3 months on daily charts). Color-coded: Red (<20% - weak buying), Orange (20-30% - moderate), Green (>30% - strong buying force). Ideal for identifying long-term accumulation and swing trade setups in Pine Screener.
RAHU1System Overview
This is a comprehensive "Confluence-Only" execution tool designed for intraday trend following. It removes the clutter of traditional charts by hiding all calculation lines and only displaying high-probability execution labels and objective exit targets.
The Four Execution Pillars
The system logic is built on four distinct "Smart-Entry" models:
Velocity Alignment: Triggers when price momentum synchronizes with a multi-period average, ensuring you enter as the move accelerates.
Structural Expansion: Detects when price aggressively breaks through short-term and medium-term trend baselines with a high-expansion candle.
The Reversion Bounce: Identifies "buy-the-dip" or "sell-the-rally" opportunities where price tests a trend line and shows a strong rejection.
Two-Stage Confirmation: A specialized logic that requires momentum to clear two separate "strength gates" before a signal is printed.
The "Anti-Trap" Filter Logic
To prevent entries during sideways or "fake" market moves, every signal must pass a Triple-Check Validation:
Volume Breakthrough: The signal candle must show higher-than-average participation.
Relative Value Filter: The system tracks the volume-weighted mean of the day; it strictly forbids buying when price is "expensive" or selling when "cheap" relative to this mean.
Directional Flow: Uses internal flow data to ensure "Smart Money" is actively pushing in the direction of the trade.
Dynamic Target Mapping
The system does not just tell you when to enter; it provides immediate objective targets. Once a "B" signal appears, three dashed levels are projected:
Level 1 (--- T1): Scalp/Partial Exit.
Level 2 (--- T2): Trend Extension.
Level 3 (--- T3): Volatility Expansion.
Visual Interface
B (Green): Bullish Execution (Call side).
B (Red): Bearish Execution (Put side).
Dashed Lines: Clear, non-intrusive profit targets.
Chart Style: Ultra-clean. No moving averages or oscillators are visible, keeping your focus on Price Action. No guaranteed profits
Clear disclaimer like: “This is not financial advice”
1 Month Buying ForceThis indicator tracks current price recovery from the lowest low over the past ~22 trading days (1 month on daily charts).
Color-coded: Red (<20% - weak), Orange (20-30% - moderate), Green (>30% - strong). Perfect for screening bounce candidates and swing setups in Pine Screener.
KIMSHA ScoreboardThe KIMSHA Scoreboard V11 is a multi-timeframe trend and momentum analysis tool designed to identify high-probability "Strike Zone" entries by aligning Daily and Weekly technicals.
The Scoring Logic
Using a unique binary weighting system, the indicator monitors four critical conditions:
Daily MACD & Daily CCI: The primary "Must-Have" momentum triggers.
Weekly MACD & Weekly CCI: The foundational trend confirmation.
KIMSHA Grades (0–4)
The scoreboard distills 16 technical combinations into five definitive priority levels:
Score 4 (A+): Perfect Alignment. All four Daily and Weekly conditions are met.
Score 3 (A): Strike Zone. Both Daily conditions are locked + Weekly trend support. This is the primary entry zone.
Score 2 (D): Warning. Only one Daily condition is met. Building momentum but lacks full confirmation.
Score 1 (W): Watchlist. Weekly trend is positive, but Daily entry triggers are not yet active.
Score 0 (F): No Trade. No technical conditions are currently met.
Single Candle Order Block (ICT) [Kodexius]Single Candle Order Block (ICT) is a chart-focused implementation of the ICT style Single Candle Order Block (SCOB) concept. It detects a strict 3 candle displacement pattern and projects the originating “order block candle” as a live zone that extends forward in time until price mitigates it.
The script is designed for practical trading workflows:
- It plots only the most recent active zones (user-defined limit) to keep charts readable.
- It supports optional multi-timeframe (MTF) detection, so you can project higher-timeframe SCOBs onto a lower-timeframe execution chart.
- It includes a mitigation engine (Close or Wick) to automatically invalidate and remove zones once they are decisively broken.
🔹 Features
🔸 ICT Single Candle Order Block Pattern Detection (Bull and Bear)
The indicator identifies a clean displacement sequence that implies a potential order block formed by the middle candle of a 3-candle structure.
Bullish SCOB: bearish candle at , bullish continuation at , then bullish displacement that closes above the prior candle’s high, with a sweep condition on the order block candle’s low.
Bearish SCOB: inverse structure requiring bearish displacement that closes below the prior candle’s low, with a sweep condition on the order block candle’s high.
The plotted zone boundaries are derived from the order block candle:
Top = high
Bottom = low
🔸 Multi-Timeframe Detection (Optional)
The script can compute SCOBs on a selected timeframe and display them on the current chart using request.security. This is ideal for mapping higher-timeframe order blocks onto lower-timeframe execution charts.
If the timeframe input is left empty, detection runs on the chart timeframe.
🔸 Volatility Filter (Optional)
When enabled, detections are filtered by volatility regime:
A SCOB is only displayed if ATR(14) > SMA(ATR(14), 200)
This helps reduce signals during compressed, low-range conditions where displacement patterns are often less meaningful.
🔸 Overlap Control (De-Cluttering)
Before a new zone is added, the script checks for overlap against existing zones of the same direction. If the new zone intersects an existing one, it is ignored. This reduces redundant stacking of zones in the same price area.
🔸 Mean Threshold (50%) Midline (Optional)
Each active SCOB is drawn as a semi-transparent box with:
Direction label text (Bu-SCOB / Be-SCOB)
Optional midpoint line at 50% of the zone height (Mean Threshold)
🔸 Automatic Zone Extension and Object Management
Zones extend forward on each bar to remain visible until mitigation. The script also manages object count and chart cleanliness by:
Keeping internal arrays for bull and bear zones
Removing older stored zones if internal history grows too large
Displaying only the most recent “Active SCOB Limit” zones while hiding older ones
🔸 Alerts
Alerts are provided for newly confirmed detections:
Bullish SCOB Detected
Bearish SCOB Detected
Duplicate prints are prevented by tracking the last detected zone time for each direction.
🔹 Calculations
1) Volatility Regime Check (ATR vs ATR SMA)
float myAtr = ta.atr(14)
float atrSma = ta.sma(myAtr, 200)
bool isVolatile = myAtr > atrSma
If the Volatility Filter is enabled, the script requires isVolatile to be true before creating a SCOB zone.
2) Bullish SCOB Detection Logic
bool isBull = open > close and close > open and close > open and low < low and close > high
Interpretation of the conditions:
open > close confirms the candle at is bearish.
close > open confirms the order block candle at is bullish.
close > open confirms current candle is bullish.
low < low indicates a relative sweep on the order block candle’s low.
close > high confirms displacement by closing above the order block candle’s high.
Zone bounds for a bullish SCOB come from candle :
[isBull, high , low , time , isBear, high , low , time , isVolatile]
3) Bearish SCOB Detection Logic
bool isBear = open < close and close < open and close < open and high > high and close < low
Interpretation of the conditions:
open < close confirms the candle at is bullish.
close < open confirms the order block candle at is bearish.
close < open confirms current candle is bearish.
high > high indicates a relative sweep on the order block candle’s high.
close < low confirms displacement by closing below the order block candle’s low.
Zone bounds for a bearish SCOB also come from candle :
[isBull, high , low , time , isBear, high , low , time , isVolatile]
4) Multi-Timeframe (MTF) Selection
The script runs the detection logic on the chosen timeframe and projects results onto the current chart:
=
request.security(syminfo.tickerid, i_tf, detectLogic())
It also prevents duplicate zone creation by checking the last processed detection time:
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
5) Overlap Validation
Before pushing a new zone, overlap is checked against existing zones:
if volPass and not bullArray.hasOverlap(mtf_bullTop, mtf_bullBot)
SCOB newScob = SCOB.new(top = mtf_bullTop, bottom = mtf_bullBot, barStart = mtf_bullTime, isBull = true)
bullArray.push(newScob)
if volPass and not bearArray.hasOverlap(mtf_bearTop, mtf_bearBot)
SCOB newScob = SCOB.new(top = mtf_bearTop, bottom = mtf_bearBot, barStart = mtf_bearTime, isBull = false)
bearArray.push(newScob)
6) Mitigation Logic (Close vs Wick)
Mitigation is evaluated every bar. Bullish zones mitigate below the bottom; bearish zones mitigate above the top:
method isMitigated(SCOB this, string style, float currentClose, float currentHigh, float currentLow) =>
bool mitigated = false
if this.isBull
float price = style == "Close" ? currentClose : currentLow
mitigated := (price < this.bottom)
else
float price = style == "Close" ? currentClose : currentHigh
mitigated := (price > this.top)
mitigated
Nifty oi support resistanceThis indicator is designed specifically for Nifty 50 Intraday Traders who use strike-based reversal logic. It automatically plots a dynamic grid of "Kill Zones" based on standard Option Chain strike prices (50-point intervals).
Instead of manually drawing lines every day, this script visually backtests and tracks the critical +30 and -30 levels from every strike price, helping you identify valid breakout and reversal areas historically.
Key Features:
Dynamic Strike Tracking: Automatically detects the nearest strike price to the current close and plots levels for that strike, plus the two strikes above and below it. This ensures you never lose sight of levels during high volatility.
The "+/- 30" Logic: Plots specific buffer zones at Strike + 30 (Potential Resistance/Short Zone) and Strike - 30 (Potential Support/Long Zone).
Major Level Warning (Red Zones): Automatically highlights major round numbers (multiples of 500, e.g., 25000, 25500) in RED to warn of high-risk reversal areas. All other standard strikes are plotted in BLUE.
Historical Verification: Because this is an indicator (not a strategy), it overlays dots on your entire chart history. This allows you to visually backtest how often price respects these +/- 30 levels over weeks or months.
How to Use:
For Reversals: Watch for price to touch a Blue Dot (Standard Strike +/- 30) and show rejection candles.
For Avoidance: Use the Red Dots (500 Level Multiples) as caution zones where price action may be unpredictable.
Validation: Use this tool to verify if your manual levels align with the mathematical strike grid.
Settings:
Strike Interval: Default is 50 (Standard Nifty Strikes).
Buffer: Default is 30 (The reversal trigger points).
Avoid Multiples: Default is 500 (Highlights major round numbers in red).
banks: basic plan compatible 🌟 Banking Basket Analysis v5.9 (Vol/RSI Always ON) – Works perfectly on FREE/Basic plan! 🌟
Only 14 security calls – super low, no lag, fully compatible with TradingView basic accounts.
Track strength in US & EU banks instantly:
• Basket MA crossover signals (strong/medium/weak) with labels
• Always-active Volume + RSI confirmation (shows • dot on active stocks)
• Live table: 14 major banks (JPM, BAC, GS, INGA, HSBA etc.) with price, % change & signals
• Main chart MAs, buy/sell arrows, Bollinger Bands, Supply/Demand zones, high-volume alerts, USD trend arrows & index tracker
Perfect for trading bank stocks or indices. Add to any chart – clean, fast, reliable.
Try it now – completely basic-plan friendly!
Add this script to any chart (works best on bank stocks, XLF, EUFN or indices).
Key features you’ll see:
• Top-right table: lists all 14 banks with current price, daily % change, MA signal (S/M/W Buy/Sell) and white • dot when Volume+RSI confirms momentum.
• Chart labels: “Xs USs/EUs” etc. show basket strength + count of stocks with Vol/RSI signal.
• Green/blue lines = EU/US basket MAs.
• Standard MA cross buy/sell arrows, background color, BB, S/D zones, volume alerts & USD trend arrows all active by default.
“Note: white dot ⚪️ rsi in table has to be checked on it’s specific ticker chart for sell or buy rsi.”
This is a completely free invitation script. Everyone out there (probably the few who notice) is invited 🙂. Works with basic plan security call limits.
[The purpose of this scrip is most intended as a basic industry sector screener, it's not a multi layer confluence or price projection aid.
"Buy and Sell labels are only standard moving average theories and should not be taken as prompts alone".
ICT Complete Toolkit v2📌 OVERVIEW
The ICT Complete Toolkit is a comprehensive trading indicator designed for traders who follow Inner Circle Trader (ICT) methodology. It combines multiple ICT concepts into a single, cohesive tool: Market Structure Shift (MSS), Fair Value Gaps (FVG), Liquidity Levels, Killzones, Bias Analysis, and optional Buy/Sell signals.
This indicator is built for intraday traders working on timeframes from 1-minute to 30-minute charts, though many features (like HTF FVG and Bias Dashboard) provide valuable context on any timeframe.
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⭐ WHAT MAKES THIS INDICATOR UNIQUE
This is NOT just another ICT indicator. Here's what sets it apart from free open-source alternatives:
1. INTEGRATED SIGNAL LOGIC (Not Found in Free Scripts)
Unlike standalone FVG or MSS indicators, this toolkit generates Buy/Sell signals only when multiple conditions align:
• Sweep Mode signals require: Liquidity sweep (PDH/PDL/Session high-low) → MSS confirmation → FVG formation → Active Killzone
• This multi-layer filtering dramatically reduces false signals compared to simple FVG or MSS indicators
2. PROPRIETARY SESSION ATR WITH LIVE RANGE PERCENTAGE
No other public indicator offers this feature. The Session ATR dashboard shows:
• Average True Range calculated per session (Asia, London, NY AM, NY PM) - not a generic daily ATR
• Live Range %: Real-time display of how much of the session's typical range has been used (e.g., "75%" means the session has moved 75% of its average range)
• This helps traders avoid entering exhausted moves and set realistic profit targets
3. CONTEXT-AWARE FVG DISPLAY
Most FVG indicators show ALL Fair Value Gaps. This toolkit only displays FVGs that form after a valid Market Structure Shift, filtering out noise and showing only FVGs with structural context.
4. HTF FVG WITH ADVANCED MITIGATION OPTIONS
The Higher Timeframe FVG feature includes three mitigation detection methods not commonly found together:
• Any touch (including wick)
• Close inside FVG
• Touch CE line (Consequent Encroachment - 50% midpoint)
5. UNIFIED WORKFLOW IN ONE INDICATOR
Instead of managing 5-7 separate indicators (Killzones, FVG, MSS, PDH/PDL, Bias, etc.), everything is integrated with shared logic. Components communicate: signals respect Killzone timing, FVGs respect MSS context, and the Bias Dashboard informs trade direction.
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💎 WHY THIS INDICATOR IS WORTH PAYING FOR
TIME SAVED:
• No need to configure and align multiple free indicators
• Pre-built workflow means you start trading ICT concepts immediately
• All timeframe conversions, session calculations, and signal logic handled automatically
REDUCED ERRORS:
• Integrated components eliminate conflicting signals from separate indicators
• Built-in filters (Killzone-only signals, MSS-context FVGs) prevent common mistakes
FEATURES NOT AVAILABLE FOR FREE:
• Session-specific ATR with live range % (proprietary calculation)
• Multi-condition signal generation (Sweep mode)
• Unified dark/light theme support for all dashboards
• Multiple groups of PO3 (Power of Three) HTF candles visualization on current chart
ONGOING DEVELOPMENT:
• Active maintenance and feature updates
• Support via website and email
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🔗 WHY THESE COMPONENTS WORK TOGETHER
This is NOT a random mashup of indicators. Each component serves a specific role in a complete trading workflow, and they are designed to work as an integrated system:
THE CORE LOGIC: Liquidity → Structure → Entry → Timing
1. Liquidity Levels (PDH/PDL/PWH/PWL) → WHERE smart money hunts stops
These levels identify where retail traders place stop losses. Institutional players target these levels to fill large orders. The indicator tracks these levels so you know where potential reversals may occur.
2. Killzones → WHEN institutional players are active
Not all hours are equal. The indicator highlights specific session windows when banks and institutions execute large orders. Trading outside these windows often results in choppy, directionless price action. Killzones tell you when to pay attention.
3. Market Structure Shift (MSS) → CONFIRMATION that direction changed
After liquidity is swept, you need confirmation that the move is reversing. MSS detects when price breaks a swing point in the opposite direction, signaling that the "trap" is complete and a new trend may begin.
4. Fair Value Gaps (FVG) → WHERE to enter
Once structure shifts, FVGs provide precise entry zones. These imbalances act as magnets for price and offer low-risk entry points with clear invalidation levels.
5. HTF FVG → CONTEXT from higher timeframes
Lower timeframe FVGs can be noise. HTF FVGs show you where the bigger players left imbalances, providing confluence when your LTF setup aligns with a higher timeframe zone.
6. Bias Dashboard → DIRECTION filter
Before taking any trade, you need to know the overall trend. The Bias Dashboard uses Supertrend + RSI + Moving Average triple confirmation to show you whether higher timeframes support your trade direction.
7. Session ATR & Range → EXPECTATION management
Knowing how much a session typically moves helps you set realistic targets and avoid entering when the move is already exhausted.
HOW THEY CONNECT:
BIAS (Direction)
↓
KILLZONE (Timing) → Only trade during active sessions
↓
LIQUIDITY SWEEP (Trap) → Wait for PDH/PDL/Session high-low sweep
↓
MSS (Confirmation) → Structure shifts in bias direction
↓
FVG (Entry) → Enter on retracement into the gap
↓
HTF FVG (Confluence) → Extra confidence if aligned with HTF zone
↓
SESSION ATR (Target) → Set targets based on remaining session range
This is the complete ICT intraday workflow in one indicator. Each component answers a specific question, and together they form a systematic approach to identifying high-probability trade setups.
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🔍 WHAT THIS INDICATOR DOES
1. MARKET STRUCTURE SHIFT (MSS) DETECTION
The indicator identifies changes in market structure by tracking swing highs and swing lows. A Bullish MSS occurs when price breaks above a swing high after forming a higher low. A Bearish MSS occurs when price breaks below a swing low after forming a lower high.
How it works:
• Swing points are identified using a configurable number of consecutive bullish or bearish bars (default: 2)
• When price closes beyond a previous swing point in the opposite direction, an MSS line is drawn
• MSS lines extend to the right until they are broken or a new structure forms
2. FAIR VALUE GAPS (FVG) - CURRENT TIMEFRAME
Fair Value Gaps represent price imbalances where a candle's range doesn't overlap with the candle two bars prior, leaving a "gap" in fair value. These zones often act as magnets for price.
How it works:
• Bullish FVG: The low of bar is higher than the high of bar , creating an upward gap
• Bearish FVG: The high of bar is lower than the low of bar , creating a downward gap
• FVGs are displayed as semi-transparent boxes and remain visible until price returns to fill them
• FVGs are only shown when they occur after a valid MSS, ensuring they appear in the context of a structural shift
3. HIGHER TIMEFRAME (HTF) FVG
See Fair Value Gaps from higher timeframes (15m, 1H, 4H, Daily) directly on your chart. These represent larger imbalances created by institutional order flow.
Configuration options:
• Mode - Until Inversed: FVG remains visible until price closes completely beyond it
• Mode - Until Mitigated: FVG disappears based on your mitigation criteria:
- Any touch: Removed when any part of a candle touches the FVG
- Close inside: Removed only when price closes within the FVG
- Touch CE line: Removed when price touches the 50% midpoint (Consequent Encroachment)
4. LIQUIDITY LEVELS (PDH/PDL/PWH/PWL)
Displays Previous Day High, Previous Day Low, Previous Week High, and Previous Week Low. These levels represent areas where retail stop losses typically cluster, making them targets for liquidity sweeps before reversals.
How it works:
• Levels are calculated at the start of each new day/week using the prior period's actual high and low
• Lines extend across the current period with customizable style (solid, dashed, dotted), width, and color
• Labels clearly identify each level
5. SESSION KILLZONES
Highlights the four major trading sessions when institutional activity is highest:
• Asia Session (default: 20:00-00:00 NY time)
• London Session (default: 02:00-05:00 NY time)
• NY AM Session (default: 09:30-11:00 NY time)
• NY PM Session (default: 13:30-16:00 NY time)
All times are in New York timezone. Each session is displayed as a colored box, and times are fully customizable.
6. SESSION ATR DASHBOARD
A table displaying the Average True Range for each session, calculated from the high-low range of completed sessions over a configurable lookback period (default: 14 days).
Additional feature - KZ Range:
Shows the current session's range as a percentage of its ATR. For example, if NY AM typically moves 40 pips and the current range shows 75%, the session has already used most of its average movement.
7. OPENING RANGE
Displays the high and low of the first candle (5m or 15m) when the NY AM session opens. Price often sweeps above or below this range before reversing—a concept sometimes called the "Judas swing."
The Opening Range box extends for a maximum of 30 minutes or until price closes beyond the range.
8. BIAS DASHBOARD
A multi-timeframe trend analysis table using triple confirmation:
Calculation method:
• Supertrend (ATR Length: 10, Factor: 3.0) - Determines primary trend direction
• RSI (Length: 14) - Confirms momentum (above 50 = bullish, below 50 = bearish)
• Moving Average - EMA 50 for 5m/15m timeframes, EMA 200 for 1H/4H/Daily
Bias levels:
• Strong Bullish: All three indicators aligned bullish
• Bullish: Supertrend + RSI bullish, MA not yet confirming
• Neutral: Supertrend and RSI disagree
• Bearish: Supertrend + RSI bearish, MA not yet confirming
• Strong Bearish: All three indicators aligned bearish
9. BUY/SELL SIGNALS
Optional automated signals based on ICT concepts:
Signal Type - Any/Scalp:
Generates signals whenever an MSS occurs followed by an FVG, without additional filtering. Suitable for scalping strategies.
Signal Type - Sweep:
Higher-probability signals that only trigger when:
• A liquidity sweep occurs (price takes out PDH, PDL, or the previous session's high/low)
• Followed by a Market Structure Shift
• With a Fair Value Gap forming for entry
Signals can be filtered to only appear during active Killzones.
10. REVERSAL CANDLE PATTERNS
Identifies six candlestick reversal patterns, each requiring 3 consecutive bars in the opposite direction within the last 4 bars:
• Engulfing (E): Current candle fully engulfs the previous candle including wicks
• Hammer (H): Lower wick ≥2x body size, appearing after downtrend (bullish)
• Hanging Man (HM): Same structure as hammer but after uptrend (bearish)
• Inverted Hammer (IH): Upper wick ≥2x body size, after downtrend (bullish)
• Shooting Star (SS): Upper wick ≥2x body size, after uptrend (bearish)
• John Wick (JW): 50%+ of candle is wick with ≤15% wick on opposite side
11. BREAKER BLOCKS
When an FVG is "broken" (price closes through it), the zone may act as the opposite—former support becomes resistance and vice versa. Enable Breaker Blocks to track these flipped zones.
12. PO3 (POWER OF THREE) HTF CANDLES
Displays higher timeframe candles (1H, 4H, Daily) directly on your chart to the right of current price. This helps you visualize where current price sits within the larger candle's range without switching timeframes.
Configure up to 3 groups with different timeframes and candle counts.
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🎯 HOW TO USE THIS INDICATOR
FOR TREND-FOLLOWING ENTRIES:
1. Check the Bias Dashboard for higher timeframe direction
2. Wait for price to enter a Killzone (London or NY sessions recommended)
3. Look for a liquidity sweep of PDH/PDL or session highs/lows
4. Wait for Market Structure Shift in the direction of your bias
5. Enter on the Fair Value Gap retracement
FOR SCALPING:
1. Enable Buy/Sell Signals with "Any/Scalp" mode
2. Focus on active Killzones
3. Use signals as entry triggers, with FVG zones as entry prices
4. Consider reversal candle patterns for additional confirmation
FOR SWING ANALYSIS:
1. Enable HTF FVG (1H, 4H, Daily)
2. Use "Until Mitigated" mode with "Touch CE line" for precise levels
3. Mark weekly levels (PWH/PWL) as major targets
4. Use the PO3 candles to understand higher timeframe structure
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⚙️ KEY SETTINGS EXPLAINED
• Consecutive Bars for Market Structure - Controls swing point sensitivity (higher = fewer, more significant swings)
• Max MSS Lines - Limits displayed MSS lines for chart clarity
• HTF FVG Mode - Choose between "Until Inversed" or "Until Mitigated"
• HTF Mitigation Type - How strictly FVGs are considered filled
• Show Signals Only in KZ - Filter signals to active sessions only
• Signal Type - "Sweep" for higher quality, "Any/Scalp" for more signals
• Session ATR Days - Lookback period for average session range calculation
• Dark Theme - Toggle for better visibility on dark chart backgrounds
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📊 BEST PRACTICES
1. Start with defaults - The indicator is pre-configured with sensible settings
2. Less is more - Don't enable every feature at once; focus on what you understand
3. Higher timeframe first - Check Daily/4H bias before taking lower timeframe trades
4. Respect Killzones - The best setups occur during active sessions
5. Wait for confirmation - MSS + FVG together is more reliable than either alone
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⚠️ IMPORTANT NOTES
• This indicator works best on intraday timeframes (1m to 30m) for Killzones and MSS/FVG
• HTF FVG and Bias Dashboard provide value on any timeframe
• All session times are in New York timezone
• Signals are tools for analysis, not guaranteed trade entries
• Always use proper risk management
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🔄 UPDATES
This indicator is actively maintained. Feature requests and bug reports are welcome.
Statistical Reversion FrameworkIntroduction and Core Philosophy
The Statistical Reversion Framework constitutes a sophisticated quantitative trading instrument designed to identify high-probability mean reversion opportunities across financial markets. Unlike traditional technical indicators that rely on a single dimension of market data, this framework adopts a multi-faceted approach, synthesizing statistical probability, volume profile analysis, institutional money flow proxies, and standard technical momentum into a singular composite score. The core philosophy driving this script is the concept of confluence through heterogeneity; by combining uncorrelated or loosely correlated market factors—such as price deviation (statistics), participant commitment (volume), and macro sentiment (intermarket data)—the algorithm aims to filter out the noise inherent in standard oscillators and isolate moments where market pricing has deviated unsustainably from its intrinsic equilibrium. This tool is specifically engineered to detect market extremes—tops and bottoms—where the probability of a counter-trend move or a snap-back to the mean is mathematically significant. It operates on the premise that while asset prices can remain irrational in the short term, they are bound by statistical variance and mean-reverting properties over longer horizons, particularly when institutional flows and volume exhaustion patterns align with those statistical extremes.
Methodology: The Composite Scoring Architecture
The underlying methodology of the framework relies on a weighted composite scoring system. Rather than generating binary buy or sell signals based on a threshold crossover, the script calculates a granular score ranging from zero to one hundred for various market dimensions. These dimension-specific scores are then weighted according to user-defined inputs to produce a final "Composite Score." This approach allows for a nuanced assessment of market conditions; a setup might have extreme statistical deviation but lack volume confirmation, resulting in a lower confidence score than a setup where price, volume, and macro factors all align. The algorithm normalizes all input data into a standardized scale, typically converting raw values—such as Z-Scores or volume ratios—into a zero-to-ten ranking before aggregating them. This normalization process is critical because it allows the algorithm to compare apples to oranges mathematically, treating a standard deviation of 3.0 and a Relative Strength Index (RSI) of 20 as compatible inputs within the same equation. By summing these normalized values and applying regime-based confidence adjustments, the framework produces a dynamic signal that adapts to the volatility and trend intensity of the current market environment.
Algorithmic Component I: Statistical Analysis via Multi-Timeframe Z-Scores
The backbone of the framework is the Statistical Component, which utilizes the Z-Score (or Standard Score) to quantify the degree of price deviation. The Z-Score measures how many standard deviations the current price is from its moving average. A crucial aspect of this algorithm is its fractal nature; it does not rely on a single lookback period. Instead, it computes Z-Scores across three distinct timeframes—Daily, Weekly, and Monthly—and within each timeframe, it calculates deviations for short, medium, and long-term periods. For instance, on the daily timeframe, it assesses deviation from 50-day, 200-day, and 500-day means simultaneously. This multi-timeframe approach is designed to filter out ephemeral noise. A price move that appears extreme on a 10-day basis but is normal on a 200-day basis is likely a trend pull-back rather than a reversal. Conversely, when the Z-Scores across daily, weekly, and monthly timeframes all register values beyond significant thresholds (such as 2.0 or 3.0 standard deviations), it indicates a rare fractal alignment where the asset is historically overextended on all relevant scales. The algorithm aggregates these nine distinct Z-Score data points to form the "Statistical Score," heavily rewarding scenarios where multiple timeframes show directional alignment, as these synchronized deviations often precede powerful mean-reversion events.
Algorithmic Component II: Volume Signature and Participation Analysis
While statistical deviation highlights where the price is, the Volume Component analyzes the conviction behind the move to determine if a reversal is imminent. This section of the code employs several sophisticated logic gates to identify specific volume signatures known as Capitulation and Exhaustion. The algorithm compares current volume against a 50-day moving average to generate a volume ratio. It then correlates this ratio with price action. For example, the script identifies "Capitulation" when price collapses significantly (more than 2%) on volume that is at least three times the average. This specific signature—panic selling—often marks the psychological wash-out necessary for a market bottom. Conversely, the script detects "Volume Exhaustion" when prices drift without conviction on extremely low volume, indicating a lack of participant interest in pushing the trend further. Furthermore, the algorithm integrates On-Balance Volume (OBV) analysis, specifically looking for divergences. It detects subtle shifts where the price makes a new low, but the OBV makes a higher low, signaling that smart money is accumulating positions despite the falling price. This divergence logic is automated using pivot-based high/low detection arrays, adding a layer of foreshadowing that price-only indicators often miss.
Algorithmic Component III: Institutional Proxy and Intermarket Correlations
The Institutional Component distinguishes this framework from standard retail indicators by incorporating intermarket data that serves as a proxy for macro sentiment and institutional flow. The script pulls data from extraneous tickers—specifically the VIX (Volatility Index), Government Bond Yields (10-year and 2-year), Copper, Gold, and the Dollar Index (DXY). The logic here is grounded in fundamental market mechanics. For instance, the script analyzes the VIX to gauge market fear; however, it applies a contrarian logic. An extremely high VIX (panic) coincident with a low equity price is scored as a bullish factor, while a complacently low VIX at market highs is viewed as bearish. Similarly, the algorithm analyzes the Yield Curve (the spread between 10-year and 2-year yields). A steepening or flattening curve provides context on economic expectations, influencing the score based on whether the environment is "risk-on" or "risk-off." The Copper/Gold ratio is utilized as a barometer for global economic health; rising copper relative to gold suggests industrial demand and growth, confirming bullish setups, whereas falling copper prices signal contraction. By integrating these non-price variables, the framework ensures that a trade signal is not just technically sound but is also supported by the broader macroeconomic undercurrents that drive institutional capital allocation.
Algorithmic Component IV: Technical Momentum and Structure
The final layer of input comes from standard Technical Analysis, which serves to fine-tune the timing of the entry. This component aggregates readings from the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Bollinger Bands, and Support/Resistance proximity. While Z-Scores measure linear distance from the mean, the RSI and Bollinger Bands measure the velocity and elasticity of that move. The algorithm assigns higher scores when RSI hits extreme levels (below 20 or above 80) and when price action pierces the outer bounds of the Bollinger Bands. Additionally, the MACD is monitored for histogram reversals and signal line crosses that align with the mean reversion bias. A unique feature of this component is the proximity logic, which calculates how close the current price is to a 50-period high or low. If a statistical extreme coincides with a retest of a major structural support level, the technical score is maximized. This ensures that the trader is not catching a falling knife in a void, but rather identifying a reversal at a location where technical structure provides a natural floor or ceiling for price.
Regime Detection and Confidence Adjustment
A critical vulnerability of mean reversion strategies is that they can suffer severe drawdowns during strong, unidirectional trending markets (momentum regimes). To mitigate this, the framework incorporates a Regime Detection module using the Average Directional Index (ADX) and volatility thresholds. The script calculates the ADX to measure trend strength regardless of direction. If the ADX is above a certain threshold (default 25), the market is classified as "Trending." The script then cross-references this with volatility data to classify the environment into regimes such as "Crisis," "Trending," "Range," or "Mean-Revert." This classification is not merely cosmetic; it actively influences the final output through a "Regime Confidence" multiplier. If the system detects a strong trending regime, it dampens the Composite Score, requiring extraordinary evidence from the other components to trigger a signal. Conversely, if the market is detected as "Mean-Revert" or "Low-Vol Range," the confidence multiplier boosts the score, making the system more sensitive to reversion signals. This adaptive logic helps protect the trader from fading strong breakouts while aggressively capitalizing on ranging markets.
Usage Instructions and Dashboard Interpretation
Traders utilizing this framework should primarily interact with the on-screen Dashboard, which provides a real-time summary of all computed metrics. The dashboard is organized hierarchically, with the "Composite Score" and "Signal Status" at the top. A Composite Score above 70 is generally considered actionable, with scores above 85 representing "Exceptional" setups. The Dashboard is color-coded: green hues indicate bullish/oversold conditions suitable for buying, while red hues indicate bearish/overbought conditions suitable for selling or shorting. Traders should look for "Confluence" across the rows. Ideally, a robust signal will show a high Statistical score (indicating price is cheap/expensive), a high Volume score (indicating capitulation or accumulation), and a supportive Institutional score. If the Composite Score is high but the Institutional score is low, the trader should proceed with caution, as the macro environment may not support the trade.
The chart visuals provide immediate entry triggers. "Strong Bottom" (Green Triangle) and "Strong Top" (Red Triangle) shapes appear when the Composite Score breaches the high threshold and Z-Scores are at extremes. These are the primary execution signals. Smaller "Potential" markers indicate developing setups that may require lower timeframe confirmation. Additionally, specific volume icons (Diamonds) will appear to denote Capitulation or Climax events. A trader should ideally wait for the candle to close to confirm these signals. The alerts configured in the script allow the trader to be notified of these events remotely. For risk management, because this is a mean reversion tool, stop-losses should typically be placed below the swing low of the capitulation candle (for longs) or above the swing high of the climax candle (for shorts), anticipating that the statistical extreme marks the distinct turning point. By systematically waiting for the Composite Score to align with the visual signals and verifying the regime context on the dashboard, the trader effectively filters out low-probability trades, engaging only when statistics, volume, and macro-economics align.
Bear Lines [Liquidity & Volume] - Institutional OverlaySTOP GUESSING. START SEEING. Most indicators clutter your chart with noise. Bear Lines V22 cleans it up. This is an automated institutional suite that combines liquidity tracking, multi-timeframe volume radar, and fair value modeling into a single, conflict-free interface.
THE 5 PILLARS OF BEAR LINES V22:
1. 🌊 The "Logic Gate" Liquidity Rails Never worry about chart clutter again.
What it does: Automatically plots Daily/Weekly Highs & Lows.
Result: Clean, staggered labels. Zero confusion.
2. 🐋 Whale Defender (15s Volume Radar) See where the big money is defending their position.
What it does: Scans 15-second timeframes for massive volume spikes and projects them onto your higher timeframe chart.
The Edge: You see the "hidden" walls where institutions stepped in. If price returns there, expect a reaction.
3. 🧠 Smart FVGs (Self-Cleaning)
What it does: Highlights Bullish/Bearish imbalance zones.
The Edge: "Self-Cleaning" technology removes the box the moment price fills the gap. No ghost boxes. Only active data.
4. ⚖️ The "True Value" Slider
What it does: A customizable Mean Reversion line (1-7 Day calculation).
The Edge: Instantly identifies if you are in a "Premium" (Red Zone) or "Discount" (Green Zone). Never buy the top again.
5. 📊 Institutional VWAP
The Edge: Standard Deviation bands anchored to the day open. Use this to trade mean reversions when price is statistically overextended.
HOW TO GET ACCESS: This is a private, invite-only suite.
Session Kill Zones 2026 - Sachin Thakare📌 INDICATOR DESCRIPTION (COPY–PASTE AS IS)
Session Kill Zones is a professional intraday session-mapping indicator designed to highlight the most active institutional trading windows across global markets.
This tool visually marks Asia, London, and New York sessions directly on the chart, helping traders understand when liquidity expands, volatility increases, and meaningful price moves are more likely to occur.
Built for price-action, ICT, and Smart Money Concept (SMC) traders, this indicator focuses purely on time-based market structure, not signals or predictions.
🔍 Key Features
Clear visual boxes for Asia, London, and New York sessions
Automatic session High / Low tracking
Optional extension of session High & Low levels
Timezone-aware (IANA standard for global accuracy)
Clean, lightweight, non-repainting logic
Informational session status & bias table
🎯 Who This Is For
Intraday & scalping traders
ICT / SMC traders
Index, Forex, Crypto, and Commodity markets
Traders who value timing, liquidity, and context over indicators
⚠️ This indicator does not generate buy/sell signals.
It is a context and session-mapping tool intended to support discretionary trading decisions.
👤 Author & Credits
Author: Sachin Thakare
Edition: 2026
Rights: © 2026 Sachin Yashwant Thakare — All Rights Reserved
