Jimbob rangethis is a range indication for round numbers should give you levels to trade off when price is in new all time highs where there is no price action to level off.
Göstergeler ve stratejiler
AMax: Sniper Master V3.5 (Target Position)AMax: Sniper Master V3.5 (Target Position)
Overview AMax: Sniper Master V3.5 is a technical execution framework designed for volatility-based position sizing and risk management. Its primary objective is to filter out low-volatility "noise" and ensure that capital is deployed only when market conditions provide sufficient physical range to meet specific profit targets.
Core Mathematical Logic & Features This script does not provide buy/sell signals but serves as a mathematical engine to calculate optimal execution parameters based on the following logic:
Adaptive Midpoint Defense (Volatility Filter): The script monitors Relative Volume (RelVol). If $RelVol < 0.8$, the system identifies a low-liquidity environment and dynamically shifts the defensive line to a tactical midpoint (calculated as the average between the 3-minute and 15-minute structural levels). This reduces position sensitivity to random price wicks while maintaining a balanced risk-reward ratio.
Momentum Overheat Protection: Utilizing the Relative Strength Index (RSI), the script triggers a "Cooling" status when RSI values exceed 80 or drop below 20. This logic is implemented to prevent entry at exhausted price extremes (FOMO protection).
Quantitative Budget Guard: Users can input a specific "Trade Budget." The script then calculates the precise position size by dividing the budget by the distance to the calculated stop-loss level, ensuring that the maximum loss per trade never exceeds the user-defined threshold.
Real-time UI Friction Analysis: Rows 8 and 9 of the dashboard provide real-time data on "Physical Profit Space" (current range vs. target) and "Fee Friction" (calculating the impact of exchange fees on the net profit of a single unit).
How to Use
Identify your entry point based on your primary strategy.
Input your "Trade Budget" and "Target Profit" in the script settings.
Observe the Dashboard for "Overheat" status and "Tactical Midpoint" levels to adjust your execution.
產品概述 AMax: Sniper Master V3.5 是一個基於波動率的倉位計算與風險管理技術框架。其核心目標是過濾低波動時期的雜訊，確保僅在市場波幅足以支撐獲利目標時才進行資金部署。
核心數學邏輯與功能 本腳本不直接提供買賣訊號，而是作為一個數學引擎，根據以下邏輯計算最佳執行參數：
戰術折衷止損 (波動率濾網)： 腳本持續監測相對成交量 (RelVol)。當 $RelVol < 0.8$ 時，系統識別為低流動性環境，並將防線動態切換至「戰術中點」（計算為 3 分鐘與 15 分鐘結構位之平均值），以防止隨機插針觸發止損。
動能過熱保護： 利用相對強弱指標 (RSI)，當 RSI 超過 80 或低於 20 時觸發「冷卻」狀態，防止在價格極端疲勞處進場。
定量預算防禦： 使用者定義「單筆預算」，腳本自動將預算除以止損距離，精算出符合風險控制的下單量。
實時 UI 磨損分析： 表格實時顯示「物理獲利空間」與「交易手續費磨損」，幫助交易者判斷當前空間是否值得參與。
如何使用
根據您的主策略決定進場點。
在腳本設定中輸入您的「作戰預算」與「獲利目標」。
參考儀表板中的「過熱狀態」與「戰術中點」位階來優化您的執行紀律。
Access & Authorization This is an Invite-Only script. To request access, please refer to the instructions provided in my TradingView Profile Signature.
Disclaimer: This script is for educational and technical analysis purposes only. Trading involves significant risk.
KAMA Oscillator | IkkeOmarThis script transforms the Kaufman Adaptive Moving Average (KAMA) into an oscillator format, designed to visualize trend direction with reduced noise sensitivity. It operates in two modes: a Raw mode that tracks price levels directly, and a Normalized mode that bounds the oscillator between -1 and +1 for easier comparison across assets.
The calculations are the same as for the Normalized KAMA Oscillator, but I added a few features that users of the old version wouldn't necessarily want.
How it works
Efficiency Ratio (ER): The script calculates the "efficiency" of price movement by comparing the net direction of price to the total volatility over a set period.
Adaptive Smoothing:
When volatility is high but direction is unclear (choppy), the KAMA slows down to filter noise.
When price trends clearly, the KAMA speeds up to track the move.
Normalization (Optional): If enabled, the script takes the raw KAMA value and scales it relative to its highest and lowest points over the Normalization lookback period. The result oscillates between -1 (extreme low) and +1 (extreme high).
The SMA Signal Logic
The script allows you to overlay an SMA (Simple Moving Average) on the oscillator. This serves as a dynamic baseline for the oscillator's momentum.
Signal Generation: A signal is generated when the KAMA Oscillator crosses its SMA.
Bullish: Oscillator crosses above the SMA.
Bearish: Oscillator crosses below the SMA.
Lag vs. Noise Trade-off:
Advantage (Reduced Lag): Crossing the SMA often triggers a signal earlier than waiting for the oscillator to change color (slope change) or cross the zero line. It identifies when immediate momentum is outperforming the recent average.
Risk (Increased Noise): During consolidation, the oscillator will hover close to the SMA line. This increases the probability of "whipsaws" (false signals) where the line crosses back and forth rapidly without a sustained trend. This signal is aggressive and should be used with trend filters.
TechDash+Deliv :MultiCondition Dashboard for Swing,Position TechDash+Deliv: Multi‑Condition Dashboard for Swing/Position Trading
This dashboard is designed for swing and position trading on Indian stocks (NSE/BSE), combining multi‑timeframe trend, momentum, volume, and sector context into a single visual panel. It helps filter high‑probability setups by requiring alignment across multiple factors, reducing false signals in choppy or low‑volume markets.
► Strategy Logic (Conceptual Flow)
The script evaluates 6 key conditions:
1. Short‑term trend: Price above EMA 21
2. Medium‑term trend: Price above EMA 50
3. Long‑term trend: Price above EMA 200
4. Momentum: RSI in the 45–65 range (avoiding overbought/oversold extremes)
5. Participation: Volume > 1.25× its 5‑bar average
6. Trend strength: Supertrend in bullish mode
A BUY signal is generated only when **4 or more of these conditions are satisfied** (this threshold is configurable). This multi‑condition approach ensures that entries are taken only when trend, momentum, and volume align, rather than on a single indicator.
► Dashboard Features
The on‑chart panel shows:
- Technical Signals:
EMA 21 / 50 / 200 status, RSI 45–65, Volume > 1.25× avg, Supertrend direction.
- Delivery Volume Proxy:
- Delivery Qty (K) and Avg Delivery Qty (K)
- Delivery Qty × Avg (a proxy for delivery strength)
- Highlighted in light green when Delivery Qty > 2× Avg — indicating unusually strong delivery interest, often seen during accumulation.
- Sector & Market Context:
- Sector, Industry
- Sector Index % change (e.g., NIFTY, BANKNIFTY, etc.) to gauge relative strength.
► How to Use
- Best timeframes: Daily or higher (weekly) for swing/position trading.
- Best assets: Liquid NSE/BSE stocks with consistent delivery activity.
- Entry: Use the BUY arrow as a trigger, but always confirm with:
- Price action (support / breakout / candlestick pattern)
- Sector strength (prefer stocks in outperforming sectors)
- Proper risk management (stop‑loss below recent swing low, position sizing as per your risk profile).
- Exit: Combine with trailing stop, target levels, or trend reversal signals.
► Why This Combination?
This is not just a simple mashup of indicators; it is specifically tuned for Indian delivery/swing trading:
- Multi‑timeframe EMA filter (21/50/200) ensures alignment across short, medium, and long term.
- RSI 45–65 avoids chasing overbought stocks or catching falling knives.
- Volume + delivery proxy helps focus on stocks with strong participation and genuine delivery interest.
- Supertrend adds trend‑strength confirmation.
- Sector context prevents buying weak stocks in weak sectors.
The dashboard format allows quick visual scanning of all conditions, making it easier to spot high‑probability setups without cluttering the chart.
► Important Notes
- Delivery Qty is a proxy based on volume (since TradingView does not provide real delivery data).
- You can later replace this proxy with real delivery data (e.g., from screener or broker) if available.
- This is a decision‑support dashboard, not a fully automated trading bot. Always use price action, sector strength, and proper risk management.
Levels(5/15 ORB;Previous day Low/High and Previous week low/highIt marks 5/15 Opening range candles high and low. Also Previous week and previous day. Very helpful to filter out RS/RW stocks and in general to see chop chop range vs clean trend day.
5x Multi-Timeframe Moving AveragesSince I use EMA lines a lot and I typically want them based on one timeframe - say: D1 - while looking into higher or lower timeframes, I made this simple indicator:
- Up to 5 moving averages (SMA, EMA, ...)
- on chart timeframe or any defined timeframe (W, D, H4, H1, 30min, ...)
- each with user defined length / number of periods of calculation
- each in user defined line style, width and color.
Straight forward but very handy. Enjoy.
Juergen
QT-AKHOKOاندیکاتور "QT" در پلتفرم TradingView یک ابزار پیشرفته برای تجزیه و تحلیل بازار است که از چندین چرخه زمانی مختلف بهره میبرد. این اندیکاتور به شما کمک میکند تا نقاط بحرانی در بازههای زمانی مختلف (سالیانه، ماهانه، هفتگی، روزانه، 90 دقیقهای و میکرو) را شناسایی کنید. ویژگی برجسته این اندیکاتور، استفاده از SSMT (Same Cycle Multiple Timeframes) و PSP (Price Signal Patterns) برای ارائه سیگنالهای دقیقتر است. این دو بخش باعث میشوند که اندیکاتور "QT" به ابزاری قدرتمند برای تریدرها تبدیل شود.
ویژگیهای اصلی:
SSMT (Same Cycle Multiple Timeframes):
SSMT یک روش تجزیه و تحلیل پیشرفته است که در آن یک چرخه زمانی خاص بهطور همزمان در چندین تایم فریم مختلف رصد میشود. این اندیکاتور با استفاده از SSMT، به شما این امکان را میدهد که تغییرات قیمت در تایم فریمهای مختلف را مقایسه کنید و سیگنالهایی که در چندین تایم فریم همزمان فعال هستند، شناسایی کنید.
این سیگنالها میتوانند به شما کمک کنند که نقاط ورود و خروج بهتری داشته باشید، چرا که تایید شدن سیگنال در چند تایم فریم به معنای اعتبار بالای آن است.
به عنوان مثال، زمانی که یک شکست قیمتی در تایم فریم روزانه رخ میدهد و همزمان در تایم فریمهای هفتگی و ماهانه هم تأیید میشود، احتمال اینکه این حرکت ادامهدار باشد، بسیار بالا خواهد بود.
SSMT قابلیت تنظیم دارد و میتوانید آن را بر اساس نیاز خود بهطور سفارشی تنظیم کنید، از جمله تعیین نحوه نمایش علامتها، رنگها و خطوط سیگنال.
PSP (Price Signal Patterns):
PSP یکی از بخشهای کلیدی اندیکاتور QT است که از الگوهای خاص قیمتی برای شناسایی تغییرات مهم در بازار استفاده میکند. این الگوها میتوانند شامل شکستها (Breakouts)، برگشتها (Reversals) و تغییرات روند (Trend Changes) باشند.
اندیکاتور PSP از دو نماد مختلف برای مقایسه استفاده میکند (مثلاً "SPY" و "QQQ") و نقاطی که این نمادها با یکدیگر دچار انحراف میشوند را شناسایی میکند. به عنوان مثال، اگر یک نماد صعودی باشد اما دیگری نزولی باشد، این میتواند بهعنوان یک هشدار برای تغییر روند بازار عمل کند.
در کنار این الگوها، این اندیکاتور از نشانگرهای گرافیکی (مانند مثلثها، فلشها و علامتهای دایرهای) برای نمایش این تغییرات استفاده میکند.
PSP همچنین این امکان را به شما میدهد که سیگنالهای قیمتی را در تایم فریمهای مختلف مشاهده کرده و تصمیمات دقیقتری بگیرید.
چرخههای زمانی و جعبهها:
اندیکاتور QT از جعبههای زمانی برای نمایش تغییرات در چارچوبهای زمانی مختلف (سالیانه، ماهانه، هفتگی و غیره) استفاده میکند.
این جعبهها میتوانند بهطور خودکار و با تنظیمات سفارشی شما رسم شوند، بهطوری که شما میتوانید روندهای مختلف بازار را در تایم فریمهای متفاوت مشاهده کنید.
بهطور کلی، این ویژگی به شما کمک میکند که نقاط حمایت و مقاومت مهم در زمانهای مختلف بازار را شناسایی کنید.
گرافیک و سفارشیسازی:
این اندیکاتور به شما این امکان را میدهد که رنگها، اندازهها، و استایلهای گرافیکی را به دلخواه خود تغییر دهید. این ویژگی به تریدرها این امکان را میدهد که ابزار را با توجه به نیاز خود شخصیسازی کنند.
همچنین، از آنجا که این اندیکاتور از چندین چرخه زمانی استفاده میکند، شما میتوانید هرکدام از این چرخهها را با استایلهای مختلف نمایش دهید، مثل استفاده از خطچین، نقطهچین یا خطهای عادی.
خلاصه:
اندیکاتور "QT" با استفاده از تکنیکهای پیشرفته مانند SSMT و PSP، تجزیه و تحلیل بازار را در چندین تایم فریم مختلف برای شما امکانپذیر میسازد. این اندیکاتور با تحلیل دقیق چرخههای زمانی مختلف و شناسایی الگوهای قیمتی، سیگنالهایی را برای ورود و خروج به بازار به شما ارائه میدهد که میتواند بهطور قابلتوجهی به استراتژی معاملاتی شما کمک کند.
English:
Detailed Description of QT Indicator with Focus on SSMT and PSP:
The "QT" indicator on TradingView is an advanced tool designed for market analysis using multiple time cycles. It provides traders with a comprehensive view of market trends across different time frames (Yearly, Monthly, Weekly, Daily, 90-minute, and Micro). The standout feature of this indicator is its utilization of SSMT (Same Cycle Multiple Timeframes) and PSP (Price Signal Patterns), which enhances its ability to deliver more accurate signals. These two components make the "QT" indicator a powerful tool for traders.
Main Features:
SSMT (Same Cycle Multiple Timeframes):
SSMT is an advanced analysis technique that monitors a specific cycle across multiple time frames simultaneously. By using SSMT, this indicator allows traders to compare price changes across different time frames and identify signals that are active across multiple time frames.
These signals help traders identify high-probability entry and exit points because when a signal is confirmed across several time frames, it indicates a strong likelihood of a sustained price move.
For example, if a price breakout occurs on the daily time frame and is simultaneously confirmed on the weekly and monthly time frames, it is more likely to continue.
SSMT is highly customizable, allowing traders to adjust how markers, colors, and signal lines are displayed based on their preferences.
PSP (Price Signal Patterns):
PSP is one of the key components of the QT indicator that uses specific price patterns to identify significant market changes. These patterns can include breakouts, reversals, and trend changes.
The indicator utilizes two symbols (e.g., "SPY" and "QQQ") to compare and identify when these symbols diverge, signaling potential market shifts. For instance, if one symbol is bullish while another is bearish, this could signal a change in market direction.
In addition to these patterns, the indicator uses graphical markers (such as triangles, arrows, and circles) to visually represent these market changes and signals.
PSP allows traders to view price signals across different time frames, helping them make more informed decisions.
Time Cycles and Boxes:
The QT indicator uses time boxes to visually display price changes across different time frames (Yearly, Monthly, Weekly, etc.).
These boxes are automatically drawn and can be customized based on the user's settings, allowing traders to observe market trends across various periods.
Overall, this feature helps traders identify critical support and resistance levels at different points in time.
Graphics and Customization:
This indicator allows traders to customize colors, sizes, and graphical styles to fit their needs.
Additionally, since the indicator uses multiple time cycles, traders can display each cycle with different styles, such as solid, dotted, or dashed lines.
Summary:
The "QT" indicator, using advanced techniques like SSMT and PSP, allows traders to analyze the market across multiple time frames. By detecting significant price patterns and utilizing time cycles, the QT indicator provides high-probability signals for market entry and exit. This can greatly assist in enhancing your trading strategy.
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
Rate Trail IndicatorRate Trail Indicator Precision Trailing Stop & Multi-Timeframe Highs
Description The Rate Trail Indicator V2 is a professional-grade risk management tool designed to declutter your charts while providing precise, dynamic stop-loss levels. Unlike traditional indicators that paint a continuous "trail" or history across the chart, this script utilizes a Single Line visual approach. It draws only the currently active stop-loss level as a distinct horizontal line, keeping your workspace clean and focused on current price action.
This updated version now includes extensive Multi-Timeframe (MTF) Support, allowing you to overlay key Intraday and Higher Timeframe (HTF) highs directly on your chart.
Key Features Clean "Single Line" Visuals: Removes historical noise by plotting only the active stop-loss level and a dedicated price label. Dual Logic Modes: Percentage Mode: Classic trailing stop based on a percentage drop from the high. Renko Mode: Volatility-based stop that counts exact "Bricks" (supports decimals like 1.5 bricks). Dynamic Reset: The stop trails the "Lifetime High" of the current trend. If the stop is breached, it automatically resets to the current price to begin a new trail immediately. MTF High Breakout Levels: Optional toggles to display previous Intraday Highs (2H, 4H, 6H, 12H) and Historical Highs (1W, 2W, 1M, 3M). Rolling 3-Month Logic: The 3M level now uses a "Rolling" lookback (Highest of the last 3 monthly candles) rather than a fixed calendar quarter, ensuring the data is always recent and relevant. Full Customization: Control line styles (Solid, Dashed, Dotted), colors, and widths for every level independently via the inputs.
How to Use & Settings
1. Main Trailing Stop Setup Configure your primary risk line (Red Line) in the "Main Trailing Stop" group. Stop-Loss Mode: Select Percentage for standard equity/crypto trading (e.g., 2% trail) or Renko Boxes for Renko charts. Renko Boxes Down: Enter the number of bricks to trail. You can use decimals (e.g., 1.5) for fine-tuning. Use Fixed Lookback?: Unchecked (Default): The script tracks the "Infinite High" since the last reset. This is ideal for catching long trends. Checked: The script only looks at the highest price of the last X bars. This creates a more "rolling" stop-loss.
2. Intraday & Historical Highs (Resistance/Breakout) Enable up to eight additional lines to see where the price peaked on other timeframes. These act as strong breakout or resistance levels. Intraday Highs: Show the high of the previous 2H, 4H, 6H, or 12H session. 1W / 1M Highs: The highest price of the previous Week or Month. 2W High: The highest price of the last 2 Weeks . 3M High (Updated): The highest price of the last 3 Months (Rolling). This updates monthly, ensuring you aren't looking at data that is 6 months old.
3. Alerts You can set specific alerts to automate your trading or get notified instantly. Main Stop Breached: Fires when price closes below your trailing stop line. MTF High Cross: Fires when price crosses under any of the enabled Intraday or HTF High levels (2H, 4H, 1W, 3M, etc.).
ninza999 ema trendThis is ultimate ema trend signail which allows you to make out visually and easily the trend as per ema . It turns green on bullih and turns red on bearish. It is best to use in combination with ninza999 bear bull indicator to get the best results .
Triple EMA + Key Levels [Scalping-Algo]TITLE: Triple EMA Day Trading System with Multi-Timeframe Support/Resistance Levels
DESCRIPTION:
📊 Overview
This indicator combines trend-following EMAs with key historical price levels to create a complete day trading toolkit. It helps traders identify trend direction while highlighting important support and resistance zones from multiple timeframes.
🎯 Purpose & Trading Application
Day traders often need to quickly assess:
1. Current trend direction (using EMAs)
2. Key price levels where reversals or breakouts may occur
This indicator solves both needs in one tool, reducing chart clutter from multiple indicators.
📈 How It Works
TREND IDENTIFICATION (EMAs):
- EMA 13 (Yellow): Fast EMA for short-term momentum and entry timing
- EMA 48 (Purple): Medium EMA for intraday trend direction
- EMA 200 (Red): Slow EMA for overall trend bias
Trading Logic:
- When price is above all 3 EMAs = Strong bullish bias
- When price is below all 3 EMAs = Strong bearish bias
- EMA crossovers signal potential trend changes
- The 13/48 crossover is particularly useful for intraday entries
SUPPORT & RESISTANCE LEVELS:
- Previous Day High/Low (Green, Solid): Most recent daily range - high probability reaction zones
- 2-Day High/Low (Blue, Dashed): Extended lookback for stronger levels
- Previous Week High/Low (Orange, Dotted): Major institutional levels
Why These Levels Matter:
Previous day and weekly highs/lows are watched by many traders and algorithms. Price often:
- Reverses at these levels (support/resistance)
- Accelerates through them (breakout trades)
🔧 How To Use
FOR TREND TRADING:
1. Identify bias using EMA stack (all 3 aligned = strong trend)
2. Look for pullbacks to EMA 13 or 48 for entries
3. Use key levels as profit targets
FOR REVERSAL TRADING:
1. Watch for price approaching previous day/week levels
2. Look for rejection candles at these levels
3. Use EMA 13 break as confirmation
FOR BREAKOUT TRADING:
1. Identify consolidation near key levels
2. Enter on break of level with volume
3. Use opposite level as target
⚙️ Settings
All parameters are fixed for simplicity:
- EMAs: 13, 48, 200 periods
- Levels: Previous Day, 2-Day, Previous Week
- All lines thickness: 2
📝 Notes
- Best used on intraday timeframes (1min to 1hour)
- Levels update automatically each day/week
- Labels on right side identify each level (PDH, PDL, 2DH, 2DL, PWH, PWL)
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TAGS: ema, daytrading, support, resistance, levels, intraday, trend, scalping, swingtrading
Algoat_Alpha Composite Fear & GreedMarket sentiment is often noisy. We engineered a way to silence the noise.
The Algoat_Alpha Composite Fear & Greed Index is a structural sentiment engine designed for the modern trader. While standard indicators often lag or react too quickly to volatility, this tool solves the "Single Point of Failure" problem by aggregating four distinct market dimensions into a single, high-fidelity score (0-100).
Whether you are tracking liquidity grabs on CRYPTOCAP:BTC , structural shifts on CRYPTOCAP:SOL , or macro cycles on AMEX:SPY , this tool provides a normalized, algorithmic view of market psychology.
THE COMPOSITE ENGINE (METHODOLOGY)
To generate a reliable "Alpha" score, this script does not rely on a single input. Instead, it filters price action through a logic gate of Momentum, Volume, and Volatility.
RSI (Momentum): Establishes the baseline velocity of the move.
MFI (Volume Integrity): We fuse momentum with volume. If price pushes into "Greed" but volume (MFI) diverges, the Composite Score remains suppressed, filtering out weak structure and "fakeouts."
%B (Bollinger Volatility): Measures statistical extension. This distinguishes between a healthy trend and a statistically anomalous "Blow-off Top" (Extreme Greed).
CCI (Deviation): A custom normalization algorithm clamps the typically unbounded CCI to a 0-100 scale to detect standard deviation extremes.
FRACTAL TIMEFRAME LOGIC
This engine is Timeframe Agnostic, allowing for multi-dimensional analysis:
Intraday (1m - 15m): Identify micro-cycle exhaustion and liquidity sweeps.
Swing (1H - 4H): Gauge trend strength and mid-term sentiment shifts.
Macro (Daily - Weekly): Locate structural tops (Extreme Greed) and capitulation bottoms (Extreme Fear).
KEY FEATURES
1. Pine Screener Integration (Alerts):
This is a "Scanner-First" tool. It broadcasts 5 distinct alert signals, allowing you to filter the entire market for psychological anomalies using the TradingView Screener.
Extreme Fear (<25): Detects statistical oversold conditions often associated with capitulation.
Extreme Greed (>75): Detects statistical overextension often associated with euphoria.
2. The HUD Dashboard A clean, algorithmic overlay designed to keep your chart uncluttered:
Real-Time Score: Instant 0-100 reading.
Trend Context: Displays Previous Bar, 7-Day Average, and 30-Day Average to visualize sentiment momentum.
Smart Tooltips: Hover over any element for a detailed breakdown of the metric.
INTERPRETING THE ZONES
Zone 0-25 (EXTREME FEAR): Market is statistically oversold on high volume. Historically, this aligns with "Value" zones where Smart Money may be accumulating.
Zone 75-100 (EXTREME GREED): Market is overextended relative to volatility bands. Historically, this aligns with "Premium" zones where distribution may occur.
Sentiment is fractal. NASDAQ:TSLA might be showing "Greed" on the Daily while showing "Fear" on the 15m. Check the score for your asset on multiple timeframes—are they aligned or diverging?
Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
Options - Iron Fly ChartUse this to keep track of your iron fly. track on chart without needing to switch between Tradingview and broker tab.
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.
Order Blocks & Breaker BlocksOrder Blocks & Breaker Blocks
Enhance your trading with this advanced indicator that highlights Bullish and Bearish Order Blocks (OBs) and Breaker Blocks on any chart. It is designed to help traders quickly identify key supply and demand zones and potential reversal points with clear visual cues.
Key Features
Automatically highlights Bullish and Bearish OBs.
Detects Breaker Blocks when OB levels are violated, signaling potential trend shifts.
Fully customizable visuals:
Box and Breaker Box transparency
Line transparency, width, and style (Solid, Dashed, Dotted)
Option to calculate OBs using candle body or high/low.
Adjustable number of recent OBs displayed.
Recommended Settings by Timeframe
Timeframe Swing Lookback Show OBs Notes
5 min 10 3 For fast intraday trading and scalping.
15 min 12 3 For intraday trend analysis
1H 15 3 Ideal for intraday support/resistance and breakout detection.
4H 22 3 Captures stronger OBs for swing trades.
Daily 22 3 Highlights major supply and demand zones for trend trading.
Weekly 30 2 Focuses on long-term OBs for strategic analysis.
These values provide a good balance of accuracy and chart clarity across all timeframes.
Why Use This Indicator
Quickly visualize key supply and demand zones.
Identify potential reversals and breakout points.
Improve trade timing and risk management with enhanced visual clarity.
Works across all major timeframes, making it suitable for intraday, swing, and long-term traders.
CPR PROCPR Pro - Central Pivot Range Indicator
A complete CPR trading toolkit with multi-timeframe support.
█ FEATURES
- CPR Zone (TC, BC, PP) - Daily, Weekly, or Monthly
- Support & Resistance Levels (S1-S3, R1-R3)
- Virgin CPR Detection - Highlights untested CPR zones (yellow)
- CPR Width Analysis - Narrow (breakout) vs Wide (range) days
- VWAP with 10 anchor options
- Trend EMA
- Dashboard with real-time bias & levels
- Customizable colors per timeframe
█ HOW TO USE
- BULLISH: Price above CPR - look for longs
- BEARISH: Price below CPR - look for shorts
- VIRGIN CPR: Untested zones = strong magnets
- NARROW CPR: Expect breakout day
- WIDE CPR: Expect range day
█ COLORS
- Daily CPR: Blue
- Weekly CPR: Green
- Monthly CPR: Orange
- Virgin CPR: Yellow
Williams Volatility Channel (Full Range Breakout)Overview
This indicator implements a volatility breakout system inspired by legendary trader Larry Williams. It plots daily breakout levels calculated as the previous day’s close ± the full previous day’s range (high – low). These levels act as extreme volatility expansion thresholds:
- Upper Level: Previous close + previous day’s range
- Lower Level: Previous close – previous day’s range
A price move beyond these levels signals a strong directional breakout driven by expanded volatility — a classic Larry Williams concept for identifying potential trend continuation or acceleration days.
This version uses the full prior range (multiplier = 1.0), making it more aggressive than Williams’ original examples (which often used smaller fractions like 0.25–0.5 × range). It is particularly useful on instruments with clear daily sessions and visible overnight gaps or volatility spikes.
Key Features
Daily breakout levels plotted as horizontal lines that update at the start of each new trading day.
Optional semi-transparent fill between upper and lower levels for better visual channel perception.
Subtle background shading on the first bar of each new day and new week for easier time orientation.
Configurable colors and visibility toggles.
Generic session duration input (informational only) to help estimate candles per day on non-standard markets (e.g., European indices ≈ 8.5h, US stocks ≈ 6.5h, crypto ≈ 24h).
How to Use the Indicator
Breakout Signals
Bullish Breakout: Price closes or sustains above the Upper Level → potential strong upward momentum. Consider long entries or adding to existing longs.
Bearish Breakout: Price closes or sustains below the Lower Level → potential strong downward momentum. Consider short entries or adding to existing shorts.
These breakouts often occur on news events, earnings, or when the market “wakes up” after low-volatility periods.
Trend Confirmation
Use the direction of the breakout to confirm the prevailing trend: In an uptrend, focus primarily on upside breakouts.
In a downtrend, focus primarily on downside breakouts.
Breakouts against the trend can signal potential reversals (use with caution and additional confirmation).
Support & Resistance
Once price has broken a level, that level often flips role: A broken Upper Level can act as support on pullbacks.
A broken Lower Level can act as resistance on bounces.
Risk Management
Place stops beyond the opposite level or use ATR-based stops.
Consider partial profit-taking at 1× or 2× the prior day’s range from entry.
Best Markets & Timeframes
Works well on: Stock indices (DAX, FTSE MIB, CAC, S&P 500 futures, etc.)
Individual stocks
Commodities and futures with defined daily sessions
Cryptocurrencies (adjust session hours to 24 for continuous markets)
Recommended intraday timeframes: 5–60 minutes. On higher timeframes (4H, daily), the levels still appear but are less frequently tested intraday.
Important Notes
This is a trend-following / momentum tool, not a mean-reversion or gap-fading strategy (unlike Larry Williams’ famous “OOPS” pattern).
False breakouts can occur in low-volatility or ranging markets — always use additional confluence (volume, trend filters, higher-timeframe context).
The session duration input is informational and allows definition of how many candles per day should be used in the calculation.
This indicator provides a clean, visually intuitive way to spot high-volatility breakout opportunities based on one of Larry Williams’ timeless volatility concepts. Add it to your charts and combine it with your existing trading system for enhanced entry timing on strong momentum days.
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
Institutional Z-Score Pro
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INSTITUTIONAL Z-SCORE PRO v1.0
Professional Mean Reversion & Momentum Indicator
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SUBTITLE:
Professional Z-Score indicator with 4 calculation methods, regime detection, MTF analysis, quadrant statistics, and win rate tracking. Used by institutional traders.
🎯 OVERVIEW
The Institutional Z-Score Pro transforms traditional Z-Score analysis into a
professional-grade trading system used by quantitative hedge funds and
institutional traders. This indicator identifies statistical extremes, measures
momentum shifts, and provides probability-based edge calculations across
multiple timeframes and market regimes.
Unlike basic Z-Score indicators, this version incorporates robust statistical
methods, adaptive calculations, regime detection, and comprehensive performance
tracking to give you the edge professional traders use.
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✨ KEY FEATURES
📊 FOUR Z-SCORE CALCULATION METHODS:
• Standard (SMA/StdDev) - Traditional approach
• Robust (MAD) - Median Absolute Deviation for outlier resistance
• Exponential (EWMA) - Faster adaptation to trends
• Volume-Weighted - Institutional footprint tracking
🔄 ADAPTIVE TECHNOLOGY:
• Volatility-adjusted lookback periods
• Regime-aware threshold adjustments
• Dynamic smoothing based on market conditions
🎭 REGIME DETECTION SYSTEM:
• ADX-based trend classification (Uptrend/Downtrend/Range)
• Volatility regime identification (High/Normal/Low Vol)
• Adaptive thresholds for different market conditions
📈 MULTI-TIMEFRAME ANALYSIS:
• Higher timeframe Z-Score overlay
• MTF trend alignment indicators
• Cross-timeframe confirmation signals
📊 ADVANCED QUADRANT ANALYSIS:
• Real-time position tracking (4 quadrants)
• Win rate calculation per quadrant
• Average return per quadrant
• Distribution percentage analysis
• Expected value calculations
📉 PERCENTILE RANKING:
• Historical context (252-day rolling)
• Current Z-Score percentile position
• Extreme move identification
🎨 PROFESSIONAL VISUALIZATION:
• Color-coded Z-Score plot by regime
• Momentum histogram (Z-Change)
• Standard deviation bands (±1σ, ±2σ)
• Dynamic extreme zones
• Filled probability zones
• Two comprehensive data tables
🔔 SIX ALERT CONDITIONS:
• Extreme Overbought/Oversold
• Long/Short Reversal Signals
• Bullish/Bearish Momentum Confirmation
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🔬 METHODOLOGY
WHAT IS Z-SCORE?
Z-Score measures how many standard deviations a value is from its mean. In
trading, it identifies statistical extremes:
• Z > +2: Price is 2 standard deviations above average (overbought)
• Z < -2: Price is 2 standard deviations below average (oversold)
• Z near 0: Price is near its average (neutral)
ROBUST Z-SCORE (MAD METHOD):
Instead of simple mean/standard deviation (susceptible to outliers), the MAD
(Median Absolute Deviation) method uses:
• Median instead of mean (more robust)
• MAD instead of standard deviation (outlier resistant)
• Used by quantitative hedge funds for options pricing
VOLUME-WEIGHTED Z-SCORE:
Gives more weight to high-volume bars, revealing institutional activity:
• VWAP-based calculation
• Identifies smart money moves
• Better for options and derivatives trading
ADAPTIVE LOOKBACK:
Automatically adjusts calculation period based on volatility:
• High volatility → Shorter lookback (more responsive)
• Low volatility → Longer lookback (more stable)
• Reduces false signals across market conditions
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📊 QUADRANT ANALYSIS EXPLAINED
The indicator tracks momentum changes through 4 quadrants:
Q1 (Z+, ΔZ+) → Strong Uptrend ⬆⬆
• Both Z-Score and momentum positive
• Trend continuation signal
• Best in trending up markets
Q2 (Z+, ΔZ-) → Potential Top ⬇
• Overbought but momentum fading
• Mean reversion setup
• Best in ranging markets
Q3 (Z-, ΔZ-) → Strong Downtrend ⬇⬇
• Both Z-Score and momentum negative
• Trend continuation signal
• Best in trending down markets
Q4 (Z-, ΔZ+) → Potential Bottom ⬆
• Oversold but momentum improving
• Mean reversion setup
• Best in ranging markets
The table shows COUNT, %, AVERAGE RETURN, and WIN RATE for each quadrant,
allowing you to identify which setups have the best historical edge.
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🎯 HOW TO USE
STEP 1: CHOOSE YOUR Z-SCORE METHOD
• Stocks/Forex: Standard or Exponential
• Crypto/Volatile: Robust (MAD)
• Options/High Volume: Volume-Weighted
STEP 2: CONFIGURE TIMEFRAMES
Current TF → Recommended HTF:
• 5min → 1H
• 15min → 4H
• 1H → 1D
• 4H → 1W
• 1D → 1W
STEP 3: UNDERSTAND THE REGIME
Watch the regime indicator in the table:
• UPTREND: Use Q1 signals (trend continuation)
• DOWNTREND: Use Q3 signals (trend continuation)
• RANGE: Use Q2/Q4 signals (mean reversion)
STEP 4: WAIT FOR ALIGNMENT
Best trades occur when:
✓ Z-Score extreme (>2 or <-2)
✓ Momentum confirming (Z-Change aligned)
✓ Correct regime (trending vs ranging)
✓ MTF alignment (same direction on higher TF)
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💼 TRADING STRATEGIES
🔵 STRATEGY 1: MEAN REVERSION (Ranging Markets)
Entry Conditions:
• Market Regime: Range (ADX < 25)
• Z-Score < -2 (oversold)
• Z-Change > 0 (momentum turning positive)
• Quadrant: Q4
• MTF: Not in strong downtrend
Entry: Long when all conditions met
Stop: Below recent low or -1.5 ATR
Target: Z-Score = 0 (mean)
Expected: 55-60% win rate
🔴 STRATEGY 2: TREND CONTINUATION (Trending Markets)
Entry Conditions:
• Market Regime: Uptrend (ADX > 25)
• Z-Score > 0 (above average)
• Z-Change > 0 (positive momentum)
• Quadrant: Q1
• MTF: Bullish aligned
Entry: Long pullbacks to +1 Z-Score
Stop: Below 0 Z-Score
Target: Trail with +2 Z-Score
Expected: 60-65% win rate
🟡 STRATEGY 3: EXTREME FADE (High Probability)
Entry Conditions:
• Z-Score > 3.0 (extreme overbought)
• Percentile Rank > 95%
• Volume: High
• Z-Change: Negative (momentum fading)
Entry: Short on first Z-Change < 0
Stop: Above recent high
Target: Z-Score = +1
Expected: 65-70% win rate
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⚙️ SETTINGS GUIDE
CORE Z-SCORE SETTINGS:
• Z-Score Length: 40 (default), 20-60 for faster/slower
• Source: 'close' for price, 'Returns' for % changes
• Z-Score Method: Start with 'Standard', try others for your asset
• Adaptive Lookback: Enable for automatic regime adjustment
• Smoothing Factor: 2.0 (higher = more smooth)
MULTI-TIMEFRAME:
• Enable MTF: Toggle on for confirmation
• Higher Timeframe: 3-5x your current timeframe
• Show MTF Alignment: Visual confirmation
REGIME DETECTION:
• Enable: Always recommended
• ADX Length: 14 (standard)
• Trend Threshold: 25 (lower = more trends detected)
• Volatility Length: 20
QUADRANT ANALYSIS:
• Lookback Bars: 100-500 (more = better statistics)
• Show Table: Display quadrant metrics
• Show Probabilities: Display win rates
VISUALIZATION:
• Show Bands: ±1σ, ±2σ reference levels
• Show Extreme Zones: Dynamic overbought/oversold
• Color by Regime: Visual regime identification
• Extreme Threshold: 2.5 (adjust per asset)
ADVANCED METRICS:
• Show Percentile: Historical ranking
• Percentile Length: 252 (trading days in year)
• Show Edge: Win rates and returns
ALERTS:
• Enable Alerts: Toggle on
• Alert Threshold: 2.0 (lower = more alerts)
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🔔 ALERT CONDITIONS
The indicator provides 6 built-in alert conditions:
1. EXTREME OVERBOUGHT: Z-Score > threshold
Use: Fade extremes, prepare for reversal
2. EXTREME OVERSOLD: Z-Score < -threshold
Use: Buy oversold, mean reversion setup
3. REVERSAL LONG SIGNAL: Oversold + momentum turning up
Use: High-probability long entries
4. REVERSAL SHORT SIGNAL: Overbought + momentum turning down
Use: High-probability short entries
5. MOMENTUM LONG: Strong uptrend confirmed
Use: Trend continuation longs
6. MOMENTUM SHORT: Strong downtrend confirmed
Use: Trend continuation shorts
To set alerts: Right-click chart → Add Alert → Select condition → Create
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📊 READING THE TABLES
QUADRANT TABLE (Top Right):
• Q1-Q4: Quadrant identifier
• Type: Z-Score and momentum direction
• Count: Number of occurrences
• %: Distribution percentage
• Avg Return: Mean return per quadrant (YOUR EDGE!)
• Win %: Win rate per quadrant (YOUR PROBABILITY!)
Focus on quadrants with:
✓ High win rate (>55%)
✓ Positive average return
✓ Current regime alignment
METRICS TABLE (Top Left):
• Current Z-Score: Real-time Z value
• Percentile Rank: 0-100% (95%+ = extreme)
• HTF Z-Score: Higher timeframe value
• MTF Alignment: Timeframe agreement
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🎓 BEST PRACTICES
✅ DO:
• Use regime filters (don't fight strong trends)
• Combine with volume analysis
• Respect multi-timeframe alignment
• Track your quadrant edge over time
• Use appropriate Z-Score method for your asset
• Set alerts for extreme moves
• Adjust thresholds per asset volatility
❌ DON'T:
• Trade against strong trends without confirmation
• Ignore regime indicators
• Use same settings for all assets
• Expect 100% win rate (no indicator guarantees this)
• Trade every signal (be selective)
• Ignore risk management
• Trade during major news events
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🎯 IDEAL FOR:
✓ Options traders (identifies statistical extremes)
✓ Mean reversion strategies
✓ Trend continuation confirmation
✓ Swing trading (multi-day holds)
✓ Day trading with proper timeframe selection
✓ Statistical arbitrage
✓ Quantitative trading approaches
✓ Risk-managed trading systems
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📚 ASSET-SPECIFIC RECOMMENDATIONS
STOCKS (S&P 500, Large Cap):
• Method: Standard or Exponential
• Length: 40-60
• Extreme Threshold: 2.5
• HTF: 4H or 1D
CRYPTOCURRENCY (BTC, ETH):
• Method: Robust (MAD)
• Length: 30-40
• Extreme Threshold: 3.0-3.5
• HTF: 4H or 1D
FOREX (EUR/USD, GBP/USD):
• Method: Standard
• Length: 40-50
• Extreme Threshold: 2.0-2.5
• HTF: 4H
COMMODITIES (Gold, Oil):
• Method: Volume-Weighted or Standard
• Length: 40-60
• Extreme Threshold: 2.5-3.0
• HTF: 1D
INDICES (SPX, NDX):
• Method: Volume-Weighted
• Length: 40-50
• Extreme Threshold: 2.5
• HTF: 4H or 1D
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⚠️ IMPORTANT NOTES
WHAT THIS INDICATOR DOES:
✓ Identifies statistical extremes
✓ Quantifies momentum changes
✓ Provides probability-based edge
✓ Adapts to market regimes
✓ Tracks historical performance
WHAT THIS INDICATOR DOESN'T DO:
✗ Guarantee profits (no indicator does)
✗ Replace risk management
✗ Work in all market conditions
✗ Account for fundamental events
✗ Predict black swan events
LIMITATIONS:
• Less effective during breaking news
• Requires sufficient historical data (100+ bars)
• Performance varies by asset and timeframe
• Not suitable for very low liquidity assets
• Should be combined with proper risk management
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🔧 TECHNICAL SPECIFICATIONS
• Pine Script Version: 6
• Overlay: No (separate pane)
• Max Bars Back: 500
• Real-time Calculation: Yes
• Repainting: No (confirmed bars only)
• MTF Security: Lookahead disabled
• Performance: Optimized for speed
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📖 FURTHER READING
To understand the statistical concepts:
• Z-Score and Standard Normal Distribution
• Median Absolute Deviation (MAD)
• Exponentially Weighted Moving Average (EWMA)
• Volume-Weighted Average Price (VWAP)
• Average Directional Index (ADX)
Trading Applications:
• Mean Reversion Strategies
• Statistical Arbitrage
• Quantitative Trading Systems
• Options Volatility Trading
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💡 TIPS & TRICKS
OPTIMAL USAGE:
1. Start with default settings
2. Observe for 50+ bars to build statistics
3. Analyze which quadrants perform best on your asset
4. Adjust extreme threshold based on volatility
5. Enable MTF for higher probability setups
6. Use alerts to catch opportunities
COMBINING WITH OTHER INDICATORS:
• RSI: Confirm overbought/oversold
• Volume: Validate signal strength
• Support/Resistance: Entry/exit levels
• Moving Averages: Trend confirmation
BACKTESTING TIPS:
• Review quadrant statistics after 100+ trades
• Focus on positive expectancy quadrants
• Adjust strategy based on regime performance
• Track win rate and average return separately
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🆘 TROUBLESHOOTING
ISSUE: No signals appearing
SOLUTION: Check if extreme threshold is too high, reduce to 2.0
ISSUE: Too many false signals
SOLUTION: Enable regime detection, increase threshold, enable MTF
ISSUE: Quadrant statistics all zero
SOLUTION: Wait for 100+ bars to accumulate data
ISSUE: HTF Z-Score shows N/A
SOLUTION: Ensure MTF is enabled and timeframe is valid
ISSUE: Win rates seem low
SOLUTION: Different market conditions favor different quadrants, analyze by regime
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📞 SUPPORT & UPDATES
For questions, suggestions, or bug reports:
• Comment below
• Message me directly
• Check for updates regularly
PLANNED ENHANCEMENTS:
• Machine learning integration
• Additional statistical methods
• Backtesting module
• Custom alert messages
• More regime types
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⚖️ DISCLAIMER
This indicator is for educational and informational purposes only. It should
not be considered financial advice. Trading involves substantial risk of loss.
Past performance does not guarantee future results. Always conduct your own
research and consider consulting with a licensed financial advisor before
making investment decisions.
The indicator provides statistical analysis and probability-based signals, but
cannot predict future price movements with certainty. Use proper risk
management, position sizing, and stop losses on all trades.
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🙏 CREDITS & ACKNOWLEDGMENTS
Statistical methods inspired by quantitative finance research and institutional
trading practices. Special thanks to the TradingView community for feedback
and suggestions.
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📊 VERSION HISTORY
v1.0 - Initial Release
• 4 Z-Score calculation methods
• Adaptive lookback periods
• Regime detection system
• Multi-timeframe analysis
• Quadrant analysis with statistics
• Percentile ranking
• 6 alert conditions
• Professional visualization
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🌟 If you find this indicator useful, please:
• Give it a like 👍
• Add to favorites ⭐
• Share with fellow traders 🔄
• Leave a comment with your feedback 💬
Thank you for using Institutional Z-Score Pro!
Happy Trading! 🚀📈
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#zscore, #mean #reversion, #momentum, #statistical analysis, #regime detection, #multi-timeframe, #quantitative, #institutional, #probability, #statistics, #overbought, #oversold,
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
Screener Ichimoku SignalScreener Ichimoku Signal for longer time frame charts. Not suitable for intraday
MACD Backtesting IndicatorThis Pine Script v5 indicator replicates TradingView's standard MACD with full backtesting capabilities. Traders can adjust all parameters (12,26,9 defaults) through inputs and see real-time performance metrics in the table. Buy/sell signals appear as labeled arrows, matching classic MACD crossover strategy while providing visual backtest results for strategy evaluation.
RS Rating (1-99)RS Rating
This indicator implements a Relative Strength (RS) rating for TradingView and is designed specifically to be used with the Pine Screener.
Concept
Relative Strength is calculated using weighted price performance over multiple time windows (approximately 3, 6, 9, and 12 months).
More recent performance is weighted more heavily, following well-established relative strength methodologies.
The resulting raw RS score is then compressed into a 1–99 scale, creating an intuitive and stable ranking metric.
Because TradingView scripts cannot rank a stock against the entire market universe, this indicator uses a behavioral proxy: the current RS score is mapped against its own historical distribution.
This produces RS values that behave similarly to widely used RS ratings, but it is not a true cross-sectional percentile rank.
IPO handling
RS Rating is not displayed until sufficient price history exists (default: ~9 months / 189 bars).
This avoids distorted RS values for newly listed stocks. IPOs are better evaluated using separate momentum, volume, or structure-based tools until they mature.
Interpretation (rule of thumb)
- RS ≥ 80 → strong relative performance
- RS ≥ 90 → leader
- RS ≥ 95 → very selective / top-tier
- RS Rating is best used as a ranking and confirmation tool, not as an entry signal.
Using RS Rating with TradingView Pine Screener
This indicator is designed to work directly with the TradingView Pine Screener (beta).
Setup
- Add the indicator to a chart
- Open Pine Screener
- Select this script as a filter source
- Use the plotted RS Rating (1–99) value for sorting or filtering
The screener reads the single plotted RS value and treats it as a sortable numeric column.
Typical screening workflows
Leader scan
Filter: RS Rating ≥ 90
Sort: Descending by RS Rating
Identifies stocks with sustained relative outperformance.
Broad strength scan
Filter: RS Rating ≥ 80
Useful for identifying emerging leaders or strong secondary names.
Top-of-universe view
No filter
Sort: Descending by RS Rating
Shows the strongest names within the selected universe.
Important notes on Pine Screener (beta)
The Pine Screener currently displays a limited number of results (approximately 100).
Symbols may be pre-sampled before filtering.
For larger universes, consider:
- splitting symbols to be scanned into multiple watchlists
Best practices
Use RS Rating to rank and prioritize candidates, not to time entries.
Combine RS with:
- price structure,
- volume behavior,
- overall market regime.
RS is most effective when used as part of a multi-factor screening process.
