Opening Range Manipulation DetectorBasic indicator that checks the 15m opening candle to see if it's a manipulation candle or not. You can use aq threshold of 20 to 25% for indices like NQ, ES, YM, or RTY.
Индикаторы и стратегии
Performance with Okuninushi Line Area Determinations**Performance Indicator with Market Structure Analysis**
Building upon TradingView's official Performance indicator, I've added a custom column to assess current market structure using my Okuninushi Line methodology, which visualizes the AB structure concept.
**What is the AB Structure?**
The AB structure identifies equilibrium levels based on recent price action. The Okuninushi Line calculates the 50% midpoint between the highest high and lowest low over a specified lookback period. In this implementation, I use a 65-day period on the daily timeframe (representing one quarter: 13 weeks × 5 trading days), though this is fully customizable.
**Market Structure Classification:**
- **Above Okuninushi Line** → "upper to okuni" → Price is in the **Premium Area** (bullish structure)
- **Below Okuninushi Line** → "down to okuni" → Price is in the **Discount Area** (bearish structure)
This additional column provides an instant visual reference for whether each asset is currently trading above or below its equilibrium level, complementing the traditional performance metrics with structural context.
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Mass Sentiment & Contrarian (Only Signals)
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📘 Contrarian Mass Sentiment Indicator Manual
This indicator is designed to identify moments of psychological exhaustion in the market. Its philosophy is "buy panic and sell euphoria."
1. Where and how is the data taken from?
The indicator analyzes three real-time data sources to filter the signals:
• Psychology (RSI): We use the Relative Strength Index (RSI) to measure the speed and change in price movements.
• If the RSI is very high (>70-75), the "mass" is overbuying (greed).
• If the RSI is very low (<25-30), the "mass" is overselling (panic).
• Price Action (Candlesticks): It is not enough for the RSI to be at an extreme. The indicator looks for reversal patterns (Hammer, Shooting Star, or Engulfing candlesticks). This confirms that the price has indeed found a top or bottom.
• Price Action (Candlesticks): It is not enough for the RSI to be at an extreme. The indicator looks for reversal patterns (Hammer, Shooting Star, or Engulfing candlesticks). This confirms that the price has actually found a top or bottom.
• Price Action (Candlesticks): • Market Effort (Volume): At "Strong" levels, the indicator requires volume to exceed its 20-period moving average. This identifies a volume climax, which typically marks the end of a move.
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2. User Manual: Signal Interpretation
The indicator classifies opportunities according to their probability of success:
A. Intensity Levels
Label Strength Meaning Suggested Action
F-VTA / F-CPA Strong Maximum euphoria/panic + Volume + Reversal candle. High probability signal. Look for immediate entry.
M-VTA / M-CPA Medium Standard overload level + Reversal candle. Solid technical confirmation. Trade in favor of the structure.
D-VTA / D-CPA Weak The RSI is just beginning to reverse from moderate levels. Early warning. Do not enter without confirmation using other tools.
B. Trade Execution (Contrarian)
1. Location: Wait for a label to appear. The best are the Strong (F) or Medium (M) lines.
2. Stop Loss: Always place it a few pips/points above the high of the signal candle (for selling) or below the low (for buying).
3. Take Profit: * Target 1: The mid-RSI level (50).
or Target 2: The opposite RSI band (if you sold at 70, aim to close at 30).
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3. Golden Tips
• Avoid sideways markets: In very narrow ranges, the RSI can give false signals ("wobbling"). Look for signals that occur after a clear and extended trend.
• Timeframes: The indicator is most reliable on 15-minute, 1-hour, and 4-hour timeframes. On the 1-minute timeframe, market "noise" can generate constant weak signals.
• Confluence: If you see an F-VTA (Strong Sell) signal right at a historical price resistance, the probability of success increases dramatically.
Gold DropGold Drop – Intraday Trading System (India Markets)
Gold Drop is a rule-based intraday trading strategy designed specifically for Indian index trading (BANKNIFTY / NIFTY), combining trend, momentum, strength, and fixed reference levels to deliver consistent and disciplined trade execution.
The system is built to avoid emotional trading, over-trading, and shifting levels during the session
BHUVANA Fib 50/61.8 Stairs with RR Targets Fib 50–61.8 Stairs with RR Targets (debug) automatically tracks the latest swing and draws a 50%–61.8% Fibonacci pullback zone as step-like “stairs.” From that zone it plots a planned trade framework: entry reference, stop/invalidation, and multiple Risk:Reward targets (e.g., 1R/1.5R/2R/3R).
What it’s for
Visualize the “buy/sell pullback” area (50–61.8) in trending moves
Standardize exits with RR targets instead of guessing
Quickly see when the swing/zone updates as structure changes
How to use (simple)
Wait for a clear impulse swing to form.
Let price retrace into the 50–61.8 zone.
Take entries only with your own trigger (reclaim / rejection / BOS).
Use the plotted stop and RR targets for management.
Inputs
Swing detection / lookback
RR multiples and target count
Show/hide stairs, labels, debug visuals
Important
This is a mapping tool, not a standalone signal. If you trade every touch of 50–61.8 without confirmation, you’ll get chopped. Debug version may show extra visuals and can repaint on swing updates. Not financial advice.
Highs & LowsIntroduction: This indicator marks highs and lows from the previous New York, Asian, and London sessions, including the daily high and low. It is made to be as user friendly/adjustable as possible.
It was designed around trading during the New York morning session, using the 1 hour and 1 minute(or similar) timeframes in conjunction.
Settings: Common settings for the cleanest viewing are as follows:
1 Hour Chart Settings:
Box #3 "Label Vertical Offset" to "18".
Box #4 "Label X Offset" to "2".
1 Minute Chart Settings:
Box #3 "Label Vertical Offset" to "2".
Box #4 "Label X Offset" to "0".
Note: Adjusting text to the darkest "black" setting may provide the best contrast.
Session Breakout TrackerThis indicator identifies breakout opportunities when price breaks previous session ranges, tracking 4 distinct breakout chains:
Asia → London (Primary Asia breakout during London session)
London → NY (London breakout during NY session)
NY → Asia (NY breakout during next Asia session)
Asia → NY* (Fallback Asia breakout during NY if Chain 1 had no breakout)
For each breakout, it measures the maximum distance price travels before hitting your defined stop-loss, providing exact pip/point calculations.
Features :
Automatic session detection (Asia: 18:00-03:00, London: 03:00-12:00, NY: 12:00-18:00 NYT)
Complete session range tracking - high/low for each session
Session level plotting with adjustable transparency
User Inputs :
Adjustable pip multiplier (0.0001 for Forex, 0.01 for JPY pairs)
Customizable stop-loss distance in pips
Toggle labels/table/session levels independently
Adjustable session duration for optimizing strategies and back testing
BTC - AUI 1: Macro Sentiment & On-Chain CompositeBTC - AUI 1: Macro Sentiment & On-Chain Composite | RM
Overview & Philosophy The AUI 1 ( Another Ultimate Indicator, Volume 1 ) is a 10-pillar quantitative composite designed to solve the "noise problem" in Bitcoin analysis. Most traders fail because they rely on a single metric in isolation. The AUI 1 aggregates ten distinct dimensions of the network — from speculative flow to institutional extension — into a singular 0–100 score.
The 10-Pillar Quant Framework
Each pillar is mathematically normalized to a standardized 0 to 10 scale . The sum of these pillars creates the final 0–100 index:
1. BEAM (Adaptive Logarithmic Multiple)
• Method: Log-deviation from the 4-year cycle mean.
• Logic: Measures price distance from its fundamental growth curve.
(Credit: BitcoinEcon)
2. MVRV Z-Score (Statistical Distance)
• Method: Standard deviations between Market Cap and Realized Cap.
• Logic: Identifies historical "Fair Value" vs. "Bubble" extremes.
(Credit: M. Mahmudov & D. Puell)
3. Metcalfe’s Law (Network Utility)
• Method: Logarithmic scaling of Active Addresses.
• Logic: Ensures price growth is supported by actual user adoption.
(Credit: T. Peterson)
4. RHODL Proxy (Speculative Flow)
• Method: Supply rotation intensity between HODLers and New Money.
• Logic: Cycle peaks are defined by "Old Money" distributing to "New Money."
(Credit: Philip Swift)
5. AXIS Momentum (Structural Trend Intensity)
• Method: Dual-speed Rate of Change (RoC) fusion engine.
• Logic: Identifies the acceleration and "torque" of the macro trend.
(Credit: Rob_Maths)
6. Mayer Multiple (Institutional Extension)
• Method: Raw distance from the 200-day SMA.
• Logic: Tracks the primary anchor used by institutional mean-reversion desks.
(Credit: Trace Mayer)
7. Unrealized Profit (Financial Pressure)
• Method: Absolute MVRV Ratio mapping.
• Logic: Measures the financial "stress" or "greed" held by the average holder.
8. Retail Participation (Psychology Proxy)
• Method: Inverted Log-Average Transaction Size (USD).
• Logic: Declining transaction sizes historically signal retail FOMO (Euphoria).
9. Volatility Overextension (Structural Risk)
• Method: 30-day Standard Deviation relative to the mean.
• Logic: High-intensity volatility clusters often precede cycle trend-shifts.
10. Macro RSI (Cycle Maturity)
• Method: High-timeframe momentum saturation levels.
• Logic: Identifies the statistical "Buying Exhaustion" of a macro move.
(Credit: J. Welles Wilder Jr.)
How to Read the AXIS Quadrants
The AUI 1 uses a Seamless Heatmap to categorize the market into four specific macro regimes:
❄️ 0–25: FROZEN (Deep Blue) Maximum Opportunity. Structural capitulation where only long-term conviction remains. Historically the "Generational Wealth" window.
🔵 25–50: DISCOUNT (Light Blue to Gray) Value Accumulation. The market is cooling down; risk is mathematically low, and the network is building a structural floor.
🟠 50–75: EXPANSION (Gray to Orange) Trend Acceleration. Healthy bullish growth supported by network utility and positive momentum.
🔥 75–100: SCORCHED (Orange to Deep Red) Terminal Euphoria. Maximum Risk zone. Speculative FOMO is at its peak; the market is fundamentally overextended.
The Orange Signal Line
To filter short-term noise, the AUI 1 includes a Signal Smoothing Line (Parametrizable).
• Cycle Confirmation: Index Bars crossing above the Signal Line indicates trend acceleration.
• Peak Confirmation: If the Index Score rolls over and breaks below the Signal Line while in the SCORCHED zone, the cycle peak is likely confirmed.
Credits & Data Built by Rob_Maths (2025) using on-chain frameworks from Glassnode and IntoTheBlock. Special recognition to the pioneers: Murad Mahmudov, David Puell, Philip Swift, Trace Mayer, and Timothy Peterson.
Strategic Recommendation: For the most accurate macro cycle signals and to filter daily market noise, it is strongly recommended to use this indicator on the Weekly (1W) timeframe.
⚠️ Data Requirement Note: This quantitative composite utilizes professional on-chain data feeds, specifically GLASSNODE:BTC_ACTIVEADDRESSES , GLASSNODE:BTC_ACTIVE1Y , and INTOTHEBLOCK:BTC_MVRV . A TradingView paid plan (Essential or higher) may be required to access these institutional data streams.
Disclaimer This script is for macro-economic research purposes. It is a probabilistic model, not a crystal ball. Past performance is not a guarantee of future results.
Tags:
bitcoin, btc, on-chain, macro, composite, mvrv, rhodl, momentum, index, valuation, active-addresses, cycles, sentiment, risk, AUI, Rob Maths
Dynamic EMA Trend Table [Customizable]Overview
The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance.
How It Works
This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status:
Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable).
Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable).
This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors).
Key Features
Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings).
Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution.
Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart.
Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below.
Settings & Configuration
Price Source: Select Close, High, Low, etc. (Default is Close).
Table Position & Size: Customize where the dashboard appears.
EMA Lengths: Set your 5 preferred lookback periods.
Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly).
Use Case Example
Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering.
Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD
A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart.
There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs...
Core Functionality
The indicator calculates and displays several analytical layers simultaneously:
Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances.
Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected.
Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure.
Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap.
Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin.
Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa.
Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD.
Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field.
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Visual Components
Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility.
Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect.
Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level.
Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility.
Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows.
Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35).
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HUD Console Metrics
The right-side HUD displays seven key metrics:
Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced.
Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral.
Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive.
Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise.
Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned.
PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55).
FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected.
Pearlscent Color with Volume Heatmap.
Parameters and Settings
Microstructure Engine:
Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period
Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection
Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance
Smart Money Layer:
Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations
Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold
Structural Mapping:
Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection
Structure Memory: 2-8 levels (default: 4) - Number of structure points to track
Volume Heat Projection:
Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile
Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands
Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes
Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes
Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display
Iridescent Enhancements:
Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic
Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation
Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width
Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation
Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage
FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active
Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart
FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes
Peer Momentum Heatmap:
Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD")
Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D")
PMH RSI Length: 5-50 periods (default: 14)
PMH StochRSI Length: 5-50 periods (default: 14)
PMH StochRSI Smooth: 1-10 periods (default: 3)
Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection
Clarity & Readability:
Liquidity Void Opacity: 5-90% (default: 30%)
Smart Money Footprint Opacity: 5-90% (default: 35%)
HUD Background Opacity: 40-95% (default: 70%)
Iridescent Field:
Field Opacity: 20-100% (default: 86%) - Background color intensity
Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient
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Alerts
The indicator provides seven alert conditions:
Liquidity Void Detected - Triggers when void conditions are met
Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio
Smart Money Activity - Triggers when accumulation or distribution detected
Price/Volume Divergence - Triggers when divergence conditions occur
Structure Shift - Triggers when structure polarity changes significantly
PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled)
PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled)
Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled)
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Usage Considerations
Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns.
The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance.
FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage.
Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background.
The indicator is designed for overlay display. All visual elements are positioned relative to price action.
Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently.
Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features.
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Technical Notes
Built on Pine Script v6 with dynamic request capability for PMH functionality.
Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness.
Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation.
Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions.
Box management includes automatic cleanup of expired boxes to maintain performance.
All visual elements use color gradients and transparency for smooth blending with price action.
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Customization Examples
Intraday Scalping Setup:
Analysis Depth: 30 bars
Heat Map Lookback: 100 bars
FVG Persistence: 150 bars
PMH Window: 15 bars
Fast color shift speed: 0.5+
Macro Structure Tracking:
Analysis Depth: 100+ bars
Heat Map Lookback: 300+ bars
FVG Persistence: 500+ bars
Structure Memory: 6-8 levels
Slower color shift speed: 0.2
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Limitations
Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values.
PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data.
FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes.
Structure lines connect points but do not predict future structure. They reflect historical pivot relationships.
Color themes are aesthetic choices and do not affect calculation logic.
The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions.
Open Source
This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs.
For questions, suggestions, or anything please talk to me in private messages or comments below!
Would love to help!
- officialjackofalltrades
BTC - Institutional Cost Corridor (Overlay)BTC - Institutional Cost Corridor | RM
Strategic Context
The approval of Spot Bitcoin ETFs on January 11, 2024, signaled the beginning of the "Institutional Era." Since then, price discovery has shifted from being purely retail-driven to being heavily influenced by massive, off-chain equity flows.
The Institutional Cost Corridor is an approach for a quantitative tool designed to solve the problem of "Institutional Blindness" by mapping the aggregate cost basis of Wall Street's entry. It allows for the identification of structural "gravity zones" where institutional capital is most likely to move from a state of profit into a state of defense.
The Methodology: Data Selection & Weighting
To ensure the output is statistically significant, the data engine focuses exclusively on the "Big 3" liquidity providers: BlackRock (IBIT), Fidelity (FBTC), and Bitwise (BITB). These three funds represent over 80% of total Spot ETF liquidity. A weighted ratio is applied (prioritizing BlackRock) to reflect the reality that a dollar flowing into IBIT has a significantly higher impact on market structure than a dollar in smaller, fragmented funds. This ensures the indicator follows the actual mass of institutional capital.
Recalculating the Shadow: Nominal Price & AUM
A common point of confusion is that Bitcoin ETFs have a completely different nominal price than Bitcoin itself (e.g., an IBIT share may trade at $50 while BTC is at $100,000). To solve this, the script does not look at the dollar price of the shares. Instead, it uses Assets Under Management (AUM) and Relative Performance Mapping . By calculating the percentage growth of the funds' underlying value since inception and projecting that growth onto the Bitcoin price axis, the script "re-scales" the institutional entry levels. This allows us to see exactly where Wall Street is "underwater" on a standard Bitcoin chart.
The Mathematical Foundations: Genesis vs. Anchored
The indicator utilizes two distinct mathematical approaches to triangulate the "Truth" of institutional positioning. These are not arbitrary assumptions, but forward-mapped models verified against professional financial benchmarks.
1. Conservative Floor (Genesis Mode)
• The Logic: This model uses a Cumulative Inflow VWAP . It treats every dollar that has entered the ETFs since Day 1 as part of a single, massive ledger.
• Scientific Justification: This approach maps to the "Fortress Zone" of early, high-conviction capital. Historical AUM performance data suggests that the largest influx of structural capital occurred during the launch phase of 2024. This logic identifies the Ultimate Floor —the level where the entire ETF cohort would flip to a net loss. In late 2025 research (e.g., Glassnode "True Market Mean"), this model consistently aligns with the deepest structural support of the bull cycle.
2. Wall Street Entry (Anchored Mode)
• The Logic: This model utilize a Relative Performance Anchor . It synchronizes the Bitcoin price on Launch Day with the growth performance of the ETF fund shares.
• Scientific Justification: This approach identifies the "Active Participant Basis." It reflects the entry price for the capital that fueled the most recent expansion cycles. It maps directly to the "Active Investors' Realized Price" cited by institutional research firms, identifying the immediate psychological "pain threshold" for the current market majority.
3. Institutional Mean (Hybrid Mode)
• The Logic: A 50/50 mathematical blend of the Conservative Floor and the Wall Street Entry .
• Justification: This is the "Equilibrium Zone." It serves as a neutral baseline by balancing early-stage "Genesis" conviction with late-cycle volatility. It represents the median cost basis of all current institutional holders.
4. The Shadow Corridor (Full Range)
• The Logic: Visualizes the entire spread between the Conservative Floor and the Wall Street Entry.
• Justification: The "Structural Support Cloud." Instead of a single price, it defines a regime . As long as Bitcoin remains above this cloud, the institutional trend remains in an "Expansion Phase." A re-entry into this corridor suggests a transition from a trending market into a value-accumulation phase.
Tactical Playbook: Scenario Logic
The Shadow Corridor (Full Range) visualizes the area between these two models, creating an "Institutional War Zone."
• Active Support Test: When price tests the Wall Street Entry (upper boundary), it indicates the active institutional majority is at breakeven. Expect significant defensive buying (bids) as funds protect their yearly performance reports.
• Deep Value Regime: Trading inside the Corridor is defined as a "Value Regime." This is where institutional accumulation historically absorbs retail capitulation.
• The Premium Trap: When the distance between price and the Corridor exceeds 35-40%, the market is "speculatively overextended," signaling a high probability of mean-reversion.
• Macro Breakdown: A Weekly (1W) candle closing below the Conservative Floor (lower boundary) signals a structural trend shift, indicating the majority of ETF-era capital is officially in a drawdown.
Operational Recommendation Best viewed on the Daily (1D) timeframe for macro structural analysis, providing the most reliable signal for institutional defense zones.
Tags: bitcoin, btc, etf, blackrock, ibit, institutional, cost-basis, vwap, macro, cycle, realized-price, Rob Maths
Cantillon Clean Moving Averages [Free]Overview Standard Moving Averages are static. The Cantillon Clean MA is dynamic. It automatically changes color based on price interaction, giving you an instant visual read on the trend health of the Short (20), Medium (50), and Long (200) term flows.
Features
Dynamic Coloring: Green when Bullish, Red when Bearish.
Smart Weighting: Uses Exponential Moving Averages (EMA) to react faster than standard SMAs.
Crossover Signals: Subtle "X" markers when the short-term trend flips.
Want the Real Institutional Trend? Moving averages lag. To track the True Institutional Cost Basis (Anchored VWAP) and statistical reversal points, you need the Cantillon Terminal .
Optimized Options Day Trading Script -Anurag Dec20-2025This indicator is a specialized Multi-Timeframe Trend & Regime System designed specifically for intraday trading on SPY, QQQ, and SPX. It is optimized for high-volatility execution (like 0DTE) by filtering out "choppy" low-probability conditions before they happen.
Unlike standard indicators that only look at the current chart, this script runs a background check on the 15-Minute Timeframe
Market Exhaustion [WavesUnchained]Market Exhaustion
Multi-oscillator exhaustion detector combining MFI + optional CCI, HTF bias, StochRSI timing, and a divergence engine with an Exhaustion Score (0-100).
CORE CONCEPT
- Detects exhaustion via regular divergences anchored on price pivots
- Scores each divergence (0-100) using 5 components
- Line width = quality, color = direction (never thicker than main line)
OSCILLATOR MODES
- MFI : Engine uses MFI only
- CCI : Engine uses CCI mapped to 0-100
- MFI+CCI : Both plotted, engine source selectable (MFI or CCI)
EXHAUSTION SCORE (0-100)
1. Sequence (Div 1/2/3...) - repeated attempts increase score
2. Fatigue - no new oscillator extreme over lookback
3. Formation Time - bars between pivots
4. Reaction - post-divergence bounce/drop vs ATR
5. Impulse - MFI/CCI delta + swing size
DIVERGENCE ENGINE
- Price-pivot anchored (LL/HH) with osc confirmation (HL/LH)
- OS/OB gating with dynamic zones + fallback to 20/80
- Tolerant direction checks (price + osc eps)
- Auto cleanup (max objects)
HTF CONTEXT
- Auto-HTF MFI bias label
- Optional HTF filter for signals
- Bias bonus (optional) for Exhaustion Score
SIGNALS & TIMING
- StochRSI timing + MFI zone confirmation
- Context + timing signals (L/S markers)
- Zone confirm bars
VISUALIZATION
- Color-coded MFI line (OB/OS/neutral)
- Optional CCI (mapped 0-100) line
- Divergence line width = quality, endpoint markers
- Optional mid-label with score
- Dynamic zones + optional fill
BEST USE CASES
- Reversal scouting at extremes
- Filtering weak swings
- 15M-4H swing exhaustion reads
- HTF bias + divergence confluence
Version: 1.0.0
Author: WavesUnchained
Pine Script: v6
king//@version=5
indicator("BTC_QQQ_Crown_Indicator", overlay=true)
// 1. MACD Numbers (8, 16, 11)
= ta.macd(close, 8, 16, 11)
// 2. Engulfing Candle Logic
bull = close < open and open < close and close > open
bear = close > open and open > close and close < open
// 3. Crown Signal Condition
crownBuy = bull and hist > hist
crownSell = bear and hist < hist
// 4. Drawing Crowns on Chart
plotshape(crownBuy, title="Buy_Crown", style=shape.labelup, location=location.belowbar, color=color.yellow, size=size.normal, text="👑 BUY", textcolor=color.black)
plotshape(crownSell, title="Sell_Crown", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.normal, text="👑 SELL", textcolor=color.white)
ORB 5 Min Break & Retest + Alerts By KhanORB 5-Minute Break & Retest Indicator
This indicator plots the high and low of the first 5-minute candle of the trading session (Opening Range). It then monitors price for a breakout above or below the ORB levels and triggers an alert when price retests the broken level and holds.
Designed to help identify high-probability ORB continuation setups with clear visual levels and TradingView alerts.
If you want, I can also:
Make it even shorter (1–2 lines)
Write a more detailed TradingView public script description
Add a usage guide (rules + best timeframe)
Disclaimer:
This is general information only and not financial advice. For personal guidance, please talk to a licensed professional.
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Shock Wave: EMA9 Slope / ATR (Normalized) for SPYShock Wave – EMA9 Slope Normalized by ATR (Fragility Gauge)
This indicator measures trend fragility, not direction.
Instead of relying on visual trendline angles (which change with zoom and chart scaling), this tool normalizes the slope of the 9-EMA by ATR, producing a scale-independent steepness metric that remains consistent across timeframes and zoom levels.
The goal is to identify late-stage acceleration and liquidity vulnerability — conditions where price is advancing faster than inventory can rebalance and the market becomes sensitive to forced liquidation.
What this indicator shows
Normalized EMA9 slope (ATR per bar)
An angle-like degree value derived from the normalized slope (for intuition only)
Background shading to highlight trend maturity / fragility
A compact table showing live readings on the chart
How to interpret
Green / low values (< ~0.30 ATR/bar): Healthy, sustainable trend
Orange / mid values (~0.30–0.40 ATR/bar): Late-stage acceleration
Red / high values (≥ ~0.45 ATR/bar): Fragile / liquidation-prone conditions
These thresholds are empirically derived from historical index behavior (e.g., SPY prior to 2018, 2020, 2022 volatility events).
Important notes
This is not a buy or sell signal
Red does not mean “short”
The indicator highlights risk asymmetry, not timing
Best used on higher timeframes (weekly) in conjunction with liquidity, inducement, and higher-timeframe structure analysis
Why use this
Markets often fail after strong trends, not because they are weak, but because they are crowded. This tool helps quantify when a trend has become structurally vulnerable, providing context for liquidity-based frameworks and macro risk management.
High/Low Tracker (Dual Sessions)VV4High and lows in 2 timeframes
16:00 -> 03:55
19:30 -> 02:55
Toggle on/off of
- Auto extending untill 09:25
- Live updating during price action
Configure linestyles, box styles
It is now displaying correctly for both CL and ES
Pre-Market + Daily + Weekly REGULAR HOURS 📦 Pre-Market + Daily + Weekly RTH Range Boxes
This indicator automatically plots Pre-Market, Daily, and Weekly range boxes based strictly on US Regular Trading Hours (RTH).
What it does:
Pre-Market Box (04:00–09:30)
Captures the full pre-market high and low, then projects the range forward from the RTH open.
Daily RTH Box (09:30–16:00)
Tracks the previous day’s regular session high and low and plots the range starting at 04:00 AM the next day.
Weekly RTH Box (Mon–Fri, 09:30–16:00)
Accumulates the full weekly RTH range and plots it at 04:00 AM on Monday.






















