COT Heatmap [invincible3]COT Heatmap
COT Heatmap is a professional Commitment of Traders dashboard designed to visualize historical positioning pressure between two selected markets, currencies, commodities, indices, or crypto futures. The indicator converts weekly COT positioning data into an easy-to-read heatmap table, allowing traders to compare Non-Commercial and Commercial positioning strength, extremes, long/short participation, and A-B spread pressure directly on the chart.
The tool is built for macro, forex, commodities, futures, and intermarket analysis. It can automatically detect the current chart symbol or allow the user to manually select Pair A and Pair B from a predefined COT market list.
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Main Features
Historical COT heatmap table
Auto symbol detection from the chart
Manual Pair A / Pair B selection
Futures Only or Futures + Options data mode
Non-Commercial, Commercial, or Both participant modes
Separate metric control for Pair A and Pair B
Historical weekly values displayed by date
Adjustable table size, position, start date, and number of periods
Heatmap coloring for fast visual interpretation
Optional A-B positioning spread columns
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Data Source
The indicator uses weekly COT data through PulseWire’s COT Library.
Available data modes:
Futures Only
Uses futures positioning data only.
Futures and Options
Uses combined futures and options positioning data.
The indicator uses Legacy COT report categories:
Non-Commercial Positions
Commercial Positions
Open Interest
All COT calculations are performed on the weekly timeframe.
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Participant Modes
The indicator supports three participant display modes:
Non-Commercial Only
Shows speculative positioning metrics.
Commercial Only
Shows hedger/commercial positioning metrics.
Both
Shows both Non-Commercial and Commercial metrics side by side.
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Core Positioning Formulas
For each selected market:
Open Interest
OI = Total Open Interest
Non-Commercial Net Position
NC Net = NC Long − NC Short
Commercial Net Position
Commercial Net = Commercial Long − Commercial Short
Long Change
Long Change = Current Long − Previous Week Long
Short Change
Short Change = Current Short − Previous Week Short
Net Change
Net Change = Long Change − Short Change
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Long% and Short% Formulas
The indicator normalizes long and short positions against open interest.
Long Percentage
Long% = Long Positions / Open Interest × 100
Short Percentage
Short% = Short Positions / Open Interest × 100
These values show how much of total open interest is held on the long or short side by a specific participant group.
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Flip% Formula
Flip% measures the net long/short bias as a percentage of open interest.
Flip%
Flip% = Long% − Short%
Interpretation:
Positive Flip% = participant group is net long
Negative Flip% = participant group is net short
Higher positive values show stronger bullish positioning
Lower negative values show stronger bearish positioning
Example:
If Non-Commercial Long% = 42%
and Non-Commercial Short% = 25%
Then:
NC Flip% = 42 − 25 = +17%
This means Non-Commercial traders are net long by 17% of open interest.
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Difference Metrics
The indicator compares Non-Commercial and Commercial net positioning.
Non-Commercial Difference
NC Difference = NC Net − Commercial Net
This measures how strongly speculative positioning differs from commercial positioning.
Commercial Difference
Commercial Difference = Commercial Net − NC Net
This is the inverse view, useful when analyzing commercial hedger pressure.
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Diff13 / Diff26 / Diff52 Formulas
The Diff columns are stochastic-style normalized scores of the positioning difference over different historical windows.
Stochastic Positioning Score
Stoch(X, Length) =
(X − Lowest(X, Length)) / (Highest(X, Length) − Lowest(X, Length)) × 100
If the range is zero, the value returns 50.
Where:
X = selected positioning series
Length = 13, 26, or 52 weeks
NC Diff13 *
NC Diff13 = Stoch(NC Difference, 13)
NC Diff26
NC Diff26 = Stoch(NC Difference, 26)
NC Diff52
NC Diff52 = Stoch(NC Difference, 52)
Commercial Diff13
Commercial Diff13 = Stoch(Commercial Difference, 13)
Commercial Diff26
Commercial Diff26 = Stoch(Commercial Difference, 26)
Commercial Diff52
Commercial Diff52 = Stoch(Commercial Difference, 52)
Interpretation:
Values near 100 show positioning is near the upper extreme of the selected lookback period
Values near 50 show neutral/mid-range positioning
Values near 0 show positioning is near the lower extreme of the selected lookback period
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COT Index Formulas
The COT Index measures where current net positioning stands relative to its own historical range.
COT Index
COT Index =
(Current Net Position − Lowest Net Position over N weeks) /
(Highest Net Position over N weeks − Lowest Net Position over N weeks) × 100
If the range is zero, the value returns 50.
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Non-Commercial COT Index
NC Index 52
NCIdx52 = Stoch(NC Net, 52)
This shows where current Non-Commercial net positioning stands within its 1-year range.
NC Index 156
NCIdx156 = Stoch(NC Net, 156)
This shows where current Non-Commercial net positioning stands within its 3-year range.
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Commercial COT Index
Commercial Index 52
ComIdx52 = Stoch(Commercial Net, 52)
This shows where current Commercial net positioning stands within its 1-year range.
Commercial Index 156
ComIdx156 = Stoch(Commercial Net, 156)
This shows where current Commercial net positioning stands within its 3-year range.
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A-B Spread Formulas
The indicator can also compare Pair A and Pair B positioning directly.
A-B Non-Commercial Flip%
A-B NC Flip% = Pair A NC Flip% − Pair B NC Flip%
A-B Commercial Flip%
A-B Commercial Flip% = Pair A Commercial Flip% − Pair B Commercial Flip%
Interpretation:
Positive A-B Flip% means Pair A has stronger positioning than Pair B
Negative A-B Flip% means Pair B has stronger positioning than Pair A
Useful for forex pair analysis, relative commodity analysis, and intermarket comparison
Example:
If EUR NC Flip% = +20%
and USD NC Flip% = +5%
Then:
EUR − USD NC Flip% = +15%
This suggests stronger speculative positioning in EUR relative to USD.
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Heatmap Color Logic
The table uses color gradients to make positioning extremes easy to identify.
For score-based columns such as Diff13, Diff26, Diff52, NCIdx52, NCIdx156, ComIdx52, and ComIdx156:
High values move toward the positive color
Mid-range values move toward the neutral color
Low values move toward the negative color
Default colors:
Positive: Blue
Neutral: Pink
Negative: Red
For Long% columns:
Higher Long% is treated as stronger
Lower Long% is treated as weaker
For Short% columns:
Higher Short% is treated as weaker
Lower Short% is treated as stronger
For Flip% columns:
The heatmap uses a signed scale.
Signed Heatmap Normalization
Normalized Flip Value =
(Flip% + Flip Scale) / (2 × Flip Scale)
The value is clamped between 0 and 1.
Default Flip Scale = 35%
This means:
+35% or above = strong positive color
0% = neutral color
−35% or below = strong negative color
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How to Read the Table
Each row represents one weekly COT snapshot.
The Date column shows the COT week.
Pair A and Pair B are displayed in separate grouped sections. Each section can include Non-Commercial metrics, Commercial metrics, or both, depending on user settings.
Important interpretation guidelines:
Diff13 / Diff26 / Diff52
Shows short-term, medium-term, and 1-year positioning extremes between Non-Commercial and Commercial groups.
NCIdx52 / NCIdx156
Shows whether speculative positioning is historically stretched or depressed.
ComIdx52 / ComIdx156
Shows whether commercial hedger positioning is historically stretched or depressed.
Long%
Shows the long-side participation as a percentage of open interest.
Short%
Shows the short-side participation as a percentage of open interest.
Flip%
Shows the net directional bias after subtracting short exposure from long exposure.
A-B Flip%
Shows relative positioning pressure between the two selected markets.
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Example Use Cases
Forex Analysis
Use Pair A and Pair B to compare currency futures positioning.
Example:
Pair A = EUR
Pair B = USD
This allows EUR/USD positioning analysis using COT data.
Commodity Analysis
Compare metals, energy, or agricultural markets.
Example:
Pair A = Gold
Pair B = Silver
This helps identify relative speculative or commercial positioning strength.
Index Analysis
Compare equity index futures.
Example:
Pair A = NASDAQ
Pair B = S&P 500
This can help identify relative risk appetite and index positioning rotation.
Macro Sentiment Analysis
Use Non-Commercial positioning to track speculative crowding and Commercial positioning to observe hedging pressure.
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Notes
COT data is weekly and is not designed for intraday signals. This indicator is best used as a macro positioning tool, sentiment confirmation tool, or higher-timeframe market context dashboard.
The heatmap does not generate direct buy or sell signals. Instead, it provides a structured view of positioning extremes, participant behavior, and relative strength between selected COT markets.
Extreme readings can remain extreme for long periods, so COT data should be combined with price action, trend structure, volatility, liquidity, and broader market context.
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Summary
COT Historical Heatmap transforms weekly Commitment of Traders data into a clean, customizable, and visually intuitive positioning dashboard. By combining Net Positioning, Long%, Short%, Flip%, COT Index, Difference Scores, and A-B relative spread analysis, it helps traders understand how Non-Commercial and Commercial participants are positioned across major futures markets.
Indicator
Open Interest Commitment Map [AGPro Series]Open Interest Commitment Map
🧠 Core Idea
Is open interest expansion actually committing with price, or is participation building without conviction?
📌 Overview / What it does
Open Interest Commitment Map is a crypto derivatives context tool designed to evaluate whether open interest expansion, contraction, price movement, volatility, and persistence are aligning into a meaningful market participation state.
The script attempts to read open interest data through configurable OI symbol builders, including Perp Contract OI, Chart Ticker + _OI, Dot-P + _OI, and Manual mode. When supported open interest data is available, it measures OI change, normalizes that change, compares it with price movement, and classifies the result into commitment states. If official open interest data is unavailable, it can fall back to a transparent Volume Proxy mode so the user knows exactly what data mode is being used.
It produces a projected commitment zone, state labels, right-side tags, alerts, and an AG Pro dashboard. It does not predict price direction, automate entries, or claim that open interest expansion must continue.
🎯 Purpose & Design Philosophy
This script was built because open interest is often discussed as if it has one simple meaning. In reality, rising open interest can support a trend, pressure a crowded side, reflect absorption, or become irrelevant without price confirmation.
The goal is to turn open interest into a readable commitment map rather than a raw number. The script asks whether participation is expanding, whether price is accepting that expansion, whether the behavior persists, and whether the current state deserves attention.
It is designed for crypto futures and perpetual traders who want to evaluate derivatives participation without relying on a simplistic “OI up equals bullish” or “OI down equals bearish” interpretation.
⚡ Why This Script Is Different
Most tools show open interest as a separate line or histogram.
This script does NOT treat open interest as a standalone signal, does NOT assume rising OI is automatically bullish, and does NOT hide data limitations when official OI is unavailable.
Instead, it maps OI behavior into structured states: Long Build, Short Build, OI Unwind, Absorption, Reset, or Data Missing. It combines OI change, normalized OI deviation, price movement in ATR units, trend acceptance, persistence, and volume rank into one visual commitment framework.
⚙️ Methodology
1. Context Detection
The script builds or reads the open interest source and checks whether official OI data is available.
2. Reference Mapping
Open interest change is measured over a configurable lookback and normalized against a longer historical window.
3. Reaction Evaluation
The model compares OI expansion or contraction with price movement, trend position, volatility, and persistence.
4. Visual Output
The final state is displayed through a projected commitment zone, state tags, event labels, and a compact AG Pro panel.
🗺️ How to Read the Chart
The commitment zone represents the active area where price and participation behavior are being monitored.
Labels mark key state transitions such as Long Build, Short Build, OI Unwind, and OI Absorption.
Colors communicate context:
• Teal = Long Build
• Pink = Short Build
• Yellow = OI Unwind
• Indigo = Absorption or neutral commitment context
• Light/neutral = Reset or Data Missing
The panel shows state, score, OI change, OI z-score, persistence, volume rank, direction, quality, data mode, OI source, and distance from the OI baseline.
🚦 Signals & States
• Long Build → open interest expands while price shows constructive acceptance
• Short Build → open interest expands while price shows bearish acceptance
• OI Unwind → open interest contracts meaningfully while price moves
• OI Absorption → open interest expands but price movement remains compressed
• Reset → no strong commitment state is active
• Data Missing → no usable open interest or proxy data is available
🔔 Alerts Logic
Alerts trigger when the script transitions into a selected commitment state.
Long Build alerts mark expanding participation with constructive price acceptance.
Short Build alerts mark expanding participation with bearish price acceptance.
OI Unwind alerts mark meaningful open interest contraction while price is moving.
OI Absorption alerts mark expanding open interest with limited price movement.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest read appears when multiple conditions align:
Open interest change + OI z-score + price movement + trend acceptance + persistence + volume rank.
When expansion appears without price progress, the context can shift from directional commitment to absorption. When contraction appears with price movement, the context can shift toward unwind behavior.
📊 When to Use
• Crypto perpetual and futures markets
• Symbols where PulseWire provides open interest data through `_OI`
• High-participation sessions where trader positioning may matter
• Breakout, breakdown, compression, and post-liquidation environments
• Situations where the user wants to distinguish commitment from noise
⚠️ When NOT to Use
• Symbols with no reliable open interest data when proxy mode is not desired
• Illiquid markets with unstable volume or fragmented data
• Very low timeframe noise without broader context
• Spot-only markets where open interest is not relevant
• Major news events where positioning can change faster than the model can stabilize
🎛️ Key Inputs
• OI Symbol Mode → controls whether the script uses Perp Contract OI, Chart Ticker + _OI, Dot-P + _OI, or Manual OI source selection
• Manual Open Interest Symbol → allows manual OI source selection if needed
• Allow Volume Proxy Fallback → uses transparent proxy mode when official OI is unavailable
• OI Baseline Length → controls the smoothing baseline for participation data
• OI Change Lookback → controls the change window for OI expansion or contraction
• OI Normalization Lookback → controls how unusual the OI change must be
• OI Commitment Z Threshold → defines the minimum normalized expansion required for commitment
• Visual Settings → control zone projection, event labels, right-side tags, and font sizes
🖥️ Interface & Visual Design
The interface is built around a clean commitment zone and a compact AG Pro panel.
The chart should feel active but not crowded. The projected zone gives the screenshot a visible story, right-side tags show the live state, and event labels highlight meaningful historical transitions.
The panel follows the AG Pro standard with a merged blue header row, adjustable location, adjustable theme, and adjustable font size.
🧪 Practical Usage Workflow
1. Apply the script to a crypto perpetual or futures chart.
2. Start with OI Symbol Mode set to Perp Contract OI.
3. Confirm the Data Mode row says Open Interest when official OI data is available.
4. If Data Mode says Volume Proxy, try Chart Ticker + _OI, Dot-P + _OI, or Manual mode before using the screenshot for publication.
5. Read the State and Score rows.
6. Inspect whether price and OI are building, unwinding, absorbing, or resetting.
7. Confirm the context with broader market structure, liquidity, volatility, and risk management.
🔍 Interpretation Guidelines
Rising open interest is not automatically bullish.
Falling open interest is not automatically bearish.
Open interest expansion becomes more meaningful when price movement and persistence support the same story.
Absorption can be important because participation is increasing without clean price progress.
Unwind can be important because positioning is contracting while price is moving.
🚫 What This Script Is NOT
This script is not a prediction engine.
This script is not financial advice.
This script is not an auto trading system.
This script is not a guaranteed signal engine.
This script does not guarantee official open interest data exists on every symbol.
This script does not claim that open interest expansion must continue or reverse.
⚠️ Limitations & Transparency
Official open interest availability depends on the symbol, exchange, and PulseWire data support.
If official OI data is not available and proxy fallback is enabled, the panel clearly shows Volume Proxy mode.
Volume Proxy is not the same as official open interest. It can still help visualize participation pressure, but it should be interpreted more cautiously.
Different exchanges, contract types, timeframes, and liquidity conditions can produce different open interest behavior.
🧠 Market Context Notes
Open interest can help traders think about participation, but it needs context.
Expansion with price acceptance may indicate commitment.
Expansion without progress may indicate absorption.
Contraction with movement may indicate unwind.
No single state removes uncertainty.
🧾 Use Case Examples
When OI expands and price accepts higher while trend context supports the move, the script may classify Long Build.
When OI expands and price accepts lower while trend context supports the move, the script may classify Short Build.
When OI expands but price remains compressed, OI Absorption can warn that participation is building without clean directional progress.
When OI contracts while price moves, OI Unwind can help identify positioning reduction.
🧱 System Philosophy
Open Interest Commitment Map follows the AGProLabs design principle of building decision-support maps rather than prediction tools.
The script is designed to organize participation context into a readable workflow: read the panel, inspect the zone, check the state, evaluate reaction, and confirm with broader structure.
🔐 Non-Promise Statement
No open interest model can guarantee future price direction.
No commitment score creates certainty.
This tool helps structure interpretation; it does not replace judgment.
📉 Risk Disclosure
Trading involves risk.
Crypto derivatives can be highly volatile and may involve leverage, liquidation risk, exchange risk, and rapid market movement.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use the script as a learning layer for understanding how participation, price movement, volatility, persistence, and open interest behavior can combine into a more complete derivatives-context read.
Indicator
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines — ZVOL ( volume anomaly detection ) and OBVX ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes optical tensegrity to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame.
🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets, Volumetric Tensegrity captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes.
🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate.
🧠 Core Logic - VTense separates and preserves two essential structural forces:
• ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior.
• OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off.
🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint.
🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points before price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation.
🪖 From Generals to Scouts
👀 When used jointly, ZVOL + OBVX act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a scout — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate.
🥂 Use the ZVOL + OBVX pair when :
• You need independent axis control and manual dissection
• You’re building long-form confluence setups
• You have more indicator slots than you need
🔎 Use VTense when :
• You need compact clarity across multiple instruments
• You’re prioritizing confluence _detection_ over granular separation
• You’re building efficient multi-layered systems under slot constraints
🏗️ Structural Behavior and Interpretation
🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline
🔵 Compression Coil – volume volatility is low and stable; the market is coiling
🟢 Steady Rhythm – volume is healthy but unremarkable; balanced participation
🟡 Passive/Absorbed Effort – expansion failing to manifest; watch for reversal
🟠 Clean Expansion – actionable volatility rise backed by structure
🔴 Volatile Blowout – chaos, climax; likely end-phase or fakeout
⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field.
🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves
🔑 The curvature of the spread reveals not just directional bias but crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision.
• Green Rising : Accumulation — upward pressure from real buyers
• Red Falling : Distribution — sell pressure, downward slope
• Flat Curves : Transitional → uncertainty, microstructure digestion
🎭 Synchronized vs Divergent Behavior
⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves.
• ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure
• ZVOL expands while OBVX steepens red = growing sell-side intent
🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps.
• ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment
⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release.
• ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy
• After prolonged drift, expect violent asymmetry when balance finally breaks
📚 Phase Interpretation: Dynamic Structural Read
• 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency
• 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension
• 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment
• 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal
💡 Suggested Use
• Run on 15m charts for breakout anticipation and 1H for validation
• Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase
• Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.)
• Ideal during low-volume regimes to detect pressure buildup before triggers
🧏🏻 Volumetric Tensegrity doesn’t signal. It breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction. Indicator
ICT Commitment of Traders° by toodegreesDescription:
The Commitment of Traders (COT) is a valuable raw data report released weekly by the Commodity Futures Trading Commission (CFTC). This report offers insights into the current long and short positions of three key market entities:
Commercial Traders ( usually represented in red )
Large Traders ( typically depicted in green )
Small Speculator Traders ( commonly shown in blue )
The concept of utilizing the COT data as a strategic trading tool was first introduced by Larry Williams, who emphasized the importance of monitoring Commercial Speculators – large corporate producers or consumers of commodities.
The Inner Circle Trader (ICT) prompts us to delve deeper into this data. While we can easily determine their Net Position (also referred to as the Main Program) by subtracting Commercial Short Positions from the Commercial Long Positions, this calculation doesn't reveal their ongoing Hedge Program .
Merely following the Main Program won't provide a trading edge. Aligning with the Hedge Program can be an invaluable weapon in your trading arsenal.
The Commercial Speculators' Hedge Program can be unveiled by examining the highest and lowest reading of their Net Position over a chosen time period and setting a new "zero line" between these extremes. This process generates a novel "COT Graph" providing a detailed understanding of the Commercial Speculators' current market activity.
When the Hedge Program, Seasonality, and Open Interest are cross-referenced with Institutional Orderflow, a trader can construct a very clear medium-to-long-term market narrative.
Features:
Access COT Data for the Commercial Speculators via Tradingview's reliable data source
Automate calculations and display the 3-month, 6-month, 12-month, 2-year, and 3-year Hedge Program
Define your own Custom Time Range for the Hedge Program
Display the Main Program and all Hedge Programs in an easy-to-understand table format
Additionally, by following the included instructions, you can augment your table with COT data from multiple markets. This extra information can help monitor correlated markets and develop a more robust market narrative:
Indicator
CoT Absolute Percent-Buschi
English
I'm often asked to provide an alternate view on the CoT data. For example, the indicator "Commercial index" is an oscillator from 0 to 100, but oftentimes it can be helpful to look at the absolute position. So, here the absolute position of certain parts of the CoT report are given, alongside with the percentage of a given time frame to put them in place.
The inputs are:
CoT Part Number ('1' for Commercials Short, '2' for Commercials Long, '3' for Commercials Netto, '4' for Large Speculators Short, '5' for Large Speculators Long, '6' for Large Speculators Netto, '7' for Small Speculators Short, '8' for Small Speculators Long, '9' for Small Speculators Netto, '10' for Open Interest)
Review Period (in years, just used for the percentage)
Percent Line 1, 2, 3, 4 (just to provide some lines which can be altered as required)
DISCLAIMER: I'm aware of Pine Script's ability to provide options as inputs (which would be much nicer for the CoT Parts). Alas, it is only available since version 3, and I noticed that for some reason the CoT data is not correctly adjusted to last Tuesday when using higher versions than 1. If someone knows a solution, please contact me.
Deutsch
Ich werde oft gefragt, eine alternative Sicht auf die CoT-Daten zu geben. Der Indikator "Commercial Index" zum Beispiel schwankt als Oszillator zwischen 0 und 100, aber oft kann der Blick auf die absolute Positionierung hilfreich sein. Also werden hier die Absolutpositionen verschiedene CoT-Bestandteile wiedergegeben, zusammen mit einer prozentualen Einteilung über eine vorgegebene Zeitspanne, um sie einordnen zu können.
The Eingaben lauten:
CoT Part Number ('1' Commercials Short, '2' Commercials Long, '3' Commercials Netto, '4' Large Speculators Short, '5' Large Speculators Long, '6' Large Speculators Netto, '7' Snall Speculators Short, '8' Small Speculators Long, '9' Small Speculators Netto, '10' Open Interest)
Review Period (Zeitintervall in Jahren, um die Prozentlinien zeichnen zu können)
Percent Line 1, 2, 3, 4 (um die Prozentlinien zur Verfügung zu stellen, die dann beliebig geändert werden können)
DISCLAIMER: Ich weiß über die Möglichkeit Bescheid, ab Pine Script Version 3 Optionen als Eingaben benutzen zu können (was deutlich angenehmer für die CoT-Bestandteile wäre). Leider habe ich gemerkt, dass die CoT-Daten bei Versionen über 1 leider nicht korrekt auf letzten Dienstag adjustiert werden, keine Ahnung warum. Falls jemand eine Lösung kennt, bitte kontaktieren. Indicator
Indicator
Range Force Impulse The "Range Force Impulse" indicator combines 4 useful indicators into one, freeing up chart real-estate and giving the trader insight into trend health, bull/bear commitment, range and volatility all at a glance.
The indicator consists of the following:
Direction - True Range and Average True Range columns shown above and below 0 depending on direction of the period's price
-- TR (gray) shows the current period's trading volatility
-- ATR (Impulse colors, see below) shows an EMA of TR over a specified length
-- Can be used to determine stops and targets (Example: Stop loss at prev close - ATR, Target at 2x ATR)
Index - Alexander Elder's EMA of (change(close) * volume), shows crosses above 0 (green) and below 0 (red), and intermediate signals
-- Shows bull vs. bear interest/commitment/dominance
-- Elder recommends EMA length of 2 for daily chart buy/sell signals, and 13 for weekly chart bull/bear dominance & trend direction signals
-- Intermediate signals are shown above 0 when falling (salmon), or below 0 when rising (pale yellow)
System - Range columns are colored using Alexander Elder's censorship system (green: do not short, red: do not long, blue: is up to you)
-- Shows overall trend health (Macd histogram and EMA up/down changes)
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