HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
Trendanalyse
Profitable Pair Correlation Divergence Scanner v6This strategy identifies divergence opportunities between two correlated assets using a combination of Z-Score spread analysis, trend confirmation, RSI & MACD momentum checks, correlation filters, and ATR-based stop-loss/take-profit management. It’s optimized for positive P&L and realistic trade execution.
Key Features:
Pair Divergence Detection:
Measures deviation between returns of two assets and identifies overbought/oversold spread conditions using Z-Score.
Trend Alignment:
Trades only in the direction of the primary asset’s trend using a fast EMA vs slow EMA filter.
Momentum Confirmation:
Confirms trades with RSI and MACD to reduce false signals.
Correlation Filter:
Ensures the pair is strongly correlated before taking trades, avoiding noisy signals.
Risk Management:
Dynamic ATR-based stop-loss and take-profit ensures proper reward-to-risk ratio.
Exit Conditions:
Automatically closes positions when Z-Score normalizes, or ATR-based exits are hit.
How It Works:
Calculate Returns:
Computes returns for both assets over the selected timeframe.
Z-Score Spread:
Calculates the spread between returns and normalizes it using moving average and standard deviation.
Trend Filter:
Only takes long trades if the fast EMA is above the slow EMA, and short trades if the fast EMA is below the slow EMA.
Momentum Confirmation:
Confirms trade direction with RSI (>50 for longs, <50 for shorts) and MACD alignment.
Correlation Check:
Ensures the pair’s recent correlation is strong enough to validate divergence signals.
Trade Execution:
Opens positions when Z-Score crosses thresholds and all conditions align. Positions close when Z-Score normalizes or ATR-based SL/TP is hit.
Plot Explanation:
Z-Score: Blue line shows divergence magnitude.
Entry Levels: Red/Green lines mark long/short thresholds.
Exit Zone: Gray lines show normalization zone.
EMA Trend Lines: Purple (fast), Orange (slow) for trend alignment.
Correlation: Teal overlay shows current correlation strength.
Usage Tips:
Use highly correlated pairs for best results (e.g., EURUSD/GBPUSD).
Run on higher timeframe charts (1h or 4h) to reduce noise.
Adjust ATR multiplier based on volatility to avoid premature stops.
Combine with alerts for automated notifications or webhook execution.
Conclusion:
The Profitable Pair Correlation Divergence Scanner v6 is designed for traders who want systematic, low-risk, positive P&L trading opportunities with minimal manual monitoring. By combining trend alignment, momentum confirmation, correlation filters, and dynamic exits, it reduces false signals and improves execution reliability.
Run it on TradingView and watch how it captures divergence opportunities while maintaining positive P&L across trades.
52 Week High LowPurpose
This indicator plots the rolling **52-week high and low price levels** to highlight long-term breakout zones, major support/resistance bands, and trend structure used by position and swing traders.
## How It Works
The script dynamically calculates:
- The highest high over the last ~260 trading sessions (52-week high)
- The lowest low over the last ~260 trading sessions (52-week low)
- Visual bands that update in real time as price evolves
## Best Timeframe
Optimized for **daily charts** to reflect true yearly price ranges.
Can be adapted to other timeframes using the bar-count inputs.
## Trading Applications
✅ Breakout confirmation tool
✅ Long-term trend validation
✅ Relative strength filter alignment
✅ RRG and momentum cross-checks
✅ Swing trade zone identification
## How To Use
1. Apply to daily charts.
2. Track price interaction with the 52-week bands.
3. Look for:
- Breakouts above the high band for trend continuation
- Pullbacks toward the high band for retest entries
- Rejections at the low band as breakdown confirmation
⚠️ This indicator maps key price structure — it does **not predict directional outcomes**.
Always combine with volume or momentum confirmation.
---
## Mathematical Basis
Rolling extreme calculations based on:
- **Highest high over N bars**
- **Lowest low over N bars**
N defaults to **52 weeks × 5 sessions = 260 bars** for daily charts.
---
Developed for professional retail traders seeking institutional-grade structural tools.
CloudScore by ExitAnt📘 CloudScore by ExitAnt
CloudScore by ExitAnt 는 일목균형표(Ichimoku Cloud)의 구름대 돌파 신호를 기반으로,
다양한 추세 보조지표를 결합하여 매수 추세 강도를 점수화(0~5점) 해주는 트렌드 분석 지표입니다.
기존 일목구름 단독 신호는 변동성이 크거나 신뢰도가 낮을 수 있기 때문에,
이 지표는 여러 기술적 요소를 종합적으로 평가하여
“지금이 얼마나 강력한 추세 전환 구간인가?” 를 직관적으로 보여줍니다.
🎯 지표 목적
일목균형표 구름 돌파의 신뢰도 강화
보조지표 신호를 자동으로 점수화하여 한눈에 판단 가능
캔들 위에 이모지를 배치해 시각적으로 즉시 해석 가능
초보자부터 숙련자까지 모두 활용 가능한 추세 진입 필터링 도구
🧠 점수 계산 방식 (0~5점)
구름 상향 돌파가 발생하면 아래 조건들을 체크하여 점수를 부여합니다.
▶ +1점 조건 항목
1. 골든 크로스 발생
* 최근 설정한 n봉 이내에서 Fast MA가 Slow MA를 상향 돌파한 경우
2. RSI 과매도 구간
* RSI가 설정 값 이하일 때 추세 전환 가능성이 증가
3. MACD 강세 전환
* MACD가 0 아래에 있으면서 시그널선 상향 돌파 발생
4. RSI 상승 다이버전스
* 가격은 낮아지지만 RSI는 상승 → 바닥 신호
5. 200MA 위에 위치
* 장기 추세와 일치하는 시점만 점수 강화
▶ 점수별 이모지
1점 🟡 : 약한 진입 신호
2점 🟢 : 관찰이 필요한 강화 신호
3점 📈 : 추세 전환 가능성 증가
4점 🚀 : 강한 추세 신호
5점 👑 : 매우 강력한 진입 시그널
🖥 차트 표시 요소
구름대(Span A / Span B)만 표시하여 더 깔끔한 시각화
이모지는 캔들 위에 자동 배치
필요 시 최근 n개의 캔들만 표시하도록 설정 가능
오른쪽 상단에 조건 요약 안내창 표시
🔧 사용자 설정
Tenkan / Kijun / SenkouB 기간 조정
MA, RSI, MACD, 다이버전스 사용 여부 선택
최근 몇 개의 캔들까지 점수를 표시할지 설정 가능
이모지는 사용자 취향에 따라 변경 가능
⚠️ 유의사항
본 지표는 **가격 움직임의 확률적 해석을 돕는 보조지표**이며, 단독으로 매수·매도 결정을 내려서는 안 됩니다.
시장 상황(변동성, 거래량, 프레임)에 따라 신호의 신뢰도는 달라질 수 있습니다.
실제 매매 전략에 적용하기 전 반드시 백테스트와 검증이 필요합니다.
# **📘 CloudScore by ExitAnt — English Description**
📘 CloudScore by ExitAnt
CloudScore by ExitAnt is a trend analysis indicator that evaluates bullish trend strength by scoring (0–5 points) signals based on Ichimoku Cloud breakouts combined with multiple momentum and trend indicators.
Since the default Ichimoku Cloud breakout alone can be unreliable or highly volatile, this indicator integrates several technical conditions to visually and intuitively show
“How strong is the current trend reversal opportunity?”
🎯 Purpose of the Indicator
Enhance the reliability of Ichimoku Cloud breakout signals
Automatically score multiple signals for quick visual judgment
Place emojis directly above candles for instant interpretation
Works for both beginners and experienced traders as a trend-entry filtering tool
🧠 Scoring Logic (0–5 points)
When a bullish breakout above the cloud occurs, the indicator checks the following conditions and assigns points.
▶ +1 Point Conditions
1. Golden Cross
* Fast MA crosses above Slow MA within the user-defined lookback window
2. RSI Oversold
* RSI below threshold increases the probability of trend reversal
3. MACD Bullish Shift
* MACD is below zero while crossing above the signal line
4. RSI Bullish Divergence
* Price makes a lower low while RSI makes a higher low → potential bottom signal
5. Above the 200MA
* Only scores when price aligns with long-term trend direction
▶ Emoji by Score
1 Point 🟡 : Weak early signal
2 Points 🟢 : Improved setup; watch closely
3 Points 📈 : Decent trend reversal possibility
4 Points 🚀 : Strong trend entry signal
5 Points 👑 : Very strong bullish signal
🖥 Chart Elements
Displays only Span A / Span B to keep the cloud visually clean
Emojis automatically appear above candles
Optionally limit the number of candles displaying signals
Summary box appears in the upper-right corner
🔧 User Settings
Adjustable Tenkan / Kijun / Senkou B periods
Enable/disable MA, RSI, MACD, divergence filters
Set how many recent candles should show the score
Emojis can be customized by the user
⚠️ Disclaimer
This is a technical assistant tool that helps interpret price movement probabilities; it should not be used as a standalone buy/sell signal.
Signal reliability may vary depending on volatility, volume, and timeframe.
Always conduct backtesting and validation before using it in real trading strategies.
Imbalance Heatmap (Free) – pc75A clean, efficient visualisation of liquidity voids, 3-bar imbalances, and price inefficiency zones.
This indicator highlights where the market left gaps in the order flow — areas price often revisits to rebalance.
Imbalances are displayed as stacked horizontal “heatmap strips,” making it easy to see:
Where aggressive buying/selling left a void
Whether multiple voids overlap (stronger zones)
Whether price is likely to return to fill the imbalance
How old a void is (older zones are marked differently)
This is a refined v6 rewrite based on a script I liked, completely modernised with cleaner logic, better performance, and optional labels.
🔍 Features
3-bar liquidity void detection (ICT-style logic)
Bullish imbalance when price displaces upward with no wick overlap
Bearish imbalance for downward displacement
✔ Heatmap-style visualisation
Each imbalance is sliced into multiple thin horizontal bands to create a visual density effect.
✔ Stacking intelligence
If a new void overlaps previous ones, the heatmap is drawn brighter, showing areas where the market left multiple inefficiencies.
✔ “Void xN” labels
Optional labels show how many overlapping voids existed at the moment the imbalance formed.
✔ Automatic deletion when filled
As soon as price trades back through a slice, that slice is removed.
This keeps the chart clean and focuses only on active inefficiencies.
✔ Smart ageing
Older voids are marked with a subtle border so you can distinguish freshly formed inefficiencies from historical ones.
✔ Alerts
Set alerts for when price taps a stacked imbalance zone (“Void x2” and above).
⚙ Inputs & Customisation
ATR threshold (optional)
Minimum tick size gap
Number of heatmap slices
Bullish / bearish toggles
Label toggles
Colour and transparency configuration
Max slice memory for performance
💡 How to Use
Imbalance zones often behave as:
Magnets → price gravitates toward them
Support/resistance → structure respects inefficiencies
Continuity points → used with market structure shifts
Targets → for both scalpers and swing traders
Strong (stacked) voids typically represent areas of institutional displacement, where the market is more likely to return for rebalancing.
📢 Notes
This is the free version.
Educational only — not financial advice.
Trading Session IL7 Session-Based Intraday Momentum IndicatorOverview
This indicator is designed to support discretionary traders by highlighting intraday momentum phases based on price behavior and trading session context.
It is intended as a confirmation tool and not as a standalone trading system or automated strategy.
Core Concept
The script combines multiple market observations, including:
- Directional price behavior within the current timeframe
- Structural consistency in recent price movement
- Session-based filtering to focus on periods with higher activity and liquidity
Signals are only displayed when internal conditions align, helping traders avoid low-quality setups during sideways or low-momentum market phases.
How to Use
This indicator should be used to confirm existing trade ideas rather than generate trades on its own.
It can help traders:
- Identify periods where momentum is more likely to continue
- Filter out trades during unfavorable market conditions
- Align intraday execution with higher-timeframe bias
Best results are achieved when used alongside key price levels, higher-timeframe structure and proper risk management.
Limitations
This indicator does not predict future price movements.
Signals may change during active candles.
Market conditions may reduce effectiveness during extremely low volatility periods.
Language Notice
The indicator’s user interface labels are displayed in German.
This English description is provided first to comply with TradingView community script publishing rules.
Stop Hunt / Liquidity Sweep Detector with Momentum Ratingdetects liquidity sweeps as they happen then gives you a rating on how much momentum the reversal has.
T-DOW-FLOW: Final Edition
T-DOW-FLOW: Market Structure & Smart Pivot Zones
This indicator is a comprehensive technical analysis tool designed to visualize "Market Structure" based on Dow Theory and precise Supply/Demand Zones. It helps traders identify the true market trend and high-probability reaction levels by analyzing raw price action (ZigZag Pivots) rather than lagging indicators.
The script integrates three core systems:
ZigZag Trend Cloud: Visualizes the market bias (Uptrend/Downtrend).
Smart Pivot Zones (Type 1): Highlights the specific "Wick-to-Body" area of recent pivots.
Auto Density Channels (Type 2): Detects historical support/resistance clusters.
1. ZigZag Trend Identification
Logic: The script utilizes ta.highestbars and ta.lowestbars to detect Swing Highs and Swing Lows.
Trend Cloud:
If the structure creates a Higher High, the background cloud turns Green (Uptrend).
If the structure creates a Lower Low, the background cloud turns Red (Downtrend).
This provides an instant visual filter for "Trend Flow," encouraging traders to trade only in the direction of the dominant market structure.
2. SR Type 1: Smart Pivot Zones (Wick-to-Body)
Unlike standard indicators that draw thin lines at the absolute High/Low, this script focuses on the "Imbalance Zone".
It calculates the price range between the Pivot's Wick and the Pivot's Body (Open/Close) and fills this area with a colored zone.
Why? The area between the wick and body often represents the precise zone where institutional orders were filled, acting as a more reliable support/resistance level than a single price point.
3. SR Type 2: Auto Density Channels
This module scans a significant amount of historical data (default: 300 bars) to find clusters of pivot points.
Areas where multiple pivots align within a specific width are drawn as Channels. These represent strong, long-term psychological levels.
Trend Filter: Check the Trend Cloud color.
Green: Look for Long opportunities.
Red: Look for Short opportunities.
Entry Trigger: Wait for the price to retrace into a Smart Pivot Zone (Type 1) or an Auto Channel (Type 2).
Look for price rejection (wicks) at these zones in the direction of the Trend Cloud.
Structure Confirmation: Use the ZigZag lines and labels (HH, HL, etc.) to confirm that the market structure is still intact before entering.
ZigZag Settings: Adjust the sensitivity of the trend detection.
SR Type 1: Toggle the "Wick-to-Body" fill and choose between Wicks or Bodies as the primary source.
SR Type 2: Adjust the historical loopback period and channel width sensitivity.
This script is for educational and technical analysis purposes only. Past performance does not guarantee future results.
(以下、日本語説明 / Japanese Description)
このインジケーターは、「ダウ理論」に基づくトレンド判定と、精密な「需給ゾーン（Supply/Demand）」を可視化するための市場構造分析ツールです。 遅行指標を使わず、純粋なプライスアクション（ZigZagピボット）に基づいて、機関投資家の意識する価格帯を特定します。
1. ZigZagトレンドクラウド
ロジック: 一定期間の高値・安値を検出し、ダウ理論に基づいてトレンドを判定します。
視覚化: 高値切り上げ（上昇トレンド）なら「緑」、安値切り下げ（下落トレンド）なら「赤」の背景色を表示します。これにより、トレードすべき方向（順張り）を一目で判断できます。
2. SR Type 1: スマートピボットゾーン (Wick-to-Body)
単なる水平線ではなく、ローソク足の**「ヒゲ先」から「実体」までの価格差**をゾーンとして塗りつぶして表示します。
理由: ヒゲと実体の間の領域は、大口の注文が執行された（需給の不均衡が発生した）重要なエリアであることが多く、ピンポイントのラインよりも信頼性の高い反発ゾーンとして機能します。
3. SR Type 2: オート・デンシティ・チャネル
過去の長期間（デフォルト300本）のデータをスキャンし、ピボットが密集している価格帯を自動で「チャネル」として描画します。長期的に意識される強力なレジサポ帯です。
環境認識: 背景のトレンドクラウドの色に従い、目線を固定します。
エントリー: 価格がSRゾーン（Type 1）やチャネル（Type 2）に引きつけて、反発する動きを確認してエントリーします。
構造確認: ZigZagラインとラベル（HH/HLなど）を見て、トレンドが崩れていないことを確認します。
SMC + OB + FVG + Reversal + UT Bot + Hull Suite – by Fatich.id🎯 7 INTEGRATED SYSTEMS:
✓ Mxwll Suite (SMC + Auto Fibs + CHoCH/BOS)
✓ UT Bot (Trend Signals + Label Management)
✓ Hull Suite (Momentum Analysis)
✓ LuxAlgo FVG (Fair Value Gaps)
✓ LuxAlgo Order Blocks (Volume Pivots) ⭐ NEW
✓ Three Bar Reversal (Pattern Recognition)
✓ Reversal Signals (Momentum Count Style)
⚡ KEY FEATURES:
• Smart Money Structure (CHoCH/BOS/I-CHoCH/I-BoS)
• Auto Fibonacci (10 customizable levels)
• Order Block Detection (Auto mitigation)
• Fair Value Gap Tracking
• Session Highlights (NY/London/Asia)
• Volume Activity Dashboard
• Multi-Timeframe Support
• Clean Label Management
🎨 PERFECT FOR:
• Smart Money Concept Traders
• Order Flow & Liquidity Analysis
• Support/Resistance Trading
• Trend Following & Reversals
• Multi-Timeframe Analysis
💡 RECOMMENDED SETTINGS:
Clean Charts: OB Count 3, UT Signals 3, FVG 5
Detailed Analysis: OB Count 5-10, All Signals
Scalping: Low sensitivity, Hull 20-30
Swing Trading: High sensitivity, Hull 55-100
VectorCoresAI SMA + Bollinger Fusion v1VectorCoresAI — SMA + Bollinger Fusion (Free)
A clean, modern visual tool combining four key SMAs with an adaptive Bollinger structure.
This script merges two of the most widely used charting concepts into one simple, readable view:
Included
✔ SMA 21
✔ SMA 50
✔ SMA 100
✔ SMA 200
✔ Bollinger Bands with adjustable length + multiplier
✔ Adaptive “Fusion Squeeze” shading to highlight compression phases
✔ Optional visibility toggles for each SMA
✔ Lightweight, non-intrusive overlay
What this indicator is designed for
This tool helps traders quickly understand:
Trend alignment using the 21/50/100/200 SMAs
Volatility conditions around the Bollinger midline
Price compression and expansion
Early awareness of breakout environments
Clean visual structure without clutter
Everything is intentionally simple and transparent.
No predictions, no signals, no trading advice — just clean chart structure.
Why this version is unique
Instead of using standard Bollinger visuals, this Fusion edition uses subtle adaptive shading to show when the bands contract.
This makes compression zones instantly visible without overwhelming the chart.
The SMAs are fixed to widely-used trend levels, giving consistent readings across all markets and timeframes.
Who this is for
Newer traders who want a clear introduction to SMAs + Bollinger Bands
Experienced traders who want a lightweight visual tool
Anyone building structure-based strategies
Users of the VectorCoresAI suite who want a simple companion tool
Notes
This indicator is part of the VectorCoresAI Free Tools collection.
All logic is open-source and educational only.
More tools coming soon.
ICT Quant-Core: Liquidity Intelligence [Dual-Engine]🔥 THE ULTIMATE LIQUIDITY FILTERING ENGINE
Most SMC traders lose money because they "catch falling knives" on every local wick. This algorithm solves this problem by using DUAL-CORE logic and a signal quality scoring system.
This is no ordinary pivot indicator.
⚙️ HOW DOES IT WORK? (DUAL-CORE LOGIC)
The algorithm analyzes the market on two levels simultaneously:
1️⃣ MACRO CORE (Lookback 50 - "WHALE 🐋")
Tracks key levels from recent weeks/months.
This is where institutions build their positions.
Signals from this core have the highest priority (Score 10/10).
2️⃣ LOCAL CORE (Lookback 20 - "ROACH 🐟")
Tracks internal market structure and noise.
Signals are filtered by the Main Trend. If the trend is down, Local Longs are marked as "TRAP."
🧠 SMART FILTERS (QUANT LAYERS)
Instead of entering on every line touch, the script requires confirmation:
✅ RECLAIM LOGIC: Price must close back above/below the liquidity level (Swing Failure Pattern).
✅ RVOL FILTER: Requires relative volume > 1.2x the average (institutional track).
✅ SCORING SYSTEM (0-10): Each signal receives a score.
- 10/10: Macro Grab in line with the trend + high volume.
- 3/10: Local Grab against the trend (risky).
📊 ANALYTICAL DASHBOARD
In the lower right corner, you'll find the "Command Center":
- Trend Status (Distribution/Accumulation)
- Whale's Last Move (Price and Direction)
- Current Tactics (e.g., "Ignore Longs, Search for Shorts")
- Filter Status (RSI, Volume, Reclaim)
🚀 HOW TO USE IT?
1. Set the H4 timeframe.
2. Wait for a signal with a rating > 7/10.
3. Ignore "Fish/Local" signals (small icons) if they contradict the Dashboard color.
4. Entry occurs only after the candle closes (Reclaim).
US Market Long Horizon Momentum Summary in one paragraph
US Market Long Horizon Momentum is a trend following strategy for US index ETFs and futures built around a single eighteen month time series momentum measure. It helps you stay long during persistent bull regimes and step aside or flip short when long term momentum turns negative.
Scope and intent
• Markets. Large cap US equity indices, liquid US index ETFs, index futures
• Timeframes. 4h/ Daily charts
• Default demo used in the publication. SPY on 4h timeframe chart
• Purpose. Provide a minimal long bias index timing model that can reduce deep drawdowns and capture major cycles without parameter mining
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. One unscaled multiple month log return of an external benchmark symbol drives all entries and exits, with optional volatility targeting as a single risk control switch.
• Failure mode addressed. Fully passive buy and hold ignores the sign of long horizon momentum and can sit through multi year drawdowns. This script offers a way to step down risk in prolonged negative momentum without chasing short term noise.
• Testability. All parameters are visible in Inputs and the momentum series is plotted so users can verify every regime change in the Tester and on price history.
• Portable yardstick. The log return over a fixed window is a unit that can be applied to any liquid symbol with daily data.
Method overview in plain language
The method looks at how far the benchmark symbol has moved in log return terms over an eighteen month window in our example. If that long horizon return is positive the strategy allows a long stance on the traded symbol. If it is negative and shorts are enabled the strategy can flip short, otherwise it goes flat. There is an optional realised volatility estimate on the traded symbol that can scale position size toward a target annual volatility, but in the default configuration the model uses unit leverage and only the sign of momentum matters.
Base measures
Return basis. The core yardstick is the natural log of close divided by the close eighteen months ago on the benchmark symbol. Daily log returns of the traded symbol feed the realised volatility estimate when volatility targeting is enabled.
Components
• Component one Momentum eighteen months. Log of benchmark close divided by its close mom_lookback bars ago. Its sign defines the trend regime. No extra smoothing is applied beyond the long window itself.
• Component two Realised volatility optional. Standard deviation of daily log returns on the traded symbol over sixty three days. Annualised by the square root of 252. Used only when volatility targeting is enabled.
• Optional component Volatility targeting. Converts target annual volatility and realised volatility into a leverage factor clipped by a maximum leverage setting.
Fusion rule
The model uses a simple gate. First compute the sign of eighteen month log momentum on the benchmark symbol. Optionally compute leverage from volatility. The sign decides whether the strategy wants to be long, short, or flat. Leverage only rescales position size when enabled and does not change direction.
Signal rule
• Long suggestion. When eighteen month log momentum on the benchmark symbol is greater than zero, the strategy wants to be long.
• Short suggestion. When that log momentum is less than zero and shorts are allowed, the strategy wants to be short. If shorts are disabled it stays flat instead.
• Wait state. When the log momentum is exactly zero or history is not long enough the strategy stays flat.
• In position. In practice the strategy sits IN LONG while the sign stays positive and flips to IN SHORT or flat only when the sign changes.
Inputs with guidance
Setup
• Momentum Lookback (months). Controls the horizon of the log return on the benchmark symbol. Typical range 6 to 24 months. Raising it makes the model slower and more selective. Lowering it makes it more reactive and sensitive to medium term noise.
• Symbol. External symbol used for the momentum calculation, SPY by default. Changing it lets you time other indices or run signals from a benchmark while trading a correlated instrument.
Logic
• Allow Shorts. When true the strategy will open short positions during negative momentum regimes. When false it will stay flat whenever momentum is negative. Practical setting is tied to whether you use a margin account or an ETF that supports shorting.
Internal risk parameters (not exposed as inputs in this version) are:
• Target Vol (annual). Target annual volatility for volatility targeting, default 0.2.
• Vol Lookback (days). Window for realised volatility, default 63 trading days.
• Max Leverage. Cap on leverage when volatility targeting is enabled, default 2.
Usage recipes
Swing continuation
• Signal timeframe. Use the daily chart.
• Benchmark symbol. Leave at SPY for US equity index exposure.
• Momentum lookback. Eighteen months as a default, with twelve months as an alternative preset for a faster swing bias.
Properties visible in this publication
• Initial capital. 100000
• Base currency. USD
• Default order size method. 5% of the total capital in this example
• Pyramiding. 0
• Commission. 0.03 percent
• Slippage. 3 ticks
• Process orders on close. On
• Bar magnifier. Off
• Recalculate after order is filled. Off
• Calc on every tick. Off
• All request.security calls use lookahead = barmerge.lookahead_off
Realism and responsible publication
The strategy is for education and research only. It does not claim any guaranteed edge or future performance. All results in Strategy Tester are hypothetical and depend on the data vendor, costs, and slippage assumptions. Intrabar motion is not modeled inside daily bars so extreme moves and gaps can lead to fills that differ from live trading. The logic is built for standard candles and should not be used on synthetic chart types for execution decisions.
Performance is sensitive to regime structure in the US equity market, which may change over time. The strategy does not protect against single day crash risk inside bars and does not model gap risk explicitly. Past behavior of SPY and the momentum effect does not guarantee future persistence.
Honest limitations and failure modes
• Long sideways regimes with small net change over eighteen months can lead to whipsaw around the zero line.
• Very sharp V shaped reversals after deep declines will often be missed because the model waits for momentum to turn positive again.
• The sample size in a full SPY history is small because regime changes are infrequent, so any test must be interpreted as indicative rather than statistically precise.
• The model is highly dependent on the chosen lookback. Users should test nearby values and validate that behavior is qualitatively stable.
Legal
Education and research only. Not investment advice. You are responsible for your own decisions. Always test on historical data and in simulation with realistic costs before any live use.
DAILY AND WEEKLY MID LINESDAILY AND WEEKLY MID LINES INDICATOR
Description:
This indicator calculates and visualizes the dynamic midpoint (mid) of the current day and week in real-time. It provides traders with key reference levels based on developing price action.
Features:
Daily Mid Line:
Color: Orange
Thickness: 3 pixels
Style: Solid line
Updates: Automatically recalculates with each new candle
Calculation: Average of the day's highest high and lowest low from market open
Weekly Mid Line:
Color: Blue
Thickness: 3 pixels
Style: Dashed line
Updates: Continuously recalculates throughout the week
Calculation: Average of the week's highest high and lowest low from week start
How It Works:
At the start of each new trading day (00:00), the daily mid line resets and begins calculating from the first candle
At the start of each new trading week (typically Monday), the weekly mid line resets and begins fresh calculations
Both lines extend automatically to the right as new candles form
The lines are dynamic - they adjust as new highs/lows are made during the day/week
Trading Applications:
Support/Resistance Levels:
The mid lines act as natural equilibrium points where price may find temporary support or resistance
Daily mid can serve as intraday pivot, weekly mid as broader market balance point
Trend Analysis:
Price consistently above mid lines suggests bullish momentum
Price consistently below mid lines suggests bearish momentum
Relationship between daily and weekly mid lines shows multi-timeframe alignment
Entry/Exit Signals:
Price crossing above daily mid may indicate short-term bullish momentum
Price crossing below daily mid may indicate short-term bearish momentum
Weekly mid breaks can signal more significant trend changes
Market Context:
Distance between price and mid lines indicates market extremity
Steeper mid line slopes suggest stronger directional momentum
Flat mid lines suggest range-bound or consolidating markets
Confluence Trading:
Combine with other indicators (RSI, MACD, moving averages) for confirmation
Use as dynamic levels for stop-loss placement or take-profit targets
Best Practices:
More effective on higher timeframes (1H, 4H, Daily) for clearer signals
Works well in trending markets where mid lines act as moving support/resistance
Monitor for price rejection or acceptance at mid levels for trading decisions
Use in conjunction with volume analysis for confirmation
Psychological Significance:
Mid points often represent fair value areas where buyers and sellers find temporary equilibrium, making them natural decision points for market participants.
This indicator is particularly useful for day traders, swing traders, and position traders looking for dynamic, real-time reference points that adapt to current market conditions rather than relying on static historical levels.
Veil Trend# Veil Trend (VTrend)
**Veil Trend** is a minimalist trend-following and volatility framework built around a triple-EMA structure and adaptive price bands. It is designed to clearly define trend direction, dynamic support and resistance, and momentum expansion—without clutter.
---
## 🔹 Core Components
### Main EMA (Slow)
Acts as the primary trend axis.
- Price **above** the main EMA → bullish bias
- Price **below** the main EMA → bearish bias
### Medium EMA
Tracks intermediate momentum and trend strength, helping visualize pullbacks within the broader trend.
### Fast EMA (Optional)
Provides short-term momentum sensitivity and early trend shifts.
Hidden by default to maintain a clean chart.
---
## 🔹 Adaptive Veil Bands
Veil Trend wraps the main EMA with adaptive volatility bands (“the veil”) to define normal price movement versus expansion.
- **ATR-Based Bands (Default)**
Bands automatically expand and contract with volatility, adapting to changing market conditions.
- **Percentage-Based Bands (Optional)**
Bands are offset by a fixed percentage from the main EMA, useful for consistent scaling across instruments.
The shaded area between bands represents the **healthy trend zone**, where pullbacks and consolidations typically occur.
---
## 🔹 Signals & Interpretation
*(Disabled by default for a clean visual experience)*
### Band Breaks
- **Break above upper band** → strong bullish momentum
- **Break below lower band** → strong bearish momentum
### Band Bounces
- **Bounce from lower band** → potential bullish continuation
- **Rejection at upper band** → potential bearish continuation
Alerts are included for all band events and can be enabled as needed.
---
## 🔹 Visual Design Philosophy
- Clean, layered EMA structure (“noodles”)
- Subtle volatility bands with optional fill
- Optional status table for quick market context
- Minimalist by default, information-rich when enabled
---
## 🔹 Best Use Cases
- Identifying trend direction and bias
- Trading pullbacks within established trends
- Spotting volatility expansion and breakout conditions
- Works on **stocks, crypto, forex, and indices**
- Effective across all timeframes
---
**Veil Trend doesn’t predict — it reveals.**
FVG Supply and DemandThis indicator combines powerful tools into one:
• Supply & Demand Zones built from swing highs/lows with ATR-based zone width, POI markers, and Break-of-Structure (BOS) detection.
• Volumized Fair Value Gaps (FVGs) showing bullish/bearish gaps, total volume inside the gap, volume distribution, optional zone-combining, and auto-cleanup.
• Swing TSL Line and manage bar color.
It helps visualize key imbalance areas, institutional zones, and price reaction points.
Credits to the Author.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not provide trading advice.
Past results do not guarantee future outcomes.
Use responsibly and in conjunction with your market analysis.
FX Fresh Momentum FX Fresh Momentum calculates the true strength and session momentum of the 8 major currencies using a 7-pair average and session resets (Tokyo, London, New York).
Each session opens with a zero-base, allowing you to see only the fresh momentum.
Includes pair-averaged strength, ×100 momentum scaling, vertical session dividers, and institutional color coding.
Ideal for FX day traders who want cleaner session-based momentum signals
RVOL + Volume Z-Score (Textbook)This indicator is a relative-volume and “volume anomaly” dashboard designed to help you quickly spot when a ticker is actually in-play versus simply drifting on normal activity. It plots standard volume bars (colored by up/down candles) and overlays multiple optional smoothers of volume (SMA, LSMA/linear-regression MA, HMA, ALMA) so you can see whether participation is expanding or fading across different smoothing styles. It also calculates RVOL (current bar volume divided by the average volume over a user-defined lookback) and displays RVOL (and Z) in a small table for quick reference.
The core feature is a textbook volume z-score: Z=(V−SMA(V,N))/StDev(V,N)
This measures how far the current bar’s volume is from its recent average in standard-deviation units, making it easy to filter for genuinely unusual volume. The script plots mean + 1σ and mean + 2σ threshold bands and can highlight “anomaly” volume bars when Z exceeds your chosen σ thresholds (default 1σ for broader detection, with alerts available for 1σ/2σ). Use it as a participation filter: combine high RVOL / high Z with your price structure (key levels, VWAP, trend) to validate breakouts or identify high-conviction reversal/flush events.
CISD by tncylyvCISD (Change in State of Delivery) by tncylyv
The CISD (Change in State of Delivery) indicator is a precision price action tool designed to help traders identify key reversal points based on ICT concepts. Unlike standard support and resistance indicators, this script tracks the specific algorithmic opening prices responsible for the current delivery state and highlights when that state has been invalidated.
🧠 What is CISD?
Change in State of Delivery refers to the moment price shifts from a Buy Program to a Sell Program (or vice versa).
• Bearish CISD (-CISD): Occurs when price closes below the opening price of the up-candle sequence that created the most recent High.
• Bullish CISD (+CISD): Occurs when price closes above the opening price of the down-candle sequence that created the most recent Low.
This indicator automates the identification of these levels, tracking the "Active" reference price in real-time and marking historical reversals.
🚀 Key Features
1. Continuous Active Level Tracking:
o The indicator plots a continuous, stepped line (The "Active CISD") that follows the market structure. As the market expands (makes new highs or lows), the line updates to the new valid reference point.
o This allows you to see the current invalidation level at a glance without cluttering the chart with old lines.
2. Triggered Reversal Lines:
o When a candle closes beyond the Active CISD level, a "Triggered" line is drawn to mark the exact price and location of the reversal.
o These lines serve as excellent historical references for potential Order Blocks or Breakers later in time.
3. Smart Filtering:
o You can choose to display Both Bullish and Bearish setups, or filter to see Bullish Only or Bearish Only. This is ideal for traders who have a specific daily bias and want to remove noise from the chart.
4. Clean & Customizable:
o Fully customizable colors for Bullish and Bearish events.
o Options to toggle Labels, adjust Line Width, and change Line Styles (Solid, Dashed, Dotted).
o "No Continuation" Logic: This version focuses purely on major reversals (Change in State) rather than minor pullbacks, keeping your chart clean.
⚙️ Settings Guide
• Show Active CISD Level: Toggles the continuous stepped line representing the current threshold for a reversal.
• Triggered CISD Display: Choose between Both, Bullish Only, Bearish Only, or None. This controls the historical lines left behind after a reversal occurs.
• Visual Settings: Adjust line width, label sizes, and font styles to match your chart aesthetic.
• Colors: Customize the Shrek Mode (Bullish) and Blood Bath (Bearish) colors.
⚠️ A Note for Developers
This indicator is open source! If you are a Pine Script developer, feel free to check the source code. I’ve utilized some... creative variable naming conventions to make the coding experience more entertaining. Enjoy the read!
________________________________________
Risk Disclaimer: This tool is for educational purposes and market analysis. It does not guarantee future performance. Always manage your risk.
CPR + EMA(20/50/200) Strategy (5m) - NIFTY styleindicator best suited for nifty for 5 minute time frame.
5% Move Counter (Up vs Down)5% Move Counter (Up vs Down)
This indicator tracks how many times a stock has made a 5% or larger move in a single session, and shows the count separately for up days and down days. It’s meant for traders who want quick context on whether a stock has a history of making large moves, instead of manually scrolling through years of price action.
Most tools only tell you what’s happening right now. This one helps you understand what the stock is capable of.
What it shows
Number of 5%+ up days
Number of 5%+ down days
Optional display modes:
All
Up Only
Down Only
Why it’s useful
Different stocks behave differently. Some give clean, powerful bursts when they break out, while others rarely move big even when the setup looks perfect. This tool helps you gauge a stock’s historical “explosiveness” so you can decide whether your strategy fits its behavior.
If your setups depend on volatility or momentum, it helps to know whether the stock has produced big moves before. This gives you that information instantly.
Customization
You can place the stats box anywhere on the chart using a simple 1–9 selector.
You can hide the rows you don’t need through a dropdown.
When a row is hidden, its background becomes fully transparent so the chart stays clean.
Who it’s for
Short-term traders, breakout traders, swing traders, and anyone who wants a quick read on whether a stock moves enough to justify certain types of trades.
Liquidation Heatmap [Alpha Extract]A sophisticated liquidity zone visualization system that identifies and maps potential liquidation levels based on swing point analysis with volume-weighted intensity measurement and gradient heatmap coloring. Utilizing pivot-based pocket detection and ATR-scaled zone heights, this indicator delivers institutional-grade liquidity mapping with dynamic color intensity reflecting relative liquidity concentration. The system's dual-swing detection architecture combined with configurable weight metrics creates comprehensive liquidation level identification suitable for strategic position planning and market structure analysis.
🔶 Advanced Pivot-Based Pocket Detection
Implements dual swing width analysis to identify potential liquidation zones at pivot highs and lows with configurable lookback periods for comprehensive level coverage. The system detects primary swing points using main pivot width and optional secondary swing detection for increased pocket density, creating layered liquidity maps that capture both major and minor liquidation levels across extended price history.
🔶 Multi-Metric Weight Calculation Engine
Features flexible weight source selection including Volume, Range (high-low spread), and Volume × Range composite metrics for liquidity intensity measurement. The system calculates pocket weights based on market activity at pivot formation, enabling traders to identify which liquidation levels represent higher concentration of potential stops and liquidations with configurable minimum weight thresholds for noise filtering.
🔶 ATR-Based Zone Height Framework
Utilizes Average True Range calculations with percentage-based multipliers to determine pocket vertical dimensions that adapt to market volatility conditions. The system creates ATR-scaled bands above swing highs for short liquidation zones and below swing lows for long liquidation zones, ensuring zone heights remain proportional to current market volatility for accurate level representation.
🔶 Dynamic Gradient Heatmap Visualization
Implements sophisticated color gradient system that maps pocket weights to intensity scales, creating intuitive visual representation of relative liquidity concentration. The system applies power-law transformation with configurable contrast adjustment to enhance differentiation between weak and strong liquidity pockets, using cyan-to-blue gradients for long liquidations and yellow-to-orange for short liquidations.
🔶 Intelligent Pocket State Management
Features advanced pocket tracking system that monitors price interaction with liquidation zones and updates pocket states dynamically. The system detects when price trades through pocket midpoints, marking them as "hit" with optional preservation or removal, and manages pocket extension for untouched levels with configurable forward projection to maintain visibility of approaching liquidity zones.
🔶 Real-Time Liquidity Scale Display
Provides gradient legend showing min-max range of pocket weights with 24-segment color bar for instant liquidity intensity reference. The system positions the scale at chart edge with volume-formatted labels, enabling traders to quickly assess relative strength of visible liquidation pockets without numerical clutter on the main chart area.
🔶 Touched Pocket Border System
Implements visual confirmation of executed liquidations through border highlighting when price trades through pocket zones. The system applies configurable transparency to touched pocket borders with inverted slider logic (lower values fade borders, higher values emphasize them), providing clear historical record of liquidated levels while maintaining focus on active untouched pockets.
🔶 Dual-Swing Density Enhancement
Features optional secondary swing width parameter that creates additional pocket layer with tighter pivot detection for increased liquidation level density. The system runs parallel pivot detection at both primary and secondary swing widths, populating chart with comprehensive liquidity mapping that captures both major swing liquidations and intermediate level clusters.
🔶 Adaptive Pocket Extension Framework
Utilizes intelligent time-based extension that projects untouched pockets forward by configurable bar count, maintaining visibility as price approaches potential liquidation zones. The system freezes touched pocket right edges at hit timestamps while extending active pockets dynamically, creating clear distinction between historical liquidations and forward-projected active levels.
🔶 Weight-Based Label Integration
Provides floating labels on untouched pockets displaying volume-formatted weight values with dynamic positioning that follows pocket extension. The system automatically manages label lifecycle, creating labels for new pockets, updating positions as pockets extend, and removing labels when pockets are touched, ensuring clean chart presentation with relevant liquidity information.
🔶 Performance Optimization Framework
Implements efficient array management with automatic clean-up of old pockets beyond lookback period and optimized box/label deletion to maintain smooth performance. The system includes configurable maximum object counts (500 boxes, 50 labels, 100 lines) with intelligent removal of oldest elements when limits are approached, ensuring consistent operation across extended timeframes.
This indicator delivers sophisticated liquidity zone analysis through pivot-based detection and volume-weighted intensity measurement with intuitive heatmap visualization. Unlike simple support/resistance indicators, the Liquidation Heatmap combines swing point identification with market activity metrics to identify where concentrated liquidations are likely to occur, while the gradient color system instantly communicates relative liquidity strength. The system's dual-swing architecture, configurable weight metrics, ATR-adaptive zone heights, and intelligent state management make it essential for traders seeking strategic position planning around institutional liquidity levels across cryptocurrency, forex, and futures markets. The visual heatmap approach enables instant identification of high-probability reversal zones where cascading liquidations may trigger significant price reactions.
Open Interest RSI [BackQuant]Open Interest RSI
A multi-venue open interest oscillator that aggregates OI across major derivatives exchanges, converts it to coin or USD terms, and runs an RSI-style engine on that aggregated OI so you can track positioning pressure, crowding, and mean reversion in leverage flows, not just in price.
What this is
This tool is an RSI built on top of aggregated open interest instead of price. It pulls futures OI from several major exchanges, converts it into a unified unit (COIN or USD), sums it into a single synthetic OI candle, then applies RSI and smoothing to that combined series.
You can then render that Open Interest RSI in different visual modes:
Clean line or colored line for classic oscillator-style reads.
Column-style oscillator for impulse and compression views.
Flag mode that fills between OI RSI and its EMA for trend/mean reversion blends. See:
Heatmap mode that paints the panel based on OI RSI extremes, ideal for scanning. See:
On top of that it includes:
Aggregated OI source selection (Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit).
Choice of OI units (COIN or USD).
Reference lines and OB/OS zones.
Extreme highlighting for either trend or mean reversion.
A vertical OI RSI meter that acts as a quick strength gauge.
Aggregated open interest source
Under the hood, the indicator builds a synthetic open interest candle by:
Looping over a list of supported exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Looping over multiple contract suffixes (such as USDT.P, USD.P, USDC.P, USD.PM) to capture different contract types on each venue.
Requesting OI candles from each venue + contract combination for the same underlying symbol.
Converting each OI stream into a common unit: In COIN mode, everything is normalized into coin-denominated OI. In USD mode, coin OI is multiplied by price to approximate notional OI.
Summing up open, high, low and close of OI across venues into a single aggregated OI candle.
If no valid OI is available for the current symbol across all sources, the script throws a clear runtime error so you know you are on an unsupported market.
This gives you a single, exchange-agnostic open interest curve instead of being tied to one venue. That aggregated OI is then passed into the RSI logic.
How the OI RSI is calculated
The RSI side is straightforward, but it is applied to the aggregated OI close:
Compute a base RSI of aggregated OI using the Calculation Period .
Apply a simple moving average of length Smoothing Period (SMA) to reduce noise in the raw OI RSI.
Optionally apply an EMA on top of the smoothed OI RSI as a moving average signal line.
Key parameters:
Calculation Period – base RSI length for OI.
Smoothing Period (SMA) – extra smoothing on the RSI value.
EMA Period – EMA length on the smoothed OI RSI.
The result is:
oi_rsi – raw RSI of aggregated OI.
oi_rsi_s – SMA-smoothed OI RSI.
ma – EMA of the smoothed OI RSI.
Thresholds and extremes
You control three core thresholds:
Mid Point – central reference level, typically 50.
Extreme Upper Threshold – high-level OI RSI edge (for example 80).
Extreme Lower Threshold – low-level OI RSI edge (for example 20).
These thresholds are used for:
Reference lines or OB/OS zone fills.
Heatmap gradient bounds.
Background highlighting of extremes.
The Extreme Highlighting mode controls how extremes are interpreted:
None – do nothing special in extreme regions.
Mean-Rev – background turns red on high OI RSI and green on low OI RSI, framing extremes as contrarian zones.
Trend – background turns green on high OI RSI and red on low OI RSI, framing extremes as participation zones aligned with the prevailing move.
Reference lines and OB/OS zones
You can choose:
None – clean plotting without guides.
Basic Reference Lines – mid, upper and lower thresholds as simple gray horizontals.
OB/OS Levels – filled zones between:
Upper OB: from the upper threshold to 100, colored with the short/overbought color.
Lower OS: from 0 to the lower threshold, colored with the long/oversold color.
These guides help visually anchor the OI RSI within "normal" versus "extreme" regions.
Plotting modes
The Plotting Type input controls how OI RSI is drawn. All modes share the same underlying OI and RSI logic, but emphasise different aspects of the signal.
1) Line mode
This is the classic oscillator representation:
Plots the smoothed OI RSI as a simple line using RSI Line Color and RSI Line Width .
Optionally plots the EMA overlay on the same panel.
Works well when you want standard RSI-style signals on leverage flows: crosses of the midline, divergences versus price, and so on.
2) Colored Line mode
In this mode:
The OI RSI is plotted as a line, but its color is dynamic.
If the smoothed OI RSI is above the mid point, it uses the Long/OB Color .
If it is below the mid point, it uses the Short/OS Color .
This creates an instant visual regime switch between "bullish positioning pressure" and "bearish positioning pressure", while retaining the feel of a traditional RSI line.
3) Oscillator mode
Oscillator mode renders OI RSI as vertical columns around the mid level:
The smoothed OI RSI is plotted as columns using plot.style_columns .
The histogram base is fixed at 50, so bars extend above and below the mid line.
Bar color is dynamic, using long or short colors depending on which side of the mid point the value sits.
This representation makes impulse and compression in OI flows more obvious. It is especially useful when you want to focus on how quickly OI RSI is expanding or contracting around its neutral level. See:
4) Flag mode
Flag mode turns OI RSI and its EMA into a two-line band with a filled area between them:
The smoothed OI RSI and its EMA are both plotted.
A fill is drawn between them.
The fill color flips between the long color and the short color depending on whether OI RSI is above or below its EMA.
Black outlines are added to both lines to make the band clear against any background.
This creates a "flag" style region where:
Green fills show OI RSI leading its EMA, suggesting positive positioning momentum.
Red fills show OI RSI trailing below its EMA, suggesting negative positioning momentum.
Crossovers of the two lines can be read as shifts in OI momentum regime.
Flag mode is useful if you want a more structural view that combines both the level and slope behaviour of OI RSI. See:
5) Heatmap mode
Heatmap mode recasts OI RSI as a single-row gradient instead of a line:
A single row at level 1 is plotted using column style.
The color is pulled from a gradient between the lower and upper thresholds: Near the lower threshold it approaches the short/oversold color and near the upper threshold it approaches the long/overbought color.
The EMA overlay and reference lines are disabled in this mode to keep the panel clean.
This is a very compact way to track OI RSI state at a glance, especially when stacking it alongside other indicators. See:
OI RSI vertical meter
Beyond the main plot, the script can draw a small "thermometer" table showing the current OI RSI position from 0 to 100:
The meter is a two-column table with a configurable number of rows.
Row colors form an inverted gradient: red at the top (100) and green at the bottom (0).
The script clamps OI RSI between 0 and 100 and maps it to a row index.
An arrow marker "▶" is drawn next to the row corresponding to the current OI RSI value.
0 and 100 labels are printed at the ends of the scale for orientation.
You control:
Show OI RSI Meter – turn the meter on or off.
OI RSI Blocks – number of vertical blocks (granularity).
OI RSI Meter Position – panel anchor (top/bottom, left/center/right).
The meter is particularly helpful if you keep the main plot in a small panel but still want an intuitive strength gauge.
How to read it as a market pressure gauge
Because this is an RSI built on aggregated open interest, its extremes and regimes speak to positioning pressure rather than price alone:
High OI RSI (near or above the upper threshold) indicates that open interest has been increasing aggressively relative to its recent history. This often coincides with crowded leverage and a buildup of directional pressure.
Low OI RSI (near or below the lower threshold) indicates aggressive de-leveraging or closing of positions, often associated with flushes, forced unwinds or post-liquidation clean-ups.
Values around the mid point indicate more balanced positioning flows.
You can combine this with price action:
Price up with rising OI RSI suggests fresh leverage joining the move, a more persistent trend.
Price up with falling OI RSI suggests shorts covering or longs taking profit, more fragile upside.
Price down with rising OI RSI suggests aggressive new shorts or levered selling.
Price down with falling OI RSI suggests de-leveraging and potential exhaustion of the move.
Trading applications
Trend confirmation on leverage flows
Use OI RSI to confirm or question a price trend:
In an uptrend, rising OI RSI with values above the mid point indicates supportive leverage flows.
In an uptrend, repeated failures to lift OI RSI above mid point or persistent weakness suggest less committed participation.
In a downtrend, strong OI RSI on the downside points to aggressive shorting.
Mean reversion in positioning
Use thresholds and the Mean-Rev highlight mode:
When OI RSI spends extended time above the upper threshold, the crowd is extended on one side. That can set up squeeze risk in the opposite direction.
When OI RSI has been pinned low, it suggests heavy de-leveraging. Once price stabilises, a re-risking phase is often not far away.
Background colours in Mean-Rev mode help visually identify these periods.
Regime mapping with plotting modes
Different plotting modes give different perspectives:
Heatmap mode for dashboard-style use where you just need to know "hot", "neutral" or "cold" on OI flows at a glance.
Oscillator mode for short term impulses and compression reads around the mid line. See:
Flag mode for blending level and trend of OI RSI into a single banded visual. See:
Settings overview
RSI group
Plotting Type – None, Line, Colored Line, Oscillator, Flag, Heatmap.
Calculation Period – base RSI length for OI.
Smoothing Period (SMA) – smoothing on RSI.
Moving Average group
Show EMA – toggle EMA overlay (not used in heatmap).
EMA Period – length of EMA on OI RSI.
EMA Color – colour of EMA line.
Thresholds group
Mid Point – central reference.
Extreme Upper Threshold and Extreme Lower Threshold – OB/OS thresholds.
Select Reference Lines – none, basic lines or OB/OS zone fills.
Extreme Highlighting – None, Mean-Rev, Trend.
Extra Plotting and UI
RSI Line Color and RSI Line Width .
Long/OB Color and Short/OS Color .
Show OI RSI Meter , OI RSI Blocks , OI RSI Meter Position .
Open Interest Source
OI Units – COIN or USD.
Exchange toggles: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Notes
This is a positioning and pressure tool, not a complete system. It:
Models aggregated futures open interest across multiple centralized exchanges.
Transforms that OI into an RSI-style oscillator for better comparability across regimes.
Offers several visual modes to match different workflows, from detailed analysis to compact dashboards.
Use it to understand how leverage and positioning are evolving behind the price, to gauge when the crowd is stretched, and to decide whether to lean with or against that pressure. Attach it to your existing signals, not in place of them.
Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source!
Here is the original script:
