OPEN-SOURCE SCRIPT
NQ Liquidity Zones (Pro Cluster - Ultimate) STM V1
# 📊 Liquidity Zones (Pro Cluster – Ultimate)
## 🧠 Overview
This indicator is a **multi-factor liquidity clustering engine** designed to identify high-probability price reaction zones using:
* Price density clustering (HLC3-based)
* Volume-weighted confirmation
* Relative volume filtering
* Multi-timeframe aggregation
* Session-aware liquidity separation (RTH vs overnight)
* Dynamic zone scoring + ranking system
Instead of drawing arbitrary support/resistance lines, it builds **statistically validated liquidity zones** based on repeated price interaction and participation strength.
---
## ⚙️ Core Concept
Markets tend to rotate around areas where:
* Price revisits frequently (liquidity accumulation)
* Volume participation increases (order concentration)
* Sessions overlap or transition (structural imbalance zones)
This tool identifies those regions by scoring price levels based on:
* Touch frequency (price clustering)
* Volume intensity (relative participation)
* Freshness (recency of interaction)
* Session behavior (RTH vs overnight separation)
---
## 📈 How It Works
### 1. Multi-Timeframe Data Engine
The indicator optionally pulls higher timeframe data to build **institutional-grade zones** that reflect broader liquidity structure, not just local noise.
---
### 2. Cluster Detection
Each price level is evaluated across a rolling lookback window:
* Prices within ATR-based proximity are grouped
* Each cluster accumulates:
* Touch count
* Relative volume contribution
* Session-based participation bias
---
### 3. Scoring System
Every cluster receives a composite strength score based on:
* Density of price interaction
* Volume weighting (optional)
* Session behavior (regular vs overnight liquidity)
* Recency of last interaction
Only clusters above a **minimum strength threshold** are promoted to active zones.
---
### 4. Zone Classification
Zones are automatically categorized as:
* **Support Zones (Demand)** → price below current market
* **Resistance Zones (Supply)** → price above current market
* **ETH King Zone (optional highlight)** → highest overnight liquidity concentration
---
### 5. Dynamic Filtering
To remove noise, the system filters zones using:
* Minimum strength score
* Minimum relative volume threshold
* Age-based decay (zones lose relevance over time)
* Sensitivity cutoff for stale liquidity
---
### 6. Visual Structure
Each zone is rendered as:
* A shaded liquidity band (not a thin line)
* Color-coded by type (supply/demand)
* Optional “King Zone” highlight for dominant liquidity clusters
* Transparent aging effect to show weakening levels over time
---
### 7. Alert Engine
The script generates real-time alerts for:
* **Zone Entry**
→ Price enters a liquidity zone from outside
* **Zone Break**
→ Price breaks through a liquidity zone boundary
Alerts are ranked so only the strongest zones trigger notifications (configurable top-N filtering).
---
## 🧩 What Makes It “Pro Grade”
Unlike standard support/resistance tools, this model:
* Uses **statistical clustering instead of manual pivots**
* Incorporates **volume-weighted liquidity strength**
* Separates **session-based liquidity regimes**
* Ranks zones dynamically instead of treating all levels equally
* Applies **aging decay to reflect real market relevance**
---
## 📌 Best Use Cases
* Intraday liquidity tracking (scalping / day trading)
* Breakout confirmation zones
* Reversal reaction areas
* Session transition analysis (Asia → London → NY)
* Institutional-style liquidity mapping
---
## ⚠️ Important Note
This tool does not predict direction.
It identifies **where liquidity is concentrated**, not what price will do — allowing traders to align entries around statistically significant reaction zones rather than arbitrary levels.
---
## 🧠 Overview
This indicator is a **multi-factor liquidity clustering engine** designed to identify high-probability price reaction zones using:
* Price density clustering (HLC3-based)
* Volume-weighted confirmation
* Relative volume filtering
* Multi-timeframe aggregation
* Session-aware liquidity separation (RTH vs overnight)
* Dynamic zone scoring + ranking system
Instead of drawing arbitrary support/resistance lines, it builds **statistically validated liquidity zones** based on repeated price interaction and participation strength.
---
## ⚙️ Core Concept
Markets tend to rotate around areas where:
* Price revisits frequently (liquidity accumulation)
* Volume participation increases (order concentration)
* Sessions overlap or transition (structural imbalance zones)
This tool identifies those regions by scoring price levels based on:
* Touch frequency (price clustering)
* Volume intensity (relative participation)
* Freshness (recency of interaction)
* Session behavior (RTH vs overnight separation)
---
## 📈 How It Works
### 1. Multi-Timeframe Data Engine
The indicator optionally pulls higher timeframe data to build **institutional-grade zones** that reflect broader liquidity structure, not just local noise.
---
### 2. Cluster Detection
Each price level is evaluated across a rolling lookback window:
* Prices within ATR-based proximity are grouped
* Each cluster accumulates:
* Touch count
* Relative volume contribution
* Session-based participation bias
---
### 3. Scoring System
Every cluster receives a composite strength score based on:
* Density of price interaction
* Volume weighting (optional)
* Session behavior (regular vs overnight liquidity)
* Recency of last interaction
Only clusters above a **minimum strength threshold** are promoted to active zones.
---
### 4. Zone Classification
Zones are automatically categorized as:
* **Support Zones (Demand)** → price below current market
* **Resistance Zones (Supply)** → price above current market
* **ETH King Zone (optional highlight)** → highest overnight liquidity concentration
---
### 5. Dynamic Filtering
To remove noise, the system filters zones using:
* Minimum strength score
* Minimum relative volume threshold
* Age-based decay (zones lose relevance over time)
* Sensitivity cutoff for stale liquidity
---
### 6. Visual Structure
Each zone is rendered as:
* A shaded liquidity band (not a thin line)
* Color-coded by type (supply/demand)
* Optional “King Zone” highlight for dominant liquidity clusters
* Transparent aging effect to show weakening levels over time
---
### 7. Alert Engine
The script generates real-time alerts for:
* **Zone Entry**
→ Price enters a liquidity zone from outside
* **Zone Break**
→ Price breaks through a liquidity zone boundary
Alerts are ranked so only the strongest zones trigger notifications (configurable top-N filtering).
---
## 🧩 What Makes It “Pro Grade”
Unlike standard support/resistance tools, this model:
* Uses **statistical clustering instead of manual pivots**
* Incorporates **volume-weighted liquidity strength**
* Separates **session-based liquidity regimes**
* Ranks zones dynamically instead of treating all levels equally
* Applies **aging decay to reflect real market relevance**
---
## 📌 Best Use Cases
* Intraday liquidity tracking (scalping / day trading)
* Breakout confirmation zones
* Reversal reaction areas
* Session transition analysis (Asia → London → NY)
* Institutional-style liquidity mapping
---
## ⚠️ Important Note
This tool does not predict direction.
It identifies **where liquidity is concentrated**, not what price will do — allowing traders to align entries around statistically significant reaction zones rather than arbitrary levels.
---
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Thông tin và các ấn phẩm này không nhằm mục đích, và không cấu thành, lời khuyên hoặc khuyến nghị về tài chính, đầu tư, giao dịch hay các loại khác do TradingView cung cấp hoặc xác nhận. Đọc thêm tại Điều khoản Sử dụng.
Mã nguồn mở
Theo đúng tinh thần TradingView, tác giả của tập lệnh này đã công bố nó dưới dạng mã nguồn mở, để các nhà giao dịch có thể xem xét và xác minh chức năng. Chúc mừng tác giả! Mặc dù bạn có thể sử dụng miễn phí, hãy nhớ rằng việc công bố lại mã phải tuân theo Nội quy.
Thông báo miễn trừ trách nhiệm
Thông tin và các ấn phẩm này không nhằm mục đích, và không cấu thành, lời khuyên hoặc khuyến nghị về tài chính, đầu tư, giao dịch hay các loại khác do TradingView cung cấp hoặc xác nhận. Đọc thêm tại Điều khoản Sử dụng.