Smart Money Concepts - (confirmed + ATR + MTF ) ritMaps market structure with confirmed pivots and quantifies SMC events (CHoCH/SMS/BMS) as real-time probabilities. Includes ATR swing-size filter, HTF MA bias gate, and label throttling to cut noise. Shows Premium/Discount/Mid zones and a compact table with Wins/Losses, Profitability, Laplace-smoothed rate, and Wilson confidence band. Optional alerts output ticker, timeframe, and the current probability summary. Designed to be confirmation-based (reduced repaint) and adaptable to any symbol/timeframe.
Các mẫu biểu đồ
Smart Money Concepts - v2 (confirmed + ATR + MTF + smoothing)Maps market structure with confirmed pivots and quantifies SMC events (CHoCH/SMS/BMS) as real-time probabilities. Includes ATR swing-size filter, HTF MA bias gate, and label throttling to cut noise. Shows Premium/Discount/Mid zones and a compact table with Wins/Losses, Profitability, Laplace-smoothed rate, and Wilson confidence band. Optional alerts output ticker, timeframe, and the current probability summary. Designed to be confirmation-based (reduced repaint) and adaptable to any symbol/timeframe.
Smart Money Concepts Probability (Expo) RitSmart Money Concepts Probability (Expo) — v2
Overview
This indicator maps market structure using confirmed swing pivots and quantifies the follow-through of SMC events—CHoCH, SMS, and BMS—as real-time probabilities. It adds robust filters (ATR swing size, multi-timeframe bias) and statistically honest display (Laplace smoothing and Wilson confidence bands) to reduce noise and make the stats you see on the chart closer to what actually plays out.
How it works
Detects confirmed swing highs/lows with ta.pivothigh/ta.pivotlow.
Tracks a structure state machine: bias flips to CHoCH (±1), confirms to SMS (±2), then BMS/continuations (>|±2|).
Logs every transition as a success (continuation) or failure (reversion) and computes: Raw Win%, Laplace-smoothed probability, and Wilson confidence interval.
Draws Premium/Discount/Mid zones between the latest swing high/low and shows contextual probability labels at the extremes.
Filters & Upgrades
ATR swing filter: ignores tiny breaks; only counts pivots that exceed a user-set multiple of ATR.
MTF bias gate: only allows bullish sequences when price is above an HTF moving average (and vice-versa).
Label throttle: minimum bar spacing between plotted events to keep charts readable.
Response vs. Period: choose short-term or long-term structure resolution.
Outputs & Visuals
On-chart labels/lines for CHoCH/SMS/BMS (bull/bear colors).
Top-right table with Wins, Losses, Profitability, Laplace p̂, and Wilson CI (with sample-size guard).
Probability labels near current Up/Dn extremes.
Optional alerts containing ticker, timeframe, and the current probability summary.
Using the stats
Profitability = all-time raw follow-through rate.
Laplace p̂ stabilizes small-N swings.
Wilson CI shows a conservative range; the lower bound is a practical “floor.”
For best results, align entries with MTF bias, ensure swings pass the ATR filter, and favor entries in Discount (for longs) / Premium (for shorts) when the structure agrees.
Notes
This is an analytical tool, not a signal service. Always validate on your markets/timeframes and combine with risk management.
THUẬN TZEThis Pine Script indicator, named "THUẬN TZE," is designed for TradingView and provides two main features for technical analysis.
Key Features
Trading Session Visualization: The script draws colored boxes on the chart to highlight the price range of three major trading sessions: Asia, London, and New York. Users can customize the time, color, and visibility of each session. A live, "running" box is also displayed for the current session.
Exponential Moving Averages (EMAs): It plots three key Exponential Moving Averages on the chart with customizable lengths: 21, 50, and 200. These lines are used to identify trend direction and potential support/resistance levels.
How It Works
The script is structured into four parts:
User Inputs: This section allows for full customization of the indicator, including session times (in UTC), colors, and EMA lengths.
Session Logic Function: A core function calculates the high and low prices for each session and then draws the corresponding colored box. It also manages the real-time drawing of the current session's box.
Function Calls: The session logic function is called three times, once for each session, using the parameters defined by the user.
EMA Calculation: The final part calculates and plots the three EMAs directly onto the chart.
Big Candle Alert (Body Only + Strict Breakout)Beta script for assessing candle breakout strength relative to previous candles (thanks Chat GPT). Use in accordance with volume heat map
THUẬN-TBThe provided code combines two distinct Pine Script indicators into a single script for TradingView, both based on Smart Money Concepts (SMC).
1. The "THUẬN-TB" Indicator
This part of the code focuses on identifying and visualizing supply and demand zones. It automatically detects and plots swing highs and lows to define these zones, which are areas of potential selling (supply) or buying (demand) pressure. The indicator also tracks break of structures (BOS), which occur when price closes beyond these zones, signaling a continuation of the trend. It can also display a zigzag line and price action labels like HH and LL.
2. The "CauTrucFVG" Indicator
This section is dedicated to tracking market structure, Fair Value Gaps (FVGs), and Fibonacci retracement levels.
FVGs are price imbalances identified by three-candle patterns, and the script draws boxes to highlight these areas, which are expected to be filled by future price movements.
Market structure is defined by BOS (for trend continuation) and Change of Character (CHoCH) (for trend reversal), both of which are automatically labeled on the chart.
Finally, the indicator can draw five customizable Fibonacci levels based on the current market structure, providing potential points of interest for trades.
In essence, the combined script provides a comprehensive toolkit for SMC traders, using the first part to find key liquidity areas (supply/demand) and the second part to analyze the broader market structure and imbalances.
THUẬN-TBThe provided code combines two distinct Pine Script indicators into a single script for TradingView, both based on Smart Money Concepts (SMC).
1. The "THUẬN-TB" Indicator
This part of the code focuses on identifying and visualizing supply and demand zones. It automatically detects and plots swing highs and lows to define these zones, which are areas of potential selling (supply) or buying (demand) pressure. The indicator also tracks break of structures (BOS), which occur when price closes beyond these zones, signaling a continuation of the trend. It can also display a zigzag line and price action labels like HH and LL.
2. The "CauTrucFVG" Indicator
This section is dedicated to tracking market structure, Fair Value Gaps (FVGs), and Fibonacci retracement levels.
FVGs are price imbalances identified by three-candle patterns, and the script draws boxes to highlight these areas, which are expected to be filled by future price movements.
Market structure is defined by BOS (for trend continuation) and Change of Character (CHoCH) (for trend reversal), both of which are automatically labeled on the chart.
Finally, the indicator can draw five customizable Fibonacci levels based on the current market structure, providing potential points of interest for trades.
In essence, the combined script provides a comprehensive toolkit for SMC traders, using the first part to find key liquidity areas (supply/demand) and the second part to analyze the broader market structure and imbalances.
Chanlun FBFD pen czsc Channel Chan Theory
🏆 Chan Zhong Shuo Chan FBFD Pure Segment Version Indicator - Flagship Edition
Background
A decade of craftsmanship, a significant upgrade
This Chanlun indicator has undergone nearly 10 years of meticulous refinement and continuous optimization. Since its initial design in 2015, it has been validated through actual trading. Now newly upgraded and launched on TradingView, it offers more comprehensive functions and superior performance.
It truly implements all core theories from the original Chanlun text, including a complete system of K-line inclusion, fractal recognition, pen and segment analysis, center theory, pure pen and segment division (classification of the first and second cases in the original text), divergence and reversal, providing professional and comprehensive technical analysis tools for Chanlun enthusiasts in the industry.
Chinese Translation for User Indicator Interface:
● 顶背离: Top Divergence
● 底背离: Bottom Divergence
● 顶背驰: Top Divergence Including Trend Structure
● 底背驰: Bottom Divergence Including Trend Structure
📦 Parameter Settings
● Number of K-lines to calculate: Up to 5000, which is the maximum data available even for free TradingView users
● Pen detail parameters: Old/new pens, sub-high/low pens, high/low pens, strict pens can be adjusted and selected according to the target numbers
● Segment detail parameters: Adjustable
● MA and Bollinger Bands display parameters: Check to display, uncheck to hide as needed
● Center price and pen/segment price display: Check to display, uncheck to hide as needed
● MACD parameters: Can be adjusted as needed, including fast, slow, and signal line period settings
● MA parameters: Default parameters can be manually adjusted
● Pen divergence, segment divergence, pen-segment reversal display: Check to display, uncheck to hide as needed
● Pen-segment divergence and reversal alerts: Disabled by default, can be enabled by checking. Then in TradingView's alert interface, select the indicator in conditions, set "Any alert() function call", set notification type, and create the alert to receive notifications
🔥 Integration of other commonly used indicators and reasons:
✅ Moving Averages: Since Chanlun uses MA overlay analysis, this makes it more convenient for users to analyze trends from different perspectives, so it's essential to add
✅ Bollinger Bands: Bollinger Bands channel, combined with Chanlun, can also provide more perspectives for trend analysis and improve accuracy, so it's also added
✅ MACD: This is an indispensable indicator for analyzing trend strength in Chanlun theory, so it must be integrated for convenient analysis
✅ Chanlun ZSLX pen czsc Channel Chan Theory and Chanlun FBFD pen czsc Channel Chan Theory scripts share some underlying source code and must be integrated because:
The underlying K-line inclusion, MACD divergence and reversal, K-line objects, and pen parts in the original Chanlun text are the same, but the top-level segment and trend recursion division principles, display effects, and functions are significantly different. Additionally, TradingView community has source code quantity restrictions, making it impossible to fully integrate the two versions into one. Therefore, the kxian object returned by the Start_kxian function, the bi object returned by the Start_bi function, the source code for drawing K-line centers in showKxianzsfunc, and the MACD divergence and reversal judgment code in this script will have integrated parts with the same source code.
🎯 Technical Principles
🔥 1. Comprehensive coverage of original Chanlun functions
✅ Multi-level center combination - pen centers, K-line centers, segment centers
● Chanlun K-line centers: The lowest level Chanlun centers
● Chanlun pen centers: Pen center division intervals from the original text, taking the lowest point of the overlapping part as the high point and the highest point of the overlapping part as the low point
● Chanlun segment centers: Segment center division intervals from the original text, taking the lowest point of the segment overlapping part as the high point and the highest point of the segment overlapping part as the low point
✅ Divergence and reversal warning - divergence and reversal algorithm
● Principle: Adopts MACD strength statistics from the original Chanlun text, distinguishes between divergence/reversal in pen structures and segment structures, marks specific values on the graph, differentiates MACD strength between pens and segments. This will be further upgraded with more complex statistics in the future, but currently serves as a reference for the current cycle. Specific analysis still requires multi-cycle strength analysis.
✅ Original two-level pure segmentation - exclusive algorithm
● Principle: Strictly follows segment division from the original text, distinguishing between the first and second cases, as well as special fractal inclusion processing for the second case, and segment rules. Some segments may not end at the highest or lowest points.
✅ Real-time K-line inclusion processing - intelligent recognition of inclusion relationships
● In rising K-lines, take the higher high and higher low values (take the higher among highs)
● In falling K-lines, take the lower high and lower low values (take the lower among lows)
✅ Accurate fractal marking - automatic recognition of top and bottom fractals
● By setting the old/new pen parameter to 2, the high and low points of each top and bottom fractal will be drawn
● Top fractal: Among three K-lines, the middle K-line has a higher high and a higher low than both sides
● Bottom fractal: Among three K-lines, the middle K-line has a lower low and a lower high than both sides
✅ Multi-dimensional pen and segment analysis - complete system of pens and segments
● Old pens: Traditional strict pen definition in Chanlun, consistent with the original text
● New pens: Traditional new pen definition in Chanlun, meeting the relaxed pen conditions in the original text
● Fractal pens: Pens formed by top and bottom fractals, with sensitive price response (many peers mark fractal pens of this cycle as sub-level)
● Segments: This version adopts a recursive approach, treating some pens as segments in certain places. Most places are the same as pure segmentation, but with different line-drawing principles
✅ Multi-level center combination - K-line centers, pen centers, segment centers
● K-line centers: The smallest level Chanlun centers
● Pen centers: Adopt pen center division intervals from the original text, taking the lowest point of the overlapping part as the high point and the highest point of the overlapping part as the low point
● Segment centers: Adopt segment center division intervals from the original text, taking the lowest point of the segment overlapping part as the high point and the highest point of the segment overlapping part as the low point
⚙️ Indicator Features
⚙️ 1. Diversified pen and segment algorithm engine
🎨 Three pen algorithms: "Chanlun old pen", "Chanlun new pen", "top-bottom fractal pen", with more custom pen types to be added later
🔧 Common parameter adjustments: Equal high/low points, highest/lowest point pens, sub-high/low pens, fractal interval judgment, and other refined controls
📊 Dual segment division: Original pure segmentation + large-level segmentation
🎯 Multiple personalized parameter adjustments: Many other different parameters to meet different Chanlun enthusiasts' understanding needs and trading styles
🌟 2. Multi-level intelligent combination system
📈 Synchronous calculation and display: K-line centers, pens, pen centers, segments, large-level segments, segment center linkage analysis
🏗️ Exclusive pure segmentation algorithm: Accurately identifies first and second case segment divisions
🎪 Multi-level center system: Complete coverage of three center levels
📊 Panoramic market analysis: Provides comprehensive market dynamic insights
🎨 3. Professional visual customization
🌈 Custom color schemes - perfectly matching personal chart styles
💰 Price label display - marking of key price levels for pens, segments, and centers
📐 Professional auxiliary tools - practical functions such as moving averages and Bollinger Bands
🎁 MACD - supporting indicator in the sub-chart
⏰ 4. Perfect K-line replay support
🔄 Historical data review - perfectly supports TradingView replay function
📚 Market research tool - enhances historical trend analysis capabilities
🧠 Decision-making ability enhancement - deepens market insight and judgment level
📦 Product Versions
🥇 Version 1: Professional Segmentation Edition
Suitable for: Traditional Chanlun enthusiasts pursuing classic segmentation algorithms
Core functions:
🔸 Multiple pen algorithms: Fractal pens, new pens, old pens, sub-high/low pens, highest/lowest pens
🔸 Pen and segment detail adjustments: Massive parameters supporting various pen division schemes
🔸 Complete center system: K-line centers, pen centers, segment centers
🔸 Intelligent warning system: Divergence and reversal prompts and alarm functions
🔸 Recursive large levels: Current level and large-level segmentation analysis
**📊
💡 Peer comparison: The "professional version" functions of other platforms are just basic configurations here
🎊 Experience now and start your professional Chanlun analysis journey!
Pre-sales note: The Chan Zhong Shuo Chan theory is relatively complex. The software tries its best to implement the functions described in the original text, but there may still be some flaws that cannot be handled perfectly. These will be gradually improved in the future. Customers who are concerned about this can try it for a few days first, purchase it if they find it suitable, or treat it as a test if not. We welcome everyone to feedback problems and bugs, and the shopkeeper will update, modify, and optimize in the future when available.
1. K-line inclusion from the original text
2. Pen and segment multi-level divergence and reversal prompts
3. More than three types of pens that can be adjusted
4. Including pen and segment area strength statistics + center high and low price display
5. Three-level center (K-line center, pen center, segment center) detailed analysis
6. Multiple moving averages display
7. Commonly used superimposed Bollinger Bands
8. Original text segment division rules with 2-level segments
9. Some alarm functions designed, including divergence and reversal, with more to be added in the future
10. A total of dozens of optional parameter settings
11. Free trial
🏆 缠中说禅FBFD 纯分段版指标 - 旗舰版
背景
十年匠心，重磅升级
这套缠中说禅指标历经近10年的精心打磨与持续优化，从2015年初版设计至今，已经过实战验证。现全新升级登陆TradingView，功能更加完善，性能更加卓越。
真正实现了缠论原文中的所有核心理论，包括K线包含、分型识别、笔段分析、中枢理论、 纯分笔分段（原文第一种和第二种情况分类）、背离背驰等完整体系，为缠论爱好者提供业界专业、全面的技术分析工具。
📦参数设置
- 计算K线数量：最多计算5000根，免费tradingview用户也只能这么多数据
- 笔细节参数：新旧笔、次高低点笔、最高低点笔、严格笔 可以调整可按标的数字选
● - 线段细节参数: 调整
- 显示均线和布林线参数：根据需要设置打钩就是显示，取消打钩就是隐藏
- 显示中枢价格和笔段价格：根据需要设置打钩就是显示，取消打钩就是隐藏
- macd参数：可以根据自己需要调整参数 快 慢 信号线周期设置
- 均线参数：默认参数可以自己手动调整
- 显示笔背离、段背离、笔段背驰：根据需要设置打钩就是显示，取消打钩就是隐藏
- 笔段背离背驰报警：默认关闭可以设置打钩开启，然后在tradingview的警报界面，条件里选择指标，设置：任何alert()函数调用，再设置通知类型，然后创建报警就可以收到报警
🔥整合其他常用指标和原因：
✅均线：因为缠论里是有使用均线叠加分析，这种更方便用户从不同视角分析走势，所以必须增加
✅布林线：布林线通道，结合缠论，也可以更多的视角分析走势，提高准确度，所以也增加了
✅macd:这个是缠论分析理论里必不可少的分析走势力度的指标，所以也必须整合进来方便分析
✅Chanlun ZSLX pen czsc Channel Chan Theory这个脚本和Chanlun FBFD pen czsc Channel Chan Theory这个脚本有些底层的源码是一样的必须整合原因：
因为缠论原文底层的K线包含、macd背离背驰、K线对象和笔部分都是一样的，但是顶层的线段和走势递归两种划分原理和显示效果和功能是有很大区别，并且tradingview社区的源码量有限制，导致也无法两个版本划线完全整合成一个，所以，这个脚本里的Start_kxian函数返回的kxian对象、 Start_bi函数返回的bi 对象 、showKxianzsfunc画K线中枢部分的源码、macd背离背驰判断部分代码，会有一样的整合部分源码
🎯 技术原理
🔥 1. 全方位缠论原文功能覆盖
● ✅ 多级中枢联立 - 笔中枢、K线中枢、线段中枢
○ - 缠论K线中枢：最低级别的缠论中枢
- 缠论笔中枢：原文的笔中枢划分区间，高点取重叠部分的最低点，低点取重叠部分最高点
- 缠论线段中枢：原文的线段中枢划分区间，高点取线段重叠部分的最低点，低点取线段重叠部分最高点
● ✅ 背离背驰预警 - 背离背驰算法
○ - 原理：采用缠论原文的macd力度统计，区分笔结构的背离背驰和段结构的背离背驰，并且在图形上标上具体数值，区分笔和段的macd力度，后期这个还要继续升级更复杂的统计，仅做本周期的参考，具体也是要多周期力度分析
● ✅ 原文两级别纯分段 - 独家算法
- 原理：严格按原文的线段划分，区分第一种情况和第二种情况，以及特殊的第二种情况分型包含处理，线段规则，有的地方可能不是结束在最高最低点
● ✅ 实时K线包含处理 - 智能识别包含关系
○ - 上涨K线中取高点高值、低点高值，高高取高
- 下跌K线中取高点低值、低点低值，低低取低
● ✅ 精准分型标记 - 顶底分型自动识别
○ - 通过新旧笔参数设置2，会画出每个顶底分型高低点
○ - 顶分型：三根k线中，中间K线高点高于两侧K线，低点也高于两侧
- 底分型：三根k线中，中间K线低点低于两侧K线，高点也低于两侧
● ✅ 多维笔段分析 - 笔、线段完整体系
○ - 老笔：传统缠论严格笔定义，符合原文
- 新笔：传统缠论新笔定义，符合原文宽松笔条件
- 分型笔：顶底分型就成笔，价格反应比较敏锐（同行很多人把本周期分型笔标成次级别）
○ - 线段：这个版本采用递归思路，有的地方一笔处理成段，大部分地方跟纯分段一样，但是划线原理不同
● ✅ 多级中枢联立 - K线中枢、笔中枢、线段中枢
○ - K线中枢：最小级别的缠论中枢
- 笔中枢：采用原文的笔中枢划分区间，高点取重叠部分的最低点，低点取重叠部分最高点
- 线段中枢：采用原文的线段中枢划分区间，高点取线段重叠部分的最低点，低点取线段重叠部分最高点
⚙️ 指标特点
⚙️ 1. 多样化笔段算法引擎
● 🎨 三种笔算法: "缠论旧笔"、"缠论新笔"、"顶底分型笔"，以及后面会增加更多自定义类型笔选择
● 🔧 常见参数调节: 等高低点、最高低点笔、次高低笔、分型区间判断等精细化控制
● 📊 双重段划分: 原文纯分段 +大级别分段
● 🎯 超多个性化参数调整: 还有很多其他不同参数，满足不同缠友的理解需求与交易风格
🌟 2. 多级别智能联立系统
● 📈 同步计算显示: K线中枢、笔、笔中枢、线段、大级别线段、线段中枢联动分析
● 🏗️ 独家纯分段算法: 精确识别第一种、第二种情况线段划分
● 🎪 多级中枢体系: 三重中枢级别完整覆盖
● 📊 全景市场分析: 提供全面的市场动态洞察
🎨 3. 专业视觉定制
● 🌈 自定义配色方案 - 完美匹配个人图表风格
● 💰 价格标识显示 - 笔、段、中枢关键价位标注
● 📐 专业辅助工具 - 均线、布林线等实用功能
● 🎁 MACD - 配套附图指标
⏰ 4. 完美K线回放支持
● 🔄 历史数据回顾 - 完美支持TradingView回放功能
● 📚 市场研究利器 - 提升历史走势分析能力
● 🧠 决策能力增强 - 深化市场洞察与判断水平
📦 产品版本
🥇 版本一：专业分段版
适合：传统缠论爱好者，追求经典分段算法
核心功能：
● 🔸 多种笔算法: 分型笔、新笔、旧笔、次高低点笔、最高低点
● 🔸 笔段细节调整: 海量参数支持各种笔划分方案
● 🔸 完整中枢体系: K线中枢、笔中枢、段中枢
● 🔸 智能预警系统: 背离背驰提示及报警功能
● 🔸 递归大级别: 本级别、大级别分段分析
**📊
💡 同行对比: 其他平台的"专业版"功能，在我们这里只是基础配置
🎊 立即体验，开启专业缠论分析之旅！
售前说明：缠中说禅理论，相对比较复杂，软件尽量实现原文的功能，但是也难免有些瑕疵地方，无法处理到位，这边后期会陆续完善，介意的客户可以先试用几天，觉得合适再买，不合适就当测试下,欢迎大家反馈问题和bug，掌柜有空会后期更新修改和优化
1.原文的K线包含
2.笔段多级别背离背驰提示
3.超过三种笔可以调整
4.包含笔段面积力度统计+中枢高低点价格显示
5.三级别中枢（K线中枢 笔中枢 段中枢）精细分析
6.多个均线显示
7.常用叠加布林
8.原文线段划分规则，并且做2级别段
9.设计了一些报警功能，背离背驰等，后期还会陆续完善
10.总共几十个可选参数设置
11.免费试用
5 Adaptable SMA bandsProfessional-grade technical indicator designed for elite traders who demand precision, visual clarity, and adaptive market analysis.
This sophisticated tool revolutionizes traditional Simple Moving Average analysis by transforming thin lines into dynamic, adaptive bands that provide superior trend identification and market structure visualization across all timeframes and asset classes.
🎯 Key Professional Features
5 Fully Configurable SMAs with independent period, color, and width controls
3 Advanced Adaptation Methods: Price Percentage, ATR Adaptive, Dynamic Volatility
Institutional-Grade Visual Design with thick, clearly visible bands
Real-Time Information Dashboard displaying all active parameters
Professional Default Setup: SMA 8 (Green), SMA 20 (Blue), SMA 200 (Red)
Precision Band Width Control from 0.05% to 2.0% with 0.05% increments
Individual Toggle Control for each moving average
Optional Center Lines for exact price level identification
📈 Advanced Adaptation Technology
Price Percentage Method: Band width as percentage of SMA value
ATR Adaptive Method (Recommended): Automatically adjusts to market volatility using Average True Range
Dynamic Volatility Method: Uses standard deviation for high-volatility instruments
💼 Professional Trading Applications
Multi-Timeframe Trend Analysis: Identify short, medium, and long-term trends simultaneously
Dynamic Support/Resistance Levels: Adaptive bands act as dynamic S/R zones
Market Structure Analysis: Visualize trend strength and momentum shifts
Entry/Exit Signal Enhancement: Clear visual confirmation of trend changes
Risk Management: Better position sizing based on volatility-adjusted bands
🏆 Competitive Advantages
Superior Visual Clarity: Thick bands are easier to identify than traditional thin lines
Automatic Volatility Adjustment: Adapts to any instrument's characteristics
Zoom-Independent Scaling: Maintains visual proportions at any chart zoom level
Universal Compatibility: Works flawlessly on Forex, Stocks, Crypto, Commodities, Indices
⚙️ Recommended Professional Setups
Scalping: SMAs 8, 20, 50 with ATR Adaptive method
Day Trading: SMAs 20, 50, 100 with 0.3-0.5% band width
Swing Trading: SMAs 50, 100, 200 with Dynamic Volatility method
Position Trading: SMAs 100, 200 with 0.5-0.8% band width
TradeX ORB SniperTradeX ORB Sniper — Multi-Range Opening Breakout Framework
This invite-only script is a structured Opening Range Breakout (ORB) tool designed to map price interaction with multiple predefined ranges. It is not a collection of generic settings — all versions and filters are coded in-house and connected through a shared logic engine.
Purpose & Core Design
The ORB Sniper provides four internally coded modes, each referencing a distinct opening range. Depending on market context, ranges may include:
Pre-market session range
5-minute opening range
15-minute opening range
Volume-adaptive range variations
Each mode ensures consistent logic across timeframes, allowing traders to analyze breakout dynamics in a rule-based framework.
Breakout Highlighting
When price closes above or below the active range, the script highlights that candle in gold/yellow (“Get Ready Candle”). This highlight is informational only, serving as a visual marker of when price has left the defined range.
Zone Projection & Box Mapping
To help visualize breakout dynamics, the script plots risk and reward boxes:
Risk Box — initial region mapped from the selected range
Reward Box — projected continuation area based on range displacement
These elements are configurable, giving traders flexibility in how the breakout context is displayed.
Custom Visual Inputs
Users can adjust all visual components directly from the settings panel:
ORB Mode — toggle between V1–V4 range types
Risk Box Color — customize the risk region’s display
Reward Box Color — adjust continuation box visuals
Get Ready Candle Color — select the breakout candle highlight color
Inputs in Status Line — optional summary display at the top of the chart
This ensures the framework is adaptable to any chart theme or personal preference.
Development Process
The ORB Sniper was first modeled in Python, where volume, volatility, and technical variations were looped through to refine range definitions. The most effective rules were then coded into Pine Script, creating a streamlined, repeatable breakout framework.
Disclaimer
This is an original, closed-source TradeX Labs tool. It references known concepts (opening ranges, volume dynamics) within a proprietary rule-based framework. It is intended for visual analysis only and does not provide trade signals or guarantee results. Default settings are for illustration; traders should adjust configuration to their instrument and timeframe.
Fibonacci Momentum CascadeThe Foundation: FMC Indicator:
The Fibonacci Momentum Cascade (FMC) is an AI-enhanced technical indicator that automates Fibonacci analysis, removing the guesswork and doubt that plagues manual drawing. Instead of relying on subjective human input, the FMC uses a proprietary Momentum Cascade Engine™ that constantly analyzes market strength to detect significant shifts in buying and selling pressure. When confirmed, it automatically identifies the most relevant market trend, cascades fresh Fibonacci levels, and grades potential technical setups. It features 100% automated swings, adaptive real-time analysis, and professional setup grading with Primary Setups (▲P / ▼P) for A+ formations and Secondary Setups (▲S / ▼S) for supplementary patterns.
The Adaptive Edge: AI Co-Pilot:
Our AI analyzes multiple data sources including market sentiment, technical patterns, fundamental factors, and news events to generate comprehensive market insights. It also fine-tunes the FMC indicator inputs for today's market, outputting personalized settings optimized for multiple timeframes (1d, 4h, 1h, 15m, 5m) — removing guesswork and maximizing precision for your asset.
The Force Multiplier: The Hub:
The Hub is our community intelligence platform where users share market analyses and insights. When you or others request AI analyses, they become available in The Hub for everyone to access without using credits. This creates a growing library of market insights across all asset classes. You can browse community analyses, discover trending assets, and benefit from the collective wisdom of experienced traders—essentially getting free analyses beyond your monthly credits.
Global Liquidity Proxy vs BitcoinGlobal Liquidity Proxy vs Bitcoin. Helps to understand the cycles with liquidty.
Global Liquidity Proxy (Fed + ECB + BoJ + PBoC)Global Liquidity Proxy (Fed + ECB + BoJ + PBoC) Vs BTC
All in oneict trading session, silver bullet. perfect session of trading. help with timing to enter for max profit. also with high and low of previous day, week, month
ADR LadderAverage Daily Range Indicator.
Buy zone is from +3% to +20%. TP before 50%.
Sell zone is from -3% to -20%. TP before -50%.
Combine with other indicators for confluence especially for support and resistance levels.
Racktor Analysis Assistant
Racktor Analysis Assistant — Feature Overview
The Racktor Analysis Assistant is a multi-module market-structure toolkit that plots pivots, BoS/ChoCh levels, session breakouts, inside bars, and higher-timeframe BTS/STB trap signals — with complete styling controls and alerting.
Smart Pivot Engine (ZigZag Core)
- Adaptive pivot period switching based on timeframe threshold.
- ZigZag stream tracks pivot types (H/L, HH/HL/LH/LL) with Major & Minor streams.
- Clean visuals: optional ZigZag line & pivot labels with customizable style, width, and color.
Major & Minor Structure Signals
- Detects BoS and ChoCh for both Major and Minor swings.
- Updates External Trend on Major events and Internal Trend on Minor events.
- One-time triggers per level via locking.
- Per-category styling for Major/Minor Bullish & Bearish BoS and ChoCh.
- Alerts with symbol, pivot, timeframe, and time, limited to specific timeframes if desired.
Inside Bar Module
- Toggleable Inside Bar detection.
- Custom colors for bullish and bearish inside bars.
- Optional alerts on detection.
Session Breakout Suite
- Custom session window with shaded box.
- On session close, plots High/Mid/Low breakout lines extendable for N hours.
- Optional previous day & week high/low lines.
- Breakout vs Liquidity Sweep modes (close-based or wick-based confirmation).
- Display styles: Fixed (triangles) or Moving (vertical dotted lines).
- Alerts for “first event” or “every event.”
BTS/STB Trap (Higher-Timeframe ID1/ID2 Logic)
- BTS/STB toggle with selectable check timeframe (default: 4H).
- STB (bullish, Sell→Buy): strict ID1/ID2 relationships, both candles bullish; green circle below HTF ID1 low.
- BTS (bearish, Buy→Sell): strict ID1/ID2 relationships, both candles bearish; red circle above HTF ID1 high.
- Non-repainting; dots appear only at HTF candle close.
- Timeframe-aware rendering (dots show only on selected timeframe).
- Alerts for STB/BTS at HTF close.
Styling & Limits
- Per-feature color/style/width customization.
- Generous limits for boxes, labels, and lines.
- Session tools limited to ≤ 120-minute charts for accuracy.
Anti-Repaint
- HTF signals use lookahead_off and HTF-close gating to avoid repainting.
- BoS/ChoCh and Session logic track prior values and use locks to prevent duplicates.
Quick Start
Set the Timeframe Threshold and pivot periods for lower/higher TFs.
Enable desired Major/Minor BoS/ChoCh lines and customize styles.
Activate Inside Bar Module if required.
Configure Session Breakout window, mode, and alert settings.
Enable BTS/STB detection, keeping 4H default or selecting a custom TF.
Add alerts for chosen signals and let the assistant annotate structure, sessions, and HTF traps.
Best Use with Racktor's Core Trading Strategy
For traders who want structure clarity without clutter, this Analysis-Assistant is built to keep your chart actionable and adaptive.
Swing High/Low Levels (Auto Remove)Plots untapped swing high and low levels from higher timeframes. Used for liquidity sweep strategy. Cluster of swing levels are a magnet for price to return to and reverse. Indicator gives option for candle body or wick for sweep to remove lines.
Ultimate Trading Suite🎯 ICT Concepts:
Market Maker Model - Liquidity identification
Order Blocks - High volume reversal zones
Fair Value Gaps - Price imbalance areas
Liquidity Zones - Previous highs/lows
📊 Trading Signals:
Buy/Sell Alerts based on ICT concepts
Entry Price with confirmation
Stop Loss based on ATR multiples
3 Price Targets with customizable risk/reward
📈 Reversal Zones:
High Volume Reversal - Potential exhaustion points
Low Volume Reversal - Accumulation/distribution zones
Liquidity Takeout - Break of key levels
⚡ Risk Management:
Adjustable Risk/Reward ratio
ATR-based stop loss
Multiple profit targets
Visual trade setup display
🔔 Comprehensive Alerts:
Buy/Sell signals with reasons
Reversal zone notifications
Complete trade setup details
Real-time alert conditions
The script provides complete ICT-based trading signals with proper risk management and visual trade setups!
Swing High/Low Levels (Auto Remove)Plots untapped swing high and low levels from higher timeframes. Used for liquidity sweep strategy. Cluster of swing levels are a magnet for price to return to and reverse. Indicator gives option for candle body or wick for sweep.
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action
1. Introduction
1.1 Overview
ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active.
The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured:
import TradingView/ta/10 as tvta
// Determine lower timeframe string based on user choice and chart resolution
string lower_tf_breakout = use_custom_tf_input ? custom_tf_input :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
// Request up/down volume (both positive)
= tvta.requestUpAndDownVolume(lower_tf_breakout)
Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity.
Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate.
Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history.
Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”)
2. Price‑Structure Backbone
Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations.
2.1 What it draws
• Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded.
• Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly.
• Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels.
• Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick.
2.2 Key settings
• length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels.
• pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings.
• point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded.
• label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price.
• Styling inputs for trend lines, horizontal lines and labels (color, width and line style).
Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots.
These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle.
The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable.
3. Breakout Module
3.1 Concept
This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled.
3.2 Inputs
• lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly.
• vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout.
• rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution.
• ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases).
• use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe.
• Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width.
3.3 Detection logic
1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume.
2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window.
3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive.
4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history.
5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1).
6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector.
Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move.
Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold.
4. Market Phase Module (Volume Only)
4.1 Concept
Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table.
4.2 Inputs
• phase_period_len: Number of bars over which to compute sums and ratios for phase detection.
• phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume.
• strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation).
• Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles.
• show_phase_module: Toggles the entire phase detection subsystem.
• show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected.
4.3 Detection logic
The module computes three families of statistics over the volume window defined by phase_period_len:
1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends.
2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction.
3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues.
The algorithm then combines these signals:
• For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case.
• For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category.
If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” .
4.4 Outputs
• Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral).
• On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences.
Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began.
Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window.
5. OB/OS Spike Module
5.1 What overbought/oversold means here
In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate.
5.2 Inputs
• minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print.
• syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals.
• Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike.
• Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable.
• Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width.
5.3 Detection logic
1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos.
2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS.
3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold).
4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought.
5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line.
Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels.
Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow.
6. Buyer/Seller Trap Module
6.1 Concept
A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps.
6.2 Inputs
• trap_lookback_len: Window length used to rank extremes and detect sweeps.
• trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep.
• trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.)
• trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed.
• Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps.
• Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart.
6.3 Scoring logic
The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped):
1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick.
2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick.
3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand.
4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa.
5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average.
The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars.
Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label.
Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range.
7. Sharp Move Module
7.1 Concept
Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation.
7.2 Inputs
• sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels.
• sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window.
• sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax.
• sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks.
• sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range).
• sharpScoreRisk: Minimum number of conditions that must be true to print a risk label.
• sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation.
• sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution).
• Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves.
• Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn.
7.3 Conditions (six per side)
For each side, the indicator computes six boolean conditions and sums them to form a score:
1. Dominance (instant and cumulative):
– Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume.
– Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks).
2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish).
3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window.
4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range).
5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile.
6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed.
Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores.
7.4 Scoring and labels
• Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar.
• Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1).
• Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled.
Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move.
Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window.
8. Market‑Maker / Spread‑Capture Module
8.1 Concept
Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets.
8.2 Inputs
• scalpLookback: Window length used to compute volume averages.
• scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple.
• scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement.
• scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%.
• Label settings: ATR length, multiplier, size, colors, connector style and width.
• Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels.
8.3 Signal
When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled.
Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window.
9. Money Flow Module
9.1 Concept
To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow.
9.2 Inputs
• mf_period_len_mf: Number of bars used for summing buy and sell dollars.
• Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width.
• Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed.
9.3 Calculations
• Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $.
• Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum().
• Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate.
• Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences.
Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context.
In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period.
10. Info Table
10.1 Purpose
When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active.
10.2 Symbols
• ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money.
• MA — Moving average. In the table it shows the average value of a series over the lookback period.
• Σ (Sigma) — Cumulative sum over the chosen lookback period.
• Δ (Delta) — Difference between buy and sell values.
• B / S — Buyer and seller share of total volume, expressed as percentages.
• Ref. Price — Reference price for breakout calculations, based on the latest pivot.
• Status — Indicates whether a breakout condition is currently active (True) or has failed.
10.3 Row definitions
1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period.
2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity.
3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period.
4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume.
5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period.
6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume.
7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more.
8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed.
9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral.
10. Money Flow – The final rows display dollar amounts and status:
– ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period.
– ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum.
– Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively.
– Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral.
– Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral.
The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out).
11. Conclusion & Final Remarks
This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart.
A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window.
Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
ICT SIlver Bullet Trading Windows UK times🎯 Purpose of the Indicator
It’s designed to highlight key ICT “macro” and “micro” windows of opportunity, i.e., time ranges where liquidity grabs and algorithmic setups are most likely to occur. The ICT Silver Bullet concept is built on the idea that institutions execute in recurring intraday windows, and these often produce high-probability setups.
🕰️ Windows
London Macro Window
10:00 – 11:00 UK time
This aligns with a major liquidity window after the London equities open settles and London + EU traders reposition.
You’re looking for setups like liquidity sweeps, MSS (market structure shift), and FVG entries here.
New York Macro Window
15:00 – 16:00 UK time (10:00 – 11:00 NY time)
This is right after the NY equities open, a key ICT window for volatility and liquidity grabs.
Power Hour
Usually 20:00 – 21:00 UK time (3pm–4pm NY time), the last trading hour of NY equities.
ICT often refers to this as another manipulation window where setups can form before the daily close.
🔍 What the Indicator Does
Draws session boxes or shading: so you can visually see the London/NY/Power Hour windows directly on your chart.
Macro vs. Micro time frames:
Macro windows → The ones you set (London & NY) are the major daily algo execution windows.
Micro windows → Within those boxes, ICT expects smaller intraday setups (like a Silver Bullet entry from a sweep + FVG).
Guides your trade selection: it tells you when not to hunt trades everywhere, but instead to wait for price action confirmation inside those boxes.
🧩 How This Fits ICT Silver Bullet Trading
The ICT Silver Bullet strategy says:
Wait for one of the macro windows (London or NY).
Look for liquidity sweep → market structure shift → FVG.
Enter with defined risk inside that hour.
This indicator essentially does step 1 for you: it makes those high-probability windows visually obvious, so you don’t waste time trading random hours where algos aren’t active.
SuperTrendSAP1212This indicator combines Supertrend, VWAP with bands, and an optional RSI filter to generate Buy/Sell signals.
How it works
Supertrend Flip (ATR-based): Detects when trend direction changes (from bearish to bullish, or bullish to bearish).
VWAP Band Filter: Signals only trigger if the candle close is beyond the VWAP bands:
Buy = Supertrend flips up AND close > VWAP Upper Band
Sell = Supertrend flips down AND close < VWAP Lower Band
Optional RSI Filter:
Buy requires RSI < 20
Sell requires RSI > 80
Can be enabled/disabled in settings.
Features
Choice of VWAP band calculation mode: Standard Deviation or ATR.
Adjustable ATR/StDev length and multiplier for VWAP bands.
Toggle Supertrend, VWAP lines, and Buy/Sell labels.
Alerts included: add alerts on BUY or SELL conditions (use Once Per Bar Close to avoid intrabar signals).
Use
Works best on intraday or higher timeframes where VWAP is relevant.
Use the RSI filter for more selective signals.
Can be combined with your own stop-loss and risk management rules.
⚠️ Disclaimer: This script is for educational and research purposes only. It is not financial advice. Always test thoroughly and trade at your own risk.
