The Quasar Strategy Magic LevelsThis indicator plots key market levels that remain valid from 4:00pm New York close until the next day’s 4:00pm close.
The core logic combines:
A custom Goldbach-inspired range,
Circuit breaker percentages,
And hidden PO3 overlays.
These levels often act as magnets, targets, and later as support or resistance zones.
The central line of the whole range is what I call “the restaurant” — a strong attraction point where prices tend to gravitate, especially after the 9:30 a.m. opening.
Since these levels are based on a certain fixed price in a %, they will change over time. Then I will updated the indicator.
Use these levels as a confluence with your own trading strategy for entries and exits.
Search in scripts for "ict"
MTF-Hidden Breaker Blocks TrackerThe MT-Hidden Breaker Blocks Tracker is a powerful indicator designed for SMC traders. Rooted in Smart Money Concepts (SMC), it uncovers institutional order flow by identifying Order Blocks (OB), Breaker Blocks (BB), and Partial Breaker Blocks (PBB) across multiple timeframes, revealing hidden liquidity zones for precise market structure analysis.
═══════ Key Features ═══════
Smart Money Detection: Order Blocks (OB): Pinpoints key candles before major market moves, marking institutional entry zones.
Breaker Blocks (BB): Detects OBs aligned with Fair Value Gaps (FVGs), signaling liquidity zones.
Partial Breaker Blocks (PBB): Tracks partially mitigated BBs for reaccumulation or distribution setups.
The MT-Hidden Breaker Blocks Tracker features a REPLAY-MODE that allows traders to analyze historical Order Blocks (OB), Breaker Blocks (BB), and Partial Breaker Blocks (PBB) with Fair Value Gaps (FVGs) directly on the current timeframe, enabling precise backtesting of SMC strategies.
Multi-Timeframe Liquidity Analysis: 70 pre-configured timeframes across five groups:
Group 1: Minutes & Hours (5m–4h)
Group 2: Hours (5h–23h)
Group 3: Days (1D–19D)
Group 4: Weeks (1W–12W)
Group 5: Months (1M–12M)
Group 6: 19 customizable timeframes for tailored strategies.
Advanced SMC Tools: FVG Filter: Enhances BB/PBB signals with 1–5 FVGs for high-probability setups.
Dynamic Mitigation: Monitors block mitigation in real-time with adjustable thresholds.
Columnar Confluence Display: Visualizes liquidity zones in timeframe-specific columns, highlighting multi-timeframe confluence.
Non-24/7 Market Support: Handles gaps in equities and forex markets.
Auto-Current Timeframe: Displays analysis for the chart’s active timeframe.
Visual Customization: Configurable bull/bear block colors.
Adjustable borders, widths, and timeframe labels with FVG counts.
Extended box projections for forecasting price action.
Clean, non-obtrusive overlay for seamless chart integration.
═══════ How It Works ═══════
The MT-HiddenLiquidityTracker leverages SMC principles to detect institutional order flow by analyzing Order Blocks and their evolution into Breaker or Partial Breaker Blocks. It scans multiple timeframes to uncover liquidity pools, using FVGs to filter high-probability signals. The columnar display highlights confluence zones, making it easy to spot where smart money activity converges, ideal for SMC trading strategies.
═══════ How to Use ═══════
Select Timeframe Group: Choose Current, Groups 1–5, or Custom timeframes.
Configure Block Types: Enable OB-only, BB/PBB-only, or all blocks.
Set FVG Filter: Specify 1–5 FVGs for BB/PBB detection (optional).
Customize Visuals: Adjust colors, labels, borders, and box extensions.
Tune Detection: Set OB sensitivity and mitigation thresholds.
═══════ Why It Stands Out ═══════
Unlike generic indicators, the MT-Hidden Breaker Blocks Tracker combines SMC-based liquidity hunting with multi-timeframe analysis, offering a unique approach to institutional order flow. Its FVG filtering, extensive timeframe options, and columnar confluence display provide clarity for ICT/SMC traders seeking high-probability setups in forex, crypto, and indices.
═══════ Best Practices ═══════
Prioritize higher-timeframe blocks (Groups 3–6) for major liquidity zones.
Combine with volume or price action for signal confirmation.
Use FVG counts to assess block strength.
Target confluence zones for stronger trade setups.
═══════ Performance Notes ═══════
Optimized for real-time analysis with efficient rendering.
Manages visuals within TradingView’s limits.
Supports historical analysis up to 10,000 bars.
Built in Pine Script v6, Beta version.
═══════ Access ═══════
This is an invite-only script.
Contact LiquidityForgeSMC via TradingView’s messaging system for details.
═══════ Disclaimer ═══════
This indicator is for educational and analytical purposes only and does not constitute financial, investment, or trading advice. Always conduct your own analysis before trading. The indicator is in active development, with additional SMC features planned for future updates.
INSTRUCTIONS: www.youtube.com
Valid Monthly LevelsValid Monthly Levels (No Sweeps) + Smart Labels
This tool automatically plots the highs and lows of each completed monthly candle and tracks their validity in real time. A level is considered valid until it has been swept (price trades strictly beyond that high or low). Once swept, the line and label can either be removed or dimmed depending on your settings.
Key features:
Monthly highs and lows: Each month’s range is marked with horizontal levels that extend forward.
Valid vs. swept logic: Levels are only valid until breached; swept levels can be hidden or kept as dotted/grey lines.
Smart labels: Each level is labeled with the month and year (e.g., Sep ’25 H/L). On higher timeframes, labels sit at the candle; on lower timeframes, labels automatically shift to the right edge so they don’t disappear off-screen.
Customizable appearance: Choose colors for highs, lows, and swept levels; adjust line styles; and limit how many past months are shown.
Clutter control: Cap the maximum number of labels, so your chart stays readable even on small intraday timeframes.
This indicator is useful for traders who track monthly supply/demand extremes, liquidity sweeps, and higher-timeframe context when executing on lower timeframes.
SMC Analysis - Fair Value Gaps (Enhanced)SMC Analysis - Fair Value Gaps (Enhanced) Script Summary
Overview
The "SMC Analysis - Fair Value Gaps (Enhanced)" script, written in Pine Script (version 6), is a technical analysis indicator designed for TradingView to identify and visualize Fair Value Gaps (FVGs) on a price chart. It supports both the main timeframe and multiple higher timeframes (MTF) for comprehensive market analysis. FVGs are price gaps formed by a three-candle pattern, indicating potential areas of market inefficiency where price may return to fill the gap.
Key Features
FVG Detection:
Identifies bullish FVGs: Occur when the high of a candle two bars prior is lower than the low of the current candle, with the middle candle being bullish (close > open).
Identifies bearish FVGs: Occur when the low of a candle two bars prior is higher than the high of the current candle, with the middle candle being bearish (close < open).
Visualizes FVGs as colored boxes on the chart (green for bullish, red for bearish).
Mitigation Tracking:
Tracks when FVGs are touched (price overlaps the gap range) or mitigated (price fully closes the gap).
Strict Mode: Marks an FVG as mitigated when price touches the gap range.
Normal Mode: Requires a full breakthrough (price crossing the gap’s bottom for bullish FVGs or top for bearish FVGs) for mitigation.
Optionally converts FVG box borders to dashed lines and increases transparency when partially touched.
Multi-Timeframe (MTF) Support:
Analyzes FVGs on three user-defined higher timeframes (default: 15m, 60m, 240m).
Displays MTF FVGs with distinct labels and slightly more transparent colors.
Ensures no duplicate processing of MTF bars to maintain performance.
Customization Options:
FVG Length: Adjustable duration for how long FVGs are displayed (default: 20 bars).
Show/Hide FVGs: Toggle visibility for main timeframe and each MTF.
Color Customization: User-defined colors for bullish and bearish FVGs (default: green and red).
Display Options: Toggle for showing dashed lines after partial touches and strict mitigation mode.
Performance Optimization:
Limits the number of displayed boxes (50 for main timeframe, 20 per MTF) to prevent performance issues.
Automatically removes older boxes to maintain a clean chart.
Functionality
Visualization: Draws boxes around detected FVGs, with customizable colors and text labels ("FVG" for main timeframe, "FVG " for MTF).
Dynamic Updates: Extends or terminates FVG boxes based on mitigation status and user settings.
Efficient Storage: Uses arrays to manage FVG data (boxes, tops, bottoms, indices, mitigation status, and touch status) separately for main and MTF analyses.
Use Case
This indicator is designed for traders using Smart Money Concepts (SMC) to identify areas of market inefficiency (FVGs) for potential price reversals or continuations. The MTF support allows analysis across different timeframes, aiding in confirming trends or spotting higher-timeframe support/resistance zones.
Perfect Price-Anchored % Fib Grid This indicator generates support and resistance levels anchored to a fixed price of your choice.
You can also specify a percentage for the indicator to calculate potential highs and lows.
Commonly used values are 3.5% or 7%, as well as smaller decimal versions like 0.35% or 0.7%, depending on the volatility you expect.
In addition, the indicator can highlight potential stop-run levels in multiples of 27 — ranging from 0 up to 243. This automatically places the 243 GB range directly onto your chart.
The tool is versatile and can be applied not only to equities, but also to ES futures and Forex markets.
NWOG/NDOG by OutOfOptionsNew Week Opening Gap (NWOG) and New Day Opening Gap (NDOG)
NWOG and NDOG represent price imbalances formed when markets skip over certain levels at the start of a new week or trading day. These gaps often serve as magnets for price action throughout the week or day, drawing prices back to fill them while also functioning as key support or resistance zones. They are particularly relevant in futures markets, though less so in equities.
Consequent Encroachment (CE)
The CE, which is the midpoint of an NWOG or NDOG, frequently emerges as a critical level—especially if the gap remains unbalanced. In such cases, it can exert a strong pull on price, encouraging retracement or consolidation.
Indicator Features
This indicator allows you to display any number of NWOGs and NDOGs directly on your chart, with complete customization of their visual appearance. You can assign distinct colors to the most recent gaps for easy identification. Unlike other tools, it includes a filtering option to exclude minor gaps that may lack significance. Additionally, the "Smart" mode intelligently positions price labels to ensure they remain visible and uncluttered at all times.
How Does it Work
The indicator tracks all daily closes and new day opens, capturing the two values representing the top/bottom of NDOG/NWOG. I If the day begins on a Sunday, the gap is identified as NWOG; otherwise, it is classified as NDOG. A key feature of the indicator is that it avoids duplicating NDOGs that are also NWOGs.
Next, the indicator applies the size filter setting (if set above 0) to skip minor gaps. Valid gaps are then displayed on the screen using a style configured in the indicator settings for the most recent NDOG/NWOG.
To prevent the chart from becoming cluttered, the indicator limits the number of NWOG/NDOGs shown. When a new NWOG/NDOG is added, it checks the total displayed, and if this exceeds the configured limit, the oldest NWOG/NDOG is removed. Additionally, the indicator updates the display style of the previous NWOG/NDOG to the generic (non-last) style as specified in the settings.
For labels showing NWOG/NDOG price ranges and CE, the indicator offers a "Smart" option that dynamically positions labels 10 bars from the last candle and adjusts them every 5 candles. Otherwise, labels are placed at the end of the week for NWOGs and at the end of the following day for NDOGs.
Molina Prob-Score + FVG + S/R (v1.2)it computes a weighted bull/bear score (0–100%), highlights ICT-style FVGs, marks pivot S/R, and gives simple entry flags. tune the weights to your style.
Liquidity Sweep ReversalOverview
The Liquidity Sweep Reversal indicator is a sophisticated intraday trading tool designed to identify high-probability reversal opportunities after liquidity sweeps occur at key market levels. Based on Smart Money Concepts (SMC) and Institutional Order Flow analysis, this indicator helps traders catch market reversals when stop-loss clusters are hunted.
Key Features
🎯 Multi-Level Liquidity Analysis
Previous Day High/Low (PDH/PDL) detection
Previous Week High/Low (PWH/PWL) tracking
Session highs/lows for Asian, London, and New York markets
Real-time level validation and usage tracking
⚡ Advanced Signal Generation
CISD (Change In State of Delivery) detection algorithm
Engulfing pattern recognition at key levels
Liquidity sweep confirmation system
Directional bias filtering to avoid false signals
⏰ Kill Zone Integration
Pre-configured optimal trading windows
Asian Kill Zone (20:00-00:00 EST)
London Kill Zone (02:00-05:00 EST)
New York AM/PM Kill Zones (08:30-11:00 & 13:30-16:00 EST)
Optional kill zone-only trading mode
🛠 Customization Options
Multiple timezone support (NY, London, Tokyo, Shanghai, UTC)
Flexible HTF (Higher Time Frame) selection
Adjustable signal sensitivity
Visual customization for all levels and signals
Hide historical signals option for cleaner charts
How It Works
The indicator continuously monitors price action around key liquidity levels
When price sweeps liquidity (stop-loss hunting), it marks potential reversal zones
Confirmation signals are generated through CISD or engulfing patterns
Trade signals appear as arrows with color-coded candles for easy identification
Best Suited For
Intraday traders focusing on 1m to 15m timeframes
Smart Money Concepts (SMC) practitioners
Scalpers looking for high-probability reversal entries
Traders who understand liquidity and market structure
Usage Tips
Works best on liquid forex pairs and major indices
Combine with volume analysis for stronger confirmation
Use proper risk management - not all signals will be winners
Monitor higher timeframe bias for better accuracy
==============================================
日内流动性掠夺反向开单指标
指标简介
这是一款基于Smart Money概念（SMC）开发的高级日内交易指标，专门用于识别市场在关键价格水平扫除流动性后的反转机会。通过分析机构订单流和流动性分布，帮助交易者精准捕捉止损扫单后的市场反转点。
核心功能
多维度流动性分析
前日高低点（PDH/PDL）自动标记
前周高低点（PWH/PWL）动态跟踪
亚洲、伦敦、纽约三大交易时段高低点识别
关键位使用状态实时监控，避免重复信号
智能信号系统
CISD（Change In State of Delivery）算法检测
关键位吞没形态识别
流动性扫除确认机制
方向过滤系统，大幅降低虚假信号
黄金交易时段
内置Kill Zone时间窗口
支持亚洲、伦敦、纽约AM/PM四个黄金时段
可选择仅在Kill Zone内交易
时区智能切换，全球交易者适用
个性化设置
支持多时区切换（纽约/伦敦/东京/上海/UTC）
HTF周期自动适配或手动选择
信号灵敏度可调
所有图表元素均可自定义样式
历史信号隐藏功能，保持图表整洁
适用人群
日内短线交易者（1分钟-15分钟）
SMC交易体系践行者
追求高胜率反转入场的投机者
理解流动性和市场结构的专业交易者
使用建议
推荐用于主流加密货币、外汇对和股指期货
配合成交量分析效果更佳
严格止损，理性对待每个信号
关注更高时间框架的趋势方向
风险提示： 任何技术指标都不能保证100%准确，请结合自己的交易系统和风险管理使用。
Muzyorae - RTH Anchored Quarters CyclesRTH Anchored Quarters Cycles — Model Overview
The RTH Anchored Quarters Cycles model is designed to divide the Regular Trading Hours (RTH) session of U.S. equities (typically 09:30 – 16:00 New York time) into four structured “quarters” plus a closing marker. It provides a consistent framework for analyzing intraday market behavior by aligning time-based partitions with the actual trading day.
Key Features
Anchored to RTH
The model starts each cycle at 09:30 NY time (the official cash open).
It ignores overnight or extended-hours data, focusing strictly on the RTH session, where the majority of institutional order flow takes place.
After 18:00 NY time, the model still references the same trading date, preventing false signals from session rollovers.
Quarterly Time Blocks
The trading day is split into five reference points:
Q1: 09:30 – 10:00
Q2: 10:00 – 11:30
Q3: 11:30 – 13:30
Q4: 13:30 – 16:00
End: Closing marker at 16:00
Each boundary is drawn as a vertical line on the chart, clearly separating the quarters.
Customization
Users can adjust the start/end times of each quarter.
So if you would like to wish to use ICT timing Macro, intraday, daily and even weekly
The line style, color, and width are configurable (solid/dotted/dashed).
A label is placed at each quarter boundary (Q1, Q2, Q3, Q4, End) for quick visual reference.
Days Back Control
The model can display the cycles for multiple past trading days (user-defined).
Weekend days are automatically skipped, so “2 days back” means today and the previous trading day.
Why It’s Useful
Intraday Structure: Traders can quickly identify where the market is within the daily RTH cycle.
Consistency: Since the model is anchored to RTH, it avoids confusion caused by overnight Globex activity.
Clarity: Vertical markers and labels provide a clean framework for aligning trade setups, volume analysis, or order flow studies with specific time windows.
Flexibility: The customizable settings allow adaptation across instruments and strategies.
HTF Candles [TakingProphets]OVERVIEW
The High Time Frame Candles indicator helps traders align their lower-timeframe executions with institutional context by projecting higher-timeframe (HTF) structure directly onto their charts. Designed for traders using ICT-inspired concepts, this tool integrates multi-timeframe candle visualization, real-time SMT divergence detection, and dynamic Open-High-Low-Close (OHLC) projections into a single customizable framework.
It’s not a signal generator — instead, it serves as an informational overlay that simplifies analysis by consolidating critical HTF insights into your intraday workflow.
WHAT THE INDICATOR DOES
Plots Up to 10 Higher Time Frame Candles
-Visualize HTF candles directly on your lower timeframe chart. The candles are offset to the right for clarity, giving you a clean and organized view of structure without cluttering price action.
HTF Close Timer
-Displays a countdown showing exactly when the current HTF candle will close — useful for timing trades around session boundaries.
Real-Time SMT Divergence Detection
-Compares price action on your main chart against a correlated asset (default: CME_MINI:ES1!) to automatically detect and label potential bearish or bullish SMT divergences. Optional alerts ensure you never miss these events.
Dynamic Candle Projections
-Continuously projects the current HTF candle’s Open, High, Low, and Close levels forward in real time. These evolving reference points can act as natural support/resistance levels and bias filters.
KEY FEATURES
Flexible Candle Rendering
-Adjust candle width, transparency, offset, and colors
-Select any HTF — from 1 minute to 1 month
-Choose customizable label sizes for clarity
Smart Time Labeling
-Automatically formats time labels based on timeframe
-Uses HH:MM for intraday and date labels for higher frames
-Supports 12-hour and 24-hour formats
SMT Divergence Tools
-Automatically detects historical and real-time SMT setups
-Customizable labels, colors, line styles, and widths
-Built-in alert conditions for bullish/bearish divergences
HTF OHLC Projections
-Plots the projected Open, High, Low, and Close levels for the current HTF candle
-Fully customizable styles, thickness, and labels for precision
INPUTS OVERVIEW
Timeframe Settings → Choose the HTF for plotting
Display Settings → Control the number of candles, offsets, label sizes, and visuals
Visual Settings → Customize bullish/bearish colors, border styles, and wick display
SMT Settings → Enable divergence detection, select correlated assets, and configure alerts
Projection Settings → Toggle OHLC projections and customize styles
ALERTS 🔔
Stay ahead of market shifts with built-in alert conditions:
Bullish SMT Divergence → Detected when main lows diverge from correlated lows
Bearish SMT Divergence → Detected when main highs diverge from correlated highs
Bullish Real-Time SMT → Highlights developing divergence as it forms
Bearish Real-Time SMT → Highlights active divergence in real time
Muzyorae - Quarterly CyclesQuarterly Theory — NY Session Macro Model
The Quarterly Theory is a time-based framework for analyzing intraday market behavior during the New York session. It divides the session into four sequential quarters (Q1–Q4), each reflecting institutional activity, liquidity accumulation, and directional bias.
Q1 – Accumulation (9:30–10:00 AM): Early positioning, initial liquidity sweeps, and potential early breakouts (AMDX - XAMD patterns).
Q2 – Manipulation/Expansion (10:00–11:30 AM): Main directional move with structure breaks, fair value gaps, and liquidity sweeps.
Q3 – Distribution/Retracement (11:30 AM–1:30 PM): Consolidation, profit-taking, and market chop.
Q4 – Final Expansion/Repricing (1:30–4:00 PM): Trend continuation, reversals, and session high/low formation.
Key Features:
Fractal-based cycles scalable across intraday or multi-day timeframes.
Supports AMDX (Accumulation → Manipulation → Distribution → Expansion) and XAMD reversal sequences.
Highlights early Q1 expansions, Q2 open reference, and critical liquidity zones.
Fully synchronized to NY time and compatible with ICT concepts (SMT, FVGs, OBs, BOS).
Professional visualization with optional labels and vertical markers.
Purpose:
Provides traders a systematic framework to align with institutional flow, anticipate liquidity accumulation, identify optimal entry/exit zones, and structure trades around high-probability intraday cycles.
Muzyorae - Quarterly TheoryQuarterly Theory — NY Session Macro Model
The Quarterly Theory Model is a structured framework for analyzing intraday market behavior based on institutional activity and macro-level cycles.
It divides the New York trading session into four sequential “quarters” (Q1–Q4), each representing distinct phases of market participation, liquidity accumulation, and directional bias.
This model is designed for professional traders who aim to align their strategies with institutional flows, key liquidity zones, and market structure shifts.
It accommodates both AMDX (Accumulation → Manipulation → Distribution → Expansion) and XAMD (reversal sequences) fractal patterns, allowing traders to adapt to varying market conditions.
Price action may expand early during Q1 in an XAMD sequence, representing an initial breakout or early liquidity sweep before the typical Q2 manipulation phase. Traders should be aware that Q1 can occasionally produce unexpected volatility or directional bias in such sequences.
Session Breakdown (New York Time)
Q1 – Accumulation
Time: 9:30 – 10:00 AM
Phase Characteristics: Early session positioning, initial liquidity sweeps, and false moves. Institutions build positions while retail participants often react to gaps and premarket activity.
Note: Price may expand early in an XAMD sequence, creating a short-term directional move before Q2.
Q2 – Manipulation / Expansion
Time: 10:00 – 11:30 AM
Phase Characteristics: The main directional move develops, often characterized by breaks of structure, fair value gaps, and liquidity sweeps. This is a prime area for trend initiation.
Q3 – Distribution / Retracement
Time: 11:30 AM – 1:30 PM
Phase Characteristics: Price consolidates and retraces into prior accumulation zones, reflecting profit-taking or redistribution by institutions. Market chop and sideways movement are common.
Q4 – Final Expansion / Repricing
Time: 1:30 – 4:00 PM
Phase Characteristics: The afternoon session often produces final liquidity sweeps, trend continuation, or reversals, setting the high or low of the day and completing the daily macro cycle.
Key Features of the Model
Fractal-Based Structure: Q1–Q4 cycles reflect institutional behavior at a macro level, scalable to other intraday or multi-day fractals.
Supports AMDX & XAMD: Allows for both standard accumulation → manipulation → distribution → expansion sequences and reversal patterns depending on market behavior.
Early Expansion in Q1: Recognizes that in XAMD sequences, Q1 may produce early directional moves or breakout activity.
True Open Q2 Line: Highlights the opening price of Q2 as a reference for trend validation and potential entry zones.
Dynamic Time Alignment: Fully synchronized with New York (ET) time zone, ensuring accurate representation of market cycles.
Professional Visualization: Optional labels and vertical markers for each quarter, supporting quick visual analysis and pattern recognition.
Integration with ICT Concepts: Compatible with Smart Money Techniques (SMT), Fair Value Gaps (FVGs), Order Blocks (OBs), and Break of Structure (BOS) for enhanced trade planning.
Purpose and Application
Anticipates areas of liquidity accumulation and manipulation.
Identifies optimal entry and exit zones within institutional cycles.
Structures trades around probable trend initiation and continuation periods.
Aligns retail activity with institutional flow for higher probability setups.
Adapts to market variability through AMDX and XAMD fractal patterns.
Accounts for early expansions or breakout activity during Q1 in XAMD sequences.
By using the Quarterly Theory Model, traders gain a systematic, time-based framework to interpret market structure and maximize alignment with institutional participants.
Smart Money Footprint & Cost Basis Engine [AlgoPoint]Smart Money Footprint & Cost Basis Engine
This indicator is a comprehensive market analysis tool designed to identify the "footprints" of Smart Money (institutions, whales) and pinpoint high-probability reaction zones. Instead of relying on lagging averages, this engine analyzes the very structure of the market to find where large players have shown their hand.
How It Works: The Core Logic
The indicator operates on a multi-stage confirmation process to identify and validate Smart Money zones:
Smart Money Detection (The Trigger): The engine first scans the chart for signs of intense, urgent buying or selling. It does this by identifying Fair Value Gaps (FVGs) created by large, high-volume Displacement Candles. This is our initial Point of Interest (POI).
Cost Basis Calculation (The Average Price): Once a potential Smart Money move is detected, the indicator calculates the Volume-Weighted Average Price (VWAP) for that specific move. This gives us a highly accurate estimate of the average price at which the large players entered their positions.
Historical Confirmation (The "Memory"): This is the indicator's most unique feature. It checks its historical database to see if a similar Smart Money move (in the same direction) has occurred in the same price area in the past. If a match is found, the zone's significance is confirmed.
Verified Cost Basis Zone (The Final Output): A zone that passes all the above checks is drawn on the chart as a high-probability Verified Cost Basis Zone. These are the "memory zones" where the market is likely to react upon a re-visit.
How to Use This Indicator
Cost Basis Zones (The Boxes):
Green Boxes: Bullish zones where Smart Money likely accumulated positions. When the price returns here, a BUY reaction is expected.
Red Boxes: Bearish zones where Smart Money likely distributed positions. When the price returns here, a SELL reaction is expected.
Zone Strength (★★★): Each zone is created with a star rating. More stars indicate a higher-confidence zone (based on factors like volume intensity and historical confirmation).
BUY/SELL Signals: A signal is only generated when the price enters a zone AND the confirmation filters (if enabled in the settings) are passed.
Zone Statuses:
Green/Red: Active and waiting to be tested.
Gray: The zone has been tested, and a signal was produced.
Dark Gray (Invalidated): The zone was broken decisively and is no longer considered valid support/resistance.
Key Settings
Signal Accuracy Filters: You can enable/disable three powerful filters to balance signal quantity and quality:
Momentum Confirmation (Stoch): Waits for momentum to align with the zone's direction.
Candlestick Confirmation (Engulfing): Waits for a strong reversal candle inside the zone.
Lower Timeframe MSS Confirmation: The most advanced filter; waits for a trend shift on a lower timeframe before giving a signal.
Historical Confirmation:
Require Historical Confirmation: Toggle the "Memory" feature on/off. Turn it off to see all potential SM zones.
Tolerance Calculation Method: Choose between a dynamic ATR Multiplier (recommended for all-around use) or a fixed Percentage to define the zone size.
HSM TOOLS Basic v2The HSM Tools indicator is designed to align with ICT concepts by providing a True Day Opening reference for every trading day.
It automatically separates the days of the week on your chart and plots the midnight opening price (00:00), which acts as a daily fair value level. This level can be used as support or resistance for trade entries.
The daily division also helps you interpret the Power of Three across the week, without the need for manual markings. Each day is plotted individually, and you can enable the display of historical windows for backtesting purposes.
Additionally, the script allows you to track both the midnight opening and the weekly opening line, providing a clear framework for bias, daily execution, and backtests.
Thiru Macro Time CyclesMacro Time Cycles
This indicator plots horizontal lines in a separate pane to highlight key macro timeline windows based on Eastern Time (EST), aiding traders in identifying significant market periods. It includes customizable London and New York trading sessions with adjustable line colors and label visibility.
Key Features:
Displays macro timelines for London (2:45–3:15 AM, 3:45–4:15 AM) and New York AM/PM sessions (7:45–8:15 AM, 8:45–9:15 AM, 9:45–10:15 AM, 10:45–11:15 AM, 11:45 AM–12:15 PM, 12:45–1:15 PM, 1:45–2:15 PM, 2:45–3:15 PM).
Lines are drawn with a fixed width of 3 and can be colored via user inputs.
Labels (e.g., "LO 1", "AM 1") are placed at the bottom of the pane, with options to hide or show them.
Adjustable label alignment (Left, Center, Right) for better chart organization.
Uses a separate pane (overlay = false) to avoid cluttering the price chart.
How to Use:
Add the indicator to your chart via the TradingView interface.
Customize line colors for each macro timeline in the indicator settings.
Toggle "Show Labels" on or off to display or hide labels at the bottom of the pane.
Adjust the "Text Alignment" setting to position labels as preferred.
The indicator automatically adjusts to the chart’s timeframe, ensuring accurate session boundaries.
Notes:
Timezone is fixed to Eastern Time (EST).
Ensure your chart timeframe aligns with the 30-minute macro windows for optimal visibility.
Perfect for traders focusing on London and New York session analysis.
Thiru TimeCyclesThiru TimeCycles Indicator: Overview and Features
Based on the provided Pine Script code (version 6), the "Thiru TimeCycles" indicator is a comprehensive, customizable tool designed for intraday traders, particularly those following Smart Money Concepts (SMC), ICT (Inner Circle Trader) methodologies, and time-based cycle analysis. It overlays session-based boxes, lines, and labels on charts to highlight key trading windows, ranges, and structural levels. The indicator is timezone-aware (default GMT-4, e.g., New York time) and focuses on killzones (high-volatility sessions), Zeussy-inspired 90-minute macro cycles, and 30-minute sub-cycles. It's optimized for timeframes below 4H, with automatic hiding on higher timeframes like 1D, 1W, 1M, or 1Y.
This indicator is ideal for forex, indices (e.g., Nasdaq futures like MNQ1!), stocks, and commodities, helping traders identify order flow, liquidity zones, and potential reversals within structured time cycles. It's built by Thiru Trades and includes educational elements like range tables and watermarks for a professional setup.
Core Purpose
Time Cycle Visualization: Breaks the trading day into repeatable cycles (e.g., 30-min, 90-min, and larger sessions) to anticipate market behavior, such as accumulation, manipulation, and distribution (AMD) phases.
Session Highlighting: Draws boxes and lines for major sessions (Asia, London, NY AM/PM, Lunch, Power Hour) to focus on high-probability "killzones."
Range and Pivot Analysis: Tracks highs/lows, midpoints, and ranges for each cycle/session, with optional alerts for breaks.
Customization Focus: Extensive inputs for colors, transparency, labels, and limits, making it adaptable for scalping, day trading, or swing setups.
Performance: Limits drawings to prevent chart clutter (e.g., max 500 boxes/lines/labels), with cutoff times to stop extensions (e.g., at 15:00).
Key Features
Here's a breakdown of the indicator's main components and functionalities, grouped by category:
Killzone Sessions (Standard Trading Windows):
Sessions Included: Asia (18:00-02:31), London (02:30-07:01), NY AM (07:00-11:31), Lunch (12:00-13:01), NY PM (11:30-16:01), Power Hour (15:00-16:01).
Visualization: Semi-transparent boxes (95% transparency default) with optional text labels (e.g., "London", "NY AM").
Pivots and Midpoints: Optional high/low pivot lines (solid style, extend until mitigated or cutoff), midpoints (dotted), and labels (e.g., "LO.H" for London High).
Alerts: Break alerts for pivots (e.g., "Broke London High").
Range Table: Optional table showing current and average ranges (over 5 sessions) for each killzone, positioned at top-right (customizable size/position).
Zeussy 90-Minute Macro Time Cycles:
Inspired By: Zeussy's time cycle theory (from X/Twitter), dividing sessions into 90-min phases starting at 02:30 NY time.
Cycles Included:
London: A (02:30-04:01, blue), M (04:00-05:31, red), D (05:30-07:01, green).
NY AM: A (07:00-08:31, blue), M (08:30-10:01, red), D (10:00-11:31, green).
NY PM/Lunch: A (11:30-13:01, blue), M (13:00-14:31, red), D (14:30-16:01, green).
Visualization: Boxes (90% transparency) with optional small labels ("London A", etc.) at the top of each box.
Extensions: High/low lines extend until broken or cutoff; optional equilibrium (EQ) levels.
Benefits: Helps identify AMD phases within larger sessions; focus on NY AM/PM for best results (Asia/London for global traders).
Zeussy 30-Minute Sub-Cycles:
Sub-Division: Further breaks 90-min cycles into 30-min segments (e.g., London A: A1 02:30-03:01, A2 03:00-03:31, A3 03:30-04:01).
All Sub-Cycles: 18 total (3 per macro cycle across London A/M/D, NY AM A/M/D, NY PM A/M/D).
Visualization: Optional boxes (90% transparency, hidden text by default) with small labels (e.g., "A1", "M1") at the bottom.
Customization: Separate show/hide toggle and label size (default "Small"); can divide further into 10-min if needed via presets.
Use Case: For finer granularity in scalping; shows order flow within macros (e.g., support at previous low after break).
Day Range Divider:
Vertical Separators: Dotted lines (custom color/width/style) at midnight (00:00) for each trading day (Mon-Fri only).
Day Labels: Monday-Friday labels (e.g., "Monday" with letter-spacing) positioned at the top of the chart (0.1% above high, updated dynamically).
Limits: Up to 5 days (customizable); hides on timeframes >=4H (1D, 1W, 1M, 1Y) to avoid clutter.
Offset: Labels above day-high by ticks (default 20); no weekend labels.
Fix Applied: Labels now consistently at top (using high * 1.001 for y-position); removed middle adjustments.
Day/Week/Month (DWM) Levels:
Opens, Highs/Lows, Separators: Lines for daily/weekly/monthly opens (dotted), previous highs/lows (solid), and vertical separators.
Unlimited Mode: Optional to show all history (otherwise limited by max_days).
Alerts: For high/low breaks (e.g., "Hit PDH").
Labels: Optional "D.O", "PWH" (previous week high), etc., with right-side extension.
Opening Prices and Vertical Timestamps:
Custom Opens: Up to 8 user-defined session opens (e.g., DC Open 18:00, 00:00, 09:30) with horizontal lines (dotted).
Vertical Lines: Up to 4 timestamps (e.g., 17:00, 08:00) with extend-both.
Unlimited: Optional to ignore drawing limits.
Range and Statistics Table:
Display: Top-right table (custom position/size) showing current range, average range (over 5 sessions), and min days stored for all enabled killzones/cycles.
Color-Coded: Rows highlight active sessions (e.g., Asia row in purple if active).
Toggle: Show/hide averages; updates on last bar.
Watermark and UI Enhancements:
Custom Watermark: Title ("ㄒ卄丨尺ㄩ"), subtitle ("PATIENCE | COURAGE | WISDOM"), symbol info (ticker + timeframe + date), positioned top-center/bottom-left.
Customization: Colors, sizes (tiny to huge), alignment (left/center/right), transparency.
Settings Groups: Organized into Settings, Killzones, Zeussy 90Min, Zeussy 30Min, Day Range Divider, Watermark, Pivots, Range, DWM, Opens, Vertical.
Performance and Limits:
Timeframe Limit: Hides drawings on >=240min (4H); Day Range hides on >=4H.
Drawing Limits: Max 1-5 days per type (boxes, lines, labels); auto-deletes old ones.
Cutoff: Optional stop at 15:00-15:01 for pivots/opens.
Alerts: Pivot breaks, high/low hits; freq once per bar.
Transparency: Separate for boxes (90-95%) and text (20-75%).
Liquidity Swing Points [BackQuant]Liquidity Swing Points
This tool marks recent swing highs and swing lows and turns them into persistent horizontal “liquidity” levels. These are places where resting orders often accumulate, such as stop losses above prior highs and below prior lows. The script detects confirmed pivots, records their prices, draws lines and labels, and manages their lifecycle on the chart so you can monitor potential sweep or breakout zones without manual redrawing.
What it plots
LQ-H at confirmed swing highs
LQ-L at confirmed swing lows
Horizontal levels that can optionally extend into the future
Timed removal of old levels to keep the chart clean
Each level stores its price, the bar where it was created, its type (high or low), plus a label and a line reference for efficient updates.
How it works
Pivot detection
A swing high is confirmed when the highest high has swing_length bars on both sides that are lower.
A swing low is confirmed when the lowest low has swing_length bars on both sides that are higher.
Pivots are only marked after they are confirmed, so they do not repaint.
Level creation
When a pivot confirms, the script records the price and the creation bar (offset by the right lookback).
A new line is plotted at that price, labeled LQ-H or LQ-L.
Rendering and extension
Levels can be drawn to the most recent bar only or extended to the right for forward reference.
Label size and line color/transparency are configurable.
Lifecycle management
On each confirmed bar, the script checks level age.
Levels older than a chosen bar count are removed automatically to reduce clutter.
How it can be used
Liquidity sweeps: Watch for price to probe beyond a level then close back inside. That behavior often signals a potential fade back into the prior range.
Breakout validation: If price pushes through a level and holds on closes, traders may treat that as continuation. Retests of the level from the other side can serve as structure checks.
Context for entries and exits: Use nearby LQ-H or LQ-L as reference for stop placement or partial-take zones, especially when other tools agree.
Multi-timeframe mapping: Plot swing points on higher timeframes, then drill down to time entries on lower timeframes as price interacts with those levels.
Why liquidity levels matter
Prior swing points are focal areas where many strategies set stops or pending orders. Price often revisits these zones, either to “sweep” resting liquidity before reversing, or to absorb it and trend. Marking these areas objectively helps frame scenarios like failed breaks, successful breakouts, and retests, and it reduces the subjectivity of eyeballing structure.
Settings to know
Swing Detection Length (swing_length), Controls sensitivity. Lower values find more local swings. Higher values find more significant ones.
Bars until removal (removeafter), Deletes levels after a fixed number of bars to prevent buildup.
Extend Levels Right (extend_levels), Keeps levels projected into the future for easier planning.
Label Size (label_size), Choose tiny to large for chart readability.
One color input controls both high and low levels with transparency for context.
Strengths
Objective marking of recent structure without hand drawing
No repaint after confirmation since pivots are locked once the right lookback completes
Lightweight and fast with simple lifecycle management
Clear visuals that integrate well with any price-action workflow
Practical tips
For scalping: use smaller swing_length to capture more granular liquidity. Keep removeafter short to avoid clutter.
For swing trading: increase swing_length so only more meaningful levels remain. Consider extending levels to the right for planning.
Combine with time-of-day filters, ATR for stop sizing, or a separate trend filter to bias trades taken at the levels.
Keep screenshots focused: one image showing a sweep and reversal, another showing a clean breakout and retest.
Limitations and notes
Levels appear after confirmation, so they are delayed by swing_length bars. This is by design to avoid repainting.
On very noisy or illiquid symbols, you may see many nearby levels. Increasing swing_length and shortening removeafter helps.
The script does not assess volume or session context. Consider pairing with volume or session tools if that is part of your process.
DR/IDR Sessions with Standard Deviation (v1.5)This indicator plots the Defining Range (DR) and Initial Defining Range (IDR) during Regular, After, and Overnight sessions. It automatically identifies the session highs, lows, and midpoints, then extends these levels into later trading hours for market structure analysis.
Key features:
📍 Session Detection: Automatically marks Regular (RDR), After-hours (ADR), and Overnight (ODR) ranges.
📈 DR & IDR Lines: High, Low, and optional Mid lines for both DR and IDR.
🟩 Opening Line: Plots the session’s opening price with customizable extension options.
🎨 Visual Boxes: Highlights the DR/IDR area with customizable up/down coloring (based on candle open/close).
➕ Standard Deviation Lines: Plots levels at multiples of 0.5 × IDR, either dynamically (following price) or statically (fixed number of levels).
⏳ Extend Options: Extend ranges to session end, ADR end, ODR end, or dynamically follow price.
⚙️ Highly Customizable: Colors, line styles, box shading, visibility history, and extension behavior.
Usage:
Traders use this indicator to analyze liquidity, session ranges, and potential breakout or mean-reversion zones. The DR/IDR concept is often used in ICT-style trading to identify accumulation ranges and expansion phases. Standard Deviation lines help in spotting overextensions and possible reversal levels.
Liquidity Hunt IndicatorThis indicator automatically detects liquidity pools formed by swing highs and lows using fractal logic. It draws potential buy-side and sell-side liquidity levels (top/bottom lines) and dynamically updates them as price evolves.
White lines = pending liquidity levels (untested).
Red lines = liquidity taken from above (buy-side liquidity sweep).
Green lines = liquidity taken from below (sell-side liquidity sweep).
Alerts trigger when price breaks a liquidity line.
This tool helps traders track where liquidity might be resting and visualize when price sweeps it — useful for smart money concepts (SMC), ICT-style trading, and liquidity-based strategies.
20/40/60Displays three consecutive, connected range boxes showing high/low price ranges for customizable periods. Boxes are positioned seamlessly with shared boundaries for continuous price action visualization.
Features
Three Connected Boxes: Red (most recent), Orange (middle), Green (earliest) periods
Customizable Positioning: Set range length and starting offset from current bar
Individual Styling: Custom colors, transparency, and border width for each box
Display Controls: Toggle borders, fills, and line visibility
Use Cases
Range Analysis: Compare volatility across time periods, spot breakouts
Support/Resistance: Use box boundaries as potential S/R levels
Market Structure: Visualize recent price development and trend patterns
Key Settings
Range Length: Bars per box (default: 20)
Starting Offset: Bars back from current to position boxes (default: 0)
Style Options: Colors, borders, and visibility controls for each box
Perfect for traders analyzing consecutive price ranges and comparing current conditions to recent historical periods.
Volumetric Support and Resistance [BackQuant]Volumetric Support and Resistance
What this is
This Overlay locates price levels where both structure and participation have been meaningful. It combines classical swing points with a volume filter, then manages those levels on the chart as price evolves. Each level carries:
• A reference price (support or resistance)
• An estimate of the volume that traded around that price
• A touch counter that updates when price retests it
• A visual box whose thickness is scaled by volatility
The result is a concise map of candidate support and resistance that is informed by both price location and how much trading occurred there.
How levels are built
Find structural pivots uses ta.pivothigh and ta.pivotlow with a user set sensitivity. Larger sensitivity looks for broader swings. Smaller sensitivity captures tighter turns.
Require meaningful volume computes an average volume over a lookback period and forms a volume ratio for the current bar. A pivot only becomes a level when the ratio is at least the volume significance multiplier.
Avoid clustering checks a minimum level distance (as a percent of price). If a candidate is too close to an existing level, it is skipped to keep the map readable.
Attach a volume strength to the level estimates volume strength by averaging the volume of recent bars whose high to low range spans that price. Levels with unusually high strength are flagged as high volume.
Store and draw levels are kept in an array with fields for price, type, volume, touches, creation bar, and a box handle. On the last bar, each level is drawn as a horizontal box centered at the price with a vertical thickness scaled by ATR. Borders are thicker when the level is marked high volume. Boxes can extend into the future.
How levels evolve over time
• Aging and pruning : levels are removed if they are too old relative to the lookback or if you exceed the maximum active levels.
• Break detection : a level can be removed when price closes through it by more than a break threshold set as a fraction of ATR. Toggle with Remove Broken Levels.
• Touches : when price approaches within the break threshold, the level’s touch counter increments.
Visual encoding
• Boxes : support boxes are green, resistance boxes are red. Box height uses an ATR based thickness so tolerance scales with volatility. Transparency is fixed in this version. Borders are thicker on high volume levels.
• Volume annotation : show the estimated volume inside the box or as a label at the right. If a level has more than one touch, a suffix like “(2x)” is appended.
• Extension : boxes can extend a fixed number of bars into the future and can be set to extend right.
• High volume bar tint : bars with volume above average × multiplier are tinted green if up and red if down.
Inputs at a glance
Core Settings
• Level Detection Sensitivity — pivot window for swing detection
• Volume Significance Multiplier — minimum volume ratio to accept a pivot
• Lookback Period — window for average volume and maintenance rules
Level Management
• Maximum Active Levels — cap on concurrently drawn levels
• Minimum Level Distance (%) — required spacing between level prices
Visual Settings
• Remove Broken Levels — drop a level once price closes decisively through it
• Show Volume Information on Levels — annotate volume and touches
• Extend Levels to Right — carry boxes forward
Enhanced Visual Settings
• Show Volume Text Inside Box — text placement option
• Volume Based Transparency and Volume Based Border Thickness — helper logic provided; current draw block fixes transparency and increases border width on high volume levels
Colors
• Separate colors for support, resistance, and their high volume variants
How it can be used
• Trade planning : use the most recent support and resistance as reference zones for entries, profit taking, or stop placement. ATR scaled thickness provides a practical buffer.
• Context for patterns : combine with breakouts, pullbacks, or candle patterns. A breakout through a high volume resistance carries more informational weight than one through a thin level.
• Prioritization : when multiple levels are nearby, prefer high volume or higher touch counts.
• Regime adaptation : widen sensitivity and increase minimum distance in fast regimes to avoid clutter. Tighten them in calm regimes to capture more granularity.
Why volume support and resistance is used in trading
Support and resistance relate to willingness to transact at certain prices. Volume measures participation. When many contracts change hands near a price:
• More market players hold inventory there, often creating responsive behavior on retests
• Order flow can concentrate again to defend or to exit
• Breaks can be cleaner as trapped inventory rebalances
Conditioning level detection on above average activity focuses attention on prices that mattered to more participants.
Alerts
• New Support Level Created
• New Resistance Level Created
• Level Touch Alert
• Level Break Alert
Strengths
• Dual filter of structure and participation, reducing trivial swing points
• Self cleaning map that retires old or invalid levels
• Volatility aware presentation using ATR based thickness
• Touch counting for persistence assessment
• Tunable inputs for instrument and timeframe
Limitations and caveats
• Volume strength is an approximation based on bars spanning the price, not true per price volume
• Pivots confirm after the sensitivity window completes, so new levels appear with a delay
• Narrow ranges can still cluster levels unless minimum distance is increased
• Large gaps may jump past levels and immediately trigger break conditions
Practical tuning guide
• If the chart is crowded: increase sensitivity, increase minimum level distance, or reduce maximum active levels
• If useful levels are missed: reduce volume multiplier or sensitivity
• If you want stricter break removal: increase the ATR based break threshold in code
• For instruments with session patterns: tailor the lookback period to a representative window
Interpreting touches and breaks
• First touch after creation is a validation test
• Multiple shallow touches suggest absorption; a later break may then travel farther
• Breaks on high current volume merit extra attention
Multi timeframe usage
Levels are computed on the active chart timeframe. A common workflow is to keep a higher timeframe instance for structure and a lower timeframe instance for execution. Align trades with higher timeframe levels where possible.
Final Thoughts
This indicator builds a lightweight, self updating map of support and resistance grounded in swings and participation. It is not a full market profile, but it captures much of the practical benefit with modest complexity. Treat levels as context and decision zones, not guarantees. Combine with your entry logic and risk controls.
Erendev - Sessions for SweepsDescription:
This indicator is designed for intraday traders who focus on liquidity sweeps and session-based market structure.
It automatically draws session boxes for Asia, London, New York, and New York PM and highlights the highs and lows of each session. These levels act as important liquidity reference points.
How it works:
Session Boxes: Visualizes each trading session (Asia, London, New York, NY PM) with adjustable colors and transparency.
Highs/Lows: At the close of each session, the indicator projects horizontal rays of the high/low until touched by price or until the day ends.
Daily Separators: Optional background stripes or vertical lines mark new trading days, helping traders distinguish daily cycles.
Day-of-Week Markers: Marks weekdays at the bottom of the chart to help align intraday patterns.
Alerts: Alerts trigger when price interacts with session highs/lows, allowing traders to track liquidity sweeps in real time.
Unique Concept:
Unlike generic session indicators, this script integrates session-based liquidity sweeps directly into the workflow. It’s not only showing the sessions but also tracks untouched highs/lows as liquidity pools—a key ICT-inspired concept.
By combining session timing, liquidity sweeps, and visual clarity, the tool provides a structured intraday map for traders.
Usage:
Works best on intraday timeframes (1m–60m).
Above 2H, visuals are automatically disabled to keep charts clean.
Traders can hide/show sessions individually and customize line styles, widths, and colors.
Can be used across Forex, Futures, and Indices for scalping or day trading.
