ICT Macro Tracker - Study Version (Original by toodegrees)This indicator is a modified study version of the ICT Algorithmic Macro Tracker by toodegrees, based on the original open-source script available at The original indicator plots ICT Macro windows on the chart, corresponding to specific time [ periods when the Interbank Price Delivery Algorithm undergoes checks/instructions (aka "macros") for the price engine to reprice to an area of liquidity or inefficiency.
This study version adds functionality to hide bars outside macro periods. When enabled, the indicator draws boxes that cover the full chart height during non-macro periods, obscuring those bars so only macro periods are visible. This helps focus on macro-only price action. The feature is configurable, allowing users to enable or disable it and customize the box color. All original functionality remains intact.
Innercircletrader
Khosro XAUUSD Strategy [TradingFinder] Trading Room Hunter Setup🔵 Introduction
The Trading Room Hunter (TRH) strategy is an analytical model based on the Smart Money Concept, developed by Khosro, an Iranian international trader based in Dubai. This approach is built upon a deep understanding of liquidity engineering, market structure shifts, and institutional order flow. Its core objective is to identify the so-called TRH Zone, the area where market liquidity gets trapped and institutional investors begin accumulating positions. Unlike traditional indicator-based methods, the TRH Zone focuses purely on price behavior and supply & demand dynamics to pinpoint the most precise reversal zones in the market.
Within Smart Money logic, every impulsive move in price results from the displacement or absorption of liquidity in a specific range. In the TRH model, the last pivot preceding the impulsive move (Origin Pivot) is defined as the Distal Line, and the Break Candle, which disrupts the market structure, forms the Proximal Line. The area between these two points defines the Trading Room Hunter Zone, a reaction zone where price, after creating a displacement or Break of Structure (BoS), often returns to fill an imbalance and provide a precision entry opportunity.
In essence, the TRH Zone is the region where smart money seeks re-entry after a liquidity sweep and a confirmed CHoCH or BoS. It frequently lies between supply/demand boundaries and fair value gaps (FVGs), forming one of the strongest decision-making frameworks within modern price-action theory. Due to its structural accuracy, the TRH setup can also function as a Set & Forget Setup, where the trader defines the zone, places a limit order, and lets the market naturally react, eliminating emotional decision-making and allowing for automated execution aligned with institutional logic.
🔵 How to Use
In the TRH strategy, entries are taken based on price returning to the area between the last impulsive pivot and the break candle. This range (the TRH Zone) represents the region where liquidity from the previous move remains concentrated. Before continuing its main direction, price often revisits this zone to fill imbalances or mitigate unfilled orders. The logic is simple: every explosive move originates from a point where large orders were executed, and TRH precisely highlights that institutional footprint.
🟣 Bullish Setup
When the market breaks a structural high after a strong bearish leg, liquidity shifts from sellers to buyers. The last bearish candle before the breakout marks the origin of the bullish move, and the zone between that candle and the break candle becomes the smart-money entry area. As price revisits this zone and signs of exhaustion in selling pressure appear, that’s the optimal point for a long position. Stop-loss is placed slightly below the origin pivot, and targets are set at the next supply zone or upper liquidity pool.
🟣 Bearish Setup
Conversely, when the market breaks a structural low after a sharp bullish leg, liquidity transitions from buyers to sellers. The last bullish candle before the drop is identified as the origin pivot, while the bearish break candle defines the lower boundary of the zone. The range between these two points forms the TRH Supply Zone, where late buyers are trapped and fresh institutional selling begins. As price retraces into this zone, short entries can be placed near the upper boundary, with stops above the pivot and targets toward the next liquidity pool below.
Because of its structural precision and clearly defined reaction behavior, TRH is one of the most effective Set & Forget setups in Smart Money trading. Simply mark the zone, place your order, and let the market do the rest.
🔵Setting
🟣 Spike Filter | Movement
Minimum Spike Bars : Defines the minimum number of consecutive candles required for a valid spike.
Movement Power : Enables or disables the momentum-based spike filter.
Movement Power Level : Sets the strength threshold; higher values filter out weaker moves and only detect strong spikes.
Pivot Period : Defines the lookback range used to detect swing highs and swing lows in market structure. A higher value smooths out smaller fluctuations and focuses on major pivots, while a lower value increases sensitivity and identifies minor turning points more frequently.
🟣 Position Management
Stop-Loss Threshold : Enables or disables the stop-loss threshold feature.
Stop-Loss Threshold Value : Defines the value of the stop-loss threshold for risk management.
Risk-Reward Ratio : Sets the desired risk-to-reward ratio (e.g., 1:1 or 1:2).
Wide Zone Filter : Filters out zones that exceed a defined width threshold, preventing detection of overly broad TRH areas.
🟣 Display Settings
Display Mode : Chooses between Setup (showing setups) or Signal (showing trade signals).
Show Entry Levels : Displays entry levels on the chart (buy/sell zones) when enabled
Only Display the Last Position : Displays only the most recent position on the chart when enabled.
Setup Width Drawing : Adjusts the visual width of the setup drawings on the chart for better visibility.
🔵 Conclusion
The TRH strategy is a precise structural model of liquidity flow that identifies zones where smart money is most likely to enter and where price is most likely to react. By combining the Origin Pivot and Break Candle, TRH isolates the key areas that drive institutional order flow. Without relying on indicators, it focuses purely on price structure, making it highly effective for both reactive entries and Set & Forget setups.
Ultimately, TRH creates a balance between market structure and liquidity flow, enabling traders to identify institutional decision zones on the chart with minimal risk and maximum clarity
ICT Sessions With BOS [TradeWithRon]
WITH BOS
This version includes BOS with filter for each session.
NONE,FVG,CISD Filter preset
you can choose how many BOS per session, style etc.
ICT Sessions and killzones maps three intraday sessions on your chart (Asia, London, NY), tracks each session’s live high/low, draws optional session range boxes, and projects ICT OTE zones in real time—with granular styling, touch/mitigation logic, and alerting.
What it does
*Live Session high/low tracking.
Historical session lines:
When a session ends, its final High/Low are preserved as tracked lines (with optional labels) for a configurable number of recent sessions.
Session boxes (ranges):
Draws a shaded box from session start to end that expands with new highs/lows. Limit how many recent boxes remain on chart.
ICT OTE zones (live):
For the currently active session, projects user-defined Fibonacci OTE levels (e.g., 61.8%, 70.5%, 78.6) between the session’s running high and low. Zones update tick-by-tick and can show labels. You can retain a history of recent sessions’ OTE levels.
snapshot
Break visualization (mitigation):
Optionally color the bar when price breaks a stored session High/Low. You can:
Require a body close through the level (vs. any touch)
Auto-remove the line and/or label on touch/close
Use custom break colors per session and side (high/low)
Timestamps:
Add up to two recurring vertical timestamp markers (e.g., 08:00, 09:30), plus an opening horizontal marker (e.g., 09:30) with label that extends until the next occurrence.
Alerts:
Built-in alerts for:
Touch of Session 1/2/3 High/Low (Asia/London/NY)
Touch of OTE levels (per session)
Key inputs:
Time & Limits
Timezone (e.g., GMT-4)
Timeframe limit: hide all drawings on and above a specified TF
Sessions
Session windows (default):
Session 1 (Asia): 18:00–00:00
Session 2 (London): 00:00–06:00
Session 3 (NY): 08:00–12:00
How many to keep (lines/boxes)
Line width, colors, and label suffixes (“High”/“Low”)
Labels: toggle, text (“Asia”, “London”, “NY”), size, and colors
Boxes: toggle per session and background colors
ICT OTE Zones
Toggle per session (Asia/London/NY)
Levels (comma-separated %s, e.g., 61.8,70.5,78.6)
History: number of past sessions to retain
Opacity, line width/style, and label size
Custom label text per session (e.g., “Asia OTE”)
Break/Mitigation Behavior:
Enable Mitigated Candles (bar color on break)
Remove line on touch and/or remove label on touch
Require body close (vs. wick touch)
Custom break colors by session and side
Timestamps
Opening horizontal line (time, style, width, color, label text/size, drawing limit)
Two vertical timestamps (times, style, width, color, drawing limit)
Alerts
Master Enable Alerts
Per-session toggles for High/Low touches
OTE touch alerts
How it works (under the hood)
Detects session state via input.session() windows in the chosen timezone.
Live session High/Low lines and labels update in real time; on session end, final levels are stored with optional labels and tracked length.
OTE zones are live-computed from current session High↔Low and refreshed every bar; a compact rolling history is enforced.
Bar coloring reacts to break events (touch or body-close, per your setting) and uses session-specific colors when enabled.
Timestamp lines/labels are created on each occurrence and trimmed to a drawing limit for performance.
Tips:
To hide session lines but keep boxes, set line color opacity to 0.
Use Timeframe Limit to keep higher-TF charts clean.
Fine-tune OTE Levels and History to balance clarity and performance.
For stricter break logic, enable Require Body Close.
Note: The script reserves high limits for lines/labels/boxes to keep recent context visible while managing cleanup automatically. Adjust “Session Number” and “Number Of Boxes” to suit your workflow.
— © TradeWithRon
ICT Sessions [TradeWithRon]
ICT Sessions and killzones maps three intraday sessions on your chart (Asia, London, NY), tracks each session’s live high/low, draws optional session range boxes, and projects ICT OTE zones in real time—with granular styling, touch/mitigation logic, and alerting.
What it does
Live Session high/low tracking.
Historical session lines:
When a session ends, its final High/Low are preserved as tracked lines (with optional labels) for a configurable number of recent sessions.
Session boxes (ranges):
Draws a shaded box from session start to end that expands with new highs/lows. Limit how many recent boxes remain on chart.
ICT OTE zones (live):
For the currently active session, projects user-defined Fibonacci OTE levels (e.g., 61.8%, 70.5%, 78.6) between the session’s running high and low. Zones update tick-by-tick and can show labels. You can retain a history of recent sessions’ OTE levels.
Break visualization (mitigation):
Optionally color the bar when price breaks a stored session High/Low. You can:
Require a body close through the level (vs. any touch)
Auto-remove the line and/or label on touch/close
Use custom break colors per session and side (high/low)
Timestamps:
Add up to two recurring vertical timestamp markers (e.g., 08:00, 09:30), plus an opening horizontal marker (e.g., 09:30) with label that extends until the next occurrence.
Alerts:
Built-in alerts for:
Touch of Session 1/2/3 High/Low (Asia/London/NY)
Touch of OTE levels (per session)
Key inputs:
Time & Limits
Timezone (e.g., GMT-4)
Timeframe limit: hide all drawings on and above a specified TF
Sessions
Session windows (default):
Session 1 (Asia): 18:00–00:00
Session 2 (London): 00:00–06:00
Session 3 (NY): 08:00–12:00
How many to keep (lines/boxes)
Line width, colors, and label suffixes (“High”/“Low”)
Labels: toggle, text (“Asia”, “London”, “NY”), size, and colors
Boxes: toggle per session and background colors
ICT OTE Zones
Toggle per session (Asia/London/NY)
Levels (comma-separated %s, e.g., 61.8,70.5,78.6)
History: number of past sessions to retain
Opacity, line width/style, and label size
Custom label text per session (e.g., “Asia OTE”)
Break/Mitigation Behavior:
Enable Mitigated Candles (bar color on break)
Remove line on touch and/or remove label on touch
Require body close (vs. wick touch)
Custom break colors by session and side
Timestamps
Opening horizontal line (time, style, width, color, label text/size, drawing limit)
Two vertical timestamps (times, style, width, color, drawing limit)
Alerts
Master Enable Alerts
Per-session toggles for High/Low touches
OTE touch alerts
How it works (under the hood)
Detects session state via input.session() windows in the chosen timezone.
Live session High/Low lines and labels update in real time; on session end, final levels are stored with optional labels and tracked length.
OTE zones are live-computed from current session High↔Low and refreshed every bar; a compact rolling history is enforced.
Bar coloring reacts to break events (touch or body-close, per your setting) and uses session-specific colors when enabled.
Timestamp lines/labels are created on each occurrence and trimmed to a drawing limit for performance.
Tips:
To hide session lines but keep boxes, set line color opacity to 0.
Use Timeframe Limit to keep higher-TF charts clean.
Fine-tune OTE Levels and History to balance clarity and performance.
For stricter break logic, enable Require Body Close.
Note: The script reserves high limits for lines/labels/boxes to keep recent context visible while managing cleanup automatically. Adjust “Session Number” and “Number Of Boxes” to suit your workflow.
— © TradeWithRon
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIntroduction
The ICT Venom Model is one of the most advanced strategies in the ICT framework, designed for intraday trading on major US indices such as US100, US30, and US500. This model is rooted in liquidity theory, time and price dynamics, and institutional order flow.
The Venom Model focuses on detecting Liquidity Sweeps, identifying Fair Value Gaps (FVG), and analyzing Market Structure Shifts (MSS). By combining these ICT core concepts, traders can filter false breakouts, capture sharp reversals, and align their entries with the real institutional liquidity flow during the New York Session.
Key Highlights of ICT Venom Model :
Intraday focus : Optimized for US indices (US100, US30, US500).
Time element : Critical window is 08:00–09:30 AM (Venom Box).
Liquidity sweep logic : Price grabs liquidity at 09:30 AM open.
Confirmation tools : MSS, CISD, FVG, and Order Blocks.
Dual setups : Works in both Bullish Venom and Bearish Venom conditions.
At its core, the ICT Venom Strategy is a framework that explains how institutional players manipulate liquidity pools by engineering false breakouts around the initial range of the market. Between 08:00 and 09:30 AM New York time, a range called the “Venom Box” is formed.
This range acts as a trap for retail traders, and once the 09:30 AM market open occurs, price usually sweeps either the high or the low of this box to collect stop-loss liquidity. After this liquidity grab, the market often reverses sharply, giving birth to a classic Bullish Venom Setup or Bearish Venom Setup
The Venom Model (ICT Venom Trading Strategy) is not just a pattern recognition tool but a precise institutional trading model based on time, liquidity, and market structure. By understanding the Initial Balance Range, watching for Liquidity Sweeps, and entering trades from FVG zones or Order Blocks, traders can anticipate market reversals with high accuracy. This strategy is widely respected among ICT followers because it offers both risk management discipline and clear entry/exit conditions. In short, the Venom Model transforms liquidity manipulation into actionable trading opportunities.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Venom Model is applied by observing price behavior during the early hours of the New York session. The first step is to define the Initial Range, also called the Venom Box, which is formed between 08:00 and 09:30 AM EST. This range marks the high and low points where institutional traders often create traps for retail participants. Once the official market opens at 09:30 AM, price usually sweeps either the top or bottom of this box to collect liquidity.
After this liquidity grab, the market tends to reverse in alignment with the true directional bias. To confirm the setup, traders look for signals such as a Market Structure Shift (MSS), Change in State of Delivery (CISD), or the appearance of a Fair Value Gap (FVG). These elements validate the reversal and provide precise levels for trade execution.
🟣 Bullish Setup
In a Bullish Venom Setup, the market first sweeps the low of the Venom Box after 09:30 AM, triggering sell-side liquidity collection. This downward move is often sharp and deceptive, designed to stop out retail long positions and attract new sellers. Once liquidity is taken, the market typically shifts direction, forming an MSS or CISD that signals a reversal to the upside.
Traders then wait for price to retrace into a Fair Value Gap or a demand-side Order Block created during the reversal leg. This retracement offers the ideal entry point for long positions. Stop-loss placement should be just below the liquidity sweep low, while profit targets are set at the Venom Box high and, if momentum continues, at higher session or daily highs.
🟣 Bearish Setup
In a Bearish Venom Setup, the process is similar but reversed. After the Initial Range is defined, if price breaks above the Venom Box high following the 09:30 AM open, it signals a false breakout designed to collect buy-side liquidity. This move usually traps eager buyers and clears out stop-losses above the high.
After the liquidity sweep, confirmation comes through an MSS or CISD pointing to a reversal downward. At this stage, traders anticipate a retracement into a Fair Value Gap or a supply-side Order Block formed during the reversal. Short entries are taken within this zone, with stop-loss positioned just above the liquidity sweep high. The logical profit targets include the Venom Box low and, in stronger bearish momentum, deeper session or daily lows.
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The ICT Venom Model is more than just a reversal setup; it is a complete intraday trading framework that blends liquidity theory, time precision, and market structure analysis. By focusing on the Initial Range between 08:00 and 09:30 AM New York time and observing how price reacts at the 09:30 AM open, traders can identify liquidity sweeps that reveal institutional intentions.
Whether in a Bullish Venom Setup or a Bearish Venom Setup, the model allows for precise entries through Fair Value Gaps (FVGs) and Order Blocks, while maintaining clear risk management with well-defined stop-loss and target levels.
Ultimately, the ICT Venom Model provides traders with a structured way to filter false moves and align their trades with institutional order flow. Its strength lies in transforming liquidity manipulation into actionable opportunities, giving intraday traders an edge in timing, accuracy, and consistency. For those who master its logic, the Venom Model becomes not only a strategy for entry and exit, but also a deeper framework for understanding how liquidity truly drives price in the New York session.
ICT AI ATR Signals [TradingFinder]🔵 Introduction
In financial markets, two main factors always have the greatest impact on traders’ decisions: the direction of the trend and the level of price volatility. Although there are various tools to analyze each of these factors, very few indicators can combine them in a coordinated and simultaneous way.
The ICT AI ATR indicator has been designed with this purpose in mind, to provide a unified and comprehensive view of the market instead of relying on multiple scattered indicators.
This indicator is built upon two widely used tools: the Moving Average (MA) and the Average True Range (ATR). The combination of these two indicators allows traders to simultaneously track the trend direction and account for market volatility two elements that always play a decisive role in trading decisions.
In the structure of the indicator, the Moving Average acts as the central line and serves as the backbone of the tool. By calculating the average price over a defined period, the Moving Average filters out excess market noise and provides a clearer picture of the overall price movement.
This helps traders focus on the main trend instead of being distracted by minor and temporary fluctuations. The central line is thus the main reference point for identifying the trend direction.
Alongside this, the ATR is responsible for measuring the real volatility of the market. Unlike many tools that only look at closing price changes, the ATR considers the true range of candlestick movements, giving a more accurate view of market dynamics.
In the ICT AI ATR indicator, this feature is used to draw dynamic bands above and below the Moving Average line. These bands shift with changing market conditions and act like dynamic support and resistance levels, areas where strong price reactions often occur.
This combination allows traders not only to see the dominant market trend through the Moving Average but also to understand volatility and the natural price range via the ATR. For this reason, the ICT AI ATR identifies points that are likely to act as reaction or reversal zones, whether during bounces off the bands or breakouts through them.
With this structure, the trader can at a glance :
Identify the overall market direction using the Moving Average.
Observe volatility and the natural range of price movement through ATR.
Recognize key levels where strong reactions or potential reversals are more likely.
As a result, the ICT AI ATR functions as a combined tool that replaces the need to use several separate indicators, enabling traders to analyze trend, volatility, price bands, and even Fibonacci targets within a single unified framework.
🔵 How to Use
The ICT AI ATR indicator is designed to simplify market analysis through two main components: visual display of bands and signals on the chart itself, and a multi-symbol analytical dashboard capable of monitoring over 20 different assets simultaneously across multiple timeframes.
This dashboard feature allows traders to gain a quick overview of overall market conditions without opening multiple charts or constantly switching timeframes. It updates in real-time, showing active Buy (Long) and Sell signals for each symbol.
As such, the combination of direct chart display and dashboard analytics makes the indicator useful both for detailed analysis of a single symbol and for monitoring multiple markets at once.
🟣 How do ICT AI ATR trading signals work?
Sell Signal (Short) : Triggered when the price pushes below the lower band (Low goes outside the lower band) and then closes back above it. This indicates potential weakness in bullish momentum and suggests possible selling pressure or the start of a downward correction. Traders can use this to spot sell setups or manage long positions.
Buy Signal (Long) : Triggered when the price extends above the upper band (High goes outside the upper band) and then closes back below it. This often signals exhaustion in bearish pressure and the return of buying strength, potentially marking the start of a new upward move.
This signaling logic is based on the actual behavior of price relative to the ATR dynamic bands. Unlike static formulas, signals adapt to changing market conditions, making them more accurate and reliable.
The main advantage of the ICT AI ATR indicator is that traders can benefit from real-time analysis directly on the chart by observing price interactions with the bands and signals while also receiving a multi-market overview through the dashboard. This combination is especially valuable for traders who operate across multiple instruments or markets simultaneously.
🔵 Settings
🟣 Logical settings
Moving Average Type : Select the type of moving average for the central line. Options include EMA, SMA, RMA, WMA, or HMA depending on the trading strategy.
Moving Average Period : Defines the length of the moving average. Shorter periods make the central line more responsive to price changes, while longer periods smooth out the line to show the broader trend.
ATR Period : Determines the number of candles considered for volatility calculation. Shorter periods increase sensitivity, while longer periods provide a more stable view of volatility.
ATR Multiplier : Sets the distance between the upper/lower bands and the central moving average line. Higher values widen the bands, while lower values bring them closer to price.
Smooth Period: Used to smooth data and reduce chart noise. Higher values produce smoother, more consistent indicator lines.
Signal Gap : Defines the minimum number of candles required between two consecutive signals. This prevents back-to-back signals from appearing too frequently and ensures only the more reliable ones are shown.
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
🟣 Alert Settings
Alert : Enables alerts for AAS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The ICT AI ATR indicator, by combining three core elements Moving Average for trend detection, ATR for volatility measurement and dynamic bands, and Fibonacci levels for price targets—provides a multi-layered and intelligent tool for market analysis. In addition to showing accurate bands directly on the chart, it also offers a multi-symbol dashboard that allows traders to monitor signals across different assets and timeframes in real time.
The key advantage of this indicator is that it eliminates the need to use several separate tools by integrating trend, volatility, key levels, and trade signals into one unified framework. For this reason, ICT AI ATR is a reliable and effective choice for both short-term traders seeking quick market moves and long-term traders focused on dynamic support and resistance levels.
Ücretli komut dosyası
Session Liquidity [TakingProphets]Session Liquidity
Session Liquidity maps the intraday landscape that ICT/SMC traders care about: each session’s high/low prints, key opens (Midnight, True Day/6PM, 8:30), and prior period reference levels (Previous Week/Day and optional Mon/Tue/Wed). It auto-draws and extends clean horizontal levels, updates them live, and optionally preserves “mitigated” tags so you can review what price consumed. To keep charts readable, overlapping labels at the same price are merged into a single combined label (e.g., LON.H + PDH + PWH) with smart anti-overlap placement.
What it does (at a glance)
– Tracks Asia, London, NY AM, NY Lunch, and NY PM session highs/lows in your chosen timezone (default America/New_York).
– Draws key opens: Midnight Open, True Day Open (6 PM), and 8:30 Open.
– Plots Previous Week High/Low (PWH/PWL) and Previous Day High/Low (PDH/PDL) with optional Mon/Tue/Wed references.
– Live extension: lines extend to the current bar; when a level is traded through you can either remove it or keep a left-anchored “mitigated” label.
– Combined labels: when multiple levels share the same price, the script shows one label listing all tokens (e.g., LON.L + PWL).
– Timeframe governor: a Timeframe Limit hides drawings on higher resolutions to avoid clutter (e.g., show on ≤ 30 min only).
– Styling controls: per-feature colors, dotted/dashed/solid styles, and label size/position (session labels left/center/right logic handled via label types and offsets).
How it works:
– Sessions are defined with TradingView’s session input strings. While you are “in session,” the script updates running highs/lows and stores their bar indices. When the session closes, it freezes the prints and draws two horizontal lines: one at the session high (token “ASIA.H”, “LON.H”, “NYAM.H”, “NYLU.H”, “NYPM.H”) and one at the session low (“…L”).
– Prior period levels come from higher-timeframe requests: Previous Week’s High/Low from W, Previous Day from D (plus Mon/Tue/Wed using simple daily offsets). New periods wipe and redraw lines/labels cleanly.
– Key opens are stamped exactly when they occur (00:00 for Midnight, 18:00 for True Day, 08:30 for the print), then extended forward.
– Mitigation logic: if price trades beyond a level, either remove it entirely (Show Mitigated Levels = off) or stop extending the line and drop a small, persistent left-justified label where mitigation occurred (Show Mitigated Levels = on).
– Label combining: on each update, per-level labels are optionally cleared and replaced with one combined label per price level. The script groups by tick index, merges tokens (e.g., LON.H + PDH), and uses a small vertical offset loop to avoid label collisions at the same x-position.
Inputs you control
– Timeframe Limit: drawings will not appear on charts greater than or equal to this resolution.
– Timezone: default America/New_York.
– Label Settings
– Show Labels / Show Session High/Low Levels.
– Show Mitigated Levels: keep a small label where a level was traded through.
– Combine overlapping level labels: merge tokens into one label if prices match.
– Label sizes for levels and for session start/end text (sizes: Tiny/Small/Normal/Large).
– Visual Settings
– Colors for level lines and label text.
– Styles (Solid/Dashed/Dotted) for Previous Week and Previous Day blocks.
– Custom Labels
– Rename tokens for each session print (e.g., ASIA.H, LON.L, NYAM.H, etc.) to match your playbook.
– Key Opens
– Toggle Midnight Open, True Day Open (6 PM), and 8:30 Open lines; customize colors.
– Previous Week / Previous Day
– Toggle PWH/PWL and PDH/PDL; optionally plot Mon/Tue/Wed reference prints.
– Macro Sessions (toodegrees-style bracket)
– Toggle two macro windows (9:45–10:15 and 10:45–11:15).
– Choose bracket height in ticks, line style, label size/text, and optional price projection.
– The bracket is dynamic during its window (extends across the window; top adapts to new highs + chosen height; label centers on completion).
How to use it:
Pick your Timeframe Limit (e.g., 30) so the map only shows where you execute.
Enable the sessions you trade and keep the timezone aligned to your venue.
Turn on the prior period levels you care about (PWH/PWL, PDH/PDL, Mon/Tue/Wed).
Choose whether to preserve mitigated levels. If you journal, keeping mitigated tags helps with post-session review.
Enable combined labels to reduce clutter and spotlight confluence (e.g., LON.H aligning with PDH).
Use Macro windows for playbook timing (9:45–10:15, 10:45–11:15) to visualize typical volatility brackets.
Practical notes
– The indicator is a context and mapping tool; it does not produce signals. Use with your own bias, PD arrays, and execution model.
– Very long lookbacks or many toggles can push object limits on lower-powered machines. Use Timeframe Limit and feature toggles to keep things light.
– If you use custom sessions, ensure they do not overlap unexpectedly in your timezone.
– “Combine labels” intentionally removes per-level labels in favor of one merged label per price level; mitigated labels are preserved by design.
What’s unique here
– A full intraday “session print” system (Asia/London/NY AM/NY Lunch/NY PM) with clean freezing at session close and live line extension.
– True Day/Midnight/8:30 opens integrated into the same framework for a single, coherent liquidity map.
– Prior period structure (week/day + optional Mon/Tue/Wed) and toodegrees-style macro windows in one tool.
– Robust label merging by tick level with anti-overlap logic so multi-signal confluence is readable at a glance.
Unmitigated Imbalances [TakingProphets] (High Timeframe)Unmitigated Imbalances
Unmitigated Imbalance is designed to automatically detect and display active Fair Value Gaps (FVGs) across multiple higher timeframes and your current chart. It only keeps the ones that remain unmitigated, helping you clearly see where price has “unfinished business” and potential liquidity draw areas. The tool extends these levels forward until they are tagged according to your chosen mitigation criteria, then removes them automatically.
The indicator uses the classic 3-bar FVG structure:
– Bearish FVG forms when the low of the third candle back is above the high of the first candle.
– Bullish FVG forms when the high of the third candle back is below the low of the first candle.
– Each detected gap must meet a minimum size threshold, which is determined automatically from the Sensitivity setting and adjusted for the symbol type.
Higher timeframes (up to 4) can be plotted simultaneously with your current chart’s gaps. The script merges overlapping levels from different timeframes into one clean label, showing all the contributing timeframes together (for example: M15 + H1 + H4). This makes it easy to spot high-confluence levels without cluttering your chart.
Key features
– Multi-timeframe detection: up to 4 custom HTFs plus your current chart.
– Automatic gap size filtering based on chosen Sensitivity (High, Medium, Low).
– Choice of Wick or Close-based mitigation logic.
– Lookback control: 1 Day, 1 Week, 1 Month, or Max.
– Combined labels for overlapping gaps with clear timeframe tags.
– Separate color and style settings for each timeframe’s bullish and bearish gaps.
– Labels can be positioned Left, Right, or Center Above for maximum clarity.
– Automatic line extension until mitigation or until they exceed the lookback period.
How to use
Select your desired higher timeframes in the HTF1–HTF4 settings.
Choose the Sensitivity level to control the minimum gap size detected.
Decide on Wick or Close mitigation according to your trading rules.
Use the Lookback setting to limit how far back the script checks for gaps.
Watch for levels where multiple timeframe labels are stacked — these can carry greater significance.
Incorporate the levels into your existing strategy, using them as context rather than entry signals.
Practical notes
– Current timeframe gaps reset each trading day to keep the chart relevant to intraday bias.
– Higher timeframe gaps remain until mitigated or until the lookback period expires.
– Large lookback periods with multiple HTFs can increase chart load — adjust settings as needed.
– This indicator is a mapping and context tool, not a signal generator. Always apply it alongside your own analysis.
Watermark [TakingProphets] Watermark
A fully customizable watermark & chart info panel to keep your charts branded, organized, and informative — without clutter.
Special thanks to for inspiring the original concept that led to this expanded version.
📌 Overview
Perfect for:
Traders who stream, record, or share charts
Keeping essential info (symbol, TF, date, price) visible
Intraday traders who want day-of-week labels without messy vertical lines
✨ Key Features
1. Personal Watermark
Custom text, colors, size, opacity
Position anywhere: Top, Middle, Bottom × Left, Center, Right
Alignment options: left, center, right
Optional border with adjustable color or hide completely
2. Chart Info Panel
Show any combination of:
Custom text
Symbol
Timeframe (auto-formatted)
Date (MM-DD-YYYY)
Last price
Day of the week
Position independently from watermark
Adjustable background opacity
3. Day-of-Week Labels
Labels Sunday → Saturday at session start or midday
Works on intraday ≤ 15m timeframes
Option to hide weekends
Place labels Top or Bottom
⚙️ How to Use
Enable Watermark → Personal Watermark Settings → Toggle Show Watermark, enter your text, style it.
Set Up Info Panel → Chart Information Panel → Select details, choose position, adjust style.
Add Day Labels → Day of Week Labels Settings → Turn on for intraday charts.
💡 Tips
Lower background opacity for a subtle look.
Use bright colors for streaming so your brand stands out.
Hide unused features to keep charts clean & fast.
🙏 Acknowledgments
This script’s concept was inspired by toodegrees.
Developed by TakingProphets — tools for traders who value clarity, precision, and style.
⚠️ Disclaimer:
This script is for informational purposes only. It is not financial advice. Always trade responsibly and manage your risk.
AMD [TakingProphets]Accumulation Manipulation Distribution – Real-Time HTF Candle Projection for ICT/SMC Traders
Accumulation Manipulation Distribution (AMD) is a premium, real-time indicator designed for traders who use ICT and Smart Money Concepts (SMC). It projects higher timeframe (HTF) candles directly onto your lower timeframe chart, allowing you to monitor institutional price behavior without switching timeframes.
By continuously tracking the open, high, low, and close (OHLC) of active HTF candles, AMD helps traders interpret whether the market is in a phase of accumulation, manipulation, or distribution—a key concept for understanding institutional order flow.
Core Features and How It Works
1. Live HTF Candle Visualization
Displays complete HTF candles — including body and wicks — in real time.
Provides immediate higher timeframe context for lower timeframe execution.
Supports any timeframe from 1 minute to monthly.
2. Real-Time OHLC Projections
Projects the open, high, low, and current close of the active HTF candle as it develops.
Acts as evolving reference points for support, resistance, and directional bias.
Fully customizable with adjustable colors, line styles, and labels.
3. Session Timing and Labeling
Optional time labels mark candle openings and help anticipate session closes.
Supports 12-hour and 24-hour formatting for flexibility across markets.
4. Complete Visual Customization
Configure candle width, wick transparency, border color, and projection lines.
Maintain a clean, professional overlay that aligns with your preferred charting style.
How to Use AMD
Determine HTF Bias: Identify whether the active candle is expanding in your trade direction or showing signs of rejection.
Track Price Reaction: Monitor how price interacts with projected HTF highs, lows, and midpoints—especially during ICT killzones or after liquidity events.
Anchor Lower Timeframe Entries: Combine AMD with tools like Order Blocks, Liquidity Levels, or Rejection Blocks to confirm high-probability Smart Money setups.
This approach allows traders to synchronize LTF executions with HTF market structure, enhancing clarity and confidence in trade selection.
[TehThomas] - ICT Rejection BlocksWhat Are Rejection Blocks?
Rejection Blocks are price zones formed when a candle attempts to push through a level, gets rejected with force, and then closes in the opposite direction. This price action creates a “block” that reflects clear intent from smart money participants. These blocks are typically marked by a large wick that fails to close beyond a key high or low, followed by a body that closes back inside the previous range. The zone around the candle body becomes a footprint of where buyers or sellers aggressively stepped in, often defending that level with size.
Why Rejection Blocks Matter to Smart Money Traders
In any smart money model, understanding where large players are active is key. Rejection Blocks highlight exactly that. These zones often sit just above inducement highs or below engineered lows, where liquidity was taken before displacement occurred. By identifying where price got rejected with conviction, traders can spot the origin of institutional interest. These levels often act as magnets for retracement and can provide high-probability entries when price trades back into them. The best part is they often line up with other SMT elements like Fair Value Gaps, Breaker Blocks, or market structure shifts, allowing for strong confluence-based setups.
How the Indicator Works and Why It’s Effective
This script is designed to do one thing exceptionally well, automatically detect and display clean, high-quality rejection blocks. It filters out noise and only marks candles that meet strict rejection criteria. That means long wicks showing failed pushes, and bodies that close convincingly in the opposite direction. The indicator then draws a box over the candle body to mark the rejection zone. These boxes help map out areas where price is likely to react or stall in the future. By automating this process, the indicator saves time, improves consistency, and removes guesswork. You no longer have to manually scan charts or second-guess if a level is valid, the tool handles it for you.
What This Adds to Your Trading Workflow
This tool fits perfectly into any smart money strategy built around liquidity, displacement, and market structure. It helps you focus on the most meaningful zones, especially when price sweeps a high or low and leaves behind a reversal. Whether you trade breakouts, reversals, or liquidity setups, Rejection Blocks give you a visual confirmation of where price got turned away. They act as future entry zones, rejection points, or even stop placement areas. You can pair them with your Fair Value Gap entries, or use them to validate the direction of a shift in structure. This is the type of tool that simplifies your chart without losing precision.
Optimized for Focus and Clarity
There’s no clutter, no overload of options, and no distractions. Just clean, focused rejection zones that update in real-time. The boxes stay until invalidated, giving you a static map of relevant zones without recalculating on every bar. This makes it ideal for traders who want to plan entries, set alerts, or manage risk without redrawing levels every session. Whether you scalp on the 5M or swing trade using the 4H, this tool helps lock in the zones where price already told you something important, rejection with force.
Conclusion
The Rejection Blocks indicator is for traders who want cleaner charts, smarter levels, and more conviction behind every entry. It isolates zones where price showed clear rejection and turns them into actionable blocks that fit seamlessly into any smart money strategy. If you rely on liquidity sweeps, displacement, and reaction-based entries, this tool brings clarity and consistency to your edge. Just turn it on and let it show you where real rejection occurred.
Example of how to use it
ICT Setup 04 [TradingFinder] SFP Sweep Liquidity Fake CHoCH/BOS🔵 Introduction
In smart money and ICT based trading, liquidity is never random. Some of the most meaningful market moves begin with a liquidity sweep where price intentionally hunts a previous swing high or swing low to trigger stop loss orders and absorb volume.
This manipulation is often followed by a sharp reversal from a reaction zone, creating ideal conditions for a high probability entry. This indicator is built to detect exactly that. It identifies a valid swing point and defines a reaction zone where price is likely to react.
For short setups, the zone lies between the swing high and the maximum of the candle’s open or close. For long setups, it’s drawn from the swing low to the minimum of the open or close.
When price returns to this zone and forms a qualified confirmation candle typically a doji or a small bodied candle that closes inside the zone while sweeping the liquidity this is a potential sign of reversal.
The candle must show both the sweep and the inability to hold above or below the key level, signaling a fake breakout or failed move. By combining elements of liquidity hunt, reaction zone rejection, and candle based entry confirmation, this tool highlights sniper entry points used by smart money to trap retail traders and reverse the trend. It helps filter out noise and enhances timing, making it ideal for trading in alignment with institutional order flow.
Long Position :
Short Position :
🔵 How to Use
This indicator is designed to highlight precise moments where price sweeps liquidity and reacts within a high probability reversal zone. By identifying clean swing highs and lows and defining a smart reaction zone around them, it filters out weak fakeouts and focuses only on setups with strong institutional footprints.
The tool works best when combined with market structure analysis and is suitable for both scalping and intraday trading. Below is a breakdown of how to interpret the signals for long and short positions based on the visual setups provided.
🟣 Long Setup
In a long setup, the indicator first detects a valid swing low where liquidity has likely accumulated below. A reaction zone is then drawn between the swing low and the minimum of the open or close of the swing candle.
When price returns to this zone, it must sweep the previous low and form a precise confirmation candle, such as a doji or a small bodied candle, that closes inside the zone. This candle must also reject the lower level, showing failure to continue downward.
As shown in the chart, once the liquidity grab is complete and the confirmation candle forms, a clean long signal is issued, indicating a potential bullish reversal backed by smart money behavior.
🟣 Short Setup
In a short setup, the indicator identifies a swing high where buy-side liquidity is resting. It then constructs a reaction zone between the high and the maximum of the open or close of the swing candle. Price must return to this zone, sweep the swing high, and form a bearish confirmation candle inside the zone.
A classic example is a doji or rejection candle that traps breakout buyers and fails to hold above the previous high. In the provided chart, the price aggressively hunts the liquidity above the swing high, but the close within the reaction zone signals exhaustion, prompting a short signal with high reversal probability.
These setups represent moments where price action, liquidity behavior, and candle structure align to offer strong entries. By focusing on clean sweeps and reactive confirmations, the indicator helps traders stay on the side of smart money and avoid common breakout traps.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
Maximum Distance Between Swing and Signal :The maximum number of candles allowed between the swing point and the potential signal. The default value is 50, ensuring that only recent and relevant price reactions are considered valid.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
This indicator is built for traders who rely on liquidity driven setups and smart money principles. By combining swing structure analysis with precision reaction zones and strict entry confirmation, it isolates the exact moments where price sweeps liquidity and fails to continue. These are high value points where institutional activity often reveals itself, and retail traps unfold.
Unlike generic breakout tools, this script focuses on quality over quantity by requiring both a sweep of a swing high or low and a confirmed rejection candle that closes inside a predefined zone. With customizable swing depth, proximity filters, visual highlights, and alert functions, it offers a complete framework for identifying and acting on fake breakouts with confidence. Whether you trade forex, crypto, or indices, this tool enhances your ability to align with true order flow and take entries where liquidity is most likely to shift.
FVG Premium [no1x]█ OVERVIEW
This indicator provides a comprehensive toolkit for identifying, visualizing, and tracking Fair Value Gaps (FVGs) across three distinct timeframes (current chart, a user-defined Medium Timeframe - MTF, and a user-defined High Timeframe - HTF). It is designed to offer traders enhanced insight into FVG dynamics through detailed state monitoring (formation, partial fill, full mitigation, midline touch), extensive visual customization for FVG representation, and a rich alert system for timely notifications on FVG-related events.
█ CONCEPTS
This indicator is built upon the core concept of Fair Value Gaps (FVGs) and their significance in price action analysis, offering a multi-layered approach to their detection and interpretation across different timeframes.
Fair Value Gaps (FVGs)
A Fair Value Gap (FVG), also known as an imbalance, represents a range in price delivery where one side of the market (buying or selling) was more aggressive, leaving an inefficiency or an "imbalance" in the price action. This concept is prominently featured within Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies, where such gaps are often interpreted as footprints left by "smart money" due to rapid, forceful price movements. These methodologies suggest that price may later revisit these FVG zones to rebalance a prior inefficiency or to seek liquidity before continuing its path. These gaps are typically identified by a three-bar pattern:
Bullish FVG : This is a three-candle formation where the second candle shows a strong upward move. The FVG is the space created between the high of the first candle (bottom of FVG) and the low of the third candle (top of FVG). This indicates a strong upward impulsive move.
Bearish FVG : This is a three-candle formation where the second candle shows a strong downward move. The FVG is the space created between the low of the first candle (top of FVG) and the high of the third candle (bottom of FVG). This indicates a strong downward impulsive move.
FVGs are often watched by traders as potential areas where price might return to "rebalance" or find support/resistance.
Multi-Timeframe (MTF) Analysis
The indicator extends FVG detection beyond the current chart's timeframe (Low Timeframe - LTF) to two higher user-defined timeframes: Medium Timeframe (MTF) and High Timeframe (HTF). This allows traders to:
Identify FVGs that might be significant on a broader market structure.
Observe how FVGs from different timeframes align or interact.
Gain a more comprehensive perspective on potential support and resistance zones.
FVG State and Lifecycle Management
The indicator actively tracks the lifecycle of each detected FVG:
Formation : The initial identification of an FVG.
Partial Fill (Entry) : When price enters but does not completely pass through the FVG. The indicator updates the "current" top/bottom of the FVG to reflect the filled portion.
Midline (Equilibrium) Touch : When price touches the 50% level of the FVG.
Full Mitigation : When price completely trades through the FVG, effectively "filling" or "rebalancing" the gap. The indicator records the mitigation time.
This state tracking is crucial for understanding how price interacts with these zones.
FVG Classification (Large FVG)
FVGs can be optionally classified as "Large FVGs" (LV) if their size (top to bottom range) exceeds a user-defined multiple of the Average True Range (ATR) for that FVG's timeframe. This helps distinguish FVGs that are significantly larger relative to recent volatility.
Visual Customization and Information Delivery
A key concept is providing extensive control over how FVGs are displayed. This control is achieved through a centralized set of visual parameters within the indicator, allowing users to configure numerous aspects (colors, line styles, visibility of boxes, midlines, mitigation lines, labels, etc.) for each timeframe. Additionally, an on-chart information panel summarizes the nearest unmitigated bullish and bearish FVG levels for each active timeframe, providing a quick glance at key price points.
█ FEATURES
This indicator offers a rich set of features designed to provide a highly customizable and comprehensive Fair Value Gap (FVG) analysis experience. Users can tailor the FVG detection, visual representation, and alerting mechanisms across three distinct timeframes: the current chart (Low Timeframe - LTF), a user-defined Medium Timeframe (MTF), and a user-defined High Timeframe (HTF).
Multi-Timeframe FVG Detection and Display
The core strength of this indicator lies in its ability to identify and display FVGs from not only the current chart's timeframe (LTF) but also from two higher, user-selectable timeframes (MTF and HTF).
Timeframe Selection: Users can specify the exact MTF (e.g., "60", "240") and HTF (e.g., "D", "W") through dedicated inputs in the "MTF (Medium Timeframe)" and "HTF (High Timeframe)" settings groups. The visibility of FVGs from these higher timeframes can be toggled independently using the "Show MTF FVGs" and "Show HTF FVGs" checkboxes.
Consistent Detection Logic: The FVG detection logic, based on the classic three-bar imbalance pattern detailed in the 'Concepts' section, is applied consistently across all selected timeframes (LTF, MTF, HTF)
Timeframe-Specific Visuals: Each timeframe's FVGs (LTF, MTF, HTF) can be customized with unique colors for bullish/bearish states and their mitigated counterparts. This allows for easy visual differentiation of FVGs originating from different market perspectives.
Comprehensive FVG Visualization Options
The indicator provides extensive control over how FVGs are visually represented on the chart for each timeframe (LTF, MTF, HTF).
FVG Boxes:
Visibility: Main FVG boxes can be shown or hidden per timeframe using the "Show FVG Boxes" (for LTF), "Show Boxes" (for MTF/HTF) inputs.
Color Customization: Colors for bullish, bearish, active, and mitigated FVG boxes (including Large FVGs, if classified) are fully customizable for each timeframe.
Box Extension & Length: FVG boxes can either be extended to the right indefinitely ("Extend Boxes Right") or set to a fixed length in bars ("Short Box Length" or "Box Length" equivalent inputs).
Box Labels: Optional labels can display the FVG's timeframe and fill percentage on the box. These labels are configurable for all timeframes (LTF, MTF, and HTF). Please note: If FVGs are positioned very close to each other on the chart, their respective labels may overlap. This can potentially lead to visual clutter, and it is a known behavior in the current version of the indicator.
Box Borders: Visibility, width, style (solid, dashed, dotted), and color of FVG box borders are customizable per timeframe.
Midlines (Equilibrium/EQ):
Visibility: The 50% level (midline or EQ) of FVGs can be shown or hidden for each timeframe.
Style Customization: Width, style, and color of the midline are customizable per timeframe. The indicator tracks if this midline has been touched by price.
Mitigation Lines:
Visibility: Mitigation lines (representing the FVG's opening level that needs to be breached for full mitigation) can be shown or hidden for each timeframe. If shown, these lines are always extended to the right.
Style Customization: Width, style, and color of the mitigation line are customizable per timeframe.
Mitigation Line Labels: Optional price labels can be displayed on mitigation lines, with a customizable horizontal bar offset for positioning. For optimal label placement, the following horizontal bar offsets are recommended: 4 for LTF, 8 for MTF, and 12 for HTF.
Persistence After Mitigation: Users can choose to keep mitigation lines visible even after an FVG is fully mitigated, with a distinct color for such lines. Importantly, this option is only effective if the general setting 'Hide Fully Mitigated FVGs' is disabled, as otherwise, the entire FVG and its lines will be removed upon mitigation.
FVG State Management and Behavior
The indicator tracks and visually responds to changes in FVG states.
Hide Fully Mitigated FVGs: This option, typically found in the indicator's general settings, allows users to automatically remove all visual elements of an FVG from the chart once price has fully mitigated it. This helps maintain chart clarity by focusing on active FVGs.
Partial Fill Visualization: When price enters an FVG, the indicator offers a dynamic visual representation: the portion of the FVG that has been filled is shown as a "mitigated box" (typically with a distinct color), while the original FVG box shrinks to clearly highlight the remaining, unfilled portion. This two-part display provides an immediate visual cue about how much of the FVG's imbalance has been addressed and what potential remains within the gap.
Visual Filtering by ATR Proximity: To help users focus on the most relevant price action, FVGs can be dynamically hidden if they are located further from the current price than a user-defined multiple of the Average True Range (ATR). This behavior is controlled by the "Filter Band Width (ATR Multiple)" input; setting this to zero disables the filter entirely, ensuring all detected FVGs remain visible regardless of their proximity to price.
Alternative Usage Example: Mitigation Lines as Key Support/Resistance Levels
For traders preferring a minimalist chart focused on key Fair Value Gap (FVG) levels, the indicator's visualization settings can be customized to display only FVG mitigation lines. This approach leverages these lines as potential support and resistance zones, reflecting areas where price might revisit to address imbalances.
To configure this view:
Disable FVG Boxes: Turn off "Show FVG Boxes" (for LTF) or "Show Boxes" (for MTF/HTF) for the desired timeframes.
Hide Midlines: Disable the visibility of the 50% FVG Midlines (Equilibrium/EQ).
Ensure Mitigation Lines are Visible: Keep "Mitigation Lines" enabled.
Retain All Mitigation Lines:
Disable the "Hide Fully Mitigated FVGs" option in the general settings.
Enable the feature to "keep mitigation lines visible even after an FVG is fully mitigated". This ensures lines from all FVGs (active or fully mitigated) remain on the chart, which is only effective if "Hide Fully Mitigated FVGs" is disabled.
This setup offers:
A Decluttered Chart: Focuses solely on the FVG opening levels.
Precise S/R Zones: Treats mitigation lines as specific points for potential price reactions.
Historical Level Analysis: Includes lines from past, fully mitigated FVGs for a comprehensive view of significant price levels.
For enhanced usability with this focused view, consider these optional additions:
The on-chart Information Panel can be activated to display a quick summary of the nearest unmitigated FVG levels.
Mitigation Line Labels can also be activated for clear price level identification. A customizable horizontal bar offset is available for positioning these labels; for example, offsets of 4 for LTF, 8 for MTF, and 12 for HTF can be effective.
FVG Classification (Large FVG)
This feature allows for distinguishing FVGs based on their size relative to market volatility.
Enable Classification: Users can enable "Classify FVG (Large FVG)" to identify FVGs that are significantly larger than average.
ATR-Based Threshold: An FVG is classified as "Large" if its height (price range) is greater than or equal to the Average True Range (ATR) of its timeframe multiplied by a user-defined "Large FVG Threshold (ATR Multiple)". The ATR period for this calculation is also configurable.
Dedicated Colors: Large FVGs (both bullish/bearish and active/mitigated) can be assigned unique colors, making them easily distinguishable on the chart.
Panel Icon: Large FVGs are marked with a special icon in the Info Panel.
Information Panel
An on-chart panel provides a quick summary of the nearest unmitigated FVG levels.
Visibility and Position: The panel can be shown/hidden and positioned in any of the nine standard locations on the chart (e.g., Top Right, Middle Center).
Content: It displays the price levels of the nearest unmitigated bullish and bearish FVGs for LTF, MTF (if active), and HTF (if active). It also indicates if these nearest FVGs are Large FVGs (if classification is enabled) using a selectable icon.
Styling: Text size, border color, header background/text colors, default text color, and "N/A" cell background color are customizable.
Highlighting: Background and text colors for the cells displaying the overall nearest bullish and bearish FVG levels (across all active timeframes) can be customized to draw attention to the most proximate FVG.
Comprehensive Alert System
The indicator offers a granular alert system for various FVG-related events, configurable for each timeframe (LTF, MTF, HTF) independently. Users can enable alerts for:
New FVG Formation: Separate alerts for new bullish and new bearish FVG formations.
FVG Entry/Partial Fill: Separate alerts for price entering a bullish FVG or a bearish FVG.
FVG Full Mitigation: Separate alerts for full mitigation of bullish and bearish FVGs.
FVG Midline (EQ) Touch: Separate alerts for price touching the midline of a bullish or bearish FVG.
Alert messages are detailed, providing information such as the timeframe, FVG type (bull/bear, Large FVG), relevant price levels, and timestamps.
█ NOTES
This section provides additional information regarding the indicator's usage, performance considerations, and potential interactions with the TradingView platform. Understanding these points can help users optimize their experience and troubleshoot effectively.
Performance and Resource Management
Maximum FVGs to Track : The "Max FVGs to Track" input (defaulting to 25) limits the number of FVG objects processed for each category (e.g., LTF Bullish, MTF Bearish). Increasing this value significantly can impact performance due to more objects being iterated over and potentially drawn, especially when multiple timeframes are active.
Drawing Object Limits : To manage performance, this script sets its own internal limits on the number of drawing objects it displays. While it allows for up to approximately 500 lines (max_lines_count=500) and 500 labels (max_labels_count=500), the number of FVG boxes is deliberately restricted to a maximum of 150 (max_boxes_count=150). This specific limit for boxes is a key performance consideration: displaying too many boxes can significantly slow down the indicator, and a very high number is often not essential for analysis. Enabling all visual elements for many FVGs across all three timeframes can cause the indicator to reach these internal limits, especially the stricter box limit
Optimization Strategies : To help you manage performance, reduce visual clutter, and avoid exceeding drawing limits when using this indicator, I recommend the following strategies:
Maintain or Lower FVG Tracking Count: The "Max FVGs to Track" input defaults to 25. I find this value generally sufficient for effective analysis and balanced performance. You can keep this default or consider reducing it further if you experience performance issues or prefer a less dense FVG display.
Utilize Proximity Filtering: I suggest activating the "Filter Band Width (ATR Multiple)" option (found under "General Settings") to display only those FVGs closer to the current price. From my experience, a value of 5 for the ATR multiple often provides a good starting point for balanced performance, but you should feel free to adjust this based on market volatility and your specific trading needs.
Hide Fully Mitigated FVGs: I strongly recommend enabling the "Hide Fully Mitigated FVGs" option. This setting automatically removes all visual elements of an FVG from the chart once it has been fully mitigated by price. Doing so significantly reduces the number of active drawing objects, lessens computational load, and helps maintain chart clarity by focusing only on active, relevant FVGs.
Disable FVG Display for Unused Timeframes: If you are not actively monitoring certain higher timeframes (MTF or HTF) for FVG analysis, I advise disabling their display by unchecking "Show MTF FVGs" or "Show HTF FVGs" respectively. This can provide a significant performance boost.
Simplify Visual Elements: For active FVGs, consider hiding less critical visual elements if they are not essential for your specific analysis. This could include box labels, borders, or even entire FVG boxes if, for example, only the mitigation lines are of interest for a particular timeframe.
Settings Changes and Platform Limits : This indicator is comprehensive and involves numerous calculations and drawings. When multiple settings are changed rapidly in quick succession, it is possible, on occasion, for TradingView to issue a "Runtime error: modify_study_limit_exceeding" or similar. This can cause the indicator to temporarily stop updating or display errors.
Recommended Approach : When adjusting settings, it is advisable to wait a brief moment (a few seconds) after each significant change. This allows the indicator to reprocess and update on the chart before another change is made
Error Recovery : Should such a runtime error occur, making a minor, different adjustment in the settings (e.g., toggling a checkbox off and then on again) and waiting briefly will typically allow the indicator to recover and resume correct operation. This behavior is related to platform limitations when handling complex scripts with many inputs and drawing objects.
Multi-Timeframe (MTF/HTF) Data and Behavior
HTF FVG Confirmation is Essential: : For an FVG from a higher timeframe (MTF or HTF) to be identified and displayed on your current chart (LTF), the three-bar pattern forming the FVG on that higher timeframe must consist of fully closed bars. The indicator does not draw speculative FVGs based on incomplete/forming bars from higher timeframes.
Data Retrieval and LTF Processing: The indicator may use techniques like lookahead = barmerge.lookahead_on for timely data retrieval from higher timeframes. However, the actual detection of an FVG occurs after all its constituent bars on the HTF have closed.
Appearance Timing on LTF (1 LTF Candle Delay): As a natural consequence of this, an FVG that is confirmed on an HTF (i.e., its third bar closes) will typically become visible on your LTF chart one LTF bar after its confirmation on the HTF.
Example: Assume an FVG forms on a 30-minute chart at 15:30 (i.e., with the close of the 30-minute bar that covers the 15:00-15:30 period). If you are monitoring this FVG on a 15-minute chart, the indicator will detect this newly formed 30-minute FVG while processing the data for the 15-minute bar that starts at 15:30 and closes at 15:45. Therefore, the 30-minute FVG will become visible on your 15-minute chart at the earliest by 15:45 (i.e., with the close of that relevant 15-minute LTF candle). This means the HTF FVG is reflected on the LTF chart with a delay equivalent to one LTF candle.
FVG Detection and Display Logic
Fair Value Gaps (FVGs) on the current chart timeframe (LTF) are detected based on barstate.isconfirmed. This means the three-bar pattern must be complete with closed bars before an FVG is identified. This confirmation method prevents FVGs from being prematurely identified on the forming bar.
Alerts
Alert Setup : To receive alerts from this indicator, you must first ensure you have enabled the specific alert conditions you are interested in within the indicator's own settings (see 'Comprehensive Alert System' under the 'FEATURES' section). Once configured, open TradingView's 'Create Alert' dialog. In the 'Condition' tab, select this indicator's name, and crucially, choose the 'Any alert() function call' option from the dropdown list. This setup allows the indicator to trigger alerts based on the precise event conditions you have activated in its settings
Alert Frequency : Alerts are designed to trigger once per bar close (alert.freq_once_per_bar_close) for the specific event.
User Interface (UI) Tips
Settings Group Icons: In the indicator settings menu, timeframe-specific groups are marked with star icons for easier navigation: 🌟 for LTF (Current Chart Timeframe), 🌟🌟 for MTF (Medium Timeframe), and 🌟🌟🌟 for HTF (High Timeframe).
Dependent Inputs: Some input settings are dependent on others being enabled. These dependencies are visually indicated in the settings menu using symbols like "↳" (dependent setting on the next line), "⟷" (mutually exclusive inline options), or "➜" (directly dependent inline option).
Settings Layout Overview: The indicator settings are organized into logical groups for ease of use. Key global display controls – such as toggles for MTF FVGs, HTF FVGs (along with their respective timeframe selectors), and the Information Panel – are conveniently located at the very top within the '⚙️ General Settings' group. This placement allows for quick access to frequently adjusted settings. Other sections provide detailed customization options for each timeframe (LTF, MTF, HTF), specific FVG components, and alert configurations.
█ FOR Pine Script® CODERS
This section provides a high-level overview of the FVG Premium indicator's internal architecture, data flow, and the interaction between its various library components. It is intended for Pine Script™ programmers who wish to understand the indicator's design, potentially extend its functionality, or learn from its structure.
System Architecture and Modular Design
The indicator is architected moduarly, leveraging several custom libraries to separate concerns and enhance code organization and reusability. Each library has a distinct responsibility:
FvgTypes: Serves as the foundational data definition layer. It defines core User-Defined Types (UDTs) like fvgObject (for storing all attributes of an FVG) and drawSettings (for visual configurations), along with enumerations like tfType.
CommonUtils: Provides utility functions for common tasks like mapping user string inputs (e.g., "Dashed" for line style) to their corresponding Pine Script™ constants (e.g., line.style_dashed) and formatting timeframe strings for display.
FvgCalculations: Contains the core logic for FVG detection (both LTF and MTF/HTF via requestMultiTFBarData), FVG classification (Large FVGs based on ATR), and checking FVG interactions with price (mitigation, partial fill).
FvgObject: Implements an object-oriented approach by attaching methods to the fvgObject UDT. These methods manage the entire visual lifecycle of an FVG on the chart, including drawing, updating based on state changes (e.g., mitigation), and deleting drawing objects. It's responsible for applying the visual configurations defined in drawSettings.
FvgPanel: Manages the creation and dynamic updates of the on-chart information panel, which displays key FVG levels.
The main indicator script acts as the orchestrator, initializing these libraries, managing user inputs, processing data flow between libraries, and handling the main event loop (bar updates) for FVG state management and alerts.
Core Data Flow and FVG Lifecycle Management
The general data flow and FVG lifecycle can be summarized as follows:
Input Processing: User inputs from the "Settings" dialog are read by the main indicator script. Visual style inputs (colors, line styles, etc.) are consolidated into a types.drawSettings object (defined in FvgTypes). Other inputs (timeframes, filter settings, alert toggles) control the behavior of different modules. CommonUtils assists in mapping some string inputs to Pine constants.
FVG Detection:
For the current chart timeframe (LTF), FvgCalculations.detectFvg() identifies potential FVGs based on bar patterns.
For MTF/HTF, the main indicator script calls FvgCalculations.requestMultiTFBarData() to fetch necessary bar data from higher timeframes, then FvgCalculations.detectMultiTFFvg() identifies FVGs.
Newly detected FVGs are instantiated as types.fvgObject and stored in arrays within the main script. These objects also undergo classification (e.g., Large FVG) by FvgCalculations.
State Update & Interaction: On each bar, the main indicator script iterates through active FVG objects to manage their state based on price interaction:
Initially, the main script calls FvgCalculations.fvgInteractionCheck() to efficiently determine if the current bar's price might be interacting with a given FVG.
If a potential interaction is flagged, the main script then invokes methods directly on the fvgObject instance (e.g., updateMitigation(), updatePartialFill(), checkMidlineTouch(), which are part of FvgObject).
These fvgObject methods are responsible for the detailed condition checking and the actual modification of the FVG's state. For instance, the updateMitigation() and updatePartialFill() methods internally utilize specific helper functions from FvgCalculations (like checkMitigation() and checkPartialMitigation()) to confirm the precise nature of the interaction before updating the fvgObject’s state fields (such as isMitigated, currentTop, currentBottom, or isMidlineTouched).
Visual Rendering:
The FvgObject.updateDrawings() method is called for each fvgObject. This method is central to drawing management; it creates, updates, or deletes chart drawings (boxes, lines, labels) based on the FVG's current state, its prev_* (previous bar state) fields for optimization, and the visual settings passed via the drawSettings object.
Information Panel Update: The main indicator script determines the nearest FVG levels, populates a panelData object (defined in FvgPanelLib), and calls FvgPanel.updatePanel() to refresh the on-chart display.
Alert Generation: Based on the updated FVG states and user-enabled alert settings, the main indicator script constructs and triggers alerts using Pine Script's alert() function."
Key Design Considerations
UDT-Centric Design: The fvgObject UDT is pivotal, acting as a stateful container for all information related to a single FVG. Most operations revolve around creating, updating, or querying these objects.
State Management: To optimize drawing updates and manage FVG lifecycles, fvgObject instances store their previous bar's state (e.g., prevIsVisible, prevCurrentTop). The FvgObject.updateDrawings() method uses this to determine if a redraw is necessary, minimizing redundant drawing calls.
Settings Object: A drawSettings object is populated once (or when inputs change) and passed to drawing functions. This avoids repeatedly reading numerous input() values on every bar or within loops, improving performance.
Dynamic Arrays for FVG Storage: Arrays are used to store collections of fvgObject instances, allowing for dynamic management (adding new FVGs, iterating for updates).
London Judas Swing Indicator by PoorTomTradingThis indicator is designed to help people identify and trade the London Judas Swing by Inner Circle Trader (ICT).
UPDATES IN V2:
This is a v2 update with automatic timezone settings, there is no longer any need to adjust the time or offset for DST.
It will now also work on any chart that trades during the Asia and London sessions (20:00 - 05:00 NY Time), including crypto.
It is recommended to use this indicator on the 5 minute timeframe.
INTRODUCTION OF KEY CONCEPTS:
Swing Points are a candle patterns defining highs and lows, these are explained further down in the description in more detail. They are shown on the indicator by arrows above and below candles. They can be removed if you wish by turning their opacity to 0% in settings. Swing points are automatically removed when price trades beyond them (above swing highs, below swing lows).
The Asia Session can be set by the user, but is defined by default as 20:00 - 00:00 NY time. Lines are drawn at the high and low of the Asia Session and the Asian Range is set at midnight.
The London Session is defined as 02:00 - 05:00 NY time.
The user can also include the pre-London session (00:00 - 02:00) for detection of breakouts and Market Structure Breaks (MSBs - explained lower down in the description with examples). This is selected by default.
EXPLANATION OF INDICATOR:
During the London Session, the indicator will wait for a break of either the high or low of the Asian Range.
When this is detected, it will draw a dashed line where the breakout occurred and trigger an alert.
After the break of the Asian Range, the indicator will look for an MSB in the opposite direction, which is when price closes beyond a swing point opposing current price direction. The indicator will draw a line indicating the MSB point and trigger an alert.
Finally, the indicator will also trigger an alert when price returns to this MSB level, which is the most simple Judas Swing entry method.
The Judas swing
Example with chart for Judas Swing short setups -
Price breaks above the Asia High, no candle close is required, the indicator will then wait for price to close a candle below the last swing low.
A swing low is defined as a 3 candle pattern, with two candles on either side of the middle one having higher lows. When a candle closes below the middle candle's low, that is an MSB.
When price returns to the MSB point, the Take Profit and Stop Loss levels will appear.
When price goes to either the Stop Loss or Take Profit level, the MSB, TP and SL, lines will be removed.
After this, if price creates a new setup in the opposite direction, the indicator will also work for this, as shown in this example that occurred right after the first example
SETTINGS:
- The "Swing Point strength" can be adjusted in the settings.
Example:
For a swing low:
The default setting is 1 (one candle on each side of a middle candle has a higher low).
You can change this setting to 2, for a 5 candle pattern (two candles on each side of the middle candle have higher lows).
This can be changed to a maximum of 10. But only 1 or 2 is recommended especially on the 5 minute chart.
- ATR Length and Triangle Distance Multiplier settings are for adjusting how the swing point symbols appear on the chart.
This is to ensure triangles are not drawn over candles when price gets volatile.
The default setting is ideal for almost all market conditions, but you can play around with it to adjust to your liking.
- Alerts.
For alerts to be triggered, they must first be selected in settings.
Then you need to go on to the chart and right-click on an element of the indicator (such as the swing point symbols) and select "add alert on PTT-LJS-v2".
If after this, you change any settings on the indicator such as session times or pre-London session, you must add the alert again, and delete the old one if you wish.
First Presented Fair Value Gap [TakingProphets]🧠 Indicator Purpose:
The "First Presented Fair Value Gap" (FPFVG) by Taking Prophets is a precision tool designed for traders utilizing Inner Circle Trader (ICT) concepts. It automatically detects and highlights the first valid Fair Value Gap (FVG) that forms between 9:30 AM and 10:00 AM New York time — one of the most critical windows in ICT-based trading frameworks.
It also plots the Opening Range Equilibrium (the average of the previous day's 4:14 PM close and today's 9:30 AM open) — a key ICT reference point for premium/discount analysis.
🌟 What Makes This Indicator Unique:
This script is highly specialized for early session trading and offers:
Automatic Detection: Finds the first Fair Value Gap after the 9:30 AM NYSE open.
Clear Visualization: Highlights the FVG zone and labels it with optional time stamps.
Equilibrium Line: Plots the Opening Range Equilibrium for instant premium/discount context.
Time-Sensitive Logic: Limits detection to the most volatile early session (9:30 AM - 10:00 AM).
Extension Options: You can extend both the FVG box and Equilibrium line out to 3:45 PM (end of major session liquidity).
⚙️ How the Indicator Works (Detailed):
Pre-Market Setup:
Captures the previous day's 4:14 PM close.
Captures today's 9:30 AM open.
Calculates the Equilibrium (midpoint between the two).
After 9:30 AM (New York Time):
Monitors each 1-minute candle for the creation of a Fair Value Gap:
Bullish FVG: Low of the current candle is above the high two candles ago.
Bearish FVG: High of the current candle is below the low two candles ago.
The first valid gap is boxed and optionally labeled.
Post-Detection Management:
The FVG box and label extend forward in time until 3:45 PM (or the current time, based on settings).
If enabled, the Equilibrium line and label also extend to help with premium/discount analysis.
🎯 How to Use It:
Step 1: Wait for market open (9:30 AM New York time).
Step 2: Watch for the first presented FVG on the 1-minute chart.
Step 3: Use the FPFVG zone to guide entries (retracements, rejections, or breaks).
Step 4: Use the Opening Range Equilibrium to determine premium vs. discount conditions:
Price above Equilibrium = Premium market.
Price below Equilibrium = Discount market.
Best Application:
In combination with ICT Killzones, especially during the London or New York Open.
When framing intraday bias and identifying optimal trade locations based on liquidity theory.
🔎 Underlying Concepts:
Fair Value Gaps: Price imbalances where liquidity is likely inefficient and future rebalancing can occur.
Opening Range Equilibrium: Key ICT price anchor used to separate premium and discount conditions post-open.
Time-Gated Setup: Limits focus to early session price action, aligning with inner circle trader timing models.
🎨 Customization Options:
FVG color, label visibility, and label size.
Opening Range Equilibrium line visibility and label styling.
Extend lines and boxes to 3:45 PM automatically for full session tracking.
✅ Recommended for:
Traders applying Inner Circle Trader (ICT) models.
Intraday scalpers or day traders trading the New York session open.
Traders who want to frame early session bias and liquidity traps effectively.
Flow State Model [TakingProphets]🧠 Indicator Purpose:
The "Flow State Model" by Taking Prophets is a precision-built trading framework based on the Inner Circle Trader (ICT) methodology. This script implements and automates the Flow State Model, a highly effective multi-timeframe trading system created and popularized by ITS Johnny.
It is designed to help traders systematically align higher timeframe liquidity draws with lower timeframe confirmation patterns, offering a clear roadmap for catching institutional moves with high confidence.
🌟 What Makes This Indicator Unique:
This is not a simple liquidity indicator or a basic FVG plotter. The Flow State Model executes a full multi-step process:
Higher Timeframe PD Array Detection: Automatically identifies and displays Fair Value Gaps (FVGs) from Daily, Weekly, and Monthly timeframes.
Liquidity Sweep Monitoring: Tracks swing highs and lows to detect Buyside or Sellside Liquidity sweeps into the HTF PD Arrays.
CISD Detection: Waits for a Change in State of Delivery (CISD) by monitoring bullish or bearish displacement after a sweep.
Full Trade Checklist: Visual checklist ensures all critical conditions are met before signaling a completed Flow State setup.
Sensitivity Control: Adapt detection strictness (High, Medium, Low) based on market volatility.
⚙️ How the Indicator Works (Detailed):
Fair Value Gap Mapping:
The indicator constantly scans higher timeframes (4H, Daily, Weekly) for valid bullish or bearish Fair Value Gaps that are large enough (based on ATR multiples) and not weekend gaps.
These FVGs are displayed on the current timeframe with full extension logic and mitigation handling (clearing when invalidated).
Liquidity Sweep Detection:
Swing highs and lows are identified using pivot logic (3-bar pivots). When price sweeps beyond a recent liquidity point into an active FVG, it flags the potential for a Flow State setup.
Change in State of Delivery (CISD) Confirmation:
After a sweep, the script monitors price action for a sequence of bullish or bearish candles followed by displacement (break in delivery).
Only after displacement closes beyond the initiating sequence does a CISD level plot, confirming the market's new delivery state.
Execution Checklist:
An optional table tracks whether critical components are present:
Higher Timeframe PD Array.
Aligned Timeframe Bias.
Liquidity Sweep into FVG.
SMT Divergence (optional manual confirmation).
CISD Confirmation.
Dynamic Management:
Active gaps are extended automatically.
Cleared gaps and mitigated CISDs are deleted to keep charts clean.
Distance-to-FVG prioritization keeps only the nearest active setups visible.
🎯 How to Use It:
Step 1: Identify the bias by locating active higher timeframe FVGs.
Step 2: Wait for a Liquidity Sweep into a PD Array (active FVG).
Step 3: Watch for a CISD event (the Flow State confirmation).
Step 4: Once all conditions are checked off, execute trades based on retracements to CISD levels or continuation after displacement.
Best Timing:
During ICT Killzones: London Open, New York AM.
After daily or weekly liquidity events.
🔎 Underlying Concepts:
Liquidity Theory: Markets seek to engineer liquidity for real institutional entries.
Fair Value Gaps: Imbalances where price is expected to react or rebalance.
Change in State of Delivery (CISD): Confirmation that the market's delivery mechanism has shifted, validating bias continuation.
Flow State Principle: Seamlessly aligning higher timeframe liquidity draws with lower timeframe confirmation to maximize trade probability.
🎨 Customization Options:
Adjust sensitivity (High / Medium / Low) for volatile or calm conditions.
Customize FVG visibility, CISD display, labels, line colors, and sizing.
Set checklist visibility and manual tracking of SMT or aligned bias.
✅ Recommended for:
Traders studying Inner Circle Trader (ICT) models.
Intraday scalpers and swing traders seeking confluence-driven setups.
Traders looking for a structured, checklist-based execution process.
Rejection Blocks [Taking Prophets]🧠 Indicator Purpose:
The "Rejection Blocks" indicator is built for traders using Inner Circle Trader (ICT) concepts. It identifies key reversal zones where price action shows strong rejection through wick-dominant behavior around major swing points — often signaling institutional activity. Traders can use these rejection blocks to anticipate future support, resistance, and mitigation zones based on ICT principles.
🌟 What Makes This Indicator Unique:
Unlike standard support/resistance indicators, this script detects true rejection points by filtering only candles where the wick is significantly larger than the body, confirming potential order flow shifts according to ICT methodology.
It not only marks these zones but also:
Dynamically extends the blocks into the future.
Deletes blocks that get invalidated (mitigation logic).
Optionally plots a 50% midline within each block to refine entry or exit precision.
⚙️ How the Indicator Works:
Swing Detection: Identifies significant highs and lows based on pivot structures.
Rejection Filtering: Confirms strong rejections with wick-to-body ratio validation.
Block Creation: Highlights bullish or bearish rejection zones with customizable visuals.
Midline Plotting: (Optional) Marks the 50% midpoint of the block for entry targeting.
Mitigation and Cleanup: Blocks are deleted automatically when their structure is invalidated, maintaining a clean and accurate chart view.
🎯 How to Use It:
Identify Reaction Zones: Use rejection blocks as potential areas for price reversals or consolidations.
Plan Trade Entries: Monitor retests of the block boundaries or 50% lines for precision entries.
Manage Risk: If price closes beyond the block, treat it as a potential invalidation or Change in State of Delivery (CISD) event.
Best Contexts:
Near higher timeframe Points of Interest (POIs) such as Order Blocks or Fair Value Gaps.
During ICT Killzones (London Open, New York AM).
🔎 Underlying Concepts:
Wick Rejections: Indicate strong liquidity rejection, aligning with ICT liquidity sweep theories.
Mitigation Behavior: Blocks often serve as revisit zones where price rebalances after an aggressive move.
Adaptive Market Behavior: Rejection Blocks adjust dynamically based on real-time price action according to ICT market structure logic.
🎨 Customization Options:
Bullish and Bearish block colors with adjustable opacity.
Border visibility, border width, and 50% midline display toggles.
Label size customization for optimal chart clarity.
✅ Recommended for:
Traders following Inner Circle Trader (ICT) concepts.
Scalpers, intraday, and swing traders seeking accurate reversal and mitigation zones.
Traders looking to improve precision around liquidity rejection events.
CISD [TakingProphets]🧠 Indicator Purpose:
The "CISD - Change in State of Delivery" is a precision tool designed for traders utilizing ICT (Inner Circle Trader) conecpets. It detects critical shifts in delivery conditions after liquidity sweeps — helping you spot true smart money activity and optimal trade opportunities. This script is especially valuable for traders applying liquidity concepts, displacement recognition, and market structure shifts at both intraday and swing levels.
🌟 What Makes This Indicator Unique:
Unlike basic trend-following or scalping tools, CISD operates through a two-phase smart money logic:
Liquidity Sweep Detection (sweeping Buyside or Sellside Liquidity).
State of Delivery Change Identification (through bearish or bullish displacement after the sweep).
It intelligently tracks candle sequences and only signals a CISD event after true displacement — offering a much deeper context than ordinary indicators.
⚙️ How the Indicator Works:
Swing Point Detection: Identifies recent pivot highs/lows to map Buyside Liquidity (BSL) and Sellside Liquidity (SSL) zones.
Liquidity Sweeps: Watches for price breaches of these liquidity points to detect institutional stop hunts.
Sequence Recognition: Finds series of same-direction candles before sweeps to mark institutional accumulation/distribution.
Change of Delivery Confirmation: Confirms CISD only after significant displacement moves price against the initial candle sequence.
Visual Markings: Automatically plots CISD lines and optional labels, customizable in color, style, and size.
🎯 How to Use It:
Identify Liquidity Sweeps: Watch for CISD levels plotted after a liquidity sweep event.
Plan Entries: Look for retracements into CISD lines for high-probability entries.
Manage Risk: Use CISD levels to refine your stop-loss and profit-taking zones.
Best Application:
After stop hunts during Killzones (London Open, New York AM).
As part of the Flow State Model: identify higher timeframe PD Arrays ➔ wait for lower timeframe CISD confirmation.
🔎 Underlying Concepts:
Liquidity Pools: Highs and lows cluster stop orders, attracting institutional sweeps.
Displacement: Powerful price moves post-sweep confirm smart money involvement.
Market Structure: CISD frequently precedes major Change of Character (CHoCH) or Break of Structure (BOS) shifts.
🎨 Customization Options:
Adjustable line color, width, and style (solid, dashed, dotted).
Optional label display with customizable color and sizing.
Line extension settings to keep CISD zones visible for future reference.
✅ Recommended for:
Traders studying ICT Smart Money Concepts.
Intraday scalpers and higher timeframe swing traders.
Traders who want to improve entries around liquidity sweeps and institutional displacement moves.
🚀 Bonus Tip:
For maximum confluence, pair this with the HTF POI, ICT Liquidity Levels, and HTF Market Structure indicators available at TakingProphets.com! 🔥
[itradesize] ICT Opening range
This indicator automatically annotates the opening ranges of the AM and PM sessions. It should be used on the 1-minute timeframe , although you can check and build a further models when using a 2-3-4 or even 5-minute timeframe. You can customize this under the settings tab.
Additionally, it includes features such as standard deviations and the initial fair value gap presented. Everything is based on what ICT said in his algorithmic timing video.
The algorithm will continue to adjust prices higher or lower until it reaches a predetermined target price. This process will occur within specific time frames: the last 10 minutes before the hour and the first 10 minutes after a new hour begins.
For the AM session opening range, this is from 9:30 to 10:00 , and for the PM session, it's from 13:30 to 14:00 . Defining these ranges allows us to identify the first presented fair value gaps there, as the algorithm is designed to leave these signatures for smart money. This process of time-based delivery precision repeats every day. You can build a whole New York model on this.
It's important to journal and backtest your results results. If the market breaks the opening range on either side and there is evident liquidity, it is highly likely that it will pursue that liquidity.
However, before doing so, the market should retrace back to the first fair value gap if it hasn’t already occurred or back to the 0.75 or 0.5 level of the range at maximum.
When does this happen? Typically, when a macro event occurs— for example, during the lunch macro from 11:30 to 12:00 . In most cases, you can expect a retracement during lunch macro. If the market retraces beyond these levels, there is a higher probability that the expected scenario will not play out.
The algorithm primarily refers to the 30-minute opening range each time. The standard deviation levels can be used to establish algorithmic delivery targets and anticipate another run after the PM session opening range has occurred. The AM session often helps determine the likely direction of movement after the PM session range concludes.
The PM macro runs from 15:15 to 15:45 . At this time, the market will typically operate within the narrative that is currently underway.
[TehThomas] - ICT SMT DivergencesIntroduction
SMT Divergences is a cutting-edge trading tool designed for traders who utilize Smart Money Techniques (SMT), a core concept in the Inner Circle Trader (ICT) methodology. This indicator is specifically built to detect SMT divergences by comparing price action across multiple correlated assets. It helps traders identify institutional activity, liquidity grabs, and inefficiencies in the market, offering valuable insights for high-probability trade setups.
Smart Money Techniques revolve around the idea that institutional traders and large market participants leave behind footprints in the form of price divergences. By analyzing multiple asset pairs simultaneously, this indicator helps traders pinpoint areas where one market structure contradicts another, revealing potential trade opportunities before the majority of retail traders notice them.
What is SMT Divergence?
Smart Money Divergence (SMT) occurs when correlated assets or markets behave differently in key areas of interest. These divergences often indicate market inefficiencies caused by liquidity grabs or institutional order flow. There are two main types of SMT divergences:
1. Bearish SMT Divergence (Smart Money Distribution) 🔴
Occurs when:
One asset makes a higher high, while another correlated asset makes a lower high.
This signals underlying weakness in the price action of the first asset.
Institutions may be offloading positions, preparing for a downward move.
📉 Example: If GBP/USD makes a higher high, but EUR/USD makes a lower high, it indicates potential weakness in GBP/USD and a possible short opportunity.
2. Bullish SMT Divergence (Smart Money Accumulation) 🔵
Occurs when:
One asset makes a lower low, while another correlated asset makes a higher low.
This suggests strength and potential accumulation by institutional traders.
Smart Money may be positioning for a bullish reversal.
📈 Example: If NASDAQ (US100) makes a lower low, but S&P 500 (US500) makes a higher low, it could indicate bullish strength in the stock market, suggesting a possible long trade.
How This Indicator Works
The SMT Divergences automatically identifies and plots SMT divergences on your chart, allowing you to spot hidden market imbalances at a glance.
🔍 Key Features
✅ Compare Up to 4 Assets Simultaneously – Select up to four correlated pairs to compare against the main charted asset.
✅ Automatic Detection of SMT Divergences – The script finds divergences in swing highs and swing lows and visually marks them on the chart.
✅ Customizable Line Styles & Colors – Adjust the appearance of the divergence lines and labels to suit your trading style.
✅ Smart Labeling System – Displays which asset pairs are diverging, making it easy to analyze market conditions.
✅ Works Across Multiple Markets – Use for Forex, Indices, Crypto, and Commodities, giving traders flexibility in different asset classes.
✅ Designed for ICT Traders – Aligns perfectly with other ICT concepts such as Liquidity Zones, Order Blocks, and Fair Value Gaps (FVGs).
🛠 Indicator Settings & Customization
The indicator provides various settings to tailor it to your trading preferences:
Pivot Lookback Length: Adjusts how many bars the indicator looks back to determine swing highs/lows.
Symbol Selection: Choose up to four additional assets to compare against your main trading pair.
Divergence Line Colors: Customize the color of bearish (red) and bullish (blue) divergences for better visibility.
Line Styles: Choose between solid, dotted, or dashed lines to highlight divergences in your preferred way.
Label Customization: Modify text color and display preferences for a clean and informative chart layout.
How to Use This Indicator in Your Trading Strategy
This indicator is best used in combination with other ICT concepts to improve confluence and increase trade accuracy. Here’s how you can integrate it into your trading strategy:
🔹 Step 1: Identify SMT Divergences
Wait for bullish or bearish SMT divergences to appear on your chart.
Check if the divergence aligns with key liquidity zones, fair value gaps (FVGs), or order blocks.
🔹 Step 2: Confirm Institutional Activity
Look for liquidity sweeps (stop hunts) before a potential reversal.
If a bearish SMT divergence forms near a major resistance level, it may signal Smart Money selling.
If a bullish SMT divergence forms near a support zone, it could indicate accumulation.
🔹 Step 3: Enter a Trade with Confluence
Combine SMT divergences with market structure shifts to time entries.
Use additional ICT tools like Premium & Discount Arrays, Volume Profile, and Market Maker Models for confirmation.
Set stop-losses above liquidity zones and aim for high-risk reward ratios.
🔹 Step 4: Manage Risk & Take Profits
Always use proper risk management, keeping an eye on liquidity grabs and market sentiment.
Consider taking partial profits at key structural points and letting the rest of the trade run.
Why This Indicator is a Game-Changer for ICT Traders
Traditional retail traders often fail to spot Smart Money footprints, which is why many struggle with false breakouts and liquidity traps. The - ICT SMT Divergences indicator eliminates this problem by providing a clear, visual representation of SMT divergences, allowing traders to track institutional movements in real-time.
🔹 Save Time – No need to manually compare charts; the script does the work for you.
🔹 Improve Accuracy – Get high-probability trade setups by following institutional footprints.
🔹 Enhance Your Trading Edge – Use SMT divergences in combination with liquidity grabs, order blocks, and fair value gaps to refine your strategy.
🔹 Universal Market Compatibility – Works for Forex, Indices, Crypto, Commodities, and even Stocks, giving you flexibility in different markets.
Final Thoughts
The SMT Divergences is a must-have tool for traders who rely on Smart Money Techniques (SMT) and ICT methodologies. By identifying SMT divergences across multiple correlated markets, this indicator provides unparalleled insights into institutional trading behavior and enhances your ability to trade with Smart Money.
Whether you are a day trader, swing trader, or position trader, this indicator will help you make more informed decisions, avoid liquidity traps, and improve your overall profitability.
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Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀
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Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
[TehThomas] - ICT Volume ImbalanceThis script is a Volume Imbalance (VI) detector and visualizer for use on the TradingView platform. The goal of the script is to automatically identify areas where there are significant imbalances in the volume of trades between consecutive candlesticks and visually highlight these areas. These imbalances can provide traders with valuable insights about the market’s current condition, often signaling potential reversal or continuation points based on price and volume action.
ICT (Inner Circle Trader) Concept of Volume Imbalances
Volume imbalances are a critical concept in the ICT trading methodology. They refer to situations where there is an unusual or significant difference in volume between two consecutive candlesticks, which might indicate institutional or large player activity. According to ICT principles, these imbalances can show us areas of market inefficiency or potential price manipulation. By identifying these imbalances, traders can gain an edge in understanding where the market is likely to move next.
Bullish and Bearish Volume Imbalances:
Bullish Volume Imbalance: This occurs when there is a strong increase in buying pressure, typically indicated by a higher volume on a candle that closes significantly above the previous one, often leaving a gap or larger price movement. The market could be preparing to push higher, and the volume shows a clear shift in buying demand.
Bearish Volume Imbalance:
Conversely, a bearish imbalance occurs when there is a strong increase in selling pressure, typically signaled by a candle that closes significantly lower than the previous one, again with higher volume. This could indicate that large players are offloading positions, and the price is likely to drop further.
Key Features and Functions of the Script
The script automates the process of detecting these volume imbalances and visually marking them on a price chart. Let’s explore its functionality in detail.
1. Inputs Section
The script allows for significant customization through its input options, which help traders adjust the detection and visualization of volume imbalances based on their individual preferences and trading style. Below are the details:
lookback (250 bars): This input specifies the number of bars (or candles) the script should look back when analyzing the volume imbalance. By setting this to 250, the user is looking at the last 250 bars on the chart to detect any significant volume imbalances. This period is adjustable between 50 to 500 bars.
volumeThreshold (1.0 multiplier): This input helps set the sensitivity for identifying volume imbalances. The script compares the volume of the current candle with the previous one, and if the current volume exceeds the previous volume by this threshold multiplier (in this case, 1.0 means at least equal to the previous volume), then it triggers an imbalance. Users can adjust the multiplier to suit different market conditions.
showBoxes (true/false): This toggle determines whether the boxes representing volume imbalances are drawn on the chart. When enabled, the script visually highlights the imbalances with colored boxes.
fillBaseColor (orange with 80% opacity): This is the color setting for the background of the imbalance boxes. A softer color (like orange with opacity) ensures the imbalance is highlighted without obscuring the price action.
borderColor (gray): The color of the border around the imbalance boxes. This adds a visual distinction to make the imbalance areas more visible.
borderWidth (1 pixel): This controls the width of the box's border to adjust how prominent it appears.
rightOffset (30 bars): This input controls how far the imbalance box extends to the right on the chart. It helps users anticipate the potential continuation of the imbalance beyond the current candle.
allowWickOverlap (true/false): This setting allows imbalances to be identified even if the wicks of the two consecutive candlesticks overlap. If set to false, only imbalances where the bodies of the candlesticks don’t overlap are considered.
showBrokenBoxes (true/false): If enabled, once a volume imbalance no longer holds true (i.e., the price breaks through the box), the box is marked as "broken." If disabled, the box is deleted when the imbalance condition no longer applies.
brokenBoxColor (red): This controls the color of the box when it is broken, which can be used as a visual cue that the imbalance was invalidated or no longer valid for analysis.
2. Volume Imbalance Function
This is the core function of the script, where the logic to detect bullish and bearish volume imbalances is implemented.
Bullish Imbalance Condition:
The first condition checks if the low of the current candle is greater than the high of the previous candle. This suggests that the market is moving upward with buying pressure.
The second condition checks whether the volume of the current candle is higher than the previous candle by the volumeThreshold multiplier. If both conditions are satisfied, a bullish imbalance is detected.
Bearish Imbalance Condition:
The first condition checks if the high of the current candle is lower than the low of the previous candle. This suggests downward price action with selling pressure.
The second condition checks whether the current volume exceeds the previous volume by the threshold
Allow Wick Overlap: If allowWickOverlap is set to true, the script will still detect imbalances if the wicks of the two candles overlap (common in volatile markets). If false, imbalances are only considered if the wicks do not overlap.
3. Box Creation and Management
When a volume imbalance is detected, the script creates a box on the chart:
The bullish imbalance box is drawn using the minimum of the open and close of the current bar as the top boundary and the maximum of the open and close of the previous bar as the bottom boundary.
Conversely, the bearish imbalance box is drawn in reverse, using the maximum of the current bar’s open and close as the top boundary and the minimum of the previous bar’s open and close as the bottom boundary.
Once the box is created, it is displayed on the chart with the specified background color, border color, and width.
4. Processing Existing Boxes
After detecting a new imbalance and drawing a box, the script checks whether the box should still remain on the chart:
If the price moves beyond the boundaries of the imbalance box, the box is marked as broken (if showBrokenBoxes is enabled), and its color is changed to red, signifying that the imbalance is no longer valid.
If the box remains intact (i.e., the price has not broken the defined boundaries), the script keeps the box extended to the right as the market continues to evolve.
5. Removing Outdated Boxes
Lastly, the script removes boxes that are older than the specified lookback period. For example, if a box was created 250 bars ago, it will be deleted after that period. This ensures the chart stays clean and only focuses on relevant imbalances.
Why This Script is Useful for Traders
This script is extremely valuable for traders, especially those following the ICT methodology, because it automates the process of detecting market inefficiencies or imbalances that might signal future price action. Here’s why it’s particularly useful:
Identifying Key Areas of Interest: Volume imbalances often point to areas where institutional or large-scale traders have entered the market. These areas could provide clues about the next significant move in the market.
Visualizing Market Structure: By automatically drawing boxes around volume imbalances, the script helps traders visually identify potential areas of support, resistance, or turning points, enabling them to make informed trading decisions.
Time Efficiency: Instead of manually analyzing each candlestick and volume spike, this script does the heavy lifting, saving traders valuable time and allowing them to focus on other aspects of their strategy.
Enhanced Trade Entries and Exits: By understanding where volume imbalances are occurring, traders can time their entries (buying during bullish imbalances and selling during bearish ones) and exits (as imbalances break) more effectively, thus improving their chances of success.
Conclusion
In summary, this script is a powerful tool for traders looking to implement volume imbalance strategies based on the ICT methodology. It automates the identification and visualization of significant imbalances in price and volume, offering traders a clear visual representation of potential market turning points. By customizing the settings, traders can tailor the script to their preferred timeframes and sensitivity, making it a flexible and effective tool for any trading strategy.
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Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading guides. Let’s grow and trade smarter together! 📈
AlgoCados x ICT ToolkitAlgoCados x ICT Toolkit is a TradingView tool designed to integrate ICT (Inner Circle Trader) Smart Money Concepts (SMC) into a structured trading framework.
It provides traders with institutional liquidity insights, precise price level tracking, and session-based analysis, making it an essential tool for intraday, swing, and position trading.
Optimized for Forex, Futures, and Crypto, this toolkit offers multi-timeframe liquidity tracking, killzone mapping, RTH analysis, standard deviation projections, and dynamic price level updates, ensuring traders stay aligned with institutional market behavior.
# Key Features
Multi-Timeframe Institutional Price Levels
The indicator provides a structured approach to analyzing liquidity and market structure across different time horizons, helping traders understand institutional order flow.
- Previous Day High/Low (PDH/PDL) – Tracks the Previous Day’s High/Low, crucial for intraday liquidity analysis.
- Previous Week High/Low (PWH/PWL) – Monitors the Previous Week’s High/Low, aiding in higher timeframe liquidity zone tracking.
- Previous Month High/Low (PMH/PML) – Highlights the Previous Month’s High/Low, critical for swing trading and long-term bias confirmation.
- True Day Open (TDO) – Marks the NY Midnight Opening Price, providing a reference point for intraday bias and liquidity movements.
- Automatic Level Cleanup – When enabled. pxHigh/pxLow levels gets automatically deleted when raided, keeping the chart clean and focused on valid liquidity zones.
- Monthly, Weekly, Daily Open Levels – Identifies HTF price action context, allowing traders to track institutional order flow and potential liquidity draws.
# Regular Trading Hours (RTH) High, Low & Mid-Equilibrium (EQ)
For futures traders, the toolkit accurately identifies RTH liquidity zones to align with institutional trading behavior.
- RTH High/Low (RTH H/L) – Defines the RTH Gap high and low dynamically, marking key liquidity levels.
- RTH Equilibrium (EQ) – Calculates the midpoint of the RTH range, acting as a mean reversion level where price often reacts.
# Killzones & Liquidity Mapping
The indicator provides a time-based liquidity structure that helps traders anticipate market movements during high-impact trading windows.
ICT Killzones (Visible on 30-minute timeframe or lower)
- Asia Killzone (Asia) – Tracks overnight liquidity accumulation.
- London Open Killzone (LOKZ) – Marks early European liquidity grabs.
- New York Killzone (NYKZ) – Captures US session volatility.
- New York PM Session (PMKZ) – Available only for futures markets, tracking late-day liquidity shifts.
Forex-Specific Killzones (Visible on 30-minute timeframe or lower)
- London Close Killzone (LCKZ) – Available only for Forex, marks the European end of Day liquidity Points of Interests (POI).
- Central Bank Dealers Range (CBDR) – Available only for Forex, providing a liquidity framework used by central banks.
- Flout (CBDR + Asian Range) – Available only for Forex, extending CBDR with Asian session liquidity behavior.
- Killzone History Option – When enabled, Killzones remain visible beyond the current day; otherwise, they reset daily.
- Customizable Killzone Boxes – Modify opacity, colors, and border styles for seamless integration into different trading styles.
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# Standard Deviation (STDV) Liquidity Projections
A statistical approach to forecasting price movements based on Standard Deviations of HOTD (High of the Day) and LOTD (Low of the Day).
- Asia, CBDR, and Flout STDV Calculations (Visible on 30-minute timeframe or lower) – Predicts liquidity grabs based on price expansion behavior.
- Customizable Display Modes – Choose between Compact (e.g., "+2.5") or Verbose (e.g., "Asia +2.5") labels.
- Real-Time STDV Updates – Projections dynamically adjust as new price data is formed, allowing traders to react to developing market conditions.
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# Daily Session Dividers
- Visualizes Trading Days (Visible on 1-hour timeframe or lower) – Helps segment the trading session for better structure analysis.
- Daily Divider History Option – When enabled, dividers remain visible beyond the current trading week; otherwise, they reset weekly.
# Customization & User Experience
- Flexible Label Options – Adjust label size, font type, and color for improved readability.
- Intraday-Optimized Data – Killzones (30m or lower), STDV (30m or lower), and Daily Dividers (1H or lower) ensure efficient use of chart space.
- Configurable Line Styles – Customize solid, dotted, or dashed styles for various levels, making charts aesthetically clean and data-rich.
# Usage & Configurations
The AlgoCados x ICT Toolkit is designed to seamlessly fit different trading methodologies.
Scalping & Intraday Trading
- Track PDH/PDL levels for liquidity sweeps and market reversals.
- Utilize Killzones & Session Open levels to identify high-probability entry zones.
- Analyze RTH High/Low & Mid-EQ for potential liquidity targets and reversals.
- Enable STDV projections for potential price expansion and reversals.
Swing & Position Trading
- Use PWH/PWL and PMH/PML levels to determine HTF liquidity shifts.
- Monitor RTH Gap, TDO, and session liquidity markers for trade confirmation.
- Combine HTF bias with LTF liquidity structures for optimized entries and exits.
# Inputs & Configuration Options
Customizable Parameters
- Offset Adjustment – Allows users to shift displayed data horizontally for better visibility.
- Killzone Box Styling – Customize colors, opacity, and border styles for session boxes.
- Session Dividers – Modify line styles and colors for better time segmentation.
- Killzone & Daily Divider History Toggle – Enables users to view past killzones and dividers instead of resetting them daily/weekly.
- Label Formatting – Toggle between Compact and Verbose display modes for streamlined analysis.
# Advanced Features
Real-Time Data Processing & Dynamic Object Management
- Auto Cleanup of pxLevels – Prevents clutter by removing invalidated levels upon liquidity raids.
- Session History Control – Users can toggle historical data for daily dividers and killzones to maintain a clean chart layout.
- Daily & Weekly Resets – Ensures accurate session tracking by resetting daily dividers at the start of each new trading week.
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# Example Use Cases
- Day Traders & Scalpers – Utilize Killzones, PDH/PDL, DO and TDO levels for precise liquidity-based trading opportunities.
- Swing Traders – Leverage HTF Open Levels, PWH/PWL liquidity mapping, and TDO for trend-based trade execution.
- Futures Traders – Optimize trading with RTH High/Low, Mid-EQ, and PMKZ for session liquidity tracking.
- Forex Traders – Use CBDR, Flout, and session liquidity mapping to align with institutional order flow.
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"By integrating institutional concepts, liquidity mapping, and smart money methodologies, the AlgoCados x ICT Toolkit empowers traders with a data-driven approach to market inefficiencies and liquidity pools."
# Disclaimer
This tool is designed to assist in trading decisions but should be used in conjunction with other analysis methods and proper risk management. Trading involves significant risk, and traders should ensure they understand market conditions before executing trades.
