First FVG📘 Indicator Description (English)
First FVG – NY Open is a TradingView indicator designed to automatically identify the first Fair Value Gap (FVG) that appears during the New York session, following the ICT (Inner Circle Trader) methodology.
It highlights institutional inefficiencies in price caused by imbalanced price action and helps traders spot high-probability entry zones, especially after the 9:30 AM EST (New York Open).
⚙️ How It Works
Session time: The indicator scans for FVGs starting at 9:32 AM (allowing 3 candles after the NY Open to form).
FVG Conditions:
Bullish FVG: When the high of 2 candles ago is lower than the low of the current candle and the middle candle is bullish.
Bearish FVG: When the low of 2 candles ago is higher than the high of the current candle and the middle candle is bearish.
Only the first FVG per session is drawn, as taught by ICT for setups like Judas Swing or NY Reversal models.
A colored box is drawn to represent the FVG zone.
A dotted horizontal line (CE) is drawn at the midpoint of the FVG box (Consequent Encroachment), a key level watched by smart money traders.
A dashed vertical line is drawn at 9:30 NY time to mark the open.
🧠 How to Use It
Wait for the NY Open (9:30 AM EST) – the indicator becomes active at 9:32 AM.
Watch for the first FVG box of the day. This is often a high-probability reaction zone.
Use the CE line (center of the FVG) as a reference for entries, rejections, or liquidity grabs.
Combine with market structure, PD Arrays, and liquidity concepts as taught by ICT for confluence.
The FVG box and CE line will extend forward for several candles for visual clarity.
🎛️ Customizable Settings
Session time (default: 09:32–16:00 NY)
FVG box color (up/down)
Text color
Max number of days to keep boxes on chart
Option to show or hide the 9:30 NY Open vertical line
Cari dalam skrip untuk "imbalance"
SMC Entry Signals MTF v2📘 User Guide for the SMC Entry Signals MTF v2 Indicator
🎯 Purpose of the Indicator
This indicator is designed to identify reversal entry points based on Smart Money Concepts (SMC) and candlestick confirmation. It’s especially useful for traders who use:
Imbalance zones, order blocks, breaker blocks
Liquidity grabs
Multi-timeframe confirmation (MTF)
📈 How to Use the Signals on the Chart
✅ LONG Signal (green triangle below the candle):
Conditions:
Price is in a discount zone (below the FIB 50% level)
A bullish engulfing candle appears
A bullish Order Block (OB) or Breaker Block is detected
There’s an upward imbalance
A bullish OB is confirmed on the higher timeframe
➡️ How to act:
Consider entering long on the current or next candle.
Place your stop-loss below the OB or the nearest swing low.
Take profit at the nearest liquidity zone or premium area (above FIB 50%).
🔻 SHORT Signal (red triangle above the candle):
Conditions:
Price is in a premium zone (above FIB 50%)
A bearish engulfing candle appears
A bearish OB or Breaker Block is detected
There’s a downward imbalance
A bearish OB is confirmed on the higher timeframe
➡️ How to act:
Consider short entry after the signal.
Place your stop-loss above the OB or swing high.
Target the discount zone or the next liquidity pocket.
⚙️ Recommended Settings by Trading Style
Trading Style Suggested Settings Notes
Intraday (1–15m) fibLookback = 20–50, obLookback = 5–10, htf_tf = 1H/4H Fast signals. Use Discount/Premium + Engulfing.
Swing/Position (1H–1D) fibLookback = 50–100, obLookback = 10–20, htf_tf = 1D/1W Higher trust in MTF confirmation. Ideal with fundamentals.
Scalping (1m) fibLookback = 10–20, obLookback = 3–5, htf_tf = 15m/1H Remove Breaker and MTF for quick reaction trades.
🧠 Best Practices for Traders
Trend Filtering:
Use EMAs or volume to confirm the current trend.
Take longs only in uptrends, shorts in downtrends.
Liquidity Zones:
Use this indicator after liquidity grabs.
OBs and Breakers often appear right after stop hunts.
Combine with Manual Zones:
This works best when paired with manually drawn OBs and key levels.
Backtest the Signals:
Use Bar Replay mode on TradingView to test past signals.
🧪 Example Trade Setup
Example on BTCUSDT 15m:
Price drops into the discount zone.
A green triangle appears (bullish engulfing + OB + imbalance + HTF OB).
You enter long, stop below the OB, target the premium zone.
🎯 This type of setup often gives a risk/reward ratio of 1:2 or better — profitable even with a 40% win rate.
⏰ Alerts & Automation
Enable alerts:
"SMC Long Entry" — fires when a long signal appears.
"SMC Short Entry" — fires when a short signal appears.
You can integrate this with bots via webhook, like:
TradingConnector, 3Commas, Alertatron, etc.
✅ What This Indicator Gives You
High-probability entries using SMC logic
Customizable filters for entry logic
Multi-timeframe confirmation for stronger setups
Suitable for both intraday and swing trading
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Custom V2 KillZone US / FVG / EMAThis indicator is designed for traders looking to analyze liquidity levels, opportunity zones, and the underlying trend across different trading sessions. Inspired by the ICT methodology, this tool combines analysis of Exponential Moving Averages (EMA), session management, and Fair Value Gap (FVG) detection to provide a structured and disciplined approach to trading effectively.
Indicator Features
Identifying the Underlying Trend with Two EMAs
The indicator uses two EMAs on different, customizable timeframes to define the underlying trend:
EMA1 (default set to a daily timeframe): Represents the primary underlying trend.
EMA2 (default set to a 4-hour timeframe): Helps identify secondary corrections or impulses within the main trend.
These two EMAs allow traders to stay aligned with the market trend by prioritizing trades in the direction of the moving averages. For example, if prices are above both EMAs, the trend is bullish, and long trades are favored.
Analysis of Market Sessions
The indicator divides the day into key trading sessions:
Asian Session
London Session
US Pre-Open Session
Liquidity Kill Session
US Kill Zone Session
Each session is represented by high and low zones as well as mid-lines, allowing traders to visualize liquidity levels reached during these periods. Tracking the price levels in different sessions helps determine whether liquidity levels have been "swept" (taken) or not, which is essential for ICT methodology.
Liquidity Signal ("OK" or "STOP")
A specific signal appears at the end of the "Liquidity Kill" session (just before the "US Kill Zone" session):
"OK" Signal: Indicates that liquidity conditions are favorable for trading the "US Kill Zone" session. This means that liquidity levels have been swept in previous sessions (Asian, London, US Pre-Open), and the market is ready for an opportunity.
"STOP" Signal: Indicates that it is not favorable to trade the "US Kill Zone" session, as certain liquidity conditions have not been met.
The "OK" or "STOP" signal is based on an analysis of the high and low levels from previous sessions, allowing traders to ensure that significant liquidity zones have been reached before considering positions in the "Kill Zone".
Detection of Fair Value Gaps (FVG) in the US Kill Zone Session
When an "OK" signal is displayed, the indicator identifies Fair Value Gaps (FVG) during the "US Kill Zone" session. These FVGs are areas where price may return to fill an "imbalance" in the market, making them potential entry points.
Bullish FVG: Detected when there is a bullish imbalance, providing a buying opportunity if conditions align with the underlying trend.
Bearish FVG: Detected when there is a bearish imbalance, providing a selling opportunity in the trend direction.
FVG detection aligns with the ICT Silver Bullet methodology, where these imbalance zones serve as probable entry points during the "US Kill Zone".
How to Use This Indicator
Check the Underlying Trend
Before trading, observe the two EMAs (daily and 4-hour) to understand the general market trend. Trades will be prioritized in the direction indicated by these EMAs.
Monitor Liquidity Signals After the Asian, London, and US Pre-Open Sessions
The high and low levels of each session help determine if liquidity has already been swept in these areas. At the end of the "Liquidity Kill" session, an "OK" or "STOP" label will appear:
"OK" means you can look for trading opportunities in the "US Kill Zone" session.
"STOP" means it is preferable not to take trades in the "US Kill Zone" session.
Look for Opportunities in the US Kill Zone if the Signal is "OK"
When the "OK" label is present, focus on the "US Kill Zone" session. Use the Fair Value Gaps (FVG) as potential entry points for trades based on the ICT methodology. The identified FVGs will appear as colored boxes (bullish or bearish) during this session.
Use ICT Methodology to Manage Your Trades
Follow the FVGs as potential reversal zones in the direction of the trend, and manage your positions according to your personal strategy and the rules of the ICT Silver Bullet method.
Customizable Settings
The indicator includes several customization options to suit the trader's preferences:
EMA: Length, source (close, open, etc.), and timeframe.
Market Sessions: Ability to enable or disable each session, with color and line width settings.
Liquidity Signals: Customization of colors for the "OK" and "STOP" labels.
FVG: Option to display FVGs or not, with customizable colors for bullish and bearish FVGs, and the number of bars for FVG extension.
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Cet indicateur est conçu pour les traders souhaitant analyser les niveaux de liquidité, les zones d’opportunité, et la tendance de fond à travers différentes sessions de trading. Inspiré de la méthodologie ICT, cet outil combine l'analyse des moyennes mobiles exponentielles (EMA), la gestion des sessions de marché, et la détection des Fair Value Gaps (FVG), afin de fournir une approche structurée et disciplinée pour trader efficacement.
FVG Alerts (Vortus)What are Fair Value Gaps (FVGs)?
Fair Value Gaps (FVGs) represent price inefficiencies where buying and selling volumes are imbalanced, creating gaps between the wicks of consecutive candles. These gaps often act as magnets for price, as markets tend to "fill" these gaps before resuming their trend.
FVGs can signal potential entry or exit points, making them a valuable tool for traders looking to exploit these price inefficiencies.
How to Use the Script to Add Alerts:
1. Add the Script to Your Chart:
Load the script into TradingView by pasting it into the Pine Script Editor, then apply it to your chart.
2. Adjust Your Settings:
In the "FVG Settings" section, decide whether you want gaps to be removed after their midpoint or full fill. You can also choose to identify gaps only after a candle has closed, adding a level of confirmation to your strategy.
Customize the colors for Bullish and Bearish FVGs under "Visual Settings" to match your chart's theme.
3. Set Up Your Alerts:
After adding the script to your chart, go to the "Alerts" section in TradingView.
Select either "Bullish FVG Filled" or "Bearish FVG Filled" from the "Condition" dropdown menu.
Configure the alert parameters such as frequency, expiration, and notification method according to your trading strategy.
4. Stay on Top of the Market:
Once set up, the script will automatically notify you when a Fair Value Gap is filled, keeping you informed of potential reversal or continuation opportunities without needing to constantly monitor the charts.
Feedback is Welcome
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Candle Wick Shadows [UkutaLabs]█ OVERVIEW
The Candle Wick Shadows Indicator identifies untested wicks in real time that occur when there is an imbalance in the number of buyers and sellers at a price-level. This imbalance occurs when a market exchange receives too many of one kind of order, and not enough of its counterpoint.
Candle Wick Shadows is a powerful trading indicator that will automatically identify and label strong ranges on traders’ charts that can be incorporated into a wide variety of different trading strategies.
█ USAGE
The script automatically identifies and measures real-time ranges of imbalance between buying and selling pressure in the market using real-time price-action information. These levels indicate potential Supply and Demand zones which serve to help the trader identify areas where price has changed direction in the past due to an imbalance of buyers and sellers.
The script also allows users to mirror higher time frame Candle Wick Shadows onto lower time frame charts to gain a stronger understanding of key levels on another scale.
█ SETTINGS
Configuration
- Show Labels: Determines whether or not identification labels are drawn on the chart.
- Max CWS Display: Determines the number of Candle Wick Shadows that will be drawn on the chart. This is for each higher timeframe option that is toggled, not the total.
Current Time Frame
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the current time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the current time frame.
- Bearish Color: Determines the color of bearish wick shadows from the current time frame.
5 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 5 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 5 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 5 minute time frame.
15 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 15 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 15 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 15 minute time frame.
30 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 30 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 30 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 30 minute time frame.
60 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 60 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 60 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 60 minute time frame.
240 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 240 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 240 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 240 minute time frame.
Daily (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the daily time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the daily time frame.
- Bearish Color: Determines the color of bearish wick shadows from the daily time frame.
Candle Wick Retest [UkutaLabs]█ OVERVIEW
The Candle Wick Retest Indicator identifies untested wicks in real time that occur when there is an imbalance in the number of buyers and sellers at a price-level. This imbalance occurs when a market exchange receives too many of one kind of order, and not enough of its counterpoint.
Candle Wick Retest is a powerful trading indicator that will automatically identify and label strong ranges on traders’ charts that can be incorporated into a wide variety of different trading strategies.
█ USAGE
The script automatically identifies and measures real-time ranges of imbalance between buying and selling pressure in the market using real-time price-action information. These levels indicate potential Supply and Demand zones which serve to help the trader identify areas where price has changed direction in the past due to an imbalance of buyers and sellers.
The script also allows users to mirror higher time frame Candle Wick Retests onto lower time frame charts to gain a stronger understanding of key levels on another scale.
█ SETTINGS
Configuration
- Show Labels: Determines whether or not identification labels are drawn on the chart.
- Max CW Display: Determines the number of Candle Wick Retests that will be drawn on the chart. This is for each higher timeframe option that is toggled, not the total.
Current Time Frame
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the current time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the current time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the current time frame.
5 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 5 minute chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 5 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 5 minute time frame.
15 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 15 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 15 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 15 minute time frame.
30 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 30 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 30 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 30 minute time frame.
60 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 60 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 60 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 60 minute time frame.
240 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 240 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 240 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 240 minute time frame.
Daily (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the daily time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the daily time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the daily time frame.
ICT HTF Candles [Source Code] (fadi)Plotting a configurable higher timeframe on current chart's timeframe helps visualize price movement without changing timeframes. It also plots FVG and Volume Imbalance on the higher timeframe for easier visualization.
With ICT concepts, we usually wait for HTF break of structure and then find an entry on a lower timeframe. With this indicator, we can set it to the HTF and watch the develop of price action until the break of structure happens. We can then take an entry on the current timeframe.
Settings
HTF Higher timeframe to plot
Number of candles to display The number of higher timeframe candles to display to the right of current price action
Body/Border/Wick The candle colors for the body, border, and wick
Padding from current candles The distance from current timeframe's candles
Space between candles Increase / decrease the candle spacing
Candle width The size of the candles
Imbalance
Fair Value Gap Show / Hide FVG on the higher timeframe
Volume Imbalance Show / Hide Volume Imbalance on the higher timeframe
Trace
Trace lines Extend the OHLC lines of the higher timeframe and the source of each
Label Show/Hide the price levels of the OHLC
Bar Magnified Volume Profile/Fixed Range [ChartPrime]This indicator draws a volume profile by utilizing data from the lower timeframe to get a more accurate representation of where volume occurred on a bar to bar basis. The indicator creates a price range, and then splits that price range into 100 grids by default. The indicator then drops down to the lower timeframe, approximately 16 times lower than the current timeframe being viewed on the chart, and then parses through all of the lower timeframe bars, and attributes the lower timeframe bar volume to all grids that it is touching. The volume is dispersed proportionally to the grids which it is touching by whatever percent of the candle is inside each grid. For example, if one of the lower timeframe bars is interacting with "2" of the grids in the profile, and 60% of the candle is inside of the top grid, 60% of the volume from said candle will be attributed to the grid.
To make all of this magic happen, this script utilizes a quadratic time complexity algorithm while parsing and attributing the volume to all of the grids. Due to this type of algorithm being used in the script, many of the user inputs have been limited to allow for simplicity, but also to prevent possible errors when executing loops. For the most part, all of the settings have been thoroughly tested and configured with the right amount of limitations to prevent these errors, but also still give the user a broad range of flexibility to adjust the script to their liking.
📗 SETTINGS
Lookback Period: The lookback period determines how many bars back the script will search for the "highest high" and the "lowest low" which will then be used to generate the grids in-between
Number Of Levels: This setting determines how many grids there will be within the volume profile/fixed range. This is personal preference, however it is capped at 100 to prevent time complexity issues
Profile Length: This setting allows you to stretch or thin the volume profile. A higher number will stretch it more, vise versa a smaller number will thin it further. This does not change the volume profiles results or values, only its visual appearance.
Profile Offset: This setting allows you to offset the profile to the left or right, in the event the user does not appreciate the positioning of the default location of the profile. A higher number will shift it to the right, vise versa a lower number will shift it to the left. This is personal preference and does not affect the results or values of the profile.
🧰 UTILITY
The volume profile/fixed range can be used in many ways. One of the most popular methods is to identify high volume areas on the chart to be used as trade entries or exits in the event of the price revisiting the high volume areas. Take this picture as an example. The image clearly demonstrates how the 2 highest areas of volume within this magnified volume profile also line up to great areas of support and resistance in the market.
Here are some other useful methods of using the volume profile/fixed range
Identify Key Support and Resistance Levels for Setups
Determine Logical Take Profits and Stop Losses
Calculate Initial R Multiplier
Identify Balanced vs Imbalanced Markets
Determine Strength of Trends
Continuous CVD with Enhanced FeaturesOverview
This indicator provides a high-precision Cumulative Volume Delta (CVD) experience, calculated by scanning lower timeframe (LTF) data for maximum accuracy. Unlike standard CVD tools, this script seamlessly integrates Candlestick, RSI, and MACD visualizations while featuring an advanced Dual Divergence Engine (Regular & Hidden) to spot market reversals and trend continuations in real-time.
Key Features
Continuous Accumulation: Tracks cumulative delta across bars with precise Open, High, Low, and Close mapping.
Three Visualization Modes:
Candle Mode: View CVD as a price action chart to spot supply/demand imbalances.
RSI Mode: Identify overbought/oversold conditions in volume flow.
MACD Mode: Track volume momentum and trend shifts.
Advanced Divergence Engine (Candle Mode):
Single Candle Divergence: Different color for divergent candles.
Regular Divergence (Solid Line): Spots potential trend reversals (Price makes a new peak, but CVD fails to follow).
Hidden Divergence (Dashed Line): Spots trend continuation (CVD makes a deep retracement while Price stays resilient).
Optimized Performance: Fully customizable Pivot settings (Lookleft/Lookright) to balance between signal speed and reliability.Add some functions to original CVD
Institutional Structure [Clean Pro]Institutional Structure — Script Explanation
This script is designed to map institutional market behavior using high-timeframe structure, not retail noise.
It focuses on where smart money acts, not on frequent signals.
🔹 1. High-Timeframe Support & Resistance (HTF S/R)
The script identifies major structural highs and lows using a higher lookback period.
Purpose:
Defines where institutions previously distributed or accumulated
Acts as natural decision zones
Filters out low-quality intraday levels
Why it matters:
Institutions trade from key HTF levels, not random support/resistance.
🔹 2. Equilibrium (50% Mean Price)
The equilibrium line represents the fair price between HTF high and low.
How it’s used:
Below equilibrium → discount zone (buy interest)
Above equilibrium → premium zone (sell interest)
Professional insight:
Smart money prefers buying discounts and selling premiums, not chasing price.
🔹 3. Market Structure Shift (MSS)
Instead of frequent BOS labels, the script detects true directional shifts.
Bullish MSS:
Price closes above previous HTF high
Bearish MSS:
Price closes below previous HTF low
Why MSS over BOS:
MSS confirms control change
Reduces false signals
Aligns with institutional execution logic
🔹 4. Liquidity Sweep Detection (Wick-Based)
The script identifies stop-hunt behavior using wick rejection logic.
Buy-side liquidity:
Wick above HTF high, but close back below
Sell-side liquidity:
Wick below HTF low, but close back above
Meaning:
Stops were triggered, but price failed to accept → smart money absorption
🔹 5. Fair Value Gap (FVG) – Refined Imbalance
Fair Value Gaps highlight inefficient price movement.
Bullish FVG:
Price leaves an upside imbalance
Bearish FVG:
Price leaves a downside imbalance
How pros use it:
As reaction zones, not entry signals
Best combined with liquidity + MSS
🔍 How Everything Works Together
The script is context-based, not signal-based:
1️⃣ HTF structure defines the battlefield
2️⃣ Liquidity is taken (stop hunts)
3️⃣ MSS confirms direction
4️⃣ FVG offers precision
5️⃣ Equilibrium filters bias
This creates high-probability trade environments, not overtrading.
📌 Best Practices (Professional Use)
Timeframes: 1H / 4H / Daily
Avoid lower TF noise
Trade only after liquidity is taken
Use FVG as confirmation, not trigger
Respect equilibrium bias
🎯 Summary
✔ Clean institutional logic
✔ No clutter, no spam
✔ HTF-driven decisions
✔ Liquidity-first mindset
✔ Designed for BTC, Gold & FX
🧠 Trade where institutions trade — not where indicators flash.
Blockcircle Price Gaps (PG)I got tired of price gap indicators that dump every zone on the chart and leave you to figure out which ones actually matter. I have tried every single one imaginable. Therefore, I built this one to score each gap automatically based on how close it is, how it formed, and whether it aligns with the trend. Instead of cryptic numbers, it just tells you: Strong, Moderate, or Weak, plus how far away it is. You see what matters, skip what doesn't. Hopefully, you find it helpful!
If you have other ideas to improve it even further, please let me know, and I can integrate them.
WHAT MAKES IT ORIGINAL AND DIFFERENT
Standard gap indicators display every detected imbalance with identical visual treatment, leaving traders to manually assess which zones matter. This creates cluttered charts and analysis paralysis.
This BLOCKCIRCLE PRICE GAPS (PG) indicator solves that problem with a Relevance Engine that automatically scores each gap from 0 to 100 and translates scores into plain language: Strong, Moderate, or Weak. Each zone displays its strength rating and distance from the current price, so you instantly know which gaps deserve attention and how far the price must travel to reach them.
The scoring combines four factors that research shows correlate with zone effectiveness:
Proximity: Gaps closer to the current price score higher because nearby zones influence immediate price action more than distant ones.
Formation Volume: Gaps created during above-average volume suggest institutional activity rather than random price movement.
Impulse Strength: Gaps formed by strong moves (measured against ATR) indicate genuine supply/demand imbalance rather than noise.
Trend Alignment: Support gaps in uptrends and resistance gaps in downtrends receive bonus points for trading with momentum.
Visual intensity reflects strength automatically. Strong zones appear darker and more prominent. Weak zones fade into the background. You see what matters without decoding numbers.
HOW IT WORKS
Price Gaps form when aggressive buying or selling creates an imbalance, leaving unfilled space between candles. These zones often act as support (bullish gaps below price) or resistance (bearish gaps above price) when the price returns to them.
Detection uses the standard three-candle method: a bullish gap exists when the current low exceeds the high from two bars prior. A bearish gap exists when the current high falls below the low from two bars prior.
What makes this implementation different is continuous relevance tracking . Each bar, every gap receives an updated score based on current conditions . As the price moves away, the proximity scores decrease. As gaps age, time decay gradually reduces their overall relevance. When capacity limits are reached, the lowest-scoring gap is removed first, ensuring your chart always shows the most actionable zones.
Labels show practical information:
Strength rating (Strong, Moderate, or Weak)
Zone type (Support or Resistance)
Distance from current price with direction (+12% means above, -8% means below)
FEATURES
Relevance scoring with automatic strength classification
Plain-language labels showing strength and distance
Color intensity that reflects zone importance
Retest detection when price returns to unfilled gaps
Proximity filtering to hide distant zones
Age filtering to remove stale gaps
Size filtering for minimum and maximum gap thresholds
Relevance-based capacity management
Information panel with zone counts and trend context
Multiple label style options
HOW THE COMPONENTS WORK TOGETHER
The system operates as a filtering pipeline:
Size filters remove gaps that are too small (market noise) or too large (extreme events unlikely to fill).
The Relevance Engine scores qualifying gaps based on proximity, volume, impulse, and trend.
Gaps below the minimum score threshold are hidden.
Proximity and age filters remove distant or stale gaps.
When at capacity, the lowest-scoring gap is removed to make room for new detections.
This layered approach ensures only the most relevant gaps appear on your chart.
CONFIGURABLE SETTINGS
Display Settings control how many zones appear and how they are displayed.
Label Style lets you choose what information displays: Strength plus Distance (default), Strength Only, Distance Only, Score Only, or None.
Relevance Engine settings include the master toggle and minimum score threshold. The Scoring Weights section allows advanced users to adjust how much each factor contributes.
Filters control size thresholds, maximum distance from price, and maximum age in bars.
Retest Alerts notify you when the price returns to an unfilled gap with three sensitivity options.
Zone Behavior controls whether filled gaps are removed and what counts as a filled gap.
HOW TO USE
The default settings work well for most timeframes and markets. Strong zones (shown in brighter colors with yellow text) have multiple factors aligned and deserve the most attention. Moderate zones are worth watching. Weak zones provide context but may not produce reliable reactions.
For active trading, focus on Strong and Moderate zones within 10% of the current price. These are the most likely to influence near-term price action.
For swing trading, expand the Maximum Distance setting to see zones further from the price that may become relevant as trends develop.
When the Retest alert fires, the price is returning to an unfilled gap. Evaluate the zone strength, look for price reaction at the zone boundary, and consider whether the move aligns with the broader trend before trading.
The information panel shows:
Support: Count of bullish gaps (potential buying zones)
Resistance: Count of bearish gaps (potential selling zones)
Unfilled: Zones not yet touched by price
Avg Strength: Overall quality of visible zones
Trend: Current direction based on EMA alignment
LIMITATIONS
Relevance scoring is probabilistic, not predictive. A Strong gap is more likely to produce a reaction based on historical patterns, but any zone can fail.
The trend component uses EMA crossovers (20/50/200), which may lag in choppy markets.
Distance calculations update each bar. During volatile moves, labels may briefly show different values as price swings.
DEFAULTS
These are the defaults, but you would adjust and calibrate it to a specific asset, as needed:
Maximum Zones: 12
Label Style: Strength + Distance
Minimum Score: 20
Maximum Distance: 25%
Maximum Age: 300 bars
If you have any questions at all, please ask away!
Finger Print.Finger Print.
Isolates and Accumulates the "True" components of each candle:
- True Upper Wick (buying pressure beyond the body)
- True Body (conviction from open to close)
- True Lower Wick (selling pressure beyond the body).
By measuring each non-overlapping extension (true wicks) and the directional body separately, the indicator reveals building Pressure (wick accumulation) versus actual Conviction (body momentum) over a user-defined sum of bars.
Three cumulative lines track these Raw forces, while three Smoothing agents highlight sustained momentum and trend strength.
Dual Background Flashes highlight Historical extremes measured as Percentile given the Lookback period. Source any Component / Smoother line from Zero % Line, or Wick-to-Wick / Smoother-to-Smoother Spread – flagging unusually wide/tight conviction gaps or pressure imbalances.
The result is a clean, pressure-focused oscillator that separates noise from genuine directional force, helping traders spot Accumulation , Exhaustion , or Hidden Strength before price confirms it.
Advanced Concept V4 Change your trading time zone to New York . To maximize readiness for institutional trading setups based on the prescribed models, traders should set alarms for specific times in the New York Time Zone (EST/EDT), which is generally 10.5 hours behind IST.
Asian Stop Hunt Model
The Stop Hunt Model is a liquidity-based strategy designed to exploit market stop-loss sweeps by aligning with the IPDA daily bias. The core idea is to wait for price to sweep the engineered liquidity of the Asian Session High or Low (after 10:30 AM IST). Once the sweep occurs, the trader confirms the market's true direction via a Change of Character (CHoCH) on the lower timeframe. The entry is then taken only on a retest of the resulting price inefficiency, specifically a Balanced Price Range (BPR) or imbalance, which represents the institutional entry point. By targeting the next major liquidity pool with a minimum 1:3 risk-to-reward ratio, the model prioritizes discipline and quality over frequent trading.
The New York Open Model
The New York Open Model is an index-focused strategy (SPX500, NAS100, US30) that trades solely during the New York Session (9:30 AM – 12:30 PM NYT). It establishes a Range Zone high and low from midnight until the open, treating these boundaries as institutional liquidity targets. Execution is triggered by a mandatory liquidity sweep of one side of this range, followed by a confirming Change of Character (CHoCH) on the 1-minute chart. Entry is taken precisely on the retest of a resulting price inefficiency (like an FVG), aiming for the opposite side of the session range, prioritizing simplicity, timing, and controlled risk over external biases like IPDA.
The ATM Strategy
The ATM Strategy is a high-precision, New York-session trading model designed to capture institutional liquidity moves using the IPDA directional bias. The strategy operates by first defining a Range Zone (00:00 to 8:30 AM NY time) where high and low boundaries act as liquidity targets. Execution is restricted to the Trading Zone (8:30AM to 12:30 PM NY time) and is only triggered when price executes a mandatory liquidity sweep of one range boundary that aligns with the IPDA bias. This sweep must then be confirmed on the 1-minute chart by a Change of Character (CHoCH). Final entry is taken on the retest of a resulting price inefficiency (like an FVG or BPR), with targets set at session highs or lows, ensuring institutional-style execution with high clarity and discipline.
The Central Bank Dealer Range (CBDR)
The Central Bank Dealer Range (CBDR) model is a disciplined, institutional trading strategy used on the 15-minute chart, primarily focusing on London Session liquidity for major currency pairs. The core idea is to align with Interbank Price Delivery Algorithm (IPDA) bias, which dictates a mandatory liquidity sweep (a false breakout of the previous day's high or low) must occur first. Following this sweep, a visible price imbalance (Fair Value Gap) must form within the London Session. Entry is strictly taken only on the retest of this imbalance zone, confirming institutional order flow, with a fixed target at the opposite boundary of the previous day's range.
Supply & Demand (10-MTF) | StableThe Supply & Demand (10-MTF) indicator is a sophisticated technical analysis tool designed to identify high-probability institutional "buy" and "sell" zones across ten different timeframes simultaneously.
Core Functionality
The indicator works by scanning for displacement—sharp, aggressive price movements that leave behind "unfilled orders."
Zone Identification: It identifies a "Base" (the candle before the move) and a "Leg-out" (the momentum candles). If the leg-out meets your momentum strength requirements, a zone is drawn.
Multi-Timeframe Aggregation: Instead of switching between charts, a trader can see 1H Supply, 4H Demand, and Daily Supply zones all layered on a 5-minute chart.
Real-Time Invalidation: The indicator tracks whether price has "mitigated" (broken) a zone. Once a zone is breached by a wick or a close (depending on your settings), it can be hidden or marked as historic.
Why It’s Useful for Traders
1. Confluence Mapping (The "Nest" Strategy)
The most powerful use of this tool is finding Nested Zones. When a 15-minute Demand zone resides inside a 4-hour Demand zone, the probability of a reversal is significantly higher. This indicator makes these high-confluence areas visually obvious.
2. Institutional Footprint Tracking
Institutions do not buy or sell everything at once; they leave footprints in the form of supply and demand imbalances. This tool helps retail traders avoid "buying the top" or "selling the bottom" by showing where the big money actually entered the market.
3. Dynamic Stop Loss & Take Profit
Stop Loss: Traders can place stops just outside the structural boundary of a zone.
Take Profit: Traders can use the opposing HTF (Higher Timeframe) supply zone as a natural target for a long trade.
4. Time Efficiency
Managing 10 timeframes manually is mentally exhausting. This indicator automates the "top-down analysis" process, allowing you to focus on execution rather than chart flipping.
VSA ProDescription
VSA (Volume Spread Analysis) implements Richard Wyckoff's methodology for reading market manipulation through the relationship between volume, price spread (range), and close position within the bar. Detects climactic action, professional accumulation/distribution, and supply/demand imbalances.
Neosha Concept V4 (NY Time)
Imagine the financial market as a huge ocean. Millions of traders throw orders into it every second. But beneath all the noise, there is a powerful current that quietly controls where the waves move. That current is not a person, not a trader, and not random—it is an algorithm.
This algorithm is called the Interbank Price Delivery Algorithm (IPDA).
Think of it as the “navigation system” that guides price through the market.
IPDA has one job:
to move prices in a way that keeps the market efficient and liquid.
To do this, it constantly looks for two things:
1. Where liquidity is hiding
Liquidity is usually found above highs and below lows—where traders place stop losses. The algorithm moves price there first to collect that liquidity.
2. Where price became unbalanced
Sometimes price moves too fast and creates gaps or imbalances. IPDA returns to those areas later to “fix” the missing orders.
Once you start looking at the charts with this idea in mind, everything makes more sense:
Why price suddenly spikes above a high and crashes down
Why big moves leave gaps that price later fills
Why the market reverses right after taking stops
Why trends begin only after certain levels are hit
These are not accidents.
They are the algorithm doing its job.
Price moves in a repeating cycle:
Gather liquidity
Make a strong move (displacement)
Return to fix inefficiency
Deliver to the next target
Most beginners only see the candles.
But once you understand IPDA, you see the intention behind the candles.
Instead of guessing where price might go, you begin to understand why it moves there.
And once you understand the “why,” your trading becomes clearer, calmer, and far more accurate.
Liquidity Entry Triggers (4-Model System) | WarRoomXYZLiquidity Entry Triggers is an open-source, price-action-based analytical framework designed to highlight recurring institutional liquidity behaviors that appear across all liquid markets.
The script focuses on how and where liquidity is taken, rather than attempting to predict direction using oscillators or lagging indicators.
It is optimized for XAUUSD, FX pairs, indices, and crypto , particularly on 1m–15m timeframes where session behavior and liquidity reactions are most visible.
This tool is not a buy/sell signal generator .
It provides contextual entry zones based on structural liquidity logic, allowing traders to apply their own execution rules.
Core Philosophy
Markets move because of:
•Trapped traders
•Forced liquidations
•Session-based liquidity cycles
•Reactions at prior institutional participation zones
This script visualizes four repeatable entry triggers that emerge from those mechanisms.
🔹 1. Failed Breakout / Trapped Trader Model
When price breaks a clearly defined range high or low, breakout traders often enter expecting continuation.
If price fails to hold outside the range and closes back inside, those traders become trapped.
The script detects:
•Breaks beyond recent highs/lows
•Immediate rejection back into the range
•Structural failure of momentum
These conditions frequently lead to mean reversion or reversal moves as trapped traders exit and fuel movement in the opposite direction.
Markers are plotted at the point of failure to highlight potential trap zones.
🔹 2. Liquidation Flush Detection
Sharp impulsive candles with abnormally large wicks often represent liquidation cascades rather than healthy trend continuation.
The script identifies liquidation behavior by measuring:
•Wick-to-body imbalance
•Sudden expansion followed by rejection
•Temporary price inefficiencies
These flushes commonly occur near:
•Session highs/lows
•Range extremes
•Trend exhaustion points
Such events often lead to rebalance moves , where price partially or fully fills the wick.
🔹 3. Orderblock Reaction Zones
Orderblocks represent areas where heavy participation occurred before a strong displacement move.
The script highlights:
•Clean bullish and bearish orderblock structures
•Zones formed during consolidation prior to expansion
•Areas likely to be defended when revisited
Orderblocks with minimal noise and clean departure are prioritized, as they often reflect institutional positioning rather than retail activity.
These zones are intended as reaction areas , not automatic entry signals.
🔹 4. London Session Liquidity Sweep Model
The London session frequently establishes the initial daily high or low.
Later in the session or during New York, price often:
•Sweeps internal liquidity around that level
•Rejects after the sweep
•Continues with the higher-timeframe bias
The script monitors London session behavior and marks:
•Liquidity runs above/below London highs and lows
•Rejections back inside the prior structure
This model is especially effective when combined with broader daily context.
🔹4. How the Components Work Together
The framework is designed as a context stack , not a checklist of signals:
Liquidity Event → Location → Timing → Trader Execution
Each model reinforces the others:
•Failed breakouts often occur after liquidity sweeps
•Liquidation wicks frequently form near orderblocks
•London sweeps often trigger failed momentum moves
•Confluence increases probability, not certainty
🔹 Practical Usage Guide
✔ Identify context
Determine whether price is approaching a range extreme, session level, or prior participation zone.
✔ Wait for a liquidity event
Look for a sweep, failed breakout, or liquidation wick.
✔ Observe reaction
Rejection, displacement, or reclaim behavior provides confirmation.
✔ Execute manually
Stops are commonly placed beyond the liquidity extreme.
Targets are typically internal liquidity, prior highs/lows, or imbalance zones.
The indicator does not manage trades or enforce rules.
Execution and risk management remain the trader’s responsibility.
🔹 5. Originality & Design Notes
This script does not replicate or bundle existing indicators.
It introduces:
•A multi-model liquidity entry framework
•Structural failed breakout detection
•Wick-based liquidation imbalance logic
•Session-aware liquidity sweep visualization
•A unified, minimal, non-lagging design
All concepts are based on observable market behavior and integrated into a single analytical tool.
🔹 6. Suitable Markets & Timeframes
Works best on:
•XAUUSD
•Major FX pairs
•Indices
•Liquid crypto markets
Recommended timeframes:
•1m
•5m
•15m
•30m
🔹7. Limitations & Notes
•This is an analytical framework , not a trading system
•All markings are confirmed at candle close (non-repainting)
•No open interest or order flow data is used
•Results depend on user interpretation and execution
•Best used alongside session bias and higher-timeframe structure
Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, or a recommendation to buy or sell any instrument.
Trading involves risk, and losses can exceed initial deposits.
The author assumes no responsibility for trading decisions made using this tool.
Users are strongly encouraged to test this script in demo or simulation environments and to apply proper risk management, position sizing, and personal discretion at all times.
By using this script, you acknowledge and accept all associated risks.
TCT OBIF Detector█ OVERVIEW
The OBIF (Order Block Imbalance Fill) indicator automatically detects and visualizes high-probability trading zones by combining two powerful Smart Money Concepts: Order Blocks and Fair Value Gaps (FVGs).
An OBIF occurs when an Order Block forms immediately before a Fair Value Gap, creating a zone of institutional interest that price often revisits before continuing its move.
█ CONCEPTS
Order Block (OB)
An Order Block is the last opposing candle before a strong directional move. It represents an area where institutional traders likely placed orders.
- Bullish OB: Last bearish candle before an up-move
- Bearish OB: Last bullish candle before a down-move
Fair Value Gap (FVG)
An FVG is a price imbalance created when a candle's body completely gaps past the previous candle's range, leaving an unfilled area.
- Bullish FVG: Gap up where candle .low > candle .high
- Bearish FVG: Gap down where candle .high < candle .low
OBIF Zone
When an Order Block directly precedes an FVG, it creates an OBIF - a confluence zone with higher probability of acting as support/resistance.
█ HOW TO USE
1. Identify the Trend
Use OBIFs in the direction of the higher timeframe trend for best results.
2. Wait for Price to Return
OBIFs act as magnets - price often returns to fill the imbalance and test the order block.
3. Look for Confirmation
When price enters an OBIF zone, look for:
- Rejection wicks
- Engulfing patterns
- Break of structure on lower timeframes
4. Mitigation
Once price fully trades through the OBIF (touches the opposite edge), the zone is considered mitigated and loses its significance.
█ FEATURES
- Automatic Detection — Identifies OBIFs in real-time as they form
- Visual Zones — Clean, non-intrusive boxes that don't obscure price action
- Mitigation Tracking — Zones automatically update when price mitigates them
- Multi-Timeframe Friendly — Works on any timeframe from 1m to Monthly
- Customizable — Adjust colors, opacity, and display preferences
█ SETTINGS
- Lookback Window — How many candles back to search for the Order Block (default: 3)
- Show Bullish/Bearish — Toggle visibility of each type
- Show Mitigated — Display zones that have been mitigated (shown in gray)
- Fill Opacity — Adjust zone transparency (higher = more see-through)
- Border Width — Thickness of zone borders
█ BEST PRACTICES
✓ Use on higher timeframes (1H+) for more reliable zones
✓ Combine with market structure analysis
✓ Look for OBIFs at key support/resistance levels
✓ Use lower timeframe confirmation for entries
✗ Don't trade every OBIF blindly
✗ Avoid OBIFs against the dominant trend
█ CREDITS
The Composite Trader (TCT) methodologies.
Session Markers - JDK AnalysisSession Markers is a tool designed to study how markets behave during specific, recurring time windows. Many traders know that price behaves differently depending on the day of the week, the time of the day, or particular market sessions such as the weekly open, the London session, or the New York open. This indicator makes those recurring windows visible on the chart and then analyzes what price typically does inside them. The result is a clear statistical understanding of how a chosen session behaves, both in direction and in strength.
The script works by allowing the trader to define any time window using a start day and time and an end day and time. Every time this window occurs on the chart, the indicator highlights it with a full-height vertical band. These visual markers reveal patterns that are otherwise difficult to detect manually, such as whether certain sessions tend to trend, reverse, consolidate, or create large imbalances. They also help the trader quickly scan through historical price action to see how the market has behaved under similar conditions.
For every completed session window, the indicator measures how much price changed from the moment the window began to the moment it ended. Instead of using raw price differences, it converts these changes into percentage moves. This makes the measurement consistent across different price ranges and market regimes. A one-percent move always has the same meaning, whether the asset is trading at 100 or 50,000. These percentage moves are collected for a user-selected number of past sessions, creating a dataset of how the market has behaved in the chosen time window.
Based on this dataset, the indicator generates several statistics. It counts how many past sessions closed higher and how many closed lower, producing a directional tendency. It also computes the probability of an upward session by dividing the number of positive sessions by the total. More importantly, it calculates the average percentage movement for all sessions in the lookback period. This average move reflects not just the direction but also the magnitude of price changes. A session with frequent small upward moves but occasional large downward moves will show a negative average movement, even if more sessions ended positive. This creates a more realistic representation of true market behavior.
Using this average movement, the script determines a “Bias” for the session. If the average percentage move is positive, the bias is considered bullish. If it is negative, the bias is bearish. If the values are very close to zero, the bias is neutral. This way, the indicator takes both frequency and impact into account, producing a magnitude-aware assessment instead of one that only counts wins and losses. A sequence such as +5%, –1% results in a bullish bias because the overall impact is strongly positive. On the other hand, a series of small gains followed by a large drop produces a bearish bias even if more sessions ended positive, because the large move dominates the average. This provides a far more truthful picture of what the market tends to do during the chosen window.
All relevant statistics are displayed neatly in a small panel in the top-right corner of the chart. The panel updates in real time as new sessions complete and older ones fall out of the lookback range. It shows how many sessions were analyzed, how many ended up or down, the probability of an upward move, the average percentage change, and the final bias. The background color of the panel instantly reflects that bias, making it easy to interpret at a glance.
To use the tool effectively, the trader simply needs to define a time window of interest. This could be something like the weekly opening window from Sunday to Monday, the London open each day, or even a unique custom window. After selecting how many past sessions to analyze, the indicator takes care of the rest. The vertical session markers reveal the structure visually. The statistics summarize the historical behavior objectively. The magnitude-weighted bias provides a realistic indication of whether the window tends to produce upward or downward movement on average.
Session Markers is helpful because it translates repeated market timing behavior into measurable data. It exposes hidden tendencies that are easy to feel intuitively but hard to quantify manually. By analyzing both direction and magnitude, it prevents misleading interpretations that can arise from looking only at win rates. It helps traders understand whether a session typically produces meaningful moves or just small noise, whether it tends to trend or reverse, and whether its behavior has recently changed. Whether used for bias building, session filtering, or deeper market research, it offers a structured framework for understanding the market through time-based patterns.
Psychological Price Level GBPJPY (.250 / .750)This indicator is designed for GBPJPY traders who work with precision and smart-money-based analysis. It automatically plots psychological price levels at .250 and .750, which are known institutional reference points that often influence market structure, price reactions, and liquidity behavior. Unlike typical round-number indicators, this tool focuses specifically on quarter levels, which are frequently used by algorithms, banks, and experienced institutional traders.
Fixed and Reliable Levels
As price evolves, the levels update automatically and remain fixed on the chart without shifting when you scroll. This ensures that the levels always stay anchored to relevant market structure, making them reliable reference points for planning entries, targets, or stop placements.
Customization
The indicator allows full customization. You can freely adjust the line color, line thickness, and line style to match your personal trading chart layout. You can also choose whether lines extend left, right, or both directions, making the tool flexible enough to fit minimalist or highly marked-up workspaces.
Why These Levels Matter
In smart money trading approaches, the .250 and .750 levels often act as magnetic zones. Price frequently gravitates toward them to test liquidity or engineer traps before continuing its move. These levels may serve as rejection points, breakout confirmation zones, or take-profit areas depending on the broader context. Because they frequently align with order blocks, fair value gaps, and market structure shifts, they can add meaningful confluence to directional bias and trade timing.
Who Can Benefit
This tool is particularly useful for scalpers, day traders, and swing traders who base decisions on liquidity behavior and institutional logic. It works well on any timeframe and complements concepts such as premium and discount models, inefficiencies, fair value gaps, and volume imbalances. Many traders find that these price levels help them identify reactions earlier, refine entries, and improve confidence when executing trades.
Final Note
If this indicator supports your trading workflow, feel free to leave a comment or mark it as a favorite + give it a BOOST . Your feedback helps guide future improvements and ensures the tool continues evolving for serious GBPJPY traders.
Happy trading — and stay precise. 🚀📊
8FigRenko – Precision FVG Zones8FigRenko – Pure FVG Zones is a clean, reliable Fair Value Gap tool designed for traders who want accurate FVG zones only from the chart timeframe — without repainting, without higher-timeframe complications, and without messy borders.
This script is built for traders who want simple, precise, and visually clean imbalance zones that work the way FVGs should work:
🔥 Features
✔ Chart-timeframe FVGs only
No request.security, no multi-TF artifacts, no lagging or repainting.
The script reads exactly what your chart shows and never mixes timeframes.
✔ Wick-based or Body-based detection
Use classic ICT wick gaps, or switch to body-only gaps with one click.
✔ Minimum FVG size (points)
Filters out noise by requiring a minimum point distance (default: 5 points).
Great for futures and fast intraday charts.
✔ Clean, seamless boxes (no borders)
The FVG zones are rendered with borderless boxes, matching the modern style shown in institutional imbalance tools.
✔ Proper “end-to-end” FVG drawing
Each gap box starts from the origin of the imbalance and extends forward automatically.
✔ Auto-disrespect removal
FVGs are automatically deleted when price invalidates the zone:
Bullish FVG removed if close < FVG low
Bearish FVG removed if close > FVG high
No clutter. No manual cleanup.
✔ Extend zones forever or to the current bar
Choose if your FVGs run across the full future chart or just up to the latest candle.
✔ Optional: show only most recent FVG
Great for scalping or IFV (Immediate Fair Value) strategies.
