Smart Gap Projection MTF Smart Gap Projection MTF
## Brief Description
Professional indicator for projecting US Dollar Index (DXY) gaps onto the traded instrument with multi-timeframe analysis support and advanced visualization.
---
## Originality and Uniqueness
**Smart Gap Projection MTF** is a unique development that solves the specific task of correlation analysis between the Dollar Index (DXY) and currency pairs, cryptocurrencies, or other dollar-dependent assets.
### What makes this indicator original:
1. **Inter-market gap projection** - the indicator doesn't just display gaps on the current instrument, but projects gaps from the DXY index onto your asset's chart, creating unique trading levels
2. **Dual confirmation system** - uses a mechanism of waiting N candles after a gap appears on DXY to filter false signals
3. **Intelligent lifecycle tracking** - each projected level is tracked until price touch or gap closure on DXY, with automatic visualization changes
4. **Multi-Timeframe extension** - ability to simultaneously display gaps from a lower timeframe of the current instrument to identify intraday opportunities
5. **Adaptive visualization (Heatmap)** - line intensity and width automatically change depending on gap size, helping to visually identify the most significant levels
---
## How the Indicator Works
### Core Operating Principle
The indicator analyzes the US Dollar Index (DXY) price movement in real-time and identifies gaps (price breaks) between candle closes and opens. When a gap forms on DXY, the indicator:
1. **Determines gap type** - bullish (price opened above previous close) or bearish (price opened below)
2. **Checks gap size** - filters insignificant gaps by absolute size (in points) and percentage value
3. **Waits for confirmation** - after detecting a gap, the indicator waits for a specified number of candles (default 3) to confirm that the gap didn't close immediately
4. **Projects the level** - after confirmation, a horizontal line is drawn on the current instrument's chart at the High level (for bullish DXY gap) or Low level (for bearish DXY gap) of the candle where the gap formed
5. **Tracks status** - the indicator continuously monitors:
- Price touching the projected level (line becomes more transparent)
- Gap closure on DXY itself (line changes color to orange)
### Conceptual Foundation
The methodology is based on the observation that:
- Gaps on the Dollar Index often lead to synchronous movements on correlated assets
- Price levels at the moment of DXY gap formation become price magnets
- Gap closure on DXY often coincides with trend reversal on dependent instruments
---
## How to Use the Indicator
### Basic Setup
1. **Add the indicator to the chart** of any asset correlated with the dollar (EUR/USD, GBP/USD, Bitcoin, Gold, etc.)
2. **Configure main parameters:**
- `DXY Symbol` - leave as "TVC:DXY" (standard Dollar Index ticker)
- `Minimum gap size` - minimum gap size in points (0.0001-0.001 for DXY)
- `Confirmation candles` - number of confirmation candles (recommended 3-5)
3. **Set up visualization:**
- Choose colors for bullish and bearish gaps
- Set desired transparency for each gap type
- Enable/disable `Use heatmap` for adaptive visualization
### Timeframe Recommendations
- **Scalping (M1-M5):** use MTF gaps from M1 timeframe, confirmationCandles = 2-3
- **Intraday (M15-H1):** standard settings, can add MTF M5-M15
- **Swing trading (H4-D1):** increase confirmationCandles to 5-10, MTF H1-H4
### Use with Other Instruments
The indicator is universal and works on:
- **Forex:** EUR/USD, GBP/USD, USD/JPY, AUD/USD and other dollar pairs
- **Cryptocurrencies:** BTC/USD, ETH/USD (direct dollar dependency)
- **Commodities:** Gold (XAU/USD), Silver (XAG/USD), Oil
- **Indices:** SPX, NDX, especially during dollar movements
---
## Configuration Parameters
### Main Settings
- **DXY Symbol** - Dollar Index symbol (default TVC:DXY)
- **Minimum gap size** - minimum gap size in points for filtering
- **Minimum gap size (%)** - minimum percentage size (0 = disabled)
- **Confirmation candles** - number of candles for confirmation (1-10)
- **Maximum gaps on chart** - maximum number of displayed projections
### Multi-Timeframe
- **Enable MTF gaps** - enable/disable MTF gaps
- **Timeframe for gaps** - select lower timeframe for search
- **Max MTF gaps** - maximum number of MTF lines (5-2000)
- **Min MTF gap size** - minimum MTF gap size
- **MTF lines color** - MTF lines color
- **MTF lines style** - line style (Solid/Dashed/Dotted)
- **MTF lines width** - MTF lines width (1-3)
### Visualization
- **Extend lines right** - extend lines to the right
- **Use heatmap** - use adaptive visualization (width/brightness from gap size)
- **Stop lines when DXY gap closes** - stop lines when gap closes on DXY
### Colors
- **Bullish gap color** - color of bullish DXY gap lines
- **Bullish Transparency** - transparency of bullish lines (0-90)
- **Bearish gap color** - color of bearish DXY gap lines
- **Bearish Transparency** - transparency of bearish lines (0-90)
- **Line style** - style of all projection lines
### Alerts
- **Alert on new gap** - notification when new gap is confirmed
---
## Features and Advantages
✅ **Inter-market analysis** - uses correlation between DXY and traded asset
✅ **Automatic filtering** - excludes insignificant and quickly closing gaps
✅ **Multi-timeframe analysis** - combines signals from different time periods
✅ **Visual hierarchy** - heatmap automatically highlights most significant levels
✅ **Lifecycle tracking** - each level is monitored until touch or gap closure
✅ **Universality** - works on any dollar-correlated assets
✅ **Non-repainting** - all levels are fixed historically and don't change
✅ **Customizable visualization** - full control over colors, styles and transparency
---
## Limitations and Important Notes
⚠️ **Indicator is not a trading system** - it's a technical analysis tool requiring confirmation by other methods
⚠️ **Works only on assets correlated with DXY** - on instruments without dollar correlation, signals will be ineffective
⚠️ **Requires understanding of inter-market relationships** - recommended to study correlations between DXY and your instrument
⚠️ **DXY data quality** - ensure your data provider supplies correct TVC:DXY history
⚠️ **MTF data** - when using very low MTF timeframes, delays in updates are possible
---
## Who This Indicator Is For
👨💼 **Forex traders** - analyzing macroeconomic dollar movements
📈 **Crypto traders** - considering dollar influence on Bitcoin and altcoins
🥇 **Commodity market traders** - trading gold, silver, oil
📊 **Intraday scalpers** - using MTF for precise entries
📉 **Swing traders** - looking for medium-term entry points at key levels
---
## Disclaimer
This indicator is intended solely for educational and informational purposes. It is not financial advice or a recommendation to act. All trading decisions you make at your own risk. Past results do not guarantee future performance. Always use proper risk management.
ابحث في النصوص البرمجية عن "gaps"
Bullish & Bearish Gap Boxes with Gap Points 2025
Bullish & Bearish Gap Boxes with Gap Points & Table Functionality 2025
## **1. Highlighted Key Points in the Code**
* **Gap Detection Logic**
* **Bullish Gap:** `Low >= High ` (low is above the previous high) → bullish sentiment.
* **Bearish Gap:** `High <= Low ` (high is below the previous low) → bearish sentiment.
* **Configurable Filters**
* Minimum gap size in points (`minGapPoints`).
* Option to show/hide bullish and bearish gaps individually.
* Custom table position, row count, and text size for flexibility.
* **Visual Marking on Chart**
* **Boxes:** Drawn between gap high and low, extending to the right until price “fills” the gap.
* **Labels:** Show gap size (points + %), tooltip with exact high & low.
* **Automatic Gap Removal**
* Bullish gap deleted when `Low <= gapBottom` (gap filled).
* Bearish gap deleted when `High >= gapTop` (gap filled).
* **Gap Ranking Table**
* Shows **nearest** gaps to the current price, sorted by distance.
* Separate bear and bull gap lists, each limited to `maxBearRows` & `maxBullRows`.
* Displays type, gap size, gap %, high, and low.
* Uses the current chart timeframe in the title.
* **Multi-Timeframe Safe Handling**
* Uses `request.security()` to fetch OHLC for the active timeframe.
* Includes a function to translate timeframe into human-readable labels.
---
## **2. User Functionality**
From a trader’s perspective, here’s what your script allows:
Setting window divided into Two Parts for Better Handling normal & Table Section
✅ Functionality to Hide and Show_Gap_Tbl.
✅ **Detects and visually marks price gaps** automatically on any timeframe.
✅ **Extends gap zones** forward until price fills them.
✅ **Separates bullish and bearish gaps** for better decision-making.
✅ **Custom filtering** (minimum size, display toggles, table layout).
✅ **Gap watchlist table** showing only the nearest & most relevant gaps to current price.
✅ **Multi-timeframe compatibility** without repainting issues.
✅ **Clean chart control** with `max_labels_count` & `max_lines_count` limits to prevent overload.
✅ **Clean Tooltip control** with `Gap High` & `Gap Low` & Gap Range Points for Quick Understanding.
---
## **3. Why Gaps Are Important in Trading (Runaway vs. Normal Gaps)**
Gaps in price are **areas with no trading activity** between two consecutive bars. They represent **imbalances between supply and demand** and often occur due to overnight news, earnings, or strong market sentiment.
### **A. Normal (Common) Gaps**
* Appear in normal market moves.
* Often get “filled” quickly as price reverts to the mean.
* Not usually linked to major trends.
* Example: A small gap on a 5-min chart due to sudden but minor news.
### **B. Runaway (Continuation) Gaps**
* Happen **in the middle of strong trends** (uptrend or downtrend).
* Indicate **momentum acceleration** — institutions are aggressively entering.
* Rarely get filled in the short term.
* Example: During a bull rally, price gaps up and never comes back to retest.
---
### **Why Traders Watch Gaps**
1. **Support & Resistance Zones**
* Gaps act like **magnets** for price (gap fill targets) or **barriers** (price rejection).
2. **Trend Confirmation**
* Runaway gaps signal strong momentum; traders may enter in the direction of the gap.
3. **Trade Setup Opportunities**
* Fade the gap: Trade against it if expecting a fill.
* Follow the gap: Trade with it if expecting continuation.
4. **Volume Confirmation**
* High volume + gap = institutional activity → higher reliability.
[TehThomas] - ICT Inversion Fair value Gap (IFVG) The Inversion Fair Value Gap (IFVG) indicator is a powerful tool designed for traders who utilize ICT (Inner Circle Trader) strategies. It focuses on identifying and displaying Inversion Fair Value Gaps, which are critical zones that emerge when traditional Fair Value Gaps (FVGs) are invalidated by price action. These gaps represent key areas where price often reacts, making them essential for identifying potential reversals, trend continuations, and liquidity zones.
What Are Inversion Fair Value Gaps?
Inversion Fair Value Gaps occur when price revisits a traditional FVG and breaks through it, effectively flipping its role in the market. For example:
A bullish FVG that is invalidated becomes a bearish zone, often acting as resistance.
A bearish FVG that is invalidated transforms into a bullish zone, serving as support.
These gaps are significant because they often align with institutional trading activity. They highlight areas where large orders have been executed or where liquidity has been targeted. Understanding these gaps provides traders with a deeper insight into market structure and helps them anticipate future price movements with greater accuracy.
Why This Strategy Works
The IFVG concept is rooted in ICT principles, which emphasize liquidity dynamics, market inefficiencies, and institutional order flow. Traditional FVGs represent imbalances in price action caused by gaps between candles. When these gaps are invalidated, they become inversion zones that can act as magnets for price. These zones frequently serve as high-probability areas for price reversals or trend continuations.
This strategy works because it aligns with how institutional traders operate. Inversion gaps often mark areas of interest for "smart money," making them reliable indicators of potential market turning points. By focusing on these zones, traders can align their strategies with institutional behavior and improve their overall trading edge.
How the Indicator Works
This indicator simplifies the process of identifying and tracking IFVGs by automating their detection and visualization on the chart. It scans the chart in real-time to identify bullish and bearish FVGs that meet user-defined thresholds for inversion. Once identified, these gaps are dynamically displayed on the chart with distinct colors for bullish and bearish zones.
The indicator also tracks whether these gaps are mitigated or broken by price action. When an IFVG is broken, it extends the zone for a user-defined number of bars to visualize its potential role as a new support or resistance level. Additionally, alerts can be enabled to notify traders when new IFVGs form or when existing ones are broken, ensuring timely decision-making in fast-moving markets.
Key Features
Automatic Detection: The indicator automatically identifies bullish and bearish IFVGs based on user-defined thresholds.
Dynamic Visualization: It displays IFVGs directly on the chart with customizable colors for easy differentiation.
Real-Time Updates: The status of each IFVG is updated dynamically based on price action.
Zone Extensions: Broken IFVGs are extended to visualize their potential as support or resistance levels.
Alerts: Notifications can be set up to alert traders when key events occur, such as the formation or breaking of an IFVG.
These features make the tool highly efficient and reduce the need for manual analysis, allowing traders to focus on execution rather than tedious chart work.
Benefits of Using This Indicator
The IFVG indicator offers several advantages that make it an indispensable tool for ICT traders. By automating the detection of inversion gaps, it saves time and reduces errors in analysis. The clearly defined zones improve risk management by providing precise entry points, stop-loss levels, and profit targets based on market structure.
This tool is also highly versatile and adapts seamlessly across different timeframes. Whether you’re scalping lower timeframes or swing trading higher ones, it provides actionable insights tailored to your trading style. Furthermore, by aligning your strategy with institutional logic, you gain a significant edge in anticipating market movements.
Practical Applications
This indicator can be used across various trading styles:
Scalping: Identify quick reversal points on lower timeframes using real-time alerts.
Day Trading: Use inversion gaps as key levels for intraday support/resistance or trend continuation setups.
Swing Trading: Analyse higher timeframes to identify major inversion zones that could act as critical turning points in larger trends.
By integrating this tool into your trading routine, you can streamline your analysis process and focus on executing high-probability setups.
Conclusion
The Inversion Fair Value Gap (IFVG) indicator is more than just a technical analysis tool—it’s a strategic ally for traders looking to refine their edge in the markets. By automating the detection and tracking of inversion gaps based on ICT principles, it simplifies complex market analysis while maintaining accuracy and depth. Whether you’re new to ICT strategies or an experienced trader seeking greater precision, this indicator will elevate your trading game by aligning your approach with institutional behavior.
If you’re serious about improving your trading results while saving time and effort, this tool is an essential addition to your toolkit. It provides clarity in chaotic markets, enhances precision in trade execution, and ensures you never miss critical opportunities in your trading journey.
__________________________________________
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 strategies. Let’s grow and trade smarter together! 📈
Bitcoin Block Height (Total Blocks)Bitcoin Block Height by RagingRocketBull 2020
Version 1.0
Differences between versions are listed below:
ver 1.0: compare QUANDL Difficulty vs Blockchain Difficulty sources, get total error estimate
ver 2.0: compare QUANDL Hash Rate vs Blockchain Hash Rate sources, get total error estimate
ver 3.0: Total Blocks estimate using different methods
--------------------------------
This indicator estimates Bitcoin Block Height (Total Blocks) using Difficulty and Hash Rate in the most accurate way possible, since
QUANDL doesn't provide a direct source for Bitcoin Block Height (neither QUANDL:BCHAIN, nor QUANDL:BITCOINWATCH/MINING).
Bitcoin Block Height can be used in other calculations, for instance, to estimate the next date of Bitcoin Halving.
Using this indicator I demonstrate:
- that QUANDL data is not accurate and differ from Blockchain source data (industry standard), but still can be used in calculations
- how to plot a series of data points from an external csv source and compare it with another source
- how to accurately estimate Bitcoin Block Height
Features:
- compare QUANDL Difficulty source (EOD, D1) with external Blockchain Difficulty csv source (EOD, D1, embedded)
- show/hide Quandl/Blockchain Difficulty curves
- show/hide Blockchain Difficulty candles
- show/hide differences (aqua vertical lines)
- show/hide time gaps (green vertical lines)
- count source differences within data range only or for the whole history
- multiply both sources by alpha to match before comparing
- floor/round both matched sources when comparing
- Blockchain Difficulty offset to align sequences, bars > 0
- count time gaps and missing bars (as result of time gaps)
WARNING:
- This indicator hits the max 1000 vars limit, adding more plots/vars/data points is not possible
- Both QUANDL/Blockchain provide daily EOD data and must be plotted on a daily D1 chart otherwise results will be incorrect
- current chart must not have any time gaps inside the range (time gaps outside the range don't affect the calculation). Time gaps check is provided.
Otherwise hardcoded Blockchain series will be shifted forward on gaps and the whole sequence become truncated at the end => data comparison/total blocks estimate will be incorrect
Examples of valid charts that can run this indicator: COINBASE:BTCUSD,D1 (has 8 time gaps, 34 missing bars outside the range), QUANDL:BCHAIN/DIFF,D1 (has no gaps)
Usage:
- Description of output plot values from left to right:
- c_shifted - 4x blockchain plotcandles ohlc, green/black (default na)
- diff - QUANDL Difficulty
- c_shifted - Blockchain Difficulty with offset
- QUANDL Difficulty multiplied by alpha and rounded
- Blockchain Difficulty multiplied by alpha and rounded
- is_different, bool - cur bar's source values are different (1) or not (0)
- count, number of differences
- bars, total number of bars/data points in the range
- QUANDL daily blocks
- Blockchain daily blocks
- QUANDL total blocks
- Blockchain total blocks
- total_error - difference between total_blocks estimated using both sources as of cur bar, blocks
- number_of_gaps - number of time gaps on a chart
- missing_bars - number of missing bars as result of time gaps on a chart
- Color coding:
- Blue - QUANDL data
- Red - Blockchain data
- Black - Is Different
- Aqua - number of differences
- Green - number of time gaps
- by default the indicator will show lots of vertical aqua lines, 138 differences, 928 bars, total error -370 blocks
- to compare the best match of the 2 sources shift Blockchain source 1 bar into the future by setting Blockchain Difficulty offset = 1, leave alpha = 0.01 =>
this results in no vertical aqua lines, 0 differences, total_error = 0 blocks
if you move the mouse inside the range some bars will show total_error = 1 blocks => total_error <= 1 blocks
- now uncheck Round Difficulty Values flag => some filled aqua areas, 218 differences.
- now set alpha = 1 (use raw source values) instead of 0.01 => lots of filled aqua areas, 871 differences.
although there are many differences this still doesn't affect the total_blocks estimate provided Difficulty offset = 1
Methodology:
To estimate Bitcoin Block Height we need 3 steps, each step has its own version:
- Step 1: Compare QUANDL Difficulty vs Blockchain Difficulty sources and estimate error based on differences
- Step 2: Compare QUANDL Hash Rate vs Blockchain Hash Rate sources and estimate error based on differences
- Step 3: Estimate Bitcoin Block Height (Total Blocks) using different methods in the most accurate way possible
QUANDL doesn't provide block time data, but we can calculate it using the Hash Rate approximation formula:
estimated Hash rate/sec H = 2^32 * D / T, where D - Difficulty, T - block time, sec
1. block time (T) can be derived from the formula, since we already know Difficulty (D) and Hash Rate (H) from QUANDL
2. using block time (T) we can estimate daily blocks as daily time / block time
3. block height (total blocks) = cumulative sum of daily blocks of all bars on the chart (that's why having no gaps is important)
Notes:
- This code uses Pinescript v3 compatibility framework
- hash rate is in THash/s, although QUANDL falsely states in description GHash/s! THash = 1000 GHash
- you can't read files, can only embed/hardcode raw data in script
- both QUANDL and Blockchain sources have no gaps
- QUANDL and Blockchain series are different in the following ways:
- all QUANDL data is already shifted 1 bar into the future, i.e. prev day's value is shown as cur day's value => Blockchain data must be shifted 1 bar forward to match
- all QUANDL diff data > 1 bn (10^12) are truncated and have last 1-2 digits as zeros, unlike Blockchain data => must multiply both values by 0.01 and floor/round the results
- QUANDL sometimes rounds, other times truncates those 1-2 last zero digits to get the 3rd last digit => must use both floor/round
- you can only shift sequences forward into the future (right), not back into the past (left) using positive offset => only Blockchain source can be shifted
- since total_blocks is already a cumulative sum of all prev values on each bar, total_error must be simple delta, can't be also int(cum()) or incremental
- all Blockchain values and total_error are na outside the range - move you mouse cursor on the last bar/inside the range to see them
TLDR, ver 1.0 Conclusion:
QUANDL/Blockchain Difficulty source differences don't affect total blocks estimate, total error <= 1 block with avg 150 blocks/day is negligible
Both QUANDL/Blockchain Difficulty sources are equally valid and can be used in calculations. QUANDL is a relatively good stand in for Blockchain industry standard data.
Links:
QUANDL difficulty source: www.quandl.com
QUANDL hash rate source: www.quandl.com
Blockchain difficulty source (export data as csv): www.blockchain.com
Quantum Trend FVG System [ReyTradez]1️⃣ INTRODUCTION
The Quantum Trend FVG System provides a complete, structured framework for algorithmic trend detection and Fair Value Gap detection, combining smoothed trend evaluation, multi-layered price-action logic, and ATR-based filtering to deliver clear, data-driven market structure insights for trend-following, swing, and intraday trading.
🔹It combines two powerful techniques:
Trend Detector System: Uses smoothed Moving Averages to identify long-term and short-term market trends, helping traders align their trades with the dominant market direction.
FVG Detector System: Identifies Fair Value Gaps and confirms only meaningful gaps by combining ATR-based filtering with the three same-candle technique, which requires three consecutive same-direction candles to validate each FVG, increasing the probability of high-quality trading opportunities.
The Quantum Trend FVG System is engineered with a clear purpose: to deliver accurate, real-time identification of significant Fair Value Gaps and trend conditions that support advanced price-action and SMC-based analysis. While an FVG or trend signal should not be used in complete isolation, these structural events are essential for understanding market imbalance, liquidity displacement, and potential points of reaction. The system is designed to provide consistent, high-quality detection, giving traders a refined and reliable framework for interpreting market structure and anticipating future movement.
2️⃣ TREND DETECTOR SYSTEM
The Trend Detector uses a dual-SMA engine to determine market direction. A user-friendly slider controls sensitivity to make trends more reactive or smoother.
🔹Features:
Colors candles based on bullish or bearish trend
Fills the background with a smooth gradient between SMAs
Confirms trend direction for breakout and continuation trades
3️⃣ FAIR VALUE GAPS (FVG) DETECTOR SYSTEM
Detects high-quality FVGs validated by three consecutive same-direction candles. Only meaningful gaps are displayed, reducing noise.
🔹Bullish FVG Conditions:
3 consecutive bullish candles
Current low > high of 2 candles ago
Passes ATR-based minimum size filter
🔹Bearish FVG Conditions:
3 consecutive bearish candles
Current high < low of 2 candles ago
Passes ATR-based minimum size filter
🔹ATR-Based Filtering (Integrated in FVGs):
Filters out small or insignificant gaps that may not be tradable
ATR period defines market volatility used for comparison
Minimum FVG size is set relative to ATR to ensure only meaningful gaps are considered
4️⃣ SETTINGS OVERVIEW
🔹Trend Detector Settings:
Enable Trend Detector — toggles the Trend Detector system on or off;
Trend Detector Sensitivity — adjusts the responsiveness of the trend detection (0 = lowest sensitivity, 10 = highest sensitivity).
🔹FVG Detector Settings:
Show FVGs — toggles the display of Fair Value Gaps on the chart;
Extend FVGs — controls how far FVG boxes extend into the future;
Number of historical FVGs — sets the maximum number of FVG boxes to display;
Bullish FVG color — selects the color for bullish FVGs;
Bearish FVG color — selects the color for bearish FVGs.
🔹ATR Filter Settings:
ATR Period — sets the number of bars used to calculate ATR;
Min FVG size factor — defines the minimum FVG size relative to ATR required for validity (e.g., 0.5 means the FVG must be at least 50% of the ATR).
5️⃣ TRADING EXAMPLES
🟢 Long Setup Example
A Bullish Trend + valid Bullish FVG confirmed by strong displacement.
🔴 Short Setup Example
A Bearish Trend + valid Bearish FVG confirmed by strong displacement.
6️⃣ CONCLUSION
The Quantum Trend FVG System is designed to automatically detect significant Fair Value Gaps while analyzing the prevailing market trend through its Trend Detector System. By combining smoothed trend analysis with ATR-filtered FVG Detector System, it highlights high-probability zones where price may react, making it easier for traders to identify structurally important areas without manually tracking them.
🔹Traders can now:
✅ Quickly identify market trends
✅ Spot high-probability Fair Value Gaps
✅ Filter minor gaps using ATR
✅ Visualize trend momentum with gradient fills
✅ Maintain a clean, readable chart with historical FVG limits
⚠️ This indicator is not intended to signal exact entry points or guarantee that an FVG will act as a perfect buying or selling zone; rather, it streamlines the identification process and supports the implementation of systematic, rules-based trading strategies, allowing traders to incorporate trend and FVG analysis into their workflow more efficiently.
FVG [TakingProphets]🧠 Purpose
This indicator is built for traders applying Inner Circle Trader (ICT) methodology. It detects and manages Fair Value Gaps (FVGs) — price imbalances that often act as future reaction zones. It also highlights New Day Opening Gaps (NDOGs) and New Week Opening Gaps (NWOGs) that frequently play a role in early-session price behavior.
📚 What is a Fair Value Gap?
A Fair Value Gap forms when price moves rapidly, skipping over a portion of the chart between three candles — typically between the high of the first candle and the low of the third. These zones are considered inefficient, meaning institutions may return to them later to:
-Rebalance unfilled orders
-Enter or scale into positions
-Engineer liquidity with minimal slippage
In ICT methodology, FVGs are seen as both entry zones and targets, depending on market structure and context.
⚙️ How It Works
-This script automatically identifies and manages valid FVGs using the following logic:
-Bullish FVGs: When the low of the current candle is above the high from two candles ago
-Bearish FVGs: When the high of the current candle is below the body of two candles ago
-Minimum Gap Filter: Gaps must be larger than 0.05% of price
-Combine Consecutive Gaps (optional): Merges adjacent gaps of the same type
-Consequent Encroachment Line (optional): Plots the midpoint of each gap
-NDOG/NWOG Tracking: Labels gaps created during the 5–6 PM session transition
-Automatic Invalidation: Gaps are removed once price closes beyond their boundary
🎯 Practical Use
-Use unmitigated FVGs as potential entry points or targets
-Monitor NDOG and NWOG for context around daily or weekly opens
-Apply the midpoint (encroachment) line for precise execution decisions
-Let the script handle cleanup — only active, relevant zones remain visible
🎨 Customization
-Control colors for bullish, bearish, and opening gaps
-Toggle FVG borders and midpoint lines
-Enable or disable combining of consecutive gaps
-Fully automated zone management, no manual intervention required
✅ Summary
This tool offers a clear, rules-based approach to identifying price inefficiencies rooted in ICT methodology. Whether used for intraday or swing trading, it helps traders stay focused on valid, active Fair Value Gaps while filtering out noise and maintaining chart clarity.
CandelaCharts - Imbalance Concepts 📝 Overview
Imbalance Concepts is an advanced toolkit rooted in ICT (Inner Circle Trader) principles, specifically designed to identify and highlight critical areas of support and resistance within financial markets. This toolkit focuses on detecting market imbalances that can indicate potential turning points or high-probability zones for price action.
The key components of the toolkit include:
Fair Value Gaps (FVG)
Inversion Fair Value Gaps (IFVG)
Balanced Price Range (BPR)
Volume Imbalances (VI)
Opening Gaps (OG)
The toolkit automatically detects these imbalances and visually marks them on charts, allowing traders to quickly identify key zones for analysis. This enables more informed decision-making, as these imbalances often signal the potential for major market shifts, reversals, or continuation patterns.
By integrating Imbalance Concepts, traders can focus on critical price areas that have a high likelihood of influencing future price action.
📦 Features
The Imbalance Concepts toolkit provides a robust set of features aimed at improving trading accuracy and decision-making. Key features include:
MTF
Mitigation
Consequent Encroachment
Threshold
Hide Overlap
Advanced Styling
⚙️ Settings
Show: Controls whether Imbalances are displayed on the chart.
Show Last: Sets the number of Imbalances you want to display.
Length: Determines the length of each Imbalance.
Mitigation: Highlights when an Imbalance has been touched, using a different color without marking it as invalid.
Timeframe: Specifies the timeframe used to detect Imbalances.
Threshold: Sets the minimum gap size required for Imbalance detection on the chart.
Show Mid-Line: Configures the midpoint line's width and style within the Imbalance. (Consequent Encroachment - CE)
Show Border: Defines the border width and line style of the Imbalance.
Hide Overlap: Removes overlapping Imbalances from view.
Extend: Extends the Imbalance length to the current candle.
Elongate: Fully extend the Imbalance length to the right side of the chart.
⚡️ Showcase
Fair Value Gaps (FVG)
Inversion Fair Value Gaps (IFVG)
Balanced Price Range (BPR)
Volume Imbalances (VI)
Opening Gaps (OG)
📒 Usage
The key components of trading imbalances include:
Step 1 – Identify Market Trend: Begin by determining the market trend for the asset, whether it is bullish or bearish.
Step 2 – Locate Premium and Discount Zones: In a bearish market, focus on identifying the premium Imbalance, while in a bullish market, look for the discount Imbalance.
Step 3 – Detect Liquidity Sweep: After identifying the trend, the next step is to spot a liquidity sweep, which often indicates a potential price reversal or continuation.
Step 4 – Detect Change In State of Delivery: Following the liquidity sweep, the next step is to recognize a CISD, which frequently serves as a confirmation of a potential price reversal.
Step 5 – Execute the Trade: In a bullish market, wait for the price to retrace and test the discount imbalance, aiming to balance the price movement before entering the trade.
NOTES:
You always short only on Premium, and long on Discount.
Fair Value Gaps (FVG)
Inversion Fair Value Gaps
Balanced Price Range
🚨 Alerts
The indicator provides the ability to set alerts for various significant market events related to its core features.
You can configure alerts for the following key events:
Fair Value Gaps Formation (+B/-B)
Inversion Fair Value Gaps Formation (+B/-B)
Balanced Price Range Formation (+B/-B)
Volume Imbalances Formation (+B/-B)
Opening Gaps Formation (+B/-B)
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Indecisive and Explosive CandlesThe Explosive & Base Candle with Gaps Identifier is an indicator designed to enhance your market analysis by identifying critical candle types and gaps in price action. This tool aids traders in pinpointing zones of significant buyer-seller interaction and potential institutional activity, providing valuable insights for strategic trading decisions.
Main Features:
Base Candle Identification: This feature detects Base candles, also known as indecisive candles, within the price action. A Base candle is characterized by a body (the difference between the close and open prices) that is less than or equal to 50% of its total range (the difference between the high and low prices). These candles mark zones where buyers and sellers are evenly matched, highlighting areas of potential support and resistance.
Explosive Candle Identification: The indicator identifies Explosive candles, which are indicative of strong market moves often driven by institutional activity. An Explosive candle is defined by a body that is greater than 70% of its total range. Recognizing these candles helps traders spot significant momentum and potential breakout points.
Supply and Demand Zone Identification: Both Base and Explosive candles are essential for identifying supply and demand zones within the price action. These zones are crucial for traders to place their trades based on the likelihood of price reversals or continuations.
Gap Detection: The indicator also detects gaps, defined as the difference between the close price of one candle and the open price of the next. Gaps are significant because prices often return to these levels to "fill the gap," providing opportunities for traders to predict price movements and place strategic trades.
Visual Markings and Alerts: The indicator visually marks Base and Explosive candles as well as gaps directly on the chart, making them easily identifiable at a glance. Traders can also set customizable alerts to notify them when these key candle types and gaps appear, ensuring they never miss an important trading opportunity.
Customizable Settings: Tailor the indicator’s settings to match your trading style and preferences. Adjust the criteria for Base and Explosive candles, as well as how gaps are detected and displayed, to suit your specific analysis needs.
How to Use:
Add the Indicator: Apply the Explosive & Base Candle with Gaps Identifier to your TradingView chart.
Analyze Identified Zones: Observe the marked Base and Explosive candles and gaps to identify key areas of support, resistance, and potential price reversals or continuations.
Set Alerts: Customize and set alerts for the detection of Base candles, Explosive candles, and gaps to stay informed of critical market movements in real-time.
Integrate with Your Strategy: Use the insights provided by the indicator to enhance your existing trading strategy, improving your entry and exit points based on the identified supply and demand zones.
The Explosive & Base Candle with Gaps Identifier is an invaluable tool for traders aiming to refine their market analysis and make more informed trading decisions. By identifying critical areas of price action, this indicator supports traders in navigating the complexities of the financial markets with greater precision and confidence.
CME Gap Detector [CryptoSea]The CME Gap Indicator , is a tool designed to identify and visualize potential price gaps in the cryptocurrency market, particularly focusing on gaps that occur during the weekend trading sessions. By highlighting these gaps, traders can gain insights into potential market movements and anticipate price behavior.
Key Features
Gap Identification: The indicator identifies gaps in price between the Friday close and the subsequent opening price on Monday. It plots these gaps on the chart, allowing traders to easily visualize and analyze their significance.
Weekend Price Comparison: It compares the closing price on Friday with the opening price on Monday to determine whether a gap exists and its magnitude.
Customizable Visualization: Traders have the option to customize the visualization of the gaps, including the color scheme for better clarity and visibility on the chart.
Neutral Candle Color Option: Users can choose to display neutral candle colors, enhancing the readability of the chart and reducing visual clutter.
How it Works
Data Fetching and Calculation: The indicator fetches the daily close price and calculates whether a gap exists between the Friday close and the subsequent Monday opening price.
Plotting: It plots the current price and the previous Friday's close on the chart, making it easy for traders to compare and analyze.
Gradient Fill: The indicator incorporates a gradient fill feature to visually represent the magnitude of the gap, providing additional insights into market sentiment.
Weekend Line Logic: It includes logic to identify Sunday bars and mark them on the chart, aiding traders in distinguishing weekend trading sessions.
Application
Gap Trading Strategy: Traders can use the identified gaps as potential entry or exit points in their trading strategies, considering the tendency of price to fill gaps over time.
Market Sentiment Analysis: Analyzing the presence and size of weekend gaps can provide valuable insights into market sentiment and participant behavior.
Risk Management: Understanding the existence and significance of gaps can help traders manage their risk exposure and make informed decisions.
The CME Gap indicator offers traders a valuable tool for analyzing weekend price gaps in the cryptocurrency market, empowering them to make informed trading decisions and capitalize on market opportunities.
Imbalance Detector [LuxAlgo]This indicator detects and highlights market imbalances alongside a dashboard returning information about their frequency of occurrence and their fill percentage. Imbalances included in this script are Fair Value Gaps (FVG), Opening Gaps (OG) and Volume Imbalances (VI).
Alerts are available for the occurrences of all market imbalances.
Settings
Imbalances
Each imbalance has the same settings layout:
Imbalance: Enable/disable the detection of the specific imbalance.
Min Width: If enabled, requires the imbalance area width to be greater than the specified value. This minimum width can be expressed in points, percentages or ATR multiples.
Extend: Extend imbalances by a specified number of bars.
Dashboard
Show Dashboard: Enable/disable the dashboard on the chart.
Dashboard Location: Location of the dashboard on the chart.
Dashboard Size: Size of the dashboard.
Usage
Market imbalances are part of the many concepts available to price action traders and highlight areas where there is a disparity between supply and demand.
It is common to see price come back to these areas and traders often use them as supports and resistances but also as targets.
Details
The script can detect three distinct types of imbalances described below.
Fair Value Gaps
Fair Value Gaps (FVG) are three candle formations characterized by a gap between the wicks of the non-adjacent candles in the formation.
A bullish FVG is characterized by a gap between the current price low and the 2 bars anterior price high, and a bearish FVG is characterized by a gap between the current price high and the 2 bars anterior price low.
Opening Gaps
Opening Gaps (OG) are imbalances characterized by non-existent activity within a specific price range.
A bullish OG occurs when the current price low is greater than the previous high, a bearish OG occurs when price high is lower than the previous price low.
Opening Gaps primarily occur in closing markets, as such they are less common in the cryptocurrency market.
Most of the time an Opening Gap will also be accompanied by a Fair Value Gap, in order to avoid clutter the indicator will not detect Fair Value Gaps if Opening Gaps are enabled and if an Opening Gap has been detected
Volume Imbalances
Volume Imbalances (VI) are characterized by a price discontinuity between the opening price and previous close, but unlike Opening Gaps we do not see nonexistent activity within a certain price range.
A bullish VI occur when both the opening and closing prices are superior to the previous closing price, with the current price low overlapping the previous price high. A bearish VI occur when both the opening and closing prices are inferior to the previous closing price, with the current price high overlapping the previous price low.
Because Volume Imbalances can occur excessively on markets with frequent gaps, we make use of an additional condition for filtering out less significant imbalances. Bullish VI's will require the previous price high to be lower than the opening price, while bullish VI's will require the previous price low to be higher than the opening price.
BORSA 321 - Care PackageOverview
Care Package is a complete higher-timeframe and intraday context tool designed to map out every important environmental factor on your chart: sessions, opening levels, gaps, market structure, order blocks, fair value gaps, volume imbalance and more.
It automatically plots:
Sessions / killzones (Asia, London, New York AM/Lunch/PM)
Key opening levels (00:00, 08:30, 09:30, 13:30)
Previous day AM/PM high–low ranges
New Day and New Week Opening Gaps (NDOG / NWOG)
RTH gap and RTH zone levels
Multi-timeframe Fair Value Gaps (up to 4)
Fractals and Order Blocks (with optional FVG confirmation)
Market structure (HH/HL/LL/LH, CHoCH, BOS)
Volume Imbalance zones with mitigation logic
All session logic runs on IANA time zones (like America/New_York), giving accurate sessions and market opens regardless of DST or broker feed.
Care Package serves as the full “context layer” for intraday execution charts.
What It Shows
1. Sessions / Killzones
The indicator automatically highlights:
Asia Session
London Session
New York AM
New York Lunch
New York PM
Each session displays:
A high–low range box
Labels for session high and session low
A midline showing the mean price
Optional forward extensions of session levels to the current bar
This cleanly outlines intraday phases for ICT/SMC execution.
2. Opening Price Levels
Key market open levels tracked:
00:00
08:30
09:30
13:30
For each open, the script draws:
A horizontal line at the opening price
A label showing time and price
An optional vertical line marking the opening bar
These opens often act as liquidity or reversal areas.
3. Previous Day AM/PM Levels
The script splits the prior day into:
Previous Day AM (first half)
Previous Day PM (second half)
Both provide:
PD AM High, PD AM Low
PD PM High, PD PM Low
Forward-projected levels
Labels for easy identification
Useful for navigating intraday targets and reaction zones.
4. Last N Days High/Low
Tracks a rolling daily range:
Each day’s High and Low
Labels containing the date
Forward extension into today’s price action
This shows where price sits relative to recent daily extremes.
5. New Day & New Week Opening Gaps (NDOG / NWOG)
The script automatically identifies:
NDOG (New Day Open Gap)
NWOG (New Week Open Gap)
Each gap includes:
A shaded zone between the two opens
Labels showing the gap type and date/week
Forward extension (optional)
Limiting the number of historical gaps (optional)
Critical for identifying unfilled imbalance zones across sessions and weeks.
6. RTH Gap & RTH Zone
You define RTH open/close times, and the indicator:
Detects RTH gaps
Draws a full zone based on direction
Plots subdivision lines (top, 75%, mid, 25%, bottom)
Extends the RTH Close reference line forward
Can extend old RTH zones automatically
Ideal for futures traders and equities.
7. Higher-Timeframe Fair Value Gaps (up to 4 TFs)
Supports up to four selectable FVG timeframes such as:
Chart timeframe
5m, 15m, 1H, 4H, 1D, 1W, 1M
Each FVG includes:
Top and bottom boundary
A midline (mean threshold)
Colored bullish or bearish fill
A label showing FVG + timeframe
Automatic cleanup when mitigated (close/wick based)
You get a clean and accurate HTF FVG map without clutter.
8. Fractals & Order Blocks
Fractals:
Standard or 5-bar fractals
Plotted as swing highs and lows
Order Blocks:
Bullish OB → down candle before up displacement
Bearish OB → up candle before down displacement
Optionally require OB to be near an FVG
Wick-based or body-based OB size
Forward-projected OB boxes
Auto-delete after mitigation
This keeps your OBs clean and execution-focused.
9. Market Structure (HH/HL/LL/LH, CHoCH, BOS)
The indicator automatically detects:
HH (Higher High)
HL (Higher Low)
LH (Lower High)
LL (Lower Low)
And also identifies:
CHoCH (Change of Character)
BOS (Break of Structure)
Each break includes:
A horizontal level at the break point
A color-coded label
Bullish (green) or bearish (red) styling
A complete market structure map is built automatically.
10. Volume Imbalances (VI)
Detects and displays:
Bullish VI (VI+)
Bearish VI (VI-)
Features:
Configurable colors
Custom label size
Max visible boxes
Extension until mitigation
Automatic mitigation detection (close or wick)
Highlight when price enters an active VI
Perfect for tracking aggressive buying/selling footprints.
11. Timezone & Date/Time Widget
Uses IANA timezones for:
Accurate session boundaries
Proper DST handling
Multi-market consistency
Also includes a small on-chart table showing:
Your timezone date/time
Exchange timezone date/time
Great for globally active traders.
12. Max Display Timeframe
To prevent clutter, the script disables visuals above a chosen timeframe.
If you exceed it:
A clean on-chart message appears
Tells you to lower your chart TF or adjust the Max Display TF
Keeps charts fast and clean
Key Inputs & Customization
Timezone (IANA format)
Max Display Timeframe
Session/Killzone toggles, colors, naming
Opening levels (00:00 / 08:30 / 09:30 / 13:30)
Previous Day AM/PM highs/lows
NDOG / NWOG gap settings
RTH gap settings
FVG batching (4 independent timeframes)
Fractal type
Order Block settings (range type, deletion, FVG filter)
Market structure settings
Volume Imbalance settings
Date/time widget settings
Everything is modular — turn features on/off individually.
How It Helps Traders
For Intraday Traders / Scalpers:
Session mapping for timing setups
Exact key opening prices
RTH gaps and internals
Precise daily AM/PM high–low context
HTF FVGs, OBs, VI zones for higher-timeframe bias
Real-time CHoCH/BOS for entry timing
For Swing Traders:
Daily/weekly context plotted automatically
NDOG, NWOG, RTH gap awareness
Macro structure levels
HTF FVGs and OBs for HTF targets
Advanced Smart Trading Suite with OTE═══════════════════════════════════════
ADVANCED SMART TRADING SUITE WITH OPTIMAL TRADE ENTRY
═══════════════════════════════════════
A comprehensive institutional trading system combining multiple advanced concepts including multi-timeframe liquidity analysis, order blocks, fair value gaps, and optimal trade entry zones. Features optional anti-repainting controls for confirmed signal generation.
───────────────────────────────────────
WHAT THIS INDICATOR DOES
───────────────────────────────────────
This all-in-one trading suite provides:
- Multi-Timeframe Liquidity Detection - HTF (Higher Timeframe), LTF (Lower Timeframe), and current timeframe liquidity sweep identification
- Order Blocks - Institutional accumulation/distribution zones with enhanced detection
- Fair Value Gaps (FVG) - Price imbalance detection
- Inverse Fair Value Gaps (iFVG) - Counter-trend imbalance zones
- Optimal Trade Entry (OTE) Zones - Fibonacci retracement-based entry zones (0.618-0.786)
- Trading Sessions - Asian, London, and New York session visualization
- Anti-Repainting Controls - Optional confirmed signals with adjustable confirmation bars
- Comprehensive Alert System - Notifications for all major events
───────────────────────────────────────
HOW IT WORKS
───────────────────────────────────────
ANTI-REPAINTING SYSTEM:
This indicator includes optional anti-repainting controls that fundamentally change how signals are generated:
Confirmed Mode (Recommended):
- Signals wait for confirmation bars before appearing
- No repainting - what you see is final
- Adjustable confirmation period (1-5 bars)
- Slight lag in signal generation
- Better for backtesting and systematic trading
Live Mode:
- Signals appear immediately as patterns develop
- May repaint as new bars form
- Faster signal generation
- Better for discretionary real-time trading
The confirmation system affects all features: liquidity sweeps, order blocks, FVGs, and OTE zones.
LIQUIDITY SWEEP DETECTION:
Three-Tier System:
1. Current Timeframe Liquidity:
- Detects swing highs/lows on chart timeframe
- Configurable lookback and confirmation periods
- Session-tagged for context (Asian/London/NY)
2. HTF (Higher Timeframe) Key Liquidity:
- Default: 4H timeframe (configurable to Daily/Weekly)
- Strength-based filtering using ATR multipliers
- Distance-based clustering prevention
- Only strongest levels displayed (top 1-10)
- Labels show timeframe and strength rating
3. LTF (Lower Timeframe) Key Liquidity:
- Default: 1H timeframe (configurable)
- Precision entry/exit levels
- Strength-based ranking
- Distance filtering to avoid clutter
Sweep Detection Methods:
- Wick Break: Any wick beyond the level
- Close Break: Close price beyond the level
- Full Retrace: Break and close back inside (stop hunt detection)
Buffer System:
- Configurable ATR-based buffer for sweep confirmation
- Prevents false positives from minor price fluctuations
ORDER BLOCKS (Enhanced):
Detection Methodology:
- Identifies the last opposing candle before significant structure break
- Bullish OB: Last red candle before bullish break
- Bearish OB: Last green candle before bearish break
Enhanced Filters:
1. Size Filter:
- Minimum order block size (ATR-based)
- Ensures significant zones only
2. Volume Filter:
- Requires above-average volume (configurable multiplier)
- Confirms institutional participation
3. Imbalance Filter:
- Requires strong directional move after OB formation
- Validates true institutional activity
Violation Detection:
- Wick-based: Any wick through the zone
- Close-based: Close price through the zone
- Automatic removal of broken order blocks
FAIR VALUE GAPS (FVG):
Bullish FVG: Gap between candle 3 low and candle 1 high (three-bar pattern)
Bearish FVG: Gap between candle 3 high and candle 1 low
Requirements:
- Minimum gap size (ATR-based)
- Clear price imbalance
- No overlap between the three candles
Fill Detection:
- Configurable fill threshold (default 50%)
- Tracks partial and complete fills
- Removes filled gaps to keep chart clean
INVERSE FAIR VALUE GAPS (iFVG):
What are iFVGs:
- Counter-trend FVGs that form after original FVG is filled
- Indicate potential reversal or continuation failure
- Form within specific timeframe after original FVG
Detection Rules:
- Must occur after a FVG is filled
- Must form within 20 bars of original FVG
- Minimum size requirement (ATR-based)
- Opposite direction to original FVG
Visual Distinction:
- Dashed border boxes
- Different color scheme from regular FVGs
- Combined labels when FVG and iFVG overlap
OPTIMAL TRADE ENTRY (OTE) ZONES:
Based on Fibonacci retracement principles used by institutional traders:
Concept:
After a structure break (swing high/low violation), price often retraces to specific Fibonacci levels before continuing. The OTE zone (0.618 to 0.786) represents the optimal entry area.
Bullish OTE Formation:
1. Swing low is formed
2. Structure breaks above previous swing high (bullish structure break)
3. Price retraces into 0.618-0.786 Fibonacci zone
4. Entry signal when price enters and holds in OTE zone
Bearish OTE Formation:
1. Swing high is formed
2. Structure breaks below previous swing low (bearish structure break)
3. Price retraces into 0.618-0.786 Fibonacci zone
4. Entry signal when price enters and holds in OTE zone
Key Fibonacci Levels:
- 0.618 (Golden ratio - primary target)
- 0.705 (Square root of 0.5 - institutional level)
- 0.786 (Square root of 0.618 - deep retracement)
Structure Break Requirement:
- Optional setting to require confirmed structure break
- Prevents premature OTE zone identification
- Ensures proper swing structure is established
Entry/Exit Tracking:
- Green checkmark: Price entered OTE zone validly
- Red X: Price exited OTE zone (stop or target)
- Real-time status monitoring
TRADING SESSIONS:
Displays three major trading sessions with full customization:
Asian Session (Tokyo + Sydney):
- Default: 01:00-13:00 UTC+4
- Typically lower volatility
- Sets up key levels for London open
London Session:
- Default: 11:00-20:00 UTC+4
- Highest liquidity period
- Major institutional moves
New York Session:
- Default: 16:00-01:00 UTC+4
- US market hours
- High impact news events
Features:
- Real-time status indicators (🟢 Open / 🔴 Closed)
- Session high/low tracking
- Overlap detection and highlighting
- Historical session display (0-30 days)
- Customizable colors and borders
───────────────────────────────────────
HOW TO USE
───────────────────────────────────────
MASTER CONTROLS:
Enable/disable major features independently:
- Trading Sessions
- Liquidity Sweeps (Current TF)
- HTF Liquidity Sweeps
- LTF Liquidity Sweeps
- Order Blocks
- Fair Value Gaps
- Inverse Fair Value Gaps
- Optimal Trade Entry Zones
ANTI-REPAINTING SETUP:
For Backtesting/Systematic Trading:
1. Enable "Use Confirmed Signals"
2. Set Confirmation Bars to 2-3
3. All signals will wait for confirmation
4. No repainting will occur
For Real-Time Discretionary Trading:
1. Disable "Use Confirmed Signals"
2. Signals appear immediately
3. Be aware signals may adjust with new bars
MULTI-TIMEFRAME LIQUIDITY STRATEGY:
Top-Down Analysis:
1. Identify HTF liquidity levels (4H/Daily) for major targets
2. Find LTF liquidity levels (1H) for entry refinement
3. Wait for HTF liquidity sweep (liquidity grab)
4. Enter on LTF order block in direction of HTF sweep
5. Target next HTF or LTF liquidity level
Liquidity Sweep Trading:
1. HTF liquidity sweep = major institutional move
2. Look for immediate reversal or continuation
3. Use order blocks for entry timing
4. Place stops beyond the swept liquidity
SESSION-BASED TRADING:
Asian Session Strategy:
1. Identify Asian session high/low
2. Wait for London or NY session to open
3. Trade breakouts of Asian range
4. Target previous day's highs/lows
London/NY Session Strategy:
1. Watch for liquidity sweeps at session open
2. Enter on order block confirmation
3. Use OTE zones for retracement entries
4. Target session high/low or HTF liquidity
OTE ZONE TRADING:
Setup Identification:
1. Wait for clear swing high/low formation
2. Confirm structure break in intended direction
3. Monitor for price retracement to 0.618-0.786 zone
4. Enter when price enters OTE zone with confirmation
Entry Rules:
- Bullish: Long when price enters OTE zone from above
- Bearish: Short when price enters OTE zone from below
- Stop loss: Beyond 0.786 level or swing extreme
- Target: Previous swing high/low or HTF liquidity
Exit Management:
- Indicator tracks when price exits OTE zone
- Red X indicates position should be managed/closed
- Use order blocks or FVGs for partial profit targets
FAIR VALUE GAP STRATEGY:
FVG Entry Method:
1. Wait for FVG formation
2. Monitor for price return to FVG
3. Enter on first touch of FVG zone
4. Stop beyond FVG boundary
5. Target: Fill of FVG or next liquidity level
iFVG Reversal Strategy:
1. Original FVG is filled
2. iFVG forms in opposite direction
3. Indicates failed move or reversal
4. Enter on iFVG confirmation
5. Target: Opposite end of range or next structure
Combined FVG + iFVG:
- When both overlap, indicator combines labels
- Represents high-probability reversal zone
- Use with order blocks for confirmation
ORDER BLOCK STRATEGY:
Entry Approach:
1. Wait for order block formation after structure break
2. Enter on first return to order block
3. Place stop beyond order block boundary
4. Target: Next order block or liquidity level
Confirmation Layers:
- Order block + FVG = strong confluence
- Order block + Liquidity sweep = institutional setup
- Order block + OTE zone = optimal entry
- Order block + Session open = high probability
Volume Analysis:
- Wider colored section = stronger institutional interest
- Use volume bars to confirm order block strength
- Higher volume order blocks = more reliable
───────────────────────────────────────
CONFIGURATION GUIDE
───────────────────────────────────────
LIQUIDITY SETTINGS:
Lookback: 5-30 bars
- Lower = more frequent, sensitive levels
- Higher = fewer, more significant levels
- Recommended: 15 for intraday, 20-25 for swing
Sweep Detection Type:
- Wick Break: Most sensitive
- Close Break: More conservative
- Full Retrace: Stop hunt detection
Sweep Buffer: 0-1.0 ATR
- Adds distance requirement for sweep confirmation
- Prevents false positives
- Recommended: 0.1 for most markets
HTF/LTF LIQUIDITY:
HTF Timeframe Selection:
- Swing trading: 1D or 1W
- Day trading: 4H or 1D
- Scalping: 1H or 4H
LTF Timeframe Selection:
- Swing trading: 4H or 1D
- Day trading: 1H or 4H
- Scalping: 15m or 1H
Strength Filters:
- Min Pivot Strength: Higher = fewer, stronger levels
- Min Distance: Higher = less clustering
- Recommended: 2.0 ATR for HTF, 1.5 ATR for LTF
ORDER BLOCK SETTINGS:
Swing Length: 5-20
- Controls sensitivity of structure break detection
- Lower = more order blocks, faster signals
- Higher = fewer order blocks, stronger signals
- Recommended: 8-10 for most timeframes
Enhancement Filters:
- Min Size: 0.5-1.5 ATR typical
- Volume Multiplier: 1.2-2.0 typical
- Imbalance: Enable for strongest signals only
OTE SETTINGS:
Swing Length: 5-50
- Controls OTE zone formation sensitivity
- Lower = more frequent, smaller moves
- Higher = fewer, larger trend moves
- Recommended: 10-15 for intraday
Require Structure Break:
- Enabled: Only shows OTE after confirmed break
- Disabled: Shows potential OTE zones earlier
- Recommended: Enable for higher probability setups
FVG SETTINGS:
Min FVG Size: 0.1-2.0 ATR
- Lower = more gaps detected
- Higher = only significant gaps
- Recommended: 0.5 ATR for most markets
Fill Threshold: 0.1-1.0
- Determines when gap is considered "filled"
- 0.5 = 50% fill required
- Higher = more conservative
iFVG Min Size: 0.1-2.0 ATR
- Typically smaller than regular FVG
- Recommended: 0.3 ATR
ALERT SYSTEM:
Available Alerts:
- Liquidity Sweeps (Current TF)
- HTF Liquidity Sweeps
- LTF Liquidity Sweeps
- Session Changes (Open/Close)
- OTE Entry Signals
Alert Setup:
1. Enable alerts in settings
2. Select specific alert types
3. Create TradingView alert using "Any alert() function call"
4. Configure delivery method (mobile, email, webhook)
Alert Messages Include:
- Event type and direction
- Confirmation status (if using confirmed mode)
- Price level
- Timeframe (for liquidity sweeps)
───────────────────────────────────────
RECOMMENDED CONFIGURATIONS
───────────────────────────────────────
For Day Trading (15m-1H charts):
- HTF Liquidity: 4H
- LTF Liquidity: 1H
- Liquidity Lookback: 15
- Order Block Swing Length: 8
- OTE Swing Length: 10
- Confirmed Signals: Enabled, 2 bars
For Swing Trading (4H-1D charts):
- HTF Liquidity: 1D or 1W
- LTF Liquidity: 4H
- Liquidity Lookback: 20
- Order Block Swing Length: 10
- OTE Swing Length: 15
- Confirmed Signals: Enabled, 2-3 bars
For Scalping (5m-15m charts):
- HTF Liquidity: 1H or 4H
- LTF Liquidity: 15m or 1H
- Liquidity Lookback: 10-12
- Order Block Swing Length: 6-8
- OTE Swing Length: 8
- Confirmed Signals: Optional
───────────────────────────────────────
PERFORMANCE OPTIMIZATION
───────────────────────────────────────
This indicator is optimized with:
- max_bars_back declarations for efficient lookback
- Automatic memory cleanup every 10 bars
- Conditional execution based on enabled features
- Drawing object limits to prevent performance degradation
Memory Management:
- Old liquidity zones automatically removed
- Filled FVGs/iFVGs cleaned up
- Exited OTE zones removed
- Mitigated order blocks deleted
Best Practices:
- Enable only needed features
- Use appropriate timeframe combinations
- Don't display excessive historical sessions
- Monitor drawing object counts on lower timeframes
───────────────────────────────────────
EDUCATIONAL DISCLAIMER
───────────────────────────────────────
This indicator combines multiple institutional trading concepts:
- Liquidity theory (where orders accumulate)
- Order flow analysis (institutional footprints)
- Price imbalance detection (FVGs)
- Fibonacci retracement theory (OTE zones)
- Session-based trading (time-of-day patterns)
All calculations use standard technical analysis methods:
- Pivot high/low detection
- ATR-based normalization
- Volume analysis
- Fibonacci ratios
- Time-based filtering
The indicator identifies potential setups but does not predict future price movements. Success depends on proper application within a complete trading plan including risk management, position sizing, and market context analysis.
───────────────────────────────────────
USAGE DISCLAIMER
───────────────────────────────────────
This tool is for educational and analytical purposes. Trading involves substantial risk of loss. The anti-repainting features provide confirmed signals but do not guarantee profitability. Always conduct independent analysis, use proper risk management, and never risk capital you cannot afford to lose. Past performance does not indicate future results.
Support & Resistance Zones + FVG**Overview:**
This tool automatically identifies **key support and resistance levels** and highlights **Fair Value Gaps (FVGs)** on the chart. It helps traders of all levels **visualize important price areas**, spot potential market reactions, and make better-informed trading decisions.
Support and resistance zones are areas where price tends to **reverse, stall, or accelerate**, making them essential for entries, exits, and stop-loss placement. Fair Value Gaps represent rapid price movements that leave temporary imbalances, which often act as **future targets or reversal points**. Together, these features provide a **comprehensive view of market structure**.
---
## Features:
1. **Automatic Support & Resistance Detection:**
* Detects zones based on recent price action patterns:
* **Bull-to-Bear transitions** → resistance zones
* **Bear-to-Bull transitions** → support zones
* Dynamically calculates **zone heights** based on recent candle ranges, adapting to market volatility.
2. **Broken Zones & Proximity Alerts:**
* Highlights zones that have been broken, helping traders **focus on relevant levels**.
* Optional proximity alerts indicate broken zones that are **near the current price**, showing potential retests.
3. **Fair Value Gaps (FVGs):**
* Detects bullish and bearish gaps automatically.
* Options to **ignore narrow gaps** and **remove fully crossed FVGs**.
* Acts as a guide for potential **price targets or reversal areas**.
4. **Clean Chart & Customization:**
* Hides overlapping or invalid zones to reduce clutter.
* Fully adjustable inputs, including:
* Zone length
* Lookback range
* Zone height multiplier
* FVG extension
* Display and opacity settings
5. **Timeframe-Independent:**
* Works on **any chart interval**, from scalping to long-term swing charts.
---
## How It Helps Traders:
* **Identify Key Levels Automatically:**
Visualizes areas where the price has historically reacted. These zones act as **natural barriers** guiding entries and exits.
* **Spot Broken Zones:**
Broken zones may lose significance but could act as **future retest points**, helping assess trend continuation or reversal.
* **Visualize Price Gaps (FVGs):**
Gaps left by rapid price movement often act as **price magnets**, providing potential targets or reversal points.
* **Reduce Noise:**
Automatically hides overlapping or invalid zones for a **cleaner, easier-to-read chart**, highlighting only the most significant levels.
* **Adaptable to Any Trading Style:**
Useful for **swing trading, intraday trading, or scalping**, showing where buyers and sellers are most active.
---
## Practical Usage Guide:
1. **Enable Support & Resistance Zones:**
* Visualize critical price levels.
* Adjust **zone length, lookback range, and height multiplier** to fit your trading style and volatility.
2. **Enable FVGs:**
* Highlights gaps created by rapid price movements.
* Customize **minimum gap size, extension, and filtering options** to reduce chart noise.
3. **Observe Price Reactions:**
* **Bounce at support:** Potential buy opportunity.
* **Reversal at resistance:** Potential sell/short opportunity.
* **Breakout:** Watch for price breaking a zone for trend continuation trades.
4. **Risk Management:**
* Place stop-loss orders just outside zones to protect trades.
* Use broken zones as **profit targets** or areas to tighten stops.
5. **Trend Analysis:**
* Understand where buyers and sellers are concentrated.
* Identify strong trends by observing multiple zones being respected or broken.
6. **Multi-Timeframe Application:**
* Apply on different timeframes to **align short-term entries with longer-term structure**, improving trade probability.
---
## Key Inputs & Customizations:
* **Support & Resistance Zones:**
* Show/Hide Zones
* Zone Length Extend (bars)
* Loopback Range (bars)
* Zone Height Multiplier
* Hide Overlapped Zones
* Hide Broken Zones
* Ignore Last N Candles for Break Check
* Show Proximity Broken Zones
* Proximity Range for Broken Zones
* **Fair Value Gaps (FVGs):**
* Show/Hide FVGs
* Extend FVGs (bars)
* Minimum FVG Size
* Ignore Narrow FVGs
* Ignore Fully Crossed FVGs
* Up and Down Colors with Opacity
---
**Summary:**
This indicator saves **time, improves chart clarity, and highlights key market levels**. It is suitable for beginners who want to **understand market structure visually**, as well as experienced traders seeking **precise entry, exit, and target zones**. By combining support/resistance detection with Fair Value Gaps, it provides a **complete visual guide to price behavior**, helping traders make **more confident and informed decisions**.
FVG Scanner ProFVG Scanner Pro — Smart Fair Value Gap Detector (with HTF context & proximity alerts)
What it does
FVG Scanner Pro automatically finds Fair Value Gaps (FVGs) on your current chart and (optionally) on a higher timeframe (HTF), draws them as color-coded zones, and notifies you when price comes close to a gap boundary using an ADR-based proximity trigger and (optional) volume confirmation. It’s designed for ICT-style gap trading, confluence building, and clean visual execution.
How it works:
FVG definition
* Bullish FVG (gap up): low > high (the current candle’s low is above the high 2 bars ago).
* Bearish FVG (gap down): high < low (the current candle’s high is below the low 2 bars ago).
* Gaps smaller than your Min FVG Size (%) are ignored. (Gap size = (top-bottom)/bottom * 100.)
Higher-timeframe logic (auto-selected)
The script auto picks a sensible HTF:
1–5m → 15m, 15m → 1H, 1H → 4H, 4H → 1D, 1D → 1W, 1W → 1M, small 1M → 3M, big ≥3M → 12M.
You can display HTF FVGs and even filter so current-TF FVGs only show when they overlap an HTF gap.
Proximity alerts (ADR-based)
The script computes ADR on the current chart timeframe over a user-set lookback (default 20 bars).
An alert fires when price moves toward the closest actionable boundary and comes within ADR × Multiplier:
Bullish: price moving down, within distance of the bottom of a bullish FVG.
Bearish: price moving up, within distance of the top of a bearish FVG.
Yellow ▲/▼ markers show where a proximity alert triggered.
Volume filter (optional)
Require volume to be greater than SMA(20) × multiplier to accept a newly formed FVG.
Lifecycle
Each gap remains active for Extend FVG Box (Bars) bars.
You can delete the box after fill, or keep filled gaps visible as gray zones, or hide them.
Color legend
Current-TF Bullish: Pink/Magenta box
Current-TF Bearish: Cyan/Turquoise box
HTF Bullish: Gold box
HTF Bearish: Orange box
Filled (if shown): Gray box
Alert markers: Yellow ▲ (bullish), Yellow ▼ (bearish)
Inputs (what to tweak)
Show FVGs: Bullish / Bearish / Both
Max Bars Back to Find FVG: collection window & cleanup guard
Extend FVG Box (Bars): how long a zone stays tradable/active
Min FVG Size (%): ignore micro gaps
Delete Box After Fill & Show Filled FVGs: choose how you want completed gaps handled
Show Alert Markers: show/hide the yellow proximity arrows
Show Higher Timeframe FVG: overlay HTF gaps (auto TF)
HTF Filter: only display current-TF gaps that overlap an HTF gap
ADR Lookback & Proximity Multiplier: tune alert sensitivity to your market & timeframe
Volume Filter & Volume > MA Multiple: require above-average volume for new gaps
Built-in alerts (ready to use)
Create alerts in TradingView (⚠️ “Once per bar” or “Once per bar close”, your choice) and select from:
🟢 Bullish FVG Proximity — price approaching a bullish gap bottom
🔴 Bearish FVG Proximity — price approaching a bearish gap top
✅ New Bullish FVG Formed
⚠️ New Bearish FVG Formed
The alert messages include the symbol and price; proximity markers are also plotted on chart.
Tips & best practices
Use FVGs with market structure (break of structure, swing points), order blocks, or liquidity pools for confluence.
On very low timeframes, raise Min FVG Size and/or lower Max Bars Back to reduce noise and keep things fast.
Extend FVG Box controls how long a zone is considered valid; align it with your holding horizon (scalp vs swing).
Information panel (top-right)
Shows your mode, current HTF, number of gaps in memory, active bull/bear counts, and current-TF ADR.
Indre likviditetDescription:
The Indre Likviditet (Inner Liquidity) indicator automatically detects and visualizes liquidity gaps / imbalance zones (often referred to as Fair Value Gaps) on any timeframe. It highlights price inefficiencies where the market moved too quickly in one direction, leaving untested areas of liquidity.
Key Features:
• Gap detection: Identifies bullish and bearish liquidity gaps based on three-candle logic.
• Multi-timeframe (MTF) mode: Option to detect gaps on the current timeframe, higher timeframe, or both simultaneously.
• Custom visuals: Bullish and bearish gaps are displayed as colored boxes, with optional midpoint lines. Colors for HTF vs current TF can be customized separately.
• Dynamic updates: Gaps shrink automatically as price partially retraces into them, and can be fully deleted when filled.
• Flexible fill logic: Choose whether gaps are considered “filled” once the midpoint is touched, or only on a complete fill.
• Labeling: Optional labels show which timeframe the gap belongs to.
• Auto-clean: Option to delete old gaps once filled, or keep them as historical references.
Use Case:
This tool helps traders quickly spot where imbalances exist in the market and track when they are filled. Liquidity gaps often act as magnets for price, making them useful areas for targeting entries, exits, or managing risk.
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
Max Value Gap [MOT]📊 Max Value Gap — Intraday Fill Zones + Stats Dashboard
Max Value Gap is a real-time gap fill detection system that visualizes institutional-style intraday price inefficiencies on major indices like SPX and NDX. Built for scalpers and short-term traders, it helps identify prime reversal areas where price is likely to return — often within the same session.
This script tracks U.S. regular market hour gaps only (9:30 AM to 4:00 PM ET) and is designed for high-precision execution on the 1-minute chart.
🧠 What Is an SPX Intraday Gap?
An SPX intraday gap occurs when the market creates a void between candles due to rapid price movement — often following volatility spikes, liquidation breaks, or aggressive buyer/seller imbalances. These unfilled zones act like magnetic targets, drawing price back into them as liquidity rebalances.
Unlike overnight gaps, these are formed and resolved within the same session, making them ideal for intraday strategies.
🔍 Key Features
✅ 1. Automatic Gap Detection
Scans only during official U.S. equity market hours (9:30 AM – 4:00 PM EST)
Gap Up: A green candle opens above the previous high
Gap Down: A red candle opens below the previous low
Each valid gap is outlined using colored boxes:
🟩 Green Box = Gap Up
🟥 Red Box = Gap Down
📸 Image : Chart with both green and red boxes marking gaps on SPX.
✅ 2. Dynamic Gap Zone Tracking
Once a gap is identified, the box extends forward until price fills the zone
A gap is considered filled when:
Price trades back into the gap zone
For gap ups: price crosses below the bottom of the gap
For gap downs: price crosses above the top of the gap
Users have the option to auto-delete filled boxes for clarity
📸 Image: Chart with price re-entering and completing a gap fill with box extending only until that point.
✅ 3. Real-Time Statistics Table
Located in the bottom-right of your chart, the built-in dashboard shows:
Total gaps formed
Gaps filled intraday
Gaps filled same day
Percentages of successful fills
📸 Image: Picture of statistics table
This live table helps assess whether the current day’s gaps are behaving in line with historical probabilities — no guesswork required.
🔄 Futures Execution Strategy
While the gaps are plotted on the SPX (or index) chart, the actual trades are taken on MNQ, NQ, or ES, using the gap levels as entry targets.
Sample Trading Flow:
A gap down forms on SPX at 1:45 PM (EST)
Price starts showing reversal signs back toward the gap
Enter long MNQ or NQ targeting a move into the gap zone
Take profit once price fully fills the zone
Repeat throughout the session — trend or chop, gaps are a magnet
This method mirrors institutional mean reversion techniques, capitalizing on market inefficiencies without chasing momentum.
📸 SPX Gap Being Filled with Corresponding MNQ Move Overlay
✅ Best Practices
Works best during morning session volatility (9:30–11:30 AM ET)
Combine with reversal candles or momentum tools for high-quality entries
Avoid during low-volume lunch chop unless tracking larger gap zones
Use on SPX while executing trades on MNQ/NQ/ES
⚠️ Disclaimer
This script is provided for educational and informational purposes only. It does not offer investment advice or trade signals. Past performance does not guarantee future results. Use appropriate risk management. Redistribution or resale is strictly prohibited.
HTF POI [TakingProphets]HTF POI – Higher Timeframe Points of Interest Detection
The HTF POI Indicator by Taking Prophets is designed for traders following ICT (Inner Circle Trader) concepts and smart money principles. This tool automatically detects higher timeframe (HTF) points of interest (POIs) such as Fair Value Gaps (FVGs), Inverse Fair Value Gaps (IFVGs), and Consequent Encroachment (CE) levels, helping traders spot high-probability trading zones used by institutions.
🔹 Key Features:
✅ Automatic Detection of FVGs & IFVGs – Identifies key price inefficiencies across multiple timeframes.
✅ Multi-Timeframe Analysis – Detect POIs on the current timeframe and up to five higher timeframes (HTF1 to HTF5).
✅ Customizable Sensitivity – Adjust detection settings to High, Medium, or Low based on price gap size.
✅ Fair Value Gap (FVG) Encroachment Lines – Optional midpoint levels to track potential price rebalancing.
✅ Volume Display Option – View volume within detected FVGs for additional confluence.
✅ Inverse Fair Value Gaps (IFVGs) – Tracks invalidated gaps that turn into new liquidity pools.
✅ Works Across All Markets – Ideal for Forex, Futures, Stocks, and Crypto.
🔹 How It Works:
📌 Fair Value Gaps (FVGs) – Price inefficiencies caused by fast institutional moves that often get revisited.
📌 Bullish FVGs (BISI) – Formed when price gaps up, creating a demand zone where price may return.
📌 Bearish FVGs (SIBI) – Formed when price gaps down, acting as a supply zone for potential reversals.
📌 Inverse Fair Value Gaps (IFVGs) – Previously unfilled FVGs that get mitigated and act as liquidity pools.
📌 Consequent Encroachment (CE) – The 50% midpoint of an FVG, where price often reacts.
📌 Multi-Timeframe Integration – Tracks higher timeframe gaps for confluence with lower timeframe setups.
🔹 How to Use:
Identify FVG zones for potential entries or exits in alignment with smart money concepts.
Use Consequent Encroachment (CE) levels to confirm reactions at the 50% level of an FVG.
Watch for IFVGs as they provide new liquidity pools after FVGs are invalidated.
Combine with CHoCH/BOS market structure shifts and Order Blocks for higher-probability trades.
🚀 Refine your trade entries with precision using the HTF POI Indicator by Taking Prophets!
Request█ OVERVIEW
This library is a tool for Pine Script™ programmers that consolidates access to a wide range of lesser-known data feeds available on TradingView, including metrics from the FRED database, FINRA short sale volume, open interest, and COT data. The functions in this library simplify requests for these data feeds, making them easier to retrieve and use in custom scripts.
█ CONCEPTS
Federal Reserve Economic Data (FRED)
FRED (Federal Reserve Economic Data) is a comprehensive online database curated by the Federal Reserve Bank of St. Louis. It provides free access to extensive economic and financial data from U.S. and international sources. FRED includes numerous economic indicators such as GDP, inflation, employment, and interest rates. Additionally, it provides financial market data, regional statistics, and international metrics such as exchange rates and trade balances.
Sourced from reputable organizations, including U.S. government agencies, international institutions, and other public and private entities, FRED enables users to analyze over 825,000 time series, download their data in various formats, and integrate their information into analytical tools and programming workflows.
On TradingView, FRED data is available from ticker identifiers with the "FRED:" prefix. Users can search for FRED symbols in the "Symbol Search" window, and Pine scripts can retrieve data for these symbols via `request.*()` function calls.
FINRA Short Sale Volume
FINRA (the Financial Industry Regulatory Authority) is a non-governmental organization that supervises and regulates U.S. broker-dealers and securities professionals. Its primary aim is to protect investors and ensure integrity and transparency in financial markets.
FINRA's Short Sale Volume data provides detailed information about daily short-selling activity across U.S. equity markets. This data tracks the volume of short sales reported to FINRA's trade reporting facilities (TRFs), including shares sold on FINRA-regulated Alternative Trading Systems (ATSs) and over-the-counter (OTC) markets, offering transparent access to short-selling information not typically available from exchanges. This data helps market participants, researchers, and regulators monitor trends in short-selling and gain insights into bearish sentiment, hedging strategies, and potential market manipulation. Investors often use this data alongside other metrics to assess stock performance, liquidity, and overall trading activity.
It is important to note that FINRA's Short Sale Volume data does not consolidate short sale information from public exchanges and excludes trading activity that is not publicly disseminated.
TradingView provides ticker identifiers for requesting Short Sale Volume data with the format "FINRA:_SHORT_VOLUME", where "" is a supported U.S. equities symbol (e.g., "AAPL").
Open Interest (OI)
Open interest is a cornerstone indicator of market activity and sentiment in derivatives markets such as options or futures. In contrast to volume, which measures the number of contracts opened or closed within a period, OI measures the number of outstanding contracts that are not yet settled. This distinction makes OI a more robust indicator of how money flows through derivatives, offering meaningful insights into liquidity, market interest, and trends. Many traders and investors analyze OI alongside volume and price action to gain an enhanced perspective on market dynamics and reinforce trading decisions.
TradingView offers many ticker identifiers for requesting OI data with the format "_OI", where "" represents a derivative instrument's ticker ID (e.g., "COMEX:GC1!").
Commitment of Traders (COT)
Commitment of Traders data provides an informative weekly breakdown of the aggregate positions held by various market participants, including commercial hedgers, non-commercial speculators, and small traders, in the U.S. derivative markets. Tallied and managed by the Commodity Futures Trading Commission (CFTC) , these reports provide traders and analysts with detailed insight into an asset's open interest and help them assess the actions of various market players. COT data is valuable for gaining a deeper understanding of market dynamics, sentiment, trends, and liquidity, which helps traders develop informed trading strategies.
TradingView has numerous ticker identifiers that provide access to time series containing data for various COT metrics. To learn about COT ticker IDs and how they work, see our LibraryCOT publication.
█ USING THE LIBRARY
Common function characteristics
• This library's functions construct ticker IDs with valid formats based on their specified parameters, then use them as the `symbol` argument in request.security() to retrieve data from the specified context.
• Most of these functions automatically select the timeframe of a data request because the data feeds are not available for all timeframes.
• All the functions have two overloads. The first overload of each function uses values with the "simple" qualifier to define the requested context, meaning the context does not change after the first script execution. The second accepts "series" values, meaning it can request data from different contexts across executions.
• The `gaps` parameter in most of these functions specifies whether the returned data is `na` when a new value is unavailable for request. By default, its value is `false`, meaning the call returns the last retrieved data when no new data is available.
• The `repaint` parameter in applicable functions determines whether the request can fetch the latest unconfirmed values from a higher timeframe on realtime bars, which might repaint after the script restarts. If `false`, the function only returns confirmed higher-timeframe values to avoid repainting. The default value is `true`.
`fred()`
The `fred()` function retrieves the most recent value of a specified series from the Federal Reserve Economic Data (FRED) database. With this function, programmers can easily fetch macroeconomic indicators, such as GDP and unemployment rates, and use them directly in their scripts.
How it works
The function's `fredCode` parameter accepts a "string" representing the unique identifier of a specific FRED series. Examples include "GDP" for the "Gross Domestic Product" series and "UNRATE" for the "Unemployment Rate" series. Over 825,000 codes are available. To access codes for available series, search the FRED website .
The function adds the "FRED:" prefix to the specified `fredCode` to construct a valid FRED ticker ID (e.g., "FRED:GDP"), which it uses in request.security() to retrieve the series data.
Example Usage
This line of code requests the latest value from the Gross Domestic Product series and assigns the returned value to a `gdpValue` variable:
float gdpValue = fred("GDP")
`finraShortSaleVolume()`
The `finraShortSaleVolume()` function retrieves EOD data from a FINRA Short Sale Volume series. Programmers can call this function to retrieve short-selling information for equities listed on supported exchanges, namely NASDAQ, NYSE, and NYSE ARCA.
How it works
The `symbol` parameter determines which symbol's short sale volume information is retrieved by the function. If the value is na , the function requests short sale volume data for the chart's symbol. The argument can be the name of the symbol from a supported exchange (e.g., "AAPL") or a ticker ID with an exchange prefix ("NASDAQ:AAPL"). If the `symbol` contains an exchange prefix, it must be one of the following: "NASDAQ", "NYSE", "AMEX", or "BATS".
The function constructs a ticker ID in the format "FINRA:ticker_SHORT_VOLUME", where "ticker" is the symbol name without the exchange prefix (e.g., "AAPL"). It then uses the ticker ID in request.security() to retrieve the available data.
Example Usage
This line of code retrieves short sale volume for the chart's symbol and assigns the result to a `shortVolume` variable:
float shortVolume = finraShortSaleVolume(syminfo.tickerid)
This example requests short sale volume for the "NASDAQ:AAPL" symbol, irrespective of the current chart:
float shortVolume = finraShortSaleVolume("NASDAQ:AAPL")
`openInterestFutures()` and `openInterestCrypto()`
The `openInterestFutures()` function retrieves EOD open interest (OI) data for futures contracts. The `openInterestCrypto()` function provides more granular OI data for cryptocurrency contracts.
How they work
The `openInterestFutures()` function retrieves EOD closing OI information. Its design is focused primarily on retrieving OI data for futures, as only EOD OI data is available for these instruments. If the chart uses an intraday timeframe, the function requests data from the "1D" timeframe. Otherwise, it uses the chart's timeframe.
The `openInterestCrypto()` function retrieves opening, high, low, and closing OI data for a cryptocurrency contract on a specified timeframe. Unlike `openInterest()`, this function can also retrieve granular data from intraday timeframes.
Both functions contain a `symbol` parameter that determines the symbol for which the calls request OI data. The functions construct a valid OI ticker ID from the chosen symbol by appending "_OI" to the end (e.g., "CME:ES1!_OI").
The `openInterestFutures()` function requests and returns a two-element tuple containing the futures instrument's EOD closing OI and a "bool" condition indicating whether OI is rising.
The `openInterestCrypto()` function requests and returns a five-element tuple containing the cryptocurrency contract's opening, high, low, and closing OI, and a "bool" condition indicating whether OI is rising.
Example usage
This code line calls `openInterest()` to retrieve EOD OI and the OI rising condition for a futures symbol on the chart, assigning the values to two variables in a tuple:
= openInterestFutures(syminfo.tickerid)
This line retrieves the EOD OI data for "CME:ES1!", irrespective of the current chart's symbol:
= openInterestFutures("CME:ES1!")
This example uses `openInterestCrypto()` to retrieve OHLC OI data and the OI rising condition for a cryptocurrency contract on the chart, sampled at the chart's timeframe. It assigns the returned values to five variables in a tuple:
= openInterestCrypto(syminfo.tickerid, timeframe.period)
This call retrieves OI OHLC and rising information for "BINANCE:BTCUSDT.P" on the "1D" timeframe:
= openInterestCrypto("BINANCE:BTCUSDT.P", "1D")
`commitmentOfTraders()`
The `commitmentOfTraders()` function retrieves data from the Commitment of Traders (COT) reports published by the Commodity Futures Trading Commission (CFTC). This function significantly simplifies the COT request process, making it easier for programmers to access and utilize the available data.
How It Works
This function's parameters determine different parts of a valid ticker ID for retrieving COT data, offering a streamlined alternative to constructing complex COT ticker IDs manually. The `metricName`, `metricDirection`, and `includeOptions` parameters are required. They specify the name of the reported metric, the direction, and whether it includes information from options contracts.
The function also includes several optional parameters. The `CFTCCode` parameter allows programmers to request data for a specific report code. If unspecified, the function requests data based on the chart symbol's root prefix, base currency, or quoted currency, depending on the `mode` argument. The call can specify the report type ("Legacy", "Disaggregated", or "Financial") and metric type ("All", "Old", or "Other") with the `typeCOT` and `metricType` parameters.
Explore the CFTC website to find valid report codes for specific assets. To find detailed information about the metrics included in the reports and their meanings, see the CFTC's Explanatory Notes .
View the function's documentation below for detailed explanations of its parameters. For in-depth information about COT ticker IDs and more advanced functionality, refer to our previously published COT library .
Available metrics
Different COT report types provide different metrics . The tables below list all available metrics for each type and their applicable directions:
+------------------------------+------------------------+
| Legacy (COT) Metric Names | Directions |
+------------------------------+------------------------+
| Open Interest | No direction |
| Noncommercial Positions | Long, Short, Spreading |
| Commercial Positions | Long, Short |
| Total Reportable Positions | Long, Short |
| Nonreportable Positions | Long, Short |
| Traders Total | No direction |
| Traders Noncommercial | Long, Short, Spreading |
| Traders Commercial | Long, Short |
| Traders Total Reportable | Long, Short |
| Concentration Gross LT 4 TDR | Long, Short |
| Concentration Gross LT 8 TDR | Long, Short |
| Concentration Net LT 4 TDR | Long, Short |
| Concentration Net LT 8 TDR | Long, Short |
+------------------------------+------------------------+
+-----------------------------------+------------------------+
| Disaggregated (COT2) Metric Names | Directions |
+-----------------------------------+------------------------+
| Open Interest | No Direction |
| Producer Merchant Positions | Long, Short |
| Swap Positions | Long, Short, Spreading |
| Managed Money Positions | Long, Short, Spreading |
| Other Reportable Positions | Long, Short, Spreading |
| Total Reportable Positions | Long, Short |
| Nonreportable Positions | Long, Short |
| Traders Total | No Direction |
| Traders Producer Merchant | Long, Short |
| Traders Swap | Long, Short, Spreading |
| Traders Managed Money | Long, Short, Spreading |
| Traders Other Reportable | Long, Short, Spreading |
| Traders Total Reportable | Long, Short |
| Concentration Gross LE 4 TDR | Long, Short |
| Concentration Gross LE 8 TDR | Long, Short |
| Concentration Net LE 4 TDR | Long, Short |
| Concentration Net LE 8 TDR | Long, Short |
+-----------------------------------+------------------------+
+-------------------------------+------------------------+
| Financial (COT3) Metric Names | Directions |
+-------------------------------+------------------------+
| Open Interest | No Direction |
| Dealer Positions | Long, Short, Spreading |
| Asset Manager Positions | Long, Short, Spreading |
| Leveraged Funds Positions | Long, Short, Spreading |
| Other Reportable Positions | Long, Short, Spreading |
| Total Reportable Positions | Long, Short |
| Nonreportable Positions | Long, Short |
| Traders Total | No Direction |
| Traders Dealer | Long, Short, Spreading |
| Traders Asset Manager | Long, Short, Spreading |
| Traders Leveraged Funds | Long, Short, Spreading |
| Traders Other Reportable | Long, Short, Spreading |
| Traders Total Reportable | Long, Short |
| Concentration Gross LE 4 TDR | Long, Short |
| Concentration Gross LE 8 TDR | Long, Short |
| Concentration Net LE 4 TDR | Long, Short |
| Concentration Net LE 8 TDR | Long, Short |
+-------------------------------+------------------------+
Example usage
This code line retrieves "Noncommercial Positions (Long)" data, without options information, from the "Legacy" report for the chart symbol's root, base currency, or quote currency:
float nonCommercialLong = commitmentOfTraders("Noncommercial Positions", "Long", false)
This example retrieves "Managed Money Positions (Short)" data, with options included, from the "Disaggregated" report:
float disaggregatedData = commitmentOfTraders("Managed Money Positions", "Short", true, "", "Disaggregated")
█ NOTES
• This library uses dynamic requests , allowing dynamic ("series") arguments for the parameters defining the context (ticker ID, timeframe, etc.) of a `request.*()` function call. With this feature, a single `request.*()` call instance can flexibly retrieve data from different feeds across historical executions. Additionally, scripts can use such calls in the local scopes of loops, conditional structures, and even exported library functions, as demonstrated in this script. All scripts coded in Pine Script™ v6 have dynamic requests enabled by default. To learn more about the behaviors and limitations of this feature, see the Dynamic requests section of the Pine Script™ User Manual.
• The library's example code offers a simple demonstration of the exported functions. The script retrieves available data using the function specified by the "Series type" input. The code requests a FRED series or COT (Legacy), FINRA Short Sale Volume, or Open Interest series for the chart's symbol with specific parameters, then plots the retrieved data as a step-line with diamond markers.
Look first. Then leap.
█ EXPORTED FUNCTIONS
This library exports the following functions:
fred(fredCode, gaps)
Requests a value from a specified Federal Reserve Economic Data (FRED) series. FRED is a comprehensive source that hosts numerous U.S. economic datasets. To explore available FRED datasets and codes, search for specific categories or keywords at fred.stlouisfed.org Calls to this function count toward a script's `request.*()` call limit.
Parameters:
fredCode (series string) : The unique identifier of the FRED series. The function uses the value to create a valid ticker ID for retrieving FRED data in the format `"FRED:fredCode"`. For example, `"GDP"` refers to the "Gross Domestic Product" series ("FRED:GDP"), and `"GFDEBTN"` refers to the "Federal Debt: Total Public Debt" series ("FRED:GFDEBTN").
gaps (simple bool) : Optional. If `true`, the function returns a non-na value only when a new value is available from the requested context. If `false`, the function returns the latest retrieved value when new data is unavailable. The default is `false`.
Returns: (float) The value from the requested FRED series.
finraShortSaleVolume(symbol, gaps, repaint)
Requests FINRA daily short sale volume data for a specified symbol from one of the following exchanges: NASDAQ, NYSE, NYSE ARCA. If the chart uses an intraday timeframe, the function requests data from the "1D" timeframe. Otherwise, it uses the chart's timeframe. Calls to this function count toward a script's `request.*()` call limit.
Parameters:
symbol (series string) : The symbol for which to request short sale volume data. If the specified value contains an exchange prefix, it must be one of the following: "NASDAQ", "NYSE", "AMEX", "BATS".
gaps (simple bool) : Optional. If `true`, the function returns a non-na value only when a new value is available from the requested context. If `false`, the function returns the latest retrieved value when new data is unavailable. The default is `false`.
repaint (simple bool) : Optional. If `true` and the chart's timeframe is intraday, the value requested on realtime bars may change its time offset after the script restarts its executions. If `false`, the function returns the last confirmed period's values to avoid repainting. The default is `true`.
Returns: (float) The short sale volume for the specified symbol or the chart's symbol.
openInterestFutures(symbol, gaps, repaint)
Requests EOD open interest (OI) and OI rising information for a valid futures symbol. If the chart uses an intraday timeframe, the function requests data from the "1D" timeframe. Otherwise, it uses the chart's timeframe. Calls to this function count toward a script's `request.*()` call limit.
Parameters:
symbol (series string) : The symbol for which to request open interest data.
gaps (simple bool) : Optional. If `true`, the function returns non-na values only when new values are available from the requested context. If `false`, the function returns the latest retrieved values when new data is unavailable. The default is `false`.
repaint (simple bool) : Optional. If `true` and the chart's timeframe is intraday, the value requested on realtime bars may change its time offset after the script restarts its executions. If `false`, the function returns the last confirmed period's values to avoid repainting. The default is `true`.
Returns: ( ) A tuple containing the following values:
- The closing OI value for the symbol.
- `true` if the closing OI is above the previous period's value, `false` otherwise.
openInterestCrypto(symbol, timeframe, gaps, repaint)
Requests opening, high, low, and closing open interest (OI) data and OI rising information for a valid cryptocurrency contract on a specified timeframe. Calls to this function count toward a script's `request.*()` call limit.
Parameters:
symbol (series string) : The symbol for which to request open interest data.
timeframe (series string) : The timeframe of the data request. If the timeframe is lower than the chart's timeframe, it causes a runtime error.
gaps (simple bool) : Optional. If `true`, the function returns non-na values only when new values are available from the requested context. If `false`, the function returns the latest retrieved values when new data is unavailable. The default is `false`.
repaint (simple bool) : Optional. If `true` and the `timeframe` represents a higher timeframe, the function returns unconfirmed values from the timeframe on realtime bars, which repaint when the script restarts its executions. If `false`, it returns only confirmed higher-timeframe values to avoid repainting. The default is `true`.
Returns: ( ) A tuple containing the following values:
- The opening, high, low, and closing OI values for the symbol, respectively.
- `true` if the closing OI is above the previous period's value, `false` otherwise.
commitmentOfTraders(metricName, metricDirection, includeOptions, CFTCCode, typeCOT, mode, metricType)
Requests Commitment of Traders (COT) data with specified parameters. This function provides a simplified way to access CFTC COT data available on TradingView. Calls to this function count toward a script's `request.*()` call limit. For more advanced tools and detailed information about COT data, see TradingView's LibraryCOT library.
Parameters:
metricName (series string) : One of the valid metric names listed in the library's documentation and source code.
metricDirection (series string) : Metric direction. Possible values are: "Long", "Short", "Spreading", and "No direction". Consult the library's documentation or code to see which direction values apply to the specified metric.
includeOptions (series bool) : If `true`, the COT symbol includes options information. Otherwise, it does not.
CFTCCode (series string) : Optional. The CFTC code for the asset. For example, wheat futures (root "ZW") have the code "001602". If one is not specified, the function will attempt to get a valid code for the chart symbol's root, base currency, or main currency.
typeCOT (series string) : Optional. The type of report to request. Possible values are: "Legacy", "Disaggregated", "Financial". The default is "Legacy".
mode (series string) : Optional. Specifies the information the function extracts from a symbol. Possible modes are:
- "Root": The function extracts the futures symbol's root prefix information (e.g., "ES" for "ESH2020").
- "Base currency": The function extracts the first currency from a currency pair (e.g., "EUR" for "EURUSD").
- "Currency": The function extracts the currency of the symbol's quoted values (e.g., "JPY" for "TSE:9984" or "USDJPY").
- "Auto": The function tries the first three modes (Root -> Base currency -> Currency) until it finds a match.
The default is "Auto". If the specified mode is not available for the symbol, it causes a runtime error.
metricType (series string) : Optional. The metric type. Possible values are: "All", "Old", "Other". The default is "All".
Returns: (float) The specified Commitment of Traders data series. If no data is available, it causes a runtime error.
Fair Value Gap [UkutaLabs]█ OVERVIEW
Fair Value Gaps are price jumps caused by the imbalance buying and selling pressures in trading and are most commonly used amongst price action traders. Fair Value Gaps are formed via a three-candle sequence in which a large candle’s neighbouring candles’ upper and lower wicks do not fully overlap the large candle.
The Fair Value Gaps Indicator also supports Multi Time Frame Plotting, allowing you to plot the Fair Value Gaps from higher time frames onto lower time frame charts.
The Fair Value Gaps Indicator is a powerful trading toolkit that provides users with more information than they would typically have available to them by allowing them to configure several charts worth of information onto one single chart.
█ USAGE
The script automatically identifies imbalances between buying and selling pressure in the market in real time, offering traders valuable insight into current market sentiment. These gaps are considered to be levels where the supply and demand of a commodity are imbalanced, and the price tends to return to fill these gaps (But are not guaranteed to).
The Fair Value Gaps Indicator also allows gaps from higher time frames to be drawn on lower time frame charts, providing traders with more information than they would typically have access to to further simplify the decision making process.
█ SETTINGS
Configuration
• Show Labels: Determines whether labels that identify which time frame a FVG is calculated from.
• Max FVG Display: Determines the limit to the number of FVGs that can be drawn from all time frames. Set this value to 0 to remove this limit.
Current Time Frame
• Display: Determines whether or not FVGs from the current time frame will be drawn on the chart.
• Bullish Color: Determines the color of Bullish FVGs calculated from the current time frame.
• Bearish Color: Determines the color of Bearish FVGs calculated from the current time frame.
5 Minute (Higher Time Frame)
• Display: Determines whether or not FVGs from the 5 minute time frame will be drawn on the chart.
• Bullish Color: Determines the color of Bullish FVGs calculated from the 5 minute time frame.
• Bearish Color: Determines the color of Bearish FVGs calculated from the 5 minute time frame.
15 Minute (Higher Time Frame)
• Display: Determines whether or not FVGs from the 15 minute time frame will be drawn on the chart.
• Bullish Color: Determines the color of Bullish FVGs calculated from the 15 minute time frame.
• Bearish Color: Determines the color of Bearish FVGs calculated from the 15 minute time frame.
30 Minute (Higher Time Frame)
• Display: Determines whether or not FVGs from the 30 minute time frame will be drawn on the chart.
• Bullish Color: Determines the color of Bullish FVGs calculated from the 30 minute time frame.
• Bearish Color: Determines the color of Bearish FVGs calculated from the 30 minute time frame.
60 Minute (Higher Time Frame)
• Display: Determines whether or not FVGs from the 60 minute time frame will be drawn on the chart.
• Bullish Color: Determines the color of Bullish FVGs calculated from the 60 minute time frame.
• Bearish Color: Determines the color of Bearish FVGs calculated from the 60 minute time frame.
240 Minute (Higher Time Frame)
• Display: Determines whether or not FVGs from the 240 minute time frame will be drawn on the chart.
• Bullish Color: Determines the color of Bullish FVGs calculated from the 240 minute time frame.
• Bearish Color: Determines the color of Bearish FVGs calculated from the 240 minute time frame.
Daily (Higher Time Frame)
• Display: Determines whether or not FVGs from the daily time frame will be drawn on the chart.
• Bullish Color: Determines the color of Bullish FVGs calculated from the daily time frame.
• Bearish Color: Determines the color of Bearish FVGs calculated from the daily time frame.
FVG Breakaway/3rd Candle (Arjo) [MK]Simple script to identify FVGs (Fair Value Gaps) on the current chart timeframe. The script differs from other FVG indicators on the Tradingview platform by using Arjos 3rd candle rule to identify which gaps are 'Breakway Gaps' and which Gaps are likely to be returned to.
NOTE: As with all 'trading rules' this theory is not 100% accurate.
default settings:
Breakaway Gaps = YELLOW
Gaps that price may return to = GREEN
Mitigated Gaps = 100% TRANSPARENT
What is a FVG:
A FVG is a price area defined by a 3 candle pattern. For a bullish FVG, the low of the 3rd candle must be higher than the high of the 1st candle. This then leaves an area that is drawn as in the example below:
A bearish FVG is defined by the high of the 3rd candle being lower than the low of the 1st candle, as shown in the example below:
FVGs can act like magnets where price will either retrace to or reach for, therefore they can be used as entry points and also for take profit target levels.
If for example, a trader would like to use an FVG for an entry, it would be useful to know which FVGs are more likely for price to re-enter and which FVG will be left un-touched. FVGs that are likely to be left un-touched by price are called 'Breakaway Gaps'.
How do we define a 'Breakaway Gap':
First we identify FVGs using the rules stated above, then we look to see where the 3rd candle closed in relation to the 2nd candle. For a bullish 'Breakaway Gap' we want to see the 3rd candle close above the high of the 2nd candle. An example of a bullish Breakaway Gap is shown in the example below:
A bearish 'Breakaway Gap' is defined by the close of the 3rd candle being lower than the low of the 2nd candle. An example is shown below:
How do we define an FVG that price may return to:
Any gap that does not meet the above rules for a 'Breakway Gap' is therefore considered an FVG that price may return to. So for a bullish FVG that price may return to we would look to see if the close of the 3rd candle is above the high of the 2nd candle. If it is not above the high of the 2nd candle then it more likely that price will retrace into the FVG before continuing higher. An example is shown below:
A bearish gap that price may return to is defined by the close of the 3rd candle not being lower than the low of the 2nd candle. An example is shown below:
The indicator is based on the teachings of 'Arjo'. Note: breakaway gaps will only remain 'breakaway' until a liquidity level is reached. Breakaways therefore do not remain 'breakaway' forever. Users of the indicators must fully comprehend this theory before using the indicator with live markets.
Users of the script should be fully aware of this concept and also have conducted thorough backtesting using a large data set before using this indicator with live accounts.
PAT Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Price Action Toolkit (PAT) Screener! This screener can spot trading opportunities that Price Action Toolkit offers across 8 different tickers! We believe that this screener will help you take a glimpse of the current state of the market much easier.
Features of the new Price Action Toolkit (PAT) Screener :
Finds Latest Across 8 Tickers:
Order Blocks
Breaker Blocks
Fair Value Gaps (FVG)
Inversion FVGs
Market Structures (BOS, CHoCH, CHoCH+)
Liquidity Zones
Liquidity Grabs
Premium / Discount Zones
Shows Additional Information Like :
Strength
Retests
(Bullish & Bearish) Volume
Consumption
Also :
All Features Support Tuning
Customizable Theme
📌 HOW DOES IT WORK ?
1. Order Blocks
Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific formations on the chart.
The high & low volume of order blocks should be taken into consideration while determining their strengths. The determination of the high & low volume of order blocks are similar to FVGs, in a bullish order block, the high volume is the last 2 bars' total volume, while the low volume is the oldest bar's volume. In a bearish order block scenario, the low volume becomes the last 2 bars' total volume.
2. Breaker Blocks
Breaker blocks form when an order block fails, or "breaks". It is often associated with market going in the opposite direction of the broken order block, and they can be spotted by following order blocks and finding the point they get broken, i.e. price goes below a bullish order block.
The volume of a breaker block is simply the total volume of the bar that the original order block is broken. Often the higher the breaking bar's volume, the stronger the breaker block is.
The strength of Order & Breaker Blocks are calculated by the size of the block to the Average True Range (ATR) of the chart.
3. Fair Value Gaps
Fair value gaps often occur when there is an imbalance in the market, and can be spotted with a specific formation on the chart.
The volume when the FVG occurs plays an important role when determining the strength of it, so we've placed two bars on the FVG zone, indicating the high & low volumes of the FVG. The high volume is the total volume of the last two bars on a bullish FVG, while the low volume is - of the FVG. For a bearish FVG, the total volume of the last two bars is the low volume. The indicator can also detect FVGs that exist in other timeframes than the current chart.
4. Inversion Fair Value Gaps
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. An Inverse Fair Value Gap is when a FVG becomes invalidated, thus reversing the direction of the FVG.
IFVGs get consumed when a Close / Wick enters the IFVG zone. Check this example:
5. Market Structures
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
The number of times the chart recently had a BOS is displayed between brackets, Ex : (3)
6. Liquidity Zones
Buyside & Sellside Liquidity zones are where most traders place their take-profits and stop-losses in their long / short positions. They are spotted by using high & low pivot points on the chart.
7. Liquidity Grabs
Liquidity grabs occur when one of the latest pivots has a false breakout. Then, if the wick to body ratio of the bar is higher than 0.5 (can be changed from the settings) a liquidity grab has occurred.
8. Premium & Discount Zones
The premium zone is a zone that is over the fair value of the asset's price, and the discount zone is the opposite. They are formed by the latest high & low pivot points.
If the latest close price is outside the Premium or Discount zone, you will see "Premium ⬆️" or "Discount ⬇️". These mean that the price is currently higher than the premium zone or lower than the discount zone.
🚩UNIQUENESS
This screener offers a comprehensive dashboard for traders, combining multiple analytical elements with customizable settings to aid in decision-making across different tickers and timeframes. We believe that this will help traders spot trading opportunities much easier by providing crucial information in a single dashboard. Our new screener contains of common elements like Order & Breaker Blocks, Fair Value Gaps & IFVGs as well as rather unique elements like Liquidity Grabs . With the use of up to 8 tickers & timeframes , you can easily take a look at the bigger picture of the market. We recommend reading the "How Does It Work" section of the description to get a better understanding about how this indicator is unique to others.
⚙️SETTINGS
1. Tickers
You can set up to 8 tickers for the screener to scan here. You can also enable / disable them and set their individual timeframes.
You can enable / disable Retests, Strength, Consumption and (Bullish & Bearish) Volume for :
Order Blocks (Retests, Strength, Bullish & Bearish Volume)
Breaker Blocks (Retests, Strength, Volume)
Fair Value Gaps (Retests, Consumption, Strength, Bullish & Bearish Volume)
Inversion Fair Value Gaps (Retests, Consumption, Strength, Volume)
2. Order Blocks
Enabled -> Enables / Disables Order Blocks
Zone Invalidation -> Select between Wick & Close price for Order Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
3. Breaker Blocks
Enabled -> Enables / Disables Breaker Blocks
Zone Invalidation -> Select between Wick & Close price for Breaker Block Invalidation.
4. Fair Value Gaps
Enabled -> Enables / Disables Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivities resulting in spotting bigger FVGs, and higher sensitivities resulting in spotting all sizes of FVGs.
5. Inversion Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for IFVG Zone Invalidation. This setting also switches the type for IFVG consumption.
6. Market Structures
Break Of Structure (BOS) -> If the current structure of the market is broken in a bullish or bearish direction, it will be displayed.
Change Of Character (CHoCH) -> If the market shifts into another direction, it will be displayed.
Change Of Character+ (CHoCH+) -> This will display Change Of Characters detected with higher sensitivity if enabled.
7. Liquidity Zones
Buyside Liquidity -> Enables / Disables Buyside Liquidity
Sellside Liquidity -> Enables / Disables Sellside Liquidity
8. Liquidity Grabs
Pivot Length -> This setting determines the range of the pivots. This means a candle has to have the highest / lowest wick of the previous X bars and the next X bars to become a high / low pivot.
Wick-Body Ratio -> After a pivot has a false breakout, the wick-body ratio of the latest candle is tested. The resulting ratio must be higher than this setting for it to be considered as a liquidity grab.
9. Premium & Discount Zones
Enabled -> Enables / Disables Premium & Discount Zones.
10. Style
You can customize the visual looks of the screener here.
BK AK-Ghost Ladder⚔️ BK AK-Ghost Ladder — Smart Money Gaps. True Support/Resistance. ⚔️
There are already some excellent FVG tools out there—built by traders who’ve put in real work studying imbalance, liquidity, and smart money behavior.
BK AK-Ghost Ladder is simply my version of that idea: my attempt to take what I learned from those great frameworks and push it further into volume, structure, lifecycle, and accountability—so every zone is treated as a living, graded object, not just a static box on a chart.
Why “Ghost Ladder”? Because the real market is full of invisible rungs—thin pockets of liquidity, imbalance steps, and defended boundaries that price climbs and falls through like a ladder you can’t see until it matters. This tool is built to reveal those rungs before you get punished by them.
“AK” in the name is not branding—it’s honor. It belongs to my mentor A.K., whose standard of discipline and clarity sits behind every decision in this tool. Above that, all glory and gratitude to Gd—the real source of any wisdom, edge, or endurance we have in this game.
🧠 What BK AK-Ghost Ladder Actually Does
This is a full institutional FVG/SR system, not a paintbrush. It:
Detects and manages bullish & bearish FVG zones using ATR/percent filters and aging logic
Assigns a 0–100 institutional strength score and 1–5★ rating to every zone
Builds a per-zone lower-timeframe volume profile with POC, volume delta, and optional volume text
Tracks historical touches, breaks, role reversals, merging, clustering, and divergence at the zone
Runs per-zone backtest stats and feeds that into an adaptive/ML-style confidence weight
Compresses the whole environment into a real-time Info Table: bias, market position, nearest S/R, risk, session
Fires alerts only when something actually matters: strong FVGs, magnetic pull, divergence at a level
If price is the map, this is the layer that tells you which levels are real and which are noise.
🧱 Core Engine — Institutional Zone Logic
Smart FVG Detection
Clean 3-bar gap logic for bullish & bearish FVGs
ATR or % based minimum gap size + optional distance filter from price
Zone aging with max life in bars and optional “reset on touch”
Overlap & proximity control:
Prevent overlapping zones
Enforce minimum bar spacing
Or keep only the strongest zone in a cluster
Institutional Strength & Rating
Each zone gets a score (0–100) + star rating (1–5★) based on:
Volume vs average (with optional lower timeframe split)
Gap size vs ATR
Pivot confluence
Historical meaningful touches
Role reversal (support ↔ resistance)
MTF FVG alignment
Session weighting (Asian / London / NY / overlaps)
Order block overlap & imbalance behavior
VWAP proximity/extremes
Fib level alignment
Delta divergence
Zone clustering & consolidation
Adaptive “performance weight” from historical reactions
Bad zones don’t just look weaker—they literally get filtered out when you enable minimum star / institutional filters.
📊 In-Zone Volume & Profile Intelligence
Each zone can be backed by lower-timeframe volume:
Per-zone volume histogram inside the gap
POC line at the most traded price in that zone
Optional total volume label
POC line color shifts with volume delta (buy vs sell pressure)
Additional bull/bear volume bars alongside the zone and/or numeric volume text inside the box
You’re not just staring at a gap—you’re seeing the liquidity pocket inside the gap.
🎯 Structure, Confluence & Role Reversal
The engine includes deep structural context:
Pivots: stored swing highs/lows for S/R confluence
MTF FVG Confluence: two extra timeframes for higher-timeframe alignment
Fibonacci Levels: auto-mapped 0.236 / 0.382 / 0.5 / 0.618 / 0.786 with optional lines & labels
Order Blocks & Imbalance: engulfing OB detection + volume/imbalance filters
VWAP Intelligence: VWAP proximity/extreme bonuses, optional short-form plotting
Delta Divergence: volume-based confirmation flags for zones under real internal pressure
Smart S/R Positioning & Role Flip
Hide “wrong side” zones or auto-flip roles when broken & retested
Track broken zones for N bars, then retire them
Mark role reversals with badges and strength bonuses
Support/resistance is treated like behavior, not just lines.
🤖 Adaptive Learning & Backtesting
Each zone is monitored when price touches it:
Checks if price respects the zone and moves X points away (success)
Or violates beyond failure threshold (failure)
Tracks successes, failures, and win rate per zone
Feeds a confidence score into an adaptive weight so consistently performing zones matter more
Zones that meet the bar get ML/🤖 marking when enabled
The script doesn’t just say “this looks strong”—it tracks how it actually behaved.
📋 Info Table & Sessions — On-Chart War Room
On the latest bar, an Info Table summarizes:
Zone count (bull vs bear)
Market position (NEAR SUPPORT / NEAR RESISTANCE / ABOVE RESISTANCE / BELOW SUPPORT / NEUTRAL)
Nearest S/R levels
Trade bias (BULLISH / BEARISH / NEUTRAL)
Active session (ASIAN / LONDON / NY / OVERLAP / OFF)
Risk level (LOW / MED / HIGH)
Sessions are coded in EST with multipliers so you can weight London/NY more heavily than Asia if that matches your playbook.
Hover the table for a strategy tooltip: live market posture, suggested behavior near the zones, and context around the current environment.
⚠ Divergence & Alerts
Real-time RSI/OBV/ADX divergence detection at the zone
Flexible visual modes: border, icon, color change, or combinations
Alerts included:
Magnetic Zone Pull (price entering ATR-based “field” of a strong zone)
Strong Bullish FVG
Strong Bearish FVG
Divergence at Zone
Let the chart call you when a real decision point appears, instead of forcing you to stare all day.
🕹 How to Use BK AK-Ghost Ladder
1️⃣ Build Bias With Structure
Use the Info Table, star ratings, and where the 4–5★ zones cluster relative to price to decide which side of the tape you’re allowed to trade on.
2️⃣ Only Trade From Strong, Aligned Zones
Focus on 4–5★ zones with confluence (pivots, Fib, OB, VWAP, clustering).
Use the zone body/wick region as your execution area, not some random mid-air candle.
3️⃣ Treat Role Reversal & Clusters as Campaign Nodes
When a strong zone breaks, flips role, and collects touches, that’s campaign territory—not scalp noise.
4️⃣ Use Divergence/Delta as a Brake, Not a Toy
If divergence lights up at your level, respect it: size down, wait for confirmation, or stand down.
5️⃣ Let the Engine Filter Junk For You
Tune volMultiplier, star thresholds, session multipliers, distance filters, and min star rating to match your timeframe and instrument.
This script’s job is to remove your excuse for taking low-quality trades.
📜 Boundaries & Wisdom
King Solomon wrote:
“Do not remove the ancient boundary stone that your fathers have set.”
This tool is built around that idea. It maps where the real boundaries live—where smart money defends, attacks, traps, and reverses.
It will not give you discipline. It will simply remove the illusion that “you didn’t know the level was there.”
⚔️ BK AK-Ghost Ladder — Map the Smart Money Gaps. Trade Only the Real Levels.
May Gd bless your vision, your patience, and every decision you make at the edge. 🙏
