Breakout + Retest StrategyThe Breakout + Retest Strategy is a proven price action approach used by professional traders to catch high-probability market moves after key levels are broken. This strategy aims to enter the market after confirmation — reducing false breakouts and improving entry accuracy.
🔍 Strategy Logic:
Identify a Key Support or Resistance Level
These could be recent swing highs/lows, consolidation zones, or session highs.
Wait for a Clean Breakout
Price must decisively break above resistance or below support with strong momentum.
Watch for the Retest
After the breakout, wait for the price to pull back to the broken level (now flipped support/resistance).
Enter on Retest Confirmation
Look for signs like rejection wicks, bullish/bearish engulfing candles, or strong volume on the retest.
Set Risk-Managed Stops and Targets
Stop loss goes below (for long) or above (for short) the retested level.
Target is usually set at a 1:2 or higher risk-to-reward ratio, or based on structure.
✅ Why It Works:
Filters out fake breakouts
Uses market structure and liquidity traps to your advantage
Combines both momentum and confirmation
⚙️ Best Timeframes:
15-minute to 1-hour for intraday setups
4-hour and daily for swing trades
📊 Ideal for:
Futures (NQ, ES, Gold)
Forex pairs
Crypto
Stocks near key earnings or breakout zones
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The Kyber Cell's – TTM Wave BKyber Cell’s Wave B – TTM Squeeze Trend Confirmation Histogram
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1. Introduction
Wave B acts as the trend validator in the TTM Squeeze suite. While Wave A reveals the heartbeat of momentum, Wave B focuses on the directional stability of price. It answers a critical question for traders: Is the trend in my favor, or am I trading against the dominant force?
Built for confirming entries and filtering out low-probability setups, Kyber Cell’s Wave B applies a smoother, more deliberate view of trend structure using configurable moving average logic. This makes it ideal for preventing false starts and improving trade alignment — particularly in combination with Wave A and squeeze-fire signals.
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2. Core Concept and Calculation
Unlike Wave A, which tracks short-term price bursts, Wave B focuses on trend direction and consistency. It typically derives its signal from one of two engines:
• EMA-Based Method: Compares short-term EMA (e.g., 8) to a longer EMA (e.g., 21) to determine directional bias.
• HMA-Based Method: Measures slope and crossover behavior between fast and slow Hull Moving Averages (e.g., HMA 34 and HMA 144) for a smoother trend read.
These calculations produce a histogram that doesn’t fluctuate rapidly like Wave A, but instead stabilizes around sustained trend strength. As such, Wave B excels at confirming whether a move has backing from the broader market structure.
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3. Visual Output and Color Logic
Wave B uses a 3-color histogram to clearly define trend state:
• Bright Blue: Bullish trend
• Bright Red: Bearish trend
• Gray: Neutral or transitioning state (indecision)
This simplified color scheme helps traders avoid information overload and focus on whether the market is structurally aligned for long or short entries.
• When paired with a squeeze-fire and rising Wave A, a blue Wave B bar signals strong confirmation to go long.
• Conversely, a red Wave B bar during a squeeze-fire and falling Wave A confirms bearish setups.
• A gray bar typically signals trend conflict, indecision, or transitional environments — and should be treated as a caution flag.
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4. Ideal Use Case
Wave B is best used as a filter and confirmation layer in your trading workflow:
1. Identify a squeeze setup (using Squeeze Pro or dots indicator).
2. Confirm with Wave A: Look for a fresh momentum push (cyan or red bars).
3. Validate with Wave B:
• Only take long trades when Wave B is blue.
• Only take short trades when Wave B is red.
• Avoid or delay trades when Wave B is gray.
4. Ride the trend until Wave B flips or Wave A fades.
This reduces emotional decision-making and keeps your trades aligned with the prevailing bias, especially on higher timeframes or in choppy conditions.
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5. Configuration and Customization
Wave B is designed with enough flexibility to adapt to different trading styles while remaining streamlined:
• Trend Engine Selection: Choose between EMA-based or HMA-based logic.
• Moving Average Lengths: Customize the short- and long-term periods.
• Color Customization: Adjust bar colors to match your chart theme or visibility needs.
• Bar Thickness and Positioning: Optional visual tweaks depending on your chart layout.
The goal is to provide just enough configurability to integrate seamlessly with Wave A and Squeeze Pro, without diluting the core purpose: trend clarity.
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6. Alerts and Add-ons
Wave B can be extended with basic or advanced alerts, depending on your needs:
• Alert on trend flips (blue → red or red → blue)
• Alert on return to neutral (gray bars)
• Combined alerts with squeeze and momentum signals for high-confluence trades
When integrated with other components, Wave B becomes an essential part of a multi-layered confirmation system.
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7. Disclaimer
This indicator is provided for educational purposes only and is not financial advice. No trading decision should be made solely on the basis of this tool. All users should test their strategies, assess their own risk tolerance, and consider using Wave B as part of a broader technical framework.
Fair Value MSThis indicator introduces rigid rules to familiar concepts to better capture and visualize Market Structure and Areas of Support and Resistance in a way that is both rule-based and reactive to market movements.
Typical "Market Structure" or "Zig-Zag" methods determine swing points based on fixed thresholds (length or percentage). While this does provide rigid structure, the results may be lagging or confusing due to the timing, since it is fixed to static parameters.
I believe the concept of Fair Value Gaps can solve this problem.
As you will notice, there are no length settings in this indicator.
> FVG Market Structure
Fair Value Gaps are a well known concept used to indicate directional intent, forming when price moves aggressively in one direction, leaving behind an imbalance between buyers and sellers. While the term FVG was popularized by ICT, the underlying concept predates them, known historically as imbalances, inefficiencies, or liquidity voids in institutional trading.
Note: For simplicity, in this indicator they'll be called FVGs.
By reading into this, we are able to clearly and rigidly define market structure simply by "looking" at the chart, using objective price events rather than subjective interpretation, or lengths.
By using FVGs to determine structure direction, the length, and speed of identification lies entirely on the market. If an FVG Down occurs immediately after a New Higher High forms, it is reasonable to assume there was a seller at that point, so the script would indicate a New Swing High.
The script is NOT stuck, waiting for a % retrace, or # bars to pass to identify it as such.
Sometimes the market is in a steady trend in a single direction and no FVGs form; therefore, no structure forms. -> Why would we try to impose structure on a clear trend?
Ultimately, the FVG Structure Method uses real reactions from the market to determine Market structure, and is not fixed to specific parameters.
As with other market structure indicators, "Market Structure Breaks" are still identifiable when price moves outside the most recent swing points.
These are helpful to indicate larger direction. In the following section you will see how these help us determine when we should start the search for an "Area of Interest (AOI)".
> Areas of Interest (AOIs)
"Area of Interest (AOI)" is a generalized term, and could refer to many types of zones you might recognize under different names. While the AOIs in this indicator are specialized in their own way, I have chosen to simply use the term "Area of Interest" because it’s more important to understand how they behave and why they exist than to focus on what they’re called.
The goal of an AOI is to point out reasonable areas where buyers or sellers may be staging, as is typical with support and resistance.
In order to reasonably identify these areas, we look for cause and effect relationships. When considering these relationships, it's easier to understand the placement of the points to define each zone.
(Buyer Examples)
Cause: Strong Buyers step in at Swing Low
Effect: Fair Value Gap Forms
Cause: Sustained Buying Pressure
Effect: Market Structure Breaks
In this example, The zone is drawn from the Swing Low, to the Bottom of the FVG closest to the swing point.
In theory, the participation at the swing point was strong and aggressive enough to create the FVG imbalance. Which then found acceptance and continued into a Market Structure Break. So with these AOIs, we are trying to locate the aggressive Buyers or Sellers which were positioned BEFORE the FVG.
These Zones are intended to act as areas to look for reactions from market participants, to judge where price may be going. When revisiting these zones, we look for a reaction or a break, to further provide us information to if the buyers or sellers are still there.
As seen in the screenshot above, The information we gain is not from the creation of these zones, but from the behavior we witness when these zones are revisited.
Technical Note: In this indicator, Market Structure Breaks are only considered when price closes outside the recent swing points. Wicks are not considered as confirmation, therefore are not used to detect structural breaks.
Inside each AOI you can optionally display a readout of the volume which accumulated during the time starting at the swing point and going until the closing bar of the FVG.
Note: We are counting volume until the closing bar of the FVG since the FVG is a 3 bar formation, and aggressive volume is required throughout to create the imbalance.
There are multiple FVGs that typically occur in a single direction, but we do not look to every single one to be indicative of structure, only the first FVG in the opposite direction of the previous direction (which is determined by previous FVGs)
You will probably notice, the AOIs do not form from the closest swing or FVG to the break, this is because we are targeting larger directional changes to draw these AOIs from.
Since they do not always happen perfectly every time, the AOI formation waits for an FVG to occur AND a Market structure break to happen. One without the other will result in no Zone displaying.
> Reflection Lines
While they may seem slightly redundant, Reflection Lines serve as reminders of previous support and resistance pivots. They are drawn at the same Pivots where and AOI is formed, and extend beyond the mitigation of the AOI.
These lines are often points of price to look for "Support Flips", a re-test pattern where price trades through previous support (or resistance) then returns to it and rejects, continuing into a larger move or trend.
Their namesake is based on the behavior of price, "reflecting" at these levels.
The Reflection lines are simple and change color based on price's location.
If price is above, we would typically look to a reflection line in with support in mind.
As a basic filter, these lines use an average price to determine their color, this way they will not change their color as frequently in choppy situations.
> Session Start/End Lines
For analysis purposes and trade review, it is helpful to analyze with context.
For that reason, I have implemented start and end session lines into the indicator, these are helpful when reviewing historical charts to not provide additional context.
By default, they are set to the NYSE Session, but can be changed to fit any needs.
These lines are not advanced, and simply draw a line as the chart passes the start and end of the sessions. It's very likely that you may need to adjust the session for your specific needs.
Note: The Timezone can be adjusted within the code if needed. By Default, the indicator uses "America/New_York" Timezone.
> Conclusion
If you’ve ever felt like your structure tools were confusing or lagging, drawing zones too late, or zones that simply don't make sense, this should feel like a breath of fresh air.
By removing arbitrary length settings and instead using FVGs to define structure and as a basis for AOIs, you're getting a more accurate look at what price is doing and where it's reacting from.
This indicator is rule-based, reactive, and aims to keep things logical without fluff or false confidence.
Enjoy!
Enhanced Neowave Wave 1 Finder with ZigZagThis script is an advanced technical analysis indicator for the TradingView platform, written in Pine Script version 5. Its primary goal is to identify potential Elliott Wave "Wave 1" patterns, enhanced with principles from Neowave theory and a custom ZigZag indicator for more accurate pivot detection. The script is designed to be overlaid on the main price chart.
Core Functionality: Blending ZigZag and Neowave
The indicator's methodology is a two-part process. First, it identifies significant price swings using a robust ZigZag indicator. Then, it analyzes these swings based on a set of rules derived from Neowave and classic technical analysis to validate them as potential Wave 1 patterns.
Part 1: ZigZag Integration
The first major component is a comprehensive ZigZag indicator that forms the foundation for all subsequent analysis.
Pivot Detection: The pivots() function is the engine of the ZigZag. It scans the historical price data for significant high and low points (pivots) over a user-defined Length.
Segment Drawing: Once pivots are identified, the script draws lines connecting them, creating the classic ZigZag pattern on the chart.
Extended Direction & Ratios: This is an enhanced feature. The script doesn't just identify highs and lows; it categorizes them as:
Higher High (HH) or Lower High (LH)
Lower Low (LL) or Higher Low (HL)
This classification is crucial for understanding the market structure. It also calculates the price ratio of the most recent ZigZag leg relative to the previous one, which is used later for pattern validation.
Dynamic Updates: The ZigZag is not static. On each new bar, it can update its most recent pivot point if a new, more extreme price (a higher high or a lower low) is printed before the direction officially changes. This ensures the ZigZag is always reflecting the most current and significant price action.
Part 2: Neowave Wave 1 Finder
With the market structure defined by the ZigZag, the second part of the script applies a rigorous set of rules to identify potential Wave 1 patterns. A Wave 1 is the initial move of a new trend in Elliott Wave theory.
Key Validation Criteria
For a price move between two ZigZag pivots to be considered a valid Wave 1, it must pass a series of checks:
Significance: The move must have a minimum percentage change (Minimum Wave Length) and last for a minimum number of bars, filtering out insignificant noise.
Volume Confirmation: A genuine impulse wave is typically supported by increasing volume. The script checks if the volume during the potential Wave 1 is significantly higher than the recent average (Volume Increase Threshold).
Momentum Alignment: The direction of the wave must be confirmed by momentum indicators.
For a bullish (upward) Wave 1, the Relative Strength Index (RSI) must be in a bullish regime (above 50) and the MACD line must be above its signal line.
For a bearish (downward) Wave 1, the RSI must be below 50 and the MACD line must be below its signal line.
Structural Analysis (Impulse vs. Diagonal): The script attempts to differentiate between two types of Wave 1:
Impulse Wave: A strong, clean, and direct move.
Diagonal Wave: A more complex, overlapping, and often wedge-shaped pattern. This is identified by analyzing the time and price complexity of the move, along with the ZigZag leg ratios.
Wave 2 Retracement Check: A critical Neowave rule is that a valid Wave 1 must be followed by a valid Wave 2 retracement. The script looks at the next ZigZag leg to ensure it doesn't retrace more than 100% of the potential Wave 1. It also uses the ZigZag ratios to confirm the retracement falls within typical Fibonacci levels (e.g., 38.2% to 78.6%).
Display and User Interface
The script provides a rich visual experience to aid the trader in their analysis.
Wave Labels and Boxes: When a valid Wave 1 is detected, it is highlighted with a colored line (green for bullish, red for bearish) and a shaded background box. A label clearly marks it as "Wave 1 IMPULSE" or "Wave 1 DIAGONAL".
Fibonacci Retracement Levels: Upon detection of a Wave 1, the script automatically draws key Fibonacci retracement levels (38.2%, 50%, 61.8%, 78.6%). These levels are potential targets for the end of the subsequent Wave 2, offering potential entry points for a Wave 3 trade.
Information Labels: Additional labels provide at-a-glance confirmation of the conditions, showing whether volume and momentum criteria were met.
Customizable Inputs: Users have extensive control over the indicator's parameters, including the ZigZag length, volume thresholds, RSI levels, and the colors of all visual elements.
Alerts: The indicator can be configured to generate an alert whenever a new bullish or bearish Wave 1 pattern is confirmed, allowing traders to be notified of potential opportunities in real-time.
BANKNIFTY Contribution Table [GSK-VIZAG-AP-INDIA]1. Overview
This indicator provides a real-time visual contribution table of the 12 constituent stocks in the BANKNIFTY index. It displays key metrics for each stock that help traders quickly understand how each component is impacting the index at any given moment.
2. Purpose / Trading Use Case
The tool is designed for intraday and short-term traders who rely on index movement and its internal strength or weakness. By seeing which stocks are contributing positively or negatively, traders can:
Confirm trend strength or divergence within the index.
Identify whether a BANKNIFTY move is broad-based or driven by a few heavyweights.
Detect reversals when individual components decouple from index direction.
3. Key Features and Logic
Live LTP: Current price of each BANKNIFTY stock.
Price Change: Difference between current LTP and previous day’s close.
% Change: Percentage move from previous close.
Weight %: Static weight of each stock within the BANKNIFTY index (user-defined).
This estimates how much each stock contributes to the BANKNIFTY’s point change.
Sorted View: The stocks are sorted by their weight (descending), so high-impact movers are always at the top.
4. User Inputs / Settings
Table Position (tableLocationOpt):
Choose where the table appears on the chart:
top_left, top_right, bottom_left, or bottom_right.
This helps position the table away from your price action or indicators.
5. Visual and Plotting Elements
Table Layout: 6 columns
Stock | Contribution | Weight % | LTP | Change | % Change
Color Coding:
Green/red for positive/negative price changes and contributions.
Alternating background rows for better visibility.
BANKNIFTY row is highlighted separately at the top.
Text & Background Colors are chosen for both readability and direction indication.
6. Tips for Effective Use
Use this table on 1-minute or 5-minute intraday charts to see near real-time market structure.
Watch for:
A few heavyweight stocks pulling the index alone (can signal weak internal breadth).
Broad green/red across all rows (signals strong directional momentum).
Combine this with price action or volume-based strategies for confirmation.
Best used during market hours for live updates.
7. What Makes It Unique
Unlike other contribution tables that show only static data or require paid feeds, this script:
Updates in real time.
Uses dynamic calculated contributions.
Places BANKNIFTY at the top and presents the entire internal structure clearly.
Doesn’t repaint or rely on lagging indicators.
8. Alerts / Additional Features
No alerts are added in this version.
(Optional: Alerts can be added to notify when a certain stock contributes above/below a threshold.)
9. Technical Concepts Used
request.security() to pull both 1-minute and daily close data.
Conditional color formatting based on price change direction.
Dynamic table rendering using table.new() and table.cell().
Static weights assigned manually for BANKNIFTY stocks (can be updated if index weights change).
10. Disclaimer
This script is intended for educational and informational purposes only. It does not constitute financial advice or a buy/sell recommendation.
Users should test and validate the tool on paper or demo accounts before applying it to live trading.
📌 Note: Due to internet connectivity, data delays, or broker feeds, real-time values (LTP, change, contribution, etc.) may slightly differ from other platforms or terminals. Use this indicator as a supportive visual tool, not a sole decision-maker.
Script Title: BANKNIFTY Contribution Table -
Author: GSK-VIZAG-AP-INDIA
Version: Final Public Release
MACD Support and Resistance [ChartPrime]⯁ OVERVIEW
MACD Support and Resistance is a dynamic support/resistance mapping tool powered by MACD crossover logic. Each time the MACD line crosses the signal line, the indicator scans for recent price extremes and locks them in as potential support or resistance zones. These levels are automatically cleaned up if price breaks them, keeping the chart focused on active market structure. The system includes a built-in MACD display with visual markers, along with contextual highs and lows to help define the current environment.
⯁ MACD-BASED SUPPORT/RESISTANCE GENERATION
The core logic uses the MACD oscillator crossover as a trigger event to generate structural levels:
When MACD crosses above its signal line:
→ The script scans the last 5 bars for the lowest low .
→ A support level is plotted at that price.
When MACD crosses below its signal line:
→ The script scans the last 5 bars for the highest high .
→ A resistance level is plotted at that price.
These dynamic levels reflect where price recently reversed or paused, making them prime zones for reaction, continuation, or invalidation.
⯁ LEVEL MANAGEMENT AND VALIDATION
To keep the chart clean and relevant:
A maximum of 20 active levels are allowed at once.
Older levels are automatically removed if the list exceeds the limit.
If price closes below a support level or above a resistance level , the corresponding line is deleted.
This ensures that only currently respected levels remain on the chart — a major advantage for active traders.
⯁ MACD VISUALIZATION + SIGNAL MARKERS
A full MACD system is rendered on the lower panel for visual confirmation:
The MACD line and Signal line are both plotted and color-coded dynamically.
A filled area] highlights the spread between them to emphasize momentum strength.
A diamond marker is drawn each time MACD crosses its signal line, alerting traders to potential trend shifts.
These visuals make it easy to understand the timing of the support/resistance updates.
⯁ LOCAL EXTREME REFERENCE LINES
To help contextualize current price position relative to recent market extremes:
A Local High line is plotted based on the highest MACD value over the past 100 bars].
A Local Low line is plotted based on the lowest MACD value over the past 100 bars].
These levels are rendered lightly and serve as dynamic range boundaries.
They assist traders in identifying overextended or compressed MACD behavior.
⯁ USAGE
Use the generated S/R levels as breakout or reversal zones.
Watch for MACD diamond markers to confirm the timing of new levels.
Combine these reactive zones with other ChartPrime confluence tools for higher-confidence entries.
Use the Local High/Low zones as a volatility envelope to guide risk and trend continuation potential.
⯁ CONCLUSION
MACD Support and Resistance takes a classic momentum indicator and adds real-time structural awareness. By linking MACD crossover events to recent price extremes, it identifies the zones where market sentiment shifted — and continues to monitor their strength. Whether you're a breakout trader or looking to fade key reaction points, this tool delivers clean, actionable levels based on momentum and structure — not guesswork.
ICT Swiftedge# ICT SwiftEdge: Advanced Market Structure Trading System
**Overview**
ICT SwiftEdge is a powerful trading system built upon the foundation of ICTProTools' ICT Breakers, licensed under the Mozilla Public License 2.0 (mozilla.org). This script has been significantly enhanced by to combine market structure analysis with modern technical indicators and a sleek, AI-inspired statistics dashboard. The goal is to provide traders with a comprehensive tool for identifying high-probability trade setups, managing exits, and tracking performance in a visually intuitive way.
**Credits**
This script is a derivative work based on the original "ICT Breakers" by ICTProTools, used with permission under the Mozilla Public License 2.0. Significant enhancements, including RSI-MA signals, trend filtering, dynamic timeframe adjustments, dual exit strategies, and an AI-style statistics dashboard, were developed by . We express our gratitude to ICTProTools for their foundational work in market structure analysis.
**What It Does**
ICT SwiftEdge integrates multiple trading concepts to help traders identify and manage trades based on market structure and momentum:
- **Market Structure Analysis**: Identifies Break of Structure (BOS) and Market Structure Shift (MSS) patterns, which signal potential trend continuations or reversals. BOS indicates a continuation of the current trend, while MSS highlights a shift in market direction, providing key entry points.
- **RSI-MA Signals**: Generates "BUY" and "SELL" signals when BOS or MSS patterns align with the Relative Strength Index (RSI) smoothed by a Moving Average (RSI-MA). Signals are filtered to occur only when RSI-MA is above 50 (for buys) or below 50 (for sells), ensuring momentum supports the trade direction.
- **Trend Filtering**: Prevents multiple signals in the same trend, ensuring only one buy or sell signal per trend direction, reducing noise and improving trade clarity.
- **Dynamic Timeframe Adjustment**: Automatically adjusts pivot points, RSI, and MA parameters based on the selected chart timeframe (1M to 1D), optimizing performance across different market conditions.
- **Flexible Exit Strategies**: Offers two user-selectable exit methods:
- **Trailing Stop-Loss (TSL)**: Exits trades when price moves against the position by a user-defined distance (in points), locking in profits or limiting losses.
- **RSI-MA Exit**: Exits trades when RSI-MA crosses the 50 level, signaling a potential loss of momentum.
- Users can enable either or both strategies, providing flexibility to adapt to different trading styles.
- **AI-Style Statistics Dashboard**: Displays real-time trade performance metrics in a futuristic, neon-colored interface, including total trades, wins, losses, win/loss ratio, and win percentage. This helps traders evaluate the system's effectiveness without external tools.
**Why This Combination?**
The integration of these components creates a synergistic trading system:
- **BOS/MSS and RSI-MA**: Combining market structure breaks with RSI-MA ensures entries are based on both price action (structure) and momentum (RSI-MA), increasing the likelihood of high-probability trades.
- **Trend Filtering**: By limiting signals to one per trend, the system avoids overtrading and focuses on significant market moves.
- **Dynamic Adjustments**: Timeframe-specific parameters make the system versatile, suitable for scalping (1M, 5M) or swing trading (4H, 1D).
- **Dual Exit Strategies**: TSL protects profits during trending markets, while RSI-MA exits are ideal for range-bound or reversing markets, catering to diverse market conditions.
- **Statistics Dashboard**: Provides immediate feedback on trade performance, enabling data-driven decision-making without manual tracking.
This combination balances technical precision with user-friendly visuals, making it accessible to both novice and experienced traders.
**How to Use**
1. **Add to Chart**: Apply the script to any TradingView chart.
2. **Configure Settings**:
- **Chart Timeframe**: Select your chart's timeframe (1M to 1D) to optimize parameters.
- **Structure Timeframe**: Choose a timeframe for market structure analysis (leave blank for chart timeframe).
- **Exit Strategy**: Enable Trailing Stop-Loss (`useTslExit`), RSI-MA Exit (`useRsiMaExit`), or both. Adjust `tslPoints` for TSL distance.
- **Show Signals/Labels**: Toggle `showSignals` and `showExit` to display "BUY", "SELL", and "EXIT" labels.
- **Dashboard**: Enable `showDashboard` to view trade statistics. Customize colors with `dashboardBgColor` and `dashboardTextColor`.
3. **Trading**:
- Look for "BUY" or "SELL" labels to enter trades when BOS/MSS aligns with RSI-MA.
- Exit trades at "EXIT" labels based on your chosen strategy.
- Monitor the statistics dashboard to track performance (total trades, win/loss ratio, win percentage).
4. **Alerts**: Set up alerts for BOS, MSS, buy, sell, or exit signals using the provided alert conditions.
**License**
This script is licensed under the Mozilla Public License 2.0 (mozilla.org). The source code is available for review and modification under the terms of this license.
**Compliance with TradingView House Rules**
This publication adheres to TradingView's House Rules and Scripts Publication Rules. It provides a clear, self-contained description of the script's functionality, credits the original author (ICTProTools), and explains the rationale for combining indicators. The script contains no promotional content, offensive language, or proprietary restrictions beyond MPL 2.0.
**Note**
Trading involves risk, and past performance is not indicative of future results. Always backtest and validate the system on your preferred markets and timeframes before live trading.
Enjoy trading with ICT SwiftEdge, and let data-driven insights guide your decisions!
CISD with Alerts [neo|]█ OVERVIEW
CISD (or Change in State of Delivery) is an ICT concept and reversal pattern which may allow traders to identify reversals or changes in market structure early, compared to using traditional market structure. This script aims to correctly identify, and update these levels and provide alerts, so that traders can take advantage of this concept with ease.
█ CONCEPTS
Simply put, CISD may be identified when price closes above the open of the candle which started the most recent downtrend or liquidity sweep. Generally, it is most powerful when applied to key points in the market as a confirmation from where you may want price to reverse.
For example, when price is in a downtrend, we take the open of the last consecutive downwards candle and observe the CISD once price closes above it, beginning an uptrend.
Examples:
COMEX:GC1!
CME_MINI:NQ1!
█ How to use
To use the indicator, simply apply it to your chart and modify any of your desired inputs.
• Bullish CISD color allows you to change the color of +CISD levels.
• Bearish CISD color allows you to change the color of -CISD levels.
• Line width allows you to modify the width of +-CISD lines.
• Line extension bars allows you to change how far ahead CISD levels are drawn (by default it is 5).
• Keep old CISD levels will allow you to preserve all past CISD levels if you would like to observe the logic.
• Enable stat table will let you add a table on your chart which will tell you the current CISD trend, as well as your ticker and timeframe.
• Table position allows you to customize where the table will appear on your chart.
ATRs in Days📌 ATR in Days
This script tracks how price moves in relation to ATR over multiple days, providing a powerful volatility framework for traders.
🔹 Key Features:
✅ 4 ATRs in 5 Days – Measures if a stock has moved 4x its ATR within the last 5 days, identifying extreme volatility zones.
✅ Daily ATR Calculation – Tracks average true range over time to gauge market conditions.
✅ Clear Table Display – Real-time ATR readings for quick decision-making.
✅ Intraday & Swing Trading Compatible – Works across multiple timeframes for day traders & swing traders.
📊 How to Use:
Look for stocks that exceed 4 ATRs in 5 days to spot extended moves.
Use ATR as a reversion or continuation signal depending on market structure.
🚀 Perfect for traders looking to quantify volatility & structure trades effectively!
DTFX Algo Zones [SamuraiJack Mod]CME_MINI:NQ1!
Credits
This indicator is a modified version of an open-source tool originally developed by Lux Algo. I literally modded their indicator to create the DTFX Algo Zones version, incorporating additional features and refinements. Special thanks to Lux Algo for their original work and for providing the open-source code that made this development possible.
Introduction
DTFX Algo Zones is a technical analysis indicator designed to automatically identify key supply and demand zones on your chart using market structure and Fibonacci retracements. It helps traders spot high-probability reversal areas and important support/resistance levels at a glance. By detecting shifts in market structure (such as Break of Structure and Change of Character) and highlighting bullish or bearish zones dynamically, this tool provides an intuitive framework for planning trades. The goal is to save traders time and improve decision-making by focusing attention on the most critical price zones where market bias may confirm or reverse.
Logic & Features
• Market Structure Shift Detection (BOS & CHoCH): The indicator continuously monitors price swings and marks significant structure shifts. A Break of Structure (BOS) occurs when price breaks above a previous swing high or below a swing low, indicating a continuation of the current trend. A Change of Character (ChoCH) is detected when price breaks in the opposite direction of the prior trend, often signaling an early trend reversal. These moments are visually marked on the chart, serving as anchor points for new zones. By identifying BOS and ChoCH in real-time, the DTFX Algo Zones indicator ensures you’re aware of key trend changes as they happen.
• Auto-Drawn Fibonacci Supply/Demand Zones: Upon a valid structure shift, the indicator plots a Fibonacci-based zone between the breakout point and the preceding swing high/low (the source of the move). This creates a shaded area or band of Fibonacci retracement levels (for example 38.2%, 50%, 61.8%, etc.) representing a potential support zone in an uptrend or resistance zone in a downtrend. These supply/demand zones are derived from the natural retracement of the breakout move, highlighting where price is likely to pull back. Each zone is essentially an auto-generated Fibonacci retracement region tied to a market structure event, which traders can use to anticipate where the next pullback or bounce might occur.
• Dynamic Bullish and Bearish Zones: The DTFX Algo Zones indicator distinguishes bullish vs. bearish zones and updates them dynamically as new price action unfolds. Bullish zones (formed after bullish BOS/ChoCH) are typically highlighted in one color (e.g. green or blue) to indicate areas of demand/support where price may bounce upward. Bearish zones (formed after bearish BOS/ChoCH) are shown in another color (e.g. red/orange) to mark supply/resistance where price may stall or reverse downward. This color-coding and real-time updating allow traders to instantly recognize the market bias: for instance, a series of bullish zones implies an uptrend with multiple support levels on pullbacks, while consecutive bearish zones indicate a downtrend with resistance overhead. As old zones get invalidated or new ones appear, the chart remains current with the latest key levels, eliminating clutter from outdated levels.
• Flexible Customization: The indicator comes with several options to tailor the zones to your trading style. You can filter which zones to display – for example, show only the most recent N zones or limit to only bullish or only bearish zones – helping declutter the chart and focus on recent, relevant levels. There are settings to control zone extension (how far into the future the zones are drawn) and to automatically invalidate zones once they’re no longer relevant (for instance, if price fully breaks through a zone or a new structure shift occurs that supersedes it). Additionally, the Fibonacci retracement levels within each zone are customizable: you can choose which retracement percentages to plot, adjust their colors or line styles, and decide whether to fill the zone area for visibility. This flexibility ensures the DTFX Algo Zones can be tuned for different markets and strategies, whether you want a clean minimalist look or detailed zones with multiple internal levels.
Best Use Cases
DTFX Algo Zones is a versatile indicator that can enhance various trading strategies. Some of its best use cases include:
• Identifying High-Probability Reversal Zones: Each zone marks an area where price has a higher likelihood of stalling or reversing because it reflects a significant prior swing and Fibonacci retracement. Traders can watch these zones for entry opportunities when the market approaches them, as they often coincide with order block or strong supply/demand areas. This is especially useful for catching trend reversals or pullbacks at points where risk is lower and potential reward is higher.
• Spotting Key Support and Resistance: The automatically drawn zones act as dynamic support (below price) and resistance (above price) levels. Instead of manually drawing Fibonacci retracements or support/resistance lines, you get an instant map of the key levels derived from recent price action. This helps in quickly identifying where the next bounce (support) or rejection (resistance) might occur. Swing traders and intraday traders alike can use these zones to set alerts or anticipate reaction areas as the market moves.
• Trend-Following Entries: In a trending market, the indicator’s zones provide ideal areas to join the trend on pullbacks. For example, in an uptrend, when a new bullish zone is drawn after a BOS, it indicates a fresh demand zone – buying near the lower end of that zone on a pullback can offer a low-risk entry to ride the next leg up. Similarly, in a downtrend, selling rallies into the highlighted supply zones can position you in the direction of the prevailing trend. The zones effectively serve as a roadmap of the trend’s structure, allowing trend traders to buy dips and sell rallies with greater confidence.
• Mean-Reversion and Range Trading: Even in choppy or range-bound markets, DTFX Algo Zones can help find mean-reversion trades. If price is oscillating sideways, the zones at extremes of the range might mark where momentum is shifting (ChoCH) and price could swing back toward the mean. A trader might fade an extended move when it reaches a strong zone, anticipating a reversion. Additionally, if multiple zones cluster in an area across time (creating a zone overlap), it often signifies a particularly robust support/resistance level ideal for range trading strategies.
In all these use cases, the indicator’s ability to filter out noise and highlight structurally important levels means traders can focus on higher-probability setups and make more informed trading decisions.
Strategy – Pullback Trading with DTFX Algo Zones
One of the most effective ways to use the DTFX Algo Zones indicator is trading pullbacks in the direction of the trend. Below is a step-by-step strategy to capitalize on pullbacks using the zones, combining the indicator’s signals with sound price action analysis and risk management:
1. Identify a Market Structure Shift and Trend Bias: First, observe the chart for a recent BOS or ChoCH signal from the indicator. This will tell you the current trend bias. For instance, a bullish BOS/ChoCH means the market momentum has shifted upward (bullish bias), and a new demand zone will be drawn. A bearish structure break indicates downward momentum and creates a supply zone. Make sure the broader context supports the bias (e.g., if multiple higher timeframe zones are bullish, focus on long trades).
2. Wait for the Pullback into the Zone: Once a new zone appears, don’t chase the price immediately. Instead, wait for price to retrace back into that highlighted zone. Patience is key – let the market come to you. For a bullish setup, allow price to dip into the Fibonacci retracement zone (demand area); for a bearish setup, watch for a rally into the supply zone. Often, the middle of the zone (around the 50% retracement level) can be an optimal area where price might slow down and pivot, but it’s wise to observe price behavior across the entire zone.
3. Confirm the Entry with Price Action & Confluence: As price tests the zone, look for confirmation signals before entering the trade. This can include bullish reversal candlestick patterns (for longs) or bearish patterns (for shorts) such as engulfing candles, hammers/shooting stars, or doji indicating indecision turning to reversal. Additionally, incorporate confluence factors to strengthen the setup: for example, check if the zone overlaps with a key moving average, a round number price level, or an old support/resistance line from a higher timeframe. You might also use an oscillator (like RSI or Stochastic) to see if the pullback has reached oversold conditions in a bullish zone (or overbought in a bearish zone), suggesting a bounce is likely. The more factors aligning at the zone, the more confidence you can have in the trade. Only proceed with an entry once you see clear evidence of buyers defending a demand zone or sellers defending a supply zone.
4. Enter the Trade and Manage Risk: When you’re satisfied with the confirmation (e.g., price starts to react positively off a demand zone or shows rejection wicks in a supply zone), execute your entry in the direction of the original trend. Immediately set a stop-loss order to control risk: for a long trade, a common placement is just below the demand zone (a few ticks/pips under the swing low that formed the zone); for a short trade, place the stop just above the supply zone’s high. This way, if the zone fails and price continues beyond it, your loss is limited. Position size the trade so that this stop-loss distance corresponds to a risk you are comfortable with (for example, 1-2% of your trading capital).
5. Take Profit Strategically: Plan your take-profit targets in advance. A conservative approach is to target the origin of the move – for instance, in a long trade, you might take profit as price moves back up to the swing high (the 0% Fibonacci level of the zone) or the next significant zone or resistance level above. This often yields at least a 1:1 reward-to-risk ratio if you entered around mid-zone. More aggressive trend-following traders may leave a portion of the position running beyond the initial target, aiming for a larger move in line with the trend (for example, new higher highs in an uptrend). You can also trail your stop-loss upward behind new higher lows (for longs) or lower highs (for shorts) as the trend progresses, locking in profit while allowing for further gains.
6. Monitor Zone Invalidation: Even after entering, keep an eye on the behavior around the zone and any new zones that may form. If price fails to bounce and instead breaks decisively through the entire zone, respect that as an invalidation – the market may be signaling a deeper reversal or that the signal was false. In such a case, it’s better to exit early or stick to your stop-loss than to hold onto a losing position. The indicator will often mark or no longer highlight zones that have been invalidated by price, guiding you to shift focus to the next opportunity.
Risk Management Tips:
• Always use a stop-loss and don’t move it farther out in hope. Placing the stop just beyond the zone’s far end (the swing point) helps protect you if the pullback turns into a larger reversal.
• Aim for a favorable risk-to-reward ratio. With pullback entries near the middle or far end of a zone, you can often achieve a reward that equals or exceeds your risk. For example, risking 20 pips to make 20+ pips (1:1 or better) is a prudent starting point. Adjust targets based on market structure – if the next resistance is 50 pips away, consider that upside against your risk.
• Use confluence and context: Don’t take every zone signal in isolation. The highest probability trades come when the DTFX Algo Zone aligns with other analysis (trend direction, chart patterns, higher timeframe support/resistance, etc.). This filtered approach will reduce trades taken in weak zones or counter-trend traps.
• Embrace patience and selectivity: Not all zones are equal. It can be wise to skip very narrow or insignificant zones and wait for those that form after a strong BOS/ChoCH (indicating a powerful move). Larger zones or zones formed during high-volume times tend to produce more reliable pullback opportunities.
• Review and adapt: After each trade, note how price behaved around the zone. If you notice certain Fib levels (like 50% or 61.8%) within the zone consistently provide the best entries, you can refine your approach to focus on those. Similarly, adjust the indicator’s settings if needed – for example, if too many minor zones are cluttering your screen, limit to the last few or increase the structure length parameter to capture only more significant swings.
⸻
By combining the DTFX Algo Zones indicator with disciplined confirmation and risk management, traders can improve their timing on pullback entries and avoid chasing moves. This indicator shines in helping you trade what you see, not what you feel – the clearly marked zones and structure shifts keep you grounded in price action reality. Whether you’re a trend trader looking to buy the dip/sell the rally, or a reversal trader hunting for exhaustion points, DTFX Algo Zones provides a robust visual aid to elevate your trading decisions. Use it as a complementary tool in your analysis to stay on the right side of the market’s structure and enhance your trading performance.
Expiry Day Special IndicatorExpiry Day Special Indicator
The Expiry Day Special Indicator is designed to detect catalytic price action patterns that commonly occur between 9:15 AM to 10:15 AM (IST) in the Nifty & Bank Nifty markets but not limited to these specific markets. While these patterns are particularly useful on expiry days, they are not limited to expiry trading alone. They can also be applied on other trading days when similar conditions arise, making them versatile for intraday traders.
How It Works
This indicator scans for bullish and bearish price action patterns within the first trading hour and plots potential buy and sell signals based on key market structures.
• Bearish Patterns: Identifies strong rejection zones and weakness in price action to signal potential short trades.
• Bullish Patterns: Recognizes reversal formations that indicate potential long trade opportunities.
• Time Filter: The setup is valid only between 9:15 AM - 10:15 AM (IST) to focus on high-impact market moves.
Why This Indicator?
1. Specialized for Nifty & Bank Nifty – Designed specifically for Indian markets.
2. Early Trend Identification – Helps traders capture moves early in the session.
3. Works Beyond Expiry Days – Although optimized for expiry trading, it can also detect similar patterns on regular days.
📌 Note: This indicator does not provide trading advice; always use proper risk management.
Turtle Soup Model [PhenLabs]📊 Turtle Soup Model
Version: PineScript™ v6
Description
The Turtle Soup Model is an innovative technical analysis tool that combines market structure analysis with inter-market comparison and gap detection. Unlike traditional structure indicators, it validates market movements against a comparison symbol (default: ES1!) to identify high-probability trading opportunities. The indicator features a unique “soup pattern” detection system, comprehensive gap analysis, and real-time structure breaks visualization.
Innovation Points:
First indicator to combine structure analysis with gap detection and inter-market validation
Advanced memory management system for efficient long-term analysis
Sophisticated pattern recognition with multi-market confirmation
Real-time structure break detection with comparative validation
🔧 Core Components
Structure Analysis: Advanced pivot detection with inter-market validation
Gap Detection: Sophisticated gap identification and classification system
Inversion Patterns: “Soup pattern” recognition for reversal opportunities
Visual System: Dynamic rendering of structure levels and gaps
Alert Framework: Multi-condition notification system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Structure Levels: Validated support and resistance zones
Gap Patterns: Identification of significant market gaps
Inversion Signals: Detection of potential reversal points
Real-time Comparison: Continuous inter-market analysis
Visual Alerts: Dynamic structure break notifications
📈 Visualization
Structure Lines: Color-coded for highs and lows
Gap Boxes: Visual representation of gap zones
Inversion Patterns: Clear marking of potential reversal points
Comparison Overlay: Inter-market divergence visualization
Alert Indicators: Visual signals for structure breaks
💡Example
📌 Usage Guidelines
The indicator offers multiple customization options:
Structure Settings:
Pivot Period: Adjustable for different market conditions
Comparison Symbol: Customizable reference market
Visual Style: Configurable colors and line widths
Gap Analysis:
Signal Mode: Choice between close and wick-based signals
Box Rendering: Automatic gap zone visualization
Middle Line: Reference point for gap measurements
✅ Best Practices:
🚨Use comparison symbol from related market🚨
Monitor both structure breaks and gap inversions
Combine signals for higher probability trades
Pay attention to inter-market divergences
⚠️ Limitations
Requires comparison symbol data
Performance depends on market correlation
Best suited for liquid markets
What Makes This Unique
Inter-market Validation: Uses comparison symbol for signal confirmation
Gap Integration: Combines structure and gap analysis
Soup Pattern Detection: Identifies specific reversal patterns
Dynamic Structure Management: Automatically updates and removes invalid levels
Memory-Efficient Design: Optimized for long-term chart analysis
🔧 How It Works
The indicator processes market data through three main components:
1. Structure Analysis:
Detects pivot points with comparison validation
Tracks structure levels with array management
Identifies and processes structure breaks
2. Gap Analysis:
Identifies significant market gaps
Processes gap inversions
Manages gap zones visualization
3. Pattern Recognition:
Detects “soup” patterns
Validates with comparison market
Generates structure break signals
💡 Note: The indicator performs best when used with correlated comparison symbols and appropriate timeframe selection. Its unique inter-market validation system provides additional confirmation for traditional structure-based trading strategies.
FibExtender [tradeviZion]FibExtender : A Guide to Identifying Resistance with Fibonacci Levels
Introduction
Fibonacci levels are essential tools in technical analysis, helping traders identify potential resistance and support zones in trending markets. FibExtender is designed to make this analysis accessible to traders at all levels, especially beginners, by automating the process of plotting Fibonacci extensions. With FibExtender, you can visualize potential resistance levels quickly, empowering you to make more informed trading decisions without manually identifying every pivot point. In this article, we’ll explore how FibExtender works, guide you step-by-step in using it, and share insights for both beginner and advanced users.
What is FibExtender ?
FibExtender is an advanced tool that automates Fibonacci extension plotting based on significant pivot points in price movements. Fibonacci extensions are percentages based on prior price swings, often used to forecast potential resistance zones where price might reverse or consolidate. By automatically marking these Fibonacci levels on your chart, FibExtender saves time and reduces the complexity of technical analysis, especially for users unfamiliar with calculating and plotting these levels manually.
FibExtender not only identifies Fibonacci levels but also provides a customizable framework where you can adjust anchor points, colors, and level visibility to suit your trading strategy. This customization allows traders to tailor the indicator to fit different market conditions and personal preferences.
Key Features of FibExtender
FibExtender offers several features to make Fibonacci level analysis easier and more effective. Here are some highlights:
Automated Fibonacci Level Identification : The script automatically detects recent swing lows and pivot points to anchor Fibonacci extensions, allowing you to view potential resistance levels with minimal effort.
Customizable Fibonacci Levels : Users can adjust the specific Fibonacci levels they want to display (e.g., 0.618, 1.0, 1.618), enabling a more focused analysis based on preferred ratios. Each level can be color-coded for visual clarity.
Dual Anchor Points : FibExtender allows you to choose between anchoring levels from either the last pivot low or a recent swing low, depending on your preference. This flexibility helps in aligning Fibonacci levels with key market structures.
Transparency and Visual Hierarchy : FibExtender automatically adjusts the transparency of levels based on their "sequence age," creating a subtle visual hierarchy. Older levels appear slightly faded, helping you focus on more recent, potentially impactful levels.
Connection Lines for Context : FibExtender draws connecting lines from recent lows to pivot highs, allowing users to visualize the price movements that generated each Fibonacci extension level.
Step-by-Step Guide for Beginners
Let’s walk through how to use the FibExtender script on a TradingView chart. This guide will ensure that you’re able to set it up and interpret the key information displayed by the indicator.
Step 1: Adding FibExtender to Your Chart
Open your TradingView chart and select the asset you wish to analyze.
Search for “FibExtender ” in the Indicators section.
Click to add the indicator to your chart, and it will automatically plot Fibonacci levels based on recent pivot points.
Step 2: Customizing Fibonacci Levels
Adjust Levels : Under the "Fibonacci Settings" tab, you can enable or disable specific levels, such as 0.618, 1.0, or 1.618. You can also change the color for each level to improve visibility.
Set Anchor Points : Choose between "Last Pivot Low" and "Recent Swing Low" as your Fibonacci anchor point. If you want a broader view, choose "Recent Swing Low"; if you prefer tighter levels, "Last Pivot Low" may be more suitable.
Fib Line Length : Modify the line length for Fibonacci levels to make them more visible on your chart.
Step 3: Spotting Visual Clusters (Manual Analysis)
Identify Potential Resistance Clusters : Look for areas on your chart where multiple Fibonacci levels appear close together. For example, if you see 1.0, 1.272, and 1.618 levels clustered within a small price range, this may indicate a stronger resistance zone.
Why Clusters Matter : Visual clusters often signify areas where traders expect heightened price reaction. When levels are close, it suggests that resistance may be reinforced by multiple significant ratios, making it harder for price to break through. Use these clusters to anticipate potential pullbacks or consolidation areas.
Step 4: Observing the Price Action Around Fibonacci Levels
As price approaches these identified levels, watch for any slowing momentum or reversal patterns, such as doji candles or bearish engulfing formations, that might confirm resistance.
Adjust Strategy Based on Resistance : If price hesitates or reverses at a clustered resistance zone, it may be a signal to secure profits or tighten stops on a long position.
Advanced Insights (for Intermediate to Advanced Users)
For users interested in the technical workings of FibExtender, this section provides insights into how the indicator functions on a code level.
Pivot Point and Swing Detection
FibExtender uses a pivot-high and pivot-low detection function to identify significant price points. The upFractal and dnFractal variables detect these levels based on recent highs and lows, creating the basis for Fibonacci extension calculations. Here’s an example of the code used for this detection:
// Fractal Calculations
upFractal = ta.pivothigh(n, n)
dnFractal = ta.pivotlow(n, n)
By setting the number of periods for n, users can adjust the sensitivity of the script to recent price swings.
Fibonacci Level Calculation
The following function calculates the Fibonacci levels based on the selected pivot points and applies each level’s specific ratio (e.g., 0.618, 1.618) to project extensions above the recent price swing.
calculateFibExtensions(float startPrice, float highPrice, float retracePrice) =>
fibRange = highPrice - startPrice
var float levels = array.new_float(0)
array.clear(levels)
if array.size(fibLevels) > 0
for i = 0 to array.size(fibLevels) - 1
level = retracePrice + (fibRange * array.get(fibLevels, i))
array.push(levels, level)
levels
This function iterates over each level enabled by the user, calculating extensions by multiplying the price range by the corresponding Fibonacci ratio.
Example Use Case: Identifying Resistance in Microsoft (MSFT)
To better understand how FibExtender highlights resistance, let’s look at Microsoft’s stock chart (MSFT), as shown in the image. The chart displays several Fibonacci levels extending upward from a recent pivot low around $408.17. Here’s how you can interpret the chart:
Clustered Resistance Levels : In the chart, note the grouping of several Fibonacci levels in the range of $450–$470. These levels, particularly when tightly packed, suggest a zone where Microsoft may encounter stronger resistance, as multiple Fibonacci levels signal potential barriers.
Applying Trading Strategies : As price approaches this clustered resistance, traders can watch for weakening momentum. If price begins to stall, it may be wise to lock in profits on long positions or set tighter stop-loss orders.
Observing Momentum Reversals : Look for specific candlestick patterns as price nears these levels, such as bearish engulfing candles or doji patterns. Such patterns can confirm resistance, helping you make informed decisions on whether to exit or manage your position.
Conclusion: Harnessing Fibonacci Extensions with FibExtender
FibExtender is a powerful tool for identifying potential resistance levels without the need for manual Fibonacci calculations. It automates the detection of key swing points and projects Fibonacci extensions, offering traders a straightforward approach to spotting potential resistance zones. For beginners, FibExtender provides a user-friendly gateway to technical analysis, helping you visualize levels where price may react.
For those with a bit more experience, the indicator offers insight into pivot points and Fibonacci calculations, enabling you to fine-tune the analysis for different market conditions. By carefully observing price reactions around clustered levels, users can identify areas of stronger resistance and refine their trade management strategies accordingly.
FibExtender is not just a tool but a framework for disciplined analysis. Using Fibonacci levels for guidance can support your trading decisions, helping you recognize areas where price might struggle or reverse. Integrating FibExtender into your trading strategy can simplify the complexity of Fibonacci extensions and enhance your understanding of resistance dynamics.
Note: Always practice proper risk management and thoroughly test the indicator to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
Trade smarter with TradeVizion—unlock your trading potential today!
Power Trends [UkutaLabs]█ OVERVIEW
The Power Trends Indicator is a versatile trading toolkit that offers unique insight into key price levels in the market. This script uses currently relevant price-action information to automatically detect pivot levels and use them to create powerful trendlines.
The aim of this script is to improve the trading experience of users by offering a versatile toolkit that can be used in a wide variety of trading strategies to help simplify the complexities of the market.
█ USAGE
The Power Trends Indicator will automatically identify pivot points in real-time using recent price-action information to ensure that all points being identified are relevant. Using these pivot points, the script then draws powerful trend lines that can be used as levels of resistance and support.
To ensure that only the most relevant information is being presented, only the most recent trend lines will be displayed on the user’s charts. As new trend lines are being drawn, older trend lines will become thinner so that traders can identify the most relevant lines at a glance.
The price of the most recent high and low pivot points will also be displayed on the chart and can be used as further levels of resistance and support.
When a recent pivot level is broken, it will be identified as a Break of Structure. This signifies that there may have been a change in market strength.
The Power Trends Indicator also supports multiple time frame mapping, allowing you to mirror the trend lines that would be drawn on higher time frame charts onto lower time frame charts. This feature allows traders to be aware of the market structure of multiple charts at a glance from a single chart.
When mirroring some higher time frame trend lines, lines may appear to not align properly with current time frame bars. This is done intentionally to ensure lines are being drawn accurately to their position on the higher time frame charts.
█ SETTINGS
Current Time Frame
• Display (On/Off): Determines whether or not trend lines are drawn from the current time frame.
• High Color: Determines the color of trend lines drawn on high pivots.
• Low Color: Determines the color of trend lines drawn on low pivots.
5 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 5 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 5 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 5 minute higher time frame.
15 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 15 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 15 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 15 minute higher time frame.
30 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 30 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 30 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 30 minute higher time frame.
60 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 60 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 60 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 60 minute higher time frame.
240 Minute (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the 240 minute higher time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the 240 minute higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the 240 minute higher time frame.
Daily (Higher Time Frame)
• Display (On/Off): Determines whether or not trend lines are drawn from the daily time frame.
• High Color: Determines the color of trend lines drawn on high pivots from the daily higher time frame.
• Low Color: Determines the color of trend lines drawn on low pivots from the daily higher time frame.
ICT Killzones Toolkit [LuxAlgo]The ICT Killzones Toolkit is a comprehensive set of tools designed to assist traders in identifying key trading zones and patterns within the market.
The ICT Killzones Toolkit includes the following Price Action components:
ICT Killzones with Pivot Highs/Lows
Order Blocks
Breaker Blocks
Fair Value Gaps
Market Structure Shifts
By combining these components, the ICT Killzones Toolkit provides traders with a comprehensive framework for analyzing the market and identifying setups of interest. Leveraging these tools effectively can enhance traders' decision-making process and improve killzones interpretability.
🔶 USAGE
In forex/futures trading, timing is crucial. ICT Killzone are specific periods when there's a higher chance of finding setups of interest. Mastering these time intervals can offer significant advantages to traders who know how to use them effectively.
The image above highlights a potential setup of interest when using the ICT Killzones Toolkit.
As another example for utilizing the ICT Killzones Toolkit, we can see in the image above when price retests setups generated from killzones such as Order Blocks or Fair Value Gaps, a potential strategy could be to look for entries on those & take profits as the next killzone appears.
🔹 Order Blocks
Order Blocks are sections on a price chart where notable buying or selling activity has occured, often signaling interest zones for institutional traders. This toolkit's Order Blocks component pinpoints these areas within the Killzone, which may act as potential support or resistance levels.
🔹 Breaker Blocks
Breaker Blocks are zones built from mitigated order blocks, and highlight zones on the chart where price has previously stalled or reversed. These areas may act as significant barriers to price movement in the future, and the Breaker Blocks component helps traders identify them for potential trading opportunities.
🔹 Fair Value Gaps
Fair value gaps are especially favored by price action traders and arise from market inefficiencies or imbalances, typically when buying and selling are unequal. These gaps often attract price movement before resuming in the same direction. the Fair Value Gaps component of the toolkit helps traders identify and analyze them.
🔹 Market Structure Shifts
Market Structure Shifts refer to significant changes in the overall structure of the market, such as shifts in trend direction, volatility, or trading activity. These shifts can provide valuable insights into market sentiment and potential trading opportunities, and the Market Structure Shifts component helps traders identify and interpret them.
Overall, the ICT Killzone Toolkit combines these components to provide traders with a comprehensive framework for analyzing the markets and identifying high-probability trading setups.
🔶 SETTINGS
🔹 ICT Killzones
Asian, London Open, New York, and London Close: toggles the visibility of specific Killzones, allowing users to customize time periods and Killzone colors.
Killzone Lines : Top/Bottom, Mean and Extend Top/Bottom: toggles the visibility of the Killzone's pivot high and low lines, mean (average) line, and allows users to extend the pivot lines.
Killzone Labels: Toggles the visibility of the Killzone labels.
Display Killzones within Timeframes Up To: Toggles the visibility of the Killzones up to selected Timeframes.
Open Price, Separator, Label, and Color: toggles the visibility of the open price of the Killzones or for the day, week, or month. If the day, week, or month is selected, a separator will be displayed to highlight the beginning of each respective period. Additionally, users can customize the color and toggle the label as needed.
🔹 Order Blocks & Breaker Blocks
Order Blocks | Breaker Blocks: toggles the visibility of the order blocks & breaker blocks.
Swing Detection Length: lookback period used for the detection of the swing points used to create order blocks & breaker blocks.
Mitigation Price: allows users to select between closing price or wick of the candle.
Use Candle Body in Detection: allows users to use candle bodies as order block areas instead of the full candle range.
Remove Mitigated Order Blocks & Breaker Blocks: toggles the visibility of the mitigated order blocks & breaker blocks.
Extend Order Blocks & Breaker Blocks: enables processing of the order blocks & breaker blocks beyond the boundaries of the killzones.
Display Order Blocks & Breaker Blocks: enables the display of the first, last, or all occurrences of the order blocks & breaker blocks.
Order Blocks : Bullish, Bearish Color: color customization option for order blocks.
Breaker Blocks : Bullish, Bearish Color: color customization option for breaker blocks.
Show Order Blocks & Breaker Blocks Text: toggles the visibility of the order blocks & breaker blocks labels.
🔹 Market Structure Shifts
Market Structure Shifts: toggles the visibility of the market structure shifts.
Detection Length: market structure shift detection length.
Display Market Structure Shifts: enables the display of the first, last, or all occurrences of the market structure shifts.
Market Structure Shifts : Bullish, Bearish Color: color custumization option for market structure shifts.
Show Market Structure Shifts Text: toggles the visibility of the market structure shifts labels.
🔹 Fair Value Gaps
Fair Value Gaps: toggles the visibility of the fair value gaps.
Fair Value Gap Width Filter: filtering threshold wile detecting fair value gaps.
Remove Mitigated Fair Value Gaps: removes mitigated fair value gaps.
Extend Fair Value Gaps: enables processing of the fair value gaps beyond the boundaries of the killzones.
Display Fair Value Gaps: enables the display of the first, last, or all occurrences of the fair value gaps.
Bullish Imbalance Color: color customization option.
Bearish Imbalance Color: color customization option.
Show Fair Value Gaps Text: toggles the visibility of the fair value gaps labels.
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Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Ichimoku Cloud MasterIchimoku Cloud Master aims to provide the ichimoku trader with easy alert functionality to not miss out on valuable trade setups. The key purpose of this script is to better visualise crucial moments in Ichimoku trading. These alerts should not be used for botting in my opinion as they always need a human to confirm the ichimoku market structure. For example, is the Kijun-Sen flat and too far away from price? A good ichimoku trader will not enter at such a point in time.
Explanation of script:
Chikou(lagging span): pink line, this is price plotted 26 bars ago. People ignore the power of this it is crucial to see how chikou behaves towards past price action as seen in the chart below where we got an entry at red arrow because chikou bounced from past fractal bottom.
Kijun-Sen(base line): Black line or color coded line. This is the equilibrium of last 26 candles. To me this is the most important line in the system as it attracts price.
Kijun = (Highest high of 26 periods + Lowest low of 26 periods) ÷ 2
Tenkan-Sen(conversion line): Blue line. This is the equilibrium of last 9 candles. In a strong uptrend price stays above this line.
Tenkan = (Highest high of 9 periods + Lowest low of 9 periods) ÷ 2
Senkou A (Leading span A)= Pink cloud line, this is the average of the 2 components projected 26 bars in the future.
Senkou A = (Tenkan + Kijun) ÷ 2
Senkou B (Leading span B) = Green cloud line, this is the 52 day equilibrium projected 26 bars in the future.
Senkou B = (Highest high of prior 52 periods + Lowest low of prior 52 periods) ÷ 2
Notice how the distance between Chikou and the cloud is also 52 bars. This is all part of Hosoda's numbers which I am not going to explain here.
Fractals: These are the black triangles you find at key turning point. If you want to know how they work reseach williams fractals. I've used fractals with a period of 9 as it is an ichimoku number. These fractals are useful when working with ichimoku wave theory. Again I will not explain that here but in further education
Fractal Support: Ability to extend lines from the fractals which can be used as an entry/exit mechanism in your trading. For example wait for tenkan to cross kijun and then enter on fractal breakout.
Signals:
Crossing of Chikou (lagging span) with past Kijun-Sen: this will color code the Bars / Kijun-Sen (you can turn this off in options)
The script also has a signal for this, this will be the green and purple diamonds. Where green is bullish and purple is bearish.
wy is this important?
When current price plotted 26 candles back (chikou) crosses over the past equilibrium (kijun-sen) this usualy means price has moved past resistance levels where sellers come in. This indicates a switch in market structure and price is bullish from this point, this is the same in the other direction.
Kumo Twist: when the kumo cloud (future) has a crossover from for example green to red (bull to bear). The script plots these using the colored cross symbols as seen in the picture above. A chikou cross + a Kumo twist at same bar of next to eachother below the cloud can be a great entry sign: this would be an entry after cross in the chart above.
Kijun Bounce: when in an uptrend the price retraces back to Kijun-Sen and starts to go back up. These are marked by the yellow circles as seen in chart below:
low below Kijun-Sen and close above it
Strong Trend: when Tenkan is above Kijun, price above cloud, future cloud green, chikou above close, chikou above Kijun we establish a strong bullish trend. For bearish the exact opposite. The script has a function to send an alert at the start of such trends and to plot them with small colored circles above the bars.
Customisation:
I've added options to disable specific aspects of the indicator for those traders who do not want to use all aspects of the indicator. In the customisation tab I've given each part a clear title so you can use your own colors/shapes.
The perfect entry?
Further info:
Look into my education pane, I will be adding education in the future. The chance of me making a more advanced version of the script including line forecasting etc is rather high so watch out for that.
For those who want to master this system I recommend reading the book:
How to make money with the ichimoku system by Balkrishna M. Sadekar
Or the originals books by Hosoda the inventor of Ichimoku if you can get your hands on them and can read Japanese.
Almost all info about the ichimoku system you find on the internet will lose you money because they reduce the system to simple signals that do not generate money.
I will be providing educational material on tradingview using this indicator.
Tipsy EMA Tipsy EMA
v0.2a
Coded by vaidab.
A simple strategy to buy dips in an uptrend.
How to use:
- buy on trend when price retraces to the orange "buy" line and compound orders
- sell when price reaches red line (stop loss) or at 💰 (take profit)
Note that you can reverse trade on the 💰 sign for a short scalp / day trade.
Uptrend: green/red background. Danger zone: orange bg. No go zone: no bg.
Potential buys (in a clear trend): 55, 100, 200 EMA touches and
fibo retracements to .382 and .618.
Potential stop loss: when price breaks the 200 EMA (marked by a red line).
Exit signs: opposite trend divergences (RSI).
Take profit: EMA 55 crossing down EMA 100.
Use it in confluence with market structure. E.g. If 200 EMA ligns up with
past market structure, if there are whole numbers or if there's a monthly level.
Tested BTCUSDT D, 4H
Smart Pro Entry Guideज्यादातर नए और मिड-लेवल ट्रेडर indicator की भीड़ में या जल्दीबाज़ी में ग़लत entry/exit पर फँस जाते हैं, जिससे बार-बार loss होता है या सही trade छूट जाता है।
Smart Pro Entry Guide इसी असली समस्या का सीधा हल है:
यह indicator price action, candle analysis, volume और trend momentum – सबका adaptive combination लगाकर हर स्थिति में साफ शब्दों में (BUY/SELL/WAIT) real-time signal देता है। इसकी सबसे खास बात – higher और current timeframe की sync analysis और auto-adaptive logic, जिससे beginners/experienced – सभी traders किसी भी market structure में बिना confusion सही entry, support/resistance, liquidity और trend direction एक दम साफ देख सकते हैं।
Key Concept & Benefits
No Indicator Clutter: सिर्फ one-glance signals, सारे signals और levels auto-update ताकि screen पर कभी overload ना हो।
Exact Entry Guide: कब सही entry है – system खुद strongest action filter करता है, जिससे FOMO और whipsaw entry से बचा जा सके।
HTF+LTF Logic: Multitimeframe sync analysis – हर market mood (bullish, bearish, sideways) को पकड़े और जल्द signal ना बदले।
Auto S/R & Liquidity Zones: Important support/resistance और liquidity levels auto-plot, जिससे price action traders को ready reference मिले।
Clear Action/Direction: हर बार realtime table/dashboard में plain words में “market क्या चाहता है” दिखे – चाहे bull trap हो, sudden volume spike, wick reversal या trend exhaustion.
For Everyone: Trader चाहे newbie हो या pro – सिर्फ chart add करें और real market psychology का live simplified signal instantly पायें।
Ideal Usage
Instant decision support: जब भी confused हों entry/exit को लेकर – इस indicator की सिफारिश चेक करें।
Entry learning: Beginners को best real-time practice playground – हर entry/exit reason भी दिखता है।
Screen time & Stress कम: Chart पर clear, relevant info – no noise, no extra marks!
Smart Entry Guide – Pro Dashboard HTF/Action Split ट्रेडिंग को आसान, साफ और आत्मविश्वासी बनाता है – ताकि आप market signal miss ना करें, जल्दीबाज़ी में trap ना हों और हर बड़े move का सही हिस्सा बन सकें।
Input Setting:
Enable Wick Analysis (useWickAnalysis)
क्या है?
यह एक बूलियन (true/false) सेटिंग है जिससे यूज़र यह decide कर सकता है कि indicator में "wick analysis" को एक्टिव करना है या नहीं.
क्यों है?
"Wick analysis" ट्रेडिंग में कैंडलस्टिक के shadows (wick/tail) को analyze करता है — यानी किसी भी कैंडल का जो हिस्सा खुलने/बंद होने के दाम से उपर या नीचे जाता है, लेकिन वहीं टिकता नहीं।
यह analysis दर्शाता है कि प्राइस पर seller या buyer ने strength दिखाई, पर वो momentum टिक नहीं पाया— यानी rejection या sudden buying/selling pressure।
Intent (भावना/लक्ष्य)
मार्केट की psychology को और गहराई से पकड़ना।
Beginner को live chart पर वही logic समझाना जो manual price action expert traders ढूंढ़ते हैं।
False signals/whipsaws को avoid करना, खासकर wicks के कारण आने वाले traps से बचाव करना।
User के लिए फायदा
जब यह ON रहेगा, तो indicator extra alert देगा — अगर बहुत बड़ी wick बनी है (जैसे big lower wick यानी नीचे से strong buying या big upper wick यानी strong selling), तो signal जल्दी और सही मिलेगा।
इससे ट्रेडर को पता चलेगा कि market एक तरफ rejection दिखा चुका है — जिससे खास entry/exit का decision और strong हो जाता है।
FOMO या panic में गलती से entry/exit लेने से बचाव, क्यूंकि wick पहचानना often pro trader का काम था — indicator उसे भी automatically दिखा देता है।
Real market reversal या fake breakout points को early पहचानने में मदद।
संक्षेप में:
Enable Wick Analysis चालू करने पर indicator manual pro price action reading जैसा एक smart filter जोड़ लेता है — जिससे signals ज़्यादा powerful, और market के traps से बचने में मदद मिलती है।
Enable Absorption (useAbsorption)
क्या है?
यह एक बूल विकल्प (On/Off) है। जब आप इसे true/active करते हैं, तो indicator "absorption candle" का logic अपने analysis में शामिल करता है।
क्यों है?
Absorption trading में एक ऐसी स्थिति को दर्शाता है जहाँ एक तरफ से ज़बरदस्त buying या selling pressure आता है—लेकिन उसके सामने दूसरी ओर से equally strong order flow आकर move को absorb (निगल) लेता है, जिससे price को रोक दिया जाता है। यह market में hidden strength का संकेत होता है—जैसे कोई चलती ट्रेन अचानक दीवार से टकरा जाती है!
Indicator में absorption analysis यह पकड़ता है कि volume अचानक high है, और price एकदम lowest या highest point पर बंद हो गया, पर price बड़ा move नहीं कर पाया—यानी buyers या sellers का दबाव absorb हो गया।
Intent
Pro level price/volume dynamics को automatically पढ़ना, जिससे major reversals या breakout fakeouts का पता लगाया जा सके।
Beginners के लिए complicated manual candle/volume analysis को आसान बनाना।
Market में छुपी हुई liquidity और institutional order zones को पहचानना—जहाँ real move start हो सकता है।
User को क्या फायदा?
On करने पर जब भी absorption signal मिलेगा, indicator entry/exit या directional alert को और मजबूत बना देगा।
Reversal या fake breakout/trap के पहले ही user को advanced warning मिल सकती है—जो अक्सर सिर्फ बड़े price action expert charts से ही पकड़ते हैं।
Beginners के लिए "hidden" market action को सामने लायेगा—panic या FOMO entry से बचाव और patience बढ़ेगा।
खासकर volatile या news-driven market में जहाँ sudden wicks और volume spike निकलते हैं, वहाँ यह बहुत काबिल feature है।
संक्षेप में:
Enable Absorption ON रखने पर indicator market के छुपे हुए pressure zones को automatically detect करता है—traders को entry/reversal/exit points पर pro-level confidence देता है, जिससे major loss या फालतू entries से बचा जा सकता है।
Enable Unusual Breakout (useUnusualBreakout)
क्या है?
यह एक ON/OFF विकल्प है (बूल वैल्यू)। इसे सक्रिय करने पर indicator unusual breakout की प्रबल पहचान करता है — यानी जब candle का बॉडी औसत से बहुत बड़ा और वॉल्यूम ज़्यादा होता है।
क्यों है?
मार्केट में कभी-कभी अचानक बड़े मूव (breakout/breakdown) आते हैं — जिनमें volume भी साथ में surge करता है।
ऐसे unusual moves beginners अक्सर miss कर देते हैं, या उलटी साइड में फँस जाते हैं, क्योंकि वो normal range से बाहर signal होते हैं।
Intent
Sharp momentum और real breakout moves को identify करना।
Beginners को uncommon market situations में, पहले से alert करना, ताकि genuine move miss न हो और trap में भी न फँसे।
Volatility ke time पर traders को confidence और clarity मिल सके।
User फायदा कैसे ले सकता है?
ON रखने पर indicator जैसे ही unusual breakout detect करेगा (big candle + high volume), signal के साथ reason में दिखा देगा।
Scalping/trend ट्रेड या volatile मार्केट में, extraordinary moves को जल्दी पकड़ पाएँगे।
Entry miss या फालतू whipsaw moves में फँसने से बच सकते हैं, क्योंकि indicator unusual move को plain शब्दों में highlight करेगा।
High-probability moves में तेजी से action लेने का मौका मिलेगा।
संक्षेप में:
Unusual Breakout ON रखने पर indicator हर uncommonly strong move को समय पर पकड़ लेता है — जिससे users big and real market move miss नहीं करते और risky sudden traps से बचते हैं!
Enable Range/Expansion (useRangeExpansion)
क्या है?
यह एक boolean setting है (On/Off)। इसे ON करने पर indicator "Range Expansion" logic को activate करता है — यानी जब market में suddenly price range बढ़ जाती है, तब उसको खास तौर पर analyze करता है।
क्यों है?
"Range/Expansion" का मतलब है — जब किसी भी candle या bar का high-low suddenly पिछले average range के मुकाबले बहुत ज्यादा बड़ा/छोटा हो जाए।
यह अक्सर अचानक volatility, नए trend की शुरुआत, या powerful breakouts/breakdowns के वक्त होता है — यानी market stationary/restricted से एकदम dynamic/high-volatility mode में आ गई।
Beginners ये movement कई बार miss कर देते हैं या old range में फँसकर false entry ले लेते हैं।
Intent
Trend shift, volatility burst और range breakout जैसी critical movements को exact time पर पकड़ना।
User को warn करना कि market एक नए phase में आ चुकी है — अब entry/exit approach को accordingly adjust करना चाहिए।
Entry का best time signal करना, जब suddenly real move शुरू हो गया हो।
User को क्या फायदा?
ON करने पर जैसे ही market में unusual range expansion दिखाई देगी, indicator alert कर देगा — जिससे no-trade phase से out-of-box move को catch करना आसान हो जाएगा।
इसमें पुराने (previous) small ranges और sudden large candle के difference को detect किया जाता है — जिससे user sideways/confused market में trap होने से बच सकता है।
Best entry का timing improve करेगा — अगर expansion bullish/positive हो तो BUY या bearish/negative हो तो SELL quickly identify हो जाएगा।
Big trend moves miss नहीं होंगे, क्योंकि system खुद नए phase को instantly पकड़ लेगा।
संक्षेप में:
Enable Range/Expansion ON करने से indicator sudden trend shifts, breakout/breakdown या big volatility phase को तुरंत पकड़ता है — जिससे user entry/exit का फायदे-मंद decision ले सकते हैं, moving/range bound market trap से बच सकते हैं, और trend phase को miss नहीं करते!
Trend Bar Lookback (Rolling) (trendBarCount)
क्या है?
यह एक integer/numeric input है, जिससे आप set करते हैं कि indicator पिछले कितने candles/bars का data लेकर trend की direction और strength calculate (roll करता है) करे।
जैसे: अगर इसका मान 7 है, तो पिछले 7 candles की price movement देखकर trend का हिसाब करेगा।
क्यों है?
हर market/trader का style और time-frame अलग होता है;
Short lookback = तेज़ी से बदलने वाला, ज्यादा sensitive signal → scalping/small moves के लिए।
Long lookback = बड़ा data, ज़्यादा stable trend, कम whipsaw → swing/position trading के लिए।
Indicator को flexible बनाने के लिए यह option रखा गया, ताकि user अपने हिसाब से momentum/trend detection को adjust कर पाए।
Intent
User को control देना कि trend detection में कितना past data consider करना है।
Beginners और pros दोनों को flexibility देना — कोई ultra-fast trend देखना चाहे तो small value रखे, कोई safe/stable trend के लिए बड़ी value रख सकता है।
हर symbol/market के हिसाब से customization—volatile stocks में कम या ज़्यादा lookback set कर सकते हैं।
User के लिए फायदा
अपनी strategy, time-frame, और market के behaviour के हिसाब से best trend sensitivity set कर पायेंगे।
Short-term traders quick entries पकड़ सकते हैं; long-term traders noise से बच सकते हैं।
Indicator false signals या whipsaw से बचाने के लिए τtrendBarCount को adjust कर decision clarity पा सकता है।
Multi-timeframe analysis और system tuning ultra easy बन जाता है—user खुद देख सकता है कि कौन सा setting उसके लिए सबसे अच्छा result दे रहा है।
संक्षेप में:
Trend Bar Lookback user को ये control देता है कि trend/momentum calculation कितना “fast” या “slow” हो, जिससे वे अपनी style के हिसाब से indicator को बिलकुल fit बना सकते हैं—यह ट्रेडिंग में एक बहुत बड़ा practical edge देता है!
Bull/Bear Bars for Strong Trend Min (trendScoreMin)
क्या है?
यह setting यह define करती है कि पिछले lookback window (जैसे—Trend Bar Lookback) के अंदर लगातार कितनी bullish (green) या bearish (red) candles minimum चाहिए, ताकि indicator उसे "strong trend" मानकर BUY या SELL signal दे सके।
उदाहरण: अगर इसे 5 set किया है, तो पिछले lookback (माने 7) में कम-से-कम 5 बारें लगातार bullish हों—तभी उसे strong uptrend और vice versa के लिए strong downtrend trigger माना जाएगा।
क्यों है?
बहुत सारे indicators या strategies market में छोटे-छोटे या random price moves में भी trend detect कर लेते हैं, जिससे beginners बार-बार छोटे या झूठे (false) signal पर फंस जाते हैं।
trendScoreMin रखने का logic ही यह है कि सिर्फ तभी entry मिले, जब वहाँ सच्चा momentum, यानी majority candles एक direction में हों—ताकि weak trend, sideways, या whipsaw moves से user बचे।
Intent (मूल भावना)
Signal quality improve करना—सिर्फ “high probability” entries व strong momentum trade मिले।
Market noise और बार-बार signal flip या reversal के chance कम करना।
Beginner/trader discipline रखना—बार-बार entry/exit करके trap होने से रोकना।
User फ़ायदा (User कैसे लाभ उठा सकता है?)
अगर user aggressive है और ज्यादा fast signal चाहिए, तो इस value को कम रखे (जैसे 3-4)—उससे short trend/flips भी मिल जाएंगे।
अगर user को only strong/full-body trends चाहिए, loss से डर है या ज्यादा noise नहीं चाहिए, तो value ज्यादा रखें (6-7)—तभी signal आएगा जब market strongly एक तरफ जा रहा हो।
खासकर beginners जल्दी signal के चक्कर में fake moves पकड़ लेते हैं—यह setting उन्हें patience सिखाएगी और परेशान market moves में unwanted trades से रोकेगी।
Pro trader इसको नए-नए symbol या market reality के हिसाब से tweak कर सकते हैं—जैसे volatile crypto में कम, stable stock में ज्यादा।
Example Practical Use:
Suppose आपने lookback 7 रखा है और trendScoreMin 5, तो पिछले 7 candles में कम से कम 5 green पूरे हों तो ही BUY trigger बनेगा—वरना WAIT ही दिखेगा।
यह logic practically हर time frame, हर market, हर user type के लिए risk control और entry select करने को super easy और disciplined बना देता है।
Volume MA Length (length)
क्या है?
यह setting user से पूछती है कि वॉल्यूम का “moving average” कितने पिछले bars/candles के ऊपर लें।
माने, यह वह अवधि है जिसके आधार पर indicator वॉल्यूम का औसत निकालता है। Default value अक्सर 20 होती है, यानी पिछली 20 candles के volume का average लिया जाता है।
क्यों है?
Market में हर candle का वॉल्यूम अलग होता है—कभी ऊपर, कभी नीचे।
जब sudden volume spike/decline आता है तो वही असली move, trap या breakout का clue होता है।
Normal volume कितनी है ये पता रहे, ताकि unusual वॉल्यूम तुरंत पकड़ में आए।
Intent (लक्ष्य/भावना)
Beginner/pro दोनों trader को अपने हिसाब से volume behavior analyze करने देना।
हर symbol, market type, time frame आदि के लिए अपने हिसाब से logical वॉल्यूम spike/filter tuning देना।
Noise, trap या fake volume moves से alert रखना।
User फ़ायदा (कैसे use करे/benefit)
Short-term/small move के लिए: (e.g., Scalping, fast intraday) – कम value रखें जैसे 10–15। इससे fast volume change जल्दी पकड़ जायेगा।
Long-term/big move के लिए: (e.g., Swing, positional) – बड़ी value रखें जैसे 30–50। Stable average बनेगा, सिर्फ असली strong moves दिखेंगे।
Practical Entry/Exit: Unusual volume candle पर indicator quickly alert करेगा—FOMO, panic या silent entry से user बचेगा।
Beginner कोई भी market (Forex, stock, crypto) इस्तेमाल कर रहा हो, इस length के हिसाब से volume analysis best fit बना सकता है।
अगर volume ज्यादातर flat है, तो MA length बढ़ा लें। अगर हमेशा high change रहता है, तो कम कर सकते हैं।
Example:
अगर length 20 रखा और अगले candle का volume, पिछले 20 का average से 2x हो गया—system उसे impactful move मानेगा और यूजर को real breakout या absorption candle instant बता देगा।
यह setting छोटी है लेकिन trading में “volume traps” और “real participation” को पकड़ने के लिए बहुत काम की है। सही value experiment करके user अपनी strategy के लिए best sweet spot खुद खोज सकता है!
Swing Lookback Bars (swing_look)
क्या है?
यह setting बताती है कि indicator ब्रेकआउट/रिवर्सल या swing को पकड़ने के लिए कितनी पिछली candles (bars) का डेटा देखे।
Simple रूप में, जब system swing high/low (local top/bottom) calculate करता है, तो वह पीछे कितनी bars देखे — यह user decide करता है।
Default value 15 होती है, यानी पिछली 15 candles में सबसे ज़्यादा हाई या सबसे कम low को swing point माना जाएगा।
क्यों है?
हर मार्केट और हर trader का swing/reversal पढ़ने का तरीका अलग होता है — किसी को छोटी moves (scalping/small breakout) पकड़नी है, किसी को big swings (trend shift) चाहिए।
अगर छोटी value रखेंगे तो system जल्दी-जल्दी swings दिखाएगा; बड़ी value से सिर्फ major, मजबूत reversal points दिखेंगे।
Intent (लक्ष्य/भावना)
User को flexibility देना, ताकि वह chart structure अपनी strategy के हिसाब से देख सके।
Pro-level market structure analysis (higher highs/lows, lower lows/highs) को simplify करना।
Beginners को real swing/reversal या trend continuation signal में clarity देना, bar-बार changing signals से बचाना।
User फ़ायदा (कैसे use करें/benefit)
Short-term/Scalping के लिए: small value (जैसे 8-10)—quick swing points, fast choppy market में best है।
Swing/Positional Trading के लिए: larger value (15-30)—major reversal या only big breakouts/breakdowns दिखेंगे, noise कम, reliability ज्यादा।
Entry/exit timing ultra accurate हो जाती है — क्योंकि वही bars (swings) true reversal बन पाते हैं जिनके पीछे enough candles का context होता है।
Beginners भी chart पर local high/low, support/resistance आसानी से identify कर पाते हैं, manual drawing की ज़रूरत नहीं।
Trend-followers छोटे swing के trap से बच सकते हैं; reversal traders major profit capturing कर सकते हैं।
Example:
अगर swing_look = 15, तो indicator हर point पर पिछले 15 bars में highest high और lowest low देखेगा — अगर कोई बार इन values से ज़्यादा/कम है, तो swing high/low बन जाएगा।
इससे आप अपनी strategy को perfectly match करते हुए, strong और weak swings को filter कर सकते हैं—high probability trading, कम confusion, और confident setup!
HTF (Bias Window) (window_tf)
क्या है?
HTF (Higher Time Frame) Bias Window वह setting है जिससे आप यह decide करते हैं कि indicator multisystem logic में कौन सा higher time frame (जैसे—15min, 1H, 4H, 1D आदि) market bias/मूड पढ़ने के लिए इस्तमाल करे।
इसमें time-frame (window) select होता है जिस पर overall market trend, bias, liquidity और reversal zones का हिसाब लगाया जाता है।
क्यों है?
ज़्यादातर beginners या हाल ही के traders सिर्फ current/candle time-frame देखते हैं — जिससे बार-बार छोटे या fake signals आ जाते हैं।
लेकिन real market direction, big moves और trend reversals अक्सर bigger time frame (HTF) से ही decide होते हैं।
HTF bias window रखने का मकसद यह है कि entry/exit decisions हमेशा बड़े context के हिसाब से हों—market की asliyat कभी भी small time-frame में miss न हो!
Intent (मूल भावना)
User को multitimeframe trading की advanced power देना—बिना extra charts के।
हर trade से पहले bigger bias पता रहे—market bullish है, sideways है या bearish है, वो instantly clear हो।
Beginners को frustration, false breakout और whipsaw trap से बचाना—क्योंकि current TF का move अगर HTF के खिलाफ है तो trap होने के chances बहुत ज्यादा हैं।
User फ़ायदा (कैसे benefit लें?)
Scalping/trading में:
Quick trades के लिए छोटी HTF window (जैसे 15-30min) चुनें।
Swing/position trading में:
बड़ी window (1H, 4H, 1D) रखें—overall trend, major reversal & support/resistance zones का सही अंदाजा मिलेगा।
Beginner हो या Pro—HTF bias window के हिसाब से entry लें तो “trend के खिलाफ trade” ना के बराबर होंगे, result consistency बढ़ जाएगी।
HTF हमेशा direction/major move के पीछे की असली ताकत दिखाता है—choppy, sideways या reversal market में perfect filter की तरह काम करता है।
Example Practical Use:
Suppose आपने chart 5min का open किया है, पर HTF bias window 1H set किया—तो हर 5min move की असली दिशा hourly trend बताएगा, जिससे सिर्फ strong, genuine trend पर ही entry मिलेगी।
सारांश:
HTF Bias Window ऐसी setting है जो हर user को beginner से pro तक, market के बड़े structure के हिसाब से decision लेने की ताकत देती है—winning ratio और discipline दोनों full boost हो जाते हैं!
Adaptive Lookback (HTF) (lookback_sup)
क्या है?
Adaptive Lookback (HTF) वो setting है जिसमें user यह तय करता है कि higher time frame (HTF) analysis में सुपर इम्पॉर्टेंट data points—जैसे highest volume, biggest candle body, swing points आदि—calculate करने के लिए कितनी पिछली HTF candles को consider करना चाहिए।
यानी HTF में latest कितनी bars देखनी हैं ताकि extreme/high impact moves, zones, और levels का पता चले।
क्यों है?
बड़े moves या reversal अक्सर पिछले लंबे data history में बनती है — इसलिए adaptive lookback जरूरी है।
Short lookback से फटाफट बदलने वाले (quick, responsive) zones मिलेंगे; long lookback से ultra-reliable, rarely changing, big zones मिलेंगे।
हर symbol, strategy और time-frame के हिसाब से right lookback set करना ultra-important है — beginner के लिए भी और pro के लिए भी।
Intent (भावना/logic)
Market के real key levels, HTF trend strength और liquidity का असली context provide करना।
Trend exhaustion, real support/resistance shift, big volume pockets — सब detect हों, इसलिए adaptive tuning option देना।
Beginner को सिर्फ current देखने की गलती से बचाना और overall bias/history भी use करने का रास्ता मिलना।
User फ़ायदा (कैसे use करें/benefit)
छोटा lookback (10-15):
Fast market/volatile asset या intraday के लिए, ताकि indicator बदलती condition के हिसाब से तेजी से adapt करें।
Beginners जो टाइम-टू-टाइम active entries चाहते हैं, उन्हें short lookback से quick response मिलेगा।
बड़ा lookback (20-50+):
High TF पे, swing/positional users के लिए—ऐसे zones, जो बहुत rare और reliable हों। Real trend/fake out/trap से protection मिलेगी।
Pro traders, long-term portfolios में rarely shift होने वाले buy/sell levels automatic spot कर सकते हैं।
HTF के support/resistance, body high, volume high जैसी values निकालकर indicator हर signal को सिर्फ सच्चे big context में ही पास करेगा — accuracy, discipline और trust दोनों बनेगा।
Example:
मान लीजिए lookback_sup = 20; HTF पर, सबसे बड़े volume और candle body last 20 HTF bars से निकाले जाएँगे। अगर sudden spike/zone आता है, तो नया level बनेगा, वरना reliable old results चलेंगे।
निष्कर्ष:
Adaptive Lookback (HTF) आपको long/short trend context, big reversal, institution zones जैसी बड़ी info “ अपने time-frame/strategy के हिसाब से ही ” देता है—entry/exit के लिए ज्यादा भरोसेमंद और high-impact decision possible होता है!
Show Support/Resistance (showSR)
क्या है?
यह एक ON/OFF (True/False) setting है जिसके जरिए user decide करता है कि indicator chart पर automatically निकाले गए support और resistance levels को display करे या नहीं।
जब यह ON रहता है, तो सिस्टम खुद-ब-खुद सबसे ज़्यादा relevant support और resistance (S/R) levels को price chart पर label कर देता है।
क्यों है?
Beginners या even pro-traders भी कभी-कभी key S/R levels draw करने में गलती कर देते हैं या चीज़ें miss कर जाते हैं।
S/R levels trade entry, exit, stoploss और target decide करने का main scientific base होते हैं।
Manual S/R drawing में time भी लगता है और bias का risk भी रहता है—auto-detection हर trader का काम आसान कर देता है।
Intent (logic/लक्ष्य)
User को key market reversal/continuation zones instantly, chart पर real-time दिखाना।
Entry/exit decision-making को speed और confidence के साथ simple बनाना।
किसी भी strategy (price action, breakout, reversal etc.) में key level visualization on-the-fly मिले।
User फ़ायदा (कैसे use करें/benefit)
जैसे ही showSR ON करेंगे, सिस्टम चुपचाप adaptive logic से latest swing हाई/लो, उम्मीद के reversal/trap/continuation level labels chart पर दिखा देगा।
Entry के लिए—जब price support से bounce या resistance पर फंसे, तो action बहुत reliable होगा।
Stoploss/target planning ultra-simple—कोई भी level exact price पर देख सकते हैं।
Beginners को chart पढ़ना, risk management और candle structure analysis learning practically मिल जाता है—कोई guesswork या over-thinking नहीं।
Advanced user multi-timeframe chart्स पर cross-check के लिए instantly s/r देख सकते हैं।
Example:
Fast trading या market में फँसने वाले trade में, S/R ON कर देने से market की real “boundary” हर वक्त सामने रहेगी—best risk/reward और patience automatic आएगा।
निष्कर्ष:
Show Support/Resistance ON रखना हर trader को आत्मनिर्भर, confident और high-probability decision maker बना देता है—चाहे वह नया हो या प्रो।
Manual drawing, confusion या misplacement का risk एकदम vanish—chart always ready, always clear!Show Support/Resistance (showSR)
Show Liquidity Zones (showLIQ)
क्या है?
यह एक ON/OFF (True/False) टॉगल है—user decide करता है कि indicator chart पर हाई-वॉल्यूम वाले liquidity zones को highlight (दिखाए) करे या नहीं।
ON करने पर indicator intelligent logic से chart पर वही price area label करता है जहाँ सबसे ज़्यादा असली trade (liquidity) होती है—यानि जहाँ institutional, big-player activity या sudden big moves के आसार होते हैं।
क्यों है?
Market के बड़े moves या reversals अक्सर वहीं से शुरू होते हैं जहाँ बहुत high volume या liquidity जमा होती है; यही “trap” और “fake breakout” zone भी होते हैं।
Beginners liquidity zone को पचान नहीं पाते और असली move शुरू होने के समय उलट trade कर लेते हैं।
Automatic liquidity mapping से entry, exit या reversal का decision practical and pro-level हो जाता है।
Intent (logic/लक्ष्य)
User को real market power zones ekदम instantly chart पर दिखाना।
Beginners/pro दोनों को — कहाँ "smart money" छुपा है, कहाँ price trap या sudden reversal संभव है, उसका ready clue मिले।
Trade execution, stoploss placement और breakout management को safe, fast और systematic बनाना।
User फ़ायदा (कैसे use करें/benefit)
ON करने से chart पर वही zone highlight होंगे जहाँ price action सबसे ज्यादा meaning रखता है—entry का probability और risk management दोनों best रहेगा।
Beginners को समझ आएगा कि market में सिर्फ SR नहीं, liquidity zone भी important trend driver है।
Advanced user smart money follow करके trap से बचेगा और reversal या continuation पर strong एग्रेसिव entry ले सकेगा।
Panic moves, fake breakouts, और unusual volatility के समय यह zones maximize protection देते हैं।
Scalping, intraday, swing—हर strategy के लिए; liquidity zone का visualization फौरन available होगा।
Example:
Suppose price suddenly एक liquidity zone (high volume mark) के करीब आया—तो system आपको unconsciously alert करेगा कि या तो यह strong entry है या यहाँ से trend reversal मुमकिन है।
सारांश:
Show Liquidity Zones ON रखने से हर ट्रेडर instantly जान सकता है कि “market को सही मायने में कहाँ interest है”—entry timing sharp, big-player trap पहचानना आसान, और overall trading discipline ultra-confident रहेगा!
Manual guesswork पूरी तरह खत्म!
Show Trendlines (showTrend)
क्या है?
यह एक ON/OFF (True/False) setting है — user तय करता है कि indicator chart पर automatically adaptive trendlines plot करे या नहीं।
ON करने पर indicator current/higher time frame के हिसाब से latest price action trends (uptrend or downtrend) के relevant trendline सीधे chart पर draw कर देता है — साथ ही यह entry, breakout और reversal signal में instantly मदद करता है।
क्यों है?
Trendlines trading में price direction, entry/exit point, breakout या reversal zone, और overall price momentum visualize करने का सबसे बेसिक और सबसे भरोसेमंद तरीका हैं।
Beginners को manually trendline draw करना सीखना या perfect line लगाना बेहद tough लगता है — bias, error या miss होने का खतरा रहता है।
Auto-adaptive trendlines होने से market का असली structure बार-बार देखकर समझ में आता है — और signal confirmation भी आसानी से हो जाती है।
Intent (logic/लक्ष्य)
User को chart पर price action और trend का true angle instantly दिखाना।
Trend-following, breakout और reversal strategies को beginner level पर भी super easy बनाना।
No-bias charting experience — हर बार trendline reliable, adaptive और real-time दिखे।
User फ़ायदा (कैसे use करें/benefit)
Trend continuation/entry planning: जब price trendline के साथ/against react करे तो instant clarity मिलेगी — उपरी या निचली trendline के break होने पर entry/exit signal भी refined रहेगा।
Breakout trap या fake reversal से बचाव: Trendline हमेशा real price mood की side दिखाएगी — beginners कभी भी sideways market या false move में confused नहीं होंगे।
Chart minimal, practical और fast-acting रहेगा; चाहे swing tracing हो, scalping या long-term.
Advanced traders भी multiple timeframes/strategy के हिसाब से instant trendline reference के फायदा ले सकते हैं।
Pro-level visualization instantly बिना manual मेहनत के, confidence और patience अपने आप बढ़ेगी।
Example:
Suppose market uptrend में है, trendline chart पर auto-draw हो जायेगी; price जब भी support पर बने या break करे — system instant alert के साथ real trend जाने देगा।
निष्कर्ष:
Show Trendlines ON रखने से indicator entry/exit या reversal की direction instantly live दिखाता है — chart कभी blank, confusion या bias वाला नहीं रहता — beginners से लेकर expert तक, सभी को super-smooth price action discipline instantly मिल जाता है!
Manual drawing भूल जाएँ — chart हमेशा ready, always trustworthy!
S/R Lookback (Adaptive) (srLook)
क्या है?
यह setting यह डिफाइन करती है कि indicator adaptive support/resistance (S/R) levels निकालने के लिए पिछले कितनी bars (candles) का डेटा चेक करे।
यानी, हर बार जब indicator chart पर नया support या resistance label निकालता है, तो वह कितने पीछे जाकर swing high/low देखे — user खुद srLook से decide करता है।
Default value (जैसे 5 या उससे ऊपर)—पिछली 5 candles के lowest/highest को adaptive SR निकालने में इस्तेमाल करेगा।
क्यों है?
S/R calculation की reliability उस दौरान देखे गए data की width/size पर बहुत depend करती है।
कम lookback = तेजी से बदलने वाला support/resistance (quick trading/scalping)।
ज्यादा lookback = ज़्यादा stable, rarely changing, strong S/R (trend/swing position trading)।
हर strategy/trader और market structure के लिए सही lookback choose करना edge देता है।
Intent (लक्ष्य/logic)
User को control देना कि S/R detection कितना “responsive” हो या कितना “stable/reliable” हो।
Beginners को adaptive calculation logic और pro-traders को customizable S/R depth, दोनों देना।
Ultra clutter-free chart; chart भी साफ, levels भी logical।
User फ़ायदा (कैसे use करें/benefit)
Intraday/scalping के लिए:
कम srLook (5-7) — frequent, fast-reacting S/R; rapid moves के लिए बढ़िया।
Swing/positional trading के लिए:
ज्यादा srLook (10-20) — strong, rarely shifting S/R; false breakouts और noisy zones का risk बेहद कम।
Beginners खुद instantly देख सकते हैं कि chart पर कौन-सा level सबसे ज्यादा touch या respect हो रहा है — entry, stoploss, target super easy।
वैसे strategies में जहां price बहुत sideways है, srLook बढ़ाकर only real reversal zones को auto-pick कर सकते हैं।
Strategy-setup के हिसाब से experiment कर सकते हैं—result live देखेंगे।
Example:
अगर srLook = 7 है, तो indicator last 7 candles में सबसे lowest low को support और सबसे highest high को resistance मानकर chart पर adaptive डॉट या label लगा देगा — जैसे ही market S/R के पास आएगा system alert होगा।
निष्कर्ष:
S/R Lookback (Adaptive) user को अपने chart और trading style के हिसाब से best-fit support/resistance levels निकालने का फ्रीडम देता है—noise, guesswork और manual जानकारी की ज़रूरत खत्म, chart हमेशा practically trade-ready रहता है!
Liquidity Lookback (Adaptive) (liqLook)
क्या है?
Liquidity Lookback एक numerical setting है, जिससे user define करता है कि indicator liquidity (यानी unusual/high volume वाले zones) detect करने के लिए कितनी पिछली candles (bars) को average करें।
Default value (जैसे 20) - इसका मतलब है कि पिछले 20 bars का volume average लेकर ही liquidity zone set होगा।
क्यों है?
Liquidity trap, big volume breakout या absorption जैसे pro-level analysis सही तरीके से तभी identify होते हैं जब सही history देखी जाए।
कम lookback (छोटी window) से liquidity detection इतना fast हो जाता है कि हर छोटी volume spike भी ज़ोन बन जाती है (scalper/faster traders के लिए)।
बड़ी lookback (ज्यादा bars) से सिर्फ वे ही liquidity zones बनते हैं जो वास्तव में बहुत बार repeat हुए हों—ज्यादा reliable for swing/positional trading।
Intent (उद्देश्य/logic)
Chart पर liquidity detection को user strategy, asset type, और market behavior के हिसाब से customize करना।
Beginners को too many, irrelevant, या weak liquidity zones से बचाना और pro-users को rare yet powerful zone देने का विकल्प रखना।
System को practical, less noisy और adaptive बनाना।
User फ़ायदा (कैसे benefit लें?)
Fast/Scalping के लिए:
कम value रखें (5-10)—market में हर unusual volume पर liquidity zone दिखेगा, quick moves पकड़ पाएँगे।
Swing/Positional के लिए:
ज्यादा value रखें (20-30+)—सिर्फ high-impact, rarely changing, very important zone ही बनेगा, less noise!
Beginners simply experiment करके देख सकते हैं कि कौन सा value उसके chart और time-frame के लिए सबसे उपयोगी है।
Liquidity trap, fake breakout या panic entry का खतरा/liquidity drying zones आसानी से spot।
Pro-traders advanced tuning से ultra-specific zones बना सकते हैं।
Example:
अगर liqLook = 20, तो indicator पिछले 20 bars का volume average करेगा — और जब current volume उससे कहीं ऊपर जाएगा, तभी liquidity zone बनेगा।
छोटा देखना है तो कम value, बड़ी swing trade या safe zone चाहिए तो ज्यादा value।
निष्कर्ष:
Liquidity Lookback (Adaptive) हर user को अपने chart, trading style और strategy की जरूरत के अनुसार adaptive liquidity zones दिखाने का 100% control देता है — जिससे market trap, fake moves से बचना बहुत आसान हो जाता है और हर real move instantly identify होता है!
Liquidity Vol Multiplier (liqFactor)
क्या है?
यह एक float (जैसे—0.9, 1.2, 1.5 etc.) parameter है, जिससे user यह define करता है कि liquidity zone तब ही बनाना है जब current candle का volume, average liquidity volume (past liqLook bars का average) के कितने गुना से ज़्यादा हो।
यानी—market में unusual, real liquidity तभी highlight करनी है जब वो ordinary से काफी ऊपर हो।
क्यों है?
हर price action, reversal या breakout real volume पर ही बनता है—but, अगर हर छोटी volume spike को भी liquidity मान लें तो chart useless/overcrowded लगने लगेगा।
यह multiplier control देता है कि सिर्फ genuinely big money movement या rare event पर ही liquidity zone बने—regular/fake volume moves filter हो जाएँ।
Intent (logic/लक्ष्य)
System को noise-free, only big/true liquidity detect करना सिखाना, ताकि beginners बार-बार irrelevant signals से परेशान न हों।
Pro-users को smart-money वाली entries और true institutional action जल्दी और भरोसेमंद तरीके से दिखाना।
All-purpose—हर strategy, time-frame, asset type के हिसाब से practical tuning option देना।
User फ़ायदा (कैसे use करें/benefit)
Aggressive/Fast trades:
Liquidity vol multiplier कम रखें (0.8—1.0)—system छोटी-छोटी unusual moves को भी zones मानेगा (quick scalp या volatile moves के लिए)।
Conservative/Swing trades:
High value (1.2—2.0)—liquidity zone तभी बनेगा जब market में वाकई बड़ा order या participants move करें; गलती से fake zones आ ही नहीं सकते।
Beginners—अगर chart पर बहुत ज़्यादा liquidity zones दिख रहे हो तो value बढ़ा दें, कम दिख रहे हैं तो घटा दें।
Real power/trap zones हमेशा instantly मिलेंगे—entry, stoploss, या reversal सब safe, reliable और high-probability बन जाएगा।
Helps to avoid “false liquidity”—यानी normal या weak volume को ignore करके सिर्फ real/big action point दिखाएगा।
Example:
अगर liqFactor = 0.9 है, और avg liquidity 1L volume है—तो current volume 90,000 या उससे ज़्यादा होने पर ही liquidity zone बनेगा।
अगर liqFactor = 1.5 है—तो 1.5L से ऊपर volume हो तो ही zone बनेगा—system simply ignore कर देगा सब ordinary or dull market move।
निष्कर्ष:
Liquidity Vol Multiplier से liquidity detection real और practical रहता है—market के हर user के लिए chart साफ, entry high quality, और real risk management full control में।
Manual tuning करके ultra-personalized trading edge लेना super easy!
बिल्कुल! अब हम Dashboard के हर section को detailing में लेंगे—
हर parameter/intent की theory (ट्रेडर के लिए क्या फायदा?) और उसके नीचे LIVE code में logic कैसे काम कर रहा है दोनों बताएँगे, ताकि beginner और pro-trader दोनों को pure practical clarity मिले।
Dashboard Section: Intent HTF (dashboardIntent)
User Parameter / Intent क्या है?
Intent HTF बताता है कि higher time frame (HTF)—जैसे 1H, 4H, daily, जो भी आपने select किया—उस पर market का असली, पक्का bias क्या है:
BULLISH INTENT (HTF) — buyers overall control में हैं: उपर जाने की संभावना strongest है।
BEARISH INTENT (HTF) — sellers control में हैं: नीचे जाने/गिरावट की संभावना ज्यादा।
NO CLEAR INTENT — market sideways, indecisive या trend/fluctuation साफ नहीं है…entry करना risky हो सकता है।
यह Indicator कैसे Decide करता है? (आसान practical भाषा में)
बड़े Time Frame की Candle को Observe करना:
Indicator selected HTF पर candle का open, close, high, low, और volume देखता है (main chart time-frame से अलग window_tf setting के हिसाब से).
Biggest Volume & Move Compare करना:
पीछे lookback_sup जितनी candles में से, biggest candle body, biggest volume और percentage body निकालता है।
फिर percentile logic (जैसे top 80% percentile) देखता है—मतलब क्या current move उस historical data के comparison में वाकई unusual है?
Strict Signal Check:
अगर:
Candle का close उसके open से ऊपर है (for Bullish) और वह पिछले swing/high को भी cross कर रही है,
और volume/body/apni percentile threshold को beat कर रही है
…तभी intent बनेगा “HTF BULLISH”।
Vice versa अगर close नीचे, swing low से भी नीचे, और बाकी signals pass हो—तो “HTF BEARISH”।
अगर कोई भी strict condition fulfill नहीं होती, intent रहेगा “NO CLEAR INTENT”—यानि sideways/chop.
Persistent logic:
Intent बार-बार तड़ातड़ बदलता नहीं—एक बार बनी bias सिर्फ तभी change होगी, जब साफ-साफ opposite पक्का signal मिले।
इससे chart bar-bar flip नहीं करता—trader discipline और confidence में रहता है।
Trader को क्या Practical Benefit है?
Beginner — अब confuse नहीं होगा क्योंकी “market का real trend क्या है” सीधे dashboard पर लिखकर मिलेगा; कोई guess-work नहीं।
Pro-trader — directional bias के खिलाफ trade नहीं करेगा, risk-reward हमेशा optimal बनेगा।
Market sideways हो तो NO CLEAR INTENT दिखेगा, यानि extra discipline—trade avoid या wait करना easy लगेगा।
Example:
आपने 1H window चुनी। पिछली बार trend strong buyers वाला था, आज candle open से ऊपर, unusual volume, previous high breakout—system बोलेगा: BULLISH INTENT (HTF)
Market टेढ़ी, unclear—system NO CLEAR INTENT बोलेगा: avoid करो, या छोटी quantity में patience रखो।
नोट:
Intent HTF आपको winning side पर बने रहने, trap से बचने और हर big move के पहले reliable confirmation लेने की power देता है—कोई भी loss, overtrading और panic यहां से control में आ जाता है!
HTF Bias (persistentBiasMsg, htfBiasMsg)
क्या है - User की भाषा में:
“HTF Bias” ये बताता है कि बड़े time-frame (जैसे 1 घंटे, 4 घंटे, 1 दिन) पर market का असली माहौल क्या है — buyers के favor में (Bullish), sellers के favor में (Bearish), या market undecided/sideways (Chop) है।
Dashboard के बॉक्स में हमेशा updated रहता है — जिससे कोई भी trader instantly पहचान ले कि बड़े players का mood किस तरफ है।
Indicator इसका bias कैसे निकालता है—आसान भाषा में Logic:
HTF की Big Candle और Volume देखना:
Indicator main chart से ऊपर, एक और बड़े time-frame (जैसे 1H, 4H, 1D) पर market की बड़ी candle (उसका open, close, high, low) और उसका volume बहार ले आता है.
Historical Data से सबसे तेज़, शार्प move पकड़ना:
अब वह पीछे कुछ चुनी हुई बड़ी candles देखता है (user की lookback setting जितनी), और उनमें से सबसे बड़ी candle body, सबसे बड़ी volume, और सबसे बड़ा percentage body (size/length) निकालता है.
फिर इन values का percentile अप्लाई करता है (जैसे top 80% वाली candles).
Decision Point बनाना:
अब Indicator ये judge करता है:
क्या current HTF candle का close ज्यादा है open से?
क्या उसने पिछले swing/high को break किया?
क्या volume और candle का size उस बाकी historical data में सबसे बड़ा (या percentile के हिसाब से high) है?
अगर हां — तो यह मालूम होता है कि buyers/sellers ने बड़े time-frame पर सच्चा control दिखाया!
Bias assign करना (Bullish/Bearish/Chop):
अगर सब signal मिल जाएं और price ऊपर बंद हो, volume/body पुरानों से बड़ा हो तो — “HTF: Bullish”
अगर सब signal, पर price नीचे बंद हो, volume/body बड़े हों तो — “HTF: Bearish”
अगर signal clear नहीं है (कोई strong move या unusual volume/size नहीं) — “HTF: Chop” (मतलब न खरीदो न बेचो)
Bias Stable रखने का System:
Indicator bias को बार-बार flashy तरीके से नहीं बदलता!
जब तक clear और पक्की opposite signal ना मिले, bias पुराने वाले पर ही रहता है — जिससे हर बार का mood trustworthy और panic-free feel होता है.
Trader के लिए Practical Result:
आपको chart देखते ही जल्दी पता चल जायेगा — आज, इस time-frame पर market का बाप कौन है: buyers, sellers, या कोई भी नहीं!
आप बिना किसी doubt या panic के entry/exit plan कर सकते हैं — बस bias check करें और उसी direction की trade पर ज़ोर दें.
Beginners मार्केट के छोटे trap/fake-out से बच सकते हैं, Pro-trader कई time-frame strategies safe बना सकते हैं.
Simple Example:
मान लीजिए आप 15min chart देख रहे हैं, पर dashboard में “HTF Bias: Bullish” दिख रहा है (window_tf = 1H):
इसका मतलब hourly chart पर buyers की पकड़ है.
आप शांत mind से shorter chart पर buy setup में ही focus करेंगे!
जब तक bias flip न हो — only buy-side priority. Market sideways हो तो trade बचें.
Dashboard Section: Chart Action (chartAction)
User Parameter / Intent क्या है?
Chart Action यह डिसाइड करता है कि अभी main chart time-frame पर user को क्या action लेना चाहिए—BUY (खरीदें), SELL (बेचें), या WAIT (रुकें, कोई trade मत लें).
यह signal पूरा system के सारे rules, filters, trend strengths और user-selected options के साथ निकलता है—ताकि हर trade disciplined, practical और प्रूफ वाला हो.
Logic – Chart Action कैसे निकाला जाता है? (आसान words में)
System दो तरफ के इशारे देखता है:
Strong Trend:
System चेक करता है कि recent candles में majority bars एक ही साइड हैं (जैसे ज्यादातर green/bullish या red/bearish), और price moving average (trendBarCount वाली SMA) के ऊपर (long) या नीचे (short) है।
User Intent (Special Price Action Signals):
खास events जैसे wick analysis, absorption, unusual breakout, range expansion—इनमें से कोई strong signal active है या नहीं।
Rules – Signal किस logic से मिलते हैं:
BUY:
अगर strong trend long active हो (कई candles लगातार आगे),
या कोई भी user-intent वाली bullish signal ON हो (जैसे wick reversal, unusual breakout आदि)
=> तब “BUY”
SELL:
अगर strong trend short active हो (कई candles लगातार नीचे),
या bearish price action signal मिले
=> तब “SELL”
WAIT:
ऊपर में से कोई condition पूरी नहीं हो रही
=> कोई trade नहीं—“WAIT”
Why so strict?
System में दोनों—Trend & User Intent logics लें—ताकि fake move, sideways/trap से बचाव हो।
Signal तभी मिले जब सच्चा momentum या clear signal हो—false entry से बचाव!
Trader को Practical Result क्या मिलेगा?
Dashboard पर एकदम clear दिखेगा—“BUY” (green), “SELL” (red), या “WAIT” (yellow)
Beginners को कभी overtrade या बिना logic entry नहीं मिलेगी; chart action सिर्फ real, filters पास करने वाले मौके पर ही देगा।
Pro-Trader को signal-triggering full transparency और quick action—सिर्फ actionable मौके, कोई guess, कोई overconfidence नहीं।
WAIT की हालत में trader खुद-ब-खुद discipline में रहेगा और नो-ट्रेड का मज़ा समझेगा (best protection!)।
यह Logic background में कैसे चलता है? (सरल शब्दों में)
Indicator हर candle पर पूरी logic चेक करता है—trend score, price SMA, user enabled filters और price action triggers।
जैसे ही कोई strong buy या sell signal confidencely बनेगा—dashboard में action update हो जाएगा।
System कभी force entry नहीं देगा—अपने आप “WAIT” if कोई condition ना मिले.
Simple Example:
लगातार कई green bar, price average से ऊपर—system तरह का एक strong trend देखता है—फिर sudden unusual breakout candle (with big volume) आ गई—chart action: BUY।
Market अजीब/sideways—ना trend score पूरा, ना कोई action trigger—chart action: WAIT।
Strong red trend चला और sudden downside expansion candle—chart action: SELL।
Dashboard Section: TrendScore Long/Short
User Parameter / Intent क्या है?
यह cell आपको एक ही नजर में दिखाता है कि पिछली X candles (जितना “Trend Bar Lookback” set किया है) में कितनी candles बिना किसी confusion एकदम bullish direction में हैं—और कितनी bearish.
Format हमेशा — LongCount / ShortCount
जैसे: 5/2 का मतलब: 5 bullish, 2 bearish bar (trendBarCount=7).
Logic – यह TrendScore कैसे निकलता है?
Recent Candle Analysis:
Indicator अपनी selected window (e.g. पिछले 7 candles) में हर bar check करता है:
अगर bar का close, open से ज्यादा है: उसे bullish मानता है (LongCount +1)
अगर bar का close, open से कम है: उसे bearish मानता है (ShortCount +1)
Neutral candles (close = open) को ignore किया जा सकता है.
Count Store करा जाता है:
LongCount और ShortCount दोनों अलग-अलग number में store होते हैं.
Result Dashboard पर Show होता है:
यानि जैसे जैसे market direction बदलती है, trendScore dynamicaly update होता है.
Table cell में यह pair — “LongCount/ShortCount” — दिखता है.
Trader को Practical Benefit:
Quick Read:
एक हिस्से में कितने bars buyers ने control किया, कितने sellers ने—instantly दिख जाता है.
Market Mood:
अगर Long/Short count बराबर या ज्यादा short है तो समझ जाएं कि trend weak है—WAIT, no trade!
अगर Long बहुत ज्यादा है, short कम—Strong bullish momentum, safe entry; vice-versa bearish.
Beginner Friendly:
खुद manually candle गिनने की जरूरत नहीं—trendScore से हर beginner/confused trader direction clarity पा सकता है.
Strategy Tuning:
Swing, scalping या positional—हर setup के लिए lookback adjust कर सकते हैं, trendScore से फुर्तीला या slow trend देख सकते हैं.
Example:
Suppose आपने trendBarCount = 7,
पिछले 7 bars में 6 bullish, 1 bearish — TrendScore: 6/1 (Strong uptrend!)
अगर 2 long, 5 short — 2/5 (Strong downtrend!)
अगर 3/4, 4/3 — मतलब trend बराबर/sideways — Avoid rash trading.
Dashboard Section: Reason (WHY)
User Parameter / Intent क्या है?
Reason (WHY) user को बिलकुल साफ-साफ बताता है कि अभी dashboard जो trade action बता रहा है (BUY/SELL/WAIT), उसका सबसे बड़ा, सबसे मजबूत कारण क्या है।
यानी — system मुझे entry क्यों दे रहा है? किस filter या logic से ये action निकला?
Logic – Reason कैसे निकलता है? (Simple, Practical Explanation)
सब Active Price Action और Trend दाखिल पढ़ना:
Indicator हर candle पर यह देखता है कि कौन सा signal या filter सबसे ज्यादा powerful काम कर रहा है।
जैसे: unusual breakout (बड़ा range + volume), wick reversal (lower/upper wick extra बड़ा signal), absorption (high vol + special close), strong trend, या expansion candle आदि।
Priority/Order of Reasons:
Code एक-एक करके सबसे potent (ज्यादा weight वाला) reason को check करता है—
सबसे पहले unusual breakout है? तो वही reason।
नहीं, तो wick analysis—वह है तो वही।
ऐसे ही absorption, expansion, strong trend—जैसे जैसे logic pass करता है, first one को ही reason दिखा देता है।
अगर कोई भी खास signal active नहीं, ना trend-score, ना price-action —
Reason: “Wait/No Clear Signal”
Live Reason in Dashboard:
जैसे ही कोई नई candle बनेगी, reason bar/bar auto-update होता है, ताकि हर trade से पहले user को एक line में solid justification मिले।
Trader को Practical Benefit:
Complete Clarity:
आपको instantly पता चल जाएगा —entry मिली तो वह किस price action या trend signal से मिली।
No Blind Trust:
FAITH से नहीं—logic समझ के entry/exit लें।
Beginner या advanced trader—reason भटकेगा नहीं!
System Debug & Learn:
अगर बार-बार रीजन "Wait/No Clear Signal" दिखाए — patience रखें!
और जो भी signal आता है, उसकी price pattern instant chart पर match कर सकते हैं—pattern पहचानना आसान।
Transparency:
System कभी भी hidden logic पे trade फँसाएगा नहीं—सामने reason मिलेगा।
नोट:
Reason (WHY) cell हर trader को ultra-confidence देता है—signal का base, reasoning, और validation हर entry से पहले always ready!
Dashboard के बाकी logic भी चाहिए हों तो बताइए!Dashboard Section: Reason (WHY)
User Parameter / Intent क्या है?
“Reason (WHY)” dashboard cell आपको live बताता है:
इस candle पर trade का जो सिग्नल मिला (BUY/SELL/WAIT), उसका सबसे बड़ा कारण क्या था?
आपको पता चलता है, सिग्नल trend से आया, unusual breakout से, wick analysis से, दबाव या absorption से — या कोई reason ही नहीं, इसलिए WAIT signal।
Logic – कैसे Decide होता है? (आम भाषा में):
सारी Filters और Signals को Check करना:
हर बार system सारे price action filters एक-एक करके देखता है, जैसे:
क्या unusual breakout हुआ? (बहुत बड़ा range और volume)
क्या wick analysis से बार reversal signal मिला?
क्या volumetric absorption signal दिखी?
क्या expansion candle बना?
क्या strong trend pattern मिला?
इन सब signals में जिसे सबसे strong priority मिली है, वही as main reason चुनी जाएगी।
Order of Importance (Priority):
सबसे पहले unusual breakout trigger है? — तो वही.
फिर wick analysis — signal है तो वही.
ऐसे ही absorption, expansion, trend—जिसको पहले logic trigger हुआ उसे reason बना देंगे।
अगर कोई खास signal नहीं तो — “Wait/No Clear Signal”.
Reason Dashboard पर instant update होता है:
जैसे ही candle बनेगी, reason field auto-update — जिससे entry से पहले पता चले “सिग्नल का असली आधार क्या है?”।
Trader को फायदा:
कभी भी “blind trust” या confusion नहीं—हर action का open मनाव “सबूत” मिलता है।
सीखने के लिए — हर signal पर उस price pattern/logic को खुद तुरंत सीख सकेंगे।
प्रो और beginner दोनों — reason देख कर समझ सकते हैं कि कितना weighty/trusted signal मिला है।
अगर बार-बार “Wait/No Clear Signal” दिखे—entry से बचें, patience रखें।
Dashboard Section: TrendScore Long/Short
User Parameter / Intent क्या है?
यह section सीधा-सीधा आपको बताता है कि पिछली X candles (जितनी आपने “Trend Bar Lookback” सेट की है, जैसे 7) में से कितनी bullish बनीं (Long score), और कितनी bearish (Short score)।
फॉर्मैट: LongCount / ShortCount
जैसे: 5 / 2
मतलब: 7 में से 5 bars buyers के हाथ में, 2 bars sellers के।
Logic—कैसे निकलता है? (आसान भाषा में)
Candle-by-Candle Count:
Indicator, कहिए की एक छोटा सा loop चलाता है — पिछली जितनी candles आपने “trendBarCount” में select की उतनी।
हर candle की direction check करता है:
अगर close > open (green) → Long score +1
अगर close < open (red) → Short score +1
Result Store:
जितनी bullish bars मिलीं, उतना “Long”; bearish bars, उतना “Short”।
Table में यह pair साथ में show होता है — जैसे 5/2 या 3/4।
Live Auto-Update:
जैसी नई candle बनेगी, TrendScore update हो जाएगा — market का latest mood instantly दिख जाएगा।
Trader को Practical Benefit:
Instant Trend Strength:
Momentum देखना easy—buyers का domination है या sellers का, या बराबरी।
Trap/Fake Trend से Protection:
अगर Long और Short score करीब-करीब बराबर—market sideways या uncertain, entry avoid कर सकते हैं।
अगर Long बहुत ज्यादा—strong bullish trend (buying signal रिजि्ड बना रहेगा), vice versa short के लिए।
No Manual Count:
Beginner को बिना count किए candles का trend पता चलेगा—झंझट खत्म।
Strategy Tuning:
Aggressive trader small lookback/fast trend tune करें; conservative बड़ा lookback सेट करें—पूरा control!
Examples:
6/1: यानी पिछले 7 bars में 6 बार buyers ने win किया—momentum बहुत strong है!
3/4: दोनों almost same—trend weak या reversal zone, caution रखो।
0/7: केवल sellers, अतिवादी bearish—discipline maintain।
Summary:
TrendScore आपको instantly market के side का “real” हाल बताता है—entry से पहले intuition नहीं, clear number देखकर disciplined decision लो!
क्या है?
ये आपको दिखाता है कि “पिछली जितनी candles आप सेट करोगे” (जैसे 7), उनमें से कितनी bars bullish थीं (long score), कितनी bearish (short score)।
Logic कैसे चलता है?
Indicator हर बार पिछली X candles को देखता है।
अगर कोई bar की closing ऊपर (open से ऊपर) है — उसे bullish मानेगा (long score +1)
अगर नीचे — bearish (short score +1)
सबकी गिनती हो गई —
तो Dashboard में दिख जाएगा,
Example:
6/1 → 6 bullish, 1 bearish (strong uptrend)
2/5 → 2 bullish, 5 bearish (downtrend)
3/4 → बराबर – trend कमजोर है
जैसे-जैसे नई candle बनेगी, यह score भी auto-update रहेगा।
Trader को क्या फायदा?
बिना manually गिने, trend का सही हाल instantly पता लगेगा।
अगर दोनों तरफ का score नज़दीक है (3/4 या 4/3), तो समझो market चक्कर में है—cautious रहो, फंसने का chance।
एक साइड बहुत ज्यादा है (6/1, 7/0)—तो confidence से उसी तरफ entry/की planning करो।
निष्कर्ष:
TrendScore आपका सबसे तेज़, simplest “market mood thermometer” है—trend strong है, weak है या confusing—बस एक cell में दिख जाएगा!
Dashboard Section: Strong Trend (Long/Short)
User Parameter / Intent क्या है?
यह cell आपको तुरंत बताता है कि “अभी market में trend कितना पक्का, मजबूत और reliable है”—
YES (long) /
YES (short)
एक या दोनों side में।
यानी—क्या अभी buyers/sellers का जोर इतना है कि system उसे strong trend माने?
Logic—कैसे Decide होता है? (आसान/practical explaination)
TrendScore Threshold Check:
System सबसे पहले देखता है:
आपके चुने गए window (जैसे trendBarCount = 7) में, bullish या bearish bars का total score trendScoreMin से ज्यादा है या नहीं?
(जैसे min = 5, तो 7 में कम से कम 5 बार एक ही साइड हों।)
Price Position:
सिर्फ count काफी नहीं — check करता है कि अभी price अपनी average से ऊपर (long) या नीचे (short) भी है या नहीं।
Bulls के लिए: closing average से ऊपर
Bears के लिए: closing average से नीचे
Result Assign:
अगर दोनों conditions pass हों (count + average)—
तो “Strong Trend Long” (YES)
या “Strong Trend Short” (YES)
बाकी case में blank/empty यानी कोई strong trend नहीं।
Dashboard Cell:
Display:
अगर दोनों side strong हों: YES/YES
बस long: YES/
बस short: /YES
दोनों empty: /
Trader को Practical Benefit:
Fake move/trap से बचाव:
अगर strong trend नहीं दिखता है तो avoid करें—सिर्फ real momentum पर ही trade करो!
Entry confirmation:
Pro trader इस cell के YES आने पर ही aggressive setup लेता है—otherwise patience/avoid.
Quick Crosscheck:
Beginner को instantly समझ आ जाएगा—buy-side entry only तब लूँ जब YES (long), sell-side तब जब YES (short)
No guess, only discipline:
Trend कमजोर है—धैर्य रखो, system खुद बताएगा कब confident हो!
Examples:
**YES/ ** (Long side full strong trend, short weak)
** /YES** (Short side strong trend, long weak)
YES/YES (Very rare, usually trend reversal moment)
** /** (No strong trend, high risk, wait!)
निष्कर्ष:
Strong Trend cell सिर्फ high-probability, high-momentum setups के लिए GREEN/SIGNAL देता है—बाकी time patience सिखाता है। Trade हमेशा safest, trap से दूर!
Dashboard Section: HTF Vol/Body
User Parameter / Intent क्या है?
यह cell आपको higher time frame (HTF) पे दो चीजें real-time में दिखाता है:
V: (Volume) बड़ी candle पर आया actual volume कितना है
B: (Body %) उस HTF की candle का body percentage कितना है
यानी—market के बड़े trend या reversal के समय unusual volume और candle body size देखकर आप instantly समझ सकते हैं कि कितना मजबूत momentum या move आया।
Logic—कैसे Calculate होता है? (आसान/practical language)
HTF का डेटा उठाओ:
Indicator आपकी chosen विंडो (जैसे 1H, 4H) की candle को देखता है—उसका volume (V), open, close, high, low values।
Volume Calculation (V):
V: सिर्फ current HTF candle का volume ही नहीं दिखाता,
बल्कि पताि लेता है percentile logic के हिसाब से unusual/highest volume का adaptive average क्या है।
Compare भी करता है: क्या अभी volume “normal से बहुत बड़ा” है (यानी big move possible)?
Body Percentage (B):
B: Candle body (open-close) को पूरे candle ke range (high-low) से percentage में निकालता है:
जितना यह % ज्यादा, उतना momentum मांगा जाता है!
यानी, छोटी body = indecisive, बड़ी body = strong trend bar.
Dashboard Cell:
Show करता है:
“V: actual-vol / B: actual-body%”
Live auto-update होता है हर नई candle पे।
Trader को Practical Benefit:
Big Players का Action Quickly देखना:
अगर किसी HTF candle पे असामान्य volume या बड़ी body% दिखे, आप तुरंत समझ सकते हैं—market में institutions, big money एक्टिव है, breakout/trend reversal का chance ज्यादा है।
Trap & Fakeout Avoidance:
Low volume or low body% = sideways या fake move, entry avoid करें।
बहुत high volume + big body% = real break, momentum, safe entry!
Strategy Adaptation:
Swing, positional, or multiday trades के लिए, high volume/body% वाले candle का इंतजार ही आपके setup को next-level safe बना देगा।
Examples:
V: 152000 / B: 85.4 → HTF पे high unusual volume और body भी strong (great signal for big move)
V: 34000 / B: 12 → Volume low, body% छोटा (avoid, sideways/trap move possible)
V: 90000 / B: 35 → Normal volume, average trend; no urgent action
Summary:
HTF Vol/Body आपको instantly बताता है कि market में real action हो रहा है या noise; entry, exit या wait—all decision one glance में तय!
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action
1. Introduction
1.1 Overview
ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active.
The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured:
import TradingView/ta/10 as tvta
// Determine lower timeframe string based on user choice and chart resolution
string lower_tf_breakout = use_custom_tf_input ? custom_tf_input :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
// Request up/down volume (both positive)
= tvta.requestUpAndDownVolume(lower_tf_breakout)
Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity.
Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate.
Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history.
Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”)
2. Price‑Structure Backbone
Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations.
2.1 What it draws
• Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded.
• Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly.
• Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels.
• Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick.
2.2 Key settings
• length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels.
• pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings.
• point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded.
• label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price.
• Styling inputs for trend lines, horizontal lines and labels (color, width and line style).
Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots.
These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle.
The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable.
3. Breakout Module
3.1 Concept
This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled.
3.2 Inputs
• lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly.
• vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout.
• rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution.
• ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases).
• use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe.
• Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width.
3.3 Detection logic
1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume.
2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window.
3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive.
4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history.
5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1).
6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector.
Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move.
Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold.
4. Market Phase Module (Volume Only)
4.1 Concept
Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table.
4.2 Inputs
• phase_period_len: Number of bars over which to compute sums and ratios for phase detection.
• phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume.
• strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation).
• Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles.
• show_phase_module: Toggles the entire phase detection subsystem.
• show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected.
4.3 Detection logic
The module computes three families of statistics over the volume window defined by phase_period_len:
1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends.
2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction.
3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues.
The algorithm then combines these signals:
• For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case.
• For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category.
If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” .
4.4 Outputs
• Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral).
• On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences.
Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began.
Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window.
5. OB/OS Spike Module
5.1 What overbought/oversold means here
In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate.
5.2 Inputs
• minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print.
• syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals.
• Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike.
• Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable.
• Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width.
5.3 Detection logic
1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos.
2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS.
3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold).
4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought.
5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line.
Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels.
Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow.
6. Buyer/Seller Trap Module
6.1 Concept
A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps.
6.2 Inputs
• trap_lookback_len: Window length used to rank extremes and detect sweeps.
• trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep.
• trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.)
• trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed.
• Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps.
• Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart.
6.3 Scoring logic
The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped):
1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick.
2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick.
3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand.
4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa.
5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average.
The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars.
Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label.
Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range.
7. Sharp Move Module
7.1 Concept
Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation.
7.2 Inputs
• sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels.
• sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window.
• sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax.
• sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks.
• sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range).
• sharpScoreRisk: Minimum number of conditions that must be true to print a risk label.
• sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation.
• sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution).
• Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves.
• Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn.
7.3 Conditions (six per side)
For each side, the indicator computes six boolean conditions and sums them to form a score:
1. Dominance (instant and cumulative):
– Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume.
– Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks).
2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish).
3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window.
4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range).
5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile.
6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed.
Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores.
7.4 Scoring and labels
• Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar.
• Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1).
• Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled.
Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move.
Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window.
8. Market‑Maker / Spread‑Capture Module
8.1 Concept
Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets.
8.2 Inputs
• scalpLookback: Window length used to compute volume averages.
• scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple.
• scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement.
• scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%.
• Label settings: ATR length, multiplier, size, colors, connector style and width.
• Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels.
8.3 Signal
When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled.
Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window.
9. Money Flow Module
9.1 Concept
To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow.
9.2 Inputs
• mf_period_len_mf: Number of bars used for summing buy and sell dollars.
• Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width.
• Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed.
9.3 Calculations
• Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $.
• Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum().
• Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate.
• Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences.
Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context.
In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period.
10. Info Table
10.1 Purpose
When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active.
10.2 Symbols
• ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money.
• MA — Moving average. In the table it shows the average value of a series over the lookback period.
• Σ (Sigma) — Cumulative sum over the chosen lookback period.
• Δ (Delta) — Difference between buy and sell values.
• B / S — Buyer and seller share of total volume, expressed as percentages.
• Ref. Price — Reference price for breakout calculations, based on the latest pivot.
• Status — Indicates whether a breakout condition is currently active (True) or has failed.
10.3 Row definitions
1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period.
2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity.
3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period.
4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume.
5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period.
6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume.
7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more.
8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed.
9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral.
10. Money Flow – The final rows display dollar amounts and status:
– ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period.
– ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum.
– Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively.
– Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral.
– Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral.
The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out).
11. Conclusion & Final Remarks
This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart.
A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window.
Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
Balanced Big Wicks (50/50) HighlighterThis open-source indicator highlights candles with balanced long wicks (50/50 style)—that is, candles where both upper and lower shadows are each at least 30–60% of the full range and within ~8% of each other, while retaining a substantial body. This specific structure often reflects indecision or liquidity sweeps and can precede strong breakout moves.
How It Works (Inputs and Logic)
Min wick % (each side): 30–60% of candle range
Max body %: up to 60% of range (preserves strong body presence)
Equality tolerance: wicks within 8% of each other
ATR filter (multiples of ATR14): ensures only significant-range candles are flagged
When a “50/50” candle forms, it’s visually colored and labeled; audibly alertable.
How to Use It
Long setup: price closes above the wick-high → potential long entry (SL below wick-low, TP = 1:1).
Short setup: price closes below wick-low → potential short entry (SL above wick-high, TP = 1:1).
Especially effective on 5–15 minute scalping charts when aligned with high-volume sessions or HTF trend context.
Why This Indicator Is Unique
Unlike standard wick or doji voters, this script specifically filters for candles with a strong body and symmetrical wicks, paired with a range filter, reducing noise significantly.
Important Notes
No unrealistic claims: backtested setups indicate high occurrence of clean breakouts, though performance depends on market structure.
Script built responsibly: uses real-time calculations only, no future-data lookahead.
Visuals on the published chart reflect default input values exactly.
Information Theory Market AnalysisINFORMATION THEORY MARKET ANALYSIS
OVERVIEW
This indicator applies mathematical concepts from information theory to analyze market behavior, measuring the randomness and predictability of price and volume movements through entropy calculations. Unlike traditional technical indicators, it provides insight into market structure and regime changes.
KEY COMPONENTS
Four Main Signals:
• Price Entropy (Deep Blue): Measures randomness in price movements
• Volume Entropy (Bright Blue): Analyzes volume pattern predictability
• Entropy MACD (Purple): Shows relationship between price and volume entropy
• SEMM (Royal Blue): Stochastic Entropy Market Monitor - overall market randomness gauge
Market State Detection:
The indicator identifies seven distinct market states:
• Strong Trending (SEMM < 0.1)
• Weak Trending (0.1-0.2)
• Neutral (0.2-0.3)
• Moderate Random (0.3-0.5)
• High Randomness (0.5-0.8)
• Very Random (0.8-1.0)
• Chaotic (>1.0)
KEY FEATURES
Advanced Analytics:
• Signal Strength Confluence: 0-5 scale measuring alignment of multiple factors
• Entropy Crossovers: Detects shifts between accumulation and distribution phases
• Extreme Readings: Identifies statistical outliers for potential reversals
• Trend Bias Analysis: Directional momentum assessment
Information Dashboard:
• Real-time entropy values and market state
• Signal strength indicator with visual highlighting
• Trend bias with directional arrows
• Color-coded alerts for extreme conditions
Customizable Display:
• Adjustable SEMM scaling (5x to 100x) for optimal visibility
• Multiple line styles: Smooth, Stepped, Dotted
• 9 table positions with 3 size options
• Professional blue color scheme with transparency controls
Comprehensive Alert System - 15 Alert Types Including:
• Extreme entropy readings (price/volume)
• Crossover signals (dominance shifts)
• Market state changes (trending ↔ random)
• High confluence signals (3+ factors aligned)
HOW TO USE
Reading the Signals:
• Entropy Values > ±25: Strong structural signals
• Entropy Values > ±40: Extreme readings, potential reversals
• SEMM < 0.2: Trending market favors directional strategies
• SEMM > 0.5: Random market favors range/scalping strategies
Signal Confluence:
Look for multiple factors aligning:
• Signal Strength ≥ 3.0 for higher probability setups
• Background highlighting indicates confluence
• Table shows real-time strength assessment
Timeframe Optimization:
• Short-term (1m-15m): Entropy Length 14-22, Sensitivity 3-5
• Swing Trading (1H-4H): Default settings optimal
• Position Trading (Daily+): Entropy Length 34-55, Sensitivity 8-12
EDUCATIONAL APPLICATIONS
Market Structure Analysis:
• Understand when markets are trending vs. ranging
• Identify accumulation and distribution phases
• Recognize extreme market conditions
• Measure information content in price movements
Information Theory Concepts:
• Binary entropy calculations applied to financial data
• Probability distribution analysis of returns
• Statistical ranking and percentile analysis
• Momentum-adjusted randomness measurement
TECHNICAL DETAILS
Calculations:
• Uses binary entropy formula: -
• Percentile ranking across multiple timeframes
• Volume-weighted probability distributions
• RSI-adjusted momentum entropy (SEMM)
Customization Options:
• Entropy Length: 5-100 bars (default: 22)
• Average Length: 10-200 bars (default: 88)
• Sensitivity: 1.0-20.0 (default: 5.0, lower = more sensitive)
• SEMM Scaling: 5.0-100.0x (default: 30.0)
IMPORTANT NOTES
Risk Considerations:
• Indicator measures probabilities, not certainties
• High SEMM values (>0.5) suggest increased market randomness
• Extreme readings may persist longer than expected
• Always combine with proper risk management
Educational Purpose:
This indicator is designed for:
• Market structure analysis and education
• Understanding information theory applications in finance
• Developing probabilistic thinking about markets
• Research and analytical purposes
Performance Tips:
• Allow 200+ bars for proper initialization
• Adjust scaling and transparency for optimal visibility
• Use confluence signals for higher probability analysis
• Consider multiple timeframes for comprehensive analysis
DISCLAIMER
This indicator is for educational and analytical purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making trading decisions.
Version: 5.0
Category: Oscillators, Volume, Market Structure
Best For: All timeframes, trending and ranging markets
Complexity: Intermediate to Advanced
Liquidity Break Probability [PhenLabs]📊 Liquidity Break Probability
Version: PineScript™ v6
The Liquidity Break Probability indicator revolutionizes how traders approach liquidity levels by providing real-time probability calculations for level breaks. This advanced indicator combines sophisticated market analysis with machine learning inspired probability models to predict the likelihood of high/low breaks before they happen.
Unlike traditional liquidity indicators that simply draw lines, LBP analyzes market structure, volume profiles, momentum, volatility, and sentiment to generate dynamic break probabilities ranging from 5% to 95%. This gives traders unprecedented insight into which levels are most likely to hold or break, enabling more confident trading decisions.
🚀 Points of Innovation
Advanced 6-factor probability model weighing market structure, volatility, volume, momentum, patterns, and sentiment
Real-time probability updates that adjust as market conditions change
Intelligent trading style presets (Scalping, Day Trading, Swing Trading) with optimized parameters
Dynamic color-coded probability labels showing break likelihood percentages
Professional tiered input system - from quick setup to expert-level customization
Smart volume filtering that only highlights levels with significant institutional interest
🔧 Core Components
Market Structure Analysis: Evaluates trend alignment, level strength, and momentum buildup using EMA crossovers and price action
Volatility Engine: Incorporates ATR expansion, Bollinger Band positioning, and price distance calculations
Volume Profile System: Analyzes current volume strength, smart money proxies, and level creation volume ratios
Momentum Calculator: Combines RSI positioning, MACD strength, and momentum divergence detection
Pattern Recognition: Identifies reversal patterns (doji, hammer, engulfing) near key levels
Sentiment Analysis: Processes fear/greed indicators and market breadth measurements
🔥 Key Features
Dynamic Probability Labels: Real-time percentage displays showing break probability with color coding (red >70%, orange >50%, white <50%)
Trading Style Optimization: One-click presets automatically configure sensitivity and parameters for your trading timeframe
Professional Dashboard: Live market state monitoring with nearest level tracking and active level counts
Smart Alert System: Customizable proximity alerts and high-probability break notifications
Advanced Level Management: Intelligent line cleanup and historical analysis options
Volume-Validated Levels: Only displays levels backed by significant volume for institutional-grade analysis
🎨 Visualization
Recent Low Lines: Red lines marking validated support levels with probability percentages
Recent High Lines: Blue lines showing resistance zones with break likelihood indicators
Probability Labels: Color-coded percentage labels that update in real-time
Professional Dashboard: Customizable panel showing market state, active levels, and current price
Clean Display Modes: Toggle between active-only view for clean charts or historical view for analysis
📖 Usage Guidelines
Quick Setup
Trading Style Preset
Default: Day Trading
Options: Scalping, Day Trading, Swing Trading, Custom
Description: Automatically optimizes all parameters for your preferred trading timeframe and style
Show Break Probability %
Default: True
Description: Displays percentage labels next to each level showing break probability
Line Display
Default: Active Only
Options: Active Only, All Levels
Description: Choose between clean active-only view or comprehensive historical analysis
Level Detection Settings
Level Sensitivity
Default: 5
Range: 1-20
Description: Lower values show more levels (sensitive), higher values show fewer levels (selective)
Volume Filter Strength
Default: 2.0
Range: 0.5-5.0
Description: Controls minimum volume threshold for level validation
Advanced Probability Model
Market Trend Influence
Default: 25%
Range: 0-50%
Description: Weight given to overall market trend in probability calculations
Volume Influence
Default: 20%
Range: 0-50%
Description: Impact of volume analysis on break probability
✅ Best Use Cases
Identifying high-probability breakout setups before they occur
Determining optimal entry and exit points near key levels
Risk management through probability-based position sizing
Confluence trading when multiple high-probability levels align
Scalping opportunities at levels with low break probability
Swing trading setups using high-probability level breaks
⚠️ Limitations
Probability calculations are estimations based on historical patterns and current market conditions
High-probability setups do not guarantee successful trades - risk management is essential
Performance may vary significantly across different market conditions and asset classes
Requires understanding of support/resistance concepts and probability-based trading
Best used in conjunction with other analysis methods and proper risk management
💡 What Makes This Unique
Probability-Based Approach: First indicator to provide quantitative break probabilities rather than simple S/R lines
Multi-Factor Analysis: Combines 6 different market factors into a comprehensive probability model
Adaptive Intelligence: Probabilities update in real-time as market conditions change
Professional Interface: Tiered input system from beginner-friendly to expert-level customization
Institutional-Grade Filtering: Volume validation ensures only significant levels are displayed
🔬 How It Works
1. Level Detection:
Identifies pivot highs and lows using configurable sensitivity settings
Validates levels with volume analysis to ensure institutional significance
2. Probability Calculation:
Analyzes 6 key market factors: structure, volatility, volume, momentum, patterns, sentiment
Applies weighted scoring system based on user-defined factor importance
Generates probability score from 5% to 95% for each level
3. Real-Time Updates:
Continuously monitors price action and market conditions
Updates probability calculations as new data becomes available
Adjusts for level touches and changing market dynamics
💡 Note: This indicator works best on timeframes from 1-minute to 4-hour charts. For optimal results, combine with proper risk management and consider multiple timeframe analysis. The probability calculations are most accurate in trending markets with normal to high volatility conditions.
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis
Why IDKFA?
Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system.
Core Features
Order Blocks Detection
Automatically identifies institutional order blocks using pivot high/low analysis
Extends blocks dynamically until price interaction occurs
Bullish blocks (demand zones) and bearish blocks (supply zones)
Customizable opacity and extend functionality
Advanced Volume Profile
Real-time volume profile calculation for multiple session types
Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)
Mode 1: Side-by-side bull/bear volume display
Mode 2: Overlapped volume display with percentage analysis
Shows buying vs selling pressure at each price level
LVN/HVN Area Detection
Low Volume Nodes (LVN): Areas below VAL where price moves quickly
High Volume Nodes (HVN): Areas above VAH with strong resistance
NPOC (Naked Point of Control): Single print areas within Value Area
Volume-based gradient coloring shows relative activity levels
Smart Fibonacci Retracements
Auto-detects trend direction for proper fibonacci orientation
Dynamic color coding: Red levels in uptrends, Gold in downtrends
Special 88.6% level turns lime green in downtrends
Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6%
Intelligent Signal System
Works best on higher timeframes
Identifies high-probability reversal setups at key levels
Buy signals: Large bearish rejection followed by bullish reclaim
Sell signals: Large bullish rejection followed by bearish breakdown
Signals only trigger near significant support/resistance areas
Signal Analysis & Usage Guidelines
Buy Signal Mechanics
The buy signal triggers when:
Previous candle shows significant bearish movement (minimum ATR multiplier)
Current candle reclaims a configurable percentage of the previous candle's range
Price is near a key support level (order blocks, fibonacci, volume levels)
Sell Signal Mechanics
The sell signal triggers when:
Previous candle shows significant bullish movement (minimum ATR multiplier)
Current candle rejects below a configurable percentage of the previous candle's range
Price is near a key resistance level (order blocks, fibonacci, volume levels)
When to TAKE Signals
High Probability Buy Signals:
Signal appears AT or BELOW the VAL (Value Area Low)
Signal occurs at bullish order block confluence
Price is in LVN area below VAL (momentum acceleration zone)
Signal aligns with fibonacci 61.8% or 78.6% support
Multiple session POC levels provide support confluence
Previous session's VAL acting as current support
High Probability Sell Signals:
Signal appears AT or ABOVE the VAH (Value Area High)
Signal occurs at bearish order block confluence
Price is in HVN area above VAH (heavy resistance zone)
Signal aligns with fibonacci 61.8% or 78.6% resistance
Multiple session POC levels provide resistance confluence
Previous session's VAH acting as current resistance
When to AVOID Signals
Avoid Buy Signals When:
Signal appears ABOVE the VAH (buying into resistance)
Price is in HVN red zones (high volume resistance areas)
No clear support structure below current price
Volume profile shows heavy selling pressure (high bear percentages)
Signal occurs during low-volume periods between major sessions
Multiple bearish order blocks exist below current price
Avoid Sell Signals When:
Signal appears BELOW the VAL (selling into support)
Price is in LVN green zones (momentum could continue)
No clear resistance structure above current price
Volume profile shows heavy buying pressure (high bull percentages)
Signal occurs during Asian session ranges without clear direction
Multiple bullish order blocks exist above current price
Volume Profile Context for Signals
Understanding Bull/Bear Percentages:
70%+ Bull dominance at a level = Strong support expected
70%+ Bear dominance at a level = Strong resistance expected
50/50 Split = Neutral zone, less predictable
Use percentages to gauge conviction behind moves
POC (Point of Control) Interactions:
Signals above POC in uptrend = Higher probability
Signals below POC in downtrend = Higher probability
Signals against POC bias require extra confirmation
POC often acts as magnetic level for price return
Trading Strategies
Strategy 1: VAL/VAH Bounce Strategy
Wait for price to approach VAL (support) or VAH (resistance)
Look for signal confirmation at these critical levels
Enter with tight stops beyond the Value Area
Target opposite boundary or next session's levels
Strategy 2: Order Block + Volume Confluence
Identify order block alignment with VAL/VAH
Wait for signal within the confluence zone
Enter on signal with stop beyond order block
Use LVN areas as acceleration zones for targets
Strategy 3: LVN/HVN Strategy
LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume
HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals
NPOC Areas: "Fill Zones" - price often returns to fill single print gaps
Strategy 4: Multi-Session Analysis
Use Daily/Weekly for major structure context
Use 4H for intermediate levels
Use 1H for precise entry timing
Ensure all timeframes align before taking signals
Strategy 5: Fibonacci + Volume Profile
Buy signals at 61.8% or 78.6% fibonacci near VAL
Sell signals at 61.8% or 78.6% fibonacci near VAH
Use 88.6% level as final support/resistance before major moves
50% level often aligns with POC for confluence
Signal Quality Assessment
Grade A Signals (Highest Probability):
Signal at VAL/VAH with order block confluence
Fibonacci level alignment (61.8%, 78.6%)
Volume profile shows 70%+ dominance in signal direction
Multiple timeframe structure alignment
Signal occurs during high-volume sessions (London/NY)
Grade B Signals (Moderate Probability):
Signal near POC with some confluence
Fibonacci 50% or 38.2% alignment
Mixed volume profile readings (50-70% dominance)
Some timeframe alignment present
Signal during overlap sessions
Grade C Signals (Lower Probability):
Signal with minimal confluence
Weak fibonacci alignment or none
Volume profile neutral or against signal
Conflicting timeframe signals
Signal during low-volume periods
Risk Management Guidelines
Position Sizing Based on Signal Quality:
Grade A: Standard position size
Grade B: Reduced position size (50-75%)
Grade C: Minimal position size (25%) or skip entirely
Stop Loss Placement:
Beyond order block boundaries
Outside Value Area (VAL/VAH)
Below/above fibonacci confluence levels
Account for session volatility ranges
Profit Targets:
First target: Opposite VAL/VAH boundary
Second target: Next session's key levels
Final target: Major order blocks or fibonacci extensions
Credits & Attribution
Original components derived from:
Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0)
Volume Profile elements inspired by @LonesomeTheBlue's volume profile script
Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0)
Auto Fibonacci Retracement code (public domain)
Significant enhancements and modifications include:
Advanced LVN/HVN detection and visualization
Bull/Bear percentage analysis for Mode 2/3
Comprehensive alert system with market context
Integrated buy/sell signals at key levels
Performance optimizations and extended session support
Enhanced Mode 2/3 with percentage pressure analysis
Important Disclaimers
This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately.
Best Practices
Never trade signals blindly - always consider volume profile context
Wait for confluence between multiple tools before entering
Respect the Value Area - avoid buying above VAH or selling below VAL
Use session context - Asian ranges vs London/NY breakouts
Practice proper risk management - position size based on signal quality
Understand the bigger picture - use multiple timeframes for context
Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
