Adaptive Risk Management [sgbpulse]1. Introduction:
Adaptive Risk Management is an advanced indicator designed to provide traders with a comprehensive risk management tool directly on the chart. Instead of relying on complex manual calculations, the indicator automates all critical steps of trade planning. It dynamically calculates the estimated Entry Price , the Stop Loss location, the required Position Size (Quantity) based on your capital and risk limits, and the three Take Profit targets based on your defined Reward/Risk ratios. The indicator displays all these essential data points clearly and visually on the chart, ensuring you always know the potential risk-reward profile of every trade.
ARM : The A daptive R isk M anagement every trader needs to ARM themselves with.
2. The Critical Importance of Risk Management
Proper risk management is the cornerstone of successful trading. Consistent profitability in the market is impossible without rigorously defining risk limits.
Risk Control: This starts by setting the maximum risk amount you are willing to lose in a single trade (Risk per Trade), and limiting the total capital allocated to the position (Max Capital per Trade).
Defining Boundaries (Stop Loss & Take Profit): It is mandatory to define a technical Stop Loss and a Take Profit target. A fundamental rule of risk management is that the Reward/Risk Ratio (R/R) must be a minimum of 1:1.
3. Core Features, Adaptivity, and Customization
The Adaptive Risk Management indicator is engineered for use across all major trading styles, including Swing Trading, Intraday Trading, and Scalping, providing consistent risk control regardless of the chosen timeframe.
Real-Time Dynamic Adaptivity: The indicator calculates all risk management parameters (Entry, Stop Loss, Quantity) dynamically with every new bar, thus adapting instantly to changing market conditions.
Trend Direction Adjustment: Define the analysis direction (Long/Uptrend or Short/Downtrend).
Intraday Session Data Control: Full control over whether lookback calculations will include data from Extended Trading Hours (ETH), or if the daily calculations will start actively only from the first bar of Regular Trading Hours (RTH).
Status Validation: The indicator performs critical status checks and displays clear Warning Messages if risk conditions are not met.
4. Intuitive Visualization and Real-Time Data
Dynamic Tracking Lines: The Entry Price and Stop Loss lines are updated with every new bar. Crucially, the length of these lines dynamically reflects the calculation's lookback range (e.g., the extent of Lookback Bars or the location of the confirmed Pivot Point), providing a visual anchor for the calculated price.
Risk and Reward Zones: The indicator creates a graphical background fill between Entry and Stop Loss (marked with the risk color) and between Entry and the Reward Targets (marked with the reward color).
Essential Information Labels: Labels are placed at the end of each line, providing critical data: Estimated Entry Price, Stock/Contract Quantity (Quantity), Total Entry Amount, Estimated Stop Loss, Risk per Share, Total Financial Risk (Risk Amount), Exit Amount, Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3.
4.1. Data Window Metrics (16 Full Series)
The indicator displays 16 full data series in the TradingView Data Window, allowing precise tracking of every calculation parameter:
Entry Data: Estimated Entry, Quantity, Entry Amount.
Risk Data (Stop Loss): Estimated Stop Loss, Risk per Share, Risk Amount, Exit Amount.
Reward Data (Take Profit): Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3.
4.2. Instant Tracking in the Status Line
The indicator displays 6 critical parameters continuously in the indicator's Status Line: Estimated Entry, Quantity, Estimated Stop Loss, Estimated Take Profit 1/2/3.
5. Detailed Indicator Inputs
5.1 General
Focused Trend: Defines the analysis direction (Uptrend / Downtrend).
Max Capital per Trade: The maximum amount allocated to purchasing stocks/contracts (in account currency).
Risk per Trade: The maximum amount the user is willing to risk in this single trade (in account currency).
ATR Length: The lookback period for the Average True Range (ATR) calculation.
5.2 Intraday Session Data Control
Regular Hours Limitation : If enabled, all daily lookback calculations (for Entry/Stop Loss anchor points) will begin strictly from the first Regular Trading Hours (RTH) bar. This limits the lookback range to the current RTH session, excluding preceding Extended Trading Hours (ETH) data. Only relevant for Intraday charts. Default: False (Off)
5.3 Entry Inputs
Entry Method: Selects the entry price calculation method:
Current Price: Uses the closing price of the current bar as the estimated entry point (Market Entry).
ATR Real Bodies Margin :
- Uptrend: Calculates the Maximum Real Body over the lookback period + the calculated safety margin.
- Downtrend: Calculates the Minimum Real Body over the lookback period - the calculated safety margin.
ATR Bars Margin :
- Uptrend: Calculates the Maximum High price over the lookback period + the calculated safety margin.
- Downtrend: Calculates the Minimum Low price over the lookback period - the calculated safety margin.
Lookback Bars: The number of bars used to calculate the extremes in the ATR-based entry methods (Relevant only for ATR Real Bodies Margin and ATR Bars Margin methods).
ATR Multiplier (Entry): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to determine the estimated Entry Price.
5.4 Risk Inputs (Stop Loss)
Risk Method: Selects the Stop Loss price calculation method.
ATR Current Price Margin :
- Uptrend: Entry Price - the calculated safety margin.
- Downtrend: Entry Price + the calculated safety margin.
ATR Current Bar Margin :
- Uptrend: Current Bar's Low price - the calculated safety margin.
- Downtrend: Current Bar's High price + the calculated safety margin.
ATR Bars Margin :
- Uptrend: Lowest Low over lookback period - the calculated safety margin.
- Downtrend: Highest High over lookback period + the calculated safety margin.
ATR Pivot Margin :
- Uptrend: The first confirmed Pivot Low point - the calculated safety margin.
- Downtrend: The first confirmed Pivot High point + the calculated safety margin.
Lookback Bars: The lookback period for finding the extreme price used in the 'ATR Bars Margin' calculation.
ATR Multiplier (Risk): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to place the estimated Stop Loss. Note: If set to 0, the Stop Loss will be placed exactly at the technical anchor point, provided the Minimum Margin Value is also 0.
Minimum Margin Value: The minimum price value (e.g., $0.01) the Stop Loss margin buffer must be.
Pivot (Left / Right): The number of bars required on either side of the pivot bar for confirmation (relevant only for the ATR Pivot Margin method).
5.5 Reward Inputs (Take Profit)
Show Take Profit 1/2/3: ON/OFF switch to control the visibility of each Take Profit target.
Reward/Risk Ratio 1/ 2/ 3: Defines the R/R ratio for the profit target. Must be ≥1.0.
6. Indicator Status/Warning Messages
In situations where the Stop Loss location cannot be calculated logically and validly, often caused by a mismatch between the configured Focused Trend (Uptrend/Downtrend) and the actual price action, the indicator will display a warning message, explaining the reason and suggesting corrective action.
Status Message 1: Pivot reference unavailable
Condition: The Stop Loss is set to the "ATR Pivot Margin" method, but the anchor point (Pivot) is missing or inaccessible.
Message Displayed: "Pivot reference unavailable. Wait for valid price action, or adjust the Regular Hours Limitation setting or Pivot Left/Right inputs."
Status Message 2: Calculated Stop Loss is unsafe
Condition: The calculated Stop Loss is placed illogically or unsafely relative to the trend direction and the Entry price.
Message Displayed: "Calculated Stop Loss is unsafe for current trend. Wait for valid price action or adjust SL Lookback/Multiplier."
7. Summary
The Adaptive Risk Management (ARM) indicator provides a seamless and systematic approach to trade execution and risk control. By dynamically automating all critical trade parameters—from Entry Price and Stop Loss placement to Position Sizing and Take Profit targets—ARM removes emotional bias and ensures every trade adheres strictly to your predefined risk profile.
Key Benefits:
Systematic Risk Control: Strict enforcement of maximum capital allocation and risk per trade limits.
Adaptivity: Dynamic calculation of prices and quantities based on real-time market data (ATR and Lookback).
Clarity and Trust: Clear on-chart visualization, precise data metrics (16 series), and unambiguous Status/Warning Messages ensure transparency and reliability.
ARM allows traders to focus on strategy and analysis, confident that their execution complies with the core principles of professional risk management.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Cari skrip untuk "charts"
Multi-MA + Trend StatusMulti-MA + Trend Status is a streamlined trend analysis tool designed to simplify market state identification using a robust Moving Average (MA) crossover logic. By analyzing the relationship between price and three key Moving Averages (Fast, Medium, and Slow), this indicator instantly classifies the market into one of 9 distinct trend phases, displayed as a clean, non-intrusive text overlay on your chart.
Created by ivanpsh (MIT License).
Key Features
9 Distinct Trend States: Automatically detects and displays specific market conditions:
🟢 Bullish Phases: Uptrend, Bullish Crossover, Fast Bullish Crossover, Bottom Bounce.
🔴 Bearish Phases: Downtrend, Bearish Crossover, Fast Bearish Crossover, Top Pullback, Dead Cat Bounce.
Visual Simplicity: Displays the current market status in a large, transparent text overlay (Bottom Right by default) that provides instant clarity without cluttering your analysis.
Multi-Timeframe (MTF) Support: Monitor the trend of a higher timeframe (e.g., Daily) while trading on a lower timeframe (e.g., 5-minute) without switching charts.
Fully Configurable MAs:
Types: Supports SMA, EMA, RMA (Wilder's), WMA, and VWMA.
Lengths: Fully adjustable lengths (Defaults: 20, 50, 250).
Source: Calculation source is customizable (Close, Open, High, Low, HL2, etc.).
Integrated MA Overlay: Optionally view the actual Moving Average lines on the chart.
Color Coded: Fast (Purple), Medium (Orange), and Slow (Red) for easy differentiation.
Toggle: Lines are visible by default but can be hidden instantly via settings.
How It Works
The indicator logic compares the current Price against three Moving Averages (Default: 20, 50, 250) to determine the market "Health":
Uptrend: Price > 20 > 50 > 250 (Strongest Bullish Signal)
Downtrend: Price < 20 < 50 < 250 (Strongest Bearish Signal)
Crossovers: Identifies early reversals when Fast/Medium MAs cross the Slow MA.
Bounces & Pullbacks: Identifies specific retracement patterns (e.g., "Bottom Bounce" or "Top Pullback") where price interacts with MAs in a counter-trend move.
Settings Guide
Indicator Timeframe: Select the timeframe used for calculations (Default: Chart).
MA Type: Choose the averaging method (Default: SMA).
Visuals: Customize text size, screen position, and opacity.
Show 'No Match' Text: By default, the text overlay hides if the market is choppy and fits none of the 9 specific states. You can enable this to see a "No Logic Match" status instead.
This script is open-source under the MIT license. Feel free to use, study, and modify it for your own trading systems.
BB & MTF EMAs + DPOC/WPOC v0.1This indicator combines multiple trend and support/resistance tools into a single overlay with specific customization for the Indian Standard Time (IST) session.
Features Included:
Bollinger Bands: 20-period SMA Basis, 1.5 StdDev.
4 Multi-Timeframe EMAs:
EMA 1: 9 Length (1m timeframe)
EMA 2: 20 Length (3m timeframe)
EMA 3: 50 Length (15m timeframe)
EMA 4: 200 Length (15m timeframe)
Session POCs (IST):
Daily POC (DPOC): Calculated 05:30-05:29 IST. Extends for full 24h session.
Weekly POC: Calculated from Monday 05:30 IST Open. Extends for full 7-day week.
Controls:
Toggle visibility for all individual components.
"Show Historical" toggle for pivots to see past levels or keep charts clean.
2 days ago
Release Notes
Description:
This indicator combines multiple trend and support/resistance tools into a single overlay with specific customization for the Indian Standard Time (IST) session.
Features Included:
Bollinger Bands: 20-period SMA Basis, 1.5 StdDev.
4 Multi-Timeframe EMAs:
EMA 1: 9 Length (1m timeframe)
EMA 2: 20 Length (3m timeframe)
EMA 3: 50 Length (15m timeframe)
EMA 4: 200 Length (15m timeframe)
Session POCs (IST):
Daily POC (DPOC): Calculated 05:30-05:29 IST. Extends for full 24h session.
Weekly POC: Calculated from Monday 05:30 IST Open. Extends for full 7-day week.
Controls:
Toggle visibility for all individual components.
"Show Historical" toggle for pivots to see past levels or keep charts clean.
TTM Squeeze Pro Enhanced v1.5.1 [pyrevo]# TTM Squeeze Pro Enhanced
**Version:** 1.5.1
**Author:** pyrevo
**License:** MPL 2.0
## Credits
This indicator is a collective work based on the contributions of the TradingView community:
* **John Carter**: Creator of the original TTM Squeeze and TTM Squeeze Pro concepts.
* **Lazybear**: Original interpretation of the TTM Squeeze (Squeeze Momentum Indicator).
* **Makit0**: Evolution of Lazybear's script to factor in TTM Squeeze Pro upgrades (Squeeze PRO Arrows).
* **marsrides**: Some aesthetics solutions.
* **Beardy_Fred**: The base code from which this enhanced version was derived.
## Overview
**TTM Squeeze Pro Enhanced** is a professional-grade momentum and volatility indicator designed to identify explosive breakout opportunities. It is a refined version of the community's collective works, with amendments primarily to the Squeeze Conditions and visual aesthetics to provide a clearer, more actionable reading of market state.
### The Concept
For those unfamiliar with the TTM Squeeze, it is a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average) relate to Keltner Channels (average true range bands) compared with the momentum of the price action.
The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down.
### TTM Squeeze vs. TTM Squeeze Pro
* **Original TTM Squeeze:** Uses a 1.5 ATR Keltner Channel.
* **TTM Squeeze Pro (Enhanced):** Uses 1.0, 1.5, and 2.0 ATR Keltner Channels.
This helps differentiate between levels of squeeze (compression). The greater the compression (Bollinger Bands moving deeper into tighter Keltner Channels), the more potential for explosive moves.
## Indicator Analysis
### 1. Squeeze Detection (Dots)
The colored dots along the zero line represent the state of market volatility. This enhanced version uses a distinct color palette to indicate compression levels:
* **🔴 Red Dots (High Compression):** Extreme squeeze. One or both Bollinger Bands are inside the 1.0 ATR Keltner Channel.
* **🟠 Orange Dots (Medium Compression):** Significant squeeze. One or both BBs are inside the 1.5 ATR Keltner Channel.
* **⚪ Gray Dots (Low Compression):** Standard squeeze. One or both BBs are inside the 2.0 ATR Keltner Channel.
* **◽ Light Gray Dots (No Squeeze):** Volatility is normal or expanding. Squeeze has "fired".
### 2. Momentum (Histogram)
The histogram bars show price momentum relative to the squeeze:
* **Bright Green:** Positive, increasing momentum (Bullish).
* **Dark Green:** Positive, decreasing momentum (Bullish exhaustion).
* **Bright Red:** Negative, increasing momentum (Bearish).
* **Dark Red:** Negative, decreasing momentum (Bearish exhaustion).
### 3. Dual Momentum System
An optional secondary system to gauge trend strength:
* **Fast & Slow Momentum Lines:** Moving averages of the momentum to help identify crossovers.
* **Trend Crossovers:** Triangle markers indicate when fast momentum crosses slow momentum.
## Ideal Scenario
As the ticker enters the squeeze, **Gray dots** would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict, **Orange dots** would highlight a medium compression. As the price action and momentum continues to compress, a **Red dot** shows warning of high compression.
As price action leaves the squeeze, the coloring would reverse (Red → Orange → Gray → Light Gray). Any compression squeeze is considered "fired" at the first Light Gray dot that appears.
*Note: This is an ideal progression, however any type of squeeze sequence may appear at anytime.*
## Entry and Exit Guide
* **Entry:** John Carter recommends entering a position after at least 5 dots of compression (Gray/Orange/Red) or waiting for the first "No Squeeze" dot (Light Gray) to appear with confirming momentum.
* **Exit:** Exit on the second bar of decreasing momentum (Dark Green or Dark Red), or remain in the position after confirming a continuing trend through a separate indicator.
## Settings & Customization
* **Timeframe:** Built-in Multi-Timeframe (MTF) support allowing you to view higher-timeframe squeeze signals on lower-timeframe charts.
* **Appearance Modes:**
* **Default:** Standard enhanced palette.
* **Modern:** High-contrast palette (Teal/Red/Gold).
* **Classic MACD:** Traditional Blue/Orange line configuration.
* **Dashboard:** An on-chart table providing real-time data on squeeze status, momentum value, and trend strength.
FlowTrinity - Crypto Dominance Rotation IndexFlowTrinity — Crypto Dominance Rotation Index
(Tracks BTC / Stablecoin / Altcoin dominance flows with standardized oscillators)
⚪ Overview
FlowTrinity decomposes total crypto market structure into three capital-flow regimes — BTC dominance, Stablecoin dominance, and Altcoin dominance — each normalized into oscillator form. Additionally, a fourth histogram tracks Total Market Cap expansion/contraction relative to BTC+Stable capital, revealing underlying rotation pressure not visible in raw dominance charts.
Each component is standardized through SMA/STD normalization, producing smoothed 0–100 style oscillations that highlight overbought/oversold rotation extremes, risk-on/risk-off transitions, and capital cycle inflection zones.
⚪ Flow Components
Stablecoin Dominance Oscillator —White line
Measures the combined USDT + USDC share of market dominance.
High values indicate increased hedging behavior or sidelined capital.
Low values coincide with renewed risk appetite and capital deployment into crypto assets.
Altcoin Dominance Oscillator — Orange Line
Tracks the share of liquidity rotating into altcoins (Total – BTC – Stable).
Rising values indicate broad market expansion and speculative activity.
Falling values reflect flight-to-safety or concentration back into majors.
BTC Dominance Oscillator — Purple line(off by default
Normalized BTC dominance revealing transitions between Bitcoin-led markets and altcoin-led cycles. Useful for identifying BTC absorption phases vs. altcoins dispersion regimes.
Total–BTC–Stable MarketCap Difference Histogram — histogram
A normalized histogram of total market cap change minus BTC+Stable market cap change.
• Positive → altcoin segment expanding
• Negative → capital retreating into BTC or stables
Acts as a structural layer confirming or contradicting dominance-based signals.
Normalization Logic
All flows use SMA + standard deviation scaling (lookback 7 / smoothing 7), enabling consistent comparison across unrelated dominance and market-cap metrics.
⚪ Use Cases
• Identify shifts between BTC-led and alt-led markets
• Detect early signs of liquidity rotation
• If Stablecoin OSC is oversold, liquidity may soon rotate to BTC or Altcoins, signaling potential price moves.
• If Stablecoin OSC is overbought and Altcoin OSC is oversold, it can indicate an early buying opportunity in Altcoins.
• Watching these oscillator positions helps spot early market rotations and plan entries or exits.
snapshot
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice or investment guidance. Cryptocurrency trading involves significant risk; you are solely responsible for your trading decisions, based on your financial objectives and risk tolerance. The author assumes no liability for any losses arising from the use of this tool.
Green Day or Red Day?What it is:
This simple indicator provides immediate visual context by tinting the background of your chart Green or Red based on the asset's daily performance.
Who's it for?
It is designed for day traders and scalpers who operate on lower timeframes (1m, 5m, 15m) but need to remain aware of the overall daily direction without switching charts. It can be used in combination with the ORB strategy as a helpful tool to "feel" the trend when you're way out of the ORB range. But this indicator can be used by anyone regardless of trading style.
How it works:
This script pulls data from the daily timeframe regardless of the chart interval you are currently viewing. It compares the current price to a user-selectable reference point (either Yesterday's Close or Today's Open) to determine the background color.
Good Luck. May you make good trades!
Market Structure Shift (MSS) [Sword & Shield]MARKET STRUCTURE SHIFT (MSS)
A clean and focused indicator for identifying Market Structure Shifts in price action.
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WHAT IS MARKET STRUCTURE SHIFT (MSS)?
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A Market Structure Shift occurs when price breaks a significant swing high or swing low,
indicating a potential change in market direction. This indicator automatically detects
and plots these key levels.
BULLISH MSS: Price breaks above a previous swing high
BEARISH MSS: Price breaks below a previous swing low
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FEATURES
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CLEAN DISPLAY
- Shows only the last 2 MSS by default (1 bullish + 1 bearish)
- Keeps charts clean and focused on recent structure
- Automatically removes old MSS when new ones appear
CUSTOMIZABLE DETECTION
- Adjustable swing detection (left/right bars)
- Choose break confirmation method (Close or Wick)
- Fixed-length lines (no infinite extension by default)
SMART FILTERING
- Only plots one MSS per direction until opposite MSS occurs
- Prevents duplicate signals in the same direction
- Clear visual distinction between bullish (blue) and bearish (red)
CLEAN LABELS
- Text labels positioned above lines
- No background tooltips for cleaner appearance
- Color-matched to their respective MSS lines
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SETTINGS
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SWING DETECTION
- Swing Left Bars (default: 2)
- Swing Right Bars (default: 2)
- Higher values = more significant swings detected
BREAK CONFIRMATION
- Close: MSS confirmed when candle closes beyond level
- Wick: MSS confirmed when wick touches beyond level
DISPLAY OPTIONS
- Show Only Last 2 MSS: ON by default (keeps chart clean)
- Extend lines to the right: OFF by default (fixed-length lines)
- Line bars (when not extended): 50 bars (customizable)
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HOW IT WORKS
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DETECTION LOGIC
1. Identifies swing highs and swing lows using pivot detection
2. Monitors price action for breaks of these levels
3. Confirms break based on selected method (Close or Wick)
4. Plots MSS line at the broken level
FILTERING LOGIC
- Only one MSS per direction is allowed consecutively
- Example: If bullish MSS appears, no new bullish MSS until bearish MSS occurs
- This prevents multiple signals in trending markets
DISPLAY LOGIC
- When "Show Only Last 2 MSS" is enabled:
• Only the most recent bullish MSS is shown
• Only the most recent bearish MSS is shown
• Old MSS are automatically deleted when new ones appear
- When disabled: All historical MSS remain visible
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USAGE EXAMPLES
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FOR TREND IDENTIFICATION
- Bullish MSS = Potential uptrend beginning
- Bearish MSS = Potential downtrend beginning
- Use in conjunction with other indicators for confirmation
FOR ENTRY SIGNALS
- Wait for MSS to confirm trend change
- Enter on pullback to MSS level
- Use MSS as support/resistance
FOR SCALPING (Lower Timeframes)
- Swing Left/Right Bars: 2-3 (more sensitive)
- Break Confirmation: Close (more reliable)
- Show Only Last 2 MSS: ON (cleaner charts)
FOR SWING TRADING (Higher Timeframes)
- Swing Left/Right Bars: 5-10 (more significant swings)
- Break Confirmation: Close (avoid false breaks)
- Show Only Last 2 MSS: ON or OFF based on preference
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VISUAL DESIGN
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LINES
- Dashed style for easy identification
- Blue for bullish MSS
- Red for bearish MSS
- Fixed length (50 bars default) for cleaner appearance
LABELS
- "MSS" text positioned above each line
- No background for clean display
- Color-matched to line color
- Small size to avoid chart clutter
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CREDITS & LICENSE
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© Sword & Shield
This Pine Script code is subject to the terms of the Mozilla Public License 2.0
mozilla.org
Renko Scalp ScannerThis scanner is optimized for short term bursts for Renko.
DESCRIPTION: This indicator scans the 7 major forex pairs (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD) on 1-pip Renko charts. It ranks them from BEST (#1, top row) to WORST (#7, bottom row) based on a predictive score (0-100) that combines LIVE momentum (current run length, whipsaws, brick timing) + 24-HOUR HISTORICAL consistency (clean long runs, stability).
Higher score = longer, cleaner, more predictable runs ahead (backtested 74% hit rate for 5+ brick continuations).
HOW TO USE THE TABLE:
1. Add to a 1-second Renko chart (Traditional, Box Size: 0.0001 for non-JPY; 0.01 for JPY pairs).
2. RANK: Position 1–7 (green highlight on #1 = switch to this pair NOW).
3. PAIR: Symbol + direction arrow (↑=buy bias, ↓=sell bias).
4. SCORE: 0–100 total (≥85=monster run; ≥75=strong; ≥60=decent; <60=avoid).
5. RUN │ HIST% │ SEC: Current live run length │ % of 24h runs that were clean 8+ bricks │ Live avg seconds per brick (ideal 5–12s).
6. Trade the #1 pair in the arrow direction until whipsaw or score drops <75. Set alerts for score ≥83.
Backtested on 1-year data: Catches 84% of 10+ brick runners. Refreshes every second.
HTF Candles & Levels Visualizer - SRHTF Candles & Levels Visualizer is a clean higher‑timeframe visualization tool designed to complement any trading strategy by giving clear context of larger‑TF structure directly on your current chart. It plots the previous high and low for up to three user‑selectable timeframes, and draws them as extended levels with optional labels, making it easy to see where current price sits relative to key higher‑timeframe zones.
The script also renders compact proxy candles for each selected timeframe to the right of current price, so you can visually track HTF candle development without switching charts. Each HTF slot has independent settings: timeframe, color, number of displayed candles, and visibility toggles, along with global controls for line style, label size, candle spacing, and colors.
This tool does not generate trading signals; it focuses purely on multi‑timeframe context and market structure visualization to support your own entries, exits, and risk management.
Dynamic 15-Ticker Multi-Symbol Table 2025 EditionTitle:
Dynamic 15-Ticker Multi-Symbol Table 2025 Edition
Description:
This script provides a multi-ticker table for TradingView charts. It is fully open-source and free to use. The table displays up to 15 tickers, including SPY as the baseline symbol. The script updates in real-time on any timeframe.
Features:
SPY baseline: The first row always shows SPY for reference.
Custom tickers: Add up to 14 additional tickers via the input settings. Rows without tickers remain hidden.
Price and direction: Each ticker row displays the current price and an indicator of direction based on recent price movement.
RSI (14) indicator: Shows the current relative strength index value with a simple directional marker.
Volume formatting: Displays volume values in thousands, millions, or billions automatically. Volume change is indicated with directional markers.
Stable layout: The table uses alternating row colors for readability and maintains consistent row count without collapsing or disappearing rows.
Real-time updates: All displayed values refresh automatically on any chart timeframe.
How to use:
Add the script to your chart.
Enter your chosen tickers in the input settings. SPY will remain as the first ticker automatically.
Tickers not entered will remain hidden. When a ticker is removed, the row will be removed-dynamically.
Observe live prices, RSI values, and volume changes directly on your chart without switching symbols.
Additional notes:
The script is fully open-source; users are encouraged to modify or improve it.
No external links or references are required to understand its function.
This script does not repaint and does not require additional requests to update values.
Execution Heatmap v8 — Classic Blocks (Final Logic)This indicator visualizes real-time market context through a structured execution heatmap, representing multiple analytic dimensions in a compact on-chart panel. Designed for traders who rely on confluence-based decision making, it tracks the shifting behavior of price, volume, and structural regimes to help identify momentum shifts, exhaustion points, and directional conviction.
🔶 Overview
The Execution Heatmap v8 consolidates key elements from trend, volume, and momentum analysis into a single panel. Each row represents a core component of the execution model, colored dynamically to reflect bullish, bearish, neutral, or mixed states. The final block produces a BUY, SELL, or SELL-ALERT classification — fully aligned with the internal logic of the GOLDMASTER‑HUD framework.
🔸 Core Logic Components
VWAP Direction: Detects price bias relative to VWAP (overextended, below value, or neutral).
Impulse Engine: Evaluates momentum using RSI and MFI thresholds to determine directional energy.
Volume Surge: Highlights aggressive volume imbalances and determines the dominant side (bull or bear).
Fake Break Detection: Identifies false breakouts at recent swing extremes to flag potential reversals.
Regime Filter: Measures underlying trend structure using dual‑EMA alignment (20/50 EMA).
Pattern Recognition: Detects emerging HL (higher low) or LH (lower high) structures.
Structure Strength: Maps strong vs. weak structural phases based on regime and pattern alignment.
Final Signal Engine: Synthesizes all modules into actionable classifications:
BUY: Price structure supports trend continuation.
SELL‑ALERT: Early weakness or exhaustion detected within a strong up‑trend.
SELL: Confirmed reversal alignment (momentum, VWAP, volume, and structure all bearish).
WAIT: Caution when conditions remain inconclusive.
🟩🟥 Color‑Coded Heat Blocks
Each metric is represented as a colored cell:
Green: Bullish / upward bias
Red: Bearish / downward bias
Yellow: Neutral / weak / mixed
Dark gray: Undefined or transitional
⚙️ Customization
Adjustable panel position (bottom‑right, bottom‑left, top‑right, top‑left).
Non‑intrusive table layout optimized for overlaying on active charts.
Lightweight execution with minimal resource load, ideal for intraday use.
⭐ Silver HUD v14.6 ⭐Silver HUD v14.6 is an enhanced Pine Script v5 indicator for micro silver futures (SIL) trading on TradingView, featuring a compact 2-column bottom-right HUD with weighted scoring across 5 engines (trend, flow, momentum, PB, turbo), 2H structure arbitration, divergence detection, volume surge analysis, BUY/SELL arrows, and risk warnings. Expanded from v14.5 with dedicated DIV/VOL rows for better signal context on 5m charts.
Multi-Engine Scoring
Trend Engine
EMA20/50 alignment + VWAP direction (1.001%/0.999% thresholds): UP/DOWN/MIXED scores 100/60/20.
Flow Engine
CCIOBV (CCI20 + OBV EMA13 sync) + QQE (RSI14 smoothed with trailing volatility): dual UP/DOWN = strong flow (100), mixed (60).
Momentum
RSI14/MFI14 >55 (UP=100), <45 (DOWN=100), else NEUTRAL (60).
PB (Pullback)
EMA20 deviation: -0.4% to +1.2% = OK (100), ≥1.2% CHASE (70/40), DEEP (30/80 for long/short).
Turbo
ATR14 percentile (>70 EXPANDING, <30 FADE) + BB20 width percentile (<20 SQ): SQ+EXPANDING=BREAKOUT (100).
Weighted Totals
BUY: flow(30%)+mom(25%)+PB(25%)+trend(10%)+turbo(10%); SELL adjusts turbo(20%)/PB(15%). Thresholds: BUY≥75, SELL≥72.
Advanced Features
2H Arbitration
Swing HH/HL/LL/LH detection resolves BUY/SELL conflicts; UP (HH/HL) favors longs, DOWN (LL/LH) shorts.
Divergence
RSI-based: price HH without RSI HH = BEAR DIV; price LL without RSI LL = BULL DIV.
Volume Surge
2x 20-SMA or 80th percentile: BULL/BEAR SURGE (directional), SURGE (neutral).
Signals & Risk
Raw triggers filtered (no DEEP PB BUY, no DOWN trend BUY, UP flow required); final uses 2H tiebreaker. RISK flags DIV, surges, DEEP PB, trend conflicts, score ties. Tiny BUY/SELL arrows on raw signals.
HUD Layout
14-row table: TREND/FLOW/MOM/PB/TURBO/FINAL/BUY*/SELL*/2H/DIV/VOL/RISK/Threshold. Stars rate scores (★★★★★=90+), color-coded statuses, gold FINAL. Perfect for SIL scalpers needing confluence + risk at a glance.
FX OSINT - Institutional Midnight Intelligence For ForexFX OSINT — Institutional Midnight Intelligence For Forex
See Your FX Charts Like an Intelligence Briefing, Not a Guess
If you’ve ever stared at EURUSD or GBPJPY and thought:
Where is the real liquidity?
Is this move sponsored by smart money or just noise?
Am I buying into premium or discount?
…then FX OSINT is designed for you.
FX OSINT (Forex Open Source Intelligence) treats the FX market the way an analyst treats an investigation:
Collect open‑source signals from price, time, and volatility.
Map out liquidity, structure, and sessions in a repeatable way.
Present them in a clean, non‑cluttered dashboard so you can read context quickly.
No rainbow spaghetti. No 12 indicators stacked on top of each other. Just structured information, midnight visuals, and a clear read on what the market is doing right now.
Why FX OSINT Exists
Many FX traders run into the same problems:
Overloaded charts – multiple indicators fighting for space, none talking to each other.
Signals with no context – arrows that ignore structure, sessions, and liquidity.
Tools not tuned for FX – generic indicators that don’t care what pair you are on.
FX OSINT brings this together into one FX‑focused framework that:
Understands structure : BOS/CHOCH, swings, and trend across multiple timeframes.
Respects liquidity : sweeps, order blocks, and FVGs with controlled visibility.
Reads volatility & ADR : how far today’s range has developed.
Knows the clock : London, New York, and key killzones.
Scores confluence : a 0–100 engine that summarizes how much is lining up.
FX OSINT is built for traders who want structured, institutional‑style logic with a disciplined, midnight‑themed UI —not flashing buy/sell buttons.
1. Midnight Dashboard — Top‑Right Intelligence Panel
This panel acts as your compact “situation room”:
CONFLUENCE — 0–100 score blending trend alignment, volatility regime, sessions, liquidity events, order blocks, FVGs, and ADR context.
REGIME — Low / Building / Normal / Expansion / Extreme, driven by ATR relationships, so you know if you’re in chop, trend, or expansion.
HTF / MTF / LTF TREND — Higher‑, medium‑, and current‑timeframe bias in one place, so you see if you are trading with or against the larger flow.
ADR USED — How much of today’s typical range has already been consumed in percentage terms.
PIP VALUE — Approximate pip size per pair, including JPY‑style pairs.
Everything is bold, legible, and color‑coded, but the layout stays minimal so you can:
Look once → understand the context.
2. Structure, BOS, CHOCH — Smart‑Money‑Style Skeleton
FX OSINT tracks swing highs and lows, then shows how structure evolves:
Trend logic based on evolving swings, not just a moving average cross.
BOS (Break of Structure) when price expands in the direction of trend.
CHOCH (Change of Character) when behavior flips and the market structure changes.
Labels are selective, not spammy . You don’t get a tag on every minor wiggle—only when structure meaningfully shifts, so it’s easier to answer:
"Are we continuing the current leg, or did something actually change here?"
3. Liquidity Sweeps, Order Blocks & FVGs — The OSINT Layer
FX OSINT treats liquidity as a key information layer:
Liquidity sweeps — Detects when price spikes through recent highs/lows and then snaps back, flagging potential stop runs.
Order blocks — The last opposite candle before a displacement move, drawn as controlled boxes with limited lifespan to avoid clutter.
Fair Value Gaps (FVGs) — Three‑candle imbalances rendered as precise zones with a cap on how many can exist at once.
Under the hood, boxes are managed so your chart does not become a wall of old zones:
// Draw Order Blocks with overlap prevention
if isBullishOB and showOrderBlocks
if array.size(obBoxes) >= maxBoxes
oldBox = array.shift(obBoxes)
box.delete(oldBox)
newBox = box.new(bar_index , low , bar_index + obvLength, high ,
border_color = bullColor, bgcolor = bullColorTransp,
border_width = 2, extend = extend.none)
array.push(obBoxes, newBox)
Box limits keep the number of zones under control.
Borders and transparency are tuned so you still see price clearly.
You end up with a curated liquidity map , rather than a chart buried under every level price has ever touched.
4. Volatility, ADR & Sessions — Time and Range Intelligence
FX OSINT runs a Volatility Regime Analyzer and an ADR engine in the background:
Volatility regime — Five states (Low → Extreme) derived from fast vs. slow ATR.
ADR bands — Daily high/mid/low projected from the current daily open.
ADR used % — How far today’s move has traveled relative to its typical range.
On the time side:
Asia, London, New York sessions are softly highlighted with a single active background to avoid overlapping colors.
Killzones (e.g., London and New York opens) can be emphasized when you want to focus on where significant moves often begin.
Together, this helps you answer:
"What time is it in the trading day?"
"How stretched are we?"
"Is expansion just starting, or are we late to the move?"
5. ICT‑Style Add‑Ons — BOS/CHOCH, Premium/Discount, and Confluence
For modern FX / ICT‑inspired workflows, FX OSINT includes:
BOS / CHOCH labels — Clear structural shifts based on swings.
Premium / Discount zones — 25%, 50%, 75% levels of the daily range, so you know if you are buying discount in an uptrend or selling premium in a downtrend.
Confluence score — A single number summarizing how many conditions line up in the current context.
Instead of replacing your plan, FX OSINT compresses your checklist into the chart:
Structure
Liquidity
Session / Time
Volatility / ADR
Higher‑timeframe alignment
When these agree, the dashboard reflects it. When they don’t, it stays neutral and lets you see the conflict.
How To Use FX OSINT
FX OSINT is not a signal bot. It is an information engine that organizes context so you can apply your own plan.
A typical workflow might look like:
Start on higher timeframes (e.g., H4/D1) to form directional bias from structure, volatility regime, and ADR context.
Move to intraday timeframes (e.g., M15/H1) around your chosen sessions (London and/or New York).
Look for confluence :
HTF / MTF / LTF trends aligned.
Price in discount for longs or premium for shorts.
Recent liquidity sweep into a meaningful OB or FVG.
Confluence score at or above a level you consider significant.
Then refine entries using BOS/CHOCH on lower timeframes according to your own risk and execution rules.
FX OSINT aims to make sure you do not enter a trade without seeing:
Where you are in the day (ADR and sessions).
Where you are in the volatility cycle (regime).
Who currently appears in control (structure and trend).
Which liquidity was just targeted (sweeps and zones).
Design Choices and Scope
FX OSINT was designed around a few clear constraints:
FX‑focused — Logic and filters tuned for FX majors, minors, exotics, and metals. It is intended for FX markets, not for every possible asset class.
Open‑source — The full Pine Script code is available so you can read it, learn from it, and adapt it to your own workflow if needed.
Clear themes — Two main visual styles (e.g., dark institutional “midnight” and a lighter accent variant) with a focus on readability, not visual noise.
Chart‑friendly — Panels use fixed areas, session highlights avoid overlapping, and boxes are capped/pruned so the chart remains usable.
FX OSINT is for only Forex pairs, not anything else!
Hope you enjoyed and remember your Open Source Intelligence Matters 😉!
-officialjackofalltrades
12M Return Strategy This strategy is based on the original Dual Momentum concept presented by Gary Antonacci in his book “Dual Momentum Investing.”
It implements the absolute momentum portion of the framework using a 12-month rate of change, combined with a moving-average filter for trend confirmation.
The script automatically adapts the lookback period depending on chart timeframe, ensuring the return calculation always represents approximately one year, whether you are on daily, weekly, or monthly charts.
How the Strategy Works
1. 12-Month Return Calculation
The core signal is the 12-month price return, computed as:
(Current Price ÷ Price from ~1 year ago) − 1
This return:
Plots as a histogram
Turns green when positive
Turns red when negative
The lookback adjusts automatically:
1D chart → 252 bars
1W chart → 52 bars
1M chart → 12 bars
Other timeframes → estimated to approximate 1 calendar year
2. Trend Filter (Moving Average of Return)
To smooth volatility and avoid noise, the strategy applies a moving average to the 12M return:
Default length: 12 periods
Plotted as a white line on the indicator panel
This becomes the benchmark used for crossovers.
3. Trade Signals (Long / Short / Cash)
Trades are generated using a simple crossover mechanism:
Bullish Signal (Go Long)
When:
12M Return crosses ABOVE its MA
Action:
Close short (if any)
Enter long
Bearish Signal (Go Short or Go Flat)
When:
12M Return crosses BELOW its MA
Action:
If shorting is enabled → Enter short
If shorting is disabled → Exit position and go to cash
Shorting can be enabled or disabled with a single input switch.
4. Position Sizing
The strategy uses:
Percent of Equity position sizing
You can specify the percentage of your portfolio to allocate (default 100%).
No leverage is required, but the strategy supports it if your account settings allow.
5. Visual Signals
To improve clarity, the strategy marks signals directly on the indicator panel:
Green Up Arrows: return > MA
Red Down Arrows: return < MA
A status label shows the current mode:
LONG
SHORT
CASH
6. Backtest-Ready
This script is built as a full TradingView strategy, not just an indicator.
This means you can:
Run complete backtests
View performance metrics
Compare long-only vs long/short behavior
Adjust inputs to tune the system
It provides a clean, rule-driven interpretation of the classic absolute momentum approach.
Inspired By: Gary Antonacci – Dual Momentum Investing
This script reflects the absolute momentum side of Antonacci’s original research:
Uses 12-month momentum (the most statistically validated lookback)
Applies a trend-following overlay to control downside risk
Recreates the classic signal structure used in academic studies
It is a simplified, transparent version intended for practical use and educational clarity.
Disclaimer
This script is for educational and research purposes only.
Historical performance does not guarantee future results.
Always use proper risk management.
Trend Step Channel [BigBeluga]🔵 OVERVIEW
Trend Step Channel identifies directional bias by forming a dynamic volatility-based step channel. It detects trend shifts when candle lows close above the upper band (bullish) or when candle highs drop below the lower band (bearish). A step-style midline tracks the trend evolution, while an integrated dashboard shows price positioning percentages across multiple timeframes.
🔵 CONCEPTS
ATR-Based Channel — The indicator constructs upper and lower channel boundaries using ATR distance around a single adaptive trend line, providing automatic scaling with volatility.
Trend Direction Logic —
• Low above upper band → uptrend confirmation.
• High below lower band → downtrend confirmation.
Step Trend Line — A reactive midline that locks onto price swings, stepping upward or downward as new trend confirmations occur.
Channel Width — Defines the total volatility range around the midline; a wider channel smooths market noise, while a narrower one reacts faster.
Price Position Ratio — Calculates the relative position of the close within the channel, from 0% (bottom) to 100% (top).
🔵 FEATURES
Volatility-Adaptive Channel — Expands and contracts dynamically to match market volatility, maintaining consistent distance scaling.
Configurable MA Source — Choose from SMA, EMA, SMMA, WMA, or VWMA as the base smoothing method.
Color-Coded Step Line —
• Green indicates an uptrend.
• Orange indicates a downtrend.
Channel Fill Visualization — Semi-transparent fills highlight active volatility zones for clear trend identification.
Price Position Label — Displays a “<” marker and percentage at the channel edge showing how far the current close is from the lower or upper band.
Multi-Timeframe Dashboard —
• Displays alignment across 1H–5H charts.
• Each cell shows an arrow (↑ / ↓) with price % positioning.
• Cell background color reflects bullish or bearish bias.
Real-Time Updating — The channel, midline, and dashboard refresh dynamically every bar for continuous feedback.
🔵 HOW TO USE
Trend Confirmation —
• Bullish trend forms when candle low closes above the upper band.
• Bearish trend forms when candle high closes below the lower band.
Trend Continuation — Maintain bias while the step line color remains consistent.
Volatility Breakouts — Sudden candle breaks outside the band suggest new directional strength.
Dashboard Alignment — Confirm trend consistency across multiple timeframes before entering trades.
Entry Planning — In uptrends, consider entries near the lower band; in downtrends, focus on upper-band rejections.
Price Position Insight — Use the % label to judge whether price is extended (near 100%) or compressed (near 0%) within the channel.
🔵 CONCLUSION
Trend Step Channel delivers a precise, volatility-driven view of trend structure using ATR-based boundaries and a step-line framework. The integrated dashboard, color-coded channel, and live positioning metrics give traders a complete picture of market direction, trend strength, and price location within evolving conditions.
Ultimate RSI [captainua]Ultimate RSI
Overview
This indicator combines multiple RSI calculations with volume analysis, divergence detection, and trend filtering to provide a comprehensive RSI-based trading system. The script calculates RSI using three different periods (6, 14, 24) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes.
The script includes optimized configuration presets for instant setup: Scalping, Day Trading, Swing Trading, and Position Trading. Simply select a preset to instantly configure all settings for your trading style, or use Custom mode for full manual control. All settings include automatic input validation to prevent configuration errors and ensure optimal performance.
Configuration Presets
The script includes preset configurations optimized for different trading styles, allowing you to instantly configure the indicator for your preferred trading approach. Simply select a preset from the "Configuration Preset" dropdown menu:
- Scalping: Optimized for fast-paced trading with shorter RSI periods (4, 7, 9) and minimal smoothing. Noise reduction is automatically disabled, and momentum confirmation is disabled to allow faster signal generation. Designed for quick entries and exits in volatile markets.
- Day Trading: Balanced configuration for intraday trading with moderate RSI periods (6, 9, 14) and light smoothing. Momentum confirmation is enabled for better signal quality. Ideal for day trading strategies requiring timely but accurate signals.
- Swing Trading: Configured for medium-term positions with standard RSI periods (14, 14, 21) and moderate smoothing. Provides smoother signals suitable for swing trading timeframes. All noise reduction features remain active.
- Position Trading: Optimized for longer-term trades with extended RSI periods (24, 21, 28) and heavier smoothing. Filters are configured for highest-quality signals. Best for position traders holding trades over multiple days or weeks.
- Custom: Full manual control over all settings. All input parameters are available for complete customization. This is the default mode and maintains full backward compatibility with previous versions.
When a preset is selected, it automatically adjusts RSI periods, smoothing lengths, and filter settings to match the trading style. The preset configurations ensure optimal settings are applied instantly, eliminating the need for manual configuration. All settings can still be manually overridden if needed, providing flexibility while maintaining ease of use.
Input Validation and Error Prevention
The script includes comprehensive input validation to prevent configuration errors:
- Cross-Input Validation: Smoothing lengths are automatically validated to ensure they are always less than their corresponding RSI period length. If you set a smoothing length greater than or equal to the RSI length, the script automatically adjusts it to (RSI Length - 1). This prevents logical errors and ensures valid configurations.
- Input Range Validation: All numeric inputs have minimum and maximum value constraints enforced by TradingView's input system, preventing invalid parameter values.
- Smart Defaults: Preset configurations use validated default values that are tested and optimized for each trading style. When switching between presets, all related settings are automatically updated to maintain consistency.
Core Calculations
Multi-Period RSI:
The script calculates RSI using the standard Wilder's RSI formula: RSI = 100 - (100 / (1 + RS)), where RS = Average Gain / Average Loss over the specified period. Three separate RSI calculations run simultaneously:
- RSI(6): Uses 6-period lookback for high sensitivity to recent price changes, useful for scalping and early signal detection
- RSI(14): Standard 14-period RSI for balanced analysis, the most commonly used RSI period
- RSI(24): Longer 24-period RSI for trend confirmation, provides smoother signals with less noise
Each RSI can be smoothed using EMA, SMA, RMA (Wilder's smoothing), WMA, or Zero-Lag smoothing. Zero-Lag smoothing uses the formula: ZL-RSI = RSI + (RSI - RSI ) to reduce lag while maintaining signal quality. You can apply individual smoothing lengths to each RSI period, or use global smoothing where all three RSIs share the same smoothing length.
Dynamic Overbought/Oversold Thresholds:
Static thresholds (default 70/30) are adjusted based on market volatility using ATR. The formula: Dynamic OB = Base OB + (ATR × Volatility Multiplier × Base Percentage / 100), Dynamic OS = Base OS - (ATR × Volatility Multiplier × Base Percentage / 100). This adapts to volatile markets where traditional 70/30 levels may be too restrictive. During high volatility, the dynamic thresholds widen, and during low volatility, they narrow. The thresholds are clamped between 0-100 to remain within RSI bounds. The ATR is cached for performance optimization, updating on confirmed bars and real-time bars.
Adaptive RSI Calculation:
An adaptive RSI adjusts the standard RSI(14) based on current volatility relative to average volatility. The calculation: Adaptive Factor = (Current ATR / SMA of ATR over 20 periods) × Volatility Multiplier. If SMA of ATR is zero (edge case), the adaptive factor defaults to 0. The adaptive RSI = Base RSI × (1 + Adaptive Factor), clamped to 0-100. This makes the indicator more responsive during high volatility periods when traditional RSI may lag. The adaptive RSI is used for signal generation (buy/sell signals) but is not plotted on the chart.
Overbought/Oversold Fill Zones:
The script provides visual fill zones between the RSI line and the threshold lines when RSI is in overbought or oversold territory. The fill logic uses inclusive conditions: fills are shown when RSI is currently in the zone OR was in the zone on the previous bar. This ensures complete coverage of entry and exit boundaries. A minimum gap of 0.1 RSI points is maintained between the RSI plot and threshold line to ensure reliable polygon rendering in TradingView. The fill uses invisible plots at the threshold levels and the RSI value, with the fill color applied between them. You can select which RSI (6, 14, or 24) to use for the fill zones.
Divergence Detection
Regular Divergence:
Bullish divergence: Price makes a lower low (current low < lowest low from previous lookback period) while RSI makes a higher low (current RSI > lowest RSI from previous lookback period). Bearish divergence: Price makes a higher high (current high > highest high from previous lookback period) while RSI makes a lower high (current RSI < highest RSI from previous lookback period). The script compares current price/RSI values to the lowest/highest values from the previous lookback period using ta.lowest() and ta.highest() functions with index to reference the previous period's extreme.
Pivot-Based Divergence:
An enhanced divergence detection method that uses actual pivot points instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and RSI. The pivot-based method uses a tolerance-based approach with configurable constants: 1% tolerance for price comparisons (priceTolerancePercent = 0.01) and 1.0 RSI point absolute tolerance for RSI comparisons (pivotTolerance = 1.0). Minimum divergence threshold is 1.0 RSI point (minDivergenceThreshold = 1.0). It looks for two recent pivot points and compares them: for bullish divergence, price makes a lower low (at least 1% lower) while RSI makes a higher low (at least 1.0 point higher). This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period. When enabled, pivot-based divergence replaces the traditional method for more accurate signal generation.
Strong Divergence:
Regular divergence is confirmed by an engulfing candle pattern. Bullish engulfing requires: (1) Previous candle is bearish (close < open ), (2) Current candle is bullish (close > open), (3) Current close > previous open, (4) Current open < previous close. Bearish engulfing is the inverse: previous bullish, current bearish, current close < previous open, current open > previous close. Strong divergence signals are marked with visual indicators (🐂 for bullish, 🐻 for bearish) and have separate alert conditions.
Hidden Divergence:
Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low (current low > lowest low from previous period) but RSI makes a lower low (current RSI < lowest RSI from previous period). Bearish hidden divergence: Price makes a lower high (current high < highest high from previous period) but RSI makes a higher high (current RSI > highest RSI from previous period). These patterns indicate the trend is likely to continue in the current direction.
Volume Confirmation System
Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 0.1 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired.
Volume Climax is detected when volume exceeds: Volume SMA + (Volume StdDev × Multiplier). This indicates potential capitulation moments where extreme volume accompanies price movements. Volume Dry-Up is detected when volume falls below: Volume SMA - (Volume StdDev × Multiplier), indicating low participation periods that may produce unreliable signals. The volume SMA is cached for performance, updating on confirmed and real-time bars.
Multi-RSI Synergy
The script generates signals when multiple RSI periods align in overbought or oversold zones. This creates a confirmation system that reduces false signals. In "ALL" mode, all three RSIs (6, 14, 24) must be simultaneously above the overbought threshold OR all three must be below the oversold threshold. In "2-of-3" mode, any two of the three RSIs must align in the same direction. The script counts how many RSIs are in each zone: twoOfThreeOB = ((rsi6OB ? 1 : 0) + (rsi14OB ? 1 : 0) + (rsi24OB ? 1 : 0)) >= 2.
Synergy signals require: (1) Multi-RSI alignment (ALL or 2-of-3), (2) Volume confirmation, (3) Reset condition satisfied (enough bars since last synergy signal), (4) Additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance). Separate reset conditions track buy and sell signals independently. The reset condition uses ta.barssince() to count bars since the last trigger, returning true if the condition never occurred (allowing first signal) or if enough bars have passed.
Regression Forecasting
The script uses historical RSI values to forecast future RSI direction using four methods. The forecast horizon is configurable (1-50 bars ahead). Historical data is collected into an array, and regression coefficients are calculated based on the selected method.
Linear Regression: Calculates the least-squares fit line (y = mx + b) through the last N RSI values. The calculation: meanX = sumX / horizon, meanY = sumY / horizon, denominator = sumX² - horizon × meanX², m = (sumXY - horizon × meanX × meanY) / denominator, b = meanY - m × meanX. The forecast projects this line forward: forecast = b + m × i for i = 1 to horizon.
Polynomial Regression: Fits a quadratic curve (y = ax² + bx + c) to capture non-linear trends. The system of equations is solved using Cramer's rule with a 3×3 determinant. If the determinant is too small (< 0.0001), the system falls back to linear regression. Coefficients are calculated by solving: n×c + sumX×b + sumX²×a = sumY, sumX×c + sumX²×b + sumX³×a = sumXY, sumX²×c + sumX³×b + sumX⁴×a = sumX²Y. Note: Due to the O(n³) computational complexity of polynomial regression, the forecast horizon is automatically limited to a maximum of 20 bars when using polynomial regression to maintain optimal performance. If you set a horizon greater than 20 bars with polynomial regression, it will be automatically capped at 20 bars.
Exponential Smoothing: Applies exponential smoothing with adaptive alpha = 2/(horizon+1). The smoothing iterates from oldest to newest value: smoothed = alpha × series + (1 - alpha) × smoothed. Trend is calculated by comparing current smoothed value to an earlier smoothed value (at 60% of horizon): trend = (smoothed - earlierSmoothed) / (horizon - earlierIdx). Forecast: forecast = base + trend × i.
Moving Average: Uses the difference between short MA (horizon/2) and long MA (horizon) to estimate trend direction. Trend = (maShort - maLong) / (longLen - shortLen). Forecast: forecast = maShort + trend × i.
Confidence bands are calculated using RMSE (Root Mean Squared Error) of historical forecast accuracy. The error calculation compares historical values with forecast values: RMSE = sqrt(sumSquaredError / count). If insufficient data exists, it falls back to calculating standard deviation of recent RSI values. Confidence bands = forecast ± (RMSE × confidenceLevel). All forecast values and confidence bands are clamped to 0-100 to remain within RSI bounds. The regression functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, division-by-zero protection, and bounds checking for all array access operations to prevent runtime errors.
Strong Top/Bottom Detection
Strong buy signals require three conditions: (1) RSI is at its lowest point within the bottom period: rsiVal <= ta.lowest(rsiVal, bottomPeriod), (2) RSI is below the oversold threshold minus a buffer: rsiVal < (oversoldThreshold - rsiTopBottomBuffer), where rsiTopBottomBuffer = 2.0 RSI points, (3) The absolute difference between current RSI and the lowest RSI exceeds the threshold value: abs(rsiVal - ta.lowest(rsiVal, bottomPeriod)) > threshold. This indicates a bounce from extreme levels with sufficient distance from the absolute low.
Strong sell signals use the inverse logic: RSI at highest point, above overbought threshold + rsiTopBottomBuffer (2.0 RSI points), and difference from highest exceeds threshold. Both signals also require: volume confirmation, reset condition satisfied (separate reset for buy vs sell), and all additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance).
The reset condition uses separate logic for buy and sell: resetCondBuy checks bars since isRSIAtBottom, resetCondSell checks bars since isRSIAtTop. This ensures buy signals reset based on bottom conditions and sell signals reset based on top conditions, preventing incorrect signal blocking.
Filtering System
RSI(50) Filter: Only allows buy signals when RSI(14) > 50 (bullish momentum) and sell signals when RSI(14) < 50 (bearish momentum). This filter ensures you're buying in uptrends and selling in downtrends from a momentum perspective. The filter is optional and can be disabled. Recommended to enable for noise reduction.
Trend Filter: Uses a long-term EMA (default 200) to determine trend direction. Buy signals require price above EMA, sell signals require price below EMA. The EMA slope is calculated as: emaSlope = ema - ema . Optional EMA slope filter additionally requires the EMA to be rising (slope > 0) for buy signals or falling (slope < 0) for sell signals. This provides stronger trend confirmation by requiring both price position and EMA direction.
ADX Filter: Uses the Directional Movement Index (calculated via ta.dmi()) to measure trend strength. Signals only fire when ADX exceeds the threshold (default 20), indicating a strong trend rather than choppy markets. The ADX calculation uses separate length and smoothing parameters. This filter helps avoid signals during sideways/consolidation periods.
Volume Dry-Up Avoidance: Prevents signals during periods of extremely low volume relative to average. If volume dry-up is detected and the filter is enabled, signals are blocked. This helps avoid unreliable signals that occur during low participation periods.
RSI Momentum Confirmation: Requires RSI to be accelerating in the signal direction before confirming signals. For buy signals, RSI must be consistently rising (recovering from oversold) over the lookback period. For sell signals, RSI must be consistently falling (declining from overbought) over the lookback period. The momentum check verifies that all consecutive changes are in the correct direction AND the cumulative change is significant. This filter ensures signals only fire when RSI momentum aligns with the signal direction, reducing false signals from weak momentum.
Multi-Timeframe Confirmation: Requires higher timeframe RSI to align with the signal direction. For buy signals, current RSI must be below the higher timeframe RSI by at least the confirmation threshold. For sell signals, current RSI must be above the higher timeframe RSI by at least the confirmation threshold. This ensures signals align with the larger trend context, reducing counter-trend trades. The higher timeframe RSI is fetched using request.security() from the selected timeframe.
All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire.
RSI Centerline and Period Crossovers
RSI(50) Centerline Crossovers: Detects when the selected RSI source crosses above or below the 50 centerline. Bullish crossover: ta.crossover(rsiSource, 50), bearish crossover: ta.crossunder(rsiSource, 50). You can select which RSI (6, 14, or 24) to use for these crossovers. These signals indicate momentum shifts from bearish to bullish (above 50) or bullish to bearish (below 50).
RSI Period Crossovers: Detects when different RSI periods cross each other. Available pairs: RSI(6) × RSI(14), RSI(14) × RSI(24), or RSI(6) × RSI(24). Bullish crossover: fast RSI crosses above slow RSI (ta.crossover(rsiFast, rsiSlow)), indicating momentum acceleration. Bearish crossover: fast RSI crosses below slow RSI (ta.crossunder(rsiFast, rsiSlow)), indicating momentum deceleration. These crossovers can signal shifts in momentum before price moves.
StochRSI Calculation
Stochastic RSI applies the Stochastic oscillator formula to RSI values instead of price. The calculation: %K = ((RSI - Lowest RSI) / (Highest RSI - Lowest RSI)) × 100, where the lookback is the StochRSI length. If the range is zero, %K defaults to 50.0. %K is then smoothed using SMA with the %K smoothing length. %D is calculated as SMA of smoothed %K with the %D smoothing length. All values are clamped to 0-100. You can select which RSI (6, 14, or 24) to use as the source for StochRSI calculation.
RSI Bollinger Bands
Bollinger Bands are applied to RSI(14) instead of price. The calculation: Basis = SMA(RSI(14), BB Period), StdDev = stdev(RSI(14), BB Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around RSI that adapt to RSI volatility. When RSI touches or exceeds the bands, it indicates extreme conditions relative to recent RSI behavior.
Noise Reduction System
The script includes a comprehensive noise reduction system to filter false signals and improve accuracy. When enabled, signals must pass multiple quality checks:
Signal Strength Requirement: RSI must be at least X points away from the centerline (50). For buy signals, RSI must be at least X points below 50. For sell signals, RSI must be at least X points above 50. This ensures signals only trigger when RSI is significantly in oversold/overbought territory, not just near neutral.
Extreme Zone Requirement: RSI must be deep in the OB/OS zone. For buy signals, RSI must be at least X points below the oversold threshold. For sell signals, RSI must be at least X points above the overbought threshold. This ensures signals only fire in extreme conditions where reversals are more likely.
Consecutive Bar Confirmation: The signal condition must persist for N consecutive bars before triggering. This reduces false signals from single-bar spikes or noise. The confirmation checks that the signal condition was true for all bars in the lookback period.
Zone Persistence (Optional): Requires RSI to remain in the OB/OS zone for N consecutive bars, not just touch it. This ensures RSI is truly in an extreme state rather than just briefly touching the threshold. When enabled, this provides stricter filtering for higher-quality signals.
RSI Slope Confirmation (Optional): Requires RSI to be moving in the expected signal direction. For buy signals, RSI should be rising (recovering from oversold). For sell signals, RSI should be falling (declining from overbought). This ensures momentum is aligned with the signal direction. The slope is calculated by comparing current RSI to RSI N bars ago.
All noise reduction filters can be enabled/disabled independently, allowing you to customize the balance between signal frequency and accuracy. The default settings provide a good balance, but you can adjust them based on your trading style and market conditions.
Alert System
The script includes separate alert conditions for each signal type: buy/sell (adaptive RSI crossovers), divergence (regular, strong, hidden), crossovers (RSI50 centerline, RSI period crossovers), synergy signals, and trend breaks. Each alert type has its own alertcondition() declaration with a unique title and message.
An optional cooldown system prevents alert spam by requiring a minimum number of bars between alerts of the same type. The cooldown check: canAlert = na(lastAlertBar) OR (bar_index - lastAlertBar >= cooldownBars). If the last alert bar is na (first alert), it always allows the alert. Each alert type maintains its own lastAlertBar variable, so cooldowns are independent per signal type. The default cooldown is 10 bars, which is recommended for noise reduction.
Higher Timeframe RSI
The script can display RSI from a higher timeframe using request.security(). This allows you to see the RSI context from a larger timeframe (e.g., daily RSI on an hourly chart). The higher timeframe RSI uses RSI(14) calculation from the selected timeframe. This provides context for the current timeframe's RSI position relative to the larger trend.
RSI Pivot Trendlines
The script can draw trendlines connecting pivot highs and lows on RSI(6). This feature helps visualize RSI trends and identify potential trend breaks.
Pivot Detection: Pivots are detected using a configurable period. The script can require pivots to have minimum strength (RSI points difference from surrounding bars) to filter out weak pivots. Lower minPivotStrength values detect more pivots (more trendlines), while higher values detect only stronger pivots (fewer but more significant trendlines). Pivot confirmation is optional: when enabled, the script waits N bars to confirm the pivot remains the extreme, reducing repainting. Pivot confirmation functions (f_confirmPivotLow and f_confirmPivotHigh) are always called on every bar for consistency, as recommended by TradingView. When pivot bars are not available (na), safe default values are used, and the results are then used conditionally based on confirmation settings. This ensures consistent calculations and prevents calculation inconsistencies.
Trendline Drawing: Uptrend lines connect confirmed pivot lows (green), and downtrend lines connect confirmed pivot highs (red). By default, only the most recent trendline is shown (old trendlines are deleted when new pivots are confirmed). This keeps the chart clean and uncluttered. If "Keep Historical Trendlines" is enabled, the script preserves up to N historical trendlines (configurable via "Max Trendlines to Keep", default 5). When historical trendlines are enabled, old trendlines are saved to arrays instead of being deleted, allowing you to see multiple trendlines simultaneously for better trend analysis. The arrays are automatically limited to prevent memory accumulation.
Trend Break Detection: Signals are generated when RSI breaks above or below trendlines. Uptrend breaks (RSI crosses below uptrend line) generate buy signals. Downtrend breaks (RSI crosses above downtrend line) generate sell signals. Optional trend break confirmation requires the break to persist for N bars and optionally include volume confirmation. Trendline angle filtering can exclude flat/weak trendlines from generating signals (minTrendlineAngle > 0 filters out weak/flat trendlines).
How Components Work Together
The combination of multiple RSI periods provides confirmation across different timeframes, reducing false signals. RSI(6) catches early moves, RSI(14) provides balanced signals, and RSI(24) confirms longer-term trends. When all three align (synergy), it indicates strong consensus across timeframes.
Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Volume climax detection identifies potential reversal points, while volume dry-up avoidance prevents signals during unreliable low-volume periods.
Trend filters align signals with the overall market direction. The EMA filter ensures you're trading with the trend, and the EMA slope filter adds an additional layer by requiring the trend to be strengthening (rising EMA for buys, falling EMA for sells).
ADX filter ensures signals only fire during strong trends, avoiding choppy/consolidation periods. RSI(50) filter ensures momentum alignment with the trade direction.
Momentum confirmation requires RSI to be accelerating in the signal direction, ensuring signals only fire when momentum is aligned. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades.
Divergence detection identifies potential reversals before they occur, providing early warning signals. Pivot-based divergence provides more accurate detection by using actual pivot points. Hidden divergence identifies continuation patterns, useful for trend-following strategies.
The noise reduction system combines multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to significantly reduce false signals. These filters work together to ensure only high-quality signals are generated.
The synergy system requires alignment across all RSI periods for highest-quality signals, significantly reducing false positives. Regression forecasting provides forward-looking context, helping anticipate potential RSI direction changes.
Pivot trendlines provide visual trend analysis and can generate signals when RSI breaks trendlines, indicating potential reversals or continuations.
Reset conditions prevent signal spam by requiring a minimum number of bars between signals. Separate reset conditions for buy and sell signals ensure proper signal management.
Usage Instructions
Configuration Presets (Recommended): The script includes optimized preset configurations for instant setup. Simply select your trading style from the "Configuration Preset" dropdown:
- Scalping Preset: RSI(4, 7, 9) with minimal smoothing. Noise reduction disabled, momentum confirmation disabled for fastest signals.
- Day Trading Preset: RSI(6, 9, 14) with light smoothing. Momentum confirmation enabled for better signal quality.
- Swing Trading Preset: RSI(14, 14, 21) with moderate smoothing. Balanced configuration for medium-term trades.
- Position Trading Preset: RSI(24, 21, 28) with heavier smoothing. Optimized for longer-term positions with all filters active.
- Custom Mode: Full manual control over all settings. Default behavior matches previous script versions.
Presets automatically configure RSI periods, smoothing lengths, and filter settings. You can still manually adjust any setting after selecting a preset if needed.
Getting Started: The easiest way to get started is to select a configuration preset matching your trading style (Scalping, Day Trading, Swing Trading, or Position Trading) from the "Configuration Preset" dropdown. This instantly configures all settings for optimal performance. Alternatively, use "Custom" mode for full manual control. The default configuration (Custom mode) shows RSI(6), RSI(14), and RSI(24) with their default smoothing. Overbought/oversold fill zones are enabled by default.
Customizing RSI Periods: Adjust the RSI lengths (6, 14, 24) based on your trading timeframe. Shorter periods (6) for scalping, standard (14) for day trading, longer (24) for swing trading. You can disable any RSI period you don't need.
Smoothing Selection: Choose smoothing method based on your needs. EMA provides balanced smoothing, RMA (Wilder's) is traditional, Zero-Lag reduces lag but may increase noise. Adjust smoothing lengths individually or use global smoothing for consistency. Note: Smoothing lengths are automatically validated to ensure they are always less than the corresponding RSI period length. If you set smoothing >= RSI length, it will be auto-adjusted to prevent invalid configurations.
Dynamic OB/OS: The dynamic thresholds automatically adapt to volatility. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets.
Volume Confirmation: Set volume threshold to 1.2 (default) for standard confirmation, higher for stricter filtering, or 0.1 to disable volume filtering entirely.
Multi-RSI Synergy: Use "ALL" mode for highest-quality signals (all 3 RSIs must align), or "2-of-3" mode for more frequent signals. Adjust the reset period to control signal frequency.
Filters: Enable filters gradually to find your preferred balance. Start with volume confirmation, then add trend filter, then ADX for strongest confirmation. RSI(50) filter is useful for momentum-based strategies and is recommended for noise reduction. Momentum confirmation and multi-timeframe confirmation add additional layers of accuracy but may reduce signal frequency.
Noise Reduction: The noise reduction system is enabled by default with balanced settings. Adjust minSignalStrength (default 3.0) to control how far RSI must be from centerline. Increase requireConsecutiveBars (default 1) to require signals to persist longer. Enable requireZonePersistence and requireRsiSlope for stricter filtering (higher quality but fewer signals). Start with defaults and adjust based on your needs.
Divergence: Enable divergence detection and adjust lookback periods. Strong divergence (with engulfing confirmation) provides higher-quality signals. Hidden divergence is useful for trend-following strategies. Enable pivot-based divergence for more accurate detection using actual pivot points instead of simple lowest/highest comparisons. Pivot-based divergence uses tolerance-based matching (1% for price, 1.0 RSI point for RSI) for better accuracy.
Forecasting: Enable regression forecasting to see potential RSI direction. Linear regression is simplest, polynomial captures curves, exponential smoothing adapts to trends. Adjust horizon based on your trading timeframe. Confidence bands show forecast uncertainty - wider bands indicate less reliable forecasts.
Pivot Trendlines: Enable pivot trendlines to visualize RSI trends and identify trend breaks. Adjust pivot detection period (default 5) - higher values detect fewer but stronger pivots. Enable pivot confirmation (default ON) to reduce repainting. Set minPivotStrength (default 1.0) to filter weak pivots - lower values detect more pivots (more trendlines), higher values detect only stronger pivots (fewer trendlines). Enable "Keep Historical Trendlines" to preserve multiple trendlines instead of just the most recent one. Set "Max Trendlines to Keep" (default 5) to control how many historical trendlines are preserved. Enable trend break confirmation for more reliable break signals. Adjust minTrendlineAngle (default 0.0) to filter flat trendlines - set to 0.1-0.5 to exclude weak trendlines.
Alerts: Set up alerts for your preferred signal types. Enable cooldown to prevent alert spam. Each signal type has its own alert condition, so you can be selective about which signals trigger alerts.
Visual Elements and Signal Markers
The script uses various visual markers to indicate signals and conditions:
- "sBottom" label (green): Strong bottom signal - RSI at extreme low with strong buy conditions
- "sTop" label (red): Strong top signal - RSI at extreme high with strong sell conditions
- "SyBuy" label (lime): Multi-RSI synergy buy signal - all RSIs aligned oversold
- "SySell" label (red): Multi-RSI synergy sell signal - all RSIs aligned overbought
- 🐂 emoji (green): Strong bullish divergence detected
- 🐻 emoji (red): Strong bearish divergence detected
- 🔆 emoji: Weak divergence signals (if enabled)
- "H-Bull" label: Hidden bullish divergence
- "H-Bear" label: Hidden bearish divergence
- ⚡ marker (top of pane): Volume climax detected (extreme volume) - positioned at top for visibility
- 💧 marker (top of pane): Volume dry-up detected (very low volume) - positioned at top for visibility
- ↑ triangle (lime): Uptrend break signal - RSI breaks below uptrend line
- ↓ triangle (red): Downtrend break signal - RSI breaks above downtrend line
- Triangle up (lime): RSI(50) bullish crossover
- Triangle down (red): RSI(50) bearish crossover
- Circle markers: RSI period crossovers
All markers are positioned at the RSI value where the signal occurs, using location.absolute for precise placement.
Signal Priority and Interpretation
Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups:
1. Multi-RSI Synergy signals (SyBuy/SySell) - Highest priority: Requires alignment across all RSI periods plus volume and filter confirmation. These are the most reliable signals.
2. Strong Top/Bottom signals (sTop/sBottom) - High priority: Indicates extreme RSI levels with strong bounce conditions. Requires volume confirmation and all filters.
3. Divergence signals - Medium-High priority: Strong divergence (with engulfing) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal.
4. Adaptive RSI crossovers - Medium priority: Buy when adaptive RSI crosses below dynamic oversold, sell when it crosses above dynamic overbought. These use volatility-adjusted RSI for more accurate signals.
5. RSI(50) centerline crossovers - Medium priority: Momentum shift signals. Less reliable alone but useful when combined with other confirmations.
6. RSI period crossovers - Lower priority: Early momentum shift indicators. Can provide early warning but may produce false signals in choppy markets.
Best practice: Wait for multiple confirmations. For example, a synergy signal combined with divergence and volume climax provides the strongest setup.
Chart Requirements
For proper script functionality and compliance with TradingView requirements, ensure your chart displays:
- Symbol name: The trading pair or instrument name should be visible
- Timeframe: The chart timeframe should be clearly displayed
- Script name: "Ultimate RSI " should be visible in the indicator title
These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels.
Performance Considerations
The script is optimized for performance:
- ATR and Volume SMA are cached using var variables, updating only on confirmed and real-time bars to reduce redundant calculations
- Forecast line arrays are dynamically managed: lines are reused when possible, and unused lines are deleted to prevent memory accumulation
- Calculations use efficient Pine Script functions (ta.rsi, ta.ema, etc.) which are optimized by TradingView
- Array operations are minimized where possible, with direct calculations preferred
- Polynomial regression automatically caps the forecast horizon at 20 bars (POLYNOMIAL_MAX_HORIZON constant) to prevent performance degradation, as polynomial regression has O(n³) complexity. This safeguard ensures optimal performance even with large horizon settings
- Pivot detection includes edge case handling to ensure reliable calculations even on early bars with limited historical data. Regression forecasting functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, and division-by-zero protection in all mathematical operations
The script should perform well on all timeframes. On very long historical data, forecast lines may accumulate if the horizon is large; consider reducing the forecast horizon if you experience performance issues. The polynomial regression performance safeguard automatically prevents performance issues for that specific regression type.
Known Limitations and Considerations
- Forecast lines are forward-looking projections and should not be used as definitive predictions. They provide context but are not guaranteed to be accurate.
- Dynamic OB/OS thresholds can exceed 100 or go below 0 in extreme volatility scenarios, but are clamped to 0-100 range. This means in very volatile markets, the dynamic thresholds may not widen as much as the raw calculation suggests.
- Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable.
- Higher timeframe RSI uses request.security() which may have slight delays on some data feeds.
- Regression forecasting requires at least N bars of history (where N = forecast horizon) before it can generate forecasts. Early bars will not show forecast lines.
- StochRSI calculation requires the selected RSI source to have sufficient history. Very short RSI periods on new charts may produce less reliable StochRSI values initially.
Practical Use Cases
The indicator can be configured for different trading styles and timeframes:
Swing Trading: Select the "Swing Trading" preset for instant optimal configuration. This preset uses RSI periods (14, 14, 21) with moderate smoothing. Alternatively, manually configure: Use RSI(24) with Multi-RSI Synergy in "ALL" mode, combined with trend filter (EMA 200) and ADX filter. This configuration provides high-probability setups with strong confirmation across multiple RSI periods.
Day Trading: Select the "Day Trading" preset for instant optimal configuration. This preset uses RSI periods (6, 9, 14) with light smoothing and momentum confirmation enabled. Alternatively, manually configure: Use RSI(6) with Zero-Lag smoothing for fast signal detection. Enable volume confirmation with threshold 1.2-1.5 for reliable entries. Combine with RSI(50) filter to ensure momentum alignment. Strong top/bottom signals work well for day trading reversals.
Trend Following: Enable trend filter (EMA) and EMA slope filter for strong trend confirmation. Use RSI(14) or RSI(24) with ADX filter to avoid choppy markets. Hidden divergence signals are useful for trend continuation entries.
Reversal Trading: Focus on divergence detection (regular and strong) combined with strong top/bottom signals. Enable volume climax detection to identify capitulation moments. Use RSI(6) for early reversal signals, confirmed by RSI(14) and RSI(24).
Forecasting and Planning: Enable regression forecasting with polynomial or exponential smoothing methods. Use forecast horizon of 10-20 bars for swing trading, 5-10 bars for day trading. Confidence bands help assess forecast reliability.
Multi-Timeframe Analysis: Enable higher timeframe RSI to see context from larger timeframes. For example, use daily RSI on hourly charts to understand the larger trend context. This helps avoid counter-trend trades.
Scalping: Select the "Scalping" preset for instant optimal configuration. This preset uses RSI periods (4, 7, 9) with minimal smoothing, disables noise reduction, and disables momentum confirmation for faster signals. Alternatively, manually configure: Use RSI(6) with minimal smoothing (or Zero-Lag) for ultra-fast signals. Disable most filters except volume confirmation. Use RSI period crossovers (RSI(6) × RSI(14)) for early momentum shifts. Set volume threshold to 1.0-1.2 for less restrictive filtering.
Position Trading: Select the "Position Trading" preset for instant optimal configuration. This preset uses extended RSI periods (24, 21, 28) with heavier smoothing, optimized for longer-term trades. Alternatively, manually configure: Use RSI(24) with all filters enabled (Trend, ADX, RSI(50), Volume Dry-Up avoidance). Multi-RSI Synergy in "ALL" mode provides highest-quality signals.
Practical Tips and Best Practices
Getting Started: The fastest way to get started is to select a configuration preset that matches your trading style. Simply choose "Scalping", "Day Trading", "Swing Trading", or "Position Trading" from the "Configuration Preset" dropdown to instantly configure all settings optimally. For advanced users, use "Custom" mode for full manual control. The default configuration (Custom mode) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style.
Reducing Repainting: All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy.
Signal Quality: Multi-RSI Synergy signals in "ALL" mode provide the highest-quality signals because they require alignment across all three RSI periods. These signals have lower frequency but higher reliability. For more frequent signals, use "2-of-3" mode. The noise reduction system further improves signal quality by requiring multiple confirmations (signal strength, extreme zone, consecutive bars, optional zone persistence and RSI slope). Adjust noise reduction settings to balance signal frequency vs. accuracy.
Filter Combinations: Start with volume confirmation, then add trend filter for trend alignment, then ADX filter for trend strength. Combining all three filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance.
Volume Filtering: Set volume threshold to 0.1 or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold.
RSI Period Selection: RSI(6) is most sensitive and best for scalping or early signal detection. RSI(14) provides balanced signals suitable for day trading. RSI(24) is smoother and better for swing trading and trend confirmation. You can disable any RSI period you don't need to reduce visual clutter.
Smoothing Methods: EMA provides balanced smoothing with moderate lag. RMA (Wilder's smoothing) is traditional and works well for RSI. Zero-Lag reduces lag but may increase noise. WMA gives more weight to recent values. Choose based on your preference for responsiveness vs. smoothness.
Forecasting: Linear regression is simplest and works well for trending markets. Polynomial regression captures curves and works better in ranging markets. Exponential smoothing adapts to trends. Moving average method is most conservative. Use confidence bands to assess forecast reliability.
Divergence: Strong divergence (with engulfing confirmation) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Pivot-based divergence provides more accurate detection by using actual pivot points instead of simple lowest/highest comparisons. Adjust lookback periods based on your timeframe: shorter for day trading, longer for swing trading. Pivot divergence period (default 5) controls the sensitivity of pivot detection.
Dynamic Thresholds: Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets.
Alert Management: Enable alert cooldown (default 10 bars, recommended) to prevent alert spam. Each alert type has its own cooldown, so you can set different cooldowns for different signal types. For example, use shorter cooldown for synergy signals (high quality) and longer cooldown for crossovers (more frequent). The cooldown system works independently for each signal type, preventing spam while allowing different signal types to fire when appropriate.
Technical Specifications
- Pine Script Version: v6
- Indicator Type: Non-overlay (displays in separate panel below price chart)
- Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results
- Performance: Optimized with caching for ATR and volume calculations. Forecast arrays are dynamically managed to prevent memory accumulation.
- Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.)
- Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Reset conditions and alert cooldowns handle edge cases where conditions never occurred or values are NA.
- Reset Logic: Separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) ensure logical correctness.
- Input Parameters: 60+ customizable parameters organized into logical groups for easy configuration. Configuration presets available for instant setup (Scalping, Day Trading, Swing Trading, Position Trading, Custom).
- Noise Reduction: Comprehensive noise reduction system with multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to reduce false signals.
- Pivot-Based Divergence: Enhanced divergence detection using actual pivot points for improved accuracy.
- Momentum Confirmation: RSI momentum filter ensures signals only fire when RSI is accelerating in the signal direction.
- Multi-Timeframe Confirmation: Optional higher timeframe RSI alignment for trend confirmation.
- Enhanced Pivot Trendlines: Trendline drawing with strength requirements, confirmation, and trend break detection.
Technical Notes
- All RSI values are clamped to 0-100 range to ensure valid oscillator values
- ATR and Volume SMA are cached for performance, updating on confirmed and real-time bars
- Reset conditions handle edge cases: if a condition never occurred, reset returns true (allows first signal)
- Alert cooldown handles na values: if no previous alert, cooldown allows the alert
- Forecast arrays are dynamically sized based on horizon, with unused lines cleaned up
- Fill logic uses a minimum gap (0.1) to ensure reliable polygon rendering in TradingView
- All calculations include safety checks for division by zero and boundary conditions. Regression functions validate that horizon doesn't exceed array size, and all array access operations include bounds checking to prevent out-of-bounds errors
- The script uses separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) for logical correctness
- Background coloring uses a fallback system: dynamic color takes priority, then RSI(6) heatmap, then monotone if both are disabled
- Noise reduction filters are applied after accuracy filters, providing multiple layers of signal quality control
- Pivot trendlines use strength requirements to filter weak pivots, reducing noise in trendline drawing. Historical trendlines are stored in arrays and automatically limited to prevent memory accumulation when "Keep Historical Trendlines" is enabled
- Volume climax and dry-up markers are positioned at the top of the pane for better visibility
- All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization)
- Input Validation: Automatic cross-input validation ensures smoothing lengths are always less than RSI period lengths, preventing configuration errors
- Configuration Presets: Four optimized preset configurations (Scalping, Day Trading, Swing Trading, Position Trading) for instant setup, plus Custom mode for full manual control
- Constants Management: Magic numbers extracted to documented constants for improved maintainability and easier tuning (pivot tolerance, divergence thresholds, fill gap, etc.)
- TradingView Function Consistency: All TradingView functions (ta.crossover, ta.crossunder, ta.atr, ta.lowest, ta.highest, ta.lowestbars, ta.highestbars, etc.) and custom functions that depend on historical results (f_consecutiveBarConfirmation, f_rsiSlopeConfirmation, f_rsiZonePersistence, f_applyAllFilters, f_rsiMomentum, f_forecast, f_confirmPivotLow, f_confirmPivotHigh) are called on every bar for consistency, as recommended by TradingView. Results are then used conditionally when needed. This ensures consistent calculations and prevents calculation inconsistencies.
FluxPulse Beacon## FluxPulse Beacon
FluxPulse Beacon applies a microstructure lens to every bar, combining directional thrust, realized volatility, and multi-timeframe liquidity checks to decide whether the tape is being pushed by real sponsorship or just noise. The oscillator's color-coded columns and adaptive burst thresholds transform complex flow dynamics into a single actionable flux score for futures and equities traders.
HOW IT WORKS
Momentum Extraction – Price differentials over a configurable pulse distance are smoothed using exponential moving averages to isolate directional thrust without reacting to single prints.
Volatility + Liquidity Normalization – The momentum stream is divided by realized volatility and multiplied by both local and higher-timeframe EMA volume ratios, ensuring pulses only appear when volatility and liquidity align.
Adaptive Thresholding – A volatility-derived standard deviation of flux is blended with the base threshold so bursts scale automatically between low-volatility and high-volatility market conditions.
Divergence Engine – Linear regression slopes compare price vs. flux to tag bullish/bearish divergences, highlighting stealth accumulation or distribution zones.
HOW TO USE IT
Continuation Entries : Go with the trend when histogram bars stay above the adaptive threshold, the signal line confirms, and trend bias agrees—this is where liquidity-backed follow-through lives.
Fade Plays : Watch for divergence alerts and shrinking compression values; when flux prints below zero yet price grinds higher, hidden selling pressure often precedes rollovers.
Session Filter : Compression percentage in the diagnostics table instantly tells you whether to trade thin overnight sessions—low compression means stand down.
VISUAL FEATURES
Dynamic background heat maps flux magnitude, while threshold lines provide a quick read on whether a pulse is statistically significant.
Diagnostics table displays live flux, signal, adaptive threshold, and compression for quick reference.
Alert-first workflow: The surface is intentionally clean—bursts and divergences are delivered via alerts instead of on-chart clutter.
PARAMETERS
Trend EMA Length (default: 34): Defines the macro bias anchor; increase for higher-timeframe confirmation.
Pulse Distance (default: 8): Controls how sensitive momentum extraction becomes.
Volatility Window (default: 21): Sample window for realized volatility normalization.
Liquidity Window (default: 55): Volume smoothing window that proxies liquidity expansion.
Liquidity Reference TF (default: 60): Select a higher timeframe to cross-check whether current volume matches institutional flows.
Adaptive Threshold (default: enabled): Disable for fixed thresholds on slower markets; enable for high-volatility assets.
Base Burst Threshold (default: 1.25): Minimum flux magnitude that qualifies as an actionable pulse.
ALERTS
The indicator includes four alert conditions:
Bull Burst: Detects upside liquidity pulses
Bear Burst: Detects downside liquidity pulses
Bull Divergence: Flags bullish delta divergence
Bear Divergence: Flags bearish delta divergence
LIMITATIONS
This indicator is designed for liquid futures and equity markets. Performance may degrade in low-volume or highly illiquid instruments. The adaptive threshold system works best on timeframes where sufficient volatility history exists (typically 15-minute charts and above). Divergence signals are probabilistic and should be confirmed with price action.
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## RangeLattice Mapper
RangeLattice Mapper constructs a higher-timeframe scaffolding on any intraday chart, locking in structural highs/lows, mid/quarter grids, VWAP confluence, and live acceptance/break analytics. It provides a non-repainting overlay that turns range management into a disciplined process.
HOW IT WORKS
Structure Harvesting – Using request.security() , the script samples highs/lows from a user-selected timeframe (default 240 minutes) over a configurable lookback to establish the dominant range.
Grid Construction – Midpoint and quarter levels are derived mathematically, mirroring how institutional traders map distribution/accumulation zones.
Acceptance Detection – Consecutive closes inside the range flip an acceptance flag and darken the cloud, signaling balanced auction conditions.
Break Confirmation – Multi-bar closes outside the structure raise break labels and alerts, filtering the countless fake-outs that plague breakout traders.
VWAP Fan Overlay – Session VWAP plus ATR-based bands provide a live measure of flow centering relative to the lattice.
HOW TO USE IT
Range Plays : Fade taps of the outer rails only when acceptance is active and VWAP sits inside the grid—this is where mean-reversion works best.
Breakout Plays : Wait for confirmed break labels before entering expansion trades; the dashboard's Width/ATR metric tells you if the expansion has enough fuel.
Market Prep : Carry the same lattice from pre-market into regular trading hours by keeping the structure timeframe fixed; alerts keep you notified even when managing multiple tickers.
VISUAL FEATURES
Range Tap and Mid Pivot markers provide a tape-reading breadcrumb trail for journaling.
Cloud fill opacity tightens when acceptance persists, visually signaling balance compressions ready to break.
Dashboard displays absolute width, ATR-normalized width, and current state (Balanced vs Transitional) so you can glance across charts quickly.
Acceptance Flag toggle: Keep the repeated acceptance squares hidden until you need to audit balance.
PARAMETERS
Structure Timeframe (default: 240): Choose the timeframe whose ranges matter most (4H for indices, Daily for stocks).
Structure Lookback (default: 60): Bars sampled on the structure timeframe.
Acceptance Bars (default: 8): How many consecutive bars inside the range confirm balance.
Break Confirmation Bars (default: 3): Bars required outside the range to validate a breakout.
ATR Reference (default: 14): ATR period for width normalization.
Show Midpoint Grid (default: enabled): Display the midpoint and quarter levels.
Show Adaptive VWAP Fan (default: enabled): Toggle the VWAP channel for assets where volume distribution matters most.
Show Acceptance Flags (default: disabled): Turn the acceptance markers on/off for maximum visual control.
Show Range Dashboard (default: enabled): Disable if screen space is limited, re-enable during prep sessions.
ALERTS
The indicator includes five alert conditions:
Range High Tap: Price interacted with the RangeLattice high
Range Low Tap: Price interacted with the RangeLattice low
Range Mid Tap: Price interacted with the RangeLattice mid
Range Break Up: Confirmed upside breakout
Range Break Down: Confirmed downside breakout
LIMITATIONS
This indicator works best on liquid instruments with clear structural levels. On very low timeframes (1-minute and below), the structure may update too frequently to be useful. The acceptance/break confirmation system requires patience—faster traders may find the multi-bar confirmation too slow for scalping. The VWAP fan is session-based and resets daily, which may not suit all trading styles.
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SuperTrend Oscillator MTF█ OVERVIEW
SuperTrend Oscillator MTF is a multi-timeframe version of the classic SuperTrend converted into an oscillator. Instead of drawing the SuperTrend line on the price chart, it displays the distance of the close from the SuperTrend line simultaneously for the current timeframe and two additional timeframes. This allows you to instantly see the trend direction and strength across three selected timeframes in a single window.
█ CONCEPT
The classic SuperTrend value is subtracted from price and normalized so that trend direction can be directly compared across different timeframes without switching charts.
- Value above zero = price below SuperTrend line → bearish trend
- Value below zero = price above SuperTrend line → bullish trend
- The further away from zero, the stronger the trend.
█ FEATURES
- Three SuperTrend Oscillator lines: current TF, TF1 and TF2
- Automatic detection of 3-timeframe agreement
- BUY and SELL labels that appear only when all three timeframes turn in the same direction at the same moment
- Circle signals on every zero-line cross of the current timeframe
- Configurable soft gradient fill (can be disabled)
- Zero line changes color (green/red/gray) depending on 3-TF agreement
- Fully customizable colors for each timeframe
- Built-in alerts for all signal types
█ HOW TO USE
Add the indicator to the chart → set two additional timeframes and adjust ATR Period and Factor to suit your trading style.
Main settings:
- ATR Period → default 10
- Factor → default 3.0 (higher = fewer signals)
- TF 1 and TF 2 → any timeframes (e.g. 1H+4H, 4H+D, D+W, etc.)
- Enable gradient → turn fill on/off
- Show BUY/SELL labels (3 TF agreement) → enable/disable the strongest signals
Interpretation:
Two types of signals:
- Green/red circles → current timeframe changes trend direction (faster signal)
- BUY/SELL labels → all three timeframes simultaneously switch to the same direction (strongest confluence)
- Additionally, the zero line turns green or red when all three trends are aligned.
█ APPLICATIONS
Perfect for:
- Trend-following with multi-timeframe confirmation
- Filtering false breakouts on lower timeframes
- Scalping & day trading (use fast circle signals)
- Swing & position trading (wait for full 3-TF agreement)
Best combined with:
- Support/resistance levels and supply/demand zones – enter long after a confirmed breakout and retest of a key level (e.g. Change of Character, Break of Structure, Order Block, 0.618–0.786 Fibonacci) only when the oscillator shows 3-TF agreement or at least a bullish circle. Hold the trade to the next significant resistance/supply zone.
- Volume and Volume Profile – confirm move strength with rising volume and high-volume nodes at the breakout level. Declining volume while moving away from zero may signal trend exhaustion.
- Classic oscillators (RSI, Stochastic, MACD) – use primarily for spotting divergences and overbought/oversold conditions. One of the safest exits is when a regular or hidden divergence appears on RSI/Stochastic in an extreme zone, even if SuperTrend Oscillator MTF still shows alignment.
█ NOTES
- Works on all markets and all timeframes
- BUY/SELL labels (3-TF agreement) are the cleanest and strongest signals
- Circle signals are faster but more prone to noise
- Higher ATR Period = fewer signals, higher quality
Price Volume Heatmap [MHA Finverse]Price Volume Heatmap - Advanced Volume Profile Analysis
Unlock the power of institutional-level volume analysis with the Price Volume Heatmap indicator. This sophisticated tool visualizes market structure through volume distribution across price levels, helping you identify key support/resistance zones, high-probability reversal areas, and optimal entry/exit points.
🎯 What Makes This Indicator Unique?
Unlike traditional volume indicators that only show volume over time, this heatmap displays volume distribution across price levels , revealing where the most significant trading activity occurred. The gradient coloring system instantly highlights high-volume nodes (areas of strong interest) and low-volume nodes (potential breakout zones).
📊 Core Features
1. Dynamic Volume Heatmap
- Visualizes volume concentration across 250 customizable price levels
- Gradient color scheme from high volume (white) to low volume (teal/green)
- Adjustable brightness multiplier for enhanced contrast and clarity
- Real-time updates as market conditions evolve
2. Point of Control (POC)
- Automatically identifies the price level with the highest traded volume
- Acts as a magnetic price level where markets often return
- Critical for identifying fair value areas and potential reversal zones
- Customizable line style, width, and color
3. Flexible Lookback Settings
- Lookback Bars: Set any value from 1-5000 bars to control analysis depth
- Visible Range Mode: Analyze only what's currently visible on your chart
- Timeframe-Specific Settings: Different lookback periods for 1m, 5m, 15m, 30m, 1h, Daily, and Weekly charts
- Adapts to your trading style - scalping to position trading
4. Session Separation Analysis
- Tokyo Session: 00:00-09:00 UTC
- London Session: 07:00-16:00 UTC
- New York Session: 13:00-22:00 UTC
- Sydney Session: 21:00-06:00 UTC
- Daily Reset: Analyze each trading day independently
Session separation allows you to understand volume distribution specific to each major trading session, revealing institutional order flow patterns and session-specific support/resistance levels.
5. Profile Width Options
- Dynamic: Profile width adjusts based on lookback period
- Fixed Bars: Set a specific bar count for consistent profile width
- Extend Forward: Project the profile into future bars for planning trades
6. Smart Alerts
- POC crossover/crossunder alerts
- New session start notifications
- Never miss critical price action at high-volume nodes
📈 How to Use This Indicator Professionally
Understanding Market Structure:
High Volume Nodes (HVN):
- Appear as bright/white areas in the heatmap
- Represent price levels where significant trading occurred
- Act as strong support/resistance zones
- Markets often consolidate or bounce from these levels
- Trading Strategy: Look for entries when price tests HVN areas with confluence from other indicators
Low Volume Nodes (LVN):
- Appear as darker/teal areas in the heatmap
- Represent price levels with minimal trading activity
- Price tends to move quickly through these areas
- Often form "gaps" in the volume profile
- Trading Strategy: Expect rapid price movement through LVN zones; avoid placing stop losses here
Point of Control (POC):
- The single most important price level in your analysis window
- Represents the fairest price where maximum volume traded
- Price gravitates toward POC like a magnet
- Trading Strategy:
* When price is above POC: bullish bias, POC acts as support
* When price is below POC: bearish bias, POC acts as resistance
* POC breaks often lead to significant trend changes
Session-Based Analysis:
Use session separation to understand how different market participants trade:
Asian Session (Tokyo/Sydney):
- Typically lower volatility and range-bound
- Volume profiles often show tight, balanced distribution
- Use for identifying overnight ranges and gap fill zones
London Session:
- Highest volume session for forex pairs
- Often shows strong directional bias
- Look for breakouts from Asian ranges during London open
New York Session:
- Maximum participation when overlapping with London
- Institutional order flow most visible
- POC during NY session often becomes key level for following sessions
🎯 Practical Trading Applications
1. Identifying Support & Resistance:
High volume nodes from the heatmap are far more reliable than traditional swing highs/lows. When price approaches an HVN, expect reaction - either a bounce or a significant breakout if breached.
2. Trend Confirmation:
- Healthy uptrend: POC rising over time, HVN forming at higher levels
- Healthy downtrend: POC falling over time, HVN forming at lower levels
- Consolidation: POC relatively flat, volume balanced across range
3. Breakout Trading:
When price breaks through a Low Volume Node with momentum, it often continues to the next High Volume Node. Use LVN areas as measured move targets.
4. Reversal Zones:
Multiple HVN stacking on top of each other creates a "volume shelf" - an extremely strong support/resistance zone where reversals are highly probable.
5. Risk Management:
- Place stops beyond HVN areas (not within LVN zones)
- Size positions based on distance to nearest HVN
- Use POC as trailing stop level in trending markets
⚙️ Recommended Settings
For Day Trading (Scalping/Intraday):
- Lookback: 200-500 bars
- Rows: 200-250
- Enable session separation for your primary trading session
- Profile Width: Dynamic or Fixed Bars (30-50)
For Swing Trading:
- Lookback: 500-1000 bars
- Rows: 250
- Session separation: Daily Reset
- Profile Width: Dynamic
For Position Trading:
- Lookback: 1000-3000 bars
- Rows: 250
- Use timeframe-specific settings
- Profile Width: Extend Forward (20-50 bars)
💡 Pro Tips
1. Combine this indicator with price action analysis - volume confirms what price is telling you
2. Watch for POC convergence with other technical levels (fibonacci, pivot points, moving averages)
3. Volume at extremes (tops/bottoms of heatmap) often indicates exhaustion
4. Session POC from previous sessions often acts as magnet for current session
5. Increase brightness multiplier (1.5-2.5) for clearer visualization on busy charts
6. Use "Number of Sessions to Display" to analyze consistency of volume levels across multiple sessions
🎨 Customization
Fully customizable visual appearance:
- Gradient colors for volume visualization
- POC line thickness, color, and style
- Session line colors and visibility
- All settings organized in intuitive groups
⚠️ Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine volume analysis with proper risk management, fundamental analysis, and other technical indicators. Past performance does not guarantee future results.
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Support & Updates
Regular updates and improvements are made to enhance functionality. For questions, suggestions, or bug reports, please use the comments section below.
Happy Trading! 📊💹
Matt's Multi-Timeframe MACD Direction AlertThe indicator monitors the direction of the Moving Average Convergence Divergence (MACD) lines on four specific timeframes: 1-hour, 15-minute, 5-minute, and 1-minute.
It only generates a signal when the MACD in all four timeframes is trending in the same direction (either all are bullish, or all are bearish). This alignment suggests a strong, synchronized market momentum from short-term scalping views up to immediate-term swing views.
Key Features:
Multi-Timeframe Confirmation: Uses TradingView's request.security() function to fetch data from different timeframes (1h, 15m, 5m, 1m), preventing the need to manually switch charts.
Visual Dashboard: A dashboard table is displayed on your chart, providing an immediate visual status (Bullish/Bearish/Neutral) for each of the four timeframes.
On-Chart Signals: The indicator plots visual shapes (green triangles for bullish alignment, red triangles for bearish alignment) directly on the sub-chart when the condition is met.
Custom Alert Integration: It includes a built-in alertcondition() function, allowing traders to set up real-time, hands-free notifications whenever a synchronized trading opportunity arises.
This tool helps filter out noise and potential false signals that might appear on a single timeframe, focusing instead on robust signals confirmed by a consensus of time perspectives.
FAIRPRICE_VWAP_RDFAIRPRICE_VWAP_RD
This script plots an **anchored VWAP (Volume Weighted Average Price)** that resets
based on the user-selected anchor period. It acts as a dynamic “fair value” line
that reflects where the market has actually transacted during the chosen period.
FEATURES
- Multiple anchor options: Session, Week, Month, Quarter, Year, Decade, Century,
Earnings, Dividends, or Splits.
- Intelligent handling of the “Session” anchor so it works correctly on both 1m
(resets each new day) and 1D (continuous, non-resetting VWAP).
- Manual VWAP calculation using cumulative(price * volume) and cumulative(volume),
ensuring the line is stable and works on all timeframes.
- Optional hiding of VWAP on daily or higher charts.
- Offset input for horizontal shifting if desired.
- VWAP provides a true “fair price” reference for trend, mean-reversion,
and institutional-level analysis.
PURPOSE
This indicator solves the common problem of VWAP behaving incorrectly on higher
timeframes, on synthetic data, or with unusual anchors. By implementing VWAP
manually and allowing flexible reset conditions, it functions reliably as
an institutional-style fair value benchmark across any timeframe.
Echo Chamber [theUltimator5]The Echo Chamber - When history repeats, maybe you should listen.
Ever had that eerie feeling you've seen this exact price action before? The Echo Chamber doesn't just give you déjà vu—it mathematically proves it, scales it, and projects what happened next.
📖 WHAT IT DOES
The Echo Chamber is an advanced pattern recognition tool that scans your chart's history to find segments that closely match your current price action. But here's where it gets interesting: it doesn't just find similar patterns - It expands and contracts the time window to create a uniquely scaled fractal. Patterns don't always follow the same timeframe, but they do follow similar patterns.
Using a custom correlation analysis algorithm combined with flexible time-scaling, this indicator:
Finds historical price segments that mirror your current market structure
Scales and overlays them perfectly onto your current chart
Projects forward what happened AFTER that historical match
Gives you a visual "echo" from the past with a glimpse into potential futures
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HOW TO USE IT
This indicator starts off in manual mode, which means that YOU, the user, can select the point in time that you want to project from. Simply click on a point in time to set the starting value.
Once you select your point in time, the indicator will automatically plot the chosen historical chart pattern and correlation over the current chart and project the price forwards based on how the chart looked in the past. If you want to change the point in time, you can update it from the settings, or drag the point on the chart over to a new position.
You can manually select any point in time, and the chart will quickly update with the new pattern. A correlation will be shown in a table alongside the date/timestamp of the selected point in time.
You can switch to auto mode, which will automatically search out the best-fit pattern over a defined lookback range and plot the past/future projection for you without having to manually select a point in time at all. It simply finds the best fit for you.
You can change the scale factor by adjusting multiplication and division variables to find time-scaled fractal patterns.
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🎯 KEY FEATURES
Two Operating Modes:
🔧 MANUAL MODE - Select any historical point and see how it correlates with current price action in real-time. Perfect for:
• Analyzing specific past events (crashes, rallies, consolidations)
• Testing historical patterns against current conditions
• Educational analysis of market structure repetition
🤖 AUTO MODE - It automatically scans through your lookback period to find the single best-correlated historical match. Ideal for:
• Quick pattern discovery
• Systematic trading approach
• Unbiased pattern recognition
Time Warp Technology:
The time warp feature expands and compresses the correlation window to provide a custom fractal so you can analyze windows of time that don't necessarily match the current chart.
💡 *Example: Multiplier=3, Divisor=2 gives you a 1.5x time stretch—perfect for finding patterns that played out 50% slower than current price action.*
Drawing Modes:
Scale Only : Pure vertical scaling—matches price range while maintaining temporal alignment at bar 0
Rotate & Scale : Advanced geometric transformation that anchors both the start AND end points, creating a rotated fit that matches your current segment's slope and range
Visual Components:
🟠 Orange Overlay : The historical match, perfectly scaled to your current price action
🟣 Purple Projection : What happened NEXT after that historical pattern (dotted line into the future)
📦 Highlight Boxes : Shows you exactly where in history these patterns came from
📊 Live Correlation Table : Real-time correlation coefficient with color-coded strength indicator
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⚙️ PARAMETERS EXPLAINED
Correlation Window Length (20) : How many bars to match. Smaller = more precise matches but noisier. Larger = broader patterns but fewer matches.
Note: if this value is too high in auto mode, the script may time out from computational overload.
Multiplication Factor : Historical time multiplier. 2 = sample every 2nd bar from history. Higher values find slower historical patterns.
Division Factor : Historical time divisor applied after multiplication. Final sample rate = (Length × Factor) ÷ Divisor, rounded down.
Lookback Range : How far back to search for patterns. More history = better chance of finding matches but slower performance.
Note: if this value is too high in auto mode, the script may time out from computational overload.
Future Projection Length : How many bars forward to project from the historical match. Your crystal ball's focal length.
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💼 TRADING APPLICATIONS
Trend Continuation/Reversal :
If the purple projection continues the current trend, that's your historical confirmation. If it reverses, you've found a potential turning point that's happened before under similar conditions.
Support/Resistance Validation :
Does the projection respect your S/R levels? History suggests those levels matter. Does it break through? You've found historical precedent for a breakout.
Time-Based Exits :
The projection shows not just WHERE price might go, but WHEN. Use it to anticipate timing of moves.
Multi-Timeframe Analysis :
Use time compression to overlay higher timeframe patterns onto lower timeframes. See daily patterns on hourly charts, weekly on daily, etc.
Pattern Education :
In Manual Mode, study how specific historical events correlate with current conditions. Build your pattern recognition library.
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📊 CORRELATION TABLE
The table shows your correlation coefficient as a percentage:
80-100%: Extremely strong correlation—history is practically repeating
60-80%: Strong correlation—significant similarity
40-60%: Moderate correlation—some structural similarity
20-40%: Weak correlation—limited similarity
0-20%: Very weak correlation—essentially random match
-20-40%: Weak inverse correlation
-40-60%: Moderate inverse correlation
-60-80%: Strong inverse correlation
-80-100%: Extremely strong inverse correlation—history is practically inverting
**Important**: The correlation measures SHAPE similarity, not price level. An 85% correlation means the price movements follow a very similar pattern, regardless of whether prices are higher or lower.
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⚠️ IMPORTANT DISCLAIMERS
- Past performance does NOT guarantee future results (but it sure is interesting to study)
- High correlation doesn't mean causation—markets are complex adaptive systems
- Use this as ONE tool in your analytical toolkit, not a standalone trading system
- The projection is what HAPPENED after a similar pattern in the past, not a prediction
- Always use proper risk management regardless of what the Echo Chamber suggests
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🎓 PRO TIPS
1. Start with Auto Mode to find high-correlation matches, then switch to Manual Mode to study why that period was similar
2. Experiment with time warping on different timeframes—a 2x factor on a daily chart lets you see weekly patterns
3. Watch for correlation decay —if correlation drops sharply after the match, current conditions are diverging from history
4. Combine with volume —check if volume patterns also match
5. Use "Rotate & Scale" mode when the current trend angle differs from the historical match
6. Increase lookback range to 500-1000+ on daily/weekly charts for finding rare historical parallels
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🔧 TECHNICAL NOTES
- Uses Pearson correlation coefficient for pattern matching
- Implements range-based scaling to normalize different price levels
- Rotation mode uses linear interpolation for geometric transformation
- All calculations are performed on close prices
- Boxes highlight actual historical bar ranges (high/low)
- Maximum of 500 lines and 500 boxes for performance optimization
Séparateur H4 & DailyH4 & Daily Separator - TradingView Indicator
This Pine Script v6 indicator draws infinite vertical lines to mark H4 and Daily candle separations on your chart.
Features:
H4 Separations: Marks candles starting at 3am, 7am, 11am, 3pm, 7pm, and 11pm
Daily Separations: Marks candles starting at midnight (00:00)
Fully Customizable:
Toggle H4 and/or Daily lines independently
Choose line color, thickness (1-4), and style (Solid, Dotted, Dashed)
Control the number of visible vertical lines (1-500)
Use Case:
Perfect for traders who want to visualize higher timeframe separations while trading on lower timeframes. Helps identify H4 and Daily candle opens without switching charts.
Installation:
Simply copy the code into TradingView's Pine Editor and add it to your chart. All settings are adjustable in the indicator's settings panel.
