Choch Pattern Levels [BigBeluga]🔵 OVERVIEW
The Choch Pattern Levels indicator automatically detects Change of Character (CHoCH) shifts in market structure — crucial moments that often signal early trend reversals or major directional transitions. It plots the structural break level, visualizes the pattern zone with triangle overlays, and tracks delta volume to help traders assess the strength behind each move.
🔵 CONCEPTS
CHoCH Pattern: A bullish CHoCH forms when price breaks a previous swing high after a swing low, while a bearish CHoCH appears when price breaks a swing low after a prior swing high.
Break Level Mapping: The indicator identifies the highest or lowest point between the pivot and the breakout, marking it with a clean horizontal level where price often reacts.
Delta Volume Tracking: Net bullish or bearish volume is accumulated between the pivot and the breakout, revealing the momentum and conviction behind each CHoCH.
Chart Clean-Up: If price later closes through the CHoCH level, the zone is automatically removed to maintain clarity and focus on active setups only.
🔵 FEATURES
Automatic CHoCH pattern detection using pivot-based logic.
Triangle shapes show structure break: pivot → breakout → internal high/low.
Horizontal level marks the structural zone with a ◯ symbol.
Optional delta volume label with directional sign (+/−).
Green visuals for bullish CHoCHs, red for bearish.
Fully auto-cleaning invalidated levels to reduce clutter.
Clean organization of all lines, labels, and overlays.
User-defined Length input to adjust pivot sensitivity.
🔵 HOW TO USE
Use CHoCH levels as early trend reversal zones or confirmation signals.
Treat bullish CHoCHs as support zones, bearish CHoCHs as resistance.
Look for high delta volume to validate the strength behind each CHoCH.
Combine with other BigBeluga tools like supply/demand, FVGs, or liquidity maps for confluence.
Adjust pivot Length based on your strategy — shorter for intraday, longer for swing trading.
🔵 CONCLUSION
Choch Pattern Levels highlights key structural breaks that can mark the start of new trends. By combining precise break detection with volume analytics and automatic cleanup, it provides actionable insights into the true intent behind price moves — giving traders a clean edge in spotting early reversals and key reaction zones.
Volumeanalysis
VOLUME Simple [Titans_Invest]VOLUME Simple
A streamlined volume analysis tool crafted for simplicity and smart signal detection.
Although simple in appearance, this indicator brings intelligent volume-based entries through configurable logic. Its design emphasizes clean and effective interpretation of volume signals.
⯁ WHAT IS THE VOLUME INDICATOR❓
The Volume indicator is a fundamental technical analysis tool that measures the number of shares or contracts traded in a security or market during a given period. It helps traders and investors understand the strength or weakness of a price movement, confirm trends, and predict potential reversals. Volume is typically displayed as a histogram below a price chart, with each bar representing the volume traded during a specific time interval.
⯁ HOW TO USE THE VOLUME❓
The Volume indicator can be used in several ways to enhance trading decisions:
• Trend Confirmation: High volume during a price move confirms the strength of that trend, while low volume can indicate a weak or unsustainable trend.
• Breakouts: A price breakout from a pattern or range accompanied by high volume is more likely to be valid and sustainable.
• Divergence: When the price moves in one direction and volume moves in the opposite direction, it can signal a potential reversal.
• Overbought/Oversold Conditions: Extreme volume levels can sometimes indicate that an asset is overbought or oversold, though this is less straightforward than with oscillators like the RSI.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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▪︎ Signal Validity: The signal will remain valid for X bars .
🔹 volume > volume_MA * Trigger Signal (close > open)
🔹 volume > volume_MA * Trigger Signal (Keep State)
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🔸 CONDITIONS TO SELL 📉
______________________________________________________
▪︎ Signal Validity: The signal will remain valid for X bars .
🔸 volume > volume_MA * Trigger Signal (close > open)
🔸 volume > volume_MA * Trigger Signal (Keep State)
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
______________________________________________________
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⯁ UNIQUE FEATURES
______________________________________________________
Signal Validity: The signal will remain valid for X bars
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
______________________________________________________
📜 SCRIPT : VOLUME Simple
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
High Win Rate Trader by iambuoyant# High Win Rate Trader by iambuoyant - Complete Guide
## Introduction
The "High Win Rate Trader by iambuoyant" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
## Core Philosophy
This indicator operates on the principle that **multiple confirming factors create higher probability trades**. Instead of relying on a single indicator, it combines trend analysis, momentum oscillators, volume confirmation, market structure, and mathematical levels to identify optimal entry points. The more confluence factors that align, the stronger the trading signal.
## Strategies and Confluence Factors
### 1. Trend Analysis
**Purpose**: Establishes the overall market direction to ensure trades align with momentum.
**Components**:
- **Fast EMA (Default: 9)**: Short-term trend detection
- **Slow EMA (Default: 21)**: Medium-term trend confirmation
- **Trend EMA (Default: 50)**: Long-term trend establishment
**How it works**:
- **Bullish Trend**: Fast EMA > Slow EMA > Trend EMA
- **Bearish Trend**: Fast EMA < Slow EMA < Trend EMA
- Signals are filtered to only trigger in the direction of the established trend
**Default Settings**:
- Fast EMA Period: 9
- Slow EMA Period: 21
- Trend EMA Period: 50
### 2. Oscillator Confirmation
**Purpose**: Identifies overbought/oversold conditions and momentum shifts.
#### RSI (Relative Strength Index)
- **Period (Default: 14)**: Standard RSI calculation period
- **Overbought Level (Default: 70)**: RSI level considered overbought
- **Oversold Level (Default: 30)**: RSI level considered oversold
**How it works**:
- **Bullish**: RSI < 40 and turning upward (oversold recovery)
- **Bearish**: RSI > 60 and turning downward (overbought rejection)
#### Stochastic Oscillator
- **K Period (Default: 14)**: Stochastic %K calculation period
- **D Period (Default: 3)**: Stochastic %D smoothing period
- **Overbought Level (Default: 80)**: Stochastic overbought threshold
- **Oversold Level (Default: 20)**: Stochastic oversold threshold
**How it works**:
- **Bullish**: %K < 30 and (%K turning up OR %K > %D)
- **Bearish**: %K > 70 and (%K turning down OR %K < %D)
### 3. MACD (Moving Average Convergence Divergence)
**Purpose**: Confirms momentum shifts and trend changes.
**Components**:
- **Fast Period (Default: 12)**: Fast EMA for MACD calculation
- **Slow Period (Default: 26)**: Slow EMA for MACD calculation
- **Signal Period (Default: 9)**: Signal line smoothing period
**How it works**:
- **Bullish**: MACD line > Signal line OR (MACD rising AND histogram increasing)
- **Bearish**: MACD line < Signal line OR (MACD falling AND histogram decreasing)
### 4. Volume Analysis
**Purpose**: Confirms price moves with volume conviction.
**Components**:
- **Volume MA Period (Default: 20)**: Period for volume moving average
- **Volume Multiplier (Default: 1.5)**: Volume threshold multiplier
**How it works**:
- **Bullish**: Current volume > (Volume MA × 1.5)
- **Bearish**: Current volume > (Volume MA × 1.5)
### 5. Market Structure and Volatility
#### Support and Resistance Levels
- **Pivot Length (Default: 10)**: Period for pivot high/low detection
- **Dynamic Levels**: Automatically identifies recent swing highs and lows
- **Proximity Check**: Ensures trades aren't initiated too close to S/R levels
#### ATR (Average True Range)
- **ATR Period (Default: 14)**: Volatility measurement period
- **ATR Multiplier (Default: 2.0)**: Stop loss distance multiplier
- **Volatility Filter (Default: 50.0%)**: Maximum allowed volatility percentage
**How it works**:
- Calculates market volatility using ATR
- Prevents trades in excessively volatile conditions
- Helps determine dynamic stop loss levels
### 6. Fibonacci Retracements
**Purpose**: Identifies key mathematical support/resistance levels.
**Components**:
- **Lookback Period (Default: 50)**: Period for swing high/low calculation
- **Tolerance (Default: 2.0%)**: Price proximity tolerance to Fib levels
**Key Levels**: 23.6%, 38.2%, 50%, 61.8%, 78.6%
**How it works**:
- **Bullish**: Price near 38.2%, 50%, or 61.8% retracement levels in uptrend
- **Bearish**: Price near 38.2%, 50%, or 61.8% retracement levels in downtrend
### 7. Risk Management
#### Risk:Reward Ratio
- **Minimum RR Ratio (Default: 1.0)**: Minimum acceptable risk:reward ratio
- **Dynamic Calculation**: Based on support/resistance levels and ATR
#### Dynamic Stop Loss
- **ATR-based**: Stop loss = Entry ± (ATR × 1.5)
- **S/R-based**: Uses nearby support/resistance levels when available
### 8. Signal Confirmation
**Confirmation Bars (Default: 0)**:
- **0**: Immediate signals (recommended for testing)
- **1+**: Delayed confirmation for reduced false signals
## How to Use the Indicator
### Step 1: Initial Setup
1. **Add to Chart**: Apply the "High Win Rate Trader by iambuoyant" indicator to your desired chart in TradingView
2. **Verify Display**: Ensure you can see the indicator plots and debug pane below the main chart
### Step 2: Understanding the Signals
#### Visual Elements:
- **Green Triangles (Buy)**: Appear below price bars for long entry signals
- **Red Triangles (Sell)**: Appear above price bars for short entry signals
- **Labels**: Show "BUY" or "SELL" with current RSI value
- **EMA Lines**: Blue (Fast), Orange (Slow), Gray (Trend) - visible when enabled
#### Signal Types:
- **Flash Signals**: Immediate signals when conditions are first met
- **Confirmed Signals**: Signals that have passed confirmation criteria
### Step 3: Debugging and Optimization
#### Access Debug Features:
1. Click the gear icon next to the indicator name
2. Navigate to "Signal Components (Debugging)" section
3. All confluence factors start **disabled** by default
#### Initial Testing Process:
1. **Start Simple**: Keep all "Enable X Condition" toggles **OFF**
2. **Enable Basic**: Turn on "Enable RSI Condition" first
3. **Observe Signals**: Check if buy/sell signals appear
4. **Gradual Addition**: Enable one condition at a time
5. **Monitor Debug Plots**: Watch the colored crosses in the lower pane
#### Debug Plot Interpretation:
- **Green Crosses (Value 1)**: Bullish conditions met
- **Red Crosses (Value 2)**: Bearish conditions met
- **No Cross**: Condition not met
- **"Debug: Final Long/Short Signal"**: Combined signal output
### Step 4: Fine-tuning Parameters
#### If Signals Are Too Rare:
1. **Reduce Thresholds**: Lower RSI overbought/oversold levels
2. **Relax Filters**: Increase volatility filter percentage
3. **Adjust Timeframes**: Modify EMA periods for your trading style
4. **Disable Strict Conditions**: Turn off conditions that are too restrictive
#### If Signals Are Too Frequent:
1. **Increase Thresholds**: Raise RSI levels
2. **Add Filters**: Enable more confluence conditions
3. **Stricter Confirmation**: Increase confirmation bars
4. **Higher RR Ratio**: Increase minimum risk:reward requirement
### Step 5: Display Configuration
#### Display Options:
- **Show Buy/Sell Labels**: Toggle signal labels on/off
- **Show Support/Resistance**: Toggle S/R level lines
- **Show Trend EMAs**: Toggle EMA trend lines
### Step 6: Setting Up Alerts
#### Alert Conditions:
- **"Confirmed Buy Signal"**: Triggers on confirmed long entries
- **"Confirmed Sell Signal"**: Triggers on confirmed short entries
#### Alert Message Format:
- Buy: "BUY - RSI: , Price: "
- Sell: "SELL - RSI: , Price: "
## Recommended Settings by Market Type
### Trending Markets:
- Enable: Trend Alignment, RSI, MACD
- Disable: Volume (optional)
- Confirmation Bars: 1-2
### Ranging Markets:
- Enable: RSI, Stochastic, Support/Resistance
- Disable: Trend Alignment
- Confirmation Bars: 0
### Volatile Markets:
- Enable: Volatility Filter, ATR-based stops
- Reduce: RSI thresholds (60/40 instead of 70/30)
- Increase: Confirmation bars to 2-3
## Troubleshooting
### No Signals Appearing:
1. Check if any "Enable X Condition" is turned ON
2. Verify debug plots show activity
3. Reduce parameter thresholds
4. Check if market conditions match your settings
### Too Many False Signals:
1. Enable more confluence conditions
2. Increase confirmation bars
3. Adjust RSI/Stochastic thresholds
4. Enable volatility filter
### Signals Not Aligning with Price Action:
1. Check trend alignment settings
2. Verify EMA periods match your timeframe
3. Adjust Fibonacci lookback period
4. Review support/resistance proximity settings
## Best Practices
1. **Start Conservative**: Begin with fewer confluence factors and gradually add more
2. **Test Thoroughly**: Use demo accounts to test parameter combinations
3. **Monitor Debug Plots**: Regularly check which conditions are failing
4. **Adapt to Market**: Adjust settings based on current market conditions
5. **Use Multiple Timeframes**: Consider higher timeframe trend direction
6. **Risk Management**: Always use proper position sizing and stop losses
## Default Settings Summary
### Trend Analysis:
- Fast EMA: 9
- Slow EMA: 21
- Trend EMA: 50
### Oscillators:
- RSI Period: 14, Overbought: 70, Oversold: 30
- Stochastic K: 14, D: 3, Overbought: 80, Oversold: 20
### MACD:
- Fast: 12, Slow: 26, Signal: 9
### Volume:
- MA Period: 20, Multiplier: 1.5
### Market Structure:
- ATR Period: 14, Multiplier: 2.0
- Volatility Filter: 50.0%
- Pivot Length: 10
### Fibonacci:
- Lookback: 50, Tolerance: 2.0%
### Signal Quality:
- Confirmation Bars: 0
- Min RR Ratio: 1.0
### Display:
- Show Labels: ON
- Show S/R: ON
- Show Trend: ON
### Debug (All Disabled by Default):
- Enable RSI: OFF
- Enable Stochastic: OFF
- Enable MACD: OFF
- Enable Price Structure: OFF
- Enable Trend Alignment: OFF
- Enable Volume: OFF
- Enable Fibonacci: OFF
- Enable Risk:Reward: OFF
- Enable Volatility: OFF
Volume Labels BABYBOTVolume labels babybot spwan for use with 1 min breakout volume candles OKLO NFLX ASML HIMS
VWAP Volume Profile [BigBeluga]🔵 OVERVIEW
VWAP Volume Profile is an advanced hybrid of the VWAP and volume profile concepts. It visualizes how volume accumulates relative to VWAP movement—separating rising (+VWAP) and declining (−VWAP) activity into two mirrored horizontal profiles. It highlights the dominant price bins (POCs) where volume peaked during each directional phase, helping traders spot hidden accumulation or distribution zones.
🔵 CONCEPTS
VWAP-Driven Profiling: Unlike standard volume profiles, this tool segments volume based on VWAP movement—accumulating positive or negative volume depending on VWAP slope.
Dual-Sided Profiles: Profiles expand horizontally to the right of price. Separate bins show rising (+) and falling (−) VWAP volume.
Bin Logic: Volume is accumulated into defined horizontal bins based on VWAP’s position relative to price ranges.
Gradient Coloring: Volume bars are colored with a dynamic gradient to emphasize intensity and direction.
POC Highlighting: The highest-volume bin in each profile type (+/-) is marked with a transparent box and label.
Contextual VWAP Line: VWAP is plotted and dynamically colored (green = rising, orange = falling) for instant trend context.
Candle Overlay: Price candles are recolored to match the VWAP slope for full visual integration.
🔵 FEATURES
Dual-sided horizontal volume profiles based on VWAP slope.
Supports rising VWAP , falling VWAP , or both simultaneously.
Customizable number of bins and lookback period.
Dynamically colored VWAP line to show rising/falling bias.
POC detection and labeling with volume values for +VWAP and −VWAP.
Candlesticks are recolored to match VWAP bias for intuitive momentum tracking.
Optional background boxes with customizable styling.
Adaptive volume scaling to normalize bar length across markets.
🔵 HOW TO USE
Use POC zones to identify high-volume consolidation areas and potential support/resistance levels.
Watch for shifts in VWAP direction and observe how volume builds differently during uptrends and downtrends.
Use the gradient profile shape to detect accumulation (widening volume below price) or distribution (above price).
Use candle coloring for real-time confirmation of VWAP bias.
Adjust the profile period or bin count to fit your trading style (e.g., intraday scalping or swing trading).
🔵 CONCLUSION
VWAP Volume Profile merges two essential concepts—volume and VWAP—into a single, high-precision tool. By visualizing how volume behaves in relation to VWAP movement, it uncovers hidden dynamics often missed by traditional profiles. Perfect for intraday and swing traders who want a more nuanced read on market structure, trend strength, and volume flow.
Panel Pro+ Quantum SmartPromptPanel Pro+ Check 2.0
*It's a panel with integrated artificial intelligence in offline mode.
*It provides live chart prompts.
*It recognizes market types, such as bullish, bearish, box, sideways, volatile, etc.
*It performs a comprehensive evaluation and takes buy or sell actions, with the corresponding profit-taking.
High Volume Buyers/Sellers+High Volume Buyers/Sellers+
This indicator helps traders spot bars where unusually high or extreme volume occurs, indicating strong buying or selling pressure.
How it works:
Calculates a volume moving average (SMA) over a user-defined period.
Marks bars where the current volume exceeds:
High Volume Multiplier → small green circle (bullish) or red circle (bearish).
Extreme Volume Multiplier → small green up-triangle (bullish) or red down-triangle (bearish).
Settings:
Volume MA Period → Number of bars used to calculate the average volume.
High Volume Multiplier → Threshold to define high volume.
Extreme Volume Multiplier → Threshold to define extreme volume.
Show Extreme Volume Signals → Option to enable or disable extreme volume markers.
Usage tips:
Apply this indicator on a clean chart to visually highlight momentum bursts or exhaustion points.
It works well for both intraday and swing trading strategies where volume confirmation matters.
⚠ Note: This script only displays on-chart markers and does not plot any lines or indicators.
Volume Peak LineA fully configurable “Volume Peak Line” indicator that draws a horizontal threshold at the highest volume over the last X candles (default 5).
Custom lookback (X volume candles)
Optional alert when current volume exceeds that peak
Separate up/down volume bars (green/red) or hide them to use your own volume overlays
Use it to spot surges in trading activity on any timeframe—ideal for intraday or swing setups where a barn-burner volume bar can signal a reversal or the start of a new trend.
Iambuoyant High Win Rate TraderIambuoyant High Win Rate Trader (Debug Signals) - Indicator Description
Introduction
The "Iambuoyant High Win Rate Trader" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
Strategies Used
This indicator employs a sophisticated combination of strategies, each contributing to a stronger signal when aligned:
Trend Analysis:
Multiple EMAs: It utilizes three Exponential Moving Averages (EMAs) – a fast, slow, and a longer-term trend EMA – to establish the prevailing market direction. Signals are filtered to align with this identified trend, enhancing their probability of success.
Trend Alignment: Confirms that price action is consistent with the established EMA trend, ensuring trades are taken in the direction of momentum.
Oscillator Confirmation:
Relative Strength Index (RSI): Employs RSI to identify overbought and oversold conditions, with a specific focus on the RSI turning away from extreme levels, suggesting a potential reversal or continuation point.
Stochastic Oscillator: Similar to RSI, the Stochastic Oscillator is used to pinpoint overbought and oversold zones, with additional confirmation from the %K and %D lines crossing or turning.
Momentum and Divergence (MACD):
Moving Average Convergence Divergence (MACD): The indicator analyzes MACD line and signal line crossovers, alongside histogram movement, to gauge momentum shifts and potential trade entries.
Volume Analysis:
Volume Confirmation: Integrates volume analysis by comparing current volume to a Volume Moving Average. Higher-than-average volume during a signal can confirm conviction behind the price move.
Market Structure and Volatility:
Support and Resistance (S/R) Levels: Dynamic support and resistance levels are identified using pivot points. These levels are used to inform potential stop-loss placements and to ensure trades aren't initiated directly into strong opposing S/R zones.
Average True Range (ATR): ATR is used to measure market volatility, which helps in adjusting trade sizing and stop-loss distances. A volatility filter is included to prevent trades in excessively choppy or illiquid conditions.
Risk Management:
Dynamic Stop Loss: The indicator attempts to identify logical stop-loss levels based on recent price action or nearby support/resistance.
Risk:Reward Ratio Filtering: A configurable minimum Risk:Reward ratio ensures that only trades with a favorable potential return relative to the risk are considered, promoting disciplined trading.
Signal Confirmation:
Confirmation Bars: An optional confirmBars input allows for signals to be confirmed over a specified number of bars, reducing false positives by waiting for price action to sustain the initial signal. (Note: For debugging, this is often set to 0 for immediate signals.)
How to Use the Indicator
Add to Chart: Apply the "Iambuoyant High Win Rate Trader (Debug Signals)" indicator to your desired chart in TradingView. It's an overlay indicator, meaning it will plot directly on your price chart.
Understand the Signals:
Buy Signals (Green Triangles/Labels): Appear below the price bars, indicating a potential long entry.
Sell Signals (Red Triangles/Labels): Appear above the price bars, indicating a potential short entry.
"Flash" Signals: Smaller, colored triangles indicate the immediate bar where the signal conditions are first met.
"Confirmed" Signals: Larger, shaded triangles with labels indicate that the signal has passed the confirmBars criteria (if confirmBars is set to greater than 0).
Utilize Debugging Features (Crucial for Optimization):
Access Inputs: Open the indicator's settings by clicking the gear icon next to its name on the chart.
"Signal Components (Debugging)" Section: This is the most powerful feature for tailoring the indicator to your needs.
Initial Setup: When first applying the indicator or if signals are too rare, start by setting most "Enable X Condition" toggles to false, potentially leaving only one or two simple conditions (e.g., "Enable RSI Condition" or "Enable Trend Alignment") as true. This will force signals to appear, allowing you to confirm the plotting mechanism works.
Gradual Re-enabling: Once you see signals, gradually re-enable one "Enable X Condition" at a time.
Observe Debug Plots (Lower Pane): Below your main chart, the indicator plots colored columns (e.g., "Debug: RSI Bull", "Debug: MACD Bear"). These show when each individual component of the long/short signal is true (1 or 2) or false (0 or na). The "Debug: Final Long Signal" and "Debug: Final Short Signal" plots show when the combined signal conditions are met.
Identify Bottlenecks: If signals disappear after enabling a new condition, observe its corresponding debug plot. If it's frequently 0 when other conditions are 1, you've found a bottleneck.
Adjust Parameters: For bottlenecks, go back to the relevant input section (e.g., "Oscillators," "Market Structure," "Signal Quality") and adjust parameters (e.g., rsiOB/rsiOS, stochOB/stochOS, volatilityFilter, minRRRatio) to be less strict until signals appear at your desired frequency. Alternatively, you may decide to leave that specific condition disabled if it's too restrictive for your strategy.
Configure Display Options: Use the "Display" group in the inputs to toggle the visibility of labels, support/resistance lines, and EMA trend lines on your chart.
Set Up Alerts: The indicator includes built-in alert conditions for "Confirmed Buy Signal" and "Confirmed Sell Signal." You can set up alerts in TradingView to be notified instantly when these signals occur, allowing you to monitor the market without constant chart watching.
Ultimate Market Structure [Alpha Extract]Ultimate Market Structure
A comprehensive market structure analysis tool that combines advanced swing point detection, imbalance zone identification, and intelligent break analysis to identify high-probability trading opportunities.Utilizing a sophisticated trend scoring system, this indicator classifies market conditions and provides clear signals for structure breaks, directional changes, and fair value gap detection with institutional-grade precision.
🔶 Advanced Swing Point Detection
Identifies pivot highs and lows using configurable lookback periods with optional close-based analysis for cleaner signals. The system automatically labels swing points as Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) while providing advanced classifications including "rising_high", "falling_high", "rising_low", "falling_low", "peak_high", and "valley_low" for nuanced market analysis.
swingHighPrice = useClosesForStructure ? ta.pivothigh(close, swingLength, swingLength) : ta.pivothigh(high, swingLength, swingLength)
swingLowPrice = useClosesForStructure ? ta.pivotlow(close, swingLength, swingLength) : ta.pivotlow(low, swingLength, swingLength)
classification = classifyStructurePoint(structureHighPrice, upperStructure, true)
significance = calculateSignificance(structureHighPrice, upperStructure, true)
🔶 Significance Scoring System
Each structure point receives a significance level on a 1-5 scale based on its distance from previous points, helping prioritize the most important levels. This intelligent scoring system ensures traders focus on the most meaningful structure breaks while filtering out minor noise.
🔶 Comprehensive Trend Analysis
Calculates momentum, strength, direction, and confidence levels using volatility-normalized price changes and multi-timeframe correlation. The system provides real-time trend state tracking with bullish (+1), bearish (-1), or neutral (0) direction assessment and 0-100 confidence scoring.
// Calculate trend momentum using rate of change and volatility
calculateTrendMomentum(lookback) =>
priceChange = (close - close ) / close * 100
avgVolatility = ta.atr(lookback) / close * 100
momentum = priceChange / (avgVolatility + 0.0001)
momentum
// Calculate trend strength using multiple timeframe correlation
calculateTrendStrength(shortPeriod, longPeriod) =>
shortMA = ta.sma(close, shortPeriod)
longMA = ta.sma(close, longPeriod)
separation = math.abs(shortMA - longMA) / longMA * 100
strength = separation * slopeAlignment
❓How It Works
🔶 Imbalance Zone Detection
Identifies Fair Value Gaps (FVGs) between consecutive candles where price gaps create unfilled areas. These zones are displayed as semi-transparent boxes with optional center line mitigation tracking, highlighting potential support and resistance levels where institutional players often react.
// Detect Fair Value Gaps
detectPriceImbalance() =>
currentHigh = high
currentLow = low
refHigh = high
refLow = low
if currentOpen > currentClose
if currentHigh - refLow < 0
upperBound = currentClose - (currentClose - refLow)
lowerBound = currentClose - (currentClose - currentHigh)
centerPoint = (upperBound + lowerBound) / 2
newZone = ImbalanceZone.new(
zoneBox = box.new(bar_index, upperBound, rightEdge, lowerBound,
bgcolor=bullishImbalanceColor, border_color=hiddenColor)
)
🔶 Structure Break Analysis
Determines Break of Structure (BOS) for trend continuation and Directional Change (DC) for trend reversals with advanced classification as "continuation", "reversal", or "neutral". The system compares pre-trend and post-trend states for each break, providing comprehensive trend change momentum analysis.
🔶 Intelligent Zone Management
Features partial mitigation tracking when price enters but doesn't fully fill zones, with automatic zone boundary adjustment during partial fills. Smart array management keeps only recent structure points for optimal performance while preventing duplicate signals from the same level.
🔶 Liquidity Zone Detection
Automatically identifies potential liquidity zones at key structure points for institutional trading analysis. The system tracks broken structure points and provides adaptive zone extension with configurable time-based limits for imbalance areas.
🔶 Visual Structure Mapping
Provides clear visual indicators including swing labels with color-coded significance levels, dashed lines connecting break points with BOS/DC labels, and break signals for continuation and reversal patterns. The adaptive zones feature smart management with automatic mitigation tracking.
🔶 Market Structure Interpretation
HH/HL patterns indicate bullish market structure with trend continuation likelihood, while LH/LL patterns signal bearish structure with downtrend continuation expected. BOS signals represent structure breaks in trend direction for continuation opportunities, while DC signals warn of potential reversals.
🔶 Performance Optimization
Automatic cleanup of old structure points (keeps last 8 points), recent break tracking (keeps last 5 break events), and efficient array management ensure smooth performance across all timeframes and market conditions.
Why Choose Ultimate Market Structure ?
This indicator provides traders with institutional-grade market structure analysis, combining multiple analytical approaches into one comprehensive tool. By identifying key structure levels, imbalance zones, and break patterns with advanced significance scoring, it helps traders understand market dynamics and position themselves for high-probability trade setups in alignment with smart money concepts. The sophisticated trend scoring system and intelligent zone management make it an essential tool for any serious trader looking to decode market structure with precision and confidence.
Exchanges Combined Volume📊 Exchanges Combined Volume
(Aggregated Multi-Exchange Volume: Binance, OKX, Bybit, etc.) by BIGTAKER*
🔍 Purpose
The Exchanges Combined Volume indicator aggregates real-time trading volumes from multiple global exchanges for a specific asset (e.g., a cryptocurrency).
Instead of relying on a single market, it provides a broader view of market activity, helping users detect abnormal volume behavior and increased participation across the entire market.
⚙️ Supported Exchanges
* USDT Markets
`Binance`, `OKX`, `Bybit`, `Bitget`, `Gate.io`
* USD Markets
`Coinbase`, `Bitfinex`, `Bitstamp`
* Default
Includes the current chart symbol’s native volume by default.
🧮 Core Calculation Logic
1. 📛 Symbol Normalization (cleanSymbol)
Prefixes such as `1000`, `10000`, `100000`, or `1M` (common in leveraged tickers) are automatically removed to extract the base token.
> Example:
> `1000PEPEUSDT` → `PEPEUSDT`
2. 📈 Volume Requests from External Exchanges
Volume is retrieved using the `` format (e.g., `'BINANCE:PEPEUSDT'`, `'COINBASE:BTCUSD'`).
Invalid or delisted pairs are safely ignored using `ignore_invalid_symbol=true`.
3. 📊 Total Volume Calculation
totalVolume = usdtVolume + usdVolume + currentSymbolVolume
The indicator sums the volume from all target exchanges plus the volume from the current chart symbol.
4. 📏 Comparison to Average Volume
* Period: `length = 60` (Simple Moving Average over 60 candles)
* A candle is considered **high-intensity** if:
5. 🎨 Visual Styling
| Condition | Color | Meaning |
| -------------------------- | --------------------- | ----------------------- |
| High-volume Bullish Candle | Light Green (#30db78) | Strong Buying Activity |
| High-volume Bearish Candle | Bright Red (#ff0000) | Strong Selling Activity |
| Normal Bullish Candle | Dark Green (#3c7058) | Regular Buying Volume |
| Normal Bearish Candle | Dark Red (#682e2c) | Regular Selling Volume |
📌 Use Cases
* Detect synchronized volume surges across major global exchanges.
* Identify pre-pump accumulation phases on altcoins.
* Combine with premium gap indicators (e.g., Kimchi Premium) to identify leading market sentiment.
* Confirm breakout momentum with multi-exchange volume validation.
📘 Notes & Warnings
* Listing differences across exchanges may result in **zero volume** on some platforms.
* Prefixes like `1000`, `1M`, etc., are automatically removed to **improve symbol matching accuracy**.
* As volume units are not standardized, this indicator is best suited for **absolute value analysis**, not ratio-based comparisons.
Price Volume Trend [sgbpulse]1. Introduction: What is Price Volume Trend (PVT)?
The Price Volume Trend (PVT) indicator is a powerful technical analysis tool designed to measure buying and selling pressure in the market based on price changes relative to trading volume. Unlike other indicators that focus solely on volume or price, PVT combines both components to provide a more comprehensive picture of trend strength.
How is it Calculated?
The PVT is calculated by adding or subtracting a proportional part of the daily volume from a cumulative total.
When the closing price rises, a proportional part of the daily volume (based on the percentage price change) is added to the previous PVT value.
When the closing price falls, a proportional part of the daily volume is subtracted from the previous PVT value.
If there is no change in price, the PVT value remains unchanged.
The result of this calculation is a cumulative line that rises when buying pressure is strong and falls when selling pressure dominates.
2. Why PVT? Comparison to Similar Indicators
While other indicators measure volume-price pressure, PVT offers a unique advantage:
PVT vs. On-Balance Volume (OBV):
OBV simply adds or subtracts the entire day's volume based on the closing direction (up/down), regardless of the magnitude of the price change. This means a 0.1% price change is treated the same as a 10% change.
PVT, on the other hand, gives proportional weight to volume based on the percentage price change. A trading day with a large price increase and high volume will impact the PVT significantly more than a small price increase with the same volume. This makes PVT more sensitive to trend strength and changes within it.
PVT vs. Accumulation/Distribution Line (A/D Line):
The A/D Line focuses on the relationship between the closing price and the bar's trading range (Close Location Value) and multiplies it by volume. It indicates whether the pressure is buying or selling within a single bar.
PVT focuses on the change between closing prices of consecutive bars, multiplying this by volume. It better reflects the flow of money into or out of an asset over time.
By combining volume with percentage price change, PVT provides deeper insights into trend confirmation, identifying divergences between price and volume, and spotting signs of weakness or strength in the current trend.
3. Indicator Settings (Inputs)
The "Price Volume Trend " indicator offers great flexibility for customization to your specific needs through the following settings:
Moving Average Type: Allows you to select the type of moving average used for the central line on the PVT. Your choice here will affect the line's responsiveness to PVT movements.
- "None" : No moving average will be displayed on the PVT.
- "SMA" (Simple Moving Average): A simple average, smoother, ideal for identifying longer-term trends in PVT.
- "SMA + Bollinger Bands": This unique option not only displays a Simple Moving Average but also activates the Bollinger Bands around the PVT. This is the recommended option for analyzing volatility and ranges using Bollinger Bands.
- "EMA" (Exponential Moving Average): An exponential average, giving more weight to recent data, responding faster to changes in PVT.
- "SMMA (RMA)" (Smoothed Moving Average): A smoothed average, providing extra smoothing, less sensitive to noise.
- "WMA" (Weighted Moving Average): A weighted average, giving progressively more weight to recent data, responding very quickly to changes in PVT.
Moving Average Length: Defines the number of bars used to calculate the moving average (and, if applicable, the standard deviation for the Bollinger Bands). A lower value will make the line more responsive, while a higher value will smooth it out.
PVT BB StdDev (Bollinger Bands Standard Deviation): Determines the width of the Bollinger Bands. A higher value will result in wider bands, making it less likely for the PVT to cross them. The standard value is 2.0.
4. Visual Aid: Current PVT Level Line
This indicator includes a unique and highly useful visual feature: a dynamic horizontal line displayed on the PVT graph.
Purpose: This line marks the exact level of the PVT on the most recent trading bar. It extends across the entire chart, allowing for a quick and intuitive comparison of the current level to past levels.
Why is it Important?
- Identifying Divergences: Often, an asset's price may be lower or higher than past levels, but the PVT level might be different. This auxiliary line makes it easy to spot situations where PVT is at a higher level when the price is lower, or vice-versa, which can signal potential trend changes (e.g., higher PVT than in the past while price is low could indicate strong accumulation).
- Quick Direction Indication: The line's color changes dynamically: it will be green if the PVT value on the last bar has increased (or remained the same) relative to the previous bar (indicating positive buying pressure), and red if the PVT value has decreased relative to the previous bar (indicating selling pressure). This provides an immediate visual cue about the direction of the cumulative momentum.
5. 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.
Multi Ranges Volume Distribution [LuxAlgo]The Multi Ranges Volume Distribution tool allows traders to see the volume distribution by price for three different timeframes simultaneously. Each distribution can report the total amount of accumulated volume or the accumulated buy/sell volume separately.
Levels are displayed at the top and bottom of each timeframe's range, as well as the POC or level with the most volume.
🔶 USAGE
By default, the tool displays daily, weekly, and monthly volume distributions, highlighting the accumulated volume within each row.
Each distribution shows the volume at each price, as well as three lines: the top and bottom prices, and the price at which the most volume was traded.
The reported accumulated volume can be useful for highlighting which price areas are of the most interest to traders, with the specific timeframe specifying whether this interest is long-term or short-term.
🔹 Timeframes & Rows
Traders can adjust the timeframe and the number of rows for each volume distribution.
This is useful for multi-timeframe analysis of volume at the same price levels, or for obtaining detailed data within the same timeframe.
The chart above shows three volume distributions with the same monthly timeframe but a different number of rows; each is more detailed than the previous one.
🔹 Total vs Buy & Sell Volume
Traders can choose to display either the total volume or the buy and sell volumes.
As we can see on the above chart, the background of each row uses a gradient that is a function of the delta between the buy and sell volumes.
This is useful to determine which areas attract buyers and sellers.
🔶 SETTINGS
Volume Display: Select between total volume and buy and sell volume.
Distance between each box: Adjust the spacing of the volume distributions.
Period A: Select a timeframe and the number of rows.
Period B: Select a timeframe and the number of rows.
Period C: Select a timeframe and the number of rows.
BuySell Volume Bar Chart• Separates estimated Buy and Sell volume per bar using price action logic
• Plots them in a dual-axis format: buy volume goes up, sell volume goes down
• Colors are dynamic — whichever side dominates gets the stronger color, the weaker side is shaded
• Includes a live difference metric (Δ Volume) as a third value in the indicator title
• Automatically filters out flat/no-move bars to avoid misleading spikes
The live difference metric ("Δ Volume") can be controlled.
This metric calculates the difference between the buying and selling volume live, where it takes the Buy Volume - Sell Volume.
This difference is then displayed in either green (BV > SV) or red (SV > BV). You can toggle it on/off by entering the indicator's settings or double tapping the indicator name on the TV chart.
Another pretty cool thing is the modular colors - you can customize your candle colors and shades to your liking within the code!
Liquidity Spectrum Visualizer [BigBeluga]🔵 OVERVIEW
The Liquidity Spectrum Visualizer is a smart tool for exposing hidden liquidity zones by combining a dynamic volume profile, clear liquidity levels, and intuitive volume bubbles directly on your price chart. It shows you exactly where significant volume is clustering inside your chosen lookback period — highlighting where big market participants may be defending price or planning breakouts.
🔵 CONCEPTS
Volume Profile Bins: Breaks your custom lookback range into 100 fine price bins, calculating total volume per bin to create a precise vertical liquidity histogram.
Liquidity Levels: Bins with high relative volume automatically plot as horizontal lines — thicker and brighter lines signal stronger liquidity concentrations.
Dynamic Coloring: Profile bins and liquidity levels adjust their colors live based on whether current price is trading above (support) or below (resistance).
Volume Bubbles: Each candle displays a bubble at its HLC3 price —
- The bubble’s size shows relative candle volume.
- Its color gradient indicates bullish or bearish volume: greenish for bullish candles, orange for bearish.
Bubble Labels: The largest bubbles automatically label the actual volume amount, revealing big hidden flows.
Range Box High/Low: Marks the absolute swing high and low inside the lookback window, clearly framing the active liquidity zone.
🔵 FEATURES
Smart, auto-scaled volume profile up to 200 candles (or custom).
Liquidity levels with dynamic thickness and color based on real-time volume.
Bubbles sized and colored to show both volume magnitude and bullish/bearish bias.
Largest bubbles labeled for fast detection of high-impact bars.
High and low price labels clearly show the analyzed range.
Toggle Volume Profile, Liquidity Levels, and Bubbles independently.
🔵 HOW TO USE
Watch for thick, bright liquidity levels — these zones mark where large orders or stop clusters are likely hidden.
Use dynamic coloring: if price is above a level, it’s support; if below, it’s resistance.
Pay special attention to big bubbles: these mark sudden spikes in traded volume and can signal absorption, traps, breakouts or significant price levels.
Combine with your existing confluence tools to confirm breakouts or fakeouts around visible liquidity clusters.
🔵 CONCLUSION
The Liquidity Spectrum Visualizer transforms hidden order flow into an intuitive, color-coded map. You see at a glance where price is absorbing, consolidating, or ready to break — all powered by real-time volume behavior and smart visuals. It’s a must-have tool for traders who want to read liquidity and react ahead of the crowd.
Market Entropy Strategy V2.5This strategy is an updated version of a market entropy-based trading system. It removes EMA dependencies and introduces two indicators:
1. **Volatility Momentum Index (VMI)**: Measures volatility acceleration for timing entries (from calm to active phases) and exits (at peak chaos).
2. **Volume-Weighted Price Center (VWPC)**: A volume-weighted trend filter using typical price to determine overall market direction.
The strategy enters trades on transitions from low volatility ("calm") to increasing activity, filtered by trend direction. Exits occur when volatility reaches a high "chaos" threshold. It supports long, short, or both directions, with configurable parameters for optimization.
Backtest results depend on market conditions; use with caution and combine with your own analysis. No guarantees of performance.
Liquidity Break Probability [PhenLabs]📊 Liquidity Break Probability
Version: PineScript™ v6
The Liquidity Break Probability indicator revolutionizes how traders approach liquidity levels by providing real-time probability calculations for level breaks. This advanced indicator combines sophisticated market analysis with machine learning inspired probability models to predict the likelihood of high/low breaks before they happen.
Unlike traditional liquidity indicators that simply draw lines, LBP analyzes market structure, volume profiles, momentum, volatility, and sentiment to generate dynamic break probabilities ranging from 5% to 95%. This gives traders unprecedented insight into which levels are most likely to hold or break, enabling more confident trading decisions.
🚀 Points of Innovation
Advanced 6-factor probability model weighing market structure, volatility, volume, momentum, patterns, and sentiment
Real-time probability updates that adjust as market conditions change
Intelligent trading style presets (Scalping, Day Trading, Swing Trading) with optimized parameters
Dynamic color-coded probability labels showing break likelihood percentages
Professional tiered input system - from quick setup to expert-level customization
Smart volume filtering that only highlights levels with significant institutional interest
🔧 Core Components
Market Structure Analysis: Evaluates trend alignment, level strength, and momentum buildup using EMA crossovers and price action
Volatility Engine: Incorporates ATR expansion, Bollinger Band positioning, and price distance calculations
Volume Profile System: Analyzes current volume strength, smart money proxies, and level creation volume ratios
Momentum Calculator: Combines RSI positioning, MACD strength, and momentum divergence detection
Pattern Recognition: Identifies reversal patterns (doji, hammer, engulfing) near key levels
Sentiment Analysis: Processes fear/greed indicators and market breadth measurements
🔥 Key Features
Dynamic Probability Labels: Real-time percentage displays showing break probability with color coding (red >70%, orange >50%, white <50%)
Trading Style Optimization: One-click presets automatically configure sensitivity and parameters for your trading timeframe
Professional Dashboard: Live market state monitoring with nearest level tracking and active level counts
Smart Alert System: Customizable proximity alerts and high-probability break notifications
Advanced Level Management: Intelligent line cleanup and historical analysis options
Volume-Validated Levels: Only displays levels backed by significant volume for institutional-grade analysis
🎨 Visualization
Recent Low Lines: Red lines marking validated support levels with probability percentages
Recent High Lines: Blue lines showing resistance zones with break likelihood indicators
Probability Labels: Color-coded percentage labels that update in real-time
Professional Dashboard: Customizable panel showing market state, active levels, and current price
Clean Display Modes: Toggle between active-only view for clean charts or historical view for analysis
📖 Usage Guidelines
Quick Setup
Trading Style Preset
Default: Day Trading
Options: Scalping, Day Trading, Swing Trading, Custom
Description: Automatically optimizes all parameters for your preferred trading timeframe and style
Show Break Probability %
Default: True
Description: Displays percentage labels next to each level showing break probability
Line Display
Default: Active Only
Options: Active Only, All Levels
Description: Choose between clean active-only view or comprehensive historical analysis
Level Detection Settings
Level Sensitivity
Default: 5
Range: 1-20
Description: Lower values show more levels (sensitive), higher values show fewer levels (selective)
Volume Filter Strength
Default: 2.0
Range: 0.5-5.0
Description: Controls minimum volume threshold for level validation
Advanced Probability Model
Market Trend Influence
Default: 25%
Range: 0-50%
Description: Weight given to overall market trend in probability calculations
Volume Influence
Default: 20%
Range: 0-50%
Description: Impact of volume analysis on break probability
✅ Best Use Cases
Identifying high-probability breakout setups before they occur
Determining optimal entry and exit points near key levels
Risk management through probability-based position sizing
Confluence trading when multiple high-probability levels align
Scalping opportunities at levels with low break probability
Swing trading setups using high-probability level breaks
⚠️ Limitations
Probability calculations are estimations based on historical patterns and current market conditions
High-probability setups do not guarantee successful trades - risk management is essential
Performance may vary significantly across different market conditions and asset classes
Requires understanding of support/resistance concepts and probability-based trading
Best used in conjunction with other analysis methods and proper risk management
💡 What Makes This Unique
Probability-Based Approach: First indicator to provide quantitative break probabilities rather than simple S/R lines
Multi-Factor Analysis: Combines 6 different market factors into a comprehensive probability model
Adaptive Intelligence: Probabilities update in real-time as market conditions change
Professional Interface: Tiered input system from beginner-friendly to expert-level customization
Institutional-Grade Filtering: Volume validation ensures only significant levels are displayed
🔬 How It Works
1. Level Detection:
Identifies pivot highs and lows using configurable sensitivity settings
Validates levels with volume analysis to ensure institutional significance
2. Probability Calculation:
Analyzes 6 key market factors: structure, volatility, volume, momentum, patterns, sentiment
Applies weighted scoring system based on user-defined factor importance
Generates probability score from 5% to 95% for each level
3. Real-Time Updates:
Continuously monitors price action and market conditions
Updates probability calculations as new data becomes available
Adjusts for level touches and changing market dynamics
💡 Note: This indicator works best on timeframes from 1-minute to 4-hour charts. For optimal results, combine with proper risk management and consider multiple timeframe analysis. The probability calculations are most accurate in trending markets with normal to high volatility conditions.
Volumatic Support/Resistance Levels [BigBeluga]🔵 OVERVIEW
A smart volume-powered tool for identifying key support and resistance zones—enhanced with real-time volume histogram fills and high-volume markers.
Volumatic Support/Resistance Levels detects structural levels from swing highs and lows, and wraps them in dynamic histograms that reflect the relative volume strength around those zones. It highlights the strongest price levels not just by structure—but by the weight of market participation.
🔵 CONCEPTS
Price Zones: Support and resistance levels are drawn from recent price pivots, while volume is used to visually enhance these zones with filled histograms and highlight moments of peak activity using markers.
Histogram Fill = Activity Zone: The width and intensity of each filled zone adjusts to recent volume bursts.
High-Volume Alerts: Circle markers highlight moments of volume dominance directly on the levels—revealing pressure points of support/resistance.
Clean Visual Encoding: Red = resistance zones, green = support zones, orange = high-volume bars.
🔵 FEATURES
Detects pivot-based resistance (highs) and support (lows) using a customizable range length.
Wraps these levels in volume-weighted bands that expand/contract based on percentile volume.
Color fill intensity increases with rising volume pressure, creating a live histogram feel.
When volume > user-defined threshold , the indicator adds circle markers at the top and bottom of that price level zone.
Bar coloring highlights the candles that generated this high-volume behavior (orange by default).
Adjustable settings for all thresholds and colors, so traders can dial in volume sensitivity.
🔵 HOW TO USE
Identify volume-confirmed resistance and support zones for potential reversal or breakout setups.
Focus on levels with intense histogram fill and circle markers —they indicate strong participation.
Use bar coloring to track when key activity started and align it with broader market context.
Works well in combination with order blocks, trend indicators, or liquidity zones.
Ideal for day traders, scalpers, and volume-sensitive setups.
🔵 CONCLUSION
Volumatic Support/Resistance Levels elevates traditional support and resistance logic by anchoring it in volume context. Instead of relying solely on price action, it gives traders insight into where real conviction lies—by mapping how aggressively the market defended or rejected key levels. It's a visual, reactive, and volume-conscious upgrade to your structural toolkit.
Volume Overbought/Oversold Zones📊 What You’ll See on the Chart
Red Background or Red Triangle ABOVE a Candle
🔺 Means: Overbought Volume
→ Volume on that bar is much higher than average (as defined by your settings).
→ Suggests strong activity, possible exhaustion in the trend or an emotional spike.
→ It’s a warning: consider watching for signs of reversal, especially if price is already stretched.
Green Background or Green Triangle BELOW a Candle
🔻 Means: Oversold Volume
→ Volume on that bar is much lower than normal.
→ Suggests the market may be losing momentum, or few sellers are left.
→ Could signal an upcoming reversal or recovery if confirmed by price action.
Orange Line Below the Candles (Volume Moving Average)
📈 Shows the "normal" average volume over the last X candles (default is 20).
→ Helps you visually compare each bar’s volume to the average.
Gray Columns (Actual Volume Bars)
📊 These are your regular volume bars — they rise and fall based on how active each candle is.
🔍 What This Indicator Does (In Simple Words)
This indicator looks at trading volume—which is how many shares/contracts were traded in a given period—and compares it to what's considered "normal" for recent history. When volume is unusually high or low, it highlights those moments on the chart.
It tells you:
• When volume is much higher than normal → market might be overheated or experiencing a buying/selling frenzy.
• When volume is much lower than normal → market might be quiet, potentially indicating lack of interest or indecision.
These conditions are marked visually, so you can instantly spot them.
💡 How It Helps You As a Trader
1. Spotting Exhaustion in Trends (Overbought Signals)
If a market is going up and suddenly volume spikes way above normal, it may mean:
• The move is getting crowded (lots of buyers are already in).
• A reversal or pullback could be near because smart money may be taking profits.
Trading idea: Wait for high-volume up bars, then look for price weakness to consider a short or exit.
2. Identifying Hidden Opportunities (Oversold Signals)
If price is falling but volume drops unusually low, it might mean:
• Panic is fading.
• Sellers are losing energy.
• A bounce or trend reversal could happen soon.
Trading idea: After a volume drop in a downtrend, watch for bullish price patterns or momentum shifts to consider a buy.
3. Confirming or Doubting Breakouts
Volume is critical for confirming breakouts:
• If price breaks a key level with strong volume, it's more likely to continue.
• A breakout without volume could be a fake-out.
This indicator highlights volume surges that can help you confirm such moves.
📈 How to Use It in Practice
• Combine it with candlestick patterns, support/resistance, or momentum indicators.
• Use the background colors or shapes as a visual cue to pause and analyze.
• Adjust the sensitivity to suit fast-moving markets (like crypto) or slow ones (like large-cap stocks).
Uptrick: Universal Z-Score ValuationOverview
The Uptrick: Universal Z-Score Valuation is a tool designed to help traders spot when the market might be overreacting—whether that’s on the upside or the downside. It does this by combining the Z-scores of multiple key indicators into a single average, letting you see how far the current market conditions have stretched away from “normal.” This average is shown as a smooth line, supported by color-coded visuals, signal markers, optional background highlights, and a live breakdown table that shows the contribution of each indicator in real time. The focus here is on spotting potential reversals, not following trends. The indicator works well across all timeframes and asset classes, from fast intraday charts like the 1-minute and 5-minute, to higher timeframes such as the 4-hour, daily, or even weekly. Its universal design makes it suitable for any market — whether you're trading crypto, stocks, forex, or commodities.
Introduction
To understand what this indicator does, let’s start with the idea of a Z-score. In simple terms, a Z-score tells you how far a number is from the average of its recent history, measured in standard deviations. If the price of an asset is two standard deviations above its mean, that means it’s statistically “rare” or extended. That doesn’t guarantee a reversal—but it suggests the move is unusual enough to pay attention.
This concept isn’t new, but what this indicator does differently is apply the Z-score to a wide set of market signals—not just price. It looks at momentum, volatility, volume, risk-adjusted performance, and even institutional price baselines. Each of those indicators is normalized using Z-scores, and then they’re combined into one average. This gives you a single, easy-to-read line that summarizes whether the entire market is behaving abnormally. Instead of reacting to one indicator, you’re reacting to a statistically balanced blend.
Purpose
The goal of this script is to catch turning points—places where the market may be topping out or bottoming after becoming overstretched. It’s built for traders who want to fade sharp moves rather than follow trends. Think of moments when price explodes upward and starts pulling away from every moving average, volume spikes, volatility rises, and RSI shoots up. This tool is meant to spot those situations—not just when price is stretched, but when multiple different indicators agree that something is overdone.
Originality and Uniqueness
Most indicators that use Z-scores only apply them to one thing—price, RSI, or maybe Bollinger Bands. This one is different because it treats each indicator as a contributor to the full picture. You decide which ones to include, and the script averages them out. This makes the tool flexible but also deeply informative.
It doesn’t rely on complex or hidden math. It uses basic Z-score formulas, applies them to well-known indicators, and shows you the result. What makes it unique is the way it brings those signals together—statistically, visually, and interactively—so you can see what’s happening in the moment with full transparency. It’s not trying to be flashy or predictive. It’s just showing you when things have gone too far, too fast.
Inputs and Parameters
This indicator includes a wide range of configurable inputs, allowing users to customize which components are included in the Z-score average, how each indicator is calculated, and how results are displayed visually. Below is a detailed explanation of each input:
General Settings
Z-Score Lookback (default: 100): Number of bars used to calculate the mean and standard deviation for Z-score normalization. Larger values smooth the Z-scores; smaller values make them more reactive.
Bar Color Mode (default: None): Determines how bars are visually colored. Options include: None: No candle coloring applied. - Heat: Smooth gradient based on the Z-score value. - Latest Signal: Applies a solid color based on the most recent buy or sell signal
Boolean - General
Plot Universal Valuation Line (default: true): If enabled, plots the average Z-score (zAvg) line in the separate pane.
Show Signals (default: true): Displays labels ("𝓤𝓹" for buy, "𝓓𝓸𝔀𝓷" for sell) when zAvg crosses above or below user-defined thresholds.
Show Z-Score Table (default: true): Displays a live table listing each enabled indicator's Z-score and the current average.
Select Indicators
These toggles enable or disable each indicator from contributing to the Z-score average:
Use VWAP Z-Score (default: true)
Use Sortino Z-Score (default: true)
Use ROC Z-Score (default: true)
Use Price Z-Score (default: true)
Use MACD Histogram Z-Score (default: false)
Use Bollinger %B Z-Score (default: false)
Use Stochastic K Z-Score (default: false)
Use Volume Z-Score (default: false)
Use ATR Z-Score (default: false)
Use RSI Z-Score (default: false)
Use Omega Z-Score (default: true)
Use Sharpe Z-Score (default: true)
Only enabled indicators are included in the average. This modular design allows traders to tailor the signal mix to their preferences.
Indicator Lengths
These inputs control how each individual indicator is calculated:
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Bollinger Basis Length (default: 20): Used to compute the Bollinger %B.
Bollinger Deviation Multiplier (default: 2.0): Standard deviation multiplier for the Bollinger Band calculation.
Stochastic Length (default: 14)
ATR Length (default: 14)
RSI Length (default: 14)
ROC Length (default: 10)
Zones
These thresholds define key signal levels for the Z-score average:
Neutral Line Level (default: 0): Baseline for the average Z-score.
Bullish Zone Level (default: -1): Optional intermediate zone suggesting early bullish conditions.
Bearish Zone Level (default: 1): Optional intermediate zone suggesting early bearish conditions.
Z = +2 Line Level (default: 2): Primary threshold for bearish signals.
Z = +3 Line Level (default: 3): Extreme bearish warning level.
Z = -2 Line Level (default: -2): Primary threshold for bullish signals.
Z = -3 Line Level (default: -3): Extreme bullish warning level.
These zone levels are used to generate signals, fill background shading, and draw horizontal lines for visual reference.
Why These Indicators Were Merged
Each indicator in this script was chosen for a specific reason. They all measure something different but complementary.
The VWAP Z-score helps you see when price has moved far from the volume-weighted average, often used by institutions.
Sortino Ratio Z-score focuses only on downside risk, which is often more relevant to traders than overall volatility.
ROC Z-score shows how fast price is changing—strong momentum may burn out quickly.
Price Z-score is the raw measure of how far current price has moved from its mean.
RSI Z-score shows whether momentum itself is stretched.
MACD Histogram Z-score captures shifts in trend strength and acceleration.
%B (Bollinger) Z-score indicates how close price is to the upper or lower volatility envelope.
Stochastic K Z-score gives a sense of how high or low price is relative to its recent range.
Volume Z-score shows when trading activity is unusually high or low.
ATR Z-score gives a read on volatility, showing if price movement is expanding or contracting.
Sharpe Z-score measures reward-to-risk performance, useful for evaluating trend quality.
Omega Z-score looks at the ratio of good returns to bad ones, offering a more nuanced view of efficiency.
By normalizing each of these using Z-scores and averaging only the ones you turn on, the script creates a flexible, balanced view of the market’s statistical stretch.
Calculations
The core formula is the standard Z-score:
Z = (current value - average) / standard deviation
Every indicator uses this formula after it’s calculated using your chosen settings. For example, RSI is first calculated as usual, then its Z-score is calculated over your selected lookback period. The script does this for every indicator you enable. Then it averages those Z-scores together to create a single value: zAvg. That value is plotted and used to generate visual cues, signals, table values, background color changes, and candle coloring.
Sequence
Each selected indicator is calculated using your custom input lengths.
The Z-score of each indicator is computed using the shared lookback period.
All active Z-scores are added up and averaged.
The resulting zAvg value is plotted as a line.
Signal conditions check if zAvg crosses user-defined thresholds (default: ±2).
If enabled, the script plots buy/sell signal labels at those crossover points.
The candle color is updated using your selected mode (heatmap or signal-based).
If extreme Z-scores are reached, background highlighting is applied.
A live table updates with each individual Z-score so you know what’s driving the signal.
Features
This script isn’t just about stats—it’s about making them usable in real time. Every feature has a clear reason to exist, and they’re all there to give you a better read on market conditions.
1. Universal Z-Score Line
This is your primary reference. It reflects the average Z-score across all selected indicators. The line updates live and is color-coded to show how far it is from neutral. The further it gets from 0, the brighter the color becomes—cyan for deeply oversold conditions, magenta for overbought. This gives you instant feedback on how statistically “hot” or “cold” the market is, without needing to read any numbers.
2. Signal Labels (“𝓤𝓹” and “𝓓𝓸𝔀𝓷”)
When the average Z-score drops below your lower bound, you’ll see a "𝓤𝓹" label below the bar, suggesting potential bullish reversal conditions. When it rises above the upper bound, a "𝓓𝓸𝔀𝓷" label is shown above the bar—indicating possible bearish exhaustion. These labels are visually clear and minimal so they don’t clutter your chart. They're based on clear crossover logic and do not repaint.
3. Real-Time Z-Score Table
The table shows each indicator's individual Z-score and the final average. It updates every bar, giving you a transparent breakdown of what’s happening under the hood. If the market is showing an extreme average score, this table helps you pinpoint which indicators are contributing the most—so you’re not just guessing where the pressure is coming from.
4. Bar Coloring Modes
You can choose from three modes:
None: Keeps your candles clean and untouched.
Heat: Applies a smooth gradient color based on Z-score intensity. As conditions become more extreme, candle color transitions from neutral to either cyan (bullish pressure) or magenta (bearish pressure).
Latest Signal: Applies hard coloring based on the most recent signal—greenish for a buy, purple for a sell. This mode is great for tracking market state at a glance without relying on a gradient.
Every part of the candle is colored—body, wick, and border—for full visibility.
5. Background Highlighting
When zAvg enters an extreme zone (typically above +2 or below -2), the background shifts color to reflect the market’s intensity. These changes aren’t overwhelming—they’re light fills that act as ambient warnings, helping you stay aware of when price might be reaching a tipping point.
6. Customizable Zone Lines and Fills
You can define what counts as neutral, overbought, and oversold using manual inputs. Horizontal lines show your thresholds, and shaded regions highlight the most extreme zones (+2 to +3 and -2 to -3). These lines give you visual structure to understand where price currently stands in relation to your personal reversal model.
7. Modular Indicator Control
You don’t have to use all the indicators. You can enable or disable any of the 12 with a simple checkbox. This means you can build your own “blend” of market context—maybe you only care about RSI, price, and volume. Or maybe you want everything on. The script adapts accordingly, only averaging what you select.
8. Fully Customizable Sensitivity and Lengths
You can adjust the Z-score lookback length globally (default 100), and tweak individual indicator lengths separately. This lets you tune the indicator’s responsiveness to suit your trading style—slower for longer swings, faster for scalping.
9. Clean Integration with Any Chart Layout
All visual elements are designed to be informative without taking over your chart. The coloring is soft but clear, the labels are readable without being huge, and you can turn off any feature you don’t need. The indicator can work as a full dashboard or as a simple line with a couple of alerts—it’s up to you.
10. Precise, Real-Time Signal Logic
The crossover logic for signals is exact and only fires when the Z-score moves across your defined boundary. No estimation, no delay. Everything is calculated based on current and previous bar data, and nothing repaints or back-adjusts.
Conclusion
The Universal Z-Score Valuation indicator is a tool for traders who want a clear, unbiased way to detect overextension. Instead of relying on a single signal, you get a composite of several market perspectives—momentum, volatility, volume, and more—all standardized into a single view. The script gives you the freedom to control the logic, the visuals, and the components. Whether you use it as a confirmation tool or a primary signal source, it’s designed to give you clarity when markets become chaotic.
Disclaimer
This indicator is for research and educational use only. It does not constitute financial advice or guarantees of performance. All trading involves risk, and users should test any strategy thoroughly before applying it to live markets. Use this tool at your own discretion.
LTF Volume markerLTF Volume Marker
Overview:
The LTF Volume Marker highlights candles that contain volume spikes on a lower timeframe (LTF), even while you are viewing a higher timeframe chart. It is designed to help identify hidden volume activity that may not be visible when aggregating candles.
This indicator is conceptually similar to a volume profile — but instead of showing distribution across price levels, it visualizes volume clusters within the structure of a sloped trend or time-based aggregation.
Key Features:
✅ Automatically detects high-volume candles on a user-defined lower timeframe
✅ Marks the price level of volume spikes using weighted average price (VWAP) within higher timeframe bars
✅ Supports both manual threshold and auto mode (which highlights top X% of volume candles in a selected range)
✅ Fully adjustable timeframe and date range
✅ Displays either a point or an area at the spike location or together
How It Works:
You define a Lower Timeframe (e.g. 1-minute) and optionally a threshold or use the auto mode to dynamically calculate it from past data.
On higher timeframes (e.g. 5-min, 15-min), the indicator looks inside each bar, finds all volume spikes, and plots the volume-weighted average price of those spikes.
If you are on the same timeframe as the LTF, it simply highlights candles with volume exceeding the threshold.
Use Cases:
Spotting hidden volume clusters inside trending moves
Validating support/resistance levels with underlying volume
Filtering false breakouts using intra-bar volume
Enhancing scalping and intraday setups by visualizing internal structure
Notes:
The indicator ignores future-looking data (lookahead=off) and only processes completed bars.
If the chart’s timeframe is lower than the selected LTF, the indicator will automatically disable itself.
Works best with aggregated symbols, such as futures or cryptocurrencies with high resolution data.
Timeshifter Triple Timeframe Strategy w/ SessionsOverview
The "Enhanced Timeshifter Triple Timeframe Strategy with Session Filtering" is a sophisticated trading strategy designed for the TradingView platform. It integrates multiple technical indicators across three different timeframes and allows traders to customize their trading Sessions. This strategy is ideal for traders who wish to leverage multi-timeframe analysis and session-based trading to enhance their trading decisions.
Features
Multi-Timeframe Analysis and direction:
Higher Timeframe: Set to a daily timeframe by default, providing a broader view of market trends.
Trading Timeframe: Automatically set to the current chart timeframe, ensuring alignment with the trader's primary analysis period.
Lower Timeframe: Set to a 15-minute timeframe by default, offering a granular view for precise entry and exit points.
Indicator Selection:
RMI (Relative Momentum Index): Combines RSI and MFI to gauge market momentum.
TWAP (Time Weighted Average Price): Provides an average price over a specified period, useful for identifying trends.
TEMA (Triple Exponential Moving Average): Reduces lag and smooths price data for trend identification.
DEMA (Double Exponential Moving Average): Similar to TEMA, it reduces lag and provides a smoother trend line.
MA (Moving Average): A simple moving average for basic trend analysis.
MFI (Money Flow Index): Measures the flow of money into and out of a security, useful for identifying overbought or oversold conditions.
VWMA (Volume Weighted Moving Average): Incorporates volume data into the moving average calculation.
PSAR (Parabolic SAR): Identifies potential reversals in price movement.
Session Filtering:
London Session: Trade during the London market hours (0800-1700 GMT+1).
New York Session: Trade during the New York market hours (0800-1700 GMT-5).
Tokyo Session: Trade during the Tokyo market hours (0900-1800 GMT+9).
Users can select one or multiple sessions to align trading with specific market hours.
Trade Direction:
Long: Only long trades are permitted.
Short: Only short trades are permitted.
Both: Both long and short trades are permitted, providing flexibility based on market conditions.
ADX Confirmation:
ADX (Average Directional Index): An optional filter to confirm the strength of a trend before entering a trade.
How to Use the Script
Setup:
Add the script to your TradingView chart.
Customize the input parameters according to your trading preferences and strategy requirements.
Indicator Selection:
Choose the primary indicator you wish to use for generating trading signals from the dropdown menu.
Enable or disable the ADX confirmation based on your preference for trend strength analysis.
Session Filtering:
Select the trading sessions you wish to trade in. You can choose one or multiple Sessions based on your trading strategy and market focus.
Trade Direction:
Set your preferred trade direction (Long, Short, or Both) to align with your market outlook and risk tolerance. You can use this feature to gauge the market and understand the possible directions.
Tips for Profitable and Safe Trading:
Recommended Timeframes Combination:
LT: 1m , CT: 5m, HT: 1H
LT: 1-5m , CT: 15m, HT: 4H
LT: 5-15m , CT: 4H, HT: 1W
Backtesting:
Always backtest the strategy on historical data to understand its performance under various market conditions.
Adjust the parameters based on backtesting results to optimize the strategy for your specific trading style.
Risk Management:
Use appropriate risk management techniques, such as setting stop-loss and take-profit levels, to protect your capital.
Avoid over-leveraging and ensure that you are trading within your risk tolerance.
Market Analysis:
Combine the script with other forms of market analysis, such as fundamental analysis or market sentiment, to make well-rounded trading decisions.
Stay informed about major economic events and news that could impact market volatility and trading sessions.
Continuous Monitoring:
Regularly monitor the strategy's performance and make adjustments as necessary.
Keep an eye on the results and settings for real-time statistics and ensure that the strategy aligns with current market conditions.
Education and Practice:
Continuously educate yourself on trading strategies and market dynamics.
Practice using the strategy in a demo account before applying it to live trading to gain confidence and understanding.
Smarter Money Flow Divergence Detector [PhenLabs]📊 Smarter Money Flow Divergence Detector
Version: PineScript™ v6
📌 Description
SMFD was developed to help give you guys a better ability to “read” what is going on behind the scenes without directly having access to that level of data. SMFD is an enhanced divergence detection indicator that identifies money flow patterns from advanced volume analysis and price action correspondence. The detection portion of this indicator combines intelligent money flow calculations with multi timeframe volume analysis to help you see hidden accumulation and distribution phases before major price movements occur.
The indicator measures institutional trading activity by looking at volume surges, price volume dynamics, and the factors of momentum to construct an overall picture of market sentiment. It’s built to assist traders in identifying high probability entries by identifying if smart money is positioning against price action.
🚀 Points of Innovation
● Advanced Smart Money Flow algorithm with volume spike detection and large trade weighting
● Multi timeframe volume analysis for enhanced institutional activity detection
● Dynamic overbought/oversold zones that adapt to current market conditions
● Enhanced divergence detection with pivot confirmation and strength validation
● Color themes with customizable visual styling options
● Real time institutional bias tracking through accumulation/distribution analysis
🔧 Core Components
● Smart Money Flow Calculation: Combines price momentum, volume expansion, and VWAP analysis
● Institutional Bias Oscillator: Tracks accumulation/distribution patterns with volume pressure analysis
● Enhanced Divergence Engine: Detects bullish/bearish divergences with multiple confirmation factors
● Dynamic Zone Detection: Automatically adjusts overbought/oversold levels based on market volatility
● Volume Pressure Analysis: Measures buying vs selling pressure over configurable periods
● Multi factor Signal System: Generates entries with trend alignment and strength validation
🔥 Key Features
● Smart Money Flow Period: Configurable calculation period for institutional activity detection
● Volume Spike Threshold: Adjustable multiplier for detecting unusual institutional volume
● Large Trade Weight: Emphasis factor for high volume periods in flow calculations
● Pivot Detection: Customizable lookback period for accurate divergence identification
● Signal Sensitivity: Three tier system (Conservative/Medium/Aggressive) for signal generation
● Themes: Four color schemes optimized for different chart backgrounds
🎨 Visualization
● Main Oscillator: Line, Area, or Histogram display styles with dynamic color coding
● Institutional Bias Line: Real time tracking of accumulation/distribution phases
● Dynamic Zones: Adaptive overbought/oversold boundaries with gradient fills
● Divergence Lines: Automatic drawing of bullish/bearish divergence connections
● Entry Signals: Clear BUY/SELL labels with signal strength indicators
● Information Panel: Real time statistics and status updates in customizable positions
📖 Usage Guidelines
Algorithm Settings
● Smart Money Flow Period
○ Default: 20
○ Range: 5-100
○ Description: Controls the calculation period for institutional flow analysis.
Higher values provide smoother signals but reduce responsiveness to recent activity
● Volume Spike Threshold
○ Default: 1.8
○ Range: 1.0-5.0
○ Description: Multiplier for detecting unusual volume activity indicating institutional participation. Higher values require more extreme volume for detection
● Large Trade Weight
○ Default: 2.5
○ Range: 1.5-5.0
○ Description: Weight applied to high volume periods in smart money calculations. Increases emphasis on institutional sized transactions
Divergence Detection
● Pivot Detection Period
○ Default: 12
○ Range: 5-50
○ Description: Bars to analyze for pivot high/low identification.
Affects divergence accuracy and signal frequency
● Minimum Divergence Strength
○ Default: 0.25
○ Range: 0.1-1.0
○ Description: Required price change percentage for valid divergence patterns.
Higher values filter out weaker signals
✅ Best Use Cases
● Trading with intraday to daily timeframes for institutional position identification
● Confirming trend reversals when divergences align with support/resistance levels
● Entry timing in trending markets when institutional bias supports the direction
● Risk management by avoiding trades against strong institutional positioning
● Multi timeframe analysis combining short term signals with longer term bias
⚠️ Limitations
● Requires sufficient volume for accurate institutional detection in low volume markets
● Divergence signals may have false positives during highly volatile news events
● Best performance on liquid markets with consistent institutional participation
● Lagging nature of volume based calculations may delay signal generation
● Effectiveness reduced during low participation holiday periods
💡 What Makes This Unique
● Multi Factor Analysis: Combines volume, price, and momentum for comprehensive institutional detection
● Adaptive Zones: Dynamic overbought/oversold levels that adjust to market conditions
● Volume Intelligence: Advanced algorithms identify institutional sized transactions
● Professional Visualization: Multiple display styles with customizable themes
● Confirmation System: Multiple validation layers reduce false signal generation
🔬 How It Works
1. Volume Analysis Phase:
● Analyzes current volume against historical averages to identify institutional activity
● Applies multi timeframe analysis for enhanced detection accuracy
● Calculates volume pressure through buying vs selling momentum
2. Smart Money Flow Calculation:
● Combines typical price with volume weighted analysis
● Applies institutional trade weighting for high volume periods
● Generates directional flow based on price momentum and volume expansion
3. Divergence Detection Process:
● Identifies pivot highs/lows in both price and indicator values
● Validates divergence strength against minimum threshold requirements
● Confirms signals through multiple technical factors before generation
💡 Note: This indicator works best when combined with proper risk management and position sizing. The institutional bias component helps identify market sentiment shifts, while divergence signals provide specific entry opportunities. For optimal results, use on liquid markets with consistent institutional participation and combine with additional technical analysis methods.
