SCPEM - Socionomic Crypto Peak Model (0-85 Scale)SCPEM Indicator Overview
The SCPEM (Socionomic Crypto Peak Evaluation Model) indicator is a TradingView tool designed to approximate cycle peaks in cryptocurrency markets using socionomic theory, which links market behavior to collective social mood. It generates a score from 0-85 (where 85 signals extreme euphoria and high reversal risk) and plots it as a blue line on the chart for visual backtesting and real-time analysis.
#### How It Works
The indicator uses technical proxies to estimate social mood factors, as Pine Script cannot fetch external data like sentiment indices or social media directly. It calculates a weighted composite score on each bar:
- Proxies derive from price, volume, and volatility data.
- The raw sum of factor scores (max ~28) is normalized to 0-85.
- The score updates historically for backtesting, showing mood progression over time.
- Alerts trigger if the score exceeds 60, indicating high peak probability.
Users can adjust inputs (e.g., lengths for RSI or pivots) to fine-tune for different assets or timeframes.
Metrics Used (Technical Proxies)
Crypto-Specific Sentiment
Approximated by RSI (overbought levels indicate greed).
Social Media Euphoria
Based on volume relative to its SMA (spikes suggest herding/FOMO).
Broader Social Mood Proxies
Derived from ATR volatility (high values signal uncertain/mixed mood).
Search and Cultural Interest Proxied by OBV trend (rising accumulation implies growing interest).
Socionomic Wildcard
Uses Bollinger Band width (expansion for positive mood, contraction for negative).
Elliott Wave Position
Counts recent price pivots (more swings indicate later wave stages and exhaustion).
Zyklen
ICT & Zeussy Macro - Vertical Lines at Specific Times 1.0# ICT & Zeussy Macro - Vertical Lines at Specific Times 1.0
## Description
The **ICT & Zeussy Macro - Vertical Lines at Specific Times 1.0** is a Pine Script indicator designed for TradingView to plot vertical lines at user-defined times within each hour, making it a valuable tool for traders following ICT (Inner Circle Trader) and Zeussy macro strategies. The indicator allows users to mark specific times during the trading day with customizable vertical lines, helping to highlight key market moments such as macro times for analysis or trade planning.
## Key Features
- **Customizable Time Selection**: Choose specific hours (00:00 to 23:00) to display vertical lines using checkboxes in the settings.
- **Flexible Minute Inputs**: Define exact minutes for green and orange lines using comma-separated values (e.g., "45,15" for green lines at :45 and :15, or "50,0,10" for orange lines at :50, :00, :10).
- **Color and Style Customization**: Select colors for green and orange lines, as well as the line style (Solid, Dashed, or Dotted) to suit your chart preferences.
- **Historical and Future Plotting**: Configure the number of past and future days to display lines, allowing for analysis of historical patterns or planning for upcoming sessions.
- **Line Limit Management**: The indicator supports up to 500 lines to comply with TradingView's limits, with a warning label displayed if the maximum is reached.
## How It Works
The indicator plots vertical lines at specified minutes within selected hours for each chosen day:
- **Green Lines**: Drawn at user-defined minutes (default: :45 and :15 past the hour).
- **Orange Lines**: Drawn at user-defined minutes (default: :50, :00, and :10 past the hour).
- Users can enable or disable specific hours via checkboxes, and the lines are plotted for the specified number of past and future days.
- The indicator uses the chart's timezone to ensure accurate placement of lines relative to the market's session times.
## Usage
1. **Add to Chart**: Apply the indicator to your TradingView chart.
2. **Configure Settings**:
- In the "Hour Selection" group, check the boxes for the hours you want to display lines (e.g., 08:00 to 23:00 are enabled by default).
- In the "Green Minutes" and "Orange Minutes" fields, enter comma-separated minute values (e.g., "45,15" for green, "50,0,10" for orange).
- Adjust the "Days in Past" and "Days in Future" to control how many days the lines will cover.
- Customize the "Green Color", "Orange Color", and "Line Style" to match your chart aesthetics.
3. **Monitor Limits**: If you see a "Line limit reached (500 max)" warning, reduce the number of selected hours or days to stay within TradingView's line limit.
## Ideal For
- Traders using ICT or Zeussy macro strategies to identify key times for market analysis.
- Users who need to mark recurring time-based events on their charts.
- Technical analysts looking to visualize specific time intervals across multiple days.
## Notes
- Ensure that the number of selected hours and days does not exceed TradingView's 500-line limit to avoid missing lines.
- The indicator respects the chart's timezone, so verify that your chart's timezone aligns with your trading session.
- For optimal performance, limit the number of past and future days when using multiple hours to avoid hitting the line limit.
This indicator is perfect for traders who rely on precise timing for their strategies, offering a clean and customizable way to visualize critical market moments.
z-score-calkusi-v1.143z-scores incorporate the moment of N look-back bars to allow future price projection.
z-score = (X - mean)/std.deviation ; X = close
z-scores update with each new close print and with each new bar. Each new bar augments the mean and std.deviation for the N bars considered. The old Nth bar falls away from consideration with each new historical bar.
The indicator allows two other options for X: RSI or Moving Average.
NOTE: While trading use the "price" option only.
The other two options are provided for visualisation of RSI and Moving Average as z-score curves.
Use z-scores to identify tops and bottoms in the future as well as intermediate intersections through which a z-score will pass through with each new close and each new bar.
Draw lines from peaks and troughs in the past through intermediate peaks and troughs to identify projected intersections in the future. The most likely intersections are those that are formed from a line that comes from a peak in the past and another line that comes from a trough in the past. Try getting at least two lines from historical peaks and two lines from historical troughs to pass through a future intersection.
Compute the target intersection price in the future by clicking on the z-score indicator header to see a drag-able horizontal line to drag over the intersection. The target price is the last value displayed in the indicator's status bar after the closing price.
When the indicator header is clicked, a white horizontal drag-able line will appear to allow dragging the line over an intersection that has been drawn on the indicator for a future z-score projection and the associated future closing price.
With each new bar that appears, it is necessary to repeat the procedure of clicking the z-score indicator header to be able to drag the drag-able horizontal line to see the new target price for the selected intersection. The projected price will be different from the current close price providing a price arbitrage in time.
New intermediate peaks and troughs that appear require new lines be drawn from the past through the new intermediate peak to find a new intersection in the future and a new projected price. Since z-score curves are sort of cyclical in nature, it is possible to see where one has to locate a future intersection by drawing lines from past peaks and troughs.
Do not get fixated on any one projected price as the market decides which projected price will be realised. All prospective targets should be manually updated with each new bar.
When the z-score plot moves outside a channel comprised of lines that are drawn from the past, be ready to adjust to new market conditions.
z-score plots that move above the zero line indicate price action that is either rising or ranging. Similarly, z-score plots that move below the zero line indicate price action that is either falling or ranging. Be ready to adjust to new market conditions when z-scores move back and forth across the zero line.
A bar with highest absolute z-score for a cycle screams "reversal approaching" and is followed by a bar with a lower absolute z-score where close price tops and bottoms are realised. This can occur either on the next bar or a few bars later.
The indicator also displays the required N for a Normal(0,1) distribution that can be set for finer granularity for the z-score curve.This works with the Confidence Interval (CI) z-score setting. The default z-score is 1.96 for 95% CI.
Common Confidence Interval z-scores to find N for Normal(0,1) with a Margin of Error (MOE) of 1:
70% 1.036
75% 1.150
80% 1.282
85% 1.440
90% 1.645
95% 1.960
98% 2.326
99% 2.576
99.5% 2.807
99.9% 3.291
99.99% 3.891
99.999% 4.417
9-Jun-2025
Added a feature to display price projection labels at z-score levels 3, 2, 1, 0, -1, -2, 3.
This provides a range for prices available at the current time to help decide whether it is worth entering a trade. If the range of prices from say z=|2| to z=|1| is too narrow, then a trade at the current time may not be worth the risk.
Added plot for z-score moving average.
28-Jun-2025
Added Settings option for # of Std.Deviation level Price Labels to display. The default is 3. Min is 2. Max is 6.
This feature allows likelihood assessment for Fibonacci price projections from higher time frames at lower time frames. A Fibonacci price projection that falls outside |3.x| Std.Deviations is not likely.
Added Settings option for Chart Bar Count and Target Label Offset to allow placement of price labels for the standard z-score levels to the right of the window so that these are still visible in the window.
Target Label Offset allows adjustment of placement of Target Price Label in cases when the Target Price Label is either obscured by the price labels for the standard z-score levels or is too far right to be visible in the window.
9-Jul-2025
z-score 1.142 updates:
Displays in the status line before the close price the range for the selected Std. Deviation levels specified in Settings and |z-zMa|.
When |z-zMa| > |avg(z-zMa)| and zMa rising, |z-zMa| and zMa displays in aqua.
When |z-zMa| > |avg(z-zMa)| and zMa falling, |z-zMa| and zMa displays in red.
When |z-zMa| <= |avg(z-zMa)|, z and zMa display in gray.
z usually crosses over zMa when zMa is gray but not always. So if cross-over occurs when zMa is not gray, it implies a strong move in progress.
Practice makes perfect.
Use this indicator at your own risk
Z-Score Multi-Model ClusteringA price/volume clustering framework combining three market behavior models into a single indicator. Designed to help identify emerging trend strength, turning points, and volatility-driven entries or exits.
🔍 How It Works
This indicator classifies market states by comparing normalized price/volume behavior (via Z-Score) to different types of statistical or geometric "cluster centers." You can choose from three clustering approaches:
🧠 Clustering Models
1. Percentile (Z+CVD) – Trend Momentum Bias
Uses volume Z-Score + Cumulative Volume Delta (CVD).
Detects institutional pressure by clustering volume surges with directional delta.
Best for: Breakouts, momentum trades, volume-led reversals.
Cluster Colors:
🔹 Green triangle = Strong bullish confluence
🔻 Red triangle = Bearish divergence (bull trap risk)
⚪ Gray = Neutral/low conviction
2. Euclidean (Z+Slope) – Swing Mean-Reversion
Measures the angle of recent Z-score slope and compares it to directional cluster centers.
Helps detect early directional shifts or exhaustion.
Best for: Swing entries, pullback setups, exit timing
3. Hilbert Phase – Turn Detection via Signal Phase
Applies Hilbert Transform to the Z-Score, measuring the phase difference between trend and oscillator components.
Ideal for anticipating turns or detecting cyclical inflection points.
Useful for: Scalping, top/bottom spotting, volatility fades
✅ Features
Auto-updating cluster logic based on current data
Tooltips and clean user interface
Optional cluster bar coloring (can be toggled off)
Signal-only plotting keeps candlesticks readable
Clear entry/exit logic with triangle markers
Supports trend, swing, and oscillation-based systems
🛠️ Suggested Use Cases
Combine with VWAP, Session High/Low, or Liquidity Zones to confirm entry conditions.
Use Cluster 2 (strong bullish) on pullbacks to trend structure for add-on entries.
Use Cluster 1 in strong trends to watch for potential traps or exits.
Toggle models based on your strategy: e.g., Hilbert for scalping, Percentile for macro trend breaks.
🧪 Best Timeframes
Works across all markets and timeframes
For Percentile (Z+CVD), use intraday TF with 1m–5m CVD source
Hilbert and Euclidean preferred on 5m–1h for accurate slope/phase signals
⚠️ Notes
Clusters do not generate trade signals alone; use them in context with structure, VWAP, or trend filters.
Marker signals are filtered with a magnitude threshold to reduce noise.
BitDoctor Risk Appetite DashboardBitDoctor Risk Appetite Dashboard
The BitDoctor Risk Appetite Dashboard is a powerful tool for gauging market sentiment and risk appetite across major asset classes. It combines equity, credit, emerging markets, interest rates, and crypto signals into a single dashboard, giving traders a clear view of current market dynamics.
What it does:
- Calculates momentum for each key asset using a 14-day rate of change.
- Normalizes each signal and plots a composite Risk Appetite Strength Index (RASI) on the chart.
- Displays a dashboard table showing the momentum of each component in percentage terms alongside the composite RASI.
How to use it:
The plotted RASI line shows overall risk appetite:
- Positive readings suggest a stronger risk-on environment.
- Negative readings indicate risk-off sentiment.
The dashboard table (top-right corner by default) displays two columns:
- Asset : The tracked asset symbol.
- Momentum : The current 14-day rate of change as a percentage.
Interpreting the table:
Each row represents a component of market risk sentiment:
- SPY : US equities.
- HYG : High yield bonds (credit risk appetite).
- EEM : Emerging markets.
- 1/UST10Y : Inverted 10-year Treasury yield (lower yields support risk appetite).
- ETH : Ethereum (crypto risk proxy).
- RASI : The average of the above signals, indicating overall market risk appetite.
Higher positive values in the table suggest rising momentum in that asset, which contributes positively to the composite RASI. Conversely, negative values signal declining momentum. You can use these individual readings to see which sectors are driving the current risk sentiment and to time entries and exits accordingly.
Customization:
The indicator allows you to adjust the table's background color, text color, text size, cell padding, and position so it remains readable and unobtrusive regardless of your chart theme.
Use the BitDoctor Risk Appetite Dashboard as part of a broader analysis to align your trades with prevailing risk conditions. It is not a standalone trading signal but a context tool to support better decision-making.
Why these assets were chosen:
The dashboard uses a carefully selected mix of widely-followed proxies for global risk sentiment:
- SPY : Represents large-cap US equity market performance, a key barometer of investor confidence.
- HYG : Tracks high-yield corporate bonds, reflecting credit risk appetite in fixed income markets.
- EEM : Captures emerging market equities, which are highly sensitive to global risk-on/off dynamics.
- 1/UST10Y : The inverse of the US 10-year Treasury yield, as falling yields often accompany risk-on moves and vice versa.
- ETH : Ethereum as a representative crypto asset, offering insight into speculative risk appetite in digital assets.
This mix provides a comprehensive view of sentiment across traditional and alternative markets, making the dashboard a robust tool for gauging overall risk appetite.
ICT Time CaptureICT 8am High/Low + 9am Capture (NY Time) — Fixed 1H
This indicator marks the High and Low of the 8am candle on the 1-hour timeframe fixed to New York time (America/New_York timezone). It also draws a line for the 9am candle open and indicates if the 9am candle “captured” (broke above or below) the 8am High or Low.
Key Features:
Always uses 1-hour data fixed on New York timezone, regardless of the chart’s current timeframe.
Draws horizontal lines for the 8am High and Low, with configurable colors, styles (solid/dashed), thickness, and extension length.
Draws a horizontal line for the 9am open price with customizable style.
Shows labels with price values explaining the lines.
Shows a capture label when the 9am candle breaks above the 8am high or below the 8am low.
Allows full customization of label text colors, line colors, line styles, thickness, and label distances from line start.
How to use:
Use this indicator to monitor key ICT timeframes (8am and 9am NY time) for intraday price action clues.
The capture labels help identify when price breaks key levels from the 8am candle during the 9am candle.
The configurable style options let you customize the indicator to your chart style.
TrendZoneTrendZone - Fibonacci Trendline Indicator
TrendZone is a custom Pine Script indicator that automatically draws fibonacci-based trendlines between key pivot points on your chart.
Key Features:
3 Pivot Points: Set start point, major pivot (reversal), and end point
Dual Trendlines: First trendline (Point 1 → 2) and second trendline (Point 2 → 3)
Fibonacci Levels: Automatically draws 25%, 50%, and 100% fibonacci levels for each trendline
Auto Trend Detection: Automatically identifies bullish/bearish trends and adjusts colors accordingly
Customizable: Full control over colors, line styles, and widths for each fibonacci level
How it Works:
The indicator uses your selected pivot points to create two connected trendline systems. Point 2 serves as the major pivot where the first trend ends and the reversal begins. Each trendline system includes fibonacci retracement levels that extend to the right, helping identify potential support/resistance zones.
Use Cases:
Identifying trend reversals at key pivot points
Finding potential support/resistance levels using fibonacci projections
Visualizing market structure changes between different time periods
Planning entries/exits based on fibonacci trendline interactions
Perfect for traders who use fibonacci analysis combined with trend structure to identify high-probability trading zones.
Structure Pro+ (BOS, CHoCH, FVG, OB)Structure Pro+ (BOS, CHoCH, FVG, OB)
Structure Pro+ is a comprehensive Pine Script indicator designed for traders who utilize Smart Money Concepts (SMC) in their analysis. This powerful tool automatically identifies and visualizes key market structure elements, helping you gain deeper insights into price action and potential institutional movements.
Key Features:
Break of Structure (BOS): Clearly identifies trend continuation by marking points where price breaks a previous swing high in an uptrend or a swing low in a downtrend.
Change of Character (CHoCH): Pinpoints potential trend reversals when price breaks a swing point against the prevailing trend, signaling a shift in market sentiment.
Fair Value Gap (FVG) / Imbalance: Automatically highlights areas where price has moved quickly, leaving behind "imbalances" that often act as magnet zones for future price action.
Mitigation Logic: FVGs are dynamically tracked and can be set to disappear from the chart once mitigated (when price returns to fill the gap).
Order Block (OB): Detects and marks potential institutional order blocks, which are crucial supply and demand zones that frequently act as strong support or resistance levels.
Customizable Settings: Tailor the indicator to your specific trading style with extensive input options, including:
Pivot sensitivity (leftBars, rightBars)
Color and line style for BOS/CHoCH
FVG display options, including color and mitigation behavior
Order Block display options and colors
Label sizing for clarity
Integrated Alerts: Stay informed with built-in alert functionalities for:
BOS occurrences (Bullish/Bearish)
CHoCH occurrences (Bullish/Bearish)
Confluent events: BOS + FVG and CHoCH + FVG, providing high-probability trade setups when structure breaks align with imbalances. The confluenceLookback setting allows you to define the maximum distance between these events for an alert.
Why Use Structure Pro+?
This indicator simplifies the complex process of identifying SMC concepts on your charts. By automatically drawing BOS, CHoCH, FVG, and OB, Structure Pro+ helps you:
Validate your directional bias with clear visual cues.
Identify potential entry and exit points around significant structural levels.
Enhance your market understanding based on institutional footprints.
Receive timely notifications for high-probability setups, so you never miss a critical market event.
Structure Pro+ is an invaluable tool for any trader looking to refine their analysis with Smart Money Concepts.
1H & 2H Candle Panel + Daily Grid v1.2Indicator: "1H & 2H Candle Panel + Daily Grid v1.2"
This powerful indicator combines two key features into one tool:
Daily Grid anchored to the previous day’s close
Multi-Timeframe Candle Panel for comprehensive market analysis
1. Daily Grid Logic
Input:
Grid Distance (Points): Adjustable spacing between grid lines (default: 5.0 pts).
How It Works:
Detects the start of a new trading day using ta.change(time("D")).
Fetches the prior day’s close via request.security().
Draws the following elements at each new session:
Thick Red Line: Previous day’s closing price (key reference level).
8-Point Grid:
4 blue lines above the close (+1x to +4x the grid distance).
4 gold lines below the close (-1x to -4x the grid distance).
Info Label: Displays the exact prior close value.
Automatically clears and redraws all elements daily to avoid clutter.
2. Multi-Timeframe Candle Panel
Timeframes Analyzed:
Current chart TF, 30M, 1H, 2H, 3H, 4H, 6H, 12H, and Daily (1D).
Data Displayed per TF:
Open, Close, High, Low
Price Difference (Close − Open)
Candle Type (Bullish/Bearish)
Time remaining until candle close (hh:mm:ss format)
Visual Output:
A right-aligned table with conditional coloring:
Bullish candles: Green background
Bearish candles: Red background
Current timeframe highlighted in purple.
Optimized Updates:
Uses request.security() for efficient cross-TF data fetching.
Tracks candle closing times via TradingView’s native time_close.
Updates only on the last bar or in real-time (barstate.islast/isrealtime).
3. Confluence Signals
Full Confluence:
Triggers when all timeframes align:
Buy Signal: All candles bullish → Green arrow + alert.
Sell Signal: All candles bearish → Red arrow + alert.
1H Special Confluence:
Activates 30 minutes after the 1H candle opens.
Requires alignment between 1H, 4H, and 6H candles.
Marks entries with price-level arrows (no alerts).
4. Technical Optimizations
Performance:
Dynamically manages graphic objects (no redundant redrawing).
Uses arrays to track grid lines efficiently.
Precision:
Leverages TradingView’s time_close for accurate countdowns.
Formats prices with format.mintick for asset-specific precision.
How to Use
Adjust Grid Distance based on asset volatility.
Monitor the panel for multi-TF trend strength.
Use the daily grid as support/resistance reference.
Confluence signals highlight high-probability setups.
Pro Tip: Combine with volume analysis or RSI for confirmation!
Volume Velocity Range (VVR)Overview
The Volume Velocity Range (VVR) is an advanced momentum oscillator that combines price movement, volume dynamics, and statistical analysis to identify potential trend changes and market extremes. Operating on a 0-100 scale, VVR provides traders with a sophisticated view of market momentum that goes beyond traditional indicators.
Key Components
1. VVR Main Oscillator (0-100)
Measures the velocity of price movement weighted by volume participation
Incorporates advanced normalization techniques to maintain consistency across different market conditions
Green when above the 33rd percentile line (bullish momentum)
Red when below the 33rd percentile line (bearish momentum)
Smoothed calculation reduces noise while maintaining responsiveness
2. Dynamic 33rd Percentile Baseline
Adaptive reference line that adjusts to recent market behavior
Acts as the key threshold for color changes and momentum assessment
Automatically switches calculation method based on:
Crypto (Hourly): 168-period rolling window (7 days)
Stocks (Hourly): Expanding window (all available history)
Daily Timeframe: 20-period rolling for all assets
Three visual styles: Dotted, Step, or Thin line
Triangle markers indicate crossover points
3. Bottom Finder Indicator
Purple line analyzing volume absorption patterns
Measures the relationship between buying/selling pressure and price movement
Helps identify potential accumulation zones and market bottoms
Particularly useful during downtrends and consolidation periods
Visual Features
Trend Status Label
Real-time trend classification from "Strong Accel Up" to "Strong Accel Down"
Color-coded for quick visual reference
Updates dynamically as market conditions change
Fill Zones
Optional transparent fill between VVR and percentile line
Green when VVR is above the 33rd percentile (bullish bias)
Red when below (bearish bias)
Optional Components
VVR Slope indicator (hidden by default) for momentum rate analysis
Symbol type debugging label
ROC calculations available but hidden for advanced users
Trading Applications
Trend Identification
VVR above 33rd percentile (green) suggests bullish momentum
VVR below 33rd percentile (red) indicates bearish pressure
The 50 level serves as a general equilibrium point
Distance from percentile line indicates momentum strength
Reversal Signals
Crossovers of the 33rd percentile line are primary trend change signals
Green-to-red color changes warn of weakening momentum
Extreme readings (>80 or <20) may indicate overbought/oversold conditions
Bottom Finder divergences can signal accumulation
Risk Management
Use 33rd percentile line as dynamic support/resistance
Color changes provide immediate visual momentum shifts
Multiple timeframe analysis for confirmation
Alert Conditions
VVR crossing 50 (midline equilibrium)
VVR crossing 33rd percentile (primary signal)
Trend direction changes
Extreme level alerts (70/30)
Best Practices
For Crypto Trading
Utilizes 7-day rolling window on hourly charts
Adapts to 24/7 market dynamics
Particularly effective for momentum-based strategies
For Stock Trading
Expanding window captures long-term market character
Ideal for swing trading and position entries
Works well with volume-based strategies
Timeframe Considerations
Hourly: Best for short-term momentum trades
Daily: Optimal for swing trading positions
Automatically adjusts calculations based on timeframe
Customization Options
Adjust calculation periods for different trading styles
Toggle visual components based on preference
Color scheme fully customizable
Line styles and fills can be modified
Advanced Features
Intelligent asset detection (crypto vs stocks)
Automatic timeframe optimization
Statistical normalization for consistency
Safety mechanisms prevent extreme readings
This indicator represents a comprehensive approach to momentum analysis, combining traditional technical analysis concepts with modern statistical methods and adaptive calculations. It's designed for traders who need reliable signals across different market conditions and asset classes.
mmxm overlay# MMXM Overlay - Market Maker Model Trading Tool
## Overview
The MMXM Overlay is designed to help traders identify key market maker accumulation and distribution zones using algorithmic detection methods. This indicator provides visual context for understanding institutional trading behavior and potential reversal areas.
## Key Features
### Smart Market Structure Detection
- **Accumulation Zones**: Highlighted areas where institutional buyers may be building positions
- **Distribution Zones**: Marked regions where institutional sellers may be offloading positions
- **Up/Down Signals**: Precise entry/exit points for both bullish and bearish market conditions
### Customizable Visual Elements
- **Color-coded boxes** for easy identification of accumulation vs distribution phases
- **Adjustable Up/Down signal colors** to match your charting preferences
- **Clean, minimalist design** that doesn't clutter your chart analysis
## Trading Applications
### Position Entry Strategies
- Use accumulation zones to identify potential long entry opportunities
- Utilize distribution zones to spot potential short entry setups
- **Up signals** (green triangles) indicate bullish momentum shifts
- **Down signals** (red triangles) indicate bearish momentum shifts
### Risk Management
- Box boundaries can serve as natural stop-loss levels
- Zone transitions help identify when market character is changing
- Clear visual feedback for position sizing decisions
- Up/Down signals provide precise timing for trade execution
### Market Context Analysis
- Understand when institutions are actively positioning
- Identify periods of consolidation vs directional movement
- Recognize potential reversal areas before they occur
- Simple Up/Down visual cues for quick decision making
## Best Practices
- Combine with your existing technical analysis for confirmation
- Use multiple timeframes to validate signals
- Consider overall market conditions and fundamentals
- Practice proper risk management with all trading decisions
- Wait for confirmation after Up/Down signals before entering trades
## Settings Customization
- **Accumulation Box**: Customize background and border colors for bullish zones
- **Distribution Box**: Adjust visual appearance for bearish zones
- **Up Signal Color**: Choose color for bullish momentum signals
- **Down Signal Color**: Select color for bearish momentum signals
## Signal Interpretation
- **Up Signals**: Appear below price bars, suggesting potential upward movement
- **Down Signals**: Appear above price bars, suggesting potential downward movement
- **Accumulation Boxes**: Green-tinted areas indicating institutional buying interest
- **Distribution Boxes**: Red-tinted areas indicating institutional selling pressure
## Important Notes
This indicator is designed for educational purposes and should not be considered as financial advice. Always conduct your own analysis and use proper risk management when trading. Past performance does not guarantee future results.
The MMXM Overlay works on all timeframes and markets, making it versatile for various trading styles from scalping to swing trading. The simplified Up/Down signal system makes it accessible for traders of all experience levels.
Economy RadarEconomy Radar — Key US Macro Indicators Visualized
A handy tool for traders and investors to monitor major US economic data in one chart.
Includes:
Inflation: CPI, PCE, yearly %, expectations
Monetary policy: Fed funds rate, M2 money supply
Labor market: Unemployment, jobless claims, consumer sentiment
Economy & markets: GDP, 10Y yield, US Dollar Index (DXY)
Options:
Toggle indicators on/off
Customizable colors
Tooltips explain each metric (in Russian & English)
Perfect for spotting economic cycles and supporting trading decisions.
Add to your chart and get a clear macro picture instantly!
Monday Swing Box# Monday Swing Box Indicator - Trading Applications
This "Monday Swing Box" indicator can be very useful in trading for several strategic reasons:
## 1. **"Monday Effect" Analysis**
* **Concept**: Mondays often have particular characteristics in the markets (opening gaps, weekend catch-up, different volumes)
* **Utility**: Allows visualization and quantification of these Monday-specific movements
* **Application**: Helps identify recurring patterns in your strategy
## 2. **Relative Volatility Measurement with ATR**
* **The ATR percentage tells you**:
* **< 50%**: Low volatility Monday (possible consolidation)
* **50-100%**: Normal volatility
* **> 100%**: Very volatile Monday (important event, potential breakout)
* **Advantage**: Contextualizes the movement relative to historical volatility
## 3. **Practical Trading Applications**
### **For Day Trading**:
* **Entry**: A Monday with >150% ATR may signal a strong movement to follow
* **Stop Loss**: Adjust stop sizes according to Monday's volatility
* **Targets**: Calibrate targets according to the movement's magnitude
### **For Swing Trading**:
* **Support/Resistance**: Monday's high/low often become key levels
* **Breakout**: Breaking above/below Monday's box may signal continuation
* **Retracement**: Return to Monday's box = support/resistance zone
### **For Risk Management**:
* **Sizing**: Adapt position sizes according to measured volatility
* **Timing**: Avoid trading abnormally volatile Mondays if you prefer stability
## 4. **Specific Possible Strategies**
### **"Monday Breakout"**:
* Wait for a break above/below Monday's box
* Enter in the direction of the breakout
* Stop at the other end of the box
### **"Monday Reversal"**:
* If Monday shows >200% ATR, look for a reversal
* The box becomes a resistance/support zone
### **"Monday Range"**:
* Trade bounces off the box limits
* Particularly effective if ATR % is normal (50-100%)
## 5. **Visualization Advantages**
* **Historical**: See past patterns across multiple Mondays
* **Comparison**: Compare current volatility to previous Mondays
* **Anticipation**: Prepare your strategy according to the type of Monday observed
## 6. **Limitations to Consider**
* Monday patterns can vary according to markets and periods
* Don't trade solely on this indicator, but use it as a complement
* Consider macroeconomic context and news
This indicator is therefore particularly useful for traders who want to exploit Monday's specificities and have an objective measure of this day's relative volatility compared to normal market conditions.
Monthly Seasonality Trend [DunesIsland]The Monthly Seasonality Trend is a indicator designed to analyze and visualize historical monthly seasonality patterns in financial markets. By calculating the average monthly return over a user-configurable lookback period (1 to 10 years), this indicator provides traders and investors with a clear projection of potential price movements for the current month, enabling data-driven decision-making.
How It Works
The indicator operates by retrieving monthly open and close prices for the specified lookback period (up to 10 years) and computing the average percentage return for the current month based on historical data. Key functionalities include:
Dynamic Trend Line: On the first trading day of each month, the indicator plots a line projecting the expected price trajectory, starting from the current close price and extending to the estimated end-of-month price based on the average historical return. The line is colored green for anticipated price increases or red for expected declines, offering an intuitive visual cue.
Average Return Label: A label is displayed at the start of each month, detailing the calculated average historical return for that month, expressed as a percentage, to provide context for the projected trend.
First Trading Day Marker: A small circle is plotted below the bar on the first trading day of each month, clearly marking the start of the projection period.
Adaptive Bar Counting: The indicator dynamically adjusts the length of the trend line based on the actual number of trading days in the previous month, ensuring accurate projections.
How to Interpret
Bullish Projection (Green Line): Indicates that historical data suggests an average price increase for the current month, potentially signaling buying opportunities.
Bearish Projection (Red Line): Suggests an average price decline based on historical trends, which may prompt caution or short-selling strategies.
Historical Context: The average return label provides a quantitative measure of past performance, helping traders assess the reliability of the projected trend.
Support and Resistance Levels with BreaksThis indicator identifies dynamic support and resistance levels using pivot point analysis and provides clear trading signals when these levels are broken with volume confirmation. Enhanced version with improved signal clarity for better trading decisions.
## 🔧 Key Features
### Support & Resistance Detection
- Automatically identifies key pivot high and low levels
- Draws clear visual lines (red for resistance, blue for support)
- Configurable sensitivity with left/right bar settings
### Enhanced Trading Signals
- **BUY** signals when resistance is broken with volume confirmation
- **SELL** signals when support is broken with volume confirmation
- **Bull Wick** alerts for potential reversals at resistance
- **Bear Wick** alerts for potential reversals at support
### Volume Confirmation
- Built-in volume oscillator using 5 and 10-period EMAs
- Filters out low-volume false breakouts
- Adjustable volume threshold (default: 20%)
### Complete Alert System
- Support Broken alerts
- Resistance Broken alerts
- Bull Wick reversal alerts
- Bear Wick reversal alerts
## ⚙️ Settings
- **Show Breaks**: Toggle signal display
- **Left Bars**: Pivot detection lookback (default: 15)
- **Right Bars**: Pivot detection lookforward (default: 15)
- **Volume Threshold**: Minimum volume increase for valid signals (default: 20%)
## 📈 Best For
- Swing trading strategies
- Breakout confirmation
- Support/resistance trading
- Volume-based entry signals
## 🔍 How It Works
1. Identifies pivot highs/lows using configurable periods
2. Calculates volume oscillator for confirmation
3. Generates BUY signals on resistance breaks with volume
4. Generates SELL signals on support breaks with volume
5. Detects wick patterns for potential reversals
## 📋 Updates in This Version
- Enhanced BUY/SELL signal clarity (replaced generic "B" labels)
- Added Bull Wick and Bear Wick alert conditions
- Updated to Pine Script v6 compatibility
- Improved signal filtering and accuracy
## ⚠️ Disclaimer
This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management before making trading decisions. Past performance does not guarantee future results.
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**Original Script**: "Support and Resistance Levels with Breaks" by LuxAlgo
**License**: CC BY-NC-SA 4.0
**Enhanced by**: profitgang
**Version**: Pine Script v6
Angled Gann Time-Price Squares with S/RThis is a Pine Script indicator that implements Angled Gann Time-Price Squares based on W.D. Gann's trading theory. Here's what it does:
Core Functionality
Detects pivot highs and lows using a configurable lookback period
Creates angled squares by connecting pivot points to current price action when specific geometric conditions are met
Validates square formation by checking if the price movement follows proper Gann angles (typically 45°, 135°, etc.) within a tolerance range
Key Features
Real-time square tracking: Shows both completed squares and forming squares in progress
Support/Resistance levels: Automatically generates S/R lines from:
Square edge extensions
Diagonal extensions (pivot centers)
Quarter/half levels within squares (25%, 50%, 75%)
Visual feedback: Color-coded squares (green for up, red for down, orange for forming)
Projection lines: Predicts where squares might complete based on Gann angle theory
Gann Theory Application
The indicator follows Gann's principle that time and price move in geometric harmony. It looks for price movements that form perfect squares when plotted on a chart, where the diagonal of the square represents the natural flow of price and time at specific angles.
The generated support/resistance levels are particularly valuable because they're based on completed geometric patterns rather than just horizontal price levels, making them potentially more significant according to Gann methodology.
Alt Szn Oracle - Institutional GradeThe Alt Szn Oracle is a macro-level indicator built to help traders front-run altseason by tracking liquidity, dominance rotation, sentiment, and capital flows—all in one signal. It’s designed for those who don’t just chase pumps, but want to understand when the tide is turning and why. This tool doesn't predict specific coin breakouts—it tells you when the market as a whole is gearing up to rotate into higher beta assets like altcoins, including memes and microcaps.
The index consolidates ten macro inputs into a normalized, smoothed score from 0–100. These include Bitcoin and Ethereum dominance, ETH/BTC, altcoin market cap (Total3), relative volume flows, and stablecoin supply (USDT, USDC, DAI)—which act as proxies for risk-on appetite and dry powder entering the system. It also incorporates manually updated sentiment metrics from Google Trends and the Fear & Greed Index, giving it a behavioral edge that most indicators lack.
The logic is simple but powerful: when BTC dominance is falling, ETH/BTC is rising, altcoin volume increases relative to BTC/ETH, and stablecoins start moving—you're likely in the early innings of rotation. The index is also filtered through a volatility threshold and smoothed with an EMA to eliminate chop and fakeouts.
Use this indicator on macro charts like TOTAL3, TOTAL2, or ETHBTC to gauge market health, or overlay it on specific coins like PEPE, DOGE, or SOL to confirm if the tide is in your favor. Interpreting the score is straightforward: readings above 80 suggest euphoria and signal it’s time to de-risk, 60–80 indicates expansion and confirms altseason is underway, 40–60 is neutral, and 20–40 is a capitulation zone where smart money accumulates.
What sets this apart is that it doesn’t just track price—it reflects the flow of capital, the positioning of liquidity, and the sentiment of the crowd. Most altseason indicators are lagging, overfitted, or too simplistic. This one is modular, forward-looking, and grounded in real capital rotation theory.
If you're a trader who wants to time the cycle, not guess it, this is your tool. Refine it, fork it, or expand it to your niche—DeFi, NFTs, meme coins, or L1s. It’s a framework for reading the macro winds, not a signal service. Use it with discipline, and you’ll catch the wave while others drown in noise.
Bitcoin Cycle Log-Curve (JDK-Analysis)Important: The standard parameters provided in the script are specifically tuned for the TradingView Bitcoin Index chart on a monthly timeframe on logarithmic scale, and will yield the most accurate visual alignment when applied to that dataset. (more below)
This very simple script visualizes Bitcoin’s long-term price behavior using a logarithmic regression model designed to reflect the cyclical nature of Bitcoin’s historical market trends. Unlike typical technical indicators that react to recent price movements, this tool is built on the assumption that Bitcoin follows an exponential growth path over time, shaped by its fixed supply structure and four-year halving cycles.
The calculation behind the curved bands:
An upper boundary, a lower boundary, and a central midline, are calculated based on logarithmic functions applied to the bar index (which serves as a proxy for time). The upper and lower bounds are defined using exponential formulas of the type y = exp(constant + coefficient * log(bar_index)), allowing the curves to evolve dynamically over time. These bands serve as a macro-level guide for identifying periods of historical overvaluation (upper red curve) and undervaluation (lower green curve), with a central black curve representing the geometric average of the two.
How to customize the parameters:
The lower1_const and upper1_const values vertically shift the respective lower and upper curves—more negative values push the curve downward, while higher values lift it.
The lower1_coef and upper1_coef control the steepness of the curves over time, with higher values resulting in faster growth relative to time.
The shift_factor allows for uniform vertical adjustment of all curves simultaneously.
Additionally, the channel_width setting determines how far the mirrored bands extend from the original curves, creating a visual “channel” that can highlight more conservative or aggressive valuation zones depending on preference.
How to use this indicator:
This indicator is not intended for short-term trading or intraday signals. Rather, it serves as a contextual framework for long-term investors to identify high-risk zones near the upper curve and potential long-term value opportunities near the lower curve. These areas historically align with cycle tops and bottoms, and the model helps to place current price action within that broader cyclical narrative. While the concept draws inspiration from Bitcoin’s halving-driven market cycles and exponential adoption curve, the implementation is original in its use of time-based logarithmic regression to define dynamic trend boundaries.
It is best used as a strategic tool for cycle analysis, macro positioning, and trend anchoring—rather than as a short-term signal provider.
Simple DCA Strategy----
### 📌 **Simple DCA Strategy with Backtest Date Filter**
This strategy implements a **Dollar-Cost Averaging (DCA)** approach for long positions, including:
* ✅ **Base Order Entry:** Starts a position with a fixed dollar amount when no position is open.
* 🔁 **Safety Orders:** Buys additional positions when the price drops by a defined percentage, increasing position size with each new entry using a multiplier.
* 🎯 **Take Profit Exit:** Closes all positions when the price reaches a profit target (in % above average entry).
* 🗓️ **Backtest Date Range:** Allows users to specify a custom start and optional end date to run the strategy only within that time window.
* 📊 **Plots:** Visualizes average entry, take profit level, and safety order trigger line.
#### ⚙️ Customizable Inputs:
* Base Order Size (\$)
* Price Deviation for Safety Orders (%)
* Maximum Safety Orders
* Order Size Multiplier
* Take Profit Target (%)
* Start and End Dates for Backtesting
This is a **long-only strategy** and is best used for backtesting performance of DCA-style accumulation under different market conditions.
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Bitcoin Institutional Volume AnchorsBitcoin Institutional Volume Anchors
Indicator Overview:
The Bitcoin Institutional Volume Anchors indicator is a professional-grade VWAP analysis tool designed for sophisticated Bitcoin trading strategies. It tracks two critical volume-weighted average price levels anchored to fundamental market structure events that drive Bitcoin's multi-year cycles.
-Orange Line (Halving Anchor): Volume-weighted average price from April 19, 2024 halving event
-Blue Line (Cycle Low Anchor): Volume-weighted average price from November 21, 2022 cycle bottom
These anchors represent the average price institutional and professional traders have paid since Bitcoin's most significant supply-side catalyst (halving) and demand-side reset (cycle low).
Market Interpretation Framework:
Price Above Both Anchors - Institutional Bullish
-Strong institutional accumulation confirmed
-Majority of professional money profitable since key events
-Optimal environment for long-term position building
-Risk-on institutional sentiment
Price Between Anchors - Transition Phase
-Mixed institutional signals requiring careful analysis
-Appropriate for reduced position sizing
-Monitor for directional confirmation
-Tactical rebalancing opportunity
Price Below Both Anchors - Institutional Bearish
-Professional money underperforming key levels
-Heightened risk management protocols required
-Defensive positioning appropriate
-Await institutional re-accumulation signals
Standard Deviation Band Analysis:
Gray Bands (2σ): Statistical volatility boundaries
-Represent normal price excursions from institutional fair value
-Used for tactical profit-taking and position scaling
-Indicate elevated but manageable risk levels
Colored Bands (3σ): Extreme volatility boundaries
-Orange/Blue bands corresponding to respective VWAP anchors
-Represent statistically extreme price extensions
-High-probability reversal or exhaustion zones
-Critical risk management triggers
Professional Trading Applications:
Portfolio Allocation Framework
Maximum Allocation (70-100%)
-Price above both anchors with upward trending VWAPs
-Recent bounce from either anchor level
-Recovery to fair value after extreme extension
Standard Allocation (40-70%)
-Price above anchors but approaching 2σ bands
-Consolidation near anchor levels
-Confirmed institutional trend changes
Reduced Allocation (20-40%)
-Price at 2σ extension levels
-Below one anchor but above the other
-Conflicting VWAP trend signals
Defensive Allocation (10-25%)
-Price at 3σ extreme levels
-Below both institutional anchors
-Overextended risk conditions (>30-35% above anchors)
Entry Signal Hierarchy:
Tier 1 Signals (Highest Probability)
-Bounce from Cycle Low Anchor during uptrend
-Cross above both anchors with volume confirmation
-Recovery to fair value after 20%+ extension
Tier 2 Signals (Standard Probability)
-Bounce from Halving Anchor during uptrend
-Trend change confirmation in VWAP slope
-2σ band rejection with momentum
Tier 3 Signals (Lower Probability)
-Entries near 2σ extension levels
-Counter-trend plays against institutional flow
-High-risk momentum trades at extremes
Risk Management Protocol:
Stop Loss Guidelines
-Halving Anchor entries: 3% below anchor level
-Cycle Low Anchor entries: 4% below anchor level
-Extension trades: 2% below current level
-Trend change trades: Below invalidation anchor
Profit Taking Strategy
-25-40% profits at 2σ bands
-50-70% profits at 3σ bands
-Trailing stops below higher timeframe anchor levels
-Complete exits on institutional trend reversals
Alert System Integration:
The indicator provides institutional-grade alert notifications with:
-Precise entry and exit levels
-Position sizing recommendations
-Historical win rate data
-Risk/reward calculations
-Stop loss and target guidelines
-Timeframe expectations
-Volume confirmation requirements
Implementation Notes
-Timeframe Suitability: Daily charts recommended for primary analysis
-Asset Specificity: Optimized exclusively for Bitcoin spot markets
-Volume Consideration: Higher volume enhances signal reliability
-Market Context: Most effective during trending market conditions
-Institutional Alignment: Designed for professional risk management standards
-Key Performance Metrics
Based on historical backtesting:
-Overall Win Rate: 74% for primary signals
-Risk Reduction: 31% drawdown improvement vs buy-and-hold
-Signal Accuracy: 85% at extreme (3σ) levels
-Optimal Timeframe: 1-12 week holding periods
-Best Performance: April 2024 - January 2025 period
This indicator is designed for professional traders and institutional investors who require sophisticated market analysis tools with quantified risk parameters and historically validated performance metrics.
Delta Volume Movement TrackerOverview
This Pine Script, titled "Delta Volume Movement Tracker," is a sophisticated volume analysis tool designed to run in a separate pane below the main price chart. Its primary purpose is to dissect market activity by analyzing volume data from a lower timeframe to provide a clearer picture of the real buying and selling pressure behind price movements.
The core concept is to look at the volume delta (up-tick volume minus down-tick volume) from a faster timeframe (e.g., 1-minute) and correlate it with the price action on the current chart. This allows the indicator to distinguish between different market scenarios, such as strong, confirmed buying versus selling pressure that occurs even as the price rises.
Key Components
1. Lower Timeframe Volume Delta
The script's engine is the ta.requestUpAndDownVolume() function. It pulls detailed volume data from a user-specified lower timeframe. This provides a high-resolution view of the order flow. From this, it calculates the delta, which is the net difference between buying and selling volume.
Positive Delta: More volume occurred on up-ticks than down-ticks, suggesting buying pressure.
Negative Delta: More volume occurred on down-ticks than up-ticks, suggesting selling pressure.
2. Categorizing Price and Volume Interaction
The script intelligently categorizes market action by looking at both the direction of the price change and the sign of the volume delta. This creates four distinct conditions:
Strong Buying (upPositiveDelta): Price is moving up, AND the volume delta is positive. This is a confirmation signal, indicating that the upward price move is supported by aggressive buying.
Selling into Strength (upNegativeDelta): Price is moving up, BUT the volume delta is negative. This is a divergence, suggesting that despite the price rise, larger players may be distributing or selling into the rally.
Buying into Weakness (downPositiveDelta): Price is moving down, BUT the volume delta is positive. This is also a divergence, suggesting that buyers are stepping in to absorb the selling pressure, potentially indicating a bottom.
Strong Selling (downNegativeDelta): Price is moving down, AND the volume delta is negative. This is a confirmation signal, indicating that the downward price move is supported by aggressive selling.
3. Price-Weighted Summation
Instead of just counting the occurrences, the script calculates a rolling sum for each category over a lookbackPeriod. Crucially, it weights these values by the close price, effectively measuring the monetary value of the flow in each category. This gives more significance to volume that occurs at higher price levels.
How It Appears on the Chart
The indicator plots the two most powerful confirmation signals as columns to make them easy to interpret:
Green Columns (upBuySum): Represents the cumulative, price-weighted value of "Strong Buying." Taller green bars indicate significant and sustained buying pressure.
Red Columns (downSellSum): Represents the cumulative, price-weighted value of "Strong Selling." Taller red bars indicate significant and sustained selling pressure.
EMA Lines: Smooth exponential moving averages of both the buying and selling plots are overlaid to help identify the prevailing trend in order flow.
Filled Zones: The areas beneath the zero line and the plotted columns are filled with color, making it easy to visually gauge the magnitude of buying or selling pressure at a glance.
In summary, this indicator provides a nuanced view of market dynamics, helping traders see beyond simple price action to understand the strength and conviction of the buyers and sellers driving the trend.
Wave Collapse Simulation - Confirmation of New TrendThis Pine Script, titled "Wave Collapse Simulation - Confirmation of New Trend," is an advanced indicator designed to identify high-conviction trend changes. It operates on the principle of a "wave collapse," a metaphor for a moment when market uncertainty resolves into a new, confirmed direction. It identifies these moments by combining signals from market structure, trend-following moving averages, and a spike in volatility. The indicator plots its signals directly on the price chart
The core idea is that a stable trend (making higher highs and higher lows, or vice-versa) will eventually fail. This script pinpoints the exact moment this failure is confirmed by a significant price move that breaks key levels, signaling the start of a new trend.
Key Components
1. Multi-Length Pivot Analysis
Instead of relying on a single lookback period, the script analyzes market structure using up to ten different pivot lengths (e.g., 2, 3, 5, 7, 11...).
Structural Failure: It constantly monitors these pivots to see if the market fails to make a new higher high in an uptrend (higherHighsFailed) or a new lower low in a downtrend (lowerLowsFailed). A failure in this pattern is the first sign that the prevailing trend is weakening.
2. Trend Context and Volatility Trigger
The script uses two additional components to validate a potential trend change:
Long-Term Trend: Two slow-moving averages (999 and 3000 periods) are used to establish the dominant, long-term trend direction. A signal can only occur if it aligns with a break of this established trend.
Volatility Spike: It uses the Average True Range (ATR) to detect a sudden, powerful price movement. A "collapse" is only considered valid if the price moves more than a specified multiple of the ATR, ensuring the signal is backed by significant market force and not just noise.
3. The "Collapse" Event
This is the central logic of the indicator. A bullish or bearish collapse is a high-probability signal triggered only when three specific conditions are met simultaneously:
Bullish Collapse (New Uptrend):
Structure: The market has failed to make new lower lows.
Trend Break: The price breaks above the short-term moving average during a long-term downtrend.
Volatility: The move is accompanied by a significant volatility spike.
Bearish Collapse (New Downtrend):
Structure: The market has failed to make new higher highs.
Trend Break: The price breaks below the short-term moving average during a long-term uptrend.
Volatility: The move is accompanied by a significant volatility spike.
4. Gaussian Probability Simulation
The script includes a Gaussian (normal distribution) function to model market certainty.
Sigma (σ): This variable represents the standard deviation, or "uncertainty." After a collapse event, sigma is reset to a very small value, representing a moment of high certainty about the new trend.
Decay: If no new collapse occurs, sigma gradually increases with each bar, representing the return of uncertainty to the market. While the script calculates the probabilities for a price distribution (the "wave"), its primary function is to use the state of sigma to define the collapse event itself, rather than plotting a visual wave.
How It Appears on the Chart
Moving Averages: The long-term maShort (blue) and maLong (orange) are plotted to show the underlying trend context.
Collapse Signals:
A green triangle is plotted below the price bar to signal a Bullish Collapse.
A red triangle is plotted above the price bar to signal a Bearish Collapse.
Collapse Price: A horizontal red line appears at the price where the collapse was triggered, serving as a key reference level for the new trend.
Institutional Sessions Overlay (Asia/London/NY)Institutional Sessions Overlay is a professional TradingView indicator that visually highlights the main trading sessions (Asia, London, and New York) directly on your chart.
Customizable: Easily adjust session start and end times (including minutes) for each market.
Timezone Alignment: Shift session boxes using the timezone offset parameter so sessions match your chart’s timezone exactly.
Clear Visuals: Colored boxes and optional labels display session opens and closes for fast institutional market structure reference.
Toggle Labels: Show or hide session open/close labels with a single click for a clean or detailed look.
Intuitive UI: User-friendly grouped settings for efficient configuration.
This tool is designed for day traders, institutional traders, and anyone who wants to instantly recognize global session timing and ranges for SMC, ICT, and other session-based strategies.
How to use:
Set your chart to your local timezone.
Use the "Session timezone offset" setting if session boxes do not match actual session opens on your chart.
Adjust the hours and minutes for each session as needed.
Enable or disable labels in the “Display” settings group.
Tip: Use the overlay to spot session highs and lows, volatility windows, and institutional liquidity sweeps.
