ATR Screener with Labels and ShapesWeekly Daily ATR Pine Scanner
To find out tightness or contraction in a stock we needs to check if volatality is decreasing as well as compared to previous 14 or 10 bars volatility . we check this for weekly and then for Daily , so that we can enter in a stock which is tightest in recent times.
Condition is :
1. Weekly Candle ATR x 0.8 < 10 Week ATR
2. Daily Candle ATR x 0.6 < 14 Day ATR
When both of the conditions are met then they signifies that the stock has tightened in weekly and daily aswell . so now we can find ways to enter during max squeeze.
How to scan in Pine Scanner ?
FIrst add indicator as favourite and Go to pine scanner page in trading view and then scan your watchlist and there you will see 3 columns 1 with only Weekly conditions met , 2 with only Daily and 3rd with Both conditions met .
Select stocks and move to new watchlist and now you have those stocks which has contracted the most in recent times .
Search in scripts for "daily"
Advanced Volume Profile Levels (Working)This indicator is a powerful tool for traders who use volume profile analysis to identify significant price levels. It automatically calculates and plots the three most critical levels derived from volume data—the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)—for three different timeframes simultaneously: the previous week, the previous day, and the current, live session.
The primary focus of this indicator is unmatched readability. It features dynamic, floating labels that stay clear of price action, combined with a high-contrast design to ensure you can see these crucial levels at a glance without any visual clutter.
Key Features
Multi-Session Analysis: Gain a complete market perspective by viewing levels from different timeframes on a single chart.
Weekly Levels: Identify the long-term areas of value and control from the prior week's trading activity.
Daily Levels: Pinpoint the most significant levels from the previous day's Regular Trading Hours (9:30 AM - 4:00 PM ET).
Current Session Levels: Track the developing value area and POC in real-time with a dynamic profile that updates with every bar.
Advanced Visuals for Clarity:
Floating Labels: The labels for the weekly and daily levels intelligently "float" on the right side of your chart, moving with the price to ensure they are never obscured by candles.
High-Contrast Design: Labels are designed for maximum readability with solid, opaque backgrounds and an automatic text color (black or white) that provides the best contrast against your chosen level color.
Trailing Current Levels: The labels for the current session neatly trail the most recent price action, providing an intuitive view of intra-day developments.
Comprehensive Customization: Tailor the indicator's appearance to your exact preferences.
Toggle each profile (Weekly, Daily, Current) on or off.
Individually set the color, line style (solid, dashed, dotted), and line width for each set of levels.
Adjust the text size, background transparency, and horizontal offset for all on-chart labels.
Information Hub:
On-Chart Price Labels: Each label clearly displays both the level name and its precise price (e.g., "D-POC: 22068.50").
Corner Table: An optional, clean table in the top-right corner provides a quick summary of all active weekly and daily level values.
Built-in Alerts:
Create alerts directly from the script to be notified whenever the price crosses above or below the weekly or daily Point of Control, helping you stay on top of key market movements.
How to Use
The levels provided by this indicator serve as powerful reference points for market activity:
Point of Control (POC): The price level with the highest traded volume. It acts as a magnet for price and represents the area of "fair value" for that session. Markets often test or revert to the POC.
Value Area High (VAH) & Value Area Low (VAL): These levels define the range where approximately 70% of the session's volume occurred. They are critical support and resistance zones.
Price acceptance above the VAH may signal a bullish breakout.
Price acceptance below the VAL may signal a bearish breakdown.
Rejection at the VAH or VAL often leads to price moving back across the value area towards the POC.
Mariam Smart FlipPurpose
This tool identifies high-probability intraday reversals by detecting when price flips through the daily open after strong early-session commitment.
How It Works
A valid flip occurs when:
The previous daily candle is bullish or bearish
The first hour today continues in the same direction
Then, the price flips back through the daily open with a minimum break threshold (user-defined)
This setup is designed to catch liquidity grabs or fakeouts near the daily open, where early buyers or sellers get trapped after showing commitment
Signal Logic
Buy Flip
Previous day bearish → first hour bearish → price flips above open
Sell Flip
Previous day bullish → first hour bullish → price flips below open
Features
Configurable flip threshold in percentage
Signals only activate after the first hour ends
Daily open line displayed on chart
Simple triangle markers with no visual clutter
Alerts ready to use for automation or notifications
Usage Tips
Use "Once Per Bar" alert mode to get notified immediately when the flip happens
Works best in active markets like FX, indices, or crypto
Adjust threshold based on asset volatility
Suggested stop loss: use the previous daily high for sell flips or the previous daily low for buy flips
Suggested take profit: secure at least 30 pips to aim for a 1:3 risk-to-reward ratio on average
CDP - Counter-Directional-Pivot🎯 CDP - Counter-Directional-Pivot
📊 Overview
The Counter-Directional-Pivot (CDP) indicator calculates five critical price levels based on the previous day's OHLC data, specifically designed for multi-timeframe analysis. Unlike standard pivot points, CDP levels are calculated using a unique formula that identifies potential reversal zones where price action often changes direction.
⚡ What Makes This Script Original
This implementation solves several technical challenges that existing pivot indicators face:
🔄 Multi-Timeframe Consistency: Values remain identical across all timeframes (1m, 5m, 1h, daily) - a common problem with many pivot implementations
🔒 Intraday Stability: Uses advanced value-locking technology to prevent the "stepping" effect that occurs when pivot lines shift during the trading session
💪 Robust Data Handling: Optimized for both liquid and illiquid stocks with enhanced data synchronization
🧮 CDP Calculation Formula
The indicator calculates five key levels using the previous day's High (H), Low (L), and Close (C):
CDP = (H + L + C) ÷ 3 (Central Decision Point)
AH = 2×CDP + H – 2×L (Anchor High - Strong Resistance)
NH = 2×CDP – L (Near High - Moderate Resistance)
AL = 2×CDP – 2×H + L (Anchor Low - Strong Support)
NL = 2×CDP – H (Near Low - Moderate Support)
✨ Key Features
🎨 Visual Elements
📈 Five Distinct Price Levels: Each with customizable colors and line styles
🏷️ Smart Label System: Shows exact price values for each level
📋 Optional Value Table: Displays all levels in an organized table format
🎯 Clean Chart Display: Minimal visual clutter while maximizing information
⚙️ Technical Advantages
🔐 Session-Locked Values: Prices are locked at market open, preventing intraday shifts
🔄 Multi-Timeframe Sync: Perfect consistency between daily and intraday charts
✅ Data Validation: Built-in checks ensure reliable calculations
🚀 Performance Optimized: Efficient code structure for fast loading
💼 Trading Applications
🔄 Reversal Zones: AH and AL often act as strong turning points
💥 Breakout Confirmation: Price movement beyond these levels signals trend continuation
🛡️ Risk Management: Use levels for stop-loss and take-profit placement
🏗️ Market Structure: Understand daily ranges and potential price targets
📚 How to Use
🚀 Basic Setup
Add the indicator to your chart (works on any timeframe)
Customize colors for easy identification of support/resistance zones
Enable the value table for quick reference of exact price levels
📈 Trading Strategy Examples
🟢 Long Bias: Look for bounces at NL or AL levels
🔴 Short Bias: Watch for rejections at NH or AH levels
💥 Breakout Trading: Enter positions when price decisively breaks through anchor levels
↔️ Range Trading: Use CDP as the central reference point for range-bound markets
🎯 Advanced Strategy Combinations
RSI Integration for Enhanced Signals: 📊
📉 Oversold Bounces: Combine RSI below 30 with price touching AL/NL levels for high-probability long entries
📈 Overbought Rejections: Look for RSI above 70 with price rejecting AH/NH levels for short opportunities
🔍 Divergence Confirmation: When RSI shows bullish divergence at support levels (AL/NL) or bearish divergence at resistance levels (AH/NH), it often signals stronger reversal potential
⚡ Momentum Confluence: RSI crossing 50 while price breaks through CDP can confirm trend direction changes
⚙️ Configuration Options
🎨 Line Customization: Adjust width, style (solid/dashed/dotted), and colors
👁️ Display Preferences: Toggle individual levels, labels, and value table
📍 Table Position: Place the value table anywhere on your chart
🔔 Alert System: Get notifications when price crosses key levels
🔧 Technical Implementation Details
🎯 Data Reliability
The script uses request.security() with lookahead settings to ensure historical accuracy while maintaining real-time functionality. The value-locking mechanism prevents the common issue where pivot levels shift during the trading day.
🔄 Multi-Timeframe Logic
⏰ Intraday Charts: Display previous day's calculated levels as stable horizontal lines
📅 Daily Charts: Show current day's levels based on yesterday's OHLC
🔍 Consistency Check: All timeframes reference the same source data
🤔 Why CDP vs Standard Pivots?
Counter-Directional Pivots often provide more accurate reversal points than traditional pivot calculations because they incorporate the relationship between high/low ranges and closing prices more effectively. The formula creates levels that better reflect market psychology and institutional trading behaviors.
💡 Best Practices
💧 Use on liquid markets for most reliable results
📊 RSI Combination: Add RSI indicator for overbought/oversold confirmation and divergence analysis
📊 Combine with volume analysis for confirmation
🔍 Consider multiple timeframe analysis (daily levels on hourly charts)
📝 Test thoroughly in paper trading before live implementation
💪 Example Market Applications
NASDAQ:AAPL AAPL - Tech stock breakouts through AH levels
$NYSE:SPY SPY - Index trading with CDP range analysis
NASDAQ:TSLA TSLA - Volatile stock reversals at AL/NL levels
⚠️ This indicator is designed for educational and analytical purposes. Always combine with proper risk management and additional technical analysis tools.
Toolbar-FrenToolbar-Fren is a comprehensive, data-rich toolbar designed to present a wide array of key metrics in a compact and intuitive format. The core philosophy of this indicator is to maximize the amount of relevant, actionable data available to the trader while occupying minimal chart space. It leverages a dynamic color-coded system to provide at-a-glance insights into market conditions, instantly highlighting positive/negative values, trend strength, and proximity to important technical levels.
Features and Data Displayed
The toolbar displays a vertical column of critical data points, primarily calculated on the Daily timeframe to give a broader market context. Each cell is color-coded for quick interpretation.
DAY:
The percentage change of the current price compared to the previous day's close. The cell is colored green for a positive change and red for a negative one.
LOD:
The current price's percentage distance from the Low of the Day.
HOD
The current price's percentage distance from the High of the Day.
MA Distances (9/21 or 10/20, 50, 200)
These cells show how far the current price is from key Daily moving averages (MAs).
The values are displayed either as a percentage distance or as a multiple of the Average Daily Range (ADR), which can be toggled in the settings.
The cells are colored green if the price is above the corresponding MA (bullish) and red if it is below (bearish).
ADR
Shows the 14-period Average Daily Range as a percentage of the current price. The cell background uses a smooth gradient from green (low volatility) to red (high volatility) to visualize the current daily range expansion.
ADR%/50: A unique metric showing the distance from the Daily 50 SMA, measured in multiples of the 14-period Average True Range (ATR). This helps quantify how extended the price is from its mean. The cell is color-coded from green (close to the mean) to red (highly extended).
RSI
The standard 14-period Relative Strength Index calculated on the Daily timeframe. The background color changes to indicate potentially overbought (orange/red) or oversold (green) conditions.
ADX
The 14-period Average Directional Index (ADX) from the Daily timeframe, which measures trend strength. The cell is colored to reflect the strength of the trend (e.g., green for a strong trend, red for a weak/non-trending market). An arrow (▲/▼) is also displayed to indicate if the ADX value is sloping up or down.
User Customization
The indicator offers several options for personalization to fit your trading style and visual preferences:
MA Type
Choose between using Exponential Moving Averages (EMA 9/21) or Simple Moving Averages (SMA 10/20) for the primary MA calculations.
MA Distance Display
Toggle the display of moving average distances between standard percentage values and multiples of the Average Daily Range (ADR).
Display Settings
Fully customize the on-chart appearance by selecting the table's position (e.g., Top Right, Bottom Left) and the text size. An option for a larger top margin is also available.
Colors
Personalize the core Green, Yellow, Orange, and Red colors used throughout the indicator to match your chart's theme.
Technical Parameters
Fine-tune the length settings for the ADX and DI calculations.
ALEX - ATR Extensions + ADR + TableALEX - ATR Extensions + ADR + Table
Overview
The ALEX ATR Extensions indicator is a comprehensive volatility and momentum analysis tool that combines Average True Range (ATR), Average Daily Range (ADR), and moving average distance calculations in a single, customizable display. This indicator helps traders assess current price action relative to historical volatility and key moving averages, providing crucial context for risk management and trade planning.
Key Features
Multi-Metric Analysis
- ATR Percentage: Current ATR as a percentage of price for volatility assessment
- ADR Percentage: Average Daily Range as a percentage for typical daily movement
- Low of Day Distance: Distance from current price to daily low
- Moving Average Distance: ATR-normalized distance from 21 and 50 period moving averages
Flexible Moving Average Options
- Configurable MA Types: Choose between EMA or SMA for both 21 and 50 period averages
- Customizable Periods: Adjust moving average lengths to suit your trading style
- Daily Timeframe Data: Uses daily moving averages regardless of chart timeframe
ATR Extension Levels
- Dynamic Price Targets: Calculate extension levels based on ATR multiples from moving averages
- Visual Reference Lines: Optional overlay lines showing ATR extension targets
- Customizable Multipliers: Adjust ATR multipliers for different risk/reward scenarios
Smart Visual Alerts
- Color-Coded Distance Metrics: Automatic color changes based on distance thresholds
- Symbol Plotting: Customizable chart symbols when distance thresholds are exceeded
- Threshold-Based Alerts: Visual cues when price reaches significant ATR distances
Comprehensive Data Table
- Real-Time Metrics: Live updating table with all key measurements
- Customizable Display: Toggle individual metrics on/off based on preference
- Professional Styling: Adjustable colors, fonts, and transparency
How to Use
Volatility Assessment
- High ATR%: Indicates elevated volatility, larger position sizing considerations
- Low ATR%: Suggests compressed volatility, potential for expansion
- ADR% Comparison: Compare current day's range to historical average
Moving Average Analysis
- ATR Distance 21/50: Normalized distance showing how extended price is from key levels
- Positive Values: Price above moving average (bullish positioning)
- Negative Values: Price below moving average (bearish positioning)
- Color Changes: Automatic alerts when reaching threshold levels
Extension Target Planning
- ATR Extension Lines: Visual price targets based on volatility-adjusted projections
- Risk/Reward Planning: Use extension levels for profit target placement
- Breakout Confirmation: Extension levels can confirm breakout validity
Symbol Alert System
- Chart Symbols: Automatic plotting when distance thresholds are breached
- Customizable Triggers: Set your own threshold levels for alerts
- Visual Scanning: Quick identification of extended conditions across multiple charts
Settings
Display Controls
- Show ADR%: Toggle average daily range percentage display
- Show ATR%: Toggle average true range percentage display
- Show LoD Distance: Toggle low of day distance calculation
- Show LoD Price: Toggle actual low of day price display
- Show ATR Distance from 21/50 DMA: Toggle moving average distance metrics
- Show 21/50 DMA Price: Toggle actual moving average price display
- Show ATR Extension Levels: Toggle extension target display in table
Moving Average Configuration
- 21/50 DMA Type: Choose between EMA or SMA calculation methods
- 21/50 DMA Period: Customize moving average lengths
- ADR/ATR Length: Adjust calculation periods for range measurements
Color Thresholds
- Threshold Levels: Set distance levels for color changes (default 2.0 and 5.0)
- Custom Colors: Choose colors for different threshold breaches
- Separate 21/50 Settings: Independent color schemes for each moving average
Symbol Settings
- Show Char Symbol: Toggle symbol plotting for each moving average
- Custom Symbols: Choose any character for chart plotting
- Symbol Colors: Customize colors for visual distinction
- Threshold Levels: Set trigger points for symbol appearance
ATR Extension Lines
- Show Extension Lines: Toggle visual extension level lines
- ATR Multipliers: Customize extension distance (default 2.0x)
- Line Colors: Choose colors for extension level visualization
Table Customization
- Background Color: Adjust table transparency and color
- Text Color: Customize default text appearance
- Font Size: Choose from tiny to huge font options
Advanced Applications
Trend Strength Analysis
- Large ATR distances suggest strong trending moves
- Small ATR distances indicate potential consolidation or reversal zones
- Compare current readings to recent historical ranges
Risk Management
- Use ATR% for position sizing calculations
- Extension levels provide natural profit target zones
- Distance metrics help identify overextended conditions
Multi-Timeframe Context
- Apply to different timeframes for comprehensive analysis
- Daily data provides consistency across all chart intervals
- Combine with weekly/monthly analysis for broader context
Market Regime Identification
- High volatility periods: Increased ATR% readings
- Low volatility periods: Compressed ATR% readings
- Trending markets: Sustained high distance readings
- Consolidating markets: Low distance readings with frequent color changes
Best Practices
Volatility-Adjusted Trading
- Increase position sizes during low volatility periods
- Reduce position sizes during high volatility periods
- Use ATR% for stop-loss placement relative to normal market movement
Extension Level Usage
- Primary targets: 1.5-2.0x ATR extensions
- Secondary targets: 2.5-3.0x ATR extensions
- Avoid chasing prices beyond 3x ATR extensions
Threshold Optimization
- Backtest different threshold levels for your trading style
- Consider market conditions when setting alert levels
- Adjust thresholds based on instrument volatility characteristics
Integration Strategies
- Combine with momentum indicators for confirmation
- Use alongside support/resistance levels
- Incorporate into systematic trading approaches
Technical Specifications
- Compatible with Pine Script v6
- Uses daily timeframe data for consistency
- Optimized for real-time performance
- Works on all chart types and timeframes
- Supports all tradeable instruments
Ideal For
- Swing traders using daily charts
- Position traders seeking volatility context
- Day traders needing intraday reference levels
- Risk managers requiring volatility metrics
- Systematic traders building rule-based strategies
Disclaimer
This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis, proper risk management techniques, and consider your individual trading plan and risk tolerance. Past performance does not guarantee future results.
Compatible with Pine Script v6 | Optimized for daily timeframe analysis | Works across all markets and instruments
Multi-Timeframe 20 EMA Horizontal LinesOverview
This Multi-Timeframe 20 EMA indicator provides intelligent trend analysis by displaying your current timeframe EMA alongside relevant higher timeframe EMA levels as horizontal support/resistance lines. On lower timeframes, you see all higher EMA levels for comprehensive multi-timeframe confluence, while on higher timeframes, it filters out lower timeframe noise to maintain focus on macro trends. This allows traders to align short-term entries with long-term market structure, identifying high-probability setups where multiple timeframe EMAs converge while using the current timeframe EMA for precise timing.
Feature
Multi-Timeframe Horizontal EMA Lines
The indicator fetches and displays 20 EMAs from five higher timeframes:
Daily (D): Daily 20 EMA
Weekly (W): Weekly 20 EMA
Monthly (M): Monthly 20 EMA
Quarterly (Q): 3-Month 20 EMA
Half-Yearly (HY): 6-Month 20 EMA
Intelligent Timeframe Filtering
Smart Display Logic: Only shows EMAs from timeframes higher than your current chart timeframe
Prevents Redundancy: Automatically filters out lower timeframe EMAs to avoid clutter
Example: On a 4-hour chart, you'll see Daily, Weekly, Monthly, Quarterly, and Half-Yearly EMAs, but on a Weekly chart, you'll only see Weekly and higher timeframes
Half-Yearly (HY): 6-Month 20 EMA
Shows only current timeframe EMA with half-yearly horizontal line, filtering out all lower timeframes.
Quarterly (Q): 3-Month 20 EMA
Displays current timeframe EMA with quarterly and higher horizontal lines, hiding monthly, weekly, and daily EMAs.
Monthly (M): Monthly 20 EMA
Shows current timeframe EMA with monthly and higher horizontal EMAs, excluding weekly and daily timeframes.
Weekly (W): Weekly 20 EMA
Displays current timeframe EMA with weekly and higher horizontal EMA lines, filtering out daily timeframe.
Daily (D):
Shows current timeframe EMA with all higher timeframe horizontal EMAs (daily, weekly, monthly, quarterly, half-yearly).
Note: Make sure to enable Price-Line in Style Settings after Importing Script.
DWMY Opens (for aggr. charts) by Koenigsegg🟣 DWMY Opens (for Aggregated Charts) by Koenigsegg
Revolutionary compatibility with aggregated charts – This indicator represents a significant breakthrough in displaying Daily, Weekly, Monthly, and Yearly opening levels on aggregated chart types where traditional DWMY indicators have historically failed to function properly.
Complete aggregated chart support – Unlike previous Daily Weekly Monthly Yearly Opens indicators that experienced severe limitations when pulling data from non-standard chart types, this version is specifically engineered to work flawlessly with aggregated charts, range bars, Renko charts, Point & Figure charts, and all other non-time-based chart constructions.
Persistent horizontal reference lines – The indicator draws four distinct horizontal lines representing the opening prices of the current Daily, Weekly, Monthly, and Yearly periods, extending these levels forward into future bars to provide clear reference points for key support and resistance analysis.
Advanced customization capabilities – Features comprehensive user controls including custom label naming for each timeframe, adjustable line colors with independent color selection for Daily, Weekly, Monthly, and Yearly levels, configurable line width settings, and variable label font sizes ranging from tiny to huge.
Dynamic label positioning system – Implements a sophisticated label placement mechanism with configurable tick offset positioning and fixed end-bars-ahead projection, ensuring labels remain visible and properly positioned regardless of chart zoom level or timeframe.
Intelligent period detection logic – Utilizes advanced Pine Script time change detection algorithms specifically optimized for aggregated charts, accurately identifying new Daily, Weekly, Monthly, and Yearly periods even when traditional time-based functions fail on non-standard chart types.
Performance-optimized architecture – Built with efficient persistent variable storage using the var keyword, minimizing computational overhead while maintaining real-time updates across all timeframe levels simultaneously.
Professional visual presentation – Delivers clean, uncluttered chart visualization with strategically positioned labels that clearly identify each timeframe level without interfering with price action analysis.
Universal market compatibility – Functions seamlessly across all asset classes including stocks, forex, cryptocurrencies, commodities, and indices, adapting automatically to different tick sizes and price scales through syminfo.mintick integration.
Pine Script v6 foundation – Leverages the latest Pine Script version 6 capabilities, ensuring optimal performance, stability, and compatibility with current and future TradingView platform updates.
This indicator solves a critical limitation that has long plagued traders using aggregated chart types, finally enabling reliable access to essential Daily, Weekly, Monthly, and Yearly opening levels that serve as fundamental support and resistance zones in technical analysis. The breakthrough lies in its ability to maintain accurate period detection and level plotting regardless of the underlying chart construction methodology.
🟣 How It Works
Automatic period detection – The indicator continuously monitors for time changes across four distinct timeframes using ta.change(time()) functions for Daily and Weekly periods, month transitions for Monthly levels, and year changes for Yearly opens, ensuring precise identification of new period beginnings.
Real-time level updates – When a new period is detected, the indicator captures the opening price at that exact moment and immediately establishes a horizontal line from that bar extending forward to a configurable number of bars ahead, creating persistent reference levels.
Dynamic line management – Each timeframe maintains its own dedicated line object and label, with the indicator continuously updating the endpoint coordinates and label positions as new bars form, ensuring the levels always project the specified distance into the future.
Intelligent label placement – Labels are positioned at the end of each line with automatic vertical offset based on the symbol’s minimum tick size, preventing overlap with price action while maintaining clear identification of each timeframe level.
🟣 Pro Tips for Optimal Usage
Multi-timeframe confluence – Look for areas where multiple DWMY levels converge within close proximity, as these zones typically act as stronger support or resistance levels due to increased market participant attention at these psychological price points.
Breakout confirmation strategy – When price breaks above or below a significant DWMY level with strong volume, the broken level often transforms into support (if broken upward) or resistance (if broken downward), providing excellent entry and exit reference points.
Range trading opportunities – On ranging markets, use Daily and Weekly opens as potential reversal zones, especially when price approaches these levels during low-volume periods or near session opens when institutional activity increases.
Timeframe alignment technique – For swing trading, prioritize trades that align with the direction of the break from Weekly or Monthly opens, while using Daily opens for precise entry timing and position management.
Chart type optimization – This indicator excels on Renko, Range, and Point & Figure charts where traditional time-based DWMY indicators fail, making it invaluable for traders who prefer these aggregated chart types for cleaner price action analysis.
Important Disclaimer:
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance does not guarantee future results. Please conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred from using this indicator.
Performance Metrics With Bracketed Rebalacing [BackQuant]Performance Metrics With Bracketed Rebalancing
The Performance Metrics With Bracketed Rebalancing script offers a robust method for assessing portfolio performance, integrating advanced portfolio metrics with different rebalancing strategies. With a focus on adaptability, the script allows traders to monitor and adjust portfolio weights, equity, and other key financial metrics dynamically. This script provides a versatile approach for evaluating different trading strategies, considering factors like risk-adjusted returns, volatility, and the impact of portfolio rebalancing.
Please take the time to read the following:
Key Features and Benefits of Portfolio Methods
Bracketed Rebalancing:
Bracketed Rebalancing is an advanced strategy designed to trigger portfolio adjustments when an asset's weight surpasses a predefined threshold. This approach minimizes overexposure to any single asset while maintaining flexibility in response to market changes. The strategy is particularly beneficial for mitigating risks that arise from significant asset weight fluctuations. The following image illustrates how this method reacts when asset weights cross the threshold:
Daily Rebalancing:
Unlike the bracketed method, Daily Rebalancing adjusts portfolio weights every trading day, ensuring consistent asset allocation. This method aims for a more even distribution of portfolio weights, making it a suitable option for traders who prefer less sensitivity to individual asset volatility. Here's an example of Daily Rebalancing in action:
No Rebalancing:
For traders who prefer a passive approach, the "No Rebalancing" option allows the portfolio to remain static, without any adjustments to asset weights. This method may appeal to long-term investors or those who believe in the inherent stability of their selected assets. Here’s how the portfolio looks when no rebalancing is applied:
Portfolio Weights Visualization:
One of the standout features of this script is the visual representation of portfolio weights. With adjustable settings, users can track the current allocation of assets in real-time, making it easier to analyze shifts and trends. The following image shows the real-time weight distribution across three assets:
Rolling Drawdown Plot:
Managing drawdown risk is a critical aspect of portfolio management. The Rolling Drawdown Plot visually tracks the drawdown over time, helping traders monitor the risk exposure and performance relative to the peak equity levels. This feature is essential for assessing the portfolio's resilience during market downturns:
Daily Portfolio Returns:
Tracking daily returns is crucial for evaluating the short-term performance of the portfolio. The script allows users to plot daily portfolio returns to gain insights into daily profit or loss, helping traders stay updated on their portfolio’s progress:
Performance Metrics
Net Profit (%):
This metric represents the total return on investment as a percentage of the initial capital. A positive net profit indicates that the portfolio has gained value over the evaluation period, while a negative value suggests a loss. It's a fundamental indicator of overall portfolio performance.
Maximum Drawdown (Max DD):
Maximum Drawdown measures the largest peak-to-trough decline in portfolio value during a specified period. It quantifies the most significant loss an investor would have experienced if they had invested at the highest point and sold at the lowest point within the timeframe. A smaller Max DD indicates better risk management and less exposure to significant losses.
Annual Mean Returns (% p/y):
This metric calculates the average annual return of the portfolio over the evaluation period. It provides insight into the portfolio's ability to generate returns on an annual basis, aiding in performance comparison with other investment opportunities.
Annual Standard Deviation of Returns (% p/y):
This measure indicates the volatility of the portfolio's returns on an annual basis. A higher standard deviation signifies greater variability in returns, implying higher risk, while a lower value suggests more stable returns.
Variance:
Variance is the square of the standard deviation and provides a measure of the dispersion of returns. It helps in understanding the degree of risk associated with the portfolio's returns.
Sortino Ratio:
The Sortino Ratio is a variation of the Sharpe Ratio that only considers downside risk, focusing on negative volatility. It is calculated as the difference between the portfolio's return and the minimum acceptable return (MAR), divided by the downside deviation. A higher Sortino Ratio indicates better risk-adjusted performance, emphasizing the importance of avoiding negative returns.
Sharpe Ratio:
The Sharpe Ratio measures the portfolio's excess return per unit of total risk, as represented by standard deviation. It is calculated by subtracting the risk-free rate from the portfolio's return and dividing by the standard deviation of the portfolio's excess return. A higher Sharpe Ratio indicates more favorable risk-adjusted returns.
Omega Ratio:
The Omega Ratio evaluates the probability of achieving returns above a certain threshold relative to the probability of experiencing returns below that threshold. It is calculated by dividing the cumulative probability of positive returns by the cumulative probability of negative returns. An Omega Ratio greater than 1 indicates a higher likelihood of achieving favorable returns.
Gain-to-Pain Ratio:
The Gain-to-Pain Ratio measures the return per unit of risk, focusing on the magnitude of gains relative to the severity of losses. It is calculated by dividing the total gains by the total losses experienced during the evaluation period. A higher ratio suggests a more favorable balance between reward and risk.
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Compound Annual Growth Rate (CAGR) (% p/y):
CAGR represents the mean annual growth rate of the portfolio over a specified period, assuming the investment has been compounding over that time. It provides a smoothed annual rate of growth, eliminating the effects of volatility and offering a clearer picture of long-term performance.
Portfolio Alpha (% p/y):
Portfolio Alpha measures the portfolio's performance relative to a benchmark index, adjusting for risk. It is calculated using the Capital Asset Pricing Model (CAPM) and represents the excess return of the portfolio over the expected return based on its beta and the benchmark's performance. A positive alpha indicates outperformance, while a negative alpha suggests underperformance.
Portfolio Beta:
Portfolio Beta assesses the portfolio's sensitivity to market movements, indicating its exposure to systematic risk. A beta greater than 1 suggests the portfolio is more volatile than the market, while a beta less than 1 indicates lower volatility. Beta is used to understand the portfolio's potential for gains or losses in relation to market fluctuations.
Skewness of Returns:
Skewness measures the asymmetry of the return distribution. A positive skew indicates a distribution with a long right tail, suggesting more frequent small losses and fewer large gains. A negative skew indicates a long left tail, implying more frequent small gains and fewer large losses. Understanding skewness helps in assessing the likelihood of extreme outcomes.
Value at Risk (VaR) 95th Percentile:
VaR at the 95th percentile estimates the maximum potential loss over a specified period, given a 95% confidence level. It provides a threshold value such that there is a 95% probability that the portfolio will not experience a loss greater than this amount.
Conditional Value at Risk (CVaR):
CVaR, also known as Expected Shortfall, measures the average loss exceeding the VaR threshold. It provides insight into the tail risk of the portfolio, indicating the expected loss in the worst-case scenarios beyond the VaR level.
These metrics collectively offer a comprehensive view of the portfolio's performance, risk exposure, and efficiency. By analyzing these indicators, investors can make informed decisions, balancing potential returns with acceptable levels of risk.
Conclusion
The Performance Metrics With Bracketed Rebalancing script provides a comprehensive framework for evaluating and optimizing portfolio performance. By integrating advanced metrics, adaptive rebalancing strategies, and visual analytics, it empowers traders to make informed decisions in managing their investment portfolios. However, it's crucial to consider the implications of rebalancing strategies, as academic research indicates that predictable rebalancing can lead to market impact costs. Therefore, adopting flexible and less predictable rebalancing approaches may enhance portfolio performance and reduce associated costs.
Levels Of Interest------------------------------------------------------------------------------------
LEVELS OF INTEREST (LOI)
TRADING INDICATOR GUIDE
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Table of Contents:
1. Indicator Overview & Core Functionality
2. VWAP Foundation & Historical Context
3. Multi-Timeframe VWAP Analysis
4. Moving Average Integration System
5. Trend Direction Signal Detection
6. Visual Design & Display Features
7. Custom Level Integration
8. Repaint Protection Technology
9. Practical Trading Applications
10. Setup & Configuration Recommendations
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1. INDICATOR OVERVIEW & CORE FUNCTIONALITY
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The LOI indicator combines multiple VWAP calculations with moving averages across different timeframes. It's designed to show where institutional money is flowing and help identify key support and resistance levels that actually matter in today's markets.
Primary Functions:
- Multi-timeframe VWAP analysis (Daily, Weekly, Monthly, Yearly)
- Advanced moving average integration (EMA, SMA, HMA)
- Real-time trend direction detection
- Institutional flow analysis
- Dynamic support/resistance identification
Target Users: Day traders, swing traders, position traders, and institutional analysts seeking comprehensive market structure analysis.
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2. VWAP FOUNDATION & HISTORICAL CONTEXT
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Historical Development: VWAP started in the 1980s when big institutional traders needed a way to measure if they were getting good fills on their massive orders. Unlike regular price averages, VWAP weighs each price by the volume traded at that level. This makes it incredibly useful because it shows you where most of the real money changed hands.
Mathematical Foundation: The basic math is simple: you take each price, multiply it by the volume at that price, add them all up, then divide by total volume. What you get is the true "average" price that reflects actual trading activity, not just random price movements.
Formula: VWAP = Σ(Price × Volume) / Σ(Volume)
Where typical price = (High + Low + Close) / 3
Institutional Behavior Patterns:
- When price trades above VWAP, institutions often look to sell
- When it's below, they're usually buying
- Creates natural support and resistance that you can actually trade against
- Serves as benchmark for execution quality assessment
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3. MULTI-TIMEFRAME VWAP ANALYSIS
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Core Innovation: Here's where LOI gets interesting. Instead of just showing daily VWAP like most indicators, it displays four different timeframes simultaneously:
**Daily VWAP Implementation**:
- Resets every morning at market open
- Provides clearest picture of intraday institutional sentiment
- Primary tool for day trading strategies
- Most responsive to immediate market conditions
**Weekly VWAP System**:
- Resets each Monday (or first trading day)
- Smooths out daily noise and volatility
- Perfect for swing trades lasting several days to weeks
- Captures weekly institutional positioning
**Monthly VWAP Analysis**:
- Resets at beginning of each calendar month
- Captures bigger institutional rebalancing at month-end
- Fund managers often operate on monthly mandates
- Significant weight in intermediate-term analysis
**Yearly VWAP Perspective**:
- Resets annually for full-year institutional view
- Shows long-term institutional positioning
- Where pension funds and sovereign wealth funds operate
- Critical for major trend identification
Confluence Zone Theory: The magic happens when multiple VWAP levels cluster together. These confluence zones often become major turning points because different types of institutional money all see value at the same price.
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4. MOVING AVERAGE INTEGRATION SYSTEM
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Multi-Type Implementation: The indicator includes three types of moving averages, each with its own personality and application:
**Exponential Moving Averages (EMAs)**:
- React quickly to recent price changes
- Displayed as solid lines for easy identification
- Optimal performance in trending market conditions
- Higher sensitivity to current price action
**Simple Moving Averages (SMAs)**:
- Treat all historical data points equally
- Appear as dashed lines in visual display
- Slower response but more reliable in choppy conditions
- Traditional approach favored by institutional traders
**Hull Moving Averages (HMAs)**:
- Newest addition to the system (dotted line display)
- Created by Alan Hull in 2005
- Solves classic moving average dilemma: speed vs. accuracy
- Manages to be both responsive and smooth simultaneously
Technical Innovation: Alan Hull's solution addresses the fundamental problem where moving averages are either too slow (missing moves) or too fast (generating false signals). HMAs achieve optimal balance through weighted calculation methodology.
Period Configuration:
- 5-period: Short-term momentum assessment
- 50-period: Intermediate trend identification
- 200-period: Long-term directional confirmation
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5. TREND DIRECTION SIGNAL DETECTION
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Real-Time Momentum Analysis: One of LOI's best features is its real-time trend detection system. Next to each moving average, visual symbols provide immediate trend assessment:
Symbol System:
- ▲ Rising average (bullish momentum confirmation)
- ▼ Falling average (bearish momentum indication)
- ► Flat average (consolidation or indecision period)
Update Frequency: These signals update in real-time with each new price tick and function across all configured timeframes. Traders can quickly scan daily and weekly trends to assess alignment or conflicting signals.
Multi-Timeframe Trend Analysis:
- Simultaneous daily and weekly trend comparison
- Immediate identification of trend alignment
- Early warning system for potential reversals
- Momentum confirmation for entry decisions
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6. VISUAL DESIGN & DISPLAY FEATURES
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Color Psychology Framework: The color scheme isn't random but based on psychological associations and trading conventions:
- **Blue Tones**: Institutional neutrality (VWAP levels)
- **Green Spectrum**: Growth and stability (weekly timeframes)
- **Purple Range**: Longer-term sophistication (monthly analysis)
- **Orange Hues**: Importance and attention (yearly perspective)
- **Red Tones**: User-defined significance (custom levels)
Adaptive Display Technology: The indicator automatically adjusts decimal places based on the instrument you're trading. High-priced stocks show 2 decimals, while penny stocks might show 8. This keeps the display incredibly clean regardless of what you're analyzing - no cluttered charts or overwhelming information overload.
Smart Labeling System: Advanced positioning algorithm automatically spaces all elements to prevent overlap, even during extreme zoom levels or multiple timeframe analysis. Every level stays clearly readable without any visual chaos disrupting your analysis.
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7. CUSTOM LEVEL INTEGRATION
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User-Defined Level System: Beyond the calculated VWAP and moving average levels, traders can add custom horizontal lines at any price point for personalized analysis.
Strategic Applications:
- **Psychological Levels**: Round numbers, previous significant highs/lows
- **Technical Levels**: Fibonacci retracements, pivot points
- **Fundamental Targets**: Analyst price targets, earnings estimates
- **Risk Management**: Stop-loss and take-profit zones
Integration Features:
- Seamless incorporation with smart labeling system
- Custom color selection for visual organization
- Extension capabilities across all chart timeframes
- Maintains display clarity with existing indicators
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8. REPAINT PROTECTION TECHNOLOGY
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Critical Trading Feature: This addresses one of the most significant issues in live trading applications. Most multi-timeframe indicators "repaint," meaning they display different signals when viewing historical data versus real-time analysis.
Protection Benefits:
- Ensures every displayed signal could have been traded when it appeared
- Eliminates discrepancies between historical and live analysis
- Provides realistic performance expectations
- Maintains signal integrity across chart refreshes
Configuration Options:
- **Protection Enabled**: Default setting for live trading
- **Protection Disabled**: Available for backtesting analysis
- User-selectable toggle based on analysis requirements
- Applies to all multi-timeframe calculations
Implementation Note: With protection enabled, signals may appear one bar later than without protection, but this ensures all signals represent actionable opportunities that could have been executed in real-time market conditions.
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9. PRACTICAL TRADING APPLICATIONS
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**Day Trading Strategy**:
Focus on daily VWAP with 5-period moving averages. Look for bounces off VWAP or breaks through it with volume. Short-term momentum signals provide entry and exit timing.
**Swing Trading Approach**:
Weekly VWAP becomes your primary anchor point, with 50-period averages showing intermediate trends. Position sizing based on weekly VWAP distance.
**Position Trading Method**:
Monthly and yearly VWAP provide broad market context, while 200-period averages confirm long-term directional bias. Suitable for multi-week to multi-month holdings.
**Multi-Timeframe Confluence Strategy**:
The highest-probability setups occur when daily, weekly, and monthly VWAPs cluster together, especially when multiple moving averages confirm the same direction. These represent institutional consensus zones.
Risk Management Integration:
- VWAP levels serve as dynamic stop-loss references
- Multiple timeframe confirmation reduces false signals
- Institutional flow analysis improves position sizing decisions
- Trend direction signals optimize entry and exit timing
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10. SETUP & CONFIGURATION RECOMMENDATIONS
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Initial Configuration: Start with default settings and adjust based on individual trading style and market focus. Short-term traders should emphasize daily and weekly timeframes, while longer-term investors benefit from monthly and yearly level analysis.
Transparency Optimization: The transparency settings allow clear price action visibility while maintaining level reference points. Most traders find 70-80% transparency optimal - it provides a clean, unobstructed view of price movement while maintaining all critical reference levels needed for analysis.
Integration Strategy: Remember that no indicator functions effectively in isolation. LOI provides excellent context for institutional flow and trend direction analysis, but should be combined with complementary analysis tools for optimal results.
Performance Considerations:
- Multiple timeframe calculations may impact chart loading speed
- Adjust displayed timeframes based on trading frequency
- Customize color schemes for different market sessions
- Regular review and adjustment of custom levels
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FINAL ANALYSIS
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Competitive Advantage: What makes LOI different is its focus on where real money actually trades. By combining volume-weighted calculations with multiple timeframes and trend detection, it cuts through market noise to show you what institutions are really doing.
Key Success Factor: Understanding that different timeframes serve different purposes is essential. Use them together to build a complete picture of market structure, then execute trades accordingly.
The integration of institutional flow analysis with technical trend detection creates a comprehensive trading tool that addresses both short-term tactical decisions and longer-term strategic positioning.
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END OF DOCUMENTATION
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Last Week's APM FX pairs only📖 Description:
This script is designed for precision-focused forex traders who understand the power of volatility measurement. It calculates the Average Price Movement (APM) from the previous week by measuring the full wick-to-wick range (high to low) of each daily candle from Monday to Friday, then averaging them across the five sessions.
🔍 Core Features:
✅ Accurate APM Calculation:
Pulls daily high-low ranges from last week using locked daily timeframe data, ensuring stable and reliable pip range measurements across all chart timeframes.
✅ Auto-Adjusts for Pip Precision:
Detects whether the pair is JPY-based or not, and automatically adjusts the pip multiplier (100 for JPY pairs, 10,000 for all others) to give true pip values.
✅ Visual Display in Clean UI:
The calculated APM is displayed in a non-intrusive, fixed-position table in the top-right corner of the chart — making it ideal for traders who want continuous awareness of recent market behavior without visual clutter.
✅ Timeless on Any Timeframe:
Whether you’re on the 1-minute chart or the daily, the script remains anchored and accurate because it sources raw data from the daily chart internally.
📈 How It Helps Your Trading:
🧠 Volatility Awareness: Know how much a pair typically moves per day based on recent historical behavior — great for range analysis, target setting, or session biasing.
📊 Week-to-Week Comparison: Use it as a benchmark to compare current volatility to last week’s. Great for identifying if the market is expanding, contracting, or stabilizing.
🔗 Perfect for Confluence: APM can serve as a supporting metric when combined with order blocks, liquidity zones, news catalysts, or other volatility-based tools like ATR.
🛠️ Ideal For:
Professional and prop firm traders
Institutional model traders (ICT-style or SMC)
Volatility scalpers and range-based intraday traders
Anyone building a rules-based trading system with data-driven logic
🔐 Clean. Reliable. Focused.
If you value structure, volatility awareness, and pip precision — this tool belongs in your chart workspace.
magic wand STSM"Magic Wand STSM" Strategy: Trend-Following with Dynamic Risk Management
Overview:
The "Magic Wand STSM" (Supertrend & SMA Momentum) is an automated trading strategy designed to identify and capitalize on sustained trends in the market. It combines a multi-timeframe Supertrend for trend direction and potential reversal signals, along with a 200-period Simple Moving Average (SMA) for overall market bias. A key feature of this strategy is its dynamic position sizing based on a user-defined risk percentage per trade, and a built-in daily and monthly profit/loss tracking system to manage overall exposure and prevent overtrading.
How it Works (Underlying Concepts):
Multi-Timeframe Trend Confirmation (Supertrend):
The strategy uses two Supertrend indicators: one on the current chart timeframe and another on a higher timeframe (e.g., if your chart is 5-minute, the higher timeframe Supertrend might be 15-minute).
Trend Identification: The Supertrend's direction output is crucial. A negative direction indicates a bearish trend (price below Supertrend), while a positive direction indicates a bullish trend (price above Supertrend).
Confirmation: A core principle is that trades are only considered when the Supertrend on both the current and the higher timeframe align in the same direction. This helps to filter out noise and focus on stronger, more confirmed trends. For example, for a long trade, both Supertrends must be indicating a bearish trend (price below Supertrend line, implying an uptrend context where price is expected to stay above/rebound from Supertrend). Similarly, for short trades, both must be indicating a bullish trend (price above Supertrend line, implying a downtrend context where price is expected to stay below/retest Supertrend).
Trend "Readiness": The strategy specifically looks for situations where the Supertrend has been stable for a few bars (checking barssince the last direction change).
Long-Term Market Bias (200 SMA):
A 200-period Simple Moving Average is plotted on the chart.
Filter: For long trades, the price must be above the 200 SMA, confirming an overall bullish bias. For short trades, the price must be below the 200 SMA, confirming an overall bearish bias. This acts as a macro filter, ensuring trades are taken in alignment with the broader market direction.
"Lowest/Highest Value" Pullback Entries:
The strategy employs custom functions (LowestValueAndBar, HighestValueAndBar) to identify specific price action within the recent trend:
For Long Entries: It looks for a "buy ready" condition where the price has found a recent lowest point within a specific number of bars since the Supertrend turned bearish (indicating an uptrend). This suggests a potential pullback or consolidation before continuation. The entry trigger is a close above the open of this identified lowest bar, and also above the current bar's open.
For Short Entries: It looks for a "sell ready" condition where the price has found a recent highest point within a specific number of bars since the Supertrend turned bullish (indicating a downtrend). This suggests a potential rally or consolidation before continuation downwards. The entry trigger is a close below the open of this identified highest bar, and also below the current bar's open.
Candle Confirmation: The strategy also incorporates a check on the candle type at the "lowest/highest value" bar (e.g., closevalue_b < openvalue_b for buy signals, meaning a bearish candle at the low, suggesting a potential reversal before a buy).
Risk Management and Position Sizing:
Dynamic Lot Sizing: The lotsvalue function calculates the appropriate position size based on your Your Equity input, the Risk to Reward ratio, and your risk percentage for your balance % input. This ensures that the capital risked per trade remains consistent as a percentage of your equity, regardless of the instrument's volatility or price. The stop loss distance is directly used in this calculation.
Fixed Risk Reward: All trades are entered with a predefined Risk to Reward ratio (default 2.0). This means for every unit of risk (stop loss distance), the target profit is rr times that distance.
Daily and Monthly Performance Monitoring:
The strategy tracks todaysWins, todaysLosses, and res (daily net result) in real-time.
A "daily profit target" is implemented (day_profit): If the daily net result is very favorable (e.g., res >= 4 with todaysLosses >= 2 or todaysWins + todaysLosses >= 8), the strategy may temporarily halt trading for the remainder of the session to "lock in" profits and prevent overtrading during volatile periods.
A "monthly stop-out" (monthly_trade) is implemented: If the lres (overall net result from all closed trades) falls below a certain threshold (e.g., -12), the strategy will stop trading for a set period (one week in this case) to protect capital during prolonged drawdowns.
Trade Execution:
Entry Triggers: Trades are entered when all buy/sell conditions (Supertrend alignment, SMA filter, "buy/sell situation" candle confirmation, and risk management checks) are met, and there are no open positions.
Stop Loss and Take Profit:
Stop Loss: The stop loss is dynamically placed at the upTrendValue for long trades and downTrendValue for short trades. These values are derived from the Supertrend indicator, which naturally adjusts to market volatility.
Take Profit: The take profit is calculated based on the entry price, the stop loss, and the Risk to Reward ratio (rr).
Position Locks: lock_long and lock_short variables prevent immediate re-entry into the same direction once a trade is initiated, or after a trend reversal based on Supertrend changes.
Visual Elements:
The 200 SMA is plotted in yellow.
Entry, Stop Loss, and Take Profit lines are plotted in white, red, and green respectively when a trade is active, with shaded areas between them to visually represent risk and reward.
Diamond shapes are plotted at the bottom of the chart (green for potential buy signals, red for potential sell signals) to visually indicate when the buy_sit or sell_sit conditions are met, along with other key filters.
A comprehensive trade statistics table is displayed on the chart, showing daily wins/losses, daily profit, total deals, and overall profit/loss.
A background color indicates the active trading session.
Ideal Usage:
This strategy is best applied to instruments with clear trends and sufficient liquidity. Users should carefully adjust the Your Equity, Risk to Reward, and risk percentage inputs to align with their individual risk tolerance and capital. Experimentation with different ATR Length and Factor values for the Supertrend might be beneficial depending on the asset and timeframe.
ZenAlgo - DominatorThis indicator provides a structured multi-ticker overview of market momentum and relative strength by analyzing short-term price behavior across selected assets in comparison with broader crypto dominance and Bitcoin/ETH performance.
Ticker and Market Data Handling
The script accepts up to 9 user-defined symbols (tickers) along with BTCUSD and ETHUSD. For each symbol:
It retrieves the current price.
It also requests the daily opening price from the "D" timeframe to compute intraday percentage change.
For BTC, ETH, and dominance (sum of BTC, USDT, and USDC dominance), daily change is calculated using this same method.
This comparison enables tracking relative performance from the daily open, which provides meaningful insight into intraday strength or weakness among different assets.
Dominance Logic
The indicator aggregates dominance data from BTC , USDT , and USDC using TradingView’s CRYPTOCAP indices. This combined dominance is used as a reference in directional and status calculations. ETH dominance is also analyzed independently.
Changes in dominance are used to infer whether market attention is shifting toward Bitcoin/stablecoins (typically indicating risk-off sentiment) or away from them (typically risk-on behavior, benefiting altcoins).
Price Direction Estimation
The script estimates directional bias using an EMA-based deviation technique:
A short EMA (user-defined lookback , default 4 bars) is calculated.
The current close is compared to the EMA to assess directional bias.
Recent candle changes are also inspected to confirm a consistent short-term trend (e.g., 3 consecutive higher closes for "up").
A small threshold is used to avoid classifying flat movements as trends.
This directionality logic is applied separately to:
The selected ticker's price
BTC price
Combined dominance
This allows the script to contextualize the movement of each asset within broader market conditions.
Market Status Evaluation
A custom function analyzes ETH and BTC dominance trends along with their relative strength to define the overall market regime:
Altseason is identified when BTC dominance is declining, ETH dominance rising, and ETH outperforms BTC.
BTC Season occurs when BTC dominance is rising, ETH dominance falling, and BTC outperforms ETH.
If neither condition is met, the state is Neutral .
This classification is shown alongside each ticker's row in the table and helps traders assess whether market conditions favor Bitcoin, Ethereum, or altcoins in general.
Ticker Status Classification
Each ticker is analyzed independently using the earlier directional logic. Its status is then determined as follows:
Full Bull : Ticker is trending up while dominance is declining or BTC is also rising.
Bullish : Ticker is trending up but not supported by broader bullish context.
Bearish : Ticker is trending down but without broader confirmation.
Full Bear : Ticker is trending down while dominance rises or BTC falls.
Neutral : No strong directional bias or conflicting context.
This classification reflects short-term momentum and macro alignment and is color-coded in the results table.
Table Display and Plotting
A configurable table is shown on the chart, which:
Displays the name and status of each selected ticker.
Optionally includes BTC, ETH, and market state.
Uses color-coding for intuitive interpretation.
Additionally, price changes from the daily open are plotted for each selected ticker, BTC, ETH, and combined dominance. These values are also labeled directly on the chart.
Labeling and UX Enhancements
Labels next to the current candle display price and percent change for each active ticker and for BTC, ETH, and combined dominance.
Labels update each bar, and old labels are deleted to avoid clutter.
Ticker names are dynamically shortened by stripping exchange prefixes.
How to Use This Indicator
This tool helps traders:
Spot early rotations between Bitcoin and altcoins.
Identify intraday momentum leaders or laggards.
Monitor which tickers align with or diverge from broader market trends.
Detect possible sentiment shifts based on dominance trends.
It is best used on lower to mid timeframes (15m–4h) to capture intraday to short-term shifts. Users should cross-reference with longer-term trend tools or structural indicators when making directional decisions.
Interpretation of Values
% Change : Measures intraday move from daily open. Strong positive/negative values may indicate breakouts or reversals.
Status : Describes directional strength relative to market conditions.
Market State : Gives a general bias toward BTC dominance, ETH strength, or altcoin momentum.
Limitations & Considerations
The indicator does not analyze liquidity or volume directly.
All logic is based on short-term movements and may produce false signals in ranging or low-volume environments.
Dominance calculations rely on external CRYPTOCAP indices, which may differ from exchange-specific flows.
Added Value Over Other Free Tools
Unlike basic % change tables or price overlays, this indicator:
Integrates dominance-based macro context into ticker evaluation.
Dynamically classifies market regimes (BTC season / Altseason).
Uses multi-factor logic to determine ticker bias, avoiding single-metric interpretation.
Displays consolidated information in a table and chart overlays for rapid assessment.
Levels & Flow📌 Overview
Levels & Flow is a visual trading tool that combines daily pivot levels with a dynamic EMA ribbon to help traders identify structure, momentum, and key decision zones in the market.
This script is designed for discretionary traders who rely on clean visual cues for intraday and swing trading strategies.
⚙️ Key Features
Daily Pivot, Support, and Resistance Lines
Automatically plots the daily pivot level based on the previous day’s OHLC data, along with calculated support and resistance levels.
Fibonacci Retracement Levels
Two dashed lines above and below the pivot represent the retracement of the pivot-resistance and pivot-support range, forming the boundaries of the “no-trade zone.”
No-Trade Zone (Shaded Box)
A gray shaded box between the two Fibonacci levels to visually mark a high-chop/low-conviction zone.
Trend-Based Candle Coloring (Current Day Only)
Candles are colored green if the close is above the pivot, red if below (only on the current trading day).
Bullish/Bearish Trend Label
A small table in the bottom-right corner displays “Bullish” or “Bearish” depending on whether price is above or below the pivot.
20-EMA Gradient Ribbon
A stack of 20 EMAs, each smoothed and color-coded from blue to green to reflect short- to long-term trend alignment.
Cumulative EMA with Adaptive Weighting
An intelligent moving average line that adjusts weight distribution among the 20 EMAs based on recent predictive accuracy using a learning rate and lookback period.
🧠 How It Works
📍 Levels
The script calculates daily pivot, resistance, and support levels using standard formulas:
Pivot = (High + Low + Close) / 3
Resistance = (2 × Pivot) – Low
Support = (2 × Pivot) – High
These levels update each day and extend 143 bars to the right.
📏 Fib Lines
Fib Up = Pivot + (Resistance – Pivot) × 0.382
Fib Down = Pivot – (Pivot – Support) × 0.382
These lines form the “no-trade zone” box.
📈 EMA Ribbon
20 EMAs starting from the user-defined Base Length, each incremented by 1
Each EMA is smoothed using the Smoothing Period
Color-coded from blue to green for intuitive visual flow
Filled between EMAs to visualize trend strength and alignment
🧠 Cumulative EMA Learning
Each EMA’s historical error is calculated over a Lookback Period
Lower-error EMAs receive higher weight; weights are normalized to sum to 1
The result is a cumulative EMA that adapts based on historical predictive power
🔧 User Inputs
Input
Base EMA Length: Sets the period for the shortest EMA (default: 20)
Smoothing Period: Smooths all EMAs and the cumulative EMA
Lookback for Learning: Number of bars to evaluate EMA prediction accuracy
Learning Rate: Adjusts how quickly weights shift in favor of more accurate EMAs
✅ How to Use It
Use the pivot level to define directional bias.
Watch for price breakouts above resistance or breakdowns below support to consider entry.
Avoid trading inside the shaded zone, where direction is less reliable.
Use the EMA ribbon gradient to confirm short/long alignment.
The cumulative EMA helps define trend with noise reduction.
🧪 Best For
Intraday traders who want to blend structure with flow
Swing traders needing clean daily levels with dynamic confirmation
Anyone looking to avoid choppy zones and improve visual clarity
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Always test scripts in simulation or on demo accounts before live use. Use at your own risk.
Filt ADR🟠 Script Name: Filtered Average Daily Range (Filt ADR)
This script calculates a filtered version of the Average Daily Range (ADR) based on the last 14 daily candles. It's designed to reduce the influence of unusually high or low daily ranges (outliers) by applying a filter before calculating the average.
🔧 How It Works — Step by Step
1. Calculate Daily Ranges (High - Low)
It retrieves the daily price ranges (difference between daily high and low) for the last 14 days using request.security() with the "D" (daily) timeframe.
pinescript
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high - low // today's daily range
high - low // yesterday's daily range
...
These values are stored into individual variables dr0 to dr13.
2. Build an Array of Daily Ranges
An array named ranges is used to store the 14 daily ranges, but only if they are not na (missing data). This avoids errors during processing.
3. Calculate the Initial (Unfiltered) Average Range
The script sums all values in the ranges array and calculates their average:
pinescript
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avg_all = total sum of ranges / number of valid entries
4. Filter Out Outliers
Now it filters the values in ranges:
Only keeps the ranges that are between 0.5×avg_all and 2×avg_all.
This is to remove abnormally small or large daily ranges that could distort the average.
The filtered values are added to a second array called filtered.
5. Calculate the Filtered ADR
Finally, it calculates the average of the filtered daily ranges:
pinescript
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avg_filt = sum of filtered ranges / number of filtered values
This is the Filtered ADR.
6. Plot the Result
The result (avg_filt) is plotted as an orange line on the chart. It updates on each bar (depending on the current timeframe you're viewing) but the underlying data is based on the last 14 daily candles.
pinescript
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plot(avg_filt, title="Filtered ADR", color=color.orange, linewidth=2)
✅ Use Case
This script is useful for traders who use the Average Daily Range (ADR) to:
Estimate expected price movement during a day
Set volatility-based stop-loss or take-profit levels
Identify days with unusually high or low volatility
By filtering out extreme values, it provides a more stable and reliable estimate of daily volatility.
P1 & P2 Helper by Brighter DataThis script draws the current high & low on the chart for multiple timeframes in P1/P2 format: P1 is either the highest or lowest point of the timeframe, whichever came first. P2 is whichever came second.
For example, on the daily timeframe if the daily low is marked out as P1 and the daily high is P2, it means that the daily low was put in before the daily high. This mapping of highs/lows is used as support for the BD dashboard and its statistics.
Seasonality DOW CombinedOverall Purpose
This script analyzes historical daily returns based on two specific criteria:
Month of the year (January through December)
Day of the week (Sunday through Saturday)
It summarizes and visually displays the average historical performance of the selected asset by these criteria over multiple years.
Step-by-Step Breakdown
1. Initial Settings:
Defines minimum year (i_year_start) from which data analysis will start.
Ensures the user is using a daily timeframe, otherwise prompts an error.
Sets basic display preferences like text size and color schemes.
2. Data Collection and Variables:
Initializes matrices to store and aggregate returns data:
month_data_ and month_agg_: store monthly performance.
dow_data_ and dow_agg_: store day-of-week performance.
COUNT tracks total number of occurrences, and COUNT_POSITIVE tracks positive-return occurrences.
3. Return Calculation:
Calculates daily percentage change (chg_pct_) in price:
chg_pct_ = close / close - 1
Ensures it captures this data only for the specified years (year >= i_year_start).
4. Monthly Performance Calculation:
Each daily return is grouped by month:
matrix.set updates total returns per month.
The script tracks:
Monthly cumulative returns
Number of occurrences (how many days recorded per month)
Positive occurrences (days with positive returns)
5. Day-of-Week Performance Calculation:
Similarly, daily returns are also grouped by day-of-the-week (Sunday to Saturday):
Daily return values are summed per weekday.
The script tracks:
Cumulative returns per weekday
Number of occurrences per weekday
Positive occurrences per weekday
6. Visual Display (Tables):
The script creates two visual tables:
Left Table: Monthly Performance.
Right Table: Day-of-the-Week Performance.
For each table, it shows:
Yearly data for each month/day.
Summaries at the bottom:
SUM row: Shows total accumulated returns over all selected years for each month/day.
+ive row: Shows percentage (%) of times the month/day had positive returns, along with a tooltip displaying positive occurrences vs total occurrences.
Cells are color-coded:
Green for positive returns.
Red for negative returns.
Gray for neutral/no change.
7. Interpreting the Tables:
Monthly Table (left side):
Helps identify seasonal patterns (e.g., historically bullish/bearish months).
Day-of-Week Table (right side):
Helps detect recurring weekday patterns (e.g., historically bullish Mondays or bearish Fridays).
Practical Use:
Traders use this to:
Identify patterns based on historical data.
Inform trading strategies, e.g., avoiding historically bearish days/months or leveraging historically bullish periods.
Example Interpretation:
If the table shows consistently green (positive) for March and April, historically the asset tends to perform well during spring. Similarly, if the "Friday" column is often red, historically Fridays are bearish for this asset.
Kinetic Price Momentum Oscillator📈 Kinetic Price Momentum Oscillator (Sri-PMO)
Author's Note:
This script is an educational and custom-adapted visualization based on the concept of the Price Momentum Oscillator (PMO). It is not a direct clone of any proprietary implementation, and it introduces enhancements such as timeframe sensitivity, customizable smoothings, multi-timeframe analysis, and visual trend meters.
🔍 Overview:
The Kinetic Price Momentum Oscillator (Kinetic-PMO) is a dynamic momentum indicator that analyzes price rate of change smoothed with dual exponential moving averages. It offers a clear view of momentum trends across multiple timeframes—the chart's current timeframe, the 1-hour timeframe, and the 1-day timeframe. It includes optional visual cues for zero-line crossovers, trend ribbon fills, and a daily trend meter.
🧮 Calculation Logic:
At its core, Kinetic-PMO calculates momentum by:
Measuring Rate of Change (ROC) over 1 bar.
Applying double EMA smoothing:
The first smoothing (len1) smooths the ROC.
The second smoothing (len2) smooths the result further.
This produces the main KPMO Line.
A third EMA (sigLen) is applied to the KPMO line to produce the Signal Line.
The formula includes a multiplier of 10 to scale values.
pinescript
Copy
Edit
roc = ta.roc(source, 1)
kmo = ta.ema(10 * ta.ema(roc, len1), len2)
signal = ta.ema(kmo, sigLen)
To allow responsiveness across timeframes, the script provides sensitivity inputs (sensA, sensB, sensC) which dynamically scale the smoothing lengths for different contexts:
Intraday (current chart timeframe)
Hourly (1H)
Daily (1D)
🧭 Features:
✅ Multi-Timeframe Calculation:
Intraday: Based on current chart resolution
1H: PMO for the hourly trend
1D: Daily trend meter using KPMO structure
✅ Trend Identification:
Green if PMO is above Signal Line (bullish)
Red if PMO is below Signal Line (bearish)
Daily Trend Meter includes nuanced color mapping:
Lime = Bullish above zero
Orange = Bullish below zero
Red = Bearish below zero
Yellow = Bearish above zero
✅ Custom Visual Enhancements:
Optional filled ribbons between KPMO and Signal
Optional zero-line crossover background highlight
Compact daily trend meter displayed as a color-coded shape
🛠 Customization Parameters:
Input Description
Primary Smoothing Controls ROC smoothing depth (1st EMA)
Secondary Smoothing Controls final smoothing (2nd EMA)
Signal Smoothing Controls EMA of the PMO line
Input Source Default is close, but any price type can be selected
Sensitivity Factors Separate multipliers for intraday, 1H, and 1D
Visual Settings Toggle zero-line highlight and ribbon fill
🧠 Intended Use:
The Kinetic-PMO is suitable for trend confirmation, momentum divergence detection, and entry/exit refinement. The multi-timeframe aspect helps align short-term and long-term momentum trends, supporting better trade decision-making.
⚖️ Legal & Attribution Statement:
This script was independently created and modified for educational and analytical purposes. While the concept of the PMO is inspired by technical analysis literature, this implementation does not copy or reverse-engineer any proprietary code. It introduces custom parameters, visualization enhancements, and multi-timeframe logic. Posting this script complies with TradingView’s policy on derivative work and educational indicators.
Yearly History Calendar-Aligned Price up to 10 Years)Overview
This indicator helps traders compare historical price patterns from the past 10 calendar years with the current price action. It overlays translucent lines (polylines) for each year’s price data on the same calendar dates, providing a visual reference for recurring trends. A dynamic table at the top of the chart summarizes the active years, their price sources, and history retention settings.
Key Features
Historical Projections
Displays price data from the last 10 years (e.g., January 5, 2023 vs. January 5, 2024).
Price Source Selection
Choose from Open, Low, High, Close, or HL2 ((High + Low)/2) for historical alignment.
The selected source is shown in the legend table.
Bulk Control Toggles
Show All Years : Display all 10 years simultaneously.
Keep History for All : Preserve historical lines on year transitions.
Hide History for All : Automatically delete old lines to update with current data.
Individual Year Settings
Toggle visibility for each year (-1 to -10) independently.
Customize color and line width for each year.
Control whether to keep or delete historical lines for specific years.
Visual Alignment Aids
Vertical lines mark yearly transitions for reference.
Polylines are semi-transparent for clarity.
Dynamic Legend Table
Shows active years, their price sources, and history status (On/Off).
Updates automatically when settings change.
How to Use
Configure Settings
Projection Years : Select how many years to display (1–10).
Price Source : Choose Open, Low, High, Close, or HL2 for historical alignment.
History Precision : Set granularity (Daily, 60m, or 15m).
Daily (D) is recommended for long-term analysis (covers 10 years).
60m/15m provides finer precision but may only cover 1–3 years due to data limits.
Adjust Visibility & History
Show Year -X : Enable/disable specific years for comparison.
Keep History for Year -X : Choose whether to retain historical lines or delete them on new year transitions.
Bulk Controls
Show All Years : Display all 10 years at once (overrides individual toggles).
Keep History for All / Hide History for All : Globally enable/disable history retention for all years.
Customize Appearance
Line Width : Adjust polyline thickness for better visibility.
Colors : Assign unique colors to each year for easy identification.
Interpret the Legend Table
The table shows:
Year : Label (e.g., "Year -1").
Source : The selected price type (e.g., "Close", "HL2").
Keep History : Indicates whether lines are preserved (On) or deleted (Off).
Tips for Optimal Use
Use Daily Timeframes for Long-Term Analysis :
Daily (1D) allows 10+ years of data. Smaller timeframes (60m/15m) may have limited historical coverage.
Compare Recurring Patterns :
Look for overlaps between historical polylines and current price to identify potential support/resistance levels.
Customize Colors & Widths :
Use contrasting colors for years you want to highlight. Adjust line widths to avoid clutter.
Leverage Global Toggles :
Enable Show All Years for a quick overview. Use Keep History for All to maintain continuity across transitions.
Example Workflow
Set Up :
Select Projection Years = 5.
Choose Price Source = Close.
Set History Precision = 1D for long-term data.
Customize :
Enable Show Year -1 to Show Year -5.
Assign distinct colors to each year.
Disable Keep History for All to ensure lines update on year transitions.
Analyze :
Observe how the 2023 close prices align with 2024’s price action.
Use vertical lines to identify yearly boundaries.
Common Questions
Why are some years missing?
Ensure the chart has sufficient historical data (e.g., daily charts cover 10 years, 60m/15m may only cover 1–3 years).
How do I update the data?
Adjust the Price Source or toggle years/history settings. The legend table updates automatically.
Stochastic RSI with MTF TableShort Description of the Script
The provided Pine Script indicator, titled "Stochastic RSI with MTF Table," calculates and displays the Stochastic RSI for the current timeframe and multiple other timeframes (5m, 15m, 30m, 60m, 240m, and daily). The Stochastic RSI is a momentum indicator that blends the Relative Strength Index (RSI) and Stochastic Oscillator to identify overbought and oversold conditions, as well as potential trend reversals via K and D line crossovers.
Key features of the script include:
Inputs: Customizable parameters such as K smoothing (default 3), D smoothing (default 3), RSI length (default 14), Stochastic length (default 14), source price (default close), and overbought/oversold levels (default 80/20).
MTF Table: A table displays the Stochastic RSI status for each timeframe:
"OB" (overbought) if K > 80, "OS" (oversold) if K < 20, or "N" (neutral) otherwise.
Crossovers: "K↑D" for bullish (K crosses above D) and "K↓D" for bearish (K crosses below D).
Visualization: Plots the K and D lines for the current timeframe, with horizontal lines at 80 (overbought), 50 (middle), and 20 (oversold), plus a background fill for clarity.
Table Position: Configurable to appear in one of four chart corners (default: top-right).
This indicator helps traders assess momentum across multiple timeframes simultaneously, aiding in the identification of trend strength and potential entry/exit points.
Trading Strategy with 50EMA and 200EMA for Highest Winning Rate
To create a strategy with the best probability of a high winning rate using the Stochastic RSI MTF indicator alongside the 50-period Exponential Moving Average (50EMA) and 200-period Exponential Moving Average (200EMA), we can combine trend identification with momentum-based entry timing. The 50EMA and 200EMA are widely used to determine medium- and long-term trends, while the Stochastic RSI MTF table provides multi-timeframe momentum signals. Here’s the strategy:
1. Determine the Overall Trend
Bullish Trend: The 50EMA is above the 200EMA on the current timeframe (e.g., daily or 60m chart). This suggests an uptrend, often associated with a "Golden Cross."
Bearish Trend: The 50EMA is below the 200EMA on the current timeframe. This indicates a downtrend, often linked to a "Death Cross."
Implementation: Plot the 50EMA and 200EMA on your chart and visually confirm their relative positions.
2. Identify Entry Signals Using the Stochastic RSI MTF Table
In a Bullish Trend (50EMA > 200EMA):
Look for timeframes in the MTF table showing:
Oversold (OS): K < 20, indicating a potential pullback in the uptrend where price may rebound.
Bullish Crossover (K↑D): K crosses above D, signaling rising momentum and a potential entry point.
Example: If the 60m and 240m timeframes show "OS" or "K↑D," this could be a buy signal.
In a Bearish Trend (50EMA < 200EMA):
Look for timeframes in the MTF table showing:
Overbought (OB): K > 80, suggesting a rally in the downtrend where price may reverse downward.
Bearish Crossover (K↓D): K crosses below D, indicating declining momentum and a potential short entry.
Example: If the 30m and daily timeframes show "OB" or "K↓D," this could be a sell/short signal.
Current Timeframe Check: Use the plotted K and D lines on your trading timeframe for precise entry timing (e.g., confirm a K↑D crossover on a 60m chart for a long trade).
3. Confirm Signals Across Multiple Timeframes
Strengthen the Signal: A higher winning rate is more likely when multiple timeframes align with the trend and signal. For instance:
Bullish trend + "OS" or "K↑D" on 60m, 240m, and daily = strong buy signal.
Bearish trend + "OB" or "K↓D" on 15m, 60m, and 240m = strong sell signal.
Prioritize Higher Timeframes: Signals from the 240m or daily timeframe carry more weight due to their indication of broader trends, increasing reliability.
4. Set Stop-Loss and Take-Profit Levels
Long Trades (Bullish):
Stop-Loss: Place below the most recent swing low or below the 50EMA, whichever is closer, to protect against trend reversals.
Take-Profit: Target a key resistance level or use a risk-reward ratio (e.g., 2:1 or 3:1) based on the stop-loss distance.
Short Trades (Bearish):
Stop-Loss: Place above the most recent swing high or above the 50EMA, whichever is closer.
Take-Profit: Target a key support level or apply a similar risk-reward ratio.
Trailing Stop Option: As the trend progresses, trail the stop below the 50EMA (for longs) or above it (for shorts) to lock in profits.
5. Risk Management
Position Sizing: Risk no more than 1-2% of your trading capital per trade to minimize losses from false signals.
Volatility Consideration: Adjust stop-loss distances and position sizes based on the asset’s volatility (e.g., wider stops for volatile stocks or crypto).
Avoid Overtrading: Wait for clear alignment between the EMA trend and MTF signals to avoid low-probability setups.
Example Scenario
Chart: 60-minute timeframe.
Trend: 50EMA > 200EMA (bullish).
MTF Table: 60m shows "OS," 240m shows "K↑D," and daily is "N."
Action: Enter a long position when the 60m K line crosses above D, confirming the table signal.
Stop-Loss: Below the recent 60m swing low (e.g., 2% below entry).
Take-Profit: At the next resistance level or a 3:1 reward-to-risk ratio.
Outcome: High probability of success due to trend alignment and multi-timeframe confirmation.
Why This Strategy Works
Trend Following: Trading in the direction of the 50EMA/200EMA trend reduces the risk of fighting the market’s momentum.
Momentum Timing: The Stochastic RSI MTF table pinpoints pullbacks or reversals within the trend, improving entry timing.
Multi-Timeframe Confirmation: Alignment across timeframes filters out noise, increasing the win rate.
Risk Control: Defined stop-loss and position sizing protect against inevitable losses.
Caveats
No strategy guarantees a 100% win rate; false signals can occur, especially in choppy markets.
Test this strategy on historical data or a demo account to verify its effectiveness for your asset and timeframe.
This approach leverages the strengths of both trend-following (EMA) and momentum (Stochastic RSI) tools, aiming for a high-probability, disciplined trading system.
IBD Style Candles [tradeviZion]IBD Style Candles - Visualize Price Bars Like the Pros
Transform your chart with institutional-grade IBD-style bars and customizable moving averages for both daily and weekly timeframes. This indicator helps you visualize price action the way professionals at Investors Business Daily do.
What This Indicator Offers:
IBD-style bar visualization (clean, professional appearance)
Customizable coloring based on price movement or previous close
Automatic timeframe detection for appropriate moving averages
Four customizable moving averages for daily timeframes (10, 21, 50, 200)
Four customizable moving averages for weekly timeframes (10, 20, 30, 40)
Options to use SMAs or EMAs with adjustable colors and line widths
"The IBD-style bars provide a cleaner view of price action, allowing you to focus on market structure without the visual noise of traditional candles."
How to Apply the IBD-Style Bars:
On your TradingView chart, select "Bars" as the chart type from the main chart type selection menu (next to the time interval options).
Right-click on the chart and select "Settings".
Go to the "Symbol" tab.
Uncheck the "Thin Bars" option to display thicker bars.
Set the "Up Color" and "Down Color" opacity to 0 for a clean IBD-style appearance.
Enable "IBD-style Candles" from the script's settings.
To revert to the original chart style, repeat the above steps and restore the default settings.
Moving Average Configuration:
The indicator automatically detects your timeframe and displays the appropriate moving averages:
Daily Timeframe Moving Averages:
10-day moving average (SMA/EMA)
21-day moving average (SMA/EMA)
50-day moving average (SMA/EMA)
200-day moving average (SMA/EMA)
Weekly Timeframe Moving Averages:
10-week moving average (SMA/EMA)
20-week moving average (SMA/EMA)
30-week moving average (SMA/EMA)
40-week moving average (SMA/EMA)
Usage Tips:
Enable "Color bars based on previous close" to identify momentum shifts based on prior candle closes
Customize colors to match your chart theme or preference
Enable only the moving averages relevant to your trading strategy
For cleaner charts, reduce the number of visible moving averages
For stock trading, the 10/21/50/200 daily and 10/40 weekly MAs are most commonly used by institutions
// Example configuration for different timeframes
if timeframe.isweekly
// Weekly configuration
showSMA1_Weekly = true // 10-week MA
showSMA4_Weekly = true // 40-week MA
else
// Daily configuration
showMA2_Daily = true // 21-day MA
showMA3_Daily = true // 50-day MA
showMA4_Daily = true // 200-day MA
While the IBD style provides clarity, remember that no visualization method guarantees trading success. Always combine with proper analysis and risk management.
If you found this indicator helpful, please consider leaving a comment or suggestion for future improvements. Happy trading!
Camarilla Pivot Plays█ OVERVIEW
This indicator implements the Camarilla Pivot Points levels and a system for suggesting particular plays. It only calculates and shows the 3rd, 4th, and 6th levels, as these are the only ones used by the system. In total, there are 12 possible plays, grouped into two groups of six. The algorithm constantly evaluates conditions for entering and exiting the plays and indicates them in real time, also triggering user-configurable alerts.
█ CREDITS
The Camarilla pivot plays are defined in a strategy developed by Thor Young, and the whole system is explained in his book "A Complete Day Trading System" . The indicator is published with his permission, and he is a user of it. The book is not necessary in order to understand and use the indicator; this description contains sufficient information to use it effectively.
█ FEATURES
Automatically draws plays, suggesting an entry, stop-loss, and maximum target
User can set alerts on chosen ticker to call these plays, even when not currently viewing them
Highly configurable via many options
Works for US/European stocks and US futures (at least)
Works correctly on both RTH and ETH charts
Automatically switches between RTH and ETH data
Optionally also shows the "other" set of pivots (RTH vs ETH data)
Configurable behaviour in the pre-market, not active in the post-market
Configurable sensitivity of the play detection algorithm
Can also show weekly and monthly Camarilla pivots
Well-documented options tooltips
Sensible defaults which are suitable for immediate use
Well-documented and high-quality open-source code for those who are interested
█ HOW TO USE
The defaults work well; at a minimum, just add the indicator and watch the plays being called. To avoid having to watch securities, by selecting the three dots next to the indicator name, you can set an alert on the indicator and choose to be alerted on play entry or exit events—or both. The following diagram shows several plays activated in the past (with the "Show past plays" option selected).
By default, the indicator draws plays 5 days back; this can be changed up to 20 days. The labels can be shifted left/right using the "label offset" option to avoid overlapping with other labels in this indicator or those of another indicator.
An information box at the top-right of the chart shows:
The data currently in use for the main pivots. This can switch in the pre-market if the H/L range exceeds the previous day's H/L, and if it does, you will see that switch at the time that it happens
Whether the current day's pivots are in a higher or lower range compared to the previous day's. This is based on the RTH close, so large moves in the post-market won't be reflected (there is an advanced option to change this)
The width of the value relationship in the current day compared to the previous day
The currently active play. If multiple plays are active in parallel, only the last activated one is shown
The resistance pivots are all drawn in the same colour (red by default), as are the support pivots (green by default). You can change the resistance and support colours, but it is not possible to have different colours for different levels of the same kind. Plays will always use the correct colour, drawing over the pivots. For example, R4 is red by default, but if a play treats R4 as a support, then the play will draw a green line (by default) over the red R4 line, thereby hiding it while the play is active.
There are a few advanced parameters; leave these as default unless you really know what they do. Please note the script is complicated—it does a lot. You might need to wait a few seconds while it (re)calculates on new tickers or when changing options. Give it time when first loading or changing options!
█ CONCEPTS
The indicator is focused around daily Camarilla pivots and implements 12 possible plays: 6 when in a higher range, 6 when in a lower range. The plays are labelled by two letters—the first indicates the range, the second indicates the play—as shown in this diagram:
The pivots can be calculated using only RTH (Regular Trading Hours) data, or ETH (Extended Trading Hours) data, which includes the pre-market and post-market. The indicator implements logic to automatically choose the correct data, based on the rules defined by the strategy. This is user-overridable. With the default options, ETH will be used when the H/L range in the previous day's post-market or current day's pre-market exceeds that of the previous day's regular market. In auto mode, the chosen pivots are considered the main pivots for that day and are the ones used for play evaluation. The "other" pivots can also be shown—"other" here meaning using ETH data when the main pivots use RTH data, and vice versa.
When displaying plays in the pre-market, since the RTH open is not yet known (and that value is needed to evaluate play pre-conditions), the pre-market open is used as a proxy for the RTH open. After the regular market opens, the correct RTH open is used to evaluate play conditions.
█ NOTE FOR FUTURES
Futures always use full ETH data in auto mode. Users may, however, wish to use the option "Always use RTH close," which uses the 3 p.m. Central Time (CME/Chicago) as a basis for the close in the pivot calculations (instead of the 4 p.m. actual close).
Futures don't officially have a pre-market or post-market like equities. Let's take ES on CME as an example (CME is in Chicago, so all times are Central Time, i.e., 1 hour behind Eastern Time). It trades from 17:00 Sunday to 16:00 Friday, with a daily pause between 16:00 and 17:00. However, most of the trading activity is done between 08:30 and 15:00 (Central), which you can tell from the volume spikes at those times, and this coincides with NYSE/NASDAQ regular hours (09:30–16:00 Eastern). So we define a pseudo-pre-market from 17:00 the previous day to 08:30 on the current day, then a pseudo-regular market from 08:30 to 15:00, then a pseudo-post-market from 15:00 to 16:00.
The indicator then works exactly the same as with equities—all the options behave the same, just with different session times defined for the pre-, regular, and post-market, with "RTH" meaning just the regular market and "ETH" meaning all three. The only difference from equities is that the auto calculation mode always uses ETH instead of switching based on ETH range compared to RTH range. This is so users who just leave all the defaults are not confused by auto-switching of the calculation mode; normally you'll want the pivots based on all the (ETH) data. However, both "Force RTH" and "Use RTH close with ETH data" work the same as with equities—so if, in the calculations, you really want to only use RTH data, or use all ETH H/L data but use the RTH close (at 15:00), you can.
█ LIMITATIONS
The pivots are very close to those shown in DAS Trader Pro. They are not to-the-cent exact, but within a few cents. The reasons are:
TradingView uses real-time data from CBOE One, so doesn't have access to full exchange data (unless you pay for it in TradingView), and
the close/high/low are taken from the intraday timeframe you are currently viewing, not daily data—which are very close, but often not exactly the same. For example, the high on the daily timeframe may differ slightly from the daily high you'll see on an intraday timeframe.
I have occasionally seen larger than a few cents differences in the pivots between these and DAS Trader Pro—this is always due to differences in data, for example a big spike in the data in TradingView but not in DAS Trader Pro, or vice versa. The more traded the stock is, the less the difference tends to be. Highly traded stocks are usually within a few cents. Less traded stocks may be more (for example, 30¢ difference in R4 is the highest I've seen). If it bothers you, official NYSE/NASDAQ data in TradingView is quite inexpensive (but even that doesn't make the 8am candle identical).
The 6th Camarilla level does not have a standard definition and may not match the level shown on other platforms. It does match the definition used by DAS Trader Pro.
The indicator is an intraday indicator (despite also being able to show weekly and monthly pivots on an intraday chart). It deactivates on a daily timeframe and higher. It is untested on sub-minute timeframes; you may encounter runtime errors on these due to various historical data referencing issues. Also, the play detection algorithm would likely be unpredictable on sub-minute timeframes. Therefore, sub-minute timeframes are formally unsupported.
The indicator was developed and tested for US/European stocks and US futures. It may or may not work as intended for stocks and futures in different locations. It does not work for other security types (e.g., crypto), where I have no evidence that the strategy has any relevance.
Adaptive ATR Limits█ OVERVIEW
This indicator plots adaptive ATR limits for intraday trading. A key feature of this indicator, which makes it different from other ATR limit indicators, is that the top and bottom ATR limit lines are always exactly one ATR apart from each other (in "auto" mode; there is also a "basic" mode, which plots the limits in the more traditional way—i.e., one ATR above the low and one ATR below the high at all times—and this can be used for comparison).
█ FEATURES
Provides an algorithm to plot the most reasonable intraday ATR top/bottom limits based on currently available information
Dynamically adapts limits as the price evolves during the day
Works correctly and consistently on both RTH and ETH charts
Has a user-selected ADR mode to base the limits on ADR instead of ATR
Option to include the current pre-market and previous day's post-market range in the calculation
Configurable ATR/ADR averaging length
Provides a visual smoothing option
Provides an information box showing the current numerical ATR/ADR values
Reasonable defaults that work well if the user changes nothing
Well-documented, high-quality, open-source code for those interested
█ HOW TO USE
At a minimum, there is nothing that needs to be set. The defaults work well. The ATR top line (red, configurable) gives you the most reasonable move given the currently available information. The line will move away from the price as the price approaches it; that is normal—it is reacting to new information. This happens until the ATR bottom limit hits the lower of the daily low and the previous day's close (in ATR mode). The ATR bottom line (green, configurable) works the same way, with reversed logic.
There is an option to use ADR instead of ATR. The ATR includes the previous day's RTH close in the range, whereas ADR does not. Another option allows the user to add the current day's pre-market range or the previous day's post-market into the current day's range, which has an effect if either of those went outside of today's RTH range, plus yesterday's RTH close (in the default ATR mode). Pre-market and post-market range is not typically included in the daily true range, so only change it if you really know you want it.
█ CONCEPTS
Most traditional ATR limit indicators plot the top ATR limit one ATR above the current daily low, and the bottom ATR limit one ATR below the current daily high. This indicator can also do that (in "basic" mode), but its value lies in its default "auto" mode, which uses an algorithm to dynamically adapt the ATR limits throughout the day, keeping them one ATR apart at all times. It tries to plot the most sensible ATR limits based on the current daily ATR, in order to provide a reasonable visual intraday target, given the available information at that point in time.
"Auto" mode is actually a weighted average of two methods: midpoint and relative (both of which can also be explicitly selected). The midpoint method places the midpoint of the ATR limit equal to the midpoint of the currently established daily range. The relative method measures the currently established daily range and calculates the position of the current price within it (as a ratio between 0 and 1). It then uses that value as a weight in a weighted average of extreme locations for the ATR limits, which are: the ATR top anchored to one ATR above the daily low, and the ATR bottom anchored to one ATR below the daily high.
The relative method is more advanced and better for most of the day; however, it can cause wild swings in the early market or pre-market before a reasonable range (as a percentage of ATR) has been established. "Auto" mode therefore takes another weighted average between the two methods, with the weight determined by the percentage of the ATR currently established within the day, more strongly weighting the calmer midpoint method before a good range is established. Once the full ATR has been achieved, the algorithm in "auto" mode will have fully switched to the relative method and will remain with that method for the rest of the day.
To explain the effect further, as an example, imagine that the price is approaching the full ATR range on the high side. At this point, the indicator will have almost fully transitioned to the second (relative) method. The lower ATR limit will now be anchored to the daily low as the price hits the upper ATR limit. If the price goes beyond the upper ATR, the lower ATR limit will stay anchored to the daily low, and the upper limit will stay anchored to one ATR above the lower limit. This allows you to see how far the price is going beyond the upper ATR limit. If the price then returns and backs off the upper ATR limit, the lower ATR limit will un-anchor from the daily low (it will actually rise, since the daily ATR range has been exceeded, so the lower ATR limit needs to come up because the actual daily range can’t fit into the ATR range anymore). The overall effect is to give you the best visual indication of where the price is in relation to a possible upper ATR-based target. Reverse this example for when the price low approaches the ATR range on the low side.
Care was taken so that the code uses no hard-coded time zones, exchanges, or session times. For this reason, it can in principle work globally. However, it very much depends on the information provided by the exchange, which is reflected in built-in Pine Script variables (see Limitations below).
█ LIMITATIONS
The indicator was developed for US/European equities and is tested on them only. It is also known to work on US futures; in this case, the whole 23-hour session is used, and the "Sessions to include in range" setting has no effect. It may or may not work as intended on security types and equities/futures for other countries.
