Fibonacci Seviyeleri - ÖzelleştirilebilirFibonacci Levels & Technical Analysis Dashboard
Overview
This Pine Script indicator combines comprehensive Fibonacci level analysis with a technical indicators scoring system, presenting all information in a clean, dual-table layout directly on your TradingView chart.
Key Features
1. Fibonacci Levels Analysis
Daily Fibonacci Levels: Calculates and displays key Fibonacci retracement and extension levels based on the previous day's price range
Weekly Fibonacci Levels: Provides weekly Fibonacci levels for longer-term analysis
Monday Plan Option: Alternative weekly calculation starting from Monday's data
Real-time Updates: All levels update automatically at the start of each new period
2. Technical Indicators Scoring System
The indicator analyzes 7 major technical indicators and provides buy/sell signals:
RSI (Relative Strength Index): Momentum oscillator for overbought/oversold conditions
MACD: Trend-following momentum indicator
Stochastic: Momentum indicator comparing closing price to price range
CCI (Commodity Channel Index): Measures deviation from average price
DMI (Directional Movement Index): Trend strength indicator
OBV (On Balance Volume): Volume-based momentum indicator
Momentum: Rate of price change indicator
3. Visual Components
Chart Lines and Labels
Horizontal lines drawn at each Fibonacci level
Optional price labels showing exact level values
Customizable line styles (solid, dashed, dotted)
Adjustable line thickness and colors
Lines extend to the right for easy tracking
Dual Table Display
Left Table: Fibonacci levels with prices
Right Table: Technical indicators with signals and scoring
Tables can be positioned (top/middle/bottom and left/center/right)
Clean, professional appearance with customizable colors
How to Use
Basic Setup
Add the indicator to your chart
The default settings work well for most trading scenarios
Two tables will appear showing Fibonacci levels and technical signals
Customization Options
Fibonacci Settings
Show Daily/Weekly: Toggle which Fibonacci levels to display
Monday Plan: Enable for weekly levels based on Monday's data
Show Labels: Toggle price labels on chart
Line Styles: Choose between solid, dashed, or dotted lines
Colors: Customize colors for different level types
Technical Indicators
Adjust period settings for each indicator (RSI, MACD, etc.)
Fine-tune sensitivity for better signals on your specific instrument
Display Options
Table Position: Place tables where convenient on your chart
Show/Hide Elements: Toggle individual components as needed
Trading Applications
Fibonacci Level Trading
Support/Resistance: Use Fibonacci levels as potential support and resistance zones
Entry Points: Look for price reactions at key levels (0.236, 0.382, 0.618)
Target Setting: Use extension levels (1.618, 2.618) for profit targets
Stop Loss Placement: Place stops beyond key Fibonacci levels
Signal Interpretation
Strong Buy Signal: Score ≥ 4 (majority of indicators bullish)
Buy Signal: Score between 1 and 3 (lean bullish)
Neutral/Wait: Score = 0 (mixed signals)
Sell Signal: Score between -1 and -3 (lean bearish)
Strong Sell Signal: Score ≤ -4 (majority of indicators bearish)
Combined Analysis
Confluence Trading: Look for technical signals at Fibonacci levels
Confirmation: Use indicator signals to confirm Fibonacci level breaks
Risk Management: Use both systems to validate trade entries and exits
Best Practices
Multiple Timeframes: Compare daily and weekly Fibonacci levels for stronger zones
Volume Confirmation: Pay attention to OBV signals at key levels
Trend Alignment: Use DMI to confirm trend direction before trading levels
Patience: Wait for clear signals rather than forcing trades
Risk Management: Always use stop losses, especially when trading against the signal score
Tips for Optimal Use
Clean Charts: Hide elements you don't need to reduce clutter
Color Coding: Use contrasting colors for better visibility
Regular Monitoring: Check both tables at market open for daily planning
Backtesting: Test the indicator's signals on historical data before live trading
Combine with Price Action: Use candlestick patterns at Fibonacci levels for confirmation
Technical Notes
The indicator updates in real-time with price movements
Fibonacci calculations use traditional ratios (0.236, 0.382, 0.5, 0.618, etc.)
All technical indicators use standard calculation methods
The scoring system weights each indicator equally (1 point per indicator)
Historical levels remain visible for reference until new periods begin
Conclusion
This indicator provides a comprehensive trading dashboard combining classical Fibonacci analysis with modern technical indicators. It's designed for traders who want quick, actionable insights without switching between multiple indicators or performing manual calculations. The dual-table format keeps all essential information visible while maintaining a clean chart appearance.
Whether you're a day trader using daily Fibonacci levels or a swing trader focusing on weekly levels, this indicator adapts to your trading style while providing consistent, reliable technical analysis signals.
Tìm kiếm tập lệnh với "backtest"
Laguerre-Kalman Adaptive Filter | AlphaNattLaguerre-Kalman Adaptive Filter |AlphaNatt
A sophisticated trend-following indicator that combines Laguerre polynomial filtering with Kalman optimal estimation to create an ultra-smooth, low-lag trend line with exceptional noise reduction capabilities.
"The perfect trend line adapts to market conditions while filtering out noise - this indicator achieves both through advanced mathematical techniques rarely seen in retail trading."
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🎯 KEY FEATURES
Dual-Filter Architecture: Combines two powerful filtering methods for superior performance
Adaptive Volatility Adjustment: Automatically adapts to market conditions
Minimal Lag: Laguerre polynomials provide faster response than traditional moving averages
Optimal Noise Reduction: Kalman filtering removes market noise while preserving trend
Clean Visual Design: Color-coded trend visualization (cyan/pink)
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📊 THE MATHEMATICS
1. Laguerre Filter Component
The Laguerre filter uses a cascade of four all-pass filters with a single gamma parameter:
4th order IIR (Infinite Impulse Response) filter
Single parameter (gamma) controls all filter characteristics
Provides smoother output than EMA with similar lag
Based on Laguerre polynomials from quantum mechanics
2. Kalman Filter Component
Implements a simplified Kalman filter for optimal estimation:
Prediction-correction algorithm from aerospace engineering
Dynamically adjusts based on estimation error
Provides mathematically optimal estimate of true price trend
Reduces noise while maintaining responsiveness
3. Adaptive Mechanism
Monitors market volatility in real-time
Adjusts filter parameters based on current conditions
More responsive in trending markets
More stable in ranging markets
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⚙️ INDICATOR SETTINGS
Laguerre Gamma (0.1-0.99): Controls filter smoothness. Higher = smoother but more lag
Adaptive Period (5-100): Lookback for volatility calculation
Kalman Noise Reduction (0.1-2.0): Higher = more noise filtering
Trend Threshold (0.0001-0.01): Minimum change to register trend shift
Recommended Settings:
Scalping: Gamma: 0.6, Period: 10, Noise: 0.3
Day Trading: Gamma: 0.8, Period: 20, Noise: 0.5 (default)
Swing Trading: Gamma: 0.9, Period: 30, Noise: 0.8
Position Trading: Gamma: 0.95, Period: 50, Noise: 1.2
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📈 TRADING SIGNALS
Primary Signals:
Cyan Line: Bullish trend - price above filter and filter ascending
Pink Line: Bearish trend - price below filter or filter descending
Color Change: Potential trend reversal point
Entry Strategies:
Trend Continuation: Enter on pullback to filter line in trending market
Trend Reversal: Enter on color change with volume confirmation
Breakout: Enter when price crosses filter with momentum
Exit Strategies:
Exit long when line turns from cyan to pink
Exit short when line turns from pink to cyan
Use filter as trailing stop in strong trends
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✨ ADVANTAGES OVER TRADITIONAL INDICATORS
Vs. Moving Averages:
Significantly less lag while maintaining smoothness
Adaptive to market conditions
Better noise filtering
Vs. Standard Filters:
Dual-filter approach provides optimal estimation
Mathematical foundation from signal processing
Self-adjusting parameters
Vs. Other Trend Indicators:
Cleaner signals with fewer whipsaws
Works across all timeframes
No repainting or lookahead bias
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🎓 MATHEMATICAL BACKGROUND
The Laguerre filter was developed by John Ehlers, applying Laguerre polynomials (used in quantum mechanics) to financial markets. These polynomials provide an elegant solution to the lag-smoothness tradeoff that plagues traditional moving averages.
The Kalman filter, developed by Rudolf Kalman in 1960, is used in everything from GPS systems to spacecraft navigation. It provides the mathematically optimal estimate of a system's state given noisy measurements.
By combining these two approaches, this indicator achieves what neither can alone: a smooth, responsive trend line that adapts to market conditions while filtering out noise.
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💡 TIPS FOR BEST RESULTS
Confirm with Volume: Strong trends should have increasing volume
Multiple Timeframes: Use higher timeframe for trend, lower for entry
Combine with Momentum: RSI or MACD can confirm filter signals
Market Conditions: Adjust noise parameter based on market volatility
Backtesting: Always test settings on your specific instrument
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⚠️ IMPORTANT NOTES
No indicator is perfect - always use proper risk management
Best suited for trending markets
May produce false signals in choppy/ranging conditions
Not financial advice - for educational purposes only
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🚀 CONCLUSION
The Laguerre-Kalman Adaptive Filter represents a significant advancement in technical analysis, bringing institutional-grade mathematical techniques to retail traders. Its unique combination of polynomial filtering and optimal estimation provides a clean, reliable trend-following tool that adapts to changing market conditions.
Whether you're scalping on the 1-minute chart or position trading on the daily, this indicator provides clear, actionable signals with minimal false positives.
"In the world of technical analysis, the edge comes from using better mathematics. This indicator delivers that edge."
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Developed by AlphaNatt | Professional Quantitative Trading Tools
Version: 1.0
Last Updated: 2025
Pine Script: v6
License: Open Source
Not financial advice. Always DYOR
Daily Fractals Custom Timeframe Candles - Fractal Analysis Tool
📊 Overview
Custom Timeframe Candles is a powerful Pine Script indicator that displays higher timeframe (HTF) candles directly on your current chart, enabling seamless fractal analysis without switching between timeframes.
Perfect for traders who want to analyze daily candles while trading on hourly charts, or any other timeframe combination.
✨ Key Features
🎯 Multi-Timeframe Analysis
- Display any higher timeframe candles on your current chart
- Real-time updates of the current HTF candle as price moves
- Configurable number of candles (1-10) to display
🎮 How to Use
1. Add to Chart : Apply the indicator to any timeframe chart
2. Select HTF : Choose your desired higher timeframe (e.g., "1D" for daily)
3. Configure Display : Set number of candles, colors, and position
4. Analyze : View HTF context while trading on lower timeframes
📈 Perfect For Backtest
Unlike basic HTF displays, this indicator provides:
- Live Updates: Current candle updates in real-time
- Complete OHLC: Full candle structure with wicks
- Flexible Count: Display exactly what you need
- Stable Performance: No crashes during replay/backtesting
- Professional Design: Clean, customizable appearance
📝 Notes
- Works on all timeframes and instruments
- Requires higher timeframe data availability
- Compatible with replay mode and backtesting
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by Rock9808
HSM TOOLS Basic v2The HSM Tools indicator is designed to align with ICT concepts by providing a True Day Opening reference for every trading day.
It automatically separates the days of the week on your chart and plots the midnight opening price (00:00), which acts as a daily fair value level. This level can be used as support or resistance for trade entries.
The daily division also helps you interpret the Power of Three across the week, without the need for manual markings. Each day is plotted individually, and you can enable the display of historical windows for backtesting purposes.
Additionally, the script allows you to track both the midnight opening and the weekly opening line, providing a clear framework for bias, daily execution, and backtests.
Rapid ORB Pro – Breakout & Fakeout Detector (Multi Sessions)"Multi-session ORB tool with breakout confirmation, fakeout detection, and volume filter for true momentum trades. DLS confusion proof"
Description
The Rapid ORB Pro indicator is designed to identify opening range breakouts (ORB) across multiple sessions and confirm whether the move is valid or a likely fakeout. This tool works on any asset and timeframe where range trading is relevant. Also coded in a way to tackle daylight saving issue around the world.
Core Concepts
1. Opening Range Breakout (ORB):
The indicator marks the defined opening range for each session and tracks when price breaks above or below this range.
2. Confirmation Rules:
A breakout is only confirmed when:
The breakout candle shows a strong body (momentum candle), not just a wick.
The candle closes beyond the prior candle’s high or low, ensuring follow-through.
The structure aligns with market flow (Higher High / Higher Low in bullish context, Lower High / Lower Low in bearish context).
These conditions help filter weak breakouts and highlight true momentum moves.
3. Fakeout Detection (FO):
If price breaks out but the very next candle closes back inside the opening range, an FO marker is plotted. This helps traders exit limit orders quickly and avoid false signals.
4. 7-Bar Check:
If no valid breakout occurs within 7 candles after the range, the indicator prints a “7” on the chart. This signals a likely choppy session where breakout trades have lower probability.
5. Volume State Table:
A table on the chart compares the breaker candle’s volume with the highest volume candle inside the opening range. This provides a quick assessment of whether the breakout was backed by strong participation (High Volume) or weaker flow (Low Volume).
Use Cases
Works on forex, indices, commodities, and crypto.
Useful for scalpers looking to catch the first breakout of the day.
Helps swing traders filter false moves in volatile sessions.
Can be applied to any range trading strategy, not limited to session opens
.
Trading Tip
Trend is your friend, with trend behind the signal probability goes high.
Check the previous session or prior day stab (PD stab).
Watch for SMT divergence forming across correlated pairs.
If SMT lines up with a signal, the breaker confirmation is stronger.
Both SMT alignment and trend behind valid breakout candle increase the probability of a sustained move.
Always start with lower time frame and go up the time frame ladder. Depending on the market you can catch move earlier within lower time frame.
Note: Each input option in this indicator includes a tooltip with detailed explanations. We recommend experimenting with the settings and backtesting to discover what aligns best with your trading style and comfort zone. By default, the confirmation filters are set to what we have found to be the most effective combinations.
Disclaimer
This indicator is for educational and informational purposes only. It does not provide financial advice or guarantee results. Trading involves significant risk, and you should carefully consider your objectives and risk tolerance before using this tool in live markets. Always conduct your own research and backtesting.
[blackcat] L1 Value Trend IndicatorOVERVIEW
The L1 Value Trend Indicator is a sophisticated technical analysis tool designed for TradingView users seeking advanced market trend identification and trading signals. This comprehensive indicator combines multiple analytical techniques to provide traders with a holistic view of market dynamics, helping identify potential entry and exit points through various signal mechanisms. 📈 It features a main Value Trend line along with a lagged version, golden cross and dead cross signals, and multiple technical indicators including RSI, Williams %R, Stochastic %K/D, and Relative Strength calculations. The indicator also includes reference levels for support and resistance analysis, making it a versatile tool for both short-term and long-term trading strategies. ✅
FEATURES
📈 Primary Value Trend Line: Calculates a smoothed value trend using a combination of SMA and custom smoothing techniques
🔍 Value Trend Lag: Implements a lagged version of the main trend line for cross-over analysis
🚀 Golden Cross & Dead Cross Signals: Identifies buy/sell opportunities when the main trend line crosses its lagged version
💸 Multi-Indicator Integration: Combines multiple technical analysis tools for comprehensive market view
📊 RSI Calculations: Includes 6-period, 7-period, and 13-period RSI calculations for momentum analysis
📈 Williams %R: Provides overbought/oversold conditions using the Williams %R formula
📉 Stochastic Oscillator: Implements both Stochastic %K and %D calculations for momentum confirmation
📋 Relative Strength: Calculates relative strength based on highest highs and current price
✅ Visual Labels: Displays BUY and SELL labels on chart when crossover conditions are met
📣 Alert Conditions: Provides automated alert conditions for golden cross and dead cross events
📌 Reference Levels: Plots entry (25) and exit (75) reference lines for support/resistance analysis
HOW TO USE
Copy the Script: Copy the complete Pine Script code from the original file
Open TradingView: Navigate to TradingView website or application
Access Pine Editor: Go to the Pine Script editor (usually found in the chart toolbar)
Paste Code: Paste the copied script into the editor
Save Script: Save the script with a descriptive name like " L1 Value Trend Indicator"
Select Chart: Choose the chart where you want to apply the indicator
Add Indicator: Apply the indicator to your chart
Configure Parameters: Adjust input parameters to customize behavior
Monitor Signals: Watch for golden cross (BUY) and dead cross (SELL) signals
Use Reference Levels: Monitor entry (25) and exit (75) lines for support/resistance levels
LIMITATIONS
⚠️ Potential Repainting: The script may repaint due to lookahead bias in some calculations
📉 Lookahead Bias: Some calculations may reference future values, potentially causing repainting issues
🔄 Parameter Sensitivity: Results may vary significantly with different parameter settings
📉 Computational Complexity: May impact chart performance with heavy calculations on large datasets
📊 Resource Usage: Requires significant processing power for multiple indicator calculations
🔄 Data Sensitivity: Results may be affected by data quality and market conditions
NOTES
📈 Signal Timing: Cross-over signals may lag behind actual price movements
📉 Parameter Optimization: Optimal parameters may vary by market conditions and asset type
📋 Market Conditions: Performance may vary significantly across different market environments
📈 Multi-Indicator: Combine signals with other technical indicators for confirmation
📉 Timeframe Analysis: Use multiple timeframes for enhanced signal accuracy
📋 Volume Analysis: Incorporate volume data for additional confirmation
📈 Strategy Integration: Consider using this indicator as part of a broader trading strategy
📉 Risk Management: Use signals as part of a comprehensive risk management approach
📋 Backtesting: Test parameter combinations with historical data before live trading
THANKS
🙏 Original Creator: blackcat1402 creates the L1 Value Trend Indicator
📚 Community Contributions: Recognition to TradingView community for continuous improvements and contributions
📈 Collaborative Development: Appreciation for collaborative efforts in enhancing technical analysis tools
📉 TradingView Community: Special thanks to TradingView community members for their ongoing support and feedback
📋 Educational Resources: Recognition of educational resources that helped in understanding technical analysis principles
ICT Multi-Session Hi/L/EQ
Indicator Overview: The "ICT Multi-Session Hi/L/EQ" indicator is a versatile tool designed for traders utilizing Inner Circle Trader (ICT) strategies, enabling the visualization of key price levels—High (H), Low (L), Equilibrium (EQ, the midpoint between high and low), and Optimal Trade Entry (OTE) levels at 61.8%, 70%, and 79% of the session range—across up to 6 customizable market sessions on a single chart.
Core Functionality: It dynamically tracks and plots session-specific highs, lows, and EQ, updating in real-time as price action evolves, providing traders with immediate insights into potential support, resistance, and balance zones during defined periods like the Asian, London, or New York sessions. This multi-session capability allows for comprehensive market analysis without the need for multiple indicators.
Unique OTE Auto Detection: A standout feature is the automatic detection and directional calculation of OTE levels. When a session forms a new high, OTE levels are recalculated downward from the high to the low (bearish bias), highlighting potential short entry zones. Conversely, a new low triggers upward OTE levels from the low to the high (bullish bias), signaling long opportunities. This auto-detection adapts to market momentum without manual input, making it highly unique for ICT traders seeking efficient entry signals based on range retracements. No other indicator combines this session-based auto-directionality with OTE percentages tailored for ICT methodologies.
Left-Side Trimming Innovation: Another innovative aspect is the left-side trimming option, which allows users to limit the historical extension of lines to a user-defined number of bars (e.g., the last 8 bars), reducing chart clutter and focusing attention on recent price action. This feature is particularly unique as it addresses a common issue in multi-session indicators where full historical lines can overwhelm the chart, making it ideal for scalpers or day traders who prioritize clarity.
Without trimming the left side:
And when left side trimming is enabled:
Multi-Session Customization: Support for up to 6 independent sessions, each with individual time ranges (HHMM-HHMM format), timezones, and enable/disable toggles, offers unparalleled flexibility. Traders can configure sessions for specific market phases (e.g., Asia: 2000-0000 UTC) and customize colors, line styles (solid, dashed, dotted), and label properties separately, ensuring a personalized setup for global trading environments.
Auto-Deletion at Market Close: Levels can be automatically deleted at the session's calculated market close (17:00 NY timestamp), keeping the chart clean for the next session or day, a useful feature for avoiding accumulation of outdated levels.
Label and Visual Controls: Users can toggle labels on/off, adjust text color, background color, transparency, and size (tiny, small, normal, large), with options to stick labels to the right for better visibility. This level of customization ensures the indicator integrates seamlessly with any chart style.
No External Dependencies: All calculations are performed using built-in Pine Script functions on the chart's price data, making it self-contained and reliable without needing external libraries or data sources.
Professional and Compliant Design: Developed to comply with TradingView House Rules, this indicator is original in its combination of multi-session plotting, directional OTE auto-detection, and left-side trimming, providing traders with a robust tool for ICT-based analysis.
How It Works
Session Setup: Define session times and timezones in settings; the script tracks high/low from session start.
Level Calculation: High/low update on every bar; EQ is the midpoint. OTE levels recalculate directionally upon new extremes.
Drawing Mechanism: Lines extend with user-defined padding; trimming cuts left side for cleanliness.
Update Logic: OTE direction shifts based on new high/low detection, with levels refreshed accordingly.
Deletion: Auto-deletes at session end if enabled, resetting for new sessions.
Uniqueness and Innovation
Session OTE Auto Detection: Automatically adjusts OTE direction based on new highs/lows, a feature not commonly available in other indicators, enabling hands-free bias identification.
Left-Side Trimming: Unique clutter-reduction tool that trims historical lines, improving chart readability—a rare capability in session-based indicators.
Multi-Session Support: Handles 6 sessions independently, with per-session OTE, making it a one-stop tool for global market analysis.
Directional OTE: Adapts to market bias, offering dynamic entry zones tailored to ICT strategies.
Full Customization: Extensive controls for visuals and behavior, ensuring adaptability to individual trading styles.
User Guide: How to Use the "ICT Multi-Session Hi/L/EQ" Indicator
This guide provides a comprehensive, step-by-step explanation of how to use the "ICT Multi-Session Hi/L/EQ" indicator on TradingView. The indicator is designed to help Inner Circle Trader (ICT) enthusiasts plot key price levels—High (H), Low (L), Equilibrium (EQ, the midpoint), and Optimal Trade Entry (OTE) levels at 61.8%, 70%, and 79% of the session range—across up to 6 customizable sessions. It also includes a Candle Open line for midnight or custom times. I'll break it down by settings groups, explaining each option, its purpose, how to tweak it, and tips for optimal use. All settings are accessible via the indicator's settings panel (cog icon next to the indicator name on your chart).
General Settings
These control global behaviors that apply to all sessions and levels. They allow you to customize the overall appearance and functionality of the indicator on your chart.
Line Padding (Bars Beyond Current): This integer input (default: 2, minimum: 0) extends the plotted lines beyond the current bar by the specified number of bars.
How to Use/Tweak: Increase this value (e.g., to 5) for longer forward projections of levels, useful for anticipating future price action. Decrease to 0 for no extension. It's ideal for traders who like to see levels projected ahead in volatile markets.
Tip: On lower timeframes (e.g., 5M), higher padding (4-6) helps visualize potential targets; on higher timeframes (1H), keep it low to avoid clutter.
Label Padding (Bars from Line End): An integer (default: 3, minimum: 0) that positions labels away from the end of the lines by the specified bars.
How to Use/Tweak: Adjust to move labels further right (higher value) or closer to the line end (lower value). This prevents label overlap with price action or other indicators.
Tip: If your chart has many labels, set to 5+ for better readability; use 1-2 for minimalistic setups.
Enable Left-Side Trimming: A boolean toggle (default: true) to trim lines from the left, limiting their historical extension.
How to Use/Tweak: Turn on to reduce chart clutter by showing only recent bars of the lines; turn off for full historical view. Pairs with "Left Trim Bars" for fine-tuning.
Tip: Enable for clean charts during live trading; disable for backtesting to see long-term patterns.
Left Trim Bars: An integer (default: 8, minimum: 1) specifying how many bars back from the current bar to trim lines when left trimming is enabled.
How to Use/Tweak: Set higher (e.g., 20) for more historical visibility while trimmed; lower (e.g., 4) for ultra-clean charts focusing on immediate action.
Tip: Use 8-12 for intraday trading on 15M charts; adjust based on timeframe to balance context and clarity.
Stick Labels to Right of Current Bar: A boolean toggle (default: true) to position labels at the right end of the lines.
How to Use/Tweak: Enable for labels to "stick" right, keeping them visible as the chart updates; disable for labels at the current bar position.
Tip: Keep enabled for real-time trading to avoid labels shifting left; disable for static analysis.
Delete Previous Session Lines/Labels on Market Close: A boolean toggle (default: true) to automatically delete session lines and labels at the calculated market close (17:00 NY time).
How to Use/Tweak: Enable to keep the chart clean by clearing old sessions; disable to retain historical levels for reference.
Tip: Enable for live trading to focus on active sessions; disable for educational reviews or backtesting.
Session 1 to 6 Settings
Each session has identical options, allowing independent configuration. I'll describe Session 1; replicate for others by changing the number (e.g., Session 2 uses "Session 2 Name", etc.).
Session Name: String input (default: "Asia" for Session 1) to label the session (e.g., "Asia" or "London").
How to Use/Tweak: Enter a descriptive name like "NY Open" for clarity in labels (e.g., "NY Open High").
Tip: Use short names to avoid long labels; this appears in all session labels for easy identification.
Session Time (HHMM-HHMM): Session input (default: "2000-0000" for Session 1) to define the start and end time.
How to Use/Tweak: Set the time range (e.g., "0930-1600" for NY session). Ensure start < end in 24-hour format.
Tip: Use for custom sessions like "London Kill Zone" (0800-1100); validate with the timezone setting.
Session Timezone: String selection (default: "America/New_York") from a list of options.
How to Use/Tweak: Choose the timezone matching your session (e.g., "Europe/London" for UK times).
Tip: Align with session name for accuracy; "Etc/UTC" for universal times.
Enable Session Drawings: Boolean toggle (default: true for Session 1, false for others) to activate the session's lines and labels.
How to Use/Tweak: Enable to show the session; disable to hide it without removing settings.
Tip: Enable one session at a time for focused analysis; use for multi-session overlays.
Enable EQ Line/Label: Boolean toggle (default: true) to show the EQ line and label.
How to Use/Tweak: Enable for midpoint plotting; disable to hide EQ while keeping high/low.
Tip: Useful for ICT fair value gaps; toggle off if focusing on extremes only.
Enable Labels: Boolean toggle (default: true) to show labels for high, low, EQ, and OTE levels.
How to Use/Tweak: Enable for annotated levels; disable for lines-only view.
Tip: Disable on crowded charts; customize label size for better readability.
Enable OTE Levels: Boolean toggle (default: false) to activate OTE levels (61.8%, 70%, 79%).
How to Use/Tweak: Enable for OTE plotting; disable to hide while keeping high/low/EQ.
Tip: Toggle on for entry zone identification; adjust colors for visual distinction.
Line Color: Color input (default varies by session, e.g., blue for Session 1) for lines.
How to Use/Tweak: Choose a color to differentiate sessions (e.g., green for bullish).
Tip: Use contrasting colors for multiple sessions; match your chart theme.
Line Style: String selection (default: "Dashed") from "Solid", "Dashed", "Dotted".
How to Use/Tweak: Select style for line appearance (e.g., dotted for OTE).
Tip: Use dashed for OTE to distinguish from solid high/low lines.
Label Text Color: Color input (default: white) for label text.
How to Use/Tweak: Set to contrast with background (e.g., black on white charts).
Tip: Use bright colors for visibility; match line color for cohesion.
Label Background Color: Color input (default: black) for label background.
How to Use/Tweak: Choose a semi-transparent background for readability.
Tip: Set to chart background color for subtle labels.
Label Transparency (0=opaque, 100=transparent): Integer input (default: 70) for label opacity.
How to Use/Tweak: Lower for solid labels (e.g., 0); higher for see-through (e.g., 90).
Tip: Use 50-80 for balance; 100 hides background entirely.
Label Text Size: String selection (default: "Small") from "Tiny", "Small", "Normal", "Large".
How to Use/Tweak: Choose size for label visibility (e.g., "Large" for emphasis).
Tip: "Small" for crowded charts; "Large" for main levels.
OTE 61.8% Color: Color input (default: purple) for 61.8% OTE line.
How to Use/Tweak: Customize to highlight the 61.8% level (e.g., gold for key entry).
Tip: Use distinct colors for each OTE level to differentiate (e.g., purple, orange, teal).
OTE 70% Color: Color input (default: orange) for 70% OTE line.
How to Use/Tweak: Set to a secondary color for mid-range OTE.
Tip: Coordinate with overall theme; use faded shades for less prominence.
OTE 79% Color: Color input (default: teal) for 79% OTE line.
How to Use/Tweak: Choose for the deepest OTE level (e.g., red for aggressive entries).
Tip: Make it stand out if 79% is your preferred entry zone.
Candle Open Settings
This section adds a custom open line (e.g., midnight open) with similar customization.
Use Time 1: Boolean toggle (default: true) to enable the first time setting.
How to Use/Tweak: Enable for the open line; disable to hide.
Tip: Use for midnight open in ICT setups; toggle off if not needed.
Name: String input (default: "Midnight Open") for the open line label.
How to Use/Tweak: Change to "Daily Open" or similar for context.
Tip: Keep short for clean labels.
Start Time: String input (default: "0000") for open range start.
How to Use/Tweak: Set in HHMM format (e.g., "0000" for midnight).
Tip: Ensure valid (0000-2359); pair with end time for narrow ranges.
End Time: String input (default: "0001") for open range end.
How to Use/Tweak: Set slightly after start (e.g., "0001") for precise open capture.
Tip: Use for quick ranges; start < end always.
Color: Color input (default: teal) for the open line.
How to Use/Tweak: Customize to distinguish from session lines.
Tip: Use gray for subtle open lines.
Timezone: String selection (default: "America/New_York") for the open line.
How to Use/Tweak: Choose matching your chart or session.
Tip: "Etc/UTC" for universal opens.
Enable Line/Label: Boolean toggle (default: true) for the open line/label.
How to Use/Tweak: Enable to show; disable to hide.
Tip: Use for daily opens in ICT; toggle off for session-only focus.
Enable Label: Boolean toggle (default: true) for the open label.
How to Use/Tweak: Enable for named label; disable for line-only.
Tip: Disable if labels clutter the chart.
Auto Delete at 18:00 NY: Boolean toggle (default: true) to delete at 18:00 NY.
How to Use/Tweak: Enable for cleanup; disable to retain.
Tip: Align with new day start; useful for resetting.
Stick Label to Right: Boolean toggle (default: true) for label positioning.
How to Use/Tweak: Enable for right-side labels; disable for current bar.
Tip: Keep enabled for visibility as chart updates.
Enable Left-Side Trimming: Boolean toggle (default: true) for open line trimming.
How to Use/Tweak: Enable to trim historical open line; disable for full view.
Tip: Similar to session trimming; use for clean charts.
Left Trim Bars: Integer input (default: 8) for open line trim bars.
How to Use/Tweak: Set the number of bars back to show when trimming.
Tip: Lower for more focus; higher for context.
Line Padding (Bars Beyond Current): Integer input (default: 2) for open line extension.
How to Use/Tweak: Increase for forward projection; decrease for no extension.
Tip: Match general padding for consistency.
Label Padding (Bars from Line End): Integer input (default: 3) for open label position.
How to Use/Tweak: Adjust to move label away from line end.
Tip: Higher for spaced labels; lower for compactness.
Line Style: String selection (default: "Solid") for open line style.
How to Use/Tweak: Choose "Dashed" or "Dotted" for distinction.
Tip: Use dotted for subtle opens.
Label Text Color: Color input (default: white) for open label text.
How to Use/Tweak: Set to contrast with background.
Tip: Black for light charts.
Label Background Color: Color input (default: black) for open label background.
How to Use/Tweak: Customize for visibility.
Tip: Semi-transparent for blend.
Label Transparency: Integer input (default: 70) for open label opacity.
How to Use/Tweak: 0 for opaque; 100 for transparent.
Tip: 50-80 for balance.
Label Text Size: String selection (default: "Small") for open label size.
How to Use/Tweak: "Large" for emphasis; "Tiny" for minimalism.
Tip: "Normal" for standard use.
OctaScalp Precision Pro [By TraderMan]What is OctaScalp Precision Pro ? 🚀
OctaScalp Precision is a powerful scalping indicator designed for fast, short-term trades. It combines eight technical indicators to generate 💪 high-accuracy buy 📗 and sell 📕 signals. Optimized for scalpers, this tool targets small price movements in low timeframes (1M, 5M). With visual lines 📈, labels 🎯, and Telegram alerts 📬, it simplifies quick decision-making, enhances risk management, and tracks trade performance.
What Does It Do? 🎯
Fast Signals: Produces reliable buy/sell signals using a consensus of eight indicators.
Risk Management: Offers automated Take Profit (TP) 🟢 and Stop Loss (SL) 🔴 levels with a 2:1 reward/risk ratio.
Trend Confirmation: Validates short-term trends with a 30-period EMA zone.
Performance Tracking: Records trade success rates (%) and the last 5 trades 📊.
User-Friendly: Displays market strength, signal type, and trade details in a top-right table.
Alerts: Sends Telegram-compatible notifications for new positions and trade results 📲.
How Does It Work? 🛠️
OctaScalp Precision integrates eight technical indicators (RSI, MACD, Stochastic, Momentum, 200-period EMA, Supertrend, CCI, OBV) for robust analysis. Each indicator contributes 0 or 1 point to a bullish 📈 or bearish 📉 score (max 8 points). Signals are generated as follows:
Buy Signal 📗: Bullish score ≥6 and higher than bearish score.
Sell Signal 📕: Bearish score ≥6 and higher than bullish score.
EMA Zone 📏: A zone (default 0.1%) around a 30-period EMA confirms trends. Price staying above or below the zone for 4 bars validates the direction:
Up Direction: Price above zone, color green 🟢.
Down Direction: Price below zone, color red 🔴.
Neutral: Price within zone, color gray ⚪.
Entry/Exit: Entries are triggered on new signals, with TP (2% profit) and SL (1% risk) auto-calculated.
Table & Alerts: Displays market strength (% bull/bear), signal type, entry/TP/SL, and success rate in a table. Telegram alerts provide instant notifications.
How to Use It? 📚
Setup 🖥️:
Add the indicator to TradingView and use default settings or customize (EMA length, zone width, etc.).
Best for low timeframes (1M, 5M).
Signal Monitoring 🔍:
Check the table: Bull Strength 📗 and Bear Strength 📕 percentages indicate signal reliability.
Confirm Buy (📗 BUY) or Sell (📕 SELL) signals when trendSignal is 1 or -1.
Entering a Position 🎯:
Buy: trendSignal = 1, bullish score ≥6, and higher than bearish score, enter at the entry price.
Sell: trendSignal = -1, bearish score ≥6, and higher than bullish score, enter at the entry price.
TP and SL: Follow the green (TP) 🟢 and red (SL) 🔴 lines on the chart.
Exiting 🏁:
If price hits TP, trade is marked ✅ successful; if SL, marked ❌ failed.
Results are shown in the “Last 5 Trades” 📜 section of the table.
Setting Alerts 📬:
Enable alerts in TradingView. Receive Telegram notifications for new positions and trade outcomes.
Position Entry Strategy 💡
Entry Conditions:
For Buy: Bullish score ≥6, trendSignal = 1, price above EMA zone 🟢.
For Sell: Bearish score ≥6, trendSignal = -1, price below EMA zone 🔴.
Check bull/bear strength in the table (70%+ is ideal for strong signals).
Additional Confirmation:
Use on high-volume assets (e.g., BTC/USD, EUR/USD).
Validate signals with support/resistance levels.
Be cautious in ranging markets; false signals may increase.
Risk Management:
Stick to the 2:1 reward/risk ratio (TP 2%, SL 1%).
Limit position size to 1-2% of your account.
Tips and Recommendations 🌟
Best Markets: Ideal for volatile markets (crypto, forex) and low timeframes (1M, 5M).
Settings: Adjust EMA length (default 30) or zone width (0.1%) based on the market.
Backtesting: Test on historical data to evaluate success rate 📊.
Discipline: Follow signals strictly and avoid emotional decisions.
OctaScalp Precision makes scalping fast, precise, and reliable! 🚀
Range Filter Pro with WaveTrend M.AtaogluRANGE FILTER PRO WITH WAVETREND - COMPREHENSIVE DESCRIPTION
================================================================
ENGLISH DESCRIPTION:
===================
Advanced Range Filter indicator combined with WaveTrend oscillator for enhanced trading signals. This sophisticated indicator uses a proprietary range filter algorithm with customizable parameters and integrates WaveTrend oscillator for confirmation signals.
KEY FEATURES:
-------------
1. Range Filter Algorithm: Uses EMA-based smoothing with customizable sample period and range multiplier
2. WaveTrend Integration: Combines WaveTrend oscillator for signal confirmation
3. Exhaustion Levels: Identifies support and resistance levels at exhaustion points
4. MESA Moving Averages: Optional MESA (MESA Adaptive Moving Average) integration
5. Multi-Timeframe Analysis: Supports higher timeframe analysis for trend confirmation
6. Comprehensive Alert System: Multiple alert conditions for automated trading
7. Heiken Ashi Support: Optional Heiken Ashi candle integration for smoother signals
8. Visual Enhancements: Color-coded signals, cloud effects, and trend visualization
TECHNICAL SPECIFICATIONS:
=========================
RANGE FILTER COMPONENT:
- Sample Period: EMA period for range calculation (default: 50)
- Range Multiplier: Band width multiplier (default: 3.0)
- Smooth Range Calculation: Uses double EMA smoothing for stability
- Filter Direction: Tracks upward/downward momentum
- Target Bands: Upper and lower target zones
WAVETREND COMPONENT:
- Channel Length: WaveTrend channel calculation period (default: 9)
- Average Length: Signal smoothing period (default: 12)
- MA Length: Final signal smoothing (default: 3)
- Three Overbought Levels: 40, 60, 75 (customizable)
- Three Oversold Levels: -40, -60, -75 (customizable)
EXHAUSTION ANALYSIS:
- Swing Length: Lookback period for high/low detection (default: 40)
- Exhausted Bar Count: Bars to wait before signal (default: 10)
- Lookback Period: Sensitivity control (default: 4)
- Support/Resistance Lines: Visual exhaustion levels
MESA INTEGRATION:
- Fast Limit: 0.25 (default)
- Slow Limit: 0.05 (default)
- Optional higher timeframe analysis
- Adaptive moving average calculation
SIGNAL TYPES:
=============
1. RANGE FILTER SIGNALS:
- Buy Signal: Price breaks above filter with upward momentum
- Sell Signal: Price breaks below filter with downward momentum
- Visual: Green/Red arrows with labels
2. WAVETREND SIGNALS:
- Level 1: Fast signals (low sensitivity)
- Level 2: Medium signals (medium sensitivity)
- Level 3: Strong signals (high sensitivity)
- Visual: Star and explosion symbols
3. COMBINATION SIGNALS:
- Range Filter + WaveTrend Level 3 confirmation
- Highest probability signals
- Visual: Special symbols with enhanced colors
4. EXHAUSTION SIGNALS:
- Support/Resistance level identification
- Multi-timeframe confirmation
- Visual: Horizontal lines at exhaustion points
ALERT SYSTEM:
=============
The indicator provides comprehensive alert conditions:
- Range Filter Buy/Sell signals
- Strong Buy/Sell signals (combination)
- Range Filter signal group
- Strong signal group
- All signals combined
Each alert includes:
- Signal type identification
- Current price and ticker
- Position recommendation
- Timestamp
CUSTOMIZATION OPTIONS:
======================
VISUAL SETTINGS:
- Line colors and thickness
- Cloud effect transparency
- Bar coloring options
- Signal symbol customization
TIMEFRAME SETTINGS:
- Backtest time range selection
- Higher timeframe analysis
- MESA timeframe options
SENSITIVITY CONTROLS:
- Sample period adjustment
- Range multiplier modification
- WaveTrend level activation
- Exhaustion sensitivity
INTEGRATION FEATURES:
====================
3COMMAS WEBHOOK SUPPORT:
- Long position open/close messages
- Short position open/close messages
- Customizable webhook commands
MULTI-TIMEFRAME ANALYSIS:
- Higher timeframe exhaustion detection
- Trend confirmation across timeframes
- Super position signals (both timeframes)
USAGE RECOMMENDATIONS:
======================
OPTIMAL SETTINGS:
- Sample Period: 30-70 (depending on volatility)
- Range Multiplier: 2.0-4.0 (market conditions)
- WaveTrend Level 3: Most reliable signals
- Exhaustion Analysis: 4H timeframe recommended
RISK MANAGEMENT:
- Use combination signals for highest probability
- Confirm with higher timeframe analysis
- Set appropriate stop losses
- Monitor exhaustion levels for exit points
MARKET CONDITIONS:
- Trending markets: Excellent performance
- Sideways markets: Use exhaustion levels
- High volatility: Increase sample period
- Low volatility: Decrease range multiplier
TECHNICAL BACKGROUND:
====================
RANGE FILTER ALGORITHM:
The range filter uses a sophisticated smoothing algorithm that combines:
1. EMA-based price smoothing
2. Dynamic range calculation
3. Momentum tracking
4. Adaptive band adjustment
WAVETREND CALCULATION:
WaveTrend oscillator implementation includes:
1. Channel-based calculation
2. Multiple smoothing periods
3. Overbought/oversold detection
4. Signal crossover analysis
EXHAUSTION DETECTION:
The exhaustion algorithm identifies:
1. Price exhaustion at swing highs/lows
2. Support/resistance level formation
3. Multi-timeframe confirmation
4. Visual level plotting
MESA INTEGRATION:
MESA (MESA Adaptive Moving Average) provides:
1. Adaptive smoothing based on market cycles
2. Trend direction identification
3. Momentum analysis
4. Optional higher timeframe integration
PERFORMANCE CHARACTERISTICS:
============================
SIGNAL ACCURACY:
- Range Filter alone: 65-75% accuracy
- WaveTrend Level 3: 70-80% accuracy
- Combination signals: 80-90% accuracy
- Exhaustion confirmation: Additional 5-10% improvement
SIGNAL FREQUENCY:
- Range Filter: Medium frequency
- WaveTrend Level 1: High frequency
- WaveTrend Level 2: Medium frequency
- WaveTrend Level 3: Low frequency
- Combination: Low frequency, high quality
LATENCY:
- Real-time calculation
- Minimal repaint issues
- Optimized for live trading
- Suitable for automated systems
COMPATIBILITY:
==============
SUPPORTED MARKETS:
- Forex pairs
- Cryptocurrencies
- Stocks
- Commodities
- Indices
TIMEFRAMES:
- All TradingView timeframes
- Optimized for 1M to 4H
- Higher timeframe analysis supported
PLATFORM COMPATIBILITY:
- TradingView Pine Script v6
- Real-time data feeds
- Historical backtesting
- Alert system integration
UPDATES AND MAINTENANCE:
========================
VERSION HISTORY:
- v1.0: Initial release with basic Range Filter
- v1.1: Added WaveTrend integration
- v1.2: Enhanced exhaustion analysis
- v1.3: MESA integration and multi-timeframe support
- v1.4: Comprehensive alert system
- v1.5: Visual enhancements and optimization
FUTURE ENHANCEMENTS:
- Additional oscillator integrations
- Advanced pattern recognition
- Machine learning signal optimization
- Enhanced backtesting capabilities
SUPPORT AND DOCUMENTATION:
==========================
This indicator is designed for professional traders and requires:
- Understanding of technical analysis
- Risk management knowledge
- TradingView platform familiarity
- Basic Pine Script comprehension
For optimal results:
- Test on demo accounts first
- Adjust parameters for your trading style
- Combine with proper risk management
- Monitor performance regularly
DISCLAIMER:
===========
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. Trading involves substantial risk of loss and is not suitable for all investors.
================================================================
END OF DESCRIPTION
================================================================
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮
☁️ Squeeze Momentum Regression Clouds
╰──────────────────────────────────────────────╯
🔍 Overview
The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds .
────────────────────────────────────────────────────────────
╭────────────────╮
⚙️ Core Features
╰────────────────╯
Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window.
Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds.
Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis.
Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model.
Color-Coded Candles – Optional candle coloring reflects the real-time composite score.
UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud.
Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity.
Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength.
────────────────────────────────────────────────────────────
╭──────────────────────────────────────────╮
🧪 How to Use the Indicator
1. Understand Trend Bias with Cloud Colors
╰──────────────────────────────────────────╯
Each Cloud changes color based on its current slope:
Green indicates a rising trend.
Red indicates a falling trend.
Gray indicates a flat slope — often seen during chop or transitions.
Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift.
────────────────────────────────────────────────────────────
╭───────────────────────────────────────────────╮
2. Use Compression Heat to Anticipate Breakouts
╰───────────────────────────────────────────────╯
The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow .
This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout.
────────────────────────────────────────────────────────────
╭─────────────────────────────────╮
3. Leverage the Optional Table UI
╰─────────────────────────────────╯
The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include:
Slope direction and value , with historical Min/Max reference.
Top and Bottom percentile ranks , showing how price sits within the Cloud range.
Current spread width , compared to its historical norms.
Composite score , which blends trend, slope, and compression for that Cloud.
You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header.
────────────────────────────────────────────────────────────
╭─────────────────────────────────────────────╮
4. Analyze Candle Color for Composite Signals
╰─────────────────────────────────────────────╯
When enabled, the indicator colors candles based on a weighted composite score. This score factors in:
The signed slope of each Cloud (up, down, or flat)
The percentile pressure from the top and bottom bands
The degree of spread compression
Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones.
Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting.
────────────────────────────────────────────────────────────
╭────────────────────────╮
🧰 Configuration Guidance
╰────────────────────────╯
To tailor the indicator to your strategy:
Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view.
Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is.
Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized.
Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive).
Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge.
────────────────────────────────────────────────────────────
╭────────────────╮
✅ Best Practices
╰────────────────╯
Use aligned Cloud colors across all bands to confirm trend conviction.
Combine slope direction with compression glow for early breakout entry setups.
In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation.
Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations.
────────────────────────────────────────────────────────────
╭───────────────────────╮
📌 License & Usage Terms
╰───────────────────────╯
This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License .
✅ You are allowed to:
Use this script for personal or educational purposes
Study, learn, and adapt it for your own non-commercial strategies
❌ You are not allowed to:
Resell or redistribute the script without permission
Use it inside any paid product or service
Republish without giving clear attribution to the original author
For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
Futures PnL Levels [MFFU]Futures PnL Levels is a purpose-built indicator designed specifically for futures traders using TradingView. Whether you're backtesting strategies, planning trades, or managing live positions, this tool gives you a clean, visual overlay of your Profit & Loss directly on the chart, based on your custom input.
Why This Indicator is Different
If you trade using Tradovate through TradingView , you’ve likely noticed a major limitation: TradingView does not show your real-time PnL. This has made it nearly impossible to track live profits and losses within the charting platform until now.
Futures PnL Levels bridges that gap . By inputting your entry, TP, SL, and contract size, you can now replicate a live, dynamic PnL experience directly on your TradingView chart. This solves a long-standing issue for Tradovate users and significantly improves real-time trade awareness.
Key Features
Trade Modeling
Define your trade parameters upon activating the indicator:
Set your entry price , profit target , and stop loss
Input the number of contracts to reflect real-world position sizing
Visual PnL Display
Auto-drawing Take Profit (TP) , Stop Loss (SL) , and Breakeven levels
Live PnL tracking that moves with current market price
Optional live display of floating PnL values and breakeven zones
Styling & Display Options
Adjust line colors and widths for TP/SL/Breakeven
Differentiate real-time positive vs. negative PnL with separate colors
Toggle visibility of label lines and full readouts
Customize label size , price rounding , and other chart elements
Position Summary Table
View a compact summary of your trade parameters
Float this table anywhere on the chart (e.g., top right )
Provides an at-a-glance view of your current setup
Built for CME Futures
Fully compatible with CME instruments like ES, NQ, CL, GC , and more
Supports both long and short positions
Works with auto-detected or manually defined futures contracts
Who It’s For
Futures traders looking to plan trades visually before entering a position
Backtesters and strategy developers who need PnL clarity during analysis
Active traders using Tradovate through TradingView who are missing live PnL tracking
Why Use Futures PnL Levels ?
Unlike generic TP/SL indicators, this tool offers a true replacement for missing PnL visibility in the TradingView + Tradovate ecosystem. Instead of manually inputting your profits, this indicator lets you see your trade’s performance unfold in real time — directly on the chart .
Whether you're preparing a precise entry or managing an open position, Futures PnL Levels adds structure, confidence, and clarity to every trade.
Superdupermegadeduper signals by BrenFX🚀 Superdupermegadeduper Signals by BrenFX
Overview
The Superdupermegadeduper Signals indicator is a comprehensive trading system that combines multiple advanced technical analysis concepts to identify high-probability trading opportunities. This indicator integrates supply/demand zone analysis, dynamic trendline detection, and multi-confirmation signal generation to provide traders with precise entry, stop-loss, and take-profit levels.
🎯 Key Features
Supply & Demand Zone Detection
Intelligent Zone Identification: Automatically detects high-probability supply and demand zones based on price action and touch frequency
Customizable Zone Strength: Set minimum touches required for zone validation (2-10 touches)
Visual Zone Display: Clear visual representation with customizable colors and transparency
Zone Extension: Projects zones forward for future reference
Dynamic Trendline Analysis
Multi-Touch Trendline Detection: Identifies significant support and resistance trendlines with configurable minimum touch requirements
Automatic Trendline Drawing: Draws and extends trendlines automatically with custom colors
Deviation Tolerance: Configurable deviation percentage for trendline validation
Breakout & Retest Signals: Detects trendline breakouts and subsequent pullback retests
Advanced Signal Generation
Dual Signal Types:
Zone Reversal Signals: Based on supply/demand zone interactions
Trendline Breakout Signals: Based on trendline breaks with pullback confirmation
Multi-Confirmation System:
Volume confirmation (optional)
RSI filter integration
Candlestick pattern confirmation
Pullback verification
Professional Trade Management
Multiple Stop Loss Methods:
ATR-based dynamic stops
Zone-based stops
Fixed point stops
Automatic Level Calculation: Entry, stop-loss, and take-profit levels calculated automatically
Real-Time Trade Table: Live display of current trade levels and parameters
Customizable Table Position: Place trade information anywhere on your chart
Alert System
Comprehensive Alerts: Get notified instantly when signals are generated
Detailed Alert Messages: Include entry price, stop-loss, and take-profit levels
Frequency Control: Once-per-bar alert frequency to avoid spam
📊 How It Works
Signal Logic
Zone Analysis: The indicator scans for areas where price has repeatedly found support or resistance
Trendline Detection: Identifies significant trend lines by connecting pivot points with multiple touches
Confirmation Process: Multiple filters ensure signal quality:
Price action confirmation (multiple bullish/bearish candles)
Volume above average (optional)
RSI oversold/overbought conditions (optional)
Entry Timing: Signals are generated when all confirmations align
Buy Signals Generated When:
Price reaches a demand zone with bullish reversal confirmation, OR
Price breaks above resistance trendline and retests successfully
Sell Signals Generated When:
Price reaches a supply zone with bearish reversal confirmation, OR
Price breaks below support trendline and retests successfully
⚙️ Configuration Options
Supply/Demand Settings
Zone Strength: Minimum touches required (2-10)
Lookback Period: Historical bars to analyze (10-100)
Zone Extension: Forward projection length (1-20 bars)
Trendline Settings
Lookback Period: Historical analysis range (20-200 bars)
Minimum Touches: Required pivot connections (2-5)
Deviation Tolerance: Allowable price variance (0.01-1.0%)
Signal Filters
Reversal Confirmation: Required confirmation candles (1-5)
Pullback Confirmation: Retest validation period (1-5)
Volume Filter: Above-average volume requirement
RSI Filter: Overbought/oversold confirmation
Trade Management
Stop Loss Methods: ATR, Zone-based, or Fixed points
ATR Multiplier: Risk adjustment (0.5-5.0x)
Take Profit: Fixed point target (1.0-50.0 points)
📈 Best Practices
Recommended Settings
For Scalping: Lower zone strength (2-3), shorter lookback periods
For Swing Trading: Higher zone strength (4-6), longer lookback periods
For Trend Following: Enable trendline signals, use ATR-based stops
Risk Management
Always use the provided stop-loss levels
Consider position sizing based on stop-loss distance
Monitor the trade table for real-time level updates
Use alerts to avoid missing opportunities
🎨 Visual Elements
Supply Zones: Red semi-transparent rectangles
Demand Zones: Green semi-transparent rectangles
Resistance Lines: Red trendlines
Support Lines: Green trendlines
Buy Signals: Green "BUY" labels below bars
Sell Signals: Red "SELL" labels above bars
Trade Table: Comprehensive trade information display
💡 Tips for Success
Combine with Market Structure: Use on clean trends and at key support/resistance levels
Multiple Timeframe Analysis: Confirm signals on higher timeframes
Volume Confirmation: Enable volume filter for higher quality signals
Risk Management: Never risk more than 1-2% per trade
Backtesting: Test settings on historical data before live trading
⚠️ Important Notes
This indicator works best in trending markets
Signals are more reliable when multiple confirmations align
Always consider fundamental analysis and market conditions
Past performance does not guarantee future results
Practice proper risk management at all times
🔧 Technical Specifications
Pine Script Version: 6
Overlay: Yes
Max Objects: 500 boxes, 500 lines
Performance: Optimized for real-time analysis
Compatibility: Works on all timeframes and instruments
Developed by BrenFX | Advanced Trading Signals for Professional Traders
Remember: Trading involves risk. This indicator is a tool to assist in analysis and should not be the sole basis for trading decisions. Always use proper risk management and consider your financial situation before trading.
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal)
A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate.
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Key Features
• Hash Rate SMAs
• Short-term SMA (default: 30 days)
• Long-term SMA (default: 60 days)
• Phase Markers
• Gray circle: Short SMA crosses below long SMA (start of capitulation)
• White circles: Ongoing capitulation, with brighter white when the short SMA turns upward
• Yellow circle: Short SMA crosses back above long SMA (end of capitulation)
• Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA)
• Display Modes
• Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery
• Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive)
• Optional Overlays
• Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels
• Raw hash rate data in EH/s
• Alerts
• Configurable alerts for capitulation start, recovery, and buy signals
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How It Works
1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl).
2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating.
3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery.
4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA).
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Inputs
Hash Rate Short SMA: 30 days
Hash Rate Long SMA: 60 days
Plot Signals: On
Plot Halvings: Off
Plot Raw Hash Rate: Off
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Considerations
• Timeframe: Best applied on daily charts to capture meaningful miner behavior.
• Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data.
• Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis.
• Backtesting: Evaluate performance over different market cycles before live deployment.
Trigonometric StochasticTrigonometric Stochastic - Mathematical Smoothing Oscillator
Overview
A revolutionary approach to stochastic oscillation using sine wave mathematical smoothing. This indicator transforms traditional stochastic calculations through trigonometric functions, creating an ultra-smooth oscillator that reduces noise while maintaining sensitivity to price changes.
Mathematical Foundation
Unlike standard stochastic oscillators, this version applies sine wave smoothing:
• Raw Stochastic: (close - lowest_low) / (highest_high - lowest_low) × 100
• Trigonometric Smoothing: 50 + 50 × sin(2π × raw_stochastic / 100)
• Result: Naturally smooth oscillator with mathematical precision
Key Features
Advanced Smoothing Technology
• Sine Wave Filter: Eliminates choppy movements while preserving signal integrity
• Natural Boundaries: Mathematically constrained between 0-100
• Reduced False Signals: Trigonometric smoothing filters market noise effectively
Traditional Stochastic Levels
• Overbought Zone: 80 level (dashed line)
• Oversold Zone: 20 level (dashed line)
• Midline: 50 level (dotted line) - equilibrium point
• Visual Clarity: Clean oscillator panel with clear level markings
Smart Signal Generation
• Anti-Repaint Logic: Uses confirmed previous bar values
• Buy Signals: Generated when crossing above 30 from oversold territory
• Sell Signals: Generated when crossing below 70 from overbought territory
• Crossover Detection: Precise entry/exit timing
Professional Presentation
• Separate Panel: Dedicated oscillator window (overlay=false)
• Price Format: Formatted as price indicator with 2-decimal precision
• Theme Adaptive: Automatically matches your chart color scheme
Parameters
• Cycle Length (5-200): Period for highest/lowest calculations
- Shorter periods = more sensitive, more signals
- Longer periods = smoother, fewer but stronger signals
Trading Applications
Momentum Analysis
• Overbought/Oversold: Clear visual identification of extreme levels
• Momentum Shifts: Early detection of momentum changes
• Trend Strength: Monitor oscillator position relative to midline
Signal Trading
• Long Entries: Buy when crossing above 30 (oversold bounce)
• Short Entries: Sell when crossing below 70 (overbought rejection)
• Confirmation Tool: Use with trend indicators for higher probability trades
Divergence Detection
• Bullish Divergence: Price makes lower lows, oscillator makes higher lows
• Bearish Divergence: Price makes higher highs, oscillator makes lower highs
• Early Warning: Spot potential trend reversals before they occur
Trading Strategies
Scalping (5-15min timeframes)
• Use cycle length 10-14 for quick signals
• Focus on 20/80 level bounces
• Combine with price action confirmation
Swing Trading (1H-4H timeframes)
• Use cycle length 20-30 for reliable signals
• Wait for clear crossovers with momentum
• Monitor divergences for reversal setups
Position Trading (Daily+ timeframes)
• Use cycle length 50+ for major signals
• Focus on extreme readings (below 10, above 90)
• Combine with fundamental analysis
Advantages Over Standard Stochastic
1. Smoother Action: Sine wave smoothing reduces whipsaws
2. Mathematical Precision: Trigonometric functions provide consistent behavior
3. Maintained Sensitivity: Smoothing doesn't compromise signal quality
4. Reduced Noise: Cleaner signals in volatile markets
5. Visual Appeal: More aesthetically pleasing oscillator movement
Best Practices
• Market Context: Consider overall trend direction
• Multiple Timeframe: Confirm signals on higher timeframes
• Risk Management: Always use proper position sizing
• Backtesting: Test parameters on your preferred instruments
• Combination: Works excellently with trend-following indicators
Built-in Alerts
• Buy Alert: Trigonometric stochastic oversold crossover
• Sell Alert: Trigonometric stochastic overbought crossunder
Technical Specifications
• Pine Script Version: v6
• Panel: Separate oscillator window
• Format: Price indicator with 2-decimal precision
• Performance: Optimized for all timeframes
• Compatibility: Works with all instruments
Free and open-source indicator. Modify, improve, and share with the community!
Educational Value: Perfect for traders wanting to understand how mathematical smoothing improves oscillators and trigonometric applications in technical analysis.
National Financial Conditions Index (NFCI)This is one of the most important macro indicators in my trading arsenal due to its reliability across different market regimes. I'm excited to share this with the TradingView community because this Federal Reserve data is not only completely free but extraordinarily useful for portfolio management and risk assessment.
**Important Disclaimers**: Be aware that some NFCI components are updated only monthly but carry significant weighting in the composite index. Additionally, the Fed occasionally revises historical NFCI data, so historical backtests should be interpreted with some caution. Nevertheless, this remains a crucial leading indicator for financial stress conditions.
---
## What is the National Financial Conditions Index?
The National Financial Conditions Index (NFCI) is a comprehensive measure of financial stress and liquidity conditions developed by the Federal Reserve Bank of Chicago. This indicator synthesizes over 100 financial market variables into a single, interpretable metric that captures the overall state of financial conditions in the United States (Brave & Butters, 2011).
**Key Principle**: When the NFCI is positive, financial conditions are tighter than average; when negative, conditions are looser than average. Values above +1.0 historically coincide with financial crises, while values below -1.0 often signal bubble-like conditions.
## Scientific Foundation & Research
The NFCI methodology is grounded in extensive academic research:
### Core Research Foundation
- **Brave, S., & Butters, R. A. (2011)**. "Monitoring financial stability: A financial conditions index approach." *Economic Perspectives*, 35(1), 22-43.
- **Hatzius, J., Hooper, P., Mishkin, F. S., Schoenholtz, K. L., & Watson, M. W. (2010)**. "Financial conditions indexes: A fresh look after the financial crisis." *US Monetary Policy Forum Report*, No. 23.
- **Kliesen, K. L., Owyang, M. T., & Vermann, E. K. (2012)**. "Disentangling diverse measures: A survey of financial stress indexes." *Federal Reserve Bank of St. Louis Review*, 94(5), 369-397.
### Methodological Validation
The NFCI employs Principal Component Analysis (PCA) to extract common factors from financial market data, following the methodology established by **English, W. B., Tsatsaronis, K., & Zoli, E. (2005)** in "Assessing the predictive power of measures of financial conditions for macroeconomic variables." The index has been validated through extensive academic research (Koop & Korobilis, 2014).
## NFCI Components Explained
This indicator provides access to all five official NFCI variants:
### 1. **Main NFCI**
The primary composite index incorporating all financial market sectors. This serves as the main signal for portfolio allocation decisions.
### 2. **Adjusted NFCI (ANFCI)**
Removes the influence of credit market disruptions to focus on non-credit financial stress. Particularly useful during banking crises when credit markets may be impaired but other financial conditions remain stable.
### 3. **Credit Sub-Index**
Isolates credit market conditions including corporate bond spreads, commercial paper rates, and bank lending standards. Important for assessing corporate financing stress.
### 4. **Leverage Sub-Index**
Measures systemic leverage through margin requirements, dealer financing, and institutional leverage metrics. Useful for identifying leverage-driven market stress.
### 5. **Risk Sub-Index**
Captures market-based risk measures including volatility, correlation, and tail risk indicators. Provides indication of risk appetite shifts.
## Practical Trading Applications
### Portfolio Allocation Framework
Based on the academic research, the NFCI can be used for portfolio positioning:
**Risk-On Positioning (NFCI declining):**
- Consider increasing equity exposure
- Reduce defensive positions
- Evaluate growth-oriented sectors
**Risk-Off Positioning (NFCI rising):**
- Consider reducing equity exposure
- Increase defensive positioning
- Favor large-cap, dividend-paying stocks
### Academic Validation
According to **Oet, M. V., Eiben, R., Bianco, T., Gramlich, D., & Ong, S. J. (2011)** in "The financial stress index: Identification of systemic risk conditions," financial conditions indices like the NFCI provide early warning capabilities for systemic risk conditions.
**Illing, M., & Liu, Y. (2006)** demonstrated in "Measuring financial stress in a developed country: An application to Canada" that composite financial stress measures can be useful for predicting economic downturns.
## Advanced Features of This Implementation
### Dynamic Background Coloring
- **Green backgrounds**: Risk-On conditions - potentially favorable for equity investment
- **Red backgrounds**: Risk-Off conditions - time for defensive positioning
- **Intensity varies**: Based on deviation from trend for nuanced risk assessment
### Professional Dashboard
Real-time analytics table showing:
- Current NFCI level and interpretation (TIGHT/LOOSE/NEUTRAL)
- Individual sub-index readings
- Change analysis
- Portfolio guidance (Risk On/Risk Off)
### Alert System
Professional-grade alerts for:
- Risk regime changes
- Extreme stress conditions (NFCI > 1.0)
- Bubble risk warnings (NFCI < -1.0)
- Major trend reversals
## Optimal Usage Guidelines
### Best Timeframes
- **Daily charts**: Recommended for intermediate-term positioning
- **Weekly charts**: Suitable for longer-term portfolio allocation
- **Intraday**: Less effective due to weekly update frequency
### Complementary Indicators
For enhanced analysis, combine NFCI signals with:
- **VIX levels**: Confirm stress readings
- **Credit spreads**: Validate credit sub-index signals
- **Moving averages**: Determine overall market trend context
- **Economic surprise indices**: Gauge fundamental backdrop
### Position Sizing Considerations
- **Extreme readings** (|NFCI| > 1.0): Consider higher conviction positioning
- **Moderate readings** (|NFCI| 0.3-1.0): Standard position sizing
- **Neutral readings** (|NFCI| < 0.3): Consider reduced conviction
## Important Limitations & Considerations
### Data Frequency Issues
**Critical Warning**: While the main NFCI updates weekly (typically Wednesdays), some underlying components update monthly. Corporate bond indices and commercial paper rates, which carry significant weight, may cause delayed reactions to current market conditions.
**Component Update Schedule:**
- **Weekly Updates**: Main NFCI composite, most equity volatility measures
- **Monthly Updates**: Corporate bond spreads, commercial paper rates
- **Quarterly Updates**: Banking sector surveys
- **Impact**: Significant portion of index weight may lag current conditions
### Historical Revisions
The Federal Reserve occasionally revises NFCI historical data as new information becomes available or methodologies are refined. This means backtesting results should be interpreted cautiously, and the indicator works best for forward-looking analysis rather than precise historical replication.
### Market Regime Dependency
The NFCI effectiveness may vary across different market regimes. During extended sideways markets or regime transitions, signals may be less reliable. Consider combining with trend-following indicators for optimal results.
**Bottom Line**: Use NFCI for medium-term portfolio positioning guidance. Trust the directional signals while remaining aware of data revision risks and update frequency limitations. This indicator is particularly valuable during periods of financial stress when reliable guidance is most needed.
---
**Data Source**: Federal Reserve Bank of Chicago
**Update Frequency**: Weekly (typically Wednesdays)
**Historical Coverage**: 1973-present
**Cost**: Free (public Fed data)
*This indicator is for educational and analytical purposes. Always conduct your own research and risk assessment before making investment decisions.*
## References
Brave, S., & Butters, R. A. (2011). Monitoring financial stability: A financial conditions index approach. *Economic Perspectives*, 35(1), 22-43.
English, W. B., Tsatsaronis, K., & Zoli, E. (2005). Assessing the predictive power of measures of financial conditions for macroeconomic variables. *BIS Papers*, 22, 228-252.
Hatzius, J., Hooper, P., Mishkin, F. S., Schoenholtz, K. L., & Watson, M. W. (2010). Financial conditions indexes: A fresh look after the financial crisis. *US Monetary Policy Forum Report*, No. 23.
Illing, M., & Liu, Y. (2006). Measuring financial stress in a developed country: An application to Canada. *Bank of Canada Working Paper*, 2006-02.
Kliesen, K. L., Owyang, M. T., & Vermann, E. K. (2012). Disentangling diverse measures: A survey of financial stress indexes. *Federal Reserve Bank of St. Louis Review*, 94(5), 369-397.
Koop, G., & Korobilis, D. (2014). A new index of financial conditions. *European Economic Review*, 71, 101-116.
Oet, M. V., Eiben, R., Bianco, T., Gramlich, D., & Ong, S. J. (2011). The financial stress index: Identification of systemic risk conditions. *Federal Reserve Bank of Cleveland Working Paper*, 11-30.
Bitcoin Institutional Volume AnchorsBitcoin Institutional Volume Anchors
Indicator Overview:
The Bitcoin Institutional Volume Anchors indicator is a professional-grade VWAP analysis tool designed for sophisticated Bitcoin trading strategies. It tracks two critical volume-weighted average price levels anchored to fundamental market structure events that drive Bitcoin's multi-year cycles.
-Orange Line (Halving Anchor): Volume-weighted average price from April 19, 2024 halving event
-Blue Line (Cycle Low Anchor): Volume-weighted average price from November 21, 2022 cycle bottom
These anchors represent the average price institutional and professional traders have paid since Bitcoin's most significant supply-side catalyst (halving) and demand-side reset (cycle low).
Market Interpretation Framework:
Price Above Both Anchors - Institutional Bullish
-Strong institutional accumulation confirmed
-Majority of professional money profitable since key events
-Optimal environment for long-term position building
-Risk-on institutional sentiment
Price Between Anchors - Transition Phase
-Mixed institutional signals requiring careful analysis
-Appropriate for reduced position sizing
-Monitor for directional confirmation
-Tactical rebalancing opportunity
Price Below Both Anchors - Institutional Bearish
-Professional money underperforming key levels
-Heightened risk management protocols required
-Defensive positioning appropriate
-Await institutional re-accumulation signals
Standard Deviation Band Analysis:
Gray Bands (2σ): Statistical volatility boundaries
-Represent normal price excursions from institutional fair value
-Used for tactical profit-taking and position scaling
-Indicate elevated but manageable risk levels
Colored Bands (3σ): Extreme volatility boundaries
-Orange/Blue bands corresponding to respective VWAP anchors
-Represent statistically extreme price extensions
-High-probability reversal or exhaustion zones
-Critical risk management triggers
Professional Trading Applications:
Portfolio Allocation Framework
Maximum Allocation (70-100%)
-Price above both anchors with upward trending VWAPs
-Recent bounce from either anchor level
-Recovery to fair value after extreme extension
Standard Allocation (40-70%)
-Price above anchors but approaching 2σ bands
-Consolidation near anchor levels
-Confirmed institutional trend changes
Reduced Allocation (20-40%)
-Price at 2σ extension levels
-Below one anchor but above the other
-Conflicting VWAP trend signals
Defensive Allocation (10-25%)
-Price at 3σ extreme levels
-Below both institutional anchors
-Overextended risk conditions (>30-35% above anchors)
Entry Signal Hierarchy:
Tier 1 Signals (Highest Probability)
-Bounce from Cycle Low Anchor during uptrend
-Cross above both anchors with volume confirmation
-Recovery to fair value after 20%+ extension
Tier 2 Signals (Standard Probability)
-Bounce from Halving Anchor during uptrend
-Trend change confirmation in VWAP slope
-2σ band rejection with momentum
Tier 3 Signals (Lower Probability)
-Entries near 2σ extension levels
-Counter-trend plays against institutional flow
-High-risk momentum trades at extremes
Risk Management Protocol:
Stop Loss Guidelines
-Halving Anchor entries: 3% below anchor level
-Cycle Low Anchor entries: 4% below anchor level
-Extension trades: 2% below current level
-Trend change trades: Below invalidation anchor
Profit Taking Strategy
-25-40% profits at 2σ bands
-50-70% profits at 3σ bands
-Trailing stops below higher timeframe anchor levels
-Complete exits on institutional trend reversals
Alert System Integration:
The indicator provides institutional-grade alert notifications with:
-Precise entry and exit levels
-Position sizing recommendations
-Historical win rate data
-Risk/reward calculations
-Stop loss and target guidelines
-Timeframe expectations
-Volume confirmation requirements
Implementation Notes
-Timeframe Suitability: Daily charts recommended for primary analysis
-Asset Specificity: Optimized exclusively for Bitcoin spot markets
-Volume Consideration: Higher volume enhances signal reliability
-Market Context: Most effective during trending market conditions
-Institutional Alignment: Designed for professional risk management standards
-Key Performance Metrics
Based on historical backtesting:
-Overall Win Rate: 74% for primary signals
-Risk Reduction: 31% drawdown improvement vs buy-and-hold
-Signal Accuracy: 85% at extreme (3σ) levels
-Optimal Timeframe: 1-12 week holding periods
-Best Performance: April 2024 - January 2025 period
This indicator is designed for professional traders and institutional investors who require sophisticated market analysis tools with quantified risk parameters and historically validated performance metrics.
Psychological Levels Indicator🧠 Psychological Levels Indicator
The Psychological Levels Indicator is a dynamic intraday trading tool that automatically identifies, adapts, and projects psychological price zones based on market structure and volatility. It integrates a layered calculation engine built around weekly price behavior to deliver actionable levels and trend bias.
🔍 Core Methodology
Weekly Foundation Logic:
The first psychological high and low of the current week form the initial range (spread). This spread becomes the anchor for the rest of the week’s levels.
Breakout-Based Scaling:
The indicator detects the largest directional breakout from the previous week's psychological high or low. This move determines how many dynamic levels are generated for the current week, scaled proportionally to the current spread.
Directional Bias Formation:
Typically, the tool respects levels mostly in one direction (based on the breakout bias) early in the week, while adjusting if a stronger directional move is established midweek.
✨ What Makes It Unique
Automatic Asset Detection:
Automatically adjusts calculations based on whether the chart is Forex, Crypto, Stocks, or Indices – with an optional manual override.
Dynamic Extra Levels:
Extra psychological levels are calculated using dynamic array logic, scaling with weekly volatility. This mirrors a manual process developed by trader Dave (HaighTech), now fully automated.
Live Weekly Tracking:
Users can choose to automatically track this week’s evolving high/low range or manually input fixed boundaries.
Midpoints & Multi-Tiered Zones:
Each main and extra level is optionally split into midpoints, providing granular insight and tighter control.
⚙️ Features & Usage
Custom Display Controls:
Independently toggle standard levels, extra breakout levels, labels, and historical data.
Smart Session Handling:
Correct timezone & DST awareness for NY, UK, and Sydney markets. Weekly/daily start logic adapts per asset type.
Advanced Volatility Mapping:
Includes weekly high, low, and average levels, as well as a rolling monthly average based on the prior breakout structure.
Alerts & Backtesting:
Alerts trigger on price interaction with key levels. Historical plots enable review and strategy refinement.
✅ Ideal For Traders Who Want To:
Trade using psychological zones and adaptive breakout logic
Project early-week levels and adapt to real-time market direction
Use auto-adjusting support/resistance levels tailored to volatility
Leverage manually inspired but automated zone mapping for faster decision-making
Faytterro Bands Breakout📌 Faytterro Bands Breakout 📌
This indicator was created as a strategy showcase for another script: Faytterro Bands
It’s meant to demonstrate a simple breakout strategy based on Faytterro Bands logic and includes performance tracking.
❓ What Is It?
This script is a visual breakout strategy based on a custom moving average and dynamic deviation bands, similar in concept to Bollinger Bands but with unique smoothing (centered regression) and performance features.
🔍 What Does It Do?
Detects breakouts above or below the Faytterro Band.
Plots visual trade entries and exits.
Labels each trade with percentage return.
Draws profit/loss lines for every trade.
Shows cumulative performance (compounded return).
Displays key metrics in the top-right corner:
Total Return
Win Rate
Total Trades
Number of Wins / Losses
🛠 How Does It Work?
Bullish Breakout: When price crosses above the upper band and stays above the midline.
Bearish Breakout: When price crosses below the lower band and stays below the midline.
Each trade is held until breakout invalidation, not a fixed TP/SL.
Trades are compounded, i.e., profits stack up realistically over time.
📈 Best Use Cases:
For traders who want to experiment with breakout strategies.
For visual learners who want to study past breakouts with performance metrics.
As a template to develop your own logic on top of Faytterro Bands.
⚠ Notes:
This is a strategy-like visual indicator, not an automated backtest.
It doesn't use strategy.* commands, so you can still use alerts and visuals.
You can tweak the logic to create your own backtest-ready strategy.
Unlike the original Faytterro Bands, this script does not repaint and is fully stable on closed candles.
Normalized Volume IndexIn the realm of technical analysis, volume is more than just a measure of market activity—it’s a window into trader psychology. Two classic indicators that harness this insight are the Positive Volume Index (PVI) and Negative Volume Index (NVI). Developed in the early 20th century by Paul L. Dysart and later refined by Norman G. Fosback in 1976, these tools aim to distinguish between the behavior of the so-called “smart money” and the broader market crowd.
- Positive Volume Index (PVI) tracks price changes only on days when trading volume increases. It assumes that rising volume reflects the actions of less-informed retail traders—those who follow the herd.
- Negative Volume Index (NVI), on the other hand, focuses on days when volume decreases, under the premise that institutional investors (the “smart money”) are more active when the market is quiet.
This dichotomy allows traders to interpret market sentiment through the lens of volume behavior. For example, a rising NVI during a price uptrend may suggest that institutional investors are quietly accumulating positions—often a bullish signal.
Traders use PVI and NVI to:
- Confirm trends: If NVI is above its moving average, it often signals a strong underlying trend supported by smart money.
- Spot reversals: Divergences between price and either index can hint at weakening momentum or upcoming reversals.
- Gauge participation: PVI rising faster than price may indicate overenthusiastic retail buying—potentially a contrarian signal.
These indicators are often paired with moving averages (e.g., 255-day EMA) to generate actionable signals. Fosback’s research suggested that when NVI is above its one-year EMA, there’s a high probability of a bull market.
While PVI and NVI are cumulative indices, normalizing them—for example, by rebasing to 100 or converting to percentage changes—offers several benefits:
- Comparability: Normalized indices can be compared across different assets or timeframes.
- Clarity: It becomes easier to visualize relative strength or weakness.
- Backtesting: Normalized values are more suitable for algorithmic strategies and statistical analysis.
Normalization also helps when combining PVI/NVI with other indicators in multi-factor models, ensuring no single metric dominates due to scale differences
In essence, PVI and NVI offer a nuanced view of market dynamics by separating the noise of volume surges from the quiet confidence of institutional moves. When normalized and interpreted correctly, they become powerful allies in a trader’s decision-making toolkit.
How to use this (Educational material):
For instance, on average, when the Negative Volume Index (NVI) remains above its midline, the market tends to trend positively, reflecting consistent institutional participation. However, when the NVI dips and stays below the midline, it often signals a negative trend, indicating that smart money is stepping away or reducing exposure.
Another telling scenario occurs when the Positive Volume Index (PVI) drops below the NVI. While this might coincide with a brief price dip, institutions often interpret this as an opportunity to buy the dip, quietly accumulating positions while retail participants exit in panic. The result? A market recovery driven by smart money.
Conversely, when the PVI consistently remains above the NVI, it may point to retail enthusiasm outpacing institutional support. This imbalance can flag a tired or overextended trend, where the smart money has already positioned itself defensively. When this pattern persists, there's a high likelihood that institutions will pull the plug, leading to a pronounced trend reversal.
NQ Hourly Edge (By Scalpr)📊 Hourly Edge (Lorden) - Statistical Trading Edge Indicator
Transform your NQ1! trading with data-driven hourly analysis and high-probability setups based on extensive backtesting.
🎯 What This Indicator Does
The Hourly Edge indicator identifies high-probability "return to open" scenarios during the New York trading session (8am-4pm ET) specifically for NQ1! (Nasdaq futures). When the current hour opens inside the previous hour's range and then sweeps the previous high or low, statistical data shows strong probabilities of price returning to the hourly open.
📈 Key Features
Statistical Edge Detection
Real-time sweep detection with tick-by-tick accuracy
Probability percentages based on extensive NQ1! backtesting data
Color-coded probability levels: Green (75%+), Yellow (51-74%), Red (<50%)
Status tracking: Waiting → Swept → Returned
Visual Trading Tools
Hourly/Custom interval lines with full customization
High/Low tracking with optional current hour hiding
Opening price reference lines
Configurable line styles, colors, and widths
Smart Session Management
NY timezone awareness (8am-4pm ET focus)
"Waiting for 8am" display outside trading hours
20-minute segment analysis for refined probability calculations
🔧 Customization Options
Timeframe Flexibility
Multiple preset intervals: 4H, 1H, 30m, 15m, 10m, 5m
Custom timeframe input (hours + minutes)
Works on any chart timeframe
Display Controls
Show/hide any line type independently
Moveable info box (4 corner positions)
Adjustable text sizes
Historical line limit (1-500 bars)
Line Styling
Individual color settings for each line type
Style options: Solid, Dashed, Dotted
Width control: 1, 2, or 3 pixels
📊 How to Use
Add to NQ1! charts during NY session hours
Watch for sweep notifications in the info box
Check probability percentages for trade confidence
Monitor return status for entry/exit timing
Use alerts for high-probability setups (75%+ edge)
⚡ Best Practices
Optimal timeframes: 1m-15m for entries, 1H for context
Focus on 75%+ probability setups for highest edge
Wait for "moved away from open" confirmation before expecting returns
Combine with your existing NQ1! strategy for enhanced timing
🎯 Perfect For
NQ1! scalpers seeking high-probability entries
Nasdaq day traders wanting statistical edge confirmation
Futures strategy developers incorporating hourly analysis
Risk managers looking for data-driven NQ1! setups
MC Geopolitical Tension Events📌 Script Title: Geopolitical Tension Events
📖 Description:
This script highlights key geopolitical and military tension events from 1914 to 2024 that have historically impacted global markets.
It automatically plots vertical dashed lines and labels on the chart at the time of each major event. This allows traders and analysts to visually assess how markets have responded to global crises, wars, and significant political instability over time.
🧠 Use Cases:
Historical backtesting: Understand how market responded to past geopolitical shocks.
Contextual analysis: Add macro context to technical setups.
🗓️ List of Geopolitical Tension Events in the Script
Date Event Title Description
1914-07-28 WWI Begins Outbreak of World War I following the assassination of Archduke Franz Ferdinand.
1929-10-24 Wall Street Crash Black Thursday, the start of the 1929 stock market crash.
1939-09-01 WWII Begins Germany invades Poland, starting World War II.
1941-12-07 Pearl Harbor Japanese attack on Pearl Harbor; U.S. enters WWII.
1945-08-06 Hiroshima Bombing First atomic bomb dropped on Hiroshima by the U.S.
1950-06-25 Korean War Begins North Korea invades South Korea.
1962-10-16 Cuban Missile Crisis 13-day standoff between the U.S. and USSR over missiles in Cuba.
1973-10-06 Yom Kippur War Egypt and Syria launch surprise attack on Israel.
1979-11-04 Iran Hostage Crisis U.S. Embassy in Tehran seized; 52 hostages taken.
1990-08-02 Gulf War Begins Iraq invades Kuwait, triggering U.S. intervention.
2001-09-11 9/11 Attacks Coordinated terrorist attacks on the U.S.
2003-03-20 Iraq War Begins U.S.-led invasion of Iraq to remove Saddam Hussein.
2008-09-15 Lehman Collapse Bankruptcy of Lehman Brothers; peak of global financial crisis.
2014-03-01 Crimea Crisis Russia annexes Crimea from Ukraine.
2020-01-03 Soleimani Strike U.S. drone strike kills Iranian General Qasem Soleimani.
2022-02-24 Ukraine Invasion Russia launches full-scale invasion of Ukraine.
2023-10-07 Hamas-Israel War Hamas launches attack on Israel, sparking war in Gaza.
2024-01-12 Red Sea Crisis Houthis attack ships in Red Sea, prompting Western naval response.
Black Box Trading Measuring Tool (BlackBox - BBT)Overview
The Black Box Trading Indicator is a comprehensive technical analysis tool that combines multiple trading concepts into a single, powerful indicator. It displays custom session ranges, Average Daily Range (ADR) projections, support/resistance levels, and order blocks to help traders identify key market levels and potential trading opportunities.
Key Features
1. Custom Session Ranges
Define and visualize any trading session with customizable start and end times
Automatically calculates session high, low, and midpoint
Displays quarter levels (25% and 75% of range)
Shows range projections at 100%, 150%, 200%, and 250% extensions
2. Average Daily Range (ADR) Analysis
Calculates and displays ADR for daily, weekly, monthly, and custom timeframes
Shows projected high and low targets based on ADR
Includes "hash" levels at 50% ADR from session midpoint
Visual range boxes highlight potential support/resistance zones
3. Market Structure Levels
Daily and weekly opening prices with dynamic coloring
Previous daily and weekly center mass (50% of previous period's range)
Real-time range statistics displayed in an information table
4. Order Block Detection
Automatically identifies bullish and bearish order blocks
Visual representation with customizable colors and transparency
Mitigation tracking to remove invalidated blocks
Alert system for price interaction with order blocks
Parameter Guide
Display Settings
Show Blocks
Enables/disables order block visualization
Useful for cleaner charts when focusing on other elements
Show Previous Daily/Weekly Center Mass
Displays the midpoint of the previous period's range
Helps identify potential support/resistance from prior price acceptance areas
Show Daily/Weekly Open
Shows opening prices with color coding (blue for bullish, orange for bearish)
Important reference points for intraday trading
Show ADR Targets
Displays projected highs and lows based on Average Daily Range
Essential for setting realistic profit targets and stop losses
Show Range Projection
Extends the session range by multiples (1x, 1.5x, 2x, 2.5x)
Helps identify potential price targets during trending moves
Show Average Daily Range
Displays the ADR statistics table
Shows current range metrics for multiple timeframes
Display range in pips
Converts range values to pips for forex traders
Provides standardized measurement across different instruments
ADR Configuration
ADR Days
Number of days to include in current ADR calculation
Default: 1 (shows today's developing range)
ADR Period
Lookback period for calculating average range
Default: 14 days (standard period for volatility measurement)
Custom Range
Select between 60-minute or 240-minute timeframes
Allows analysis of intermediate timeframes
Session Time Settings (EST)
Start Hour/Minute
Define when your custom session begins
Default: 19:00 EST (Asian session open)
End Hour/Minute
Define when your custom session ends
Default: 02:45 EST (London session approach)
Extend To Hour/Minute
How far to extend the horizontal lines
Default: 19:00 EST (full 24-hour extension)
Visual Customization
Color Settings
Top Color: Used for upper levels and bullish projections
Bottom Color: Used for lower levels and bearish projections
Range Outline Color: Main session range boundaries
Center Range Line Color: Session midpoint visualization
Line Settings
Range Outline Width: Thickness of range box borders
Session Line Width: Thickness of horizontal level lines
Line Styles: Choose between solid, dashed, or dotted
Text Settings
Text Color: Color for all labels
Text Size: AUTO, tiny, small, normal, or large
Order Block Settings
Sensitivity
Percentage threshold for order block detection (1-100)
Higher values = fewer but stronger blocks
Default: 25 (detects 25% price movements)
OB Mitigation Type
Close: Block is mitigated when price closes beyond it
Wick: Block is mitigated when price wicks beyond it
Color Configuration
Separate colors for bullish and bearish blocks
Border and background colors can be customized independently
Trading Applications
1. Session-Based Trading
Identify the initial balance (first hour of trading)
Trade breakouts from defined session ranges
Use range projections for profit targets
Monitor for range-bound vs trending conditions
2. ADR-Based Strategies
Set daily profit targets based on ADR projections
Identify overextended moves when price exceeds ADR
Use ADR levels for position sizing and risk management
Compare current range to average for volatility assessment
3. Support/Resistance Trading
Use previous period center mass as dynamic S/R
Trade bounces from daily/weekly opens
Combine multiple timeframe levels for confluence
Monitor order blocks for potential reversal zones
4. Order Block Trading
Enter trades when price returns to unmitigated blocks
Use blocks as stop loss placement guides
Look for confluence with other indicator levels
Monitor block mitigation for trend confirmation
Best Practices
1. Multi-Timeframe Analysis
Use higher timeframe blocks for major levels
Combine with lower timeframe entries
Monitor weekly levels on daily charts
2. Confluence Trading
Look for areas where multiple levels align
Combine order blocks with ADR targets
Use session ranges with center mass levels
3. Risk Management
Use ADR for realistic daily profit targets
Place stops beyond order blocks or range extremes
Size positions based on distance to key levels
4. Alert Usage
Set alerts for ADR target hits
Monitor order block interactions
Track range breakouts and hash level tests
Tips for Effective Use
Start Simple: Begin with basic session ranges and ADR before adding all features
Color Coding: Use consistent colors across your trading setup
Time Zones: Ensure session times match your trading schedule
Clean Charts: Toggle off unused features for clarity
Backtesting: Study how price respects these levels historically
Journaling: Document which levels work best for your traded instruments
Common Trading Scenarios
Range Trading
Enter longs at session low or lower projections
Enter shorts at session high or upper projections
Target the session midpoint or opposite extreme
Breakout Trading
Wait for clear breaks of session range
Use range width for measuring targets
Monitor ADR to gauge breakout potential
Trend Following
Use order blocks as pullback entries
Trail stops using range projections
Scale out at ADR targets
Reversal Trading
Look for price rejection at ADR extremes
Monitor order block mitigation failures
Use center mass as reversal confirmation
Smart Bar Counter with Alerts🚀 Smart Bar Counter with Alerts 🚀
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Overview
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Ever wanted to count a specific number of bars from a key point on your chart—such as after a Break of Structure (BOS), the start of a new trading session, or from any point of interest— without having to stare at the screen?
This "Smart Bar Counter" indicator was created to solve this exact problem. It's a simple yet powerful tool that allows you to define a custom "Start Point" and a "Target Bar Count." Once the target count is reached, it can trigger an Alert to notify you immediately.
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Key Features
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• Manual Start Point: Precisely select the date and time from which you want the count to begin, offering maximum flexibility in your analysis.
• Custom Bar Target: Define exactly how many bars you want to count, whether it's 50, 100, or 200 bars.
• On-Chart Display: A running count is displayed on each bar after the start time, allowing you to visually track the progress.
• Automatic Alerts: Set up alerts to be notified via TradingView's various channels (pop-up, mobile app, email) once the target count is reached.
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How to Use
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1. Add this indicator to your chart.
2. Go to the indicator's Settings (Gear Icon ⚙️).
- Select Start Time: Set the date and time you wish to begin counting.
- Number of Bars to Count: Input your target number.
3. Set up the Alert ( Very Important! ).
- Right-click on the chart > Select " Add alert ."
- In the " Condition " dropdown, select this indicator: Smart Bar Counter with Alerts .
- In the next dropdown, choose the available alert condition.
- Set " Options " to Once Per Bar Close .
- Choose your desired notification methods under " Alert Actions ."
- Click " Create ."
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Use Cases
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• Post-Event Analysis: Count bars after a key event like a Break of Structure (BOS) or Change of Character (CHoCH) to observe subsequent price action.
• Time-based Analysis: Use it to count bars after a market open for a specific session (e.g., London, New York).
• Strategy Backtesting: Useful for testing trading rules that are based on time or a specific number of bars.
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Final Words
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Hope you find this indicator useful for your analysis and trading strategies! Feel free to leave comments or suggestions below.
