Stock FundamentalsOverview
A comprehensive fundamental analysis tool for TradingView that displays key financial metrics from company financial statements in an easy-to-understand visual format.
Key Features
- Revenue & Earnings Analysis: Track company sales, gross profit, EBITDA, operating expenses, and free cash flow
- EPS & Dividend Metrics: Monitor earnings per share, dividend payments, and payout ratios
- Debt and Equity Structure: Analyze total debt, equity levels, and cash positions
- Profitability Ratios: Evaluate return on equity (ROE), return on assets (ROA), and return on invested capital (ROIC)
- Visual Color Coding: Each metric has a distinct color for easy identification
- Interactive Legend: Comprehensive reference table showing all acronyms and their corresponding colors
How to Use
1. Select Output Type:
- Per Share: Values normalized per share
- % of mcap: Values as percentage of market capitalization
- Actual: Raw financial values
2. Choose Period:
- FQ: Fiscal Quarter data
- FY: Fiscal Year data
3. Toggle Metric Groups:
- Use the input options to show/hide different categories:
- Revenue & Earnings
- EPS & DPS
- Debt metrics
- Return ratios
4. Read the Chart:
- Each colored line represents a different financial metric
- Hover over data points to see exact values
- Use the legend (top-right corner) to identify each metric
5. Interpret the Data:
- Look for consistent upward trends in revenue and earnings
- Monitor debt levels relative to equity and cash positions
- Compare profitability ratios (ROE, ROIC, ROA) over time
- The orange horizontal line indicates the 20% ROE target (excellent performance)
Color Guide
- Purple: Revenue
- Blue: Gross Profit, EPS, Total Equity, ROE
- Aqua: EBITDA
- Orange: Operating Expenses, DPS
- Lime: Free Cash Flow, Cash & Equivalents
- Teal: EPS Estimate, ROIC
- Red: Dividend Payout Ratio, Total Debt
- Green: R&D to Revenue Ratio
Tips
- Compare multiple quarters to identify trends
- Watch for improving profit margins over time
- Monitor cash flow generation relative to earnings
- Use the 20% ROE line as a benchmark for exceptional performance
- Combine with technical analysis for comprehensive investment decisions
Data Source: Company fundamental data from financial statements
Cerca negli script per "profit"
BB TrendSyncBB TrendSync - Advanced Dual-Band Momentum Deviation System
Core Innovation and Originality
This indicator transforms traditional Bollinger Band analysis through three key innovations that distinguish it from standard implementations:
1. Dual-Band Percentage Oscillator Architecture: Unlike conventional Bollinger Bands that display price levels, this system converts dual Bollinger Band calculations into percentage-based oscillators. The first system uses extended lookback periods (40-period base with 65-period standard deviation) for macro trend detection, while the second employs rapid response parameters (8-period base with 66-period standard deviation) for micro momentum capture. Each system independently calculates where price sits within its band range as a percentage from 0-100.
2. Momentum Deviation Enhancement: The breakthrough innovation applies standard deviation analysis to the percentage oscillator readings themselves. Rather than analyzing price volatility, this technique measures the volatility of the oscillator's position within its range over a specified period (typically 25 periods with 0.8 multiplier). This creates dynamic "bands around the bands" that adapt to changing market momentum characteristics.
3. Multi-Modal Signal Synthesis: The system provides five distinct methods for combining dual-band signals, from simple arithmetic averaging to consensus requirements where both systems must agree. The "Average" mode specifically utilizes momentum deviation crossovers rather than basic threshold crossovers, creating refined entry timing.
Mathematical Framework
Percentage Conversion Formula:
The core calculation transforms standard Bollinger Band readings into normalized percentages using the formula:
BB_Percent = 100 * (Source - Lower_Band) / (Upper_Band - Lower_Band)
Momentum Deviation Calculation:
The system then calculates the standard deviation of these percentage readings:
MD_StdDev = StandardDeviation(BB_Percent, MD_Length)
Upper_MD_Band = BB_Percent + (MD_Multiplier * MD_StdDev)
Lower_MD_Band = BB_Percent - (MD_Multiplier * MD_StdDev)
Signal Generation Logic:
Primary signals occur when momentum deviation bands cross predetermined thresholds, providing earlier and more reliable entry points than standard Bollinger Band touches. The system tracks band states dynamically, changing visual indicators when momentum shifts are detected.
Value Proposition for Closed-Source Distribution
This indicator justifies TOP ELITE access through several proprietary elements:
Algorithmic Sophistication: The momentum deviation methodology represents original research into oscillator volatility analysis. While Bollinger Bands are public domain, applying volatility analysis to the percentage oscillator itself is a novel approach that required extensive backtesting and optimization.
Advanced Signal Processing: The five-mode signal combination system with momentum deviation integration provides significantly more nuanced analysis than standard Bollinger Band implementations. The state tracking and visual feedback systems offer professional-grade market analysis tools.
Comprehensive Analytics Engine: The integrated performance measurement system calculates advanced metrics including Sortino ratio, Calmar ratio, and Kelly Criterion position sizing guidance in real-time, providing institutional-quality analytics typically found in expensive trading platforms.
Professional Visualization Framework: The dynamic color-coding system, gradient oscillator bars, and state-aware visual elements provide immediate market sentiment feedback that goes far beyond basic indicator plotting.
Technical Implementation Details
Dual-System Parameters:
System 1 (Macro): 40-period SMA base, 65-period standard deviation calculation, 1.0 multiplier
System 2 (Micro): 8-period SMA base, 66-period standard deviation calculation, 1.9 multiplier
Momentum Deviation Settings:
Standard deviation length: 25 periods (optimized for detecting momentum shifts)
Multiplier: 0.8 (calibrated to reduce false signals while maintaining sensitivity)
Threshold Configuration:
Long threshold: 62% (upper momentum zone entry)
Short threshold: 60% (lower momentum zone entry)
Close thresholds create tight range for precision timing
Signal Modes Explained:
BB1 Only: Uses macro system exclusively for trend-following signals
BB2 Only: Uses micro system exclusively for momentum scalping
Average: Employs momentum deviation crossovers of averaged systems
Both Required: Demands agreement from both systems before signaling
Either One: Triggers when any system generates signals
Performance Metrics Explained
Core Performance Metrics:
Net Profit: Total percentage return from strategy implementation, showing bottom-line effectiveness of the signal generation system.
Win Rate: Percentage of profitable trades, indicating signal accuracy. Combined with profit factor analysis to ensure statistical reliability.
Total Trades: Number of completed round-trip trades for statistical significance assessment.
Current P&L: Real-time profit/loss percentage of active positions with continuous updates.
Risk Assessment Metrics:
Max Drawdown: Largest peak-to-trough equity decline, crucial for risk management and position sizing decisions.
Calmar Ratio: Annualized return divided by maximum drawdown, providing risk-adjusted performance measurement.
Advanced Risk Metrics:
Sharpe Ratio: Excess return per unit of total volatility, industry standard for risk-adjusted performance comparison.
Sortino Ratio: Similar to Sharpe but focuses on downside deviation only, providing more realistic risk assessment.
Kelly Criterion (Half): Optimal position sizing calculation based on win probability and average win/loss ratios, using conservative half-Kelly approach.
Real-Time Status:
Position: Current market exposure (Long/Short/Cash)
MD State: Momentum deviation status (Bullish/Bearish/Neutral)
Practical Application
Setup Recommendations:
Use "Average" mode for balanced signal generation combining both timeframe perspectives
Monitor momentum deviation band colors for trend confirmation
Observe gradient oscillator position for market sentiment assessment
Utilize performance metrics for strategy optimization and risk management
Adjust thresholds based on market volatility characteristics
Market Applicability:
The system functions across all timeframes and instruments, with particular effectiveness in trending markets where momentum persistence provides statistical edge. The dual-band approach captures both short-term momentum shifts and longer-term trend developments.
Competitive Advantages
Unlike standard Bollinger Band indicators that simply plot price bands, this system provides:
Quantified momentum analysis through volatility-of-volatility calculations
Multi-modal signal processing for diverse market conditions
Professional-grade performance analytics with institutional metrics
Dynamic visual feedback systems for immediate market assessment
Optimized parameter sets developed through extensive backtesting
12H SUI
1H BTC Since 2023
Risk Disclaimer
This indicator is designed for educational and analytical purposes. It does not constitute financial advice or trading recommendations. Past performance does not guarantee future results. Trading involves substantial risk of loss, and you should carefully consider your financial situation before making trading decisions. The indicator's signals should be part of comprehensive analysis and never the sole basis for trading decisions. Always conduct independent research.
Technical Requirements
Compatible with all TradingView chart types and timeframes. Optimized for real-time analysis with efficient computational algorithms suitable for live trading environments.
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool
Automatically composite multiple time periods to identify key areas of balance and market structure
What is the Composite Time Profile Overlay?
The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance.
The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action.
Why Use CTPO for Market Profile Trading?
Eliminate Manual Compositing Work
Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period.
Spot Areas of Balance Quickly
The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods.
Focus on What Matters
Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold.
How CTPO Works for Market Profile Traders
Automatic Profile Compositing
CTPO uses a proprietary algorithm that:
- Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection)
- Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation
- Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required)
- Updates composite levels as new price action develops in real-time
Key Levels for Market Profile Analysis
The indicator displays:
- Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data
- Point of Control (POC) levels where most trading occurred across all composited periods
- Composite zones representing areas of balance with configurable transparency
- 1.618 Fibonacci extensions for breakout targets based on composite range
Multiple Timeframe Support
- Sessions: For intraday market profile analysis
- Daily: For swing trading with daily profiles
- Weekly: For position trading with weekly structure
- Monthly: For long-term market profile analysis
- Auto: Automatically selects timeframe based on your chart
Trading Applications for Market Profile Users
Support and Resistance Trading
Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes.
Breakout Trading
When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades.
Mean Reversion Strategies
Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean.
Institutional Level Analysis
Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity.
Key Features for Market Profile Traders
Smart Compositing Logic
- Automatic overlap detection using price range intersection algorithms
- Configurable overlap thresholds (minimum 50% overlap required for merging)
- Dead composite identification (profiles that become engulfed by newer composites)
- Real-time updates as new price action develops using barstate.islast optimization
Visual Customization
- Customizable colors for active, broken, and dead composites
- Adjustable transparency levels for each composite state
- Premium/Discount zone highlighting based on current price vs composite range
- TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure
- Fibonacci level extensions with 1.618 target calculations based on composite range
Clean Chart Presentation
- Only shows the most relevant composite levels (maximum 10 active composites)
- Eliminates clutter from individual session profiles
- Focuses on areas of balance that matter most to current price action
Real-World Trading Examples
Day Trading with Session Composites
Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies.
Swing Trading with Daily Composites
Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets.
Position Trading with Weekly Composites
Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years.
Risk Management
Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions.
Why Composite Levels Work
Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies.
The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels.
Technical Foundation
The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations.
How the Code Actually Works
1. Period Detection and ATR Calculation
The code first determines the appropriate timeframe based on your chart:
- 1m-5m charts: Session-based profiles
- 15m-2h charts: Daily profiles
- 4h charts: Weekly profiles
- 1D charts: Monthly profiles
For each period type, it calculates the number of bars needed for ATR calculation:
- Sessions: 540 minutes divided by chart timeframe
- Daily: 1440 minutes divided by chart timeframe
- Weekly: 7 days worth of minutes divided by chart timeframe
- Monthly: 30 days worth of minutes divided by chart timeframe
2. C2M Row Size Calculation
The code calculates True Range for each bar in the determined period:
- True Range = max(high-low, |high-prevClose|, |low-prevClose|)
- Averages all True Range values to get ATR
- Row Size = (ATR / 10) converted to tick size
- This ensures each TPO row represents a meaningful price movement
3. TPO Profile Generation
For each period, the code:
- Creates price levels from lowest to highest price in the range
- Each level is separated by the calculated row size
- Counts how many bars touch each price level (TPO count)
- Finds the level with highest count = Point of Control (POC)
- Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included
4. Overlap Detection Algorithm
When a new profile is created, the code checks if it overlaps with existing composites:
- Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL)
- Calculates current profile range = currentVAH - currentVAL
- Overlap percentage = (overlap range / current profile range) * 100
- If overlap >= 50%, profiles are merged into a composite
5. Composite Merging Logic
When profiles overlap, the code creates a new composite by:
- Taking the earliest start bar and latest end bar
- Using the wider VAH/VAL range (max of both profiles)
- Keeping the POC from the profile with more TPO blocks
- Marking the composite as "active" until price breaks through
6. Real-Time Updates
The code uses barstate.islast to optimize performance:
- Only recalculates on the last bar of each period
- Updates active composite with live price action if enabled
- Cleans up old composites to prevent memory issues
- Redraws all visual elements from scratch each bar
7. Visual Rendering System
The code uses arrays to manage drawing objects:
- Clears all lines/boxes arrays on every bar
- Iterates through composites array to redraw everything
- Uses different colors for active, broken, and dead composites
- Calculates 1.618 Fibonacci extensions for broken composites
Getting Started with CTPO
Step 1: Choose Your Timeframe
Select the period type that matches your trading style:
- Use "Sessions" for day trading
- Use "Daily" for swing trading
- Use "Weekly" for position trading
- Use "Auto" to let the indicator choose based on your chart timeframe
Step 2: Customize the Display
Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis.
Step 3: Identify Key Levels
Look for:
- Composite zones (blue boxes) - major areas of balance
- VAH/VAL lines - value area boundaries
- POC lines - areas of highest trading activity
- 1.618 extension lines - breakout targets
Step 4: Develop Your Strategy
Use these levels to:
- Set entry points near composite zones
- Place stop losses beyond composite levels
- Take profits at 1.618 extension levels
- Identify trend changes when major composites break
Perfect for Market Profile Traders
If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most.
The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed.
Streamline Your Market Profile Analysis
Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter.
Ready to Streamline Your Market Profile Trading?
Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
MTF Options Signals (message-free)script made to help with options profitability. made using ai to increase portfolio profitability
Trend Score with Dynamic Stop Loss HTF
How the Trend Score System Works
This indicator uses a Trend Score (TS) to measure price momentum over time. It tracks whether price is breaking higher or lower, then sums these moves into a cumulative score to define trend direction.
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1. Trend Score (+1 / -1 Mechanism)
On each new bar:
• +1 point: if the current bar breaks the previous bar’s high.
• −1 point: if the current bar breaks the previous bar’s low.
• If both happen in the same bar, they cancel each other out.
• If neither happens, the score does not change.
This creates a simple running measure of bullish vs bearish pressure.
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2. Cumulative Trend Score
The Trend Score is cumulative, meaning each new +1 or -1 is added to the total score, building a continuous count.
• Rising scores = buyers are consistently pushing price to higher highs.
• Falling scores = sellers are consistently pushing price to lower lows.
This smooths out noise and helps identify persistent momentum rather than single-bar spikes.
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3. Trend Flip Trigger (default = 3)
A trend flip occurs when the cumulative Trend Score changes by 3 points (default setting) in the opposite direction of the current trend.
• Bullish Flip:
• Cumulative TS rises 3 points from its most recent low pivot.
• Marks a potential start of a new uptrend.
• A bullish stop-loss (SL) is set at the most recent swing low.
• Bearish Flip:
• Cumulative TS falls 3 points from its most recent high pivot.
• Marks a potential start of a new downtrend.
• A bearish SL is set at the most recent swing high.
Example:
• TS is at -2, then climbs to +1.
• That’s a +3 change, triggering a bullish flip.
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4. Visual Summary
• Green background: Active bullish trend.
• Red background: Active bearish trend.
• ▲ Triangle Up: A bullish flip occurred this bar.
• Stop Loss Line: Shows the structural low used for risk management.
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Why This Matters
The Trend Score measures trend pressure simply and objectively:
• +1 / -1 mechanics track real price behavior (breakouts of highs and lows).
• Cumulative changes of 3 points act like a momentum filter, ignoring small reversals.
• This helps you see true regime shifts on higher timeframes, which is especially useful for swing trades and investing decisions.
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Key Takeaways
• Only flips after meaningful swings: prevents overreacting to single-bar noise.
• SL shows invalidation point: helps you know where a trend thesis fails.
• Works best on Daily or Weekly charts: for smoother, more reliable signals. Using Trend Score for Long-Term Investing
This indicator is designed to support decision-making for higher timeframe investing, such as swing trades, multi-month positions, or even multi-year holds.
It helps you:
• Identify major bullish regimes.
• Decide when to add to winning positions (DCA up).
• Know when to pause buying or consider trimming during weak periods.
• Stay disciplined while holding long-term winners.
Important Note:
These are suggestions for context. Always combine them with your own analysis, portfolio allocation rules, and risk tolerance.
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1. Start With the Higher Timeframe
• Use Weekly charts for a broad investing view.
• Use Daily charts only for fine-tuning entry points or deciding when to add.
• A Bullish Flip on Weekly suggests the market may be entering a major uptrend.
• If Weekly is bullish and Daily also turns bullish, it’s extra confirmation of strength.
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2. Building a Position with DCA
Goal: Grow your position gradually during strong bullish regimes while staying aware of risk.
A. Initial Buy
• Start with a small initial allocation when a Bullish Flip appears on Weekly or Daily.
• This is just a starter position to get exposure while the new trend develops.
B. Adding Through Strength (DCA Up)
• Consider adding during pullbacks, as long as price stays above the active SL line.
• Each add should be smaller or equal to your first buy.
• Spread out adds over time or price levels, instead of going all-in at once.
C. Pause Buying When:
• Price approaches or touches the SL level (trend invalidation).
• A Bearish Flip appears on Weekly or Daily — this signals potential weakness.
• Your total position size reaches your maximum allocation limit for that asset.
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3. Holding Winners
When a position grows in profit:
• Stay in the trend as long as the Weekly regime remains bullish.
• The indicator’s green background acts as a reminder to hold, not panic sell.
• Use the SL bubble to monitor where the trend could potentially break.
• Avoid selling just because of small pullbacks — focus on big-picture trend health.
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4. Taking Partial Profits
While this tool is designed to help hold long-term winners, there may be times to lighten risk:
• After large, rapid moves far above the SL, consider trimming a small portion of your position.
• When MFE (Maximum Favorable Excursion) in the table reaches unusually high levels, it may signal overextension.
• If the Weekly chart turns Neutral or Bearish, you can gradually reduce exposure while waiting for the next Bullish Flip.
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5. Using the Stop Loss Line for Awareness
The Dynamic SL line represents a structural level that, if broken, may suggest the bullish trend is weakening.
How to think about it:
• Above SL: Market remains structurally healthy — continue holding or adding gradually.
• Close to SL: Pause adds. Be cautious and consider tightening your risk.
• Below SL: Treat this as a potential signal to reassess your position, especially if the break is confirmed on Weekly.
The SL is not a hard stop — it’s a visual guide to help you manage expectations.
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6. Example Use Case
Imagine you are investing in a growth stock:
• Weekly Bullish Flip: You open a small starter position.
• Price pulls back slightly but stays above SL: You add a second, smaller tranche.
• Trend continues up for months: You hold and stop adding once your desired allocation is reached.
• Price doubles: You trim 10–20% to lock some profits, but continue holding the majority.
• Price later dips below SL: You slow down, reassess, and decide whether to reduce exposure.
This keeps you:
• Participating in major uptrends.
• Avoiding overcommitment during weak phases.
• Making adjustments gradually, not emotionally.
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7. Suggested Workflow
1. Check Weekly chart → is it Bullish?
2. If yes, review Daily chart to fine-tune entry or adds.
3. Build exposure gradually while Weekly remains bullish.
4. Watch SL bubbles as awareness points for risk management.
5. Use partial trims during big rallies, but avoid exiting entirely too soon.
6. Reassess if Weekly turns Neutral or Bearish.
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Key Takeaways
• Use this as a compass, not a command system.
• Weekly flips = big picture direction.
• Daily flips = timing and precision.
• Add gradually (DCA) while above SL, pause near SL, reassess below SL.
• Hold winners as long as Weekly remains bullish.
RSI Crossover AlertRSI Crossover Alert Indicator - User Guide
The RSI Crossover Alert Indicator is a comprehensive technical analysis tool that detects multiple types of RSI crossovers and generates real-time alerts. It combines traditional RSI analysis with signal lines, divergence detection, and multi-level crossing alerts.
1. Multiple Crossover Detection
- RSI/Signal Line Cross: Signals a primary trend change.
- RSI/Second Signal Cross: Confirmation signals for stronger trends.
- Level Crossings: Crosses of Overbought 70, Oversold 30, and Midline 50.
- Divergence Detection: Hidden and regular divergences for reversal signals.
2. Alert Types
- Alert: RSI > Signal
Description: Bullish momentum is building.
Signal: Consider long positions.
- Alert: RSI < Signal
Description: Bearish momentum is building.
Signal: Consider short positions.
- Alert: RSI > 70
Description: Entering the overbought zone.
Signal: Prepare for a potential reversal.
- Alert: RSI < 30
Description: Entering the oversold zone.
Signal: Watch for a bounce opportunity.
- Alert: RSI crosses 50
Description: A shift in momentum.
Signal: Trend confirmation.
3. Visual Components
- Lines: RSI blue, Signal orange, Second Signal purple
- Histogram: Visualizes momentum by showing the difference between RSI and the Signal line.
- Background Zones: Red overbought, Green oversold
- Markers: Up/down triangles to indicate crossovers.
- Info Table: Real-time RSI values and status.
Strategy 1: Classic Crossover
- Entry Long: RSI crosses above the Signal Line AND RSI is below 50.
- Entry Short: RSI crosses below the Signal Line AND RSI is above 50.
- Take Profit: On the opposite signal.
- Stop Loss: At the recent swing high/low.
Strategy 2: Extreme Zone Reversal
- Entry Long: RSI is below 30 and crosses above the Signal Line.
- Entry Short: RSI is above 70 and crosses below the Signal Line.
- Risk Management: Higher win rate but fewer signals. Use a minimum 2:1 risk-reward ratio.
Strategy 3: Divergence Trading
- Setup: Enable divergence alerts and look for price/RSI divergence. Wait for an RSI crossover for confirmation.
- Entry: Enter on the crossover after the divergence appears. Place the stop loss beyond the starting point of the divergence.
Strategy 4: Multi-Timeframe Confirmation
1. Check the higher timeframe e.g. Daily to identify the main trend.
2. Use the current timeframe e.g. 4H/1H for your entry.
3. Only enter in the direction of the main trend.
4. Use the RSI crossover as the entry trigger.
Optimal Settings by Market
- Forex Major Pairs
RSI Length: 14, Signal Length: 9, Overbought/Oversold: 70/30
- Crypto High Volatility
RSI Length: 10-12, Signal Length: 6-8, Overbought/Oversold: 75/25
- Stocks Trending
RSI Length: 14-21, Signal Length: 9-12, Overbought/Oversold: 70/30
- Commodities
RSI Length: 14, Signal Length: 9, Overbought/Oversold: 80/20
Risk Management Rules
1. Position Sizing: Never risk more than 1-2% on a single trade. Reduce size in ranging markets.
2. Stop Loss Placement: Place stops beyond the recent swing high/low for crossovers. Using an ATR-based stop is also effective.
3. Profit Taking: Take partial profits at a 1:1 risk-reward ratio. Switch to a trailing stop after reaching 2:1.
1. Filtering Signals
- Combine with volume indicators.
- Confirm the trend on a higher timeframe.
- Wait for candlestick pattern confirmation.
2. Avoid Common Mistakes
- Don't trade every single crossover.
- Avoid taking signals against a strong trend.
- Do not ignore risk management.
3. Market Conditions
- Trending Market: Focus on midline 50 crosses.
- Ranging Market: Look for reversals from overbought/oversold levels.
- Volatile Market: Widen the overbought/oversold levels.
- If you get too many false signals:
Increase the signal line period, add other confirmation indicators, or use a higher timeframe.
- If you are missing major moves:
Decrease the RSI length, shorten the signal line period, or check your alert settings.
Recommended Combinations
1. RSI + MACD: For dual momentum confirmation.
2. RSI + Bollinger Bands: For volatility-adjusted signals.
3. RSI + Volume: To confirm the strength of a signal.
4. RSI + Moving Averages: To use as a trend filter.
This indicator provides a comprehensive RSI analysis. Success depends on proper configuration, risk management, and combining signals with the overall market context. Start with the default settings, then optimize based on your trading style and market conditions.
Position Size CalculatorPosition Size Calculator
This open-source Pine Script® indicator helps traders manage risk by calculating position size, margin, and risk/reward based on account size, leverage, entry, stop-loss, and take-profit. It features a customizable table and optional chart lines/labels for clear trade planning across stocks, forex, crypto, and futures.
What It Does
- Position Size: Computes units to trade based on risk percentage and stop-loss distance, capped by leverage.
- Margin: Calculates initial margin in base currency and USD, with account size percentage.
- Risk/Reward: Shows risk-reward ratio, percentage price movements, and USD gains/losses.
- Visualization: Displays results in a table and optional chart lines/labels with customizable styles.
How It Works
- Precision: Adjusts price formatting using syminfo.mintick for accuracy across assets.
- Calculations: Position size = accountSize * (riskPercent / 100) / |entry - stoploss|, capped by accountSize * leverage / entry. Margin = positionSize / leverage. Risk-reward = |takeprofit - entry| / |stoploss - entry|.
- Display: Table shows metrics; optional lines/labels plot entry, stop-loss, and take-profit with percentage and USD details.
How to Use
- Set Inputs:
1- Account Size (USD): Your capital (e.g., 1000).
2- % Risk per Trade: Risk tolerance (e.g., 1%).
3- Leverage: Broker leverage (e.g., 1x, 10x).
4- Entry, Stop Loss, Take Profit: Trade prices.
5- Show Lines and Labels: Enable chart overlays.
- Customize: Adjust table position, colors, and line styles (Solid, Dashed, Dotted).
- View Results: Table shows position size, margin, and risk/reward. Chart lines/labels (if enabled) display prices, percentages, and USD outcomes.
- Apply: Use metrics for trade execution; modify code for custom features.
Notes
- Ensure valid inputs (entry ≠ stop-loss, both positive) to avoid “N/A”.
- Open-source: Inspect or extend the code for your needs.
- Contact the author via TradingView for feedback.
Zenith by JaeheeZenith (Invite-Only)
Overview
• This indicator is a trend-following, regime-aware signal tool designed to surface actionable long/short entries only when multiple, independent conditions align.
• It emphasizes trend initiation (not late trend chasing) and provides structured take-profit (TP1/TP2/TP3) cues when momentum weakens after entry.
• It is an indicator (not a strategy). It does not place trades, manage orders, or guarantee outcomes.
What makes it different
• Regime windowing: Signals are permitted only shortly after a regime flip and only if trend quality conditions persist (streak). This reduces signals that arrive too late in mature trends.
• Multi-filter consensus: Trend EMA slope/position, RSI state/slope, ADX/DI separation, volume expansion, and optional structure break (HH/LL) must agree before any entry is considered.
• Volatility & squeeze awareness: A TTM-style squeeze gate avoids chasing during compression unless a valid release is detected.
• Momentum-based TPs: After a valid entry, RSI divergence at confirmed pivots defines TP1→TP3 in the trend direction (price makes a new extreme while RSI momentum fails to confirm).
• Minimal repaint design: Signals and TPs are formed on confirmed pivots and bar close logic; HTF requests use lookahead_off. (See “Repainting & calculation notes.”)
How it works (signal engine)
• Trend filter:
• Baseline EMA and its slope define directional bias (price vs baseline, rising/falling baseline).
• RSI state & slope:
• RSI must be above/below its midpoint and (optionally) rising/falling to validate momentum alignment.
• Directional strength (ADX/DI):
• ADX must exceed a minimum; DI+ vs DI− alignment confirms directional pressure.
• Liquidity/participation:
• Volume must exceed its SMA×mult to avoid low-quality moves.
• Structure confirmation (optional):
• Break of recent highs/lows (windowed) helps filter range noise.
• Squeeze gate:
• During BB-inside-KC compression, entries are held back unless a valid release (KC breakout) or ATR expansion is present.
• Regime window:
• After Long/Short pass flips from 0→1, entries are allowed for a limited number of bars (window) and only after a streak (N consecutive bars meeting conditions).
• HTF alignment (optional):
• Higher-timeframe EMA trend must agree with the local setup (no lookahead).
Signals & labels
• Entry labels:
• Long Entry = “Long Entry” (below bar)
• Short Entry = “Short Entry” (above bar)
• Shapes:
• Diamonds mark entry points; optional “Macro-only” mode shows only regime-grade signals.
• Visual ribbon:
• A gradient band around the baseline provides context for volatility and bias; it does not alter signal logic.
Take-Profit framework (momentum weakening)
• After a Long Entry, the script tracks confirmed price pivot highs vs confirmed RSI pivot highs:
• TP trigger (Long): new price pivot high higher than prior, but RSI pivot high lower → bearish divergence (momentum weakening).
• Ordering: TP2 must print above TP1; TP3 must print above TP1/TP2.
• After a Short Entry, the script tracks confirmed price pivot lows vs confirmed RSI pivot lows:
• TP trigger (Short): new price pivot low lower than prior, but RSI pivot low higher → bullish divergence.
• Ordering: TP2 must print below TP1; TP3 must print below TP1/TP2.
• Why divergence?
• It captures fading momentum within an ongoing move, enabling staged partial exits without predicting tops/bottoms.
How traders typically use it
• Discretionary entries with rules:
• Confirm on bar close to avoid intrabar flips.
• Favor higher-timeframes for reliability; in practice, the 1-hour chart has been a balanced choice between responsiveness and noise.
• Risk & exits:
• Combine the indicator’s entries with independent risk management (fixed/ATR stops, volatility-scaled sizing).
• Use TP1→TP3 for partials; trail the remainder by structure/ATR or your preferred method.
Why it can add value (without hype)
• Noise rejection: By requiring simultaneous agreement across trend, momentum, participation, and compression, many low-quality whipsaws are filtered out.
• Timeliness: Limiting signal eligibility to a post-flip window seeks to capture the early phase of regime change instead of late escalations.
• Clarity: The gradient ribbon and explicit labels (“Long Entry”, “Short Entry”, “TP1–TP3”) make execution rules transparent and repeatable.
• Adaptability: Inputs (RSI length/midline, ADX/DI thresholds, squeeze, HTF alignment, structure, window/streak sizes) allow tuning for symbols/timeframes.
Best practices (recommended use)
① Confirm on bar close
• Signals can change intrabar; execute after the bar has closed.
② Validate across multiple timeframes
• Although the tool adapts to volatility, reliability improves on higher timeframes.
• In practice, the 1-hour chart has shown a stable balance between reactivity and noise.
③ Align with ribbon bias
• Trade in the same direction as the ribbon/baseline slope to reduce counter-trend exposure.
④ Combine with independent risk management
• Use stop-losses, position sizing, or ATR-based targets outside the script.
⑤ Use as confirmation, not prediction
• Treat entries as confirmation of regime change, not as a forecast of future price.
Inputs you may care about
• Trend/Structure: EMA length, slope lookback, structure window, cooldown bars.
• Momentum: RSI length/midline, rising/falling filter, ADX length/min, DI separation.
• Participation: Volume SMA length & multiplier.
• Compression: BB/KC lengths & multipliers; require-release toggle.
• Regime quality: Flip window, streak size, ATR expansion vs baseline, max extension (ATR×), optional ADX rising, optional HTF alignment.
• TP controls: Enable/disable per side, max TP count (1–3), label offset/color.
• Visuals: EMA and ribbon display, diamond sizes, optional vertical lines.
Repainting & calculation notes
• No future-bar references: The script does not use future data. HTF calls use barmerge.lookahead_off.
• Pivot confirmation: Entries and TPs use confirmed pivots (pivotRight bars later). Labels are placed at the pivot bar index once confirmed.
• Intrabar updates: Values can update before the bar closes; confirm on close for decisions.
• HTF security: Higher-timeframe values are requested without lookahead; still, HTF bars finalize only when the HTF bar closes.
Limitations & responsible use
• Not financial advice. No guarantees of profitability; markets involve risk.
• Not a strategy. It does not place, manage, or cancel orders; you must supply risk controls.
• Parameter sensitivity. Different symbols/timeframes may require tuning.
• Divergence scarcity. TP1–TP3 are divergence-based; in strong trends without momentum fade, fewer TP signals will occur.
Disclaimer
• This indicator is provided for educational and informational purposes only.
• It does not guarantee profits, predict future prices, or replace independent judgment.
• Trading involves risk, and all decisions remain solely the responsibility of the user.
• By using this tool, you acknowledge that it is intended as a study aid within TradingView, not as financial advice or an automated trading system.
XAUMO MEGABAR Detector]XAUMO MegaBar Detector – Breakout Candle Identification Tool
Purpose:
The XAUMO MegaBar Detector is built to highlight rare, high-impact candles where strong price movement and high trading volume occur together. These moments often reflect aggressive market activity and can be used to confirm potential breakouts or reversals.
How It Works (High-Level Overview)
The tool continuously monitors two primary conditions:
Price Expansion – Identifies large-bodied candles compared to recent averages.
Volume Expansion – Confirms that the move is supported by above-average trading activity.
When both conditions are present, the candle is marked:
🟢 Mega Bull – Strong bullish pressure.
🔴 Mega Bear – Strong bearish pressure.
Key Features
Automatic Timeframe Adjustment – Detection sensitivity changes based on chart timeframe, so results stay relevant from 1-minute scalps to multi-day swing setups.
Clear Visual Output – Significant candles are highlighted directly on the chart for easy recognition.
Optional Labels – Toggle on/off text labels (“Mega Bull” / “Mega Bear”) for a cleaner chart view.
Alert Integration – Set TradingView alerts to be notified immediately when a qualifying candle appears.
Universal Compatibility – Works on Forex, Commodities, Indices, Crypto, Stocks, ETFs, and Futures.
Practical Uses for Traders
As a confirmation tool when price approaches support/resistance or Fibonacci levels.
To filter low-quality setups by focusing only on moments where both price and volume confirm the move.
As part of a trend-following or breakout strategy when combined with other analysis methods.
Using the Indicator
Add the indicator to any chart and select your preferred timeframe.
Watch for highlighted candles – they indicate significant combined momentum and liquidity.
Use as a signal filter or confirmation alongside your existing trading system.
Optional: Set alerts to receive push/email/webhook notifications.
===================================
📌 MEGA BAR TRADING CHEAT SHEET
Spot Big Money. Ride the Move.
===================================
🧠 WHAT’S A MEGA BAR?
A Mega Bar is a candle so big it makes the rest look tiny — and it often means institutions are making a move.
Check the 4 Rules:
✅ Body size ≥ 2x average
✅ High relative volume (vs. last 20 bars)
✅ Closes near high (bull) or low (bear)
✅ Comes after sideways chop or price squeeze
📈 WHY IT MATTERS
Mega Bars = intent, not random spikes.
🟢 Mega Bull near support/Fib pullback → Likely accumulation
🔴 Mega Bear near resistance/Fib extension → Likely distribution or trap
🔧 HOW TO TRADE IT
1. WAIT FOR IT
No Mega Bar → No trade.
Mega Bull (big green) → BUY bias.
Mega Bear (big red) → SELL bias.
2. FIND THE SPOT
Fib levels: 61.8% / 78.6% / 138.2%
Major Support/Resistance
3. CONFIRM ON BIGGER TIMEFRAME
Example: 15M Mega Bar → Check 1H trend direction.
4. SET YOUR LEVELS
Stop-Loss:
Long → Below Mega Bull low (+0.2×ATR)
Short → Above Mega Bear high (+0.2×ATR)
Take-Profit:
Fib extensions: 127.2% / 161.8% / 261.8%
Prior highs/lows
5. RISK SMART
Risk 1–2% max per trade
Aim for 2:1+ R:R
🌍 WORKS ON:
Forex • Commodities • Stocks • Crypto • Indices
THE RETAILER’S FORMULA:
🟢 Big Green → Buy
🔴 Big Red → Sell
🎯 Fibs = Payday
One setup. One signal. Discipline = profit.
ML Compressor Enhanced Trading Indicator# 🤖 ML Enhanced Trading Indicator - Advanced Market Analysis
## 📊 Overview
This is a comprehensive Machine Learning Enhanced Trading Indicator that combines multiple advanced analytical techniques to provide high-probability trading signals. The indicator uses artificial intelligence, pattern recognition, anomaly detection, and traditional technical analysis to identify optimal entry and exit points in the market.
## 🚀 Key Features
### 🧠 **Machine Learning Core**
- **Advanced Pattern Recognition**: Uses cosine similarity, Pearson correlation, and Spearman rank correlation to identify historical patterns
- **AI-Powered Predictions**: Implements multiple correlation methods to forecast price movements
- **Anomaly Detection**: Z-score based detection system for unusual market activities
- **Signal Confidence Scoring**: Reliability assessment for each trading signal
### 📈 **Technical Analysis Integration**
- **Multi-Timeframe RSI Analysis**: 14 and 21-period RSI with oversold/overbought detection
- **MACD Momentum**: Enhanced MACD histogram analysis for trend confirmation
- **Bollinger Bands Position**: Dynamic position tracking within BB channels
- **Volume Analysis**: Spike and dry volume detection with ratio calculations
- **Trend Strength Measurement**: EMA-based trend power analysis
### 🎯 **Perfect Zone Detection**
- **Ideal Buy Zone**: Identifies perfect buying opportunities when 7 conditions align:
- ML Score ≥ 0.60
- Bottom proximity detection
- RSI in 20-35 range
- Volume spike confirmation
- Positive price anomaly
- Bullish pattern match
- Positive MACD momentum
### 📊 **Comprehensive Display Table**
- **Real-time ML Analysis**: Complete breakdown of all indicators
- **Perfect Buy Conditions Tracker**: Visual checklist with completion percentage
- **Performance Metrics**: Win rate tracking and P&L analysis
- **Signal Strength Indicators**: Confidence levels for each signal
## 🔧 **Customizable Parameters**
### **ML Settings**
- **ML Lookback Period**: 20-500 bars (default: 100)
- **Anomaly Threshold**: 1.0-5.0 sensitivity (default: 2.0)
- **Pattern Similarity**: 0.5-0.99 matching threshold (default: 0.80)
- **AI Lookback Period**: 20-200 bars (default: 50)
### **AI Prediction Models**
- **Correlation Methods**: Spearman, Pearson, Cosine Similarity
- **Forecast Length**: 15-250 bars (default: 50)
- **Similarity Type**: Price or %Change analysis
### **Visual Options**
- **Table Position**: Top/Bottom Left/Right positioning
- **Table Size**: Small, Normal, Large options
- **Signal Display**: Toggle buy/sell signals on/off
- **AI Visualization**: Optional prediction paths and ZigZag
## 📋 **How to Use**
### **For Beginners**
1. Add the indicator to your chart
2. Look for "PERFECT BUY" signals in the table
3. Wait for completion percentage ≥ 85% for highest probability trades
4. Use the background color changes as visual confirmation
### **For Advanced Traders**
1. Analyze individual ML components in the detailed table
2. Monitor anomaly detection for unusual market conditions
3. Use pattern confidence levels for trade timing
4. Combine with your existing strategy for confirmation
### **Signal Interpretation**
- **🟢 PERFECT BUY**: All 7 conditions met - highest probability reversal
- **🟡 NEAR BOTTOM**: Close to ideal conditions - monitor closely
- **🔴 NOT READY**: Wait for better setup
- **Strong Buy/Sell Signals**: ML score-based entries with high confidence
## ⚠️ **Important Notes**
### **Risk Management**
- This indicator provides analysis and signals, not guaranteed outcomes
- Always use proper risk management and position sizing
- Consider market conditions and fundamental factors
- Backtest the strategy on your preferred timeframes and assets
### **Best Practices**
- Use multiple timeframe analysis for confirmation
- Combine with support/resistance levels
- Monitor volume confirmation for all signals
- Set appropriate stop-losses and profit targets
### **Performance Tracking**
- The indicator tracks its own performance with win rate calculations
- Monitor the "AI Prediction" accuracy percentage
- Use the P&L tracking to assess signal quality over time
## 🔄 **Updates and Improvements**
This indicator is continuously evolving with:
- Enhanced machine learning algorithms
- Improved pattern recognition capabilities
- Additional correlation methods for better accuracy
- Performance optimization for faster calculations
- New visualization features based on user feedback
## 📚 **Technical Details**
### **Machine Learning Implementation**
- **Pattern Matching**: 20-bar normalized price patterns with historical comparison
- **Correlation Analysis**: Mathematical similarity scoring between current and historical patterns
- **Anomaly Detection**: Statistical Z-score analysis across price, volume, and RSI
- **Signal Weighting**: Multi-factor scoring system with optimized weights
### **Algorithm Components**
1. **Feature Extraction**: Price, volume, momentum, volatility, and trend features
2. **Pattern Recognition**: Historical pattern database with similarity matching
3. **Anomaly Detection**: Multi-dimensional Z-score threshold analysis
4. **Signal Generation**: Weighted scoring system with confidence intervals
5. **Performance Tracking**: Real-time win rate and accuracy monitoring
### **Calculation Methods**
- **Trend Strength**: (EMA8 - EMA21) / EMA21 * 100
- **Volume Ratio**: Current Volume / 20-period SMA Volume
- **BB Position**: (Close - BB_Lower) / (BB_Upper - BB_Lower)
- **Anomaly Score**: Average of normalized Z-scores for price, volume, and RSI
## 🎨 **Visual Elements**
### **Background Colors**
- **Light Green**: Perfect buy zone detected
- **Light Red**: Perfect sell zone detected
- **Light Blue**: Near bottom proximity
- **Green/Red Transparency**: Price anomaly detection
### **Signal Shapes**
- **Green Triangle Up**: Strong buy signal
- **Red Triangle Down**: Strong sell signal
- **Aqua Diamond**: Perfect buy zone entry
- **Purple Diamond**: Perfect sell zone entry
### **Table Information**
- **ML Complete Analysis**: 16 comprehensive metrics
- **Perfect Buy Conditions**: 7-point checklist with status indicators
- **Real-time Values**: Live updating of all calculations
- **Color-coded Status**: Green (good), Yellow (moderate), Red (caution)
## 🔍 **Troubleshooting**
### **Common Issues**
- **Table Not Showing**: Enable "Show ML Table" in settings
- **No Signals Appearing**: Check "Show Buy/Sell Signals" option
- **Performance Issues**: Reduce ML Lookback Period for faster calculation
- **Too Many/Few Signals**: Adjust Anomaly Threshold sensitivity
### **Optimization Tips**
- **For Day Trading**: Use lower timeframes (1m, 5m, 15m) with reduced lookback periods
- **For Swing Trading**: Use higher timeframes (1h, 4h, 1D) with standard settings
- **For Scalping**: Enable only strong signals and reduce pattern similarity threshold
- **For Long-term**: Increase all lookback periods and use daily/weekly timeframes
## 📖 **Disclaimer**
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
### **Risk Warning**
- All trading involves risk of substantial losses
- Never risk more than you can afford to lose
- This indicator does not guarantee profitable trades
- Always use proper risk management techniques
- Consider consulting with a financial advisor
### **Liability**
The creator of this indicator is not responsible for any losses incurred from its use. Users should thoroughly test and understand the indicator before using it with real money.
### **Feature Requests**
- Suggest improvements through TradingView comments
- Report bugs with detailed descriptions
- Share successful strategies using the indicator
- Contribute to community discussions
## 🏆 **Credits and Acknowledgments**
This indicator builds upon various open-source libraries and mathematical concepts:
- TradingView ZigZag library for visualization
- Statistical correlation methods from academic research
- Machine learning concepts adapted for financial markets
- Community feedback and testing contributions
## 📈 **Performance Metrics**
The indicator includes built-in performance tracking:
- **Win Rate Calculation**: Percentage of profitable signals
- **Signal Accuracy**: ML prediction vs actual price movement
- **Drawdown Tracking**: Current unrealized P&L from last signal
- **Completion Percentage**: How many perfect conditions are met
## 🔬 **Mathematical Foundation**
### **Correlation Calculations**
- **Pearson**: Measures linear correlation between patterns
- **Spearman**: Rank-based correlation for non-linear relationships
- **Cosine Similarity**: Vector-based similarity for pattern matching
### **Statistical Methods**
- **Z-Score**: (Value - Mean) / Standard Deviation
- **Pattern Normalization**: Price / Price
- **Volatility Percentile**: Historical ranking of current volatility
- **Momentum Calculation**: Price change over multiple periods
## 🎯 **Trading Strategies**
### **Conservative Approach**
- Wait for Perfect Buy Zone (85%+ completion)
- Use higher timeframes for confirmation
- Set stop-loss at recent swing low
- Take profits at resistance levels
### **Aggressive Approach**
- Trade on Strong Buy/Sell signals
- Use lower completion thresholds (70%+)
- Tighter stop-losses with faster exits
- Higher position sizes with confirmed trends
### **Hybrid Strategy**
- Combine with other indicators for confirmation
- Use different settings for different market conditions
- Scale in/out based on signal strength
- Adjust parameters based on market volatility
Fundur - Market Sentiment A Fundur - Market Sentiment A: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Market Sentiment A is a revolutionary multi-timeframe sentiment analysis indicator that combines advanced ZigZag pivot detection, wave-based structure analysis, and comprehensive market sentiment evaluation into one powerful trading tool. This indicator is designed to identify high-probability reversal points and trend continuations by analyzing market sentiment across 11 different timeframes simultaneously.
What Makes Market Sentiment A Unique?
Market Sentiment A is a sophisticated ZigZag system that utilizes the Market Sentiment B oscillator to perform advanced on-chart analysis against price action. By introducing Histogram-Correlated ZigZag Analysis - a breakthrough methodology that correlates sentiment histogram waves with actual price pivots to identify validated market extremes. Unlike static pivot indicators, Market Sentiment A provides dynamic analysis that adapts to changing market conditions while maintaining precise accuracy in pivot identification.
Core Methodology
The indicator operates on the principle that market sentiment oscillates in measurable waves that precede price movements. By analyzing sentiment patterns across multiple timeframes and correlating them with histogram wave behavior, traders can identify precise entry and exit points with quantifiable strength ratings and comprehensive wave event analysis.
Key Features
🎯 Revolutionary ZigZag System
Histogram-Correlated Detection : Unique correlation between sentiment waves and price pivots
Dynamic Speed Control : High, Medium, Low sensitivity settings for different market conditions
Validated Extremes : Only confirmed pivots are marked with comprehensive validation system
Real-Time Correlation : Live correlation between histogram turns and price extremes
📊 Multi-Timeframe Sentiment Engine
11 Timeframe Analysis : Simultaneous analysis across periods from 8 to 987 bars
Advanced Sentiment Calculation : Proprietary algorithm combining multiple sentiment factors
Momentum Wave Integration : 34-period momentum waves for trend context
Dynamic Smoothing : Optional smoothing for cleaner signals
🧠 Intelligent Wave Event Tracking
Green Wave Events : Bullish histogram wave analysis with comprehensive event detection
Red Wave Events : Bearish histogram wave analysis with detailed event tracking
Event Deduplication : Advanced system prevents duplicate event detection
10+ Event Types : MPIV, HTURN, TRI, SW, VOL, MDIV, HDIV, PDIV and more
⚖️ Advanced Strength Rating System
0-100 Strength Score : Comprehensive strength calculation for every pivot
Multi-Factor Analysis : Based on wave events, trend context, structure, and sentiment
Real-Time Calculation : Dynamic strength scoring as conditions change
Strength Breakdown : Detailed tooltip showing strength components
🎨 Sophisticated Visual System
Validated Pivot Labels : Clear ✓ markers for confirmed extremes
Structure Analysis : HH/HL/LH/LL structure identification with trend context
Dynamic ZigZag Lines : Connecting validated extremes with trend-based coloring
Bar Coloring Options : Momentum swings and market sentiment bar coloring
Comprehensive Tooltips : Detailed information on hover for every pivot
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart
Click the "Indicators" button or press "/" key
Search for "Fundur - Market Sentiment A"
Add the indicator to your chart
Step 2: Core System Configuration
ZigZag System Settings
✅ Enable ZigZag System: ON (Core functionality)
ZigZag Speed : Choose based on your trading style:
High Speed : Most sensitive, fastest detection (2-bar lookback) - Best for scalping
Medium Speed : Balanced approach (3-bar lookback) - Recommended for most traders
Low Speed : Most reliable, slower detection (4-bar lookback) - Best for swing trading
✅ Show ZigZag Lines: ON (Visual connection of validated pivots)
Bar Coloring Settings
⚠️ Momentum Swings: OFF (Avoid visual clutter initially)
✅ Market Sentiment: ON (Primary sentiment-based bar coloring)
Step 3: Label Display Configuration
Essential Labels (Recommended Settings)
✅ Show Validated Pivots (✓): ON (Core validated extremes)
⚠️ Show Potential Turns (●): OFF (Reduces noise - enable once familiar)
⚠️ Show Structure Labels: OFF (Start clean, enable for advanced analysis)
⚠️ Include Trend in Structure Labels: OFF (Advanced feature)
✅ Show Strength Rating (💪): ON (Critical for trade quality assessment)
⚠️ Show Market Sentiment Wave Events: OFF (Advanced feature for later)
Label Visual Customization
Label Coloring : Standard (Highs=Red, Lows=Green)
Label Size : Normal
Label Transparency : 0%
Text Transparency : 0%
Step 4: Alert System Setup
✅ Enable Alerts: ON
⚠️ Alert Potential Bullish Turns: OFF (Disabled by design to prevent noise)
⚠️ Alert Potential Bearish Turns: OFF (Disabled by design to prevent noise)
✅ Alert ONLY on Confirmed Extremes: ON (High-quality signals only)
✅ Include Wave Events in Confirmed Alerts: ON (Comprehensive context)
Basic Trading Guide
Understanding the Dynamic ZigZag System
Market Sentiment A is fundamentally a Dynamic ZigZag System that displays validated highs and lows on your price chart. The indicator uses Market Sentiment B wave calculations internally to determine when sentiment waves finish, but these histograms and oscillators are NOT displayed on your chart .
What You See on Your Chart:
✓ Validated Highs : Red checkmarks marking confirmed resistance levels
✓ Validated Lows : Green checkmarks marking confirmed support levels
ZigZag Lines : Connecting validated extremes to show market structure
💪 Strength Ratings : 0-100 scores indicating signal quality
Structure Labels : HH/HL/LH/LL showing trend context
How Validation Works (Behind the Scenes):
High Validation : Uses Market Sentiment B wave analysis to confirm when a price high represents a true resistance level
Low Validation : Uses Market Sentiment B wave analysis to confirm when a price low represents a true support level
Dynamic Detection : Continuously monitors sentiment waves to validate extremes in real-time
Quality Filtering : Only displays the most significant highs and lows based on wave completion
Key Trading Concept:
Focus entirely on the validated highs and lows displayed on your chart. These represent dynamic support and resistance levels that have been confirmed by underlying sentiment analysis. The histogram and oscillator calculations happen internally - your trading decisions should be based on price action around these validated levels.
Entry Strategies
Primary Strategy: Dynamic Support/Resistance Reversals
Setup : Wait for validated pivot with ✓ marker and strength rating displayed on chart
Entry Timing : Enter on the bar when validation occurs or on pullback to the validated level
Direction : Counter-trend to the validated extreme (buy at validated lows/support, sell at validated highs/resistance)
Confirmation : Look for strength rating above 60 for higher probability setups
Structure Context : Consider overall trend using HH/HL/LH/LL structure labels
Secondary Strategy: ZigZag Trend Continuation
Setup : Identify trend direction using consecutive validated highs and lows
Entry : Enter in trend direction when price pulls back to previous validated level
Confirmation : Look for structure labels confirming trend (HH/HL for uptrend, LH/LL for downtrend)
Strength Filter : Use strength ratings above 70 for trend continuation entries
Stop Loss Methodology
For Long Positions (Validated Lows) : Place stop below the validated low price level
For Short Positions (Validated Highs) : Place stop above the validated high price level
Alternative Method : Use previous validated extreme in opposite direction as stop level
Structure-Based Method : Use significant validated levels that would invalidate the trade setup
Buffer Consideration : Add small buffer beyond validated level to account for wicks and spread
Profit Taking Strategy
For Long Positions (Validated Low Entries):
Target 1 : Previous validated high shown on chart (75% of position)
Target 2 : Next significant validated high or key resistance level (50% of remaining 25% = 12.5% of original position)
Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position)
Management : Move stop loss to breakeven once first target (TP1) is executed
For Short Positions (Validated High Entries):
Target 1 : Previous validated low shown on chart (75% of position)
Target 2 : Next significant validated low or key support level (50% of remaining 25% = 12.5% of original position)
Target 3 : Extended targets using ZigZag structure analysis and trend context (remaining 12.5% of original position)
Management : Move stop loss to breakeven once first target (TP1) is executed
ZigZag Structure Trading Approach
Sideways Markets : Trade between validated highs and lows - buy at support, sell at resistance
Trending Markets : Use validated levels as pullback entry points in trend direction
Structure Breaks : Watch for breaks of significant validated levels to signal trend changes
Range Identification : Use consecutive validated highs and lows to identify trading ranges
Breakout Trading : Enter when price breaks beyond validated levels with strong momentum
Strength Rating Interpretation
Understanding the 0-100 Strength Score
The strength rating combines multiple factors:
Base Strength (25 points) : Fundamental pivot validation
Wave Events (12 points each) : Number and quality of wave events detected
Trend Context (5-10 points) : Alignment with overall trend direction
Structure Quality (3-8 points) : HH/HL/LH/LL structure strength
Sentiment Position (5-10 points) : Extreme sentiment readings
Momentum Context (5 points) : Momentum divergence confirmation
Strength Categories
90-100 : Exceptional strength - Highest probability setups
75-89 : Strong signal - High confidence trades
60-74 : Good signal - Solid trading opportunities
45-59 : Moderate signal - Use additional confirmation
30-44 : Weak signal - Proceed with caution
Below 30 : Very weak - Generally avoid
Wave Event Reference (Calculation Background)
Understanding Wave Events in Strength Calculations
Wave events are used internally by Market Sentiment A to calculate strength ratings and validate pivots. While these events may appear in alert messages or tooltips, they are not meant for direct trading decisions - they are calculation components that contribute to the overall strength score.
Key Wave Events (For Reference Only)
MPIV↑/MPIV↓ : Momentum pivot detection used in validation process
HTURN : Histogram turn identification used for wave completion
TRI↑/TRI↓ : Triangle pattern detection contributing to strength calculation
SW : Small wave indication affecting pivot quality assessment
VOL : Volume spike detection adding to strength scoring
MDIV↑/MDIV↓ : Momentum divergence contributing to validation strength
HDIV↑/HDIV↓ : Histogram divergence used in pivot confirmation
PDIV↑/PDIV↓ : Price divergence analysis for strength enhancement
How Wave Events Affect Your Trading
Strength Score Impact : More events generally result in higher strength ratings for validated pivots
Alert Context : Events may be mentioned in alerts to provide background on signal quality
Focus on Results : Instead of analyzing individual events, focus on the final strength rating and validated pivot levels
Trust the System : The indicator processes these events automatically - your job is to trade the validated highs and lows
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Core Settings:
ZigZag Speed: High (fastest detection for quick scalps)
Show Validated Pivots: ON
Show Strength Rating: ON
Bar Coloring: Market Sentiment
Visual Settings:
Label Size: Small (reduce visual clutter)
ZigZag Lines: ON
Potential Turns: ON (for immediate signals)
Trading Approach:
Focus on strength ratings above 70 for scalp entries
Quick entries at validated highs/lows with immediate execution
Tight stops just beyond validated levels
Target previous validated pivots shown on chart for quick profits
Use ZigZag structure to identify rapid reversal opportunities
Setup 2: Day Trading Configuration (5-15 minute charts)
Core Settings:
ZigZag Speed: Medium (balanced approach)
Show Validated Pivots: ON
Show Strength Rating: ON
Include Wave Events: ON (for context)
Visual Settings:
Label Size: Normal
Show Structure Labels: ON (for trend context)
ZigZag Lines: ON with trend coloring
Trading Approach:
Wait for strength ratings above 60 for quality setups
Use HH/HL/LH/LL structure labels for trend bias
Combine reversal trades at extremes with trend continuation at pullbacks
Hold positions targeting next validated pivot levels
Use ZigZag structure analysis for entry timing and market context
Setup 3: Swing Trading Configuration (1-4 hour charts)
Core Settings:
ZigZag Speed: Low (most reliable signals)
Show Validated Pivots: ON
Show Structure Labels: ON
Include Trend Analysis: ON
Visual Settings:
Label Size: Normal
Show all wave events for comprehensive analysis
Enable all alert types
Trading Approach:
Focus on strength ratings above 75 for swing positions
Emphasize trend continuation using ZigZag structure
Use validated level breaks for major position adjustments
Hold positions across multiple sessions targeting distant validated levels
Use comprehensive structure analysis (HH/HL/LH/LL) for entries/exits
Setup 4: Position Trading Configuration (4H-Daily charts)
Core Settings:
ZigZag Speed: Low (maximum reliability)
Show Validated Pivots: ON
Show Structure Labels: ON
Show all analysis features
Visual Settings:
Clean, comprehensive labeling
Full wave event display
Trend-based coloring for major bias
Trading Approach:
Only trade strength ratings above 80 for position entries
Focus on major ZigZag structure changes and validated level breaks
Use long-term structure analysis (HH/HL/LH/LL) for bias
Hold positions for weeks to months targeting major validated levels
Align with fundamental analysis and major market structure
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs:
Use Medium to Low speed settings
Focus on major session changes
Pay attention to news event correlation
Use strength ratings above 70
For Crypto Assets:
Medium speed for 24/7 market adaptation
Higher volatility requires strength above 75
Monitor weekend behavior patterns
Consider market sentiment cycles
For Stock Markets:
Align with market hours
Consider earnings and economic events
Use sector-specific analysis
Respect market close/open dynamics
Visual Components
Core Visual Elements
✓ Validated Pivots : Green checkmarks for confirmed lows, red for confirmed highs
● Potential Turns : Small dots showing histogram turn correlations (optional)
ZigZag Lines : Connecting validated extremes with trend-based coloring
💪 Strength Ratings : Numerical strength scores from 0-100
Structure Labels : HH/HL/LH/LL with trend context (optional)
Bar Coloring System
Market Sentiment Coloring : Based on sentiment oscillator position and momentum
Extreme Conditions : Special coloring for extreme overbought/oversold conditions
Momentum Swing Coloring : Alternative coloring based on momentum analysis
Advanced Visual Features
Wave Event Labels : Comprehensive event display within pivot labels
Trend Context : Dynamic trend identification and display
Strength Breakdown : Detailed tooltips showing strength components
Custom Coloring Modes : Standard vs trend-based coloring options
Alert System
Core Alert Types
Validated High Confirmed : When red wave validates ultimate high with full context
Validated Low Confirmed : When green wave validates ultimate low with full context
Trend Change Detected : When structure analysis detects trend shifts
Alert Message Structure
Each alert includes:
Timeframe identification
Signal type (BULLISH/BEARISH)
Structure context (HH/HL/LH/LL)
Strength score with 💪 rating
Exact price level
Wave events context (if enabled)
Setting Up Alerts
Enable desired alert types in indicator settings
Focus on "Confirmed Extremes" alerts for quality
Enable wave events for comprehensive context
Test alerts on historical data first
Set up multiple notification methods
Risk Management Framework
Strength-Based Position Sizing
Strength 90-100 : Maximum position size (3-5% risk)
Strength 75-89 : Large position size (2-3% risk)
Strength 60-74 : Standard position size (1-2% risk)
Strength 45-59 : Small position size (0.5-1% risk)
Below 45 : Avoid or minimal size (0.25% risk maximum)
Stop Loss Guidelines
Primary Method : Always use validated pivot levels for stops
Buffer Method : Add small buffer beyond validation level
Multiple Timeframe : Consider higher timeframe validated levels
Wave Event Context : Adjust stops based on event confluence
Risk-Reward Optimization
Minimum R:R : 1.5:1 for all trades
Preferred R:R : 2:1 or better for strength above 70
Exceptional Setups : 3:1+ for strength above 85
Position Management : Take 75% at TP1, 50% of remaining at TP2, close remaining at TP3
Stop Management : Move stop to breakeven after TP1 execution
Best Practices
Signal Quality Assessment
Always wait for validated pivots with ✓ checkmarks displayed on chart
Prioritize strength ratings above 60 for trade quality
Focus on the validated high/low levels rather than underlying calculations
Consider HH/HL/LH/LL structure labels for directional bias
Use ZigZag line connections to understand market structure flow
Entry Timing Optimization
Enter on validation bar or immediate pullback to validated level
Use lower timeframes for precise entry refinement around validated levels
Wait for strength score calculation completion before entry
Monitor price action around validated highs and lows
Consider multiple timeframe validated level alignment
Exit Strategy Management
Use opposite validated pivots displayed on chart as primary targets
Execute Fundur 3-stage exit: 75% at TP1, 12.5% at TP2, 12.5% at TP3
Move stop loss to breakeven immediately after TP1 execution
Monitor strength ratings of new validated levels that could reverse remaining position
Watch for structure changes (trend breaks) via HH/HL/LH/LL labels for early exit consideration
Common Mistakes to Avoid
Signal Interpretation Errors
Don't trade potential turns without ✓ validation markers
Never ignore strength ratings below 45 - they indicate weak signals
Don't chase signals after significant movement away from validated levels
Avoid overriding clear ZigZag structure and trend context
Don't ignore the relationship between consecutive validated highs and lows
Risk Management Failures
Never risk more than the strength score suggests for position sizing
Don't move stops against validated levels - they represent key structure
Avoid oversizing on "sure thing" setups - even high-strength signals can fail
Don't ignore multiple timeframe validated level context
Never trade without clear invalidation levels (validated highs/lows for stops)
System Usage Mistakes
Don't enable all features immediately - start simple
Avoid changing speed settings mid-session
Don't ignore alert system capabilities
Never disable core validation features
Don't overlook customization for your chart setup
Advanced Techniques
Multi-Timeframe ZigZag Analysis
Use higher timeframe validated levels for major bias and targets
Align lower timeframe entries with higher timeframe validated structure
Look for validated level confluence across timeframes
Monitor strength rating consistency of validated levels across periods
Advanced Structure Pattern Recognition
Identify recurring validated level patterns and their outcomes
Recognize high-probability ZigZag structure sequences
Use historical validated level patterns for target projection
Combine ZigZag analysis with other Fundur technical analysis tools
Advanced Alert Utilization
Create custom alert combinations based on strength thresholds
Use validated level break alerts for position management
Combine strength rating filters with validated pivot alerts
Develop systematic responses to different validated level types
Conclusion
The Fundur - Market Sentiment A indicator represents a breakthrough in technical analysis, providing a dynamic ZigZag system that displays validated highs and lows with unprecedented accuracy. By following the methodologies outlined in this guide and adapting the settings to your trading style, you can harness the full power of this sophisticated system for more precise and profitable trading decisions.
The key to success with Market Sentiment A lies in understanding that it is fundamentally a dynamic support and resistance system. Focus on the validated highs and lows displayed on your chart, use the strength ratings to assess signal quality, and leverage the structure analysis for trend context. Start with conservative settings, focus on high-strength signals, and gradually incorporate advanced features as you become familiar with the system's behavior across different market conditions.
Remember that this indicator provides the tools for identification and analysis - successful trading still requires proper risk management, psychological discipline, and continuous learning. Use the strength rating system as your primary guide, respect the validated pivot methodology, and always prioritize capital preservation over profit maximization.
Option CalculatorOption Calculator – Comprehensive Feature Guide
The aiTrendview Option Calculator is a feature-rich options trading dashboard built using Pine Script, designed for real-time market interpretation and strategy selection. It integrates Black-Scholes-based pricing models with dynamic market inputs to help traders evaluate directional bias, volatility, risk, and potential profitability in a structured, intuitive format. The tool supports both beginner and experienced options traders in making data-driven decisions.
Core Inputs and Pricing Foundations
Users can input the strike price, days to expiration, implied volatility (IV), interest rate, and option type (call or put). These values feed directly into calculations for the option's theoretical price, Greeks, and expected move. For example:
• Strike Price helps define moneyness, impacting delta and risk/reward balance.
• Days to Expiry determines the speed of time decay (theta).
• Risk-Free Rate adjusts for time value and interest rate impact (rho).
• Implied Volatility affects premium pricing and vega exposure.
• Option Type sets the directional foundation for strategy analysis.
Live Market Data Integration
The script pulls current underlying price, price change, and volume comparison against a moving average (e.g., current volume vs. 20-day average). This helps identify unusual trading activity or volume spikes. Volatility readings are also incorporated using ATR or external volatility indexes to enhance the realism of IV assessments.
Greek Calculations
The dashboard provides visual and numerical values for all five major Greeks:
• Delta shows directional sensitivity and is plotted with a visual bar.
• Gamma represents the rate of delta change, especially critical near-the-money.
• Theta measures time decay and is most impactful in the final weeks before expiration.
• Vega tracks sensitivity to volatility shifts, crucial for premium-selling strategies.
• Rho reflects sensitivity to interest rates, primarily relevant in long-dated options.
Each Greek is calculated based on real-time inputs, providing a statistical framework for assessing risk and return.
Market Sentiment & Risk Environment
A sentiment scoring system interprets the put-call ratio (PCR), volume trends, and price momentum (e.g., RSI). IV levels are color-coded (e.g., low, medium, high) to identify whether options are relatively cheap or expensive. These values support better timing decisions and help identify whether to be a buyer or seller of premium.
Strategy Recommendation Engine
The script dynamically evaluates six core strategies based on current data:
1. Long Call
2. Short Put
3. Long Put
4. Bull Call Spread
5. Long Straddle
6. Iron Butterfly
Each strategy is assigned a confidence score (0–100%) and updated in real-time. This system is designed to match the appropriate strategy to market conditions such as trend, volatility, and time to expiration.
Risk-Adjusted Trading Insights
The dashboard helps traders evaluate whether to initiate trades, reduce exposure, or wait:
• High Confidence (80%+): Favorable environment; standard sizing recommended.
• Moderate Confidence (60–80%): Trade with caution and reduced risk.
• Low Confidence (<60%): Consider avoiding the trade or waiting for better setup.
It also supports risk mitigation through defined-risk strategies and provides guidance on stop-loss, profit targets, and time-based exits (e.g., managing options with <21 days to expiry).
Real-Time Monitoring
The script continuously tracks:
• Changes in Greeks as price, volatility, or time evolve.
• Profit probability estimates using expected move and breakeven pricing.
• Volume activity and IV rank to spot institutional behavior.
This empowers traders to manage trades proactively, adjust exposure, or lock in profits based on changing market conditions.
Practical Use Case Flow
Step 1: Input Setup
Enter option-specific parameters (strike, expiry days, IV, etc.) and let the dashboard auto-calculate risk metrics.
Step 2: Analyze Market
Use sentiment analysis, IV level, and volume data to understand the environment.
Step 3: Select Strategy
Rely on the confidence score and recommendation engine to choose a suitable options strategy.
Step 4: Manage Risk
Apply size rules based on signal strength, adjust based on exposure, and set alerts if needed.
Step 5: Monitor Outcomes
Track Greeks, probability, and progress metrics to stay informed throughout the trade.
Trading Environment Adaptation
• Low IV: Favor long premium strategies (e.g., long straddles, long calls).
• High IV: Favor premium selling strategies (e.g., iron condors, credit spreads).
• Bullish Markets: Focus on call-based trades or bullish spreads.
• Sideways Markets: Use neutral setups like iron butterflies or calendar spreads.
Position sizing and stop-loss logic are aligned with industry practices (e.g., risk no more than 2% per trade, take profit at 50%, and cut losses at double the premium received).
Dashboard Interpretation Guide
• Green: High confidence strategy, favourable IV, and strong volume confirmation.
• Yellow: Mixed signals or moderate conviction – proceed with caution.
• Red: Low confidence, poor conditions – better to wait for clearer opportunities.
Disclaimer from aiTrendview
This script is intended for educational and informational use only. It does not offer financial advice or trading signals, nor does it guarantee results. aiTrendview and its affiliates are not responsible for any financial loss or decision made using this tool. Options trading involves substantial risk and is not suitable for all investors. Past performance of any strategy or metric does not guarantee future results. Users are encouraged to consult with a certified financial advisor and conduct independent research before making trading decisions.
TZtraderTZtrader
This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea.
Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status.
The script
First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup.
Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button.
One visual with three setups.
The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red).
Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals.
The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided
The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts.
The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short.
The table below gives a summary of scripted alerts:
Setup = Where = When = Purpose
Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts
Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes
Long = COG = First crossing = Uptrend might end warning
Long = Orange Zone = Bars come from higher zones = Uptrend ended take care
Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long
Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts
Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes
Short = COG = First crossing = Downtrend might end warning
Short = Green Zone = Bars come from lower zones = Downtrend ended take care
Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short
You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation.
When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones.
Suppressing false and annoying signals
The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts.
The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur.
Inputs
“Setup”, default is long, drop down menu provides long, short and bare.
“Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works.
“show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’.
Logical Stops
The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup.
COG versus other lines
Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel.
A multi timeframe application.
In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches.
The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits.
You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week).
Dear day-traders, may this tool be helpful and may your days be blessed.
Take care
Breakout Range Signal with Quality Analysis [Dova Lazarus]📌 Breakout Range Signal with Quality Analysis
🎓 Training-focused indicator for breakout logic, SL & TP behavior and signal quality assessment
🔷 PURPOSE
This tool identifies breakout candles from a calculated channel range and visually simulates entries, stop losses, and take profits, providing live and historical performance metrics.
⚙️ MAIN SETTINGS
1️⃣ Channel Setup
channel_length = 10 → how many candles are averaged to form channel boundaries
channel_multiplier = 0.0 → adds expansion above/below the base channel
channel_smoothing_type = SMA → smoothing method for high/low averaging
📊 The channel consists of two moving averages: one from highs, the other from lows. When expanded (via multiplier), it creates a buffer range for breakout validation.
2️⃣ Signal Detection
Body > Channel % = 50 → a breakout candle's body must exceed 150% of the channel width
Signal Mode:
• Weak → every valid breakout candle is highlighted
• Strong → only the first signal in a sequence is shown (helps reduce noise)
🟦 Bullish signals (blue):
• Candle opens inside the channel
• Closes above the channel
• Body is large enough
• Optional: confirms with trend (if enabled)
🟨 Bearish signals (yellow):
• Candle opens inside the channel
• Closes below the channel
• Body is large enough
• Optional: confirms with trend
3️⃣ Trend Filter (optional)
Enabled via checkbox
Uses a higher timeframe MA to filter signals
Bullish signals are allowed only if price is below the trend MA
Bearish signals only if price is above it
⏱️ trend_timeframe = 1D (typically set higher than the chart's timeframe)
🟢 Trend line is plotted if enabled
🎯 ENTRY, STOP LOSS & TAKE PROFIT LOGIC
SL and TP are based on channel width, not fixed pip/tick size:
📍 Entry Price = close of the breakout candle
🛑 Stop Loss:
• Bullish → below the lower channel border (minus offset)
• Bearish → above the upper channel border (plus offset)
🎯 Take Profit:
• Bullish → entry + channel width × profit multiplier
• Bearish → entry − channel width × profit multiplier
You can control:
Profit Target Multiplier (e.g., 1.0 → TP = 1×channel width)
Stop Loss Target Multiplier (e.g., 0.5 → SL = 0.5×channel width)
Signals to Show = how many historical SL/TP setups to display
📈 Lines and labels ("TP", "SL") are drawn on the chart for clarity.
🧪 QUALITY ANALYSIS MODULE
If enabled, the indicator will:
Track each new signal (entry, SL, TP)
Analyze outcomes:
• Win = TP hit before SL
• Loss = SL hit before TP
• Expired = signal unresolved after N bars
Display statistics in a table (top-right corner):
📋 Table fields:
✅ Overall win rate
📈 Bullish win rate
📉 Bearish win rate
🔢 Total signals
🕓 Pending (still active trades)
Maximum bars to wait for outcome is customizable (max_bars_to_analyze).
📐 VISUALIZATION TOOLS
TP / SL lines per signal
Labels “TP” and “SL”
Optional channel lines and trendline for better context
Colored bars for valid signals (blue/yellow)
📌 BEST USE CASES
Understand how breakout signals are formed
Learn SL/TP logic based on dynamic range
Test how volatility affects trade outcomes
Use as a visual simulation of trade behavior over time
Gann Single Square Swing Trading System with Gann AnglesGann Single Square Swing Trading System
This script automatically detects "squares" - geometric patterns where price movement equals time movement. When price moves the same distance as the number of bars (time), it creates powerful support/resistance levels based on Gann theory.
Key Visual Elements
• Box: The detected square pattern
• Dark Blue Line (50%): Most important trading level
• Green Lines: Profit target levels (125%, 150%)
• Red Lines: Stop loss levels (-25%, -50%)
• Colored Angle Lines: Gann angles for trend direction
• Quality Score: Blue label showing setup strength (aim for 70%+)
Simple Trading Rules
LONG Trades (Green 🟢 Square)
1. Entry: Buy when price touches the dark blue 50% line from above
2. Stop Loss: Place below the red -25% line
3. Take Profit: Exit at green 125% line (first target) or 150% line (second target)
SHORT Trades (Red 🔴 Square)
1. Entry: Sell when price touches the dark blue 50% line from below
2. Stop Loss: Place above the red -25% line
3. Take Profit: Exit at green 125% line (first target) or 150% line (second target)
Entry Checklist
✅ Square quality score > 70%
✅ Price touches 50% level (dark blue line)
✅ Volume above average (if volume filter enabled)
✅ Clear square formation visible
Alerts
The script generates automatic alerts when price reaches the 50% trading level. Enable alerts in TradingView to get notified of setups.
Bottom Line: Wait for the alert → Check quality score → Enter at 50% level → Set stop at red line → Take profit at green line.
BullTrading Easy Tops & BottomsTRADING TOOL OVERVIEW
The Easy Tops & Bottoms indicator identifies potential reversal points on intraday charts by analysing volatility patterns and momentum shifts during major trading sessions. It projects horizontal zones that may act as support or resistance, adapting dynamically to price behavior.
This indicator is designed for use on intraday timeframes from 1-minute to 15-minute charts only.
HOW THE INDICATOR WORKS
The indicator uses an adaptive algorithm to evaluate momentum exhaustion and volatility clusters within intraday sessions (aligned with New York local time). It generates time based zones when conditions indicate potential trend reversals, such as after volatility spikes followed by contraction. These zones extend horizontally until price breaks boundaries or a bar limit is reached.
- Support Zones : Formed during bullish sessions with tail volatility, suggesting potential bottoms.
- Resistance Zones : Formed during bearish sessions with wick volatility, suggesting potential tops.
Zones are filtered for significant sessions to focus on meaningful price action. Signals trigger based on price interaction with the zone, requiring a specific relationship between the candle's low, high, and close relative to the zone level—for example, engulfing the level but closing in the reversal direction.
Note that signals and zone behaviors will differ across timeframes (e.g., 1m, 5m, 15m) due to varying candle sizes affecting how closes relate to zone triggers. Shorter timeframes may show more frequent but noisier interactions, while longer ones capture broader momentum shifts.
USERS GUIDE
What the Indicator Does?
The indicator has two operating modes: Buy/Sell Signal Mode (suitable for beginners and trend-following traders—important note: trend-following traders must filter according to their own trend criteria) and Support/Resistance Mode, which is a full and complete trading system.
- Plots Dynamic Zones: Horizontal boxes appear at qualifying session ends, representing support (bottoms) or resistance (tops).
- Active zones use a semi-transparent colour (customisable) and extend rightward while valid.
- Expired zones (after break or timeout) shift to a historical colour for reference.
- Generates Signals (in Buy/Sell Signal Mode): Labels appear on zone interactions confirming reversal potential:
- "BUY" (green) for support zones.
- "SELL" (red) for resistance zones.
- Time Based Focus: Ties to intraday periods like Asian, London, and New York transitions. Use NY Local Time in your charts.
- Additional Elements: Includes a watermark with symbol, timeframe, and date; an optional NotePad table for notes.
How to Interpret Signals
- Zone Dynamics: Active zones indicate ongoing validity; expiration signals a potential shift (e.g., a support break may turn it into resistance).
- Signal Triggers: Require price to test the zone level with a closing bias toward reversal. These are suitable for beginners learning basic reversals or trend traders adding their own filters (e.g., moving averages for direction).
- Value for Users: Beginners can use zone height to set stop-loss (SL) below/above the box, enabling a 1:2 risk-reward ratio (RR) for take-profit (TP) at twice the zone distance.
- Timeframe Variations: Expect different signals on 1m vs. 15m, as smaller candles on lower frames may trigger more selectively based on close positions relative to zones.
- Note on Entries in Internal Range Zones: For all entries (the Internal Range inside range zones), when a big zone swallows smaller zones ahead, consider using the bigger zone or the SL price level as an entry level.
PRACTICAL TRADING SCENARIOS
Here, we expand on how to apply the indicator in real-world trading, with detailed examples for each mode. These scenarios assume a basic understanding of risk management, such as position sizing at 0.5-1.5% of account capital per trade. Always backtest these ideas on historical data for your specific instrument (e.g., forex pairs like EUR/USD or indices like US30).
Buy/Sell Signal Mode: Reversal and Trend-Following Applications
This mode is ideal for spotting reversal opportunities while allowing flexibility for trend filters. Signals appear as labels when price interacts with zones in a confirmatory way, making it beginner-friendly for learning entry points. Trend-following traders should overlay their preferred trend indicators (e.g., a 50-period EMA) to avoid counter-trend trades.
Important critical note: In this mode, the 1:2 RR is based and measured directly on the zone height (not on the actual distance from entry price to SL). The correct SL placement is at the far edge of the zone (e.g., zone bottom for buys, zone top for sells), and TP is set at twice the zone height from the signal level (the key trigger price where the label appears).
- Basic Reversal Scalping (Beginner-Friendly): On a 5-minute chart during the London session open, after a sharp down-move in EUR/USD, a support zone forms with signal level at 1.0850 (zone top) and height of 10 pips (zone bottom at 1.0840). Wait for a "BUY" signal when price dips to test the zone (low touches 1.0850) but closes above it. Enter long at the current price (e.g., 1.0855). Set SL at the zone bottom (1.0840), and TP at the signal level + 2x zone height (1.0850 + 20 pips = 1.0870). This ensures the 1:2 RR is measured purely on the zone (risk = 10 pips zone height, reward = 20 pips), regardless of exact entry. If volatility is high (filter enabled), this setup prioritizes stronger sessions for better win rates.
- Trend-Following with Filter: On a 15-minute chart of GBP/JPY during New York AM, the overall trend is upward (price above a 200-period SMA). A support zone appears with signal level at 185.20 (zone top) after a pullback, with a height of 20 pips (zone bottom at 185.00). Ignore any "SELL" signals as they counter the trend; instead, wait for a "BUY" when price tests the zone from above and closes bullishly. Enter long at the current price (e.g., 185.25). Set SL at the zone bottom (185.00), and TP at the signal level + 2x zone height (185.20 + 40 pips = 185.60). Add a trend filter like MACD histogram turning positive for confirmation, reducing whipsaws in ranging markets. The RR remains 1:2 based on the zone (risk = 20 pips height, reward = 40 pips).
- Range-Bound Day Trading: In a 1-minute chart of USD/JPY during Asian session consolidation, multiple zones form stacking as support/resistance. Monitor for "SELL" at a resistance zone with signal level at 147.80 (zone bottom) and height of 8 pips (zone top at 147.88) after an uptick. Enter short on the signal at the current price (e.g., 147.78). Set SL at the zone top (147.88), and TP at the signal level - 2x zone height (147.80 - 16 pips = 147.64). Shorter timeframes like 1m may produce more signals due to tighter candle closes, but use the volatility filter to avoid flat periods—test historically to see how 1m noise compares to 15m's smoother triggers. The RR is fixed at 1:2 on the zone (risk = 8 pips height, reward = 16 pips).
Support/Resistance Mode: Standalone Contrarian System for Fading Breaks
This mode hides signals and labels, turning the indicator into a complete contrarian trading system focused on fading zone breaks. It treats broken zones as "flips"—a broken support becomes potential resistance, and vice versa. Entries use limit orders at a distance equal to the zone height, with fixed 1:2 RR based on that height. No additional filters are required, but combining with session timing enhances edge. Alerts fire on new zone creation, allowing proactive setup.
When a setup results in a stop loss in Support/Resistance Mode, the original zone can be used for a "Stop & Reverse" trade with the same trading proportions. This means reversing the position direction upon hitting SL, using the original zone to set the new entry (at the box top/bottom trigger level), SL (at the opposite box edge), and TP (2x the height beyond entry)—effectively capturing momentum in the opposite direction while maintaining the 1:2 RR.
- Fading a Support Break (Short Setup): On a 5-minute chart of AUD/USD during NY PM, a support zone at 0.6650 (height 12 pips) breaks when low pierces below 0.6638. Consider the zone flipped to resistance. Place a sell limit order 12 pips above the broken zone (at 0.6662), SL 12 pips above entry (0.6674), and TP 24 pips below entry (0.6638, achieving 1:2 RR). This anticipates sellers re-entering on pullbacks to the former support. If the volatility filter is on, this only applies to significant breaks; historically, test on pairs with clear pip values to adjust for spreads.
Stop & Reverse Scenario: If the short position hits SL at 0.6674 (price rallies above), reverse to a long position. Use the original 12-pip zone: Place a buy limit order on the original broken support (now acting as flipped resistance, at 0.6650 box top), SL 12 pips below the new entry (0.6638 box bottom), and TP 24 pips above the new entry (0.6674, maintaining 1:2 RR). This captures potential upside momentum after the false break.
- Fading a Resistance Break (Long Setup): In a 15-minute chart of Nasdaq futures (NQ) during London close, a resistance zone at 18500 (height 50 points) breaks upward (high > 18550). Flip it to support. Place a buy limit order 50 points below the broken zone (at 18450), SL 50 points below entry (18400), TP 100 points above entry (18550). This catches pullbacks in uptrends. Longer timeframes like 15m may show fewer but more reliable breaks due to broader candle relationships—compare to 1m, where smaller candles might invalidate zones quicker.
Stop & Reverse Scenario: If the long position hits SL at 18400 (price drops below), reverse to a short position. Use the original 50-point zone: Place a sell limit order on the original broken resistance (now acting as flipped support, at 18500 box bottom), SL 50 points above the new entry (18550 box top), and TP 100 points below the new entry (18400, maintaining 1:2 RR). This captures potential downside momentum after the false break.
- Multi-Zone Contrarian Scalping in High-Volatility Sessions: On a 1-minute chart of Bitcoin (BTC/USD) during NY open, several zones form and break in quick succession. After a resistance at 65000 (height 200 USD) breaks, place buy limit 200 USD below (64800), SL at 64600, TP at 65200. Conversely, for a broken support at 64000 (height 150 USD), sell limit 150 USD above (64150), SL 64300, TP 63850. Use the max bars setting to limit zone lifespan in fast markets; enable volatility filter to focus on explosive sessions like news releases. This mode's standalone nature suits automated mindsets—backtest to quantify edge, noting 1m's frequent triggers vs. 15m's strategic ones.
Stop & Reverse Scenario: For the buy after resistance break, if it hits SL at 64600 (price falls below), reverse to short. Use the original 200 USD zone: Place a sell limit order on the original broken resistance (now acting as flipped support, at 65000 box bottom), SL 200 USD above the new entry (65200 box top), TP 400 USD below the new entry (64600, maintaining 1:2 RR). Similarly, for the sell after support break, if it hits SL at 64300 (price rallies above), reverse to buy: Use the original 150 USD zone: Place a buy limit order on the original broken support (now acting as flipped resistance, at 64000 box top), SL 150 USD below the new entry (63850 box bottom), TP 300 USD above the new entry (64300, maintaining 1:2 RR). This captures potential momentum after the false breaks.
- Risk Considerations for Both Modes: Always test scenarios historically and adjust for instrument specifics like pip/point values and spreads. For example, forex might use 1-2 pip buffers, while crypto needs larger due to volatility. This is not trading advice; users should evaluate independently and consult professionals.
KEY SETTINGS
- Indicator Mode: "Buy/Sell Signal Mode" for signals; "Support/Resistance Mode" for zones only.
- Show S/R Zones: Toggle box visibility.
- Colours: Customise active/historical zones, buy/sell labels.
- Max Bars for Signal: Zone extension limit (default: 288).
- Require Significant Volatility: Filter for notable sessions (default: true).
- Days to Keep Historical Zones: Retention period (default: 7).
- Show NotePad?: Toggle notes table.
ALERTS
- Signal Mode: On BUY/SELL triggers.
- S/R Mode: On new zone creation.
Backtest thoroughly before use.
Why Protected?
This script uses a proprietary zone detection method designed to highlight support/resistance zones in a clear, structured way. To maintain the integrity and unique utility of the algorithm, the code is closed-source.
Important Considerations
This tool does not guarantee profits and is not intended to replace sound trade management or risk discipline. It is designed to aid traders in visualiSing market structure. Use responsibly with appropriate risk measures.
Legal Disclaimer
This indicator is provided for educational and informational purposes only. It is not intended as financial, investment, or trading advice, and does not constitute a recommendation to buy, sell, or hold any financial instrument.
Trading financial markets involves substantial risk. Past performance of any trading strategy or indicator is not indicative of future results. Users of this indicator assume full responsibility for their trading decisions. No guarantees are made regarding the accuracy, reliability, or profitability of the signals generated by this tool.
This indicator is published as-is, without any express or implied warranties. The publishers shall not be held liable for any losses or damages, direct or indirect, arising from the use, misuse, or reliance on this tool.
All trading decisions should be made with consideration of your financial situation and risk tolerance. Consultation with a licensed financial advisor is strongly recommended before making any investment decisions.
By using this indicator, you acknowledge and agree to these terms. Your use constitutes acceptance of full responsibility and the understanding that trading is inherently risky and should be approached with caution and discipline.
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.
True Market Structure [Advanced Liquidity Hunter] v1True Market Structure v1
📌 Table of Contents
1. Introduction
2. Core Concepts
3. Indicator Components
4. Configuration
5. Signal Interpretation
6. Trading Strategies
7. Risk Management
8. FAQ
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🎯 Introduction
What is True Market Structure?
True Market Structure is an advanced technical analysis indicator that reveals hidden market mechanisms. Based on Smart Money Concepts (SMC) and ICT (Inner Circle Trader) methodology, it identifies where large financial institutions hunt retail traders' stop losses.
Who is this indicator for?
• ✅ Beginners - Intuitive visualizations and clear signals
• ✅ Intermediate - Deeper market structure analysis
• ✅ Advanced - Full parameter control and advanced strategies
Key Benefits
• 🔍 Sees the invisible - Hidden liquidity levels
• 🎯 Precise signals - Based on real data
• ⚡ Real-time - Instant analysis
• 🛡️ Capital protection - Warns against traps
💡 Pro Tip: Start with 15M timeframe! That's where most action happens - stop hunts every few candles, retail traps, liquidity battles. It's the best "microscope" to understand how the market really works.
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📚 Core Concepts
Smart Money vs Retail Money
Smart Money:
• Banks, hedge funds, large institutions
• Create market moves, don't follow them
• Exploit retail predictability
Retail Money:
• Individual traders
• Often act emotionally
• Place stop losses at predictable levels
Liquidity
Liquidity refers to areas where many orders are waiting:
• Stop losses above highs (shorts)
• Stop losses below lows (longs)
• Orders at round numbers
Key principle: Smart Money needs liquidity to enter/exit large positions. That's why they "hunt" stop losses first, then make the real move.
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🔧 Indicator Components
1. 💧 Liquidity Pools
What is it?
• Price levels tested multiple times
• Stop loss accumulation areas
• Displayed as blue horizontal lines
How to read?
• LIQ HIGH x15 = Level tested 15 times from above
• LIQ LOW x8 = Level tested 8 times from below
• Higher number = stronger zone
Significance:
• Price magnet
• High probability of reaction
• Smart Money target
2. 🎣 Stop Hunts
What is it?
• Candles with long wicks
• Brief penetrations of important levels
• Marked with purple labels
Types:
• STOP HUNT ⬆ - Upward hunt (shorts' stop losses)
• STOP HUNT ⬇ - Downward hunt (longs' stop losses)
Characteristics:
• Long wick (minimum 2x larger than body)
• Wick must also be larger than 0.5 ATR (default)
• Breaks recent high/low from lookback period
• Quick price return
3. 🪤 Trapped Traders
What is it?
• Areas where retail got trapped
• Failed breakouts that didn't hold
• Colored rectangles on chart
Trap types:
• 🔴 TRAPPED LONGS - Buyers caught at top
• 🟢 TRAPPED SHORTS - Sellers caught at bottom
Mechanism:
1. Important level break
2. Retail enters breakout direction
3. Price returns leaving them at loss
4. Stop losses get activated
4. 🎪 Inducement Levels
What is it?
• "Too obvious" support/resistance
• Levels respected minimum 3 times
• Orange dashed lines
Why is it a trap?
• Look like perfect trading spots
• Attract retail traders' attention
• Smart Money uses them to collect liquidity
Example:
• 100,000 level on BTC - round number
• 3 bounces = "strong support"
• Retail buys, Smart Money sells to them
5. ⏰ Kill Zones
What is it?
• Highest Smart Money activity periods
• Red background on chart
• Maximum manipulation time
Default Kill Zones:
• 🌆 London Open (08:00-09:00 UTC)
• 🏙️ NY Open (13:00-14:00 UTC)
• 🌃 Midnight (00:00-01:00 UTC)
Trading Sessions (chart background):
• 🌏 Asian (00:00-08:00 UTC) - Gray background
• 🇬🇧 London (08:00-16:00 UTC) - Blue background
• 🇺🇸 New York (13:00-21:00 UTC) - Orange background
Note: London and New York sessions overlap (13:00-16:00 UTC) - this is the highest liquidity period!
6. 🎯 Smart Money Signals
What is it?
• Potential institutional entry points
• Large labels with 🎯 emoji
• Appear after stop hunts
Conditions:
1. Stop hunt in one direction
2. High volume (2x average)
3. In Kill Zone
4. Direction reversal
7. 📊 Market Analysis Table
The table displays 9 rows with key information:
1. Session - Current trading session (ASIA/LONDON/NEW YORK/CLOSED)
2. Kill Zone - Zone status (🔴 ACTIVE / ✅ SAFE)
3. Liquidity Pools - Number of liquidity zones found
4. Inducement Levels - Number of bait levels
5. Traps (50 bars) - Number of traps in last 50 bars
6. Market Bias - Market direction:
o BULLISH 📈 (close > SMA50 and EMA21)
o BEARISH 📉 (close < SMA50 and EMA21)
o NEUTRAL ➡️ (other cases)
7. Volume - Volume status:
o 🔥 EXTREME (>2x average)
o ⬆️ HIGH (>1.5x average)
o NORMAL (>average)
o ⬇️ LOW (3 traps)
o ⚠️ CHOPPY (>5 traps)
o 👀 WATCH LIQUIDITY (>3 liquidity zones)
o ✓ NORMAL (other)
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⚙️ Configuration
Step 1: Basic Configuration
Where to find settings:
• Method 1: Click the ⚙️ (gear) icon next to indicator name on chart
• Method 2: Double-click any indicator line/label
• Method 3: Right-click → "Settings" on indicator name
🌍 Timezone Setting
UTC Offset: Your timezone
Examples:
- London: 0 (winter) or +1 (summer)
- New York: -5 (winter) or -4 (summer)
- Tokyo: +9
🎚️ Sensitivity Adjustment
For beginners - Default settings:
• Lookback Period: 30
• Detection Sensitivity: 0.3
• Min. Touches: 2
For different timeframes:
• 15M: Sensitivity 0.2-0.3, Lookback 20-30
• 1H: Sensitivity 0.3-0.4, Lookback 30-40
• 4H: Sensitivity 0.4-0.5, Lookback 40-50
For different instruments:
• Forex Majors (EUR/USD): Sensitivity 0.1-0.2
• Indices (S&P500;): Sensitivity 0.2-0.4
• Crypto (BTC): Sensitivity 0.4-0.8
• Stocks: Sensitivity 0.3-0.5
Step 2: Advanced Configuration
🔧 Liquidity Zones Parameters
• Min. Touches (1-5): Less = more signals
• Lookback (20-200): More = further levels
• Max Zones (1-10): Display quantity control
🎣 Stop Hunt Parameters
• Wick/Body Ratio (1-5): Lower = more signals
• Min. Wick Size (0.1-2 ATR): Filters small wicks
🎯 Smart Money Analysis
• Require Kill Zone: Enable for fewer signals
• Volume Multiplier: Higher = only big moves
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📖 Signal Interpretation
Note: Most examples are shown on 15M timeframe, because that's where you can best see all market manipulations in action!
Signal Importance Hierarchy
1. 🎯 Smart Money Signal - Strongest signal
2. 🪤 Trapped Traders - High reliability
3. 🎣 Stop Hunt - Medium reliability
4. 💧 Liquidity Touch - Needs confirmation
Interpretation Examples
Scenario 1: "Liquidity Grab"
You see: LIQ HIGH x20 at 100,000
+ Stop Hunt ⬆
+ Volume spike
= Likely decline
Scenario 2: "Trap and Reverse"
You see: TRAPPED LONGS
+ Kill Zone Active
+ SM SHORT 🎯
= Strong short signal
Scenario 3: "Inducement Break"
You see: Inducement Level break
+ No volume
+ Status: NORMAL
= Likely trap, wait
Colors and Their Meaning
• 🔵 Blue - Liquidity (neutral)
• 🟠 Orange - Caution, possible trap
• 🔴 Red - Negative signal / long trap
• 🟢 Green - Positive signal / short trap
• 🟣 Purple - Stop hunt (neutral, wait for reaction)
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💡 Trading Strategies
Strategy 1: "Liquidity Sweep" (For Beginners)
Assumptions:
• Trade only with trend
• Wait for liquidity collection
• Enter on return
Best timeframe for learning: 15M - you'll see all manipulation stages in real-time!
Steps:
1. Identify trend (Market Bias in table)
2. Find nearest liquidity zone aligned with trend
3. Wait for price to touch and bounce
4. Enter after confirming candle
5. Stop loss beyond liquidity zone
6. Take profit at next zone
Example:
• Trend: BULLISH
• Liquidity at 100,000 (support)
• Price drops to 99,950 (stop hunt)
• Returns above 100,000
• LONG with SL 99,900, TP 101,000
Strategy 2: "Kill Zone Hunter" (Intermediate)
Assumptions:
• Trade only in Kill Zones
• Exploit stop hunts
• Aggressive entries
Ideal timeframe: 15M - in Kill Zones on 15M you'll see exactly every Smart Money move!
Steps:
1. Wait for Kill Zone (red background)
2. Watch first 15-30 minutes
3. Look for stop hunt
4. Enter immediately after stop hunt
5. Tight stop loss (0.5 ATR)
6. Scale position with profit
Tips:
• London Open - often stop hunt down, then rise
• NY Open - often tests Asian High/Low
• Midnight - position resets, false moves
Strategy 3: "Smart Money Follow" (Advanced)
Assumptions:
• Ignore minor signals
• Wait only for SM signals
• Larger positions, fewer trades
Steps:
1. Status must show HIGH RISK or WATCH LIQUIDITY
2. Wait for stop hunt series (minimum 2)
3. Watch Trapped Traders
4. Enter only on SM signal 🎯
5. Stop loss beyond last extreme
6. Hold position until opposite SM signal
Position Management:
• 1/3 position at signal
• 1/3 after direction confirmation
• 1/3 after breaking last high/low
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🛡️ Risk Management
Basic Rules
1. Never place stop loss at obvious level
o Add 5-10 pips buffer
o Avoid round numbers
o Check where Liquidity Pools are
2. Reduce position in Kill Zones
o 50% of normal size
o Or wait until they end
3. Avoid trading at HIGH RISK status
o Unless experienced
o Then reverse logic - look for traps
Stop Loss - Where to Place?
❌ Bad places:
• Exactly below/above candle
• At Inducement Levels
• At round numbers
• Where Liquidity Pools visible
✅ Good places:
• Beyond last stop hunt
• Behind Trapped Traders zone
• Minimum 1.5 ATR from entry
• Where SM would lose significantly
Position Sizing
Safe position formula:
Risk per trade = 1-2% of capital
Position size = Risk / (Stop Loss in pips × Pip value)
Modifiers:
• Kill Zone active: × 0.5
• After SM signal: × 1.5
• HIGH RISK status: × 0.3
• With trend: × 1.2
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❓ FAQ
General Questions
Q: Indicator shows nothing, what to do? A: Check in settings:
1. Reduce "Min. Touches" to 1
2. Increase "Detection Sensitivity"
3. Enable "Debug Mode" to see statistics
4. Ensure proper timeframe (15M+)
5. On 15M sometimes wait a few candles for first signal
Tip for 15M: If you don't see signals on 15M, enable Debug Mode. If it shows Liq=0, reduce "Min. Touches" to 1 and increase "Liquidity Lookback" to 100.
Q: Too many signals, I'm lost A:
1. Increase requirements (min. touches, respects)
2. Disable some components
3. Trade only strongest signals (SM 🎯)
Q: Which timeframe is best? A:
• 15M - PERFECT FOR LEARNING! Many signals, shows all manipulations, great for beginners
• 30M - Good balance, less noise than 15M
• 1H - Medium-term trading, clear setups
• 4H - Fewer signals but bigger moves, for patient traders
• 1D - Only major levels, position trading
💡 For beginners: Start with 15M! That's where you'll see how the market really works - stop hunts, traps, false breakouts. Only after understanding the mechanics, move to higher timeframes.
Technical Questions
Q: What does "x15" mean at LIQ? A: Number of level touches. Higher = stronger level.
Q: Why are Kill Zones red? A: High risk periods - most manipulation.
Q: What does Debug Mode show? A: When "Show Debug Info" is enabled, a label appears above the last candle with:
• Liq=X - number of Liquidity Pools found
• Ind=X - number of Inducement Levels found
• HighLvl=X - number of highs stored in memory
• LowLvl=X - number of lows stored in memory
This helps understand why sometimes no signals appear (e.g., when Liq=0).
Trading Questions
Q: Can I use only this indicator? A: Yes, but better combined with:
• Trend analysis
• Support/resistance
• Volume
Q: Does it work on all markets? A: Best on liquid ones:
• ✅ Major Forex pairs
• ✅ Main indices
• ✅ BTC, ETH
• ⚠️ Less liquid altcoins
• ❌ Exotic pairs, small caps
Q: How to remove indicator from chart? A:
• Method 1: Click X next to indicator name
• Method 2: Right-click on name → "Remove"
• Method 3: In indicators panel (left side) find and click trash icon
Q: Can I use multiple copies of the indicator? A: Yes! You can add the indicator multiple times with different settings (e.g., one for liquidity, another for stop hunts only).
Q: How much can I earn? A: Indicator doesn't guarantee profit. It's an analysis tool, not a trading system. Your results depend on:
• Discipline
• Risk management
• Experience
• Market conditions
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🎯 Quick Start - Checklist
Pro Tip: After adding the indicator, click the star ⭐ to add to favorites - you'll have quick access in the future!
For Beginners:
• After adding indicator, set your UTC offset in settings
• Start on 15M timeframe (where you'll see the most action!)
• Observe for a week without trading
• Learn to recognize each signal type
• Practice on 15M, then try 1H
• Start with "Liquidity Sweep" strategy
• Max 1% risk per trade
• Keep trading journal
First Steps:
1. Days 1-3: Observe and learn signals
2. Days 4-7: Mark potential entries (no trading)
3. Week 2: Demo trading with small positions
4. Week 3+: Real trading with strict risk management
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💬 Support
• Questions & Suggestions: Comments section under the indicator
• Bug Reports: Describe issue in comments with timeframe and instrument
• Updates: Click "Follow" to receive notifications
• Examples: Regular trading idea publications with usage examples
💡 Community: Share your setups in comments - let's help each other!
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⚖️ Disclaimer
This indicator is an educational and analytical tool. It does not constitute investment advice. Trading involves risk of capital loss. Always conduct your own analysis and apply appropriate risk management. Historical results do not guarantee future profits.
OptionHawk1. What makes the script original?
• Unique concept: It integrates a Keltner based custom supertrend with a multi-EMA energy visualization, ATR based multi target management, and on chart options (CALL/PUT) trade signals—creating a toolkit not found in typical public scripts.
• Innovative use: Instead of off the shelf indicators, it reinvents them:
• Keltner bands used as dynamic Supertrend triggers.
• Fifteen EMAs layered for “energy” zones (bullish/bearish heatmaps).
• ATR dynamically scales multi-TP levels and stop loss.
These are creatively fused into a unified signal and automation engine.
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2. What value does it provide to traders?
• Clear entries & exits: Labels for entry price/time, five TP levels, and SL structure eliminate guesswork.
• Visualization & automation: Real-time bar coloring and energy overlays allow quick momentum reads.
• Targeted to common pain points: Many traders struggle with manual TP/SL and entry timing—this automates that process.
• Ready for real use: Just plug into intraday (e.g., 5 min) or swing setups; no manual calculations. Signals are actionable out of the box.
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3. Why invite only (worth paying)?
• Proprietary fusion: Public indicators like Supertrend or EMA are common—but your layered use, ATR based scaling, and label logic are exclusive.
• Auto-generated options format: Unique labeling for CALL/PUT, with graphical on chart signals, isn’t offered freely elsewhere.
• Time-saver & edge-provider: Saves traders hours of configuration and enhances consistency—worth the subscription cost over piecing together mash ups.
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4. How does it work?
• Signal backbone: Custom supertrend uses Keltner bands crossing with close for direction, filtered by trend direction EMAs.
• Multi time logic: Trend defined by crossover of price over dynamic SMA thresholds built from ATR.
• Energy bar-colors/EMAs: 15 fast EMAs color-coded green/red to instantly show momentum.
• Entry logic: “Bull” when close crosses above supertrend; “Bear” when crosses below.
• Risk management: SL set at previous bar; up to 5 ATR scaled targets (or percentage based).
• Options formatted alerts: CALL/PUT labels with ₹¬currency values, embedded timestamp, SL/TP all printed on the chart.
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5. How should traders use it?
• Best markets & timeframes: Ideal for intraday / low timeframe (1 15m) setups and 1 hour swing trades in equities, indices, options.
• Conditions: Works best in trending or volatility driven sessions—visible via Keltner bands and EMA energy alignment.
• Recommended combo: Use alongside volume filters or broader cycles; when supertrend & energy EMAs align, validation is stronger.
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6. Proof of effectiveness?
• On chart visuals: Entry/exit labels, confirmed labels, TP and SL markers make past hits obvious.
• Real trade examples: Highlighted both bull & bear setups with full profit realization or SL hits.
• Performance is paint tested: Easy to showcase historic signals across multiple tickers.
• Data-backed: Users can export chart data to calculate win rate and avg return per trade.
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Summary Pitch:
OptionHawk offers a holistic, execution-ready trading tool:
1. Proprietary blend of Keltner-supertrend and layered EMAs—beyond standard scripts.
2. Automates entries, multi-tier targets, SL, and options-format labels.
3. Visual energy overlays for quick momentum readings.
4. Use-tested in intraday and swing markets.
5. Installs on chart and works immediately—no setup complexity.
It's not a public indicator package; it's a self-contained, plug and play trade catalyst—worth subscribing for active traders seeking clarity, speed, and structure in their decision-making.
6. While OptionHawk is designed for clarity and structure, no script can predict the market. Always use with discretion and proper risk management.
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OptionHawk: A Comprehensive Trend-Following & Volatility-Adaptive Trading System
The "OptionHawk" script is a sophisticated trading tool designed to provide clear, actionable signals for options trading by combining multiple technical indicators and custom logic. It aims to offer a holistic view of market conditions, identifying trend direction, momentum, and potential entry/exit points with dynamic stop-loss and take-profit levels.
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1. Why These Specific Indicators and Code Elements?
The "OptionHawk" script is a strategic fusion of the Supertrend indicator (modified with Keltner Channels), a multi-EMA "Energy" ribbon, dynamic trend lines (based on SMA and ATR), a 100-period Trend Filter EMA, and comprehensive trade management logic (SL/TP). My reason and motivation for this mashup stem from a desire to create a robust system that accounts for various market aspects often overlooked by individual indicators:
• Supertrend with Keltner Channels: The standard Supertrend is effective for trend identification but can sometimes generate whipsaws in volatile or ranging markets. By integrating Keltner Channels into the Supertrend calculation, the volatility measure becomes more adaptive, using the (high - low) range within the Keltner Channel for its ATR-like component. This aims to create a more responsive yet less prone-to-false-signals Supertrend.
• Multi-EMA "Energy" Ribbon: This visually striking element, composed of 15 EMAs, provides a quick glance at short-to-medium term momentum and potential support/resistance zones. When these EMAs are stacked and moving in one direction, it indicates strong "energy" behind the trend, reinforcing the signals from other indicators.
• Dynamic Trend Lines (SMA + ATR): These lines offer a visual representation of support and resistance that adapts to market volatility. Unlike static trend lines, their ATR-based offset ensures they remain relevant across different market conditions and asset classes, providing context for price action relative to the underlying trend.
• 100-Period Trend Filter EMA: A longer-period EMA acts as a higher-timeframe trend filter. This is crucial for confirming the direction identified by the faster-acting Supertrend, helping to avoid trades against the prevailing broader trend.
• Comprehensive Trade Management Logic: The script integrates automated calculation and display of stop-loss (SL) and multiple take-profit (TP) levels, along with trade confirmation and "TP Hit" labels. This is critical for practical trading, providing immediate, calculated risk-reward parameters that individual indicators typically don't offer.
This combination is driven by the need for a multi-faceted approach to trading that goes beyond simple signal generation to include trend confirmation, volatility adaptation, and essential risk management.
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2. What Problem or Need Does This Mashup Solve?
This mashup addresses several critical gaps that existing individual indicators often fail to fill:
• Reliable Trend Identification in Volatile Markets: While Supertrend is good, it can be late or whipsaw. Integrating Keltner Channels helps it adapt to changing volatility, providing more reliable trend signals.
• Confirmation of Signals: A common pitfall of relying on a single indicator is false signals. "OptionHawk" uses the multi-EMA "Energy" ribbon and the 100-period EMA to confirm the trend identified by the Keltner-Supertrend, reducing false entries.
• Dynamic Support/Resistance & Trend Context: Static support and resistance levels can quickly become irrelevant. The dynamic SMA + ATR trend lines provide continually adjusting zones that reflect the current market's true support and resistance, giving traders a better understanding of price action within the trend.
• Integrated Risk and Reward Management: Most indicators just give entry signals. This script goes a significant step further by automatically calculating and displaying clear stop-loss and up to five take-profit levels (either ATR-based or percentage-based). This is a vital component for structured trading, allowing traders to pre-define their risk and reward for each trade.
• Visual Clarity and Actionable Information: Instead of requiring traders to layer multiple indicators manually, "OptionHawk" integrates them into a single, cohesive display with intuitive bar coloring, shape plots, and informative labels. This reduces cognitive load and presents actionable information directly on the chart.
In essence, "OptionHawk" provides a more comprehensive, adaptive, and actionable trading framework than relying on isolated indicators.
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3. How Do the Components Work Together?
The various components of "OptionHawk" interact in a synergistic and often sequential manner to generate signals and manage trades:
• Keltner-Supertrend as the Primary Signal Generator: The supertrend function, enhanced by keltner_channel, is the core of the system. It identifies potential trend reversals and continuation signals (bullish/bearish crosses of the supertrendLine). The sensitivity and factor inputs directly influence how closely the Supertrend follows price and its responsiveness to volatility.
• Multi-EMA "Energy" Ribbon for Momentum and Confirmation: The 15 EMAs (from ema1 to ema15) are plotted to provide a visual representation of short-term momentum. When the price is above these EMAs and they are spread out and pointing upwards, it suggests strong bullish "energy." Conversely, when price is below them and they are pointing downwards, it indicates bearish "energy." This ribbon serves as a simultaneous visual confirmation for the Supertrend signals; a buy signal from Supertrend is stronger if the EMA ribbon is also indicating upward momentum.
• Dynamic Trend Lines for Context and Confirmation: The sma_high and sma_low lines, incorporating ATR, act as dynamic support and resistance. The trend variable, determined by price crossing these lines, provides an overarching directional bias. This component works conditionally with the Supertrend; a bullish Supertrend signal is more potent if the price is also above the sma_high (indicating an uptrend).
• 100-Period Trend Filter EMA for Macro Trend Confirmation: The ema100 acts as a macro trend filter. Supertrend signals are typically considered valid if they align with the direction of the ema100. For example, a "BUY" signal from the Keltner-Supertrend is ideally taken only if the price is also above the ema100, signifying that the smaller trend aligns with the larger trend. This is a conditional filter.
• Trade Confirmation and SL/TP Logic (Sequential and Conditional):
• Once a bull or bear signal is generated by the Keltner-Supertrend, the tradeSignalCall or tradeSignalPut is set to true.
• A confirmation step then occurs for a "BUY" signal, the script checks if the close of the next bar is higher than the entry bar's close. For a "SELL" signal, it checks if the close of the next bar is lower. This is a sequential confirmation step aimed at filtering out weak signals.
• Upon a confirmed signal, the stop-loss (SL) is immediately set based on the previous bar's low (for calls) or high (for puts).
• Multiple take-profit (TP) levels are calculated and stored in arrays. These can be based on a fixed percentage or dynamic ATR multiples, based on user input.
• The TP HIT logic continuously monitors price action simultaneously against these pre-defined target levels, displaying labels when a target is reached. The SL HIT logic similarly monitors for a stop-loss breach.
In summary, the Supertrend generates the initial signal, which is then confirmed by the dynamic trend lines and the 100-period EMA, and visually reinforced by the EMA "Energy" ribbon. The trade management logic then takes over, calculating and displaying vital risk-reward parameters.
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4. What is the Purpose of the Mashup Beyond Simply Merging Code?
The purpose of "OptionHawk" extends far beyond merely combining different indicator codes; it's about creating a structured and informed decision-making process for options trading. The key strategic insights and functionalities added by combining these elements are:
• Enhanced Signal Reliability and Reduced Noise: By requiring multiple indicators to align (e.g., Keltner-Supertrend signal confirmed by EMA trend filter and dynamic trend lines), the script aims to filter out false signals and whipsaws that commonly plague individual indicators. This leads to higher-probability trade setups.
• Adaptive Risk Management: The integration of ATR into both the Supertrend calculation and the dynamic stop-loss/take-profit levels makes the entire system adaptive to current market volatility. This means stop-losses and targets are not static but expand or contract with the market's price swings, promoting more realistic risk management.
• Clear Trade Entry and Exit Framework: The script provides a complete trading plan with each signal: a clear entry point, a precise stop-loss, and multiple cascading take-profit levels. This holistic approach empowers traders to manage their trades effectively from initiation to conclusion, rather than just identifying a potential entry.
• Visual Confirmation of Market Strength: The "Energy" ribbon and dynamic trend lines provide an immediate visual understanding of the market's momentum and underlying trend strength, helping traders gauge conviction behind a signal.
• Improved Backtesting and Analysis: By combining these elements into one script, traders can more easily backtest a comprehensive strategy rather than trying to manually combine signals from multiple overlaying indicators, leading to more accurate strategy analysis.
• Suitability for Options Trading: Options contracts are highly sensitive to price movement and volatility. This script's focus on confirmed trend identification, dynamic volatility adaptation, and precise risk management makes it particularly well-suited for the nuanced demands of options trading, where timing and defined risk are paramount.
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5. What New Functionality or Insight Does Your Script Offer?
"OptionHawk" offers several new functionalities and insights that significantly enhance decision-making, improve accuracy, and provide clearer signals and better timing for traders:
• "Smart" Supertrend: By basing the Supertrend's volatility component on the Keltner Channel's range instead of a simple ATR, the Supertrend becomes more sensitive to price action within its typical bounds while still adapting to broader market volatility. This can lead to earlier and more relevant trend change signals.
• Multi-Confirmation System: The script doesn't just provide a signal; it layers multiple confirmations (Keltner-Supertrend, multi-EMA "Energy" coloration, dynamic trend lines, and the 100-period EMA). This multi-layered validation significantly improves the accuracy of signals by reducing the likelihood of false positives.
• Automated and Dynamic Risk-Reward Display: This is a major functionality enhancement. The automatic calculation and clear display of stop-loss and five distinct take-profit levels (based on either ATR or percentage) directly on the chart, along with "TP HIT" and "SL HIT" labels, streamline the trading process. Traders no longer need to manually calculate these crucial levels, leading to enhanced decision-making and better risk management.
• Visual Trend "Energy" and Momentum: The vibrant coloring of the multi-EMA ribbon based on price relative to the EMA provides an intuitive and immediate visual cue for market momentum and "energy." This offers an insight into the strength of the current move, which isn't available from single EMA plots.
• Post-Signal Confirmation: The "Confirmation" label appearing on the bar after a signal, if the price continues in the signaled direction, adds an extra layer of real-time validation. This helps to improve signal timing by waiting for initial follow-through.
• Streamlined Options Trading Planning: For options traders, having clear entry prices, stop-losses, and multiple target levels directly annotated on the chart is invaluable. It helps in quickly assessing potential premium movements and managing positions effectively.
In essence, "OptionHawk" transitions from a collection of indicators to a semi-automated trading assistant, providing a comprehensive, visually rich, and dynamically adaptive framework for making more informed and disciplined trading decisions.
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Performance & Claims
1. What is the claimed performance of the script or strategy?
Answer: The script does not claim any specific performance metrics (e.g., win rate, profit factor, percentage gains). It's an indicator designed to identify potential buy/sell signals and target/stop-loss levels. The labels it generates ("BUY CALL," "BUY PUT," "TP HIT," "SL HIT") are informational based on its internal logic, not a representation of actual trading outcomes.
2. Is there any proof or backtesting to support this claim?
Answer: No, the provided code does not include any backtesting functionality or historical performance proof. As an indicator, it simply overlays visual signals on the chart. To obtain backtesting results, the logic would need to be implemented as a Pine Script strategy with entry/exit rules and commission/slippage considerations.
3. Are there any unrealistic or exaggerated performance expectations being made?
Answer: The script itself does not make any performance expectations. It avoids quantitative claims. However, if this script were presented to users with implied promises of profit based solely on the visual signals, that would be unrealistic.
4. Have you clearly stated the limitations of the performance data (e.g., “based on backtesting only”)?
Answer: There is no statement of performance data or its limitations because the script doesn't generate performance data.
5. Do you include a disclaimer that past results do not guarantee future performance?
Answer: No, the script does not include any disclaimers about past or future performance. This is typically found in accompanying documentation or marketing materials for a trading system, not within the indicator's code itself.
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Evidence & Transparency
6. How are your performance results measured (e.g., profit factor, win rate, Sharpe ratio)?
Answer: Performance results are not measured by this script. It's an indicator.
7. Are these results reproducible by others using the same script and settings?
Answer: The visual signals and calculated levels (Supertrend line, EMAs, target/SL levels) generated by the script are reproducible on TradingView when applied to the same instrument, timeframe, and with the same input settings. However, the actual trading results (profit/loss) are not generated or reproducible by this indicator.
8. Do you include enough data (charts, equity curves, trade logs) to support your claims?
Answer: No, the script does not include or generate equity curves or trade logs. It provides visual labels on the chart, which can be seen as a form of "data" to support the signal generation, but not the performance claims (as none are made by the code).
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Future Expectations
9. Are you making any predictions about future market performance?
Answer: No, the script does not make any explicit predictions about future market performance. Its signals are based on historical price action and indicator calculations.
10. Have you stated clearly that the future is fundamentally uncertain?
Answer: No, the script does not contain any statements about the uncertainty of the future.
11. Are forward-looking statements presented with caution and appropriate language?
Answer: The script does not contain any forward-looking statements beyond the visual signals it generates based on real-time data.
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Risk & Disclosure
12. Have you disclosed the risks associated with using your script or strategy?
Answer: No, the script does not include any risk disclosures. This is typically found in external documentation.
13. Do you explain that trading involves potential loss as well as gain?
Answer: No, the script does not contain any explanation about the potential for loss in trading.
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Honesty & Integrity
14. Have you avoided hype words like “guaranteed,” “foolproof,” or “no losses”?
Answer: Yes, the script itself avoids these hype words. The language used within the code is technical and describes the indicator's logic.
15. Is your language grounded and realistic rather than promotional?
Answer: Yes, the language within the provided Pine Script code is grounded and realistic as it pertains to the technical implementation of an indicator.
16. Are you leaving out any important details that might mislead users (e.g., selective performance snapshots)?
Answer: From the perspective of the code itself, no, it's not "leaving out" performance details because it's not designed to generate them. However, if this indicator were to be presented as a "strategy" that implies profitability without accompanying disclaimers, backtesting results, and risk disclosures, then that external presentation could be misleading. The script focuses on signal generation and visual representation.
⚠️ Disclaimer:
This indicator is for informational and educational purposes only. It does not guarantee any future results or performance. All trading involves risk. Please assess your own risk tolerance and consult a licensed financial advisor if needed. Past performance does not indicate future returns.
RSI MSB | QuantMAC📊 RSI MSB | QuantMAC
🎯 Overview
The RSI MSB (Momentum Shifting Bands) represents a groundbreaking fusion of traditional RSI analysis with advanced momentum dynamics and adaptive volatility bands. This sophisticated indicator combines RSI smoothing , relative momentum calculations , and dynamic standard deviation bands to create a powerful oscillator that automatically adapts to changing market conditions, providing superior signal accuracy across different trading environments.
🔧 Key Features
Hybrid RSI-Momentum Engine : Proprietary combination of smoothed RSI with relative momentum analysis
Dynamic Adaptive Bands : Self-adjusting volatility bands that respond to indicator strength
Dual Trading Modes : Flexible Long/Short or Long/Cash strategies for different risk preferences
Advanced Performance Analytics : Comprehensive metrics including Sharpe, Sortino, and Omega ratios
Smart Visual System : Dynamic color coding with 9 professional color schemes
Precision Backtesting : Date range filtering with detailed historical performance analysis
Real-time Signal Generation : Clear entry/exit signals with customizable threshold sensitivity
Position Sizing Intelligence : Half Kelly criterion for optimal risk management
📈 How The MSB Technology Work
The Momentum Shifting Bands technology is built on a revolutionary approach that combines multiple signal sources into one cohesive system:
RSI Foundation : 💪
Calculate traditional RSI using customizable length and source
Apply exponential smoothing to reduce noise and false signals
Normalize values for consistent performance across different timeframes
Momentum Analysis Engine : ⚡
Compute fast and slow momentum using rate of change calculations
Calculate relative momentum by comparing fast vs slow momentum
Normalize momentum values to 0-100 scale for consistency
Apply smoothing to create stable momentum readings
Dynamic Combination : 🔄
The genius of MSB lies in its weighted combination of RSI and momentum signals. The momentum weight parameter allows traders to adjust the balance between RSI stability and momentum responsiveness, creating a hybrid indicator that captures both trend continuation and reversal signals.
Adaptive Band System : 🎯
Calculate dynamic standard deviation multiplier based on indicator strength
Generate upper and lower bands that expand during high volatility periods
Create normalized oscillator that scales between band boundaries
Provide visual reference for overbought/oversold conditions
⚙️ Comprehensive Parameter Control
RSI Settings : 📊
RSI Length: Controls the period for RSI calculation (default: 21)
Source: Price input selection (close, open, high, low, etc.)
RSI Smoothing: Reduces noise in RSI calculations (default: 20)
Momentum Settings : 🔥
Fast Momentum Length: Short-term momentum period (default: 19)
Slow Momentum Length: Long-term momentum period (default: 21)
Momentum Weight: Balance between RSI and momentum (default: 0.6)
Oscillator Settings : ⚙️
Base Length: Foundation moving average for band calculations (default: 40)
Standard Deviation Length: Period for volatility measurement (default: 53)
SD Multiplier: Base band width adjustment (default: 0.7)
Oscillator Multiplier: Scaling factor for oscillator values (default: 100)
Signal Thresholds : 🎯
Long Threshold: Bullish signal trigger level (default: 93)
Short Threshold: Bearish signal trigger level (default: 53)
🎨 Advanced Visual System
Main Chart Elements : 📈
Dynamic Shifting Bands: Upper and lower bands with intelligent transparency
Adaptive Fill Zone: Color-coded area between bands showing current market state
Basis Line: Moving average foundation displayed as subtle reference points
Smart Bar Coloring: Candles change color based on oscillator state for instant visual feedback
Oscillator Pane : 📊
Normalized MSB Oscillator: Main signal line with dynamic coloring based on market state
Threshold Lines: Horizontal reference lines for entry/exit levels
Zero Line: Central reference for oscillator neutrality
Color State Indication: Line colors change based on bullish/bearish conditions
📊 Professional Performance Metrics
The built-in analytics suite provides institutional-grade performance measurement:
Net Profit % : Total strategy return percentage
Maximum Drawdown % : Worst peak-to-trough decline
Win Rate % : Percentage of profitable trades
Profit Factor : Ratio of gross profits to gross losses
Sharpe Ratio : Risk-adjusted return measurement
Sortino Ratio : Downside-focused risk adjustment
Omega Ratio : Probability-weighted performance ratio
Half Kelly % : Optimal position sizing recommendation
Total Trades : Complete transaction count
🎯 Strategic Trading Applications
Long/Short Mode : ⚡
Maximizes profit potential by capturing both upward and downward price movements. The MSB technology helps identify when momentum is building in either direction, allowing for optimal position switches between long and short positions.
Long/Cash Mode : 🛡️
Conservative approach ideal for retirement accounts or risk-averse traders. The indicator's adaptive nature helps identify the best times to be invested versus sitting in cash, protecting capital during adverse market conditions.
🚀 Unique Advantages
Traditional Indicators vs RSI MSB :
Static vs Dynamic: While most indicators use fixed parameters, MSB bands adapt based on indicator strength
Single Signal vs Multi-Signal: Combines RSI reliability with momentum responsiveness
Lagging vs Balanced: Optimized balance between signal speed and accuracy
Simple vs Intelligent: Advanced momentum analysis provides superior market insight
💡 Professional Setup Guide
For Day Trading (Short-term) : 📱
RSI Length: 14-18
RSI Smoothing: 12-15
Momentum Weight: 0.7-0.8
Thresholds: Long 90, Short 55
For Swing Trading (Medium-term) : 📊
RSI Length: 21-25 (default range)
RSI Smoothing: 18-22
Momentum Weight: 0.5-0.7
Thresholds: Long 93, Short 53 (defaults)
For Position Trading (Long-term) : 📈
RSI Length: 25-30
RSI Smoothing: 25-30
Momentum Weight: 0.4-0.6
Thresholds: Long 95, Short 50
🧠 Advanced Trading Techniques
MSB Divergence Analysis : 🔍
Watch for divergences between price action and MSB readings. When price makes new highs/lows but the oscillator doesn't confirm, it often signals upcoming reversals or momentum shifts.
Band Width Interpretation : 📏
Expanding Bands: Increasing volatility, expect larger price moves
Contracting Bands: Decreasing volatility, prepare for potential breakouts
Band Touches: Price touching outer bands often signals reversal opportunities
Multi-Timeframe Analysis : ⏰
Use MSB on higher timeframes for trend direction and lower timeframes for precise entry timing. The momentum component makes it particularly effective for timing entries within established trends.
⚠️ Important Risk Disclaimers
Critical Risk Factors :
Market Conditions: No indicator performs equally well in all market environments
Backtesting Limitations: Historical performance may not reflect future market behavior
Parameter Sensitivity: Different settings may produce significantly different results
Volatility Risk: Momentum-based indicators can be sensitive to extreme market conditions
Capital Risk: Always use appropriate position sizing and stop-loss protection
📚 Educational Benefits
This indicator provides exceptional learning opportunities for understanding:
Advanced RSI analysis and momentum integration techniques
Adaptive indicator design and dynamic band calculations
The relationship between momentum shifts and price movements
Professional risk management using Kelly Criterion principles
Modern oscillator interpretation and multi-signal analysis
🔍 Market Applications
The RSI MSB works effectively across various markets:
Forex : Excellent for currency pair momentum analysis
Stocks : Individual equity and index trading with momentum confirmation
Commodities : Adaptive to commodity market momentum cycles
Cryptocurrencies : Handles extreme volatility with momentum filtering
Futures : Professional derivatives trading applications
🔧 Technical Innovation
The RSI MSB represents advanced research into multi-signal technical analysis. The proprietary momentum-RSI combination has been optimized for:
Computational Efficiency : Fast calculation even on high-frequency data
Signal Clarity : Clear, actionable trading signals with reduced noise
Market Adaptability : Automatic adjustment to changing momentum conditions
Parameter Flexibility : Wide range of customization options for different trading styles
🔔 Updates and Evolution
The RSI MSB | QuantMAC continues to evolve with regular updates incorporating the latest research in momentum-based technical analysis. The comprehensive parameter set allows for extensive customization and optimization across different market conditions.
Past Performance Disclaimer : Past performance results shown by this indicator are hypothetical and not indicative of future results. Market conditions change continuously, and no trading system or methodology can guarantee profits or prevent losses. Historical backtesting may not reflect actual trading conditions including market liquidity, slippage, and fees that would affect real trading results.
Master The Markets With Multi-Signal Intelligence! 🎯📈
TitanGrid L/S SuperEngineTitanGrid L/S SuperEngine
Experimental Trend-Aligned Grid Signal Engine for Long & Short Execution
🔹 Overview
TitanGrid is an advanced, real-time signal engine built around a tactical grid structure.
It manages Long and Short trades using trend-aligned entries, layered scaling, and partial exits.
Unlike traditional strategy() -based scripts, TitanGrid runs as an indicator() , but includes its own full internal simulation engine.
This allows it to track capital, equity, PnL, risk exposure, and trade performance bar-by-bar — effectively simulating a custom backtest, while remaining compatible with real-time alert-based execution systems.
The concept was born from the fusion of two prior systems:
Assassin’s Grid (grid-based execution and structure) + Super 8 (trend-filtering, smart capital logic), both developed under the AssassinsGrid framework.
🔹 Disclaimer
This is an experimental tool intended for research, testing, and educational use.
It does not provide guaranteed outcomes and should not be interpreted as financial advice.
Use with demo or simulated accounts before considering live deployment.
🔹 Execution Logic
Trend direction is filtered through a custom SuperTrend engine. Once confirmed:
• Long entries trigger on pullbacks, exiting progressively as price moves up
• Short entries trigger on rallies, exiting as price declines
Grid levels are spaced by configurable percentage width, and entries scale dynamically.
🔹 Stop Loss Mechanism
TitanGrid uses a dual-layer stop system:
• A static stop per entry, placed at a fixed percentage distance matching the grid width
• A trend reversal exit that closes the entire position if price crosses the SuperTrend in the opposite direction
Stops are triggered once per cycle, ensuring predictable and capital-aware behavior.
🔹 Key Features
• Dual-side grid logic (Long-only, Short-only, or Both)
• SuperTrend filtering to enforce directional bias
• Adjustable grid spacing, scaling, and sizing
• Static and dynamic stop-loss logic
• Partial exits and reset conditions
• Webhook-ready alerts (browser-based automation compatible)
• Internal simulation of equity, PnL, fees, and liquidation levels
• Real-time dashboard for full transparency
🔹 Best Use Cases
TitanGrid performs best in structured or mean-reverting environments.
It is especially well-suited to assets with the behavioral profile of ETH — reactive, trend-intraday, and prone to clean pullback formations.
While adaptable to multiple timeframes, it shows strongest performance on the 15-minute chart , offering a balance of signal frequency and directional clarity.
🔹 License
Published under the Mozilla Public License 2.0 .
You are free to study, adapt, and extend this script.
🔹 Panel Reference
The real-time dashboard displays performance metrics, capital state, and position behavior:
• Asset Type – Automatically detects the instrument class (e.g., Crypto, Stock, Forex) from symbol metadata
• Equity – Total simulated capital: realized PnL + floating PnL + remaining cash
• Available Cash – Capital not currently allocated to any position
• Used Margin – Capital locked in open trades, based on position size and leverage
• Net Profit – Realized gain/loss after commissions and fees
• Raw Net Profit – Gross result before trading costs
• Floating PnL – Unrealized profit or loss from active positions
• ROI – Return on initial capital, including realized and floating PnL. Leverage directly impacts this metric, amplifying both gains and losses relative to account size.
• Long/Short Size & Avg Price – Open position sizes and volume-weighted average entry prices
• Leverage & Liquidation – Simulated effective leverage and projected liquidation level
• Hold – Best-performing hold side (Long or Short) over the session
• Hold Efficiency – Performance efficiency during holding phases, relative to capital used
• Profit Factor – Ratio of gross profits to gross losses (realized)
• Payoff Ratio – Average profit per win / average loss per loss
• Win Rate – Percent of profitable closes (including partial exits)
• Expectancy – Net average result per closed trade
• Max Drawdown – Largest recorded drop in equity during the session
• Commission Paid – Simulated trading costs: maker, taker, funding
• Long / Short Trades – Count of entry signals per side
• Time Trading – Number of bars spent in active positions
• Volume / Month – Extrapolated 30-day trading volume estimate
• Min Capital – Lowest equity level recorded during the session
🔹 Reference Ranges by Strategy Type
Use the following metrics as reference depending on the trading style:
Grid / Mean Reversion
• Profit Factor: 1.2 – 2.0
• Payoff Ratio: 0.5 – 1.2
• Win Rate: 50% – 70% (based on partial exits)
• Expectancy: 0.05% – 0.25%
• Drawdown: Moderate to high
• Commission Impact: High
Trend-Following
• Profit Factor: 1.5 – 3.0
• Payoff Ratio: 1.5 – 3.5
• Win Rate: 30% – 50%
• Expectancy: 0.3% – 1.0%
• Drawdown: Low to moderate
Scalping / High-Frequency
• Profit Factor: 1.1 – 1.6
• Payoff Ratio: 0.3 – 0.8
• Win Rate: 80% – 95%
• Expectancy: 0.01% – 0.05%
• Volume / Month: Very high
Breakout Strategies
• Profit Factor: 1.4 – 2.2
• Payoff Ratio: 1.2 – 2.0
• Win Rate: 35% – 60%
• Expectancy: 0.2% – 0.6%
• Drawdown: Can be sharp after failed breakouts
🔹 Note on Performance Simulation
TitanGrid includes internal accounting of fees, slippage, and funding costs.
While its logic is designed for precision and capital efficiency, performance is naturally affected by exchange commissions.
In frictionless environments (e.g., zero-fee simulation), its high-frequency logic could — in theory — extract substantial micro-edges from the market.
However, real-world conditions introduce limits, and all results should be interpreted accordingly.
Linear Regression Channel Pro# Linear Regression Channel Pro - Script Description
## English Description
### What it does
The **Linear Regression Channel Pro** is a technical analysis indicator that creates a statistical channel around price movements using linear regression mathematics. The script calculates the best-fit line through a specified number of price bars and then adds parallel boundaries based on standard deviation calculations.
### Key Features
- **Main Regression Line**: Shows the statistical trend direction of the price over the selected period
- **Channel Boundaries**: Upper and lower bands that contain most price movements (typically 95% when using 2.0 multiplier)
- **Inner Boundaries**: Additional reference lines for more precise analysis
- **Future Projection**: Extends all lines into the future to show potential price paths
- **Customizable Parameters**: Adjustable period length, deviation multipliers, and projection distance
### How it works
1. **Data Collection**: Gathers price data over the specified regression length (default 400 bars)
2. **Linear Regression**: Calculates the mathematical best-fit line through the price data
3. **Standard Deviation**: Measures how much prices deviate from the regression line
4. **Channel Creation**: Creates parallel lines above and below the regression line
5. **Future Projection**: Extends the channel into the future using the same slope
### Statistical Foundation and Band Settings
**The 68-95-99.7 Rule**
The indicator is based on the statistical principle that in a normal distribution:
- **1 Standard Deviation (σ)**: Contains approximately **68%** of price movements
- **2 Standard Deviations (σ)**: Contains approximately **95%** of price movements
- **3 Standard Deviations (σ)**: Contains approximately **99.7%** of price movements
**Outer Bands (Default 2.0 Multiplier)**
- **Coverage**: Approximately **95%** of price movements
- **Meaning**: Only 5% of price action should exceed these bands
- **Usage**: Identification of extreme overbought/oversold conditions
- **Signal**: Touching outer bands often indicates potential reversal points
**Inner Bands (Default 1.0 Multiplier)**
- **Coverage**: Approximately **68%** of price movements
- **Meaning**: 32% of movements can normally exceed these bands
- **Usage**: Identification of significant but not extreme price moves
- **Signal**: Breaking inner bands suggests meaningful directional movement
### Recommended Settings by Market Type
**Standard Configuration**
```
- Outer Bands: 2.0 (95% coverage)
- Inner Bands: 1.0 (68% coverage)
```
**High Volatility Markets (Crypto, Emerging Markets)**
```
- Outer Bands: 2.5-3.0 (99%+ coverage)
- Inner Bands: 1.5 (85% coverage)
```
**Low Volatility Markets (Major Forex, Blue Chip Stocks)**
```
- Outer Bands: 1.5 (86% coverage)
- Inner Bands: 0.5 (38% coverage)
```
### Trading Applications
**Trend Analysis**
- The slope of the regression line indicates the overall trend direction
- Steep slopes suggest strong trends, flat slopes suggest consolidation
- Price above center line = bullish bias, below = bearish bias
**Support and Resistance Levels**
- **Inner bands**: Act as first level support/resistance (68% probability)
- **Outer bands**: Act as strong support/resistance (95% probability)
- **Dynamic levels**: Bands adjust automatically to market conditions
**Entry and Exit Strategies**
*Using Inner Bands (1.0σ):*
- **Breakout signals**: Price breaking through inner bands with volume confirms direction
- **Pullback entries**: Price returning to inner band after breakout offers entry opportunity
- **Range trading**: Price oscillating between inner bands suggests consolidation
*Using Outer Bands (2.0σ):*
- **Reversal signals**: Price touching outer bands often indicates exhaustion
- **Extreme conditions**: Only 5% of movements reach these levels
- **Profit taking**: Consider closing positions when price reaches outer bands
**Risk Management Applications**
- **Stop Loss Placement**: Use opposite band as stop level (high probability of not being hit randomly)
- **Position Sizing**: Wider channels = higher volatility = smaller position sizes
- **Risk/Reward**: Measure potential moves using band distances
**Future Planning with Projections**
- **Target Setting**: Orange projection lines show potential future support/resistance
- **Trade Duration**: Plan holding periods based on projected channel direction
- **Market Timing**: Anticipate when price might reach significant levels
### Practical Trading Examples
**Bullish Trend Scenario**
1. Price consistently above center line (trend confirmed)
2. Bounces from inner lower band = re-entry opportunity
3. Reaching outer upper band = consider profit taking
4. Break above outer upper band = potential trend acceleration
**Range-Bound Market**
1. Price oscillates between inner bands = range trading mode
2. Sell near inner upper band, buy near inner lower band
3. Breakout from outer bands = range breakout signal
**Bearish Trend Scenario**
1. Price consistently below center line (downtrend confirmed)
2. Bounces from inner upper band = short entry opportunity
3. Reaching outer lower band = potential oversold bounce
4. Break below outer lower band = trend continuation likely
### Best Practices and Tips
- **Timeframe Selection**: Use higher timeframes (4H, Daily) for more reliable statistical significance
- **Confirmation**: Combine with volume analysis and other indicators
- **Market Adaptation**: Adjust multipliers based on asset volatility characteristics
- **Regression Length**: Shorter periods (100-200) for reactive signals, longer (400-800) for stable trends
- **False Breakouts**: Wait for close beyond bands rather than just touching
- **Volume Confirmation**: Higher volume on band breakouts increases signal reliability
---
## Descrizione Italiana
### Cosa fa
Il **Linear Regression Channel Pro** è un indicatore di analisi tecnica che crea un canale statistico intorno ai movimenti di prezzo utilizzando la matematica della regressione lineare. Lo script calcola la linea di miglior adattamento attraverso un numero specificato di barre di prezzo e aggiunge quindi confini paralleli basati sui calcoli della deviazione standard.
### Caratteristiche Principali
- **Linea di Regressione Principale**: Mostra la direzione statistica del trend del prezzo nel periodo selezionato
- **Confini del Canale**: Bande superiori e inferiori che contengono la maggior parte dei movimenti di prezzo (tipicamente il 95% usando il moltiplicatore 2.0)
- **Confini Interni**: Linee di riferimento aggiuntive per un'analisi più precisa
- **Proiezione Futura**: Estende tutte le linee nel futuro per mostrare potenziali percorsi di prezzo
- **Parametri Personalizzabili**: Lunghezza del periodo, moltiplicatori di deviazione e distanza di proiezione regolabili
### Come Funziona
1. **Raccolta Dati**: Raccoglie i dati di prezzo per la lunghezza di regressione specificata (default 400 barre)
2. **Regressione Lineare**: Calcola matematicamente la linea di miglior adattamento attraverso i dati di prezzo
3. **Deviazione Standard**: Misura quanto i prezzi si discostano dalla linea di regressione
4. **Creazione del Canale**: Crea linee parallele sopra e sotto la linea di regressione
5. **Proiezione Futura**: Estende il canale nel futuro usando la stessa pendenza
### Fondamenti Statistici e Impostazione delle Bande
**La Regola 68-95-99.7**
L'indicatore si basa sul principio statistico che in una distribuzione normale:
- **1 Deviazione Standard (σ)**: Contiene circa il **68%** dei movimenti di prezzo
- **2 Deviazioni Standard (σ)**: Contiene circa il **95%** dei movimenti di prezzo
- **3 Deviazioni Standard (σ)**: Contiene circa il **99.7%** dei movimenti di prezzo
**Bande Esterne (Moltiplicatore Default 2.0)**
- **Copertura**: Circa il **95%** dei movimenti di prezzo
- **Significato**: Solo il 5% dell'azione di prezzo dovrebbe superare queste bande
- **Utilizzo**: Identificazione di condizioni estreme di ipercomprato/ipervenduto
- **Segnale**: Il tocco delle bande esterne spesso indica potenziali punti di inversione
**Bande Interne (Moltiplicatore Default 1.0)**
- **Copertura**: Circa il **68%** dei movimenti di prezzo
- **Significato**: Il 32% dei movimenti può normalmente superare queste bande
- **Utilizzo**: Identificazione di movimenti di prezzo significativi ma non estremi
- **Segnale**: La rottura delle bande interne suggerisce un movimento direzionale significativo
### Impostazioni Raccomandate per Tipo di Mercato
**Configurazione Standard**
```
- Bande Esterne: 2.0 (copertura 95%)
- Bande Interne: 1.0 (copertura 68%)
```
**Mercati ad Alta Volatilità (Crypto, Mercati Emergenti)**
```
- Bande Esterne: 2.5-3.0 (copertura 99%+)
- Bande Interne: 1.5 (copertura 85%)
```
**Mercati a Bassa Volatilità (Forex Maggiori, Azioni Blue Chip)**
```
- Bande Esterne: 1.5 (copertura 86%)
- Bande Interne: 0.5 (copertura 38%)
```
### Applicazioni nel Trading
**Analisi del Trend**
- La pendenza della linea di regressione indica la direzione generale del trend
- Pendenze ripide suggeriscono trend forti, pendenze piatte suggeriscono consolidamento
- Prezzo sopra la linea centrale = bias rialzista, sotto = bias ribassista
**Livelli di Supporto e Resistenza**
- **Bande interne**: Agiscono come supporto/resistenza di primo livello (probabilità 68%)
- **Bande esterne**: Agiscono come supporto/resistenza forte (probabilità 95%)
- **Livelli dinamici**: Le bande si adattano automaticamente alle condizioni di mercato
**Strategie di Entrata e Uscita**
*Usando le Bande Interne (1.0σ):*
- **Segnali di breakout**: Il prezzo che rompe le bande interne con volume conferma la direzione
- **Entrate su pullback**: Il prezzo che ritorna alla banda interna dopo un breakout offre opportunità di entrata
- **Range trading**: Il prezzo che oscilla tra bande interne suggerisce consolidamento
*Usando le Bande Esterne (2.0σ):*
- **Segnali di inversione**: Il prezzo che tocca le bande esterne spesso indica esaurimento
- **Condizioni estreme**: Solo il 5% dei movimenti raggiunge questi livelli
- **Presa di profitto**: Considera di chiudere posizioni quando il prezzo raggiunge le bande esterne
**Applicazioni di Gestione del Rischio**
- **Posizionamento Stop Loss**: Usa la banda opposta come livello di stop (alta probabilità di non essere colpito casualmente)
- **Dimensionamento Posizioni**: Canali più larghi = volatilità maggiore = posizioni più piccole
- **Rischio/Rendimento**: Misura i movimenti potenziali usando le distanze delle bande
**Pianificazione Futura con Proiezioni**
- **Impostazione Target**: Le linee di proiezione arancioni mostrano potenziali supporti/resistenze futuri
- **Durata del Trade**: Pianifica i periodi di detenzione basandoti sulla direzione del canale proiettato
- **Timing di Mercato**: Anticipa quando il prezzo potrebbe raggiungere livelli significativi
### Esempi Pratici di Trading
**Scenario Trend Rialzista**
1. Prezzo costantemente sopra la linea centrale (trend confermato)
2. Rimbalzi dalla banda interna inferiore = opportunità di re-entrata
3. Raggiungimento banda esterna superiore = considera presa di profitto
4. Rottura sopra banda esterna superiore = potenziale accelerazione del trend
**Mercato in Range**
1. Prezzo oscilla tra bande interne = modalità range trading
2. Vendi vicino alla banda interna superiore, compra vicino a quella inferiore
3. Breakout dalle bande esterne = segnale di rottura del range
**Scenario Trend Ribassista**
1. Prezzo costantemente sotto la linea centrale (downtrend confermato)
2. Rimbalzi dalla banda interna superiore = opportunità di short
3. Raggiungimento banda esterna inferiore = potenziale rimbalzo da ipervenduto
4. Rottura sotto banda esterna inferiore = probabile continuazione del trend
### Migliori Pratiche e Consigli
- **Selezione Timeframe**: Usa timeframe più alti (4H, Giornaliero) per maggiore significatività statistica
- **Conferma**: Combina con analisi del volume e altri indicatori
- **Adattamento al Mercato**: Regola i moltiplicatori in base alle caratteristiche di volatilità dell'asset
- **Lunghezza Regressione**: Periodi più corti (100-200) per segnali reattivi, più lunghi (400-800) per trend stabili
- **Falsi Breakout**: Aspetta la chiusura oltre le bande piuttosto che solo il tocco
- **Conferma del Volume**: Volume più alto sui breakout delle bande aumenta l'affidabilità del segnale
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA)
Overview
The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets.
Key Features
Stochastic RSI Calculation
Computes a standard RSI over a user-defined period (default 50).
Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50).
Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3).
Defines oversold when both %K and %D are below 20, and overbought when both are above 80.
Triple EMA (TEMA)
Calculates three successive EMAs on the closing price with the same length (default 9).
Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line.
Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal.
Signal Logic
Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend.
Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50.
Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish).
Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish.
Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50.
Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish).
Visual Elements on Chart
TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization.
Buy/Sell Markers:
BUY STRONG: Lime label below the candle
BUY MEDIUM: Green triangle below the candle
BUY WEAK: Semi-transparent green circle below the candle
SELL STRONG: Red label above the candle
SELL MEDIUM: Orange triangle above the candle
SELL WEAK: Semi-transparent orange circle above the candle
Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell).
Dynamic Support/Resistance:
On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker.
On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker.
Alerts
Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish.
Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish.
General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish.
General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish.
Inputs
Stochastic RSI Settings (group “Stochastic RSI”):
K (smoothK): Period length for smoothing the %K line (default 3, minimum 1)
D (smoothD): Period length for smoothing the %D line (default 3, minimum 1)
RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1)
Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1)
RSI Source (src): Price source for the RSI (default = close)
TEMA Settings (group “Triple EMA”):
TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1)
How to Use
Add the Script
Copy and paste the indicator code into TradingView’s Pine Editor (version 6).
Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).”
Adjust Inputs
Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading).
Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument.
Modify TEMA Length if you prefer a faster or slower moving average response.
Interpret Signals
Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend.
Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum.
Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders.
Set Alerts
Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”).
Configure notifications (popup, email, webhook) according to your trading workflow.
Notes & Best Practices
Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out.
Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes.
Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends.
Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument.
No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals).
Author: Your Name or Username
Version: 1.0 (Pine Script v6)
Published: June 2025
Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
