Peak & Valley Screener RadarThis Pine Script indicator is designed to help traders and investors analyze the percentage distance of stock prices from their recent All-Time High (ATH) and All-Time Low (ALH) over a user-defined number of bars.
It functions as a multi-stock screener, scanning a customizable list of stocks (default: 40 BIST 500 stocks) and displaying results in a dynamic table on the chart.
The script identifies stocks that have pulled back more than a specified percentage from their ATH (potential buying opportunities) or risen less than a specified percentage from their ALH (potential caution zones).
Key Features:
Customizable Stock List: Users can input a comma-separated list of stock tickers (e.g., "AAPL,GOOGL,MSFT") to scan any symbols available on TradingView.
User-Defined Parameters: Adjust the lookback period (bars back, default 250), ATH pullback threshold (default 10%), and ALH rise threshold (default 10%).
Dynamic Table Display: Results are shown in a table with two columns: "Distance to TOP" (ATH pullbacks in red) and "Distance to BOTTOM" (ALH rises in green). The table includes input parameters for quick reference and can be positioned anywhere on the chart (top/bottom left/center/right).
Optional Plots: Toggle plots to visualize the percentage distances for the current chart symbol (red for ATH, green for ALH).
Efficient Data Handling: Uses request.security with tuples for optimized multi-symbol data fetching, supporting up to ~80 stocks without exceeding Pine Script limits (adjust table rows if needed for more).
Real-Time Updates: The table updates only on the last bar for performance efficiency.
How It Works:
The script calculates the highest high and lowest low over the specified bars for each stock.
It computes the percentage difference from the current close: negative for ATH (pullback) and positive for ALH (rise).
Stocks meeting the thresholds are listed in the table with their exact percentages.
Usage Tips:
Apply this indicator to any chart (e.g., a BIST index or stock) to run the screener in the background.
Ideal for swing traders scanning for undervalued stocks near ATH or overbought near ALH.
Note: Performance may vary with large stock lists due to TradingView's security call limits (~40-50 calls per script). Test with smaller lists if needed.
You can bypass the 40-stock limit by adding the indicator twice to the chart, entering 40 different stocks in the second indicator and setting a different table position from the first one, allowing you to scan 80 stocks simultaneously. In fact, this way, you can scan as many stocks as your plan's limits allow.
This script is released under the Mozilla Public License 2.0. Feedback and suggestions are welcome, but please adhere to TradingView's House Rules—no guarantees of profitability, use at your own risk.Disclaimer: This is not financial advice. Past performance does not predict future results. Always conduct your own research.
חפש סקריפטים עבור "泰国一寺庙被曝藏有40多具尸体"
Drawdown Distribution Analysis (DDA) ACADEMIC FOUNDATION AND RESEARCH BACKGROUND
The Drawdown Distribution Analysis indicator implements quantitative risk management principles, drawing upon decades of academic research in portfolio theory, behavioral finance, and statistical risk modeling. This tool provides risk assessment capabilities for traders and portfolio managers seeking to understand their current position within historical drawdown patterns.
The theoretical foundation of this indicator rests on modern portfolio theory as established by Markowitz (1952), who introduced the fundamental concepts of risk-return optimization that continue to underpin contemporary portfolio management. Sharpe (1966) later expanded this framework by developing risk-adjusted performance measures, most notably the Sharpe ratio, which remains a cornerstone of performance evaluation in financial markets.
The specific focus on drawdown analysis builds upon the work of Chekhlov, Uryasev and Zabarankin (2005), who provided the mathematical framework for incorporating drawdown measures into portfolio optimization. Their research demonstrated that traditional mean-variance optimization often fails to capture the full risk profile of investment strategies, particularly regarding sequential losses. More recent work by Goldberg and Mahmoud (2017) has brought these theoretical concepts into practical application within institutional risk management frameworks.
Value at Risk methodology, as comprehensively outlined by Jorion (2007), provides the statistical foundation for the risk measurement components of this indicator. The coherent risk measures framework developed by Artzner et al. (1999) ensures that the risk metrics employed satisfy the mathematical properties required for sound risk management decisions. Additionally, the focus on downside risk follows the framework established by Sortino and Price (1994), while the drawdown-adjusted performance measures implement concepts introduced by Young (1991).
MATHEMATICAL METHODOLOGY
The core calculation methodology centers on a peak-tracking algorithm that continuously monitors the maximum price level achieved and calculates the percentage decline from this peak. The drawdown at any time t is defined as DD(t) = (P(t) - Peak(t)) / Peak(t) × 100, where P(t) represents the asset price at time t and Peak(t) represents the running maximum price observed up to time t.
Statistical distribution analysis forms the analytical backbone of the indicator. The system calculates key percentiles using the ta.percentile_nearest_rank() function to establish the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles of the historical drawdown distribution. This approach provides a complete picture of how the current drawdown compares to historical patterns.
Statistical significance assessment employs standard deviation bands at one, two, and three standard deviations from the mean, following the conventional approach where the upper band equals μ + nσ and the lower band equals μ - nσ. The Z-score calculation, defined as Z = (DD - μ) / σ, enables the identification of statistically extreme events, with thresholds set at |Z| > 2.5 for extreme drawdowns and |Z| > 3.0 for severe drawdowns, corresponding to confidence levels exceeding 99.4% and 99.7% respectively.
ADVANCED RISK METRICS
The indicator incorporates several risk-adjusted performance measures that extend beyond basic drawdown analysis. The Sharpe ratio calculation follows the standard formula Sharpe = (R - Rf) / σ, where R represents the annualized return, Rf represents the risk-free rate, and σ represents the annualized volatility. The system supports dynamic sourcing of the risk-free rate from the US 10-year Treasury yield or allows for manual specification.
The Sortino ratio addresses the limitation of the Sharpe ratio by focusing exclusively on downside risk, calculated as Sortino = (R - Rf) / σd, where σd represents the downside deviation computed using only negative returns. This measure provides a more accurate assessment of risk-adjusted performance for strategies that exhibit asymmetric return distributions.
The Calmar ratio, defined as Annual Return divided by the absolute value of Maximum Drawdown, offers a direct measure of return per unit of drawdown risk. This metric proves particularly valuable for comparing strategies or assets with different risk profiles, as it directly relates performance to the maximum historical loss experienced.
Value at Risk calculations provide quantitative estimates of potential losses at specified confidence levels. The 95% VaR corresponds to the 5th percentile of the drawdown distribution, while the 99% VaR corresponds to the 1st percentile. Conditional VaR, also known as Expected Shortfall, estimates the average loss in the worst 5% of scenarios, providing insight into tail risk that standard VaR measures may not capture.
To enable fair comparison across assets with different volatility characteristics, the indicator calculates volatility-adjusted drawdowns using the formula Adjusted DD = Raw DD / (Volatility / 20%). This normalization allows for meaningful comparison between high-volatility assets like cryptocurrencies and lower-volatility instruments like government bonds.
The Risk Efficiency Score represents a composite measure ranging from 0 to 100 that combines the Sharpe ratio and current percentile rank to provide a single metric for quick asset assessment. Higher scores indicate superior risk-adjusted performance relative to historical patterns.
COLOR SCHEMES AND VISUALIZATION
The indicator implements eight distinct color themes designed to accommodate different analytical preferences and market contexts. The EdgeTools theme employs a corporate blue palette that matches the design system used throughout the edgetools.org platform, ensuring visual consistency across analytical tools.
The Gold theme specifically targets precious metals analysis with warm tones that complement gold chart analysis, while the Quant theme provides a grayscale scheme suitable for analytical environments that prioritize clarity over aesthetic appeal. The Behavioral theme incorporates psychology-based color coding, using green to represent greed-driven market conditions and red to indicate fear-driven environments.
Additional themes include Ocean, Fire, Matrix, and Arctic schemes, each designed for specific market conditions or user preferences. All themes function effectively with both dark and light mode trading platforms, ensuring accessibility across different user interface configurations.
PRACTICAL APPLICATIONS
Asset allocation and portfolio construction represent primary use cases for this analytical framework. When comparing multiple assets such as Bitcoin, gold, and the S&P 500, traders can examine Risk Efficiency Scores to identify instruments offering superior risk-adjusted performance. The 95% VaR provides worst-case scenario comparisons, while volatility-adjusted drawdowns enable fair comparison despite varying volatility profiles.
The practical decision framework suggests that assets with Risk Efficiency Scores above 70 may be suitable for aggressive portfolio allocations, scores between 40 and 70 indicate moderate allocation potential, and scores below 40 suggest defensive positioning or avoidance. These thresholds should be adjusted based on individual risk tolerance and market conditions.
Risk management and position sizing applications utilize the current percentile rank to guide allocation decisions. When the current drawdown ranks above the 75th percentile of historical data, indicating that current conditions are better than 75% of historical periods, position increases may be warranted. Conversely, when percentile rankings fall below the 25th percentile, indicating elevated risk conditions, position reductions become advisable.
Institutional portfolio monitoring applications include hedge fund risk dashboard implementations where multiple strategies can be monitored simultaneously. Sharpe ratio tracking identifies deteriorating risk-adjusted performance across strategies, VaR monitoring ensures portfolios remain within established risk limits, and drawdown duration tracking provides valuable information for investor reporting requirements.
Market timing applications combine the statistical analysis with trend identification techniques. Strong buy signals may emerge when risk levels register as "Low" in conjunction with established uptrends, while extreme risk levels combined with downtrends may indicate exit or hedging opportunities. Z-scores exceeding 3.0 often signal statistically oversold conditions that may precede trend reversals.
STATISTICAL SIGNIFICANCE AND VALIDATION
The indicator provides 95% confidence intervals around current drawdown levels using the standard formula CI = μ ± 1.96σ. This statistical framework enables users to assess whether current conditions fall within normal market variation or represent statistically significant departures from historical patterns.
Risk level classification employs a dynamic assessment system based on percentile ranking within the historical distribution. Low risk designation applies when current drawdowns perform better than 50% of historical data, moderate risk encompasses the 25th to 50th percentile range, high risk covers the 10th to 25th percentile range, and extreme risk applies to the worst 10% of historical drawdowns.
Sample size considerations play a crucial role in statistical reliability. For daily data, the system requires a minimum of 252 trading days (approximately one year) but performs better with 500 or more observations. Weekly data analysis benefits from at least 104 weeks (two years) of history, while monthly data requires a minimum of 60 months (five years) for reliable statistical inference.
IMPLEMENTATION BEST PRACTICES
Parameter optimization should consider the specific characteristics of different asset classes. Equity analysis typically benefits from 500-day lookback periods with 21-day smoothing, while cryptocurrency analysis may employ 365-day lookback periods with 14-day smoothing to account for higher volatility patterns. Fixed income analysis often requires longer lookback periods of 756 days with 34-day smoothing to capture the lower volatility environment.
Multi-timeframe analysis provides hierarchical risk assessment capabilities. Daily timeframe analysis supports tactical risk management decisions, weekly analysis informs strategic positioning choices, and monthly analysis guides long-term allocation decisions. This hierarchical approach ensures that risk assessment occurs at appropriate temporal scales for different investment objectives.
Integration with complementary indicators enhances the analytical framework. Trend indicators such as RSI and moving averages provide directional bias context, volume analysis helps confirm the severity of drawdown conditions, and volatility measures like VIX or ATR assist in market regime identification.
ALERT SYSTEM AND AUTOMATION
The automated alert system monitors five distinct categories of risk events. Risk level changes trigger notifications when drawdowns move between risk categories, enabling proactive risk management responses. Statistical significance alerts activate when Z-scores exceed established threshold levels of 2.5 or 3.0 standard deviations.
New maximum drawdown alerts notify users when historical maximum levels are exceeded, indicating entry into uncharted risk territory. Poor risk efficiency alerts trigger when the composite risk efficiency score falls below 30, suggesting deteriorating risk-adjusted performance. Sharpe ratio decline alerts activate when risk-adjusted performance turns negative, indicating that returns no longer compensate for the risk undertaken.
TRADING STRATEGIES
Conservative risk parity strategies can be implemented by monitoring Risk Efficiency Scores across a diversified asset portfolio. Monthly rebalancing maintains equal risk contribution from each asset, with allocation reductions triggered when risk levels reach "High" status and complete exits executed when "Extreme" risk levels emerge. This approach typically results in lower overall portfolio volatility, improved risk-adjusted returns, and reduced maximum drawdown periods.
Tactical asset rotation strategies compare Risk Efficiency Scores across different asset classes to guide allocation decisions. Assets with scores exceeding 60 receive overweight allocations, while assets scoring below 40 receive underweight positions. Percentile rankings provide timing guidance for allocation adjustments, creating a systematic approach to asset allocation that responds to changing risk-return profiles.
Market timing strategies with statistical edges can be constructed by entering positions when Z-scores fall below -2.5, indicating statistically oversold conditions, and scaling out when Z-scores exceed 2.5, suggesting overbought conditions. The 95% VaR serves as a stop-loss reference point, while trend confirmation indicators provide additional validation for position entry and exit decisions.
LIMITATIONS AND CONSIDERATIONS
Several statistical limitations affect the interpretation and application of these risk measures. Historical bias represents a fundamental challenge, as past drawdown patterns may not accurately predict future risk characteristics, particularly during structural market changes or regime shifts. Sample dependence means that results can be sensitive to the selected lookback period, with shorter periods providing more responsive but potentially less stable estimates.
Market regime changes can significantly alter the statistical parameters underlying the analysis. During periods of structural market evolution, historical distributions may provide poor guidance for future expectations. Additionally, many financial assets exhibit return distributions with fat tails that deviate from normal distribution assumptions, potentially leading to underestimation of extreme event probabilities.
Practical limitations include execution risk, where theoretical signals may not translate directly into actual trading results due to factors such as slippage, timing delays, and market impact. Liquidity constraints mean that risk metrics assume perfect liquidity, which may not hold during stressed market conditions when risk management becomes most critical.
Transaction costs are not incorporated into risk-adjusted return calculations, potentially overstating the attractiveness of strategies that require frequent trading. Behavioral factors represent another limitation, as human psychology may override statistical signals, particularly during periods of extreme market stress when disciplined risk management becomes most challenging.
TECHNICAL IMPLEMENTATION
Performance optimization ensures reliable operation across different market conditions and timeframes. All technical analysis functions are extracted from conditional statements to maintain Pine Script compliance and ensure consistent execution. Memory efficiency is achieved through optimized variable scoping and array usage, while computational speed benefits from vectorized calculations where possible.
Data quality requirements include clean price data without gaps or errors that could distort distribution analysis. Sufficient historical data is essential, with a minimum of 100 bars required and 500 or more preferred for reliable statistical inference. Time alignment across related assets ensures meaningful comparison when conducting multi-asset analysis.
The configuration parameters are organized into logical groups to enhance usability. Core settings include the Distribution Analysis Period (100-2000 bars), Drawdown Smoothing Period (1-50 bars), and Price Source selection. Advanced metrics settings control risk-free rate sourcing, either from live market data or fixed rate specification, along with toggles for various risk-adjusted metric calculations.
Display options provide flexibility in visual presentation, including color theme selection from eight available schemes, automatic dark mode optimization, and control over table display, position lines, percentile bands, and standard deviation overlays. These options ensure that the indicator can be adapted to different analytical workflows and visual preferences.
CONCLUSION
The Drawdown Distribution Analysis indicator provides risk management tools for traders seeking to understand their current position within historical risk patterns. By combining established statistical methodology with practical usability features, the tool enables evidence-based risk assessment and portfolio optimization decisions.
The implementation draws upon established academic research while providing practical features that address real-world trading requirements. Dynamic risk-free rate integration ensures accurate risk-adjusted performance calculations, while multiple color schemes accommodate different analytical preferences and use cases.
Academic compliance is maintained through transparent methodology and acknowledgment of limitations. The tool implements peer-reviewed statistical techniques while clearly communicating the constraints and assumptions underlying the analysis. This approach ensures that users can make informed decisions about the appropriate application of the risk assessment framework within their broader trading and investment processes.
BIBLIOGRAPHY
Artzner, P., Delbaen, F., Eber, J.M. and Heath, D. (1999) 'Coherent Measures of Risk', Mathematical Finance, 9(3), pp. 203-228.
Chekhlov, A., Uryasev, S. and Zabarankin, M. (2005) 'Drawdown Measure in Portfolio Optimization', International Journal of Theoretical and Applied Finance, 8(1), pp. 13-58.
Goldberg, L.R. and Mahmoud, O. (2017) 'Drawdown: From Practice to Theory and Back Again', Journal of Risk Management in Financial Institutions, 10(2), pp. 140-152.
Jorion, P. (2007) Value at Risk: The New Benchmark for Managing Financial Risk. 3rd edn. New York: McGraw-Hill.
Markowitz, H. (1952) 'Portfolio Selection', Journal of Finance, 7(1), pp. 77-91.
Sharpe, W.F. (1966) 'Mutual Fund Performance', Journal of Business, 39(1), pp. 119-138.
Sortino, F.A. and Price, L.N. (1994) 'Performance Measurement in a Downside Risk Framework', Journal of Investing, 3(3), pp. 59-64.
Young, T.W. (1991) 'Calmar Ratio: A Smoother Tool', Futures, 20(1), pp. 40-42.
SMI-DarknessIndicator Description: SMI-Darkness
The SMI-Darkness is an indicator based on the Stochastic Momentum Index (SMI), designed to help identify the strength and direction of an asset's trend, as well as potential buy and sell signals. It displays a smoothed SMI using multiple moving average options to customize the indicator’s behavior according to the user’s trading style.
Main Features
Smoothed SMI: Calculates the traditional SMI and smooths it using a user-configurable moving average, improving signal clarity.
Signal Line: Displays a smoothed signal line to identify crossovers with the SMI, generating potential entry or exit points.
Histogram: Shows the difference between the smoothed SMI and the signal line, visually highlighting trend strength. Blue bars indicate buying strength, while yellow bars indicate selling strength.
Horizontal Lines: Includes overbought (+40) and oversold (-40) levels, plus a neutral zero level to aid interpretation.
Indicator Parameters
SMI Short Period: Sets the short period used to calculate the SMI (default 5). Lower periods make the indicator more sensitive.
SMI Signal Period: Sets the period to smooth the signal line (default 5). Adjust to control the signal line's smoothness.
Moving Average Type: Choose the moving average type to smooth the SMI and signal line. Options include:
SMA (Simple Moving Average)
SMMA (Smoothed Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average) — Note: This is not an original or proprietary moving average but a publicly available open-source version created by TradingView users.
VWMA (Volume-Weighted Moving Average)
KAMA (Kaufman Adaptive Moving Average)
How to Use
Trend Identification: Observe the position of the smoothed SMI relative to the signal line and the histogram values.
When the histogram is positive (blue bars), momentum is bullish.
When the histogram is negative (yellow bars), momentum is bearish.
Buy and Sell Signals:
A crossover of the smoothed SMI above the signal line may indicate a buy signal.
A crossover of the smoothed SMI below the signal line may indicate a sell signal.
Overbought/Oversold Levels:
SMI values above +40 suggest potential overbought conditions, signaling caution on long positions.
Values below -40 suggest potential oversold conditions, indicating possible buying opportunities.
Customization: Adjust the parameters to balance sensitivity and noise, choosing the moving average type that best fits your trading style.
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD)
Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis
The Revolutionary Concept: When Physics Meets Trading
After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits.
The Core Innovation: Ergodic Theory Applied to Markets
What Makes Markets Ergodic or Non-Ergodic?
In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading:
Ergodic Markets (Mean-Reverting)
- Time averages equal ensemble averages
- Historical patterns repeat reliably
- Price oscillates around equilibrium
- Traditional indicators work well
Non-Ergodic Markets (Trending)
- Path dependency dominates
- History doesn't predict future
- Price creates new equilibrium levels
- Momentum strategies excel
The Mathematical Framework
The Ergodic Score combines three critical divergences:
Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3
Where:
Price Divergence: How far current price deviates from market consensus
Return Divergence: Momentum differential between instrument and market
Volatility Divergence: Volatility regime misalignment
Market Stress: Adaptive multiplier based on current conditions
The Ensemble Analysis Revolution
Beyond Single-Instrument Analysis
Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach:
Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves
Filters False Signals: Requires broader market confirmation
Identifies Regime Shifts: Detects when entire market structure changes
Provides Context: Shows if moves are isolated or systemic
Dynamic Threshold Adaptation
Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions:
Base Threshold = SMA(Ergodic Score, Lookback × 3)
Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity
Final Threshold = Smoothed(Base + Adaptive)
This creates context-aware signals that remain effective across different market environments.
The Confidence Engine: Know Your Signal Quality
Multi-Factor Confidence Scoring
Every signal receives a confidence score based on:
Signal Clarity (0-35%): How decisively the ergodic threshold is crossed
Momentum Strength (0-25%): Rate of ergodic change
Volatility Alignment (0-20%): Whether volatility supports the signal
Market Quality (0-20%): Price convergence and path dependency factors
Real-Time Confidence Updates
The Live Confidence metric continuously updates, showing:
- Current opportunity quality
- Market state clarity
- Historical performance influence
- Signal recency boost
- Visual Intelligence System
Adaptive Ergodic Field Bands
Dynamic bands that expand and contract based on market state:
Primary Color: Ergodic state (mean-reverting)
Danger Color: Non-ergodic state (trending)
Band Width: Expected price movement range
Squeeze Indicators: Volatility compression warnings
Quantum Wave Ribbons
Triple EMA system (8, 21, 55) revealing market flow:
Compressed Ribbons: Consolidation imminent
Expanding Ribbons: Directional move developing
Color Coding: Matches current ergodic state
Phase Transition Signals
Clear entry/exit markers at regime changes:
Bull Signals: Ergodic restoration (mean reversion opportunity)
Bear Signals: Ergodic break (trend following opportunity)
Confidence Labels: Percentage showing signal quality
Visual Intensity: Stronger signals = deeper colors
Professional Dashboard Suite
Main Analytics Panel (Top Right)
Market State Monitor
- Current regime (Ergodic/Non-Ergodic)
- Ergodic score with threshold
- Path dependency strength
- Quantum coherence percentage
Divergence Metrics
- Price divergence with severity
- Volatility regime classification
- Strategy mode recommendation
- Signal strength indicator
Live Intelligence
- Real-time confidence score
- Color-coded risk levels
- Dynamic strategy suggestions
Performance Tracking (Left Panel)
Signal Analytics
- Total historical signals
- Win rate with W/L breakdown
- Current streak tracking
- Closed trade counter
Regime Analysis
- Current market behavior
- Bars since last signal
- Recommended actions
- Average confidence trends
Strategy Command Center (Bottom Right)
Adaptive Recommendations
- Active strategy mode
- Primary approach (mean reversion/momentum)
- Suggested indicators ("weapons")
- Entry/exit methodology
- Risk management guidance
- Comprehensive Input Guide
Core Algorithm Parameters
Analysis Period (10-100 bars)
Scalping (10-15): Ultra-responsive, more signals, higher noise
Day Trading (20-30): Balanced sensitivity and stability
Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes
Divergence Threshold (0.5-5.0)
Hair Trigger (0.5-1.0): Catches every wiggle, many false signals
Balanced (1.5-2.5): Good signal-to-noise ratio
Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance
Path Memory (20-200 bars)
Short Memory (20-50): Recent behavior focus, quick adaptation
Medium Memory (50-100): Balanced historical context
Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag
Signal Spacing (5-50 bars)
Aggressive (5-10): Allows rapid-fire signals
Normal (15-25): Prevents clustering, maintains flow
Conservative (30-50): Major setups only Default: 15 - optimal trade frequency
Ensemble Configuration
Select markets for consensus analysis:
SPY: Broad market sentiment
QQQ: Technology leadership
IWM: Small-cap risk appetite
DIA: Blue-chip stability
More instruments = stronger consensus but potentially diluted signals
Visual Customization
Color Themes (6 professional options):
Quantum: Cyan/Pink - Modern trading aesthetic
Matrix: Green/Red - Classic terminal look
Heat: Blue/Red - Temperature metaphor
Neon: Cyan/Magenta - High contrast
Ocean: Turquoise/Coral - Calming palette
Sunset: Red-orange/Teal - Warm gradients
Display Controls:
- Toggle each visual component
- Adjust transparency levels
- Scale dashboard text
- Show/hide confidence scores
- Trading Strategies by Market State
- Ergodic State Strategy (Primary Color Bands)
Market Characteristics
- Price oscillates predictably
- Support/resistance hold
- Volume patterns repeat
- Mean reversion dominates
Optimal Approach
Entry: Fade moves at band extremes
Target: Middle band (equilibrium)
Stop: Just beyond outer bands
Size: Full confidence-based position
Recommended Tools
- RSI for oversold/overbought
- Bollinger Bands for extremes
- Volume profile for levels
- Non-Ergodic State Strategy (Danger Color Bands)
Market Characteristics
- Price trends persistently
- Levels break decisively
- Volume confirms direction
- Momentum accelerates
Optimal Approach
Entry: Breakout from bands
Target: Trail with expanding bands
Stop: Inside opposite band
Size: Scale in with trend
Recommended Tools
- Moving average alignment
- ADX for trend strength
- MACD for momentum
- Advanced Features Explained
Quantum Coherence Metric
Measures phase alignment between individual and ensemble behavior:
80-100%: Perfect sync - strong mean reversion setup
50-80%: Moderate alignment - mixed signals
0-50%: Decoherence - trending behavior likely
Path Dependency Analysis
Quantifies how much history influences current price:
Low (<30%): Technical patterns reliable
Medium (30-50%): Mixed influences
High (>50%): Fundamental shift occurring
Volatility Regime Classification
Contextualizes current volatility:
Normal: Standard strategies apply
Elevated: Widen stops, reduce size
Extreme: Defensive mode required
Signal Strength Indicator
Real-time opportunity quality:
- Distance from threshold
- Momentum acceleration
- Cross-validation factors
Risk Management Framework
Position Sizing by Confidence
90%+ confidence = 100% position size
70-90% confidence = 75% position size
50-70% confidence = 50% position size
<50% confidence = 25% or skip
Dynamic Stop Placement
Ergodic State: ATR × 1.0 from entry
Non-Ergodic State: ATR × 2.0 from entry
Volatility Adjustment: Multiply by current regime
Multi-Timeframe Alignment
- Check higher timeframe regime
- Confirm ensemble consensus
- Verify volume participation
- Align with major levels
What Makes EMD Unique
Original Contributions
First Ergodic Theory Trading Application: Transforms abstract physics into practical signals
Ensemble Market Analysis: Revolutionary multi-market divergence system
Adaptive Confidence Engine: Institutional-grade signal quality metrics
Quantum Coherence: Novel market alignment measurement
Smart Signal Management: Prevents clustering while maintaining responsiveness
Technical Innovations
Dynamic Threshold Adaptation: Self-adjusting sensitivity
Path Memory Integration: Historical dependency weighting
Stress-Adjusted Scoring: Market condition normalization
Real-Time Performance Tracking: Built-in strategy analytics
Optimization Guidelines
By Timeframe
Scalping (1-5 min)
Period: 10-15
Threshold: 0.5-1.0
Memory: 20-30
Spacing: 5-10
Day Trading (5-60 min)
Period: 20-30
Threshold: 1.5-2.5
Memory: 40-60
Spacing: 15-20
Swing Trading (1H-1D)
Period: 40-60
Threshold: 2.0-3.0
Memory: 80-120
Spacing: 25-35
Position Trading (1D-1W)
Period: 60-100
Threshold: 3.0-5.0
Memory: 100-200
Spacing: 40-50
By Market Condition
Trending Markets
- Increase threshold
- Extend memory
- Focus on breaks
Ranging Markets
- Decrease threshold
- Shorten memory
- Focus on restores
Volatile Markets
- Increase spacing
- Raise confidence requirement
- Reduce position size
- Integration with Other Analysis
- Complementary Indicators
For Ergodic States
- RSI divergences
- Bollinger Band squeezes
- Volume profile nodes
- Support/resistance levels
For Non-Ergodic States
- Moving average ribbons
- Trend strength indicators
- Momentum oscillators
- Breakout patterns
- Fundamental Alignment
- Check economic calendar
- Monitor sector rotation
- Consider market themes
- Evaluate risk sentiment
Troubleshooting Guide
Too Many Signals:
- Increase threshold
- Extend signal spacing
- Raise confidence minimum
Missing Opportunities
- Decrease threshold
- Reduce signal spacing
- Check ensemble settings
Poor Win Rate
- Verify timeframe alignment
- Confirm volume participation
- Review risk management
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques.
Transform market chaos into trading clarity with Ergodic Market Divergence.
Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
IBD Style Candles [tradeviZion]IBD Style Candles - Visualize Price Bars Like the Pros
Transform your chart with institutional-grade IBD-style bars and customizable moving averages for both daily and weekly timeframes. This indicator helps you visualize price action the way professionals at Investors Business Daily do.
What This Indicator Offers:
IBD-style bar visualization (clean, professional appearance)
Customizable coloring based on price movement or previous close
Automatic timeframe detection for appropriate moving averages
Four customizable moving averages for daily timeframes (10, 21, 50, 200)
Four customizable moving averages for weekly timeframes (10, 20, 30, 40)
Options to use SMAs or EMAs with adjustable colors and line widths
"The IBD-style bars provide a cleaner view of price action, allowing you to focus on market structure without the visual noise of traditional candles."
How to Apply the IBD-Style Bars:
On your TradingView chart, select "Bars" as the chart type from the main chart type selection menu (next to the time interval options).
Right-click on the chart and select "Settings".
Go to the "Symbol" tab.
Uncheck the "Thin Bars" option to display thicker bars.
Set the "Up Color" and "Down Color" opacity to 0 for a clean IBD-style appearance.
Enable "IBD-style Candles" from the script's settings.
To revert to the original chart style, repeat the above steps and restore the default settings.
Moving Average Configuration:
The indicator automatically detects your timeframe and displays the appropriate moving averages:
Daily Timeframe Moving Averages:
10-day moving average (SMA/EMA)
21-day moving average (SMA/EMA)
50-day moving average (SMA/EMA)
200-day moving average (SMA/EMA)
Weekly Timeframe Moving Averages:
10-week moving average (SMA/EMA)
20-week moving average (SMA/EMA)
30-week moving average (SMA/EMA)
40-week moving average (SMA/EMA)
Usage Tips:
Enable "Color bars based on previous close" to identify momentum shifts based on prior candle closes
Customize colors to match your chart theme or preference
Enable only the moving averages relevant to your trading strategy
For cleaner charts, reduce the number of visible moving averages
For stock trading, the 10/21/50/200 daily and 10/40 weekly MAs are most commonly used by institutions
// Example configuration for different timeframes
if timeframe.isweekly
// Weekly configuration
showSMA1_Weekly = true // 10-week MA
showSMA4_Weekly = true // 40-week MA
else
// Daily configuration
showMA2_Daily = true // 21-day MA
showMA3_Daily = true // 50-day MA
showMA4_Daily = true // 200-day MA
While the IBD style provides clarity, remember that no visualization method guarantees trading success. Always combine with proper analysis and risk management.
If you found this indicator helpful, please consider leaving a comment or suggestion for future improvements. Happy trading!
ian_Trado v15 Trend Entry Filter# 📈 ian_Trado v15 Trend Entry Filter (Pine Script v6)
The **ian_Trado v15** is a multi-factor **trend confirmation filter** for NASDAQ (NAS100), Dow Jones (DJ30), Gold (XAU), DAX, and USDJPY.
It combines **EMA structure**, **Donchian channel breakout**, **MACD histogram momentum**, **Volume confirmation**, and a **Range Compression Filter** to avoid entering during choppy or sideways markets.
✅ Designed for **bot deployment** (e.g., grid bots, long/short breakout bots) or **manual trading**.
---
## 🔍 How This Filter Works:
1. **EMA Trend Confirmation**
- Long Trend: EMA(1) > EMA(5) > EMA(60)
- Short Trend: EMA(1) < EMA(5) < EMA(60)
2. **Donchian Channel Width Expansion**
- Only allows trades when the **breakout width** exceeds a minimum threshold.
3. **MACD Histogram Slope Filter (Optional)**
- Confirms momentum building in the direction of the trend.
- Strict Mode: MACD histogram must consistently rise or fall over 3 bars.
4. **Volume Filter (Optional)**
- Ensures volume supports the move (filters out weak conditions).
5. **Range Compression Filter (Optional)**
- Avoids entries during sideways chop.
6. **Cooldown Control**
- Limits overtrading by requiring spacing between entries.
7. **Exit Conditions**
- Gray dot appears when trending conditions are no longer valid.
---
## ⚙️ Settings Explained:
| Setting | Description |
|:--------|:------------|
| **Cooldown Bars** | Minimum bars between consecutive entries |
| **Profit Target (%)** | Visual profit marker for exit tracking |
| **Donchian Channel Length** | Lookback period for detecting breakout width |
| **Minimum Donchian Width** | Threshold to confirm meaningful breakouts |
| **Volume Lookback Period** | Average volume validation window |
| **Box Range (Range Compression)** | Max allowed price range over lookback bars |
| **Range Compression Bars** | Number of bars to check for range compression |
| **Strict MACD Filter** | Use stricter MACD slope checks |
---
## 📊 Recommended Settings by Instrument (1H Chart):
| Asset | Min Donchian Width | Range Compression | Profit Target |
|:------|:-------------------|:------------------|:--------------|
| **NAS100** (Nasdaq) | 300–450 pts | 400 pts / 40 bars | 1.5% |
| **DJ30** (Dow Jones) | 400–600 pts | 500 pts / 40 bars | 1.0–1.5% |
| **XAU/USD** (Gold) | 10–15 pts | 8 pts / 30 bars | 0.8–1.2% |
| **DAX40** (Germany) | 200–300 pts | 250 pts / 40 bars | 1.0% |
| **USD/JPY** (Forex) | 0.5–0.8 pts | 0.4 pts / 40 bars | 0.5–0.8% |
---
## 🔔 Alerts Available:
- Long Entry
- Short Entry
- Exit Zone
> **Note:** Volume filter may be disabled if volume is unreliable (e.g., some forex pairs).
---
## 📅 Version:
- **ian_Trado v15** — April 2025
- Built with **Pine Script v6** for maximum stability
- Clean toggling and plotting logic (no `na` errors)
3SMA +30 Stan Weinstein +200WMA +alert-crossingIndicator Description: Stan Weinstein Strategy + Key Moving Averages
🔹 Introduction
This indicator combines the Classic Stan Weinstein Strategy with a modern update based on the author’s latest recommendations. It includes key moving averages that help identify trends and potential entry or exit points in the market.
📊 Included Moving Averages (Fully Customizable)
All moving averages in this indicator have modifiable parameters, allowing users to adjust values in the input settings.
1️⃣ 30-Week SMA (Stan Weinstein): A long-term trend indicator defining the asset’s main trend.
2️⃣ 40-Week SMA (Weinstein Update): An adjusted version recommended by the author in his recent updates.
3️⃣ 10-Day SMA: Displays short-term price action and helps confirm trend changes.
4️⃣ 100-Day SMA: A medium-term trend measure used by traders to assess trend strength.
5️⃣ 200-Day WMA (Weighted Moving Average): A very long-term indicator that filters market noise and confirms solid trends.
🔍 How to Interpret It
✔️ 30/40-Week SMA in an uptrend → Confirms an accumulation phase or an upward price trend.
✔️ Price above the 200-WMA → Indicates a strong and healthy long-term trend.
✔️ 10-SMA crossing other moving averages → Can signal an early entry or exit opportunity.
✔️ 100-SMA vs. 200-WMA → A breakout of the 100-SMA above the 200-WMA may signal a new bullish phase.
🚨 Built-in Alerts (Key Crossovers)
The indicator includes automatic alerts to notify traders when key moving averages cross, allowing timely reactions:
🔔 10-SMA crossing the 40-SMA → Possible medium-term trend shift.
🔔 10-SMA crossing the 200-WMA → Confirmation of a stronger trend.
🔔 40-SMA crossing the 200-WMA → Long-term trend reversal signal.
💡 Customization: All moving average periods can be adjusted in the input settings, making the indicator flexible for different trading strategies.
McClellan Oscillator - IRUS Optimized🧠 McClellan Oscillator (IRUS Index)
Type: Market Breadth Indicator
Category: Breadth, Momentum
Purpose: Gauge the internal strength of the IRUS index and anticipate trend reversals
📌 Based on
This indicator is built on the concept of advancing vs. declining issues — the number of stocks rising vs. falling each day within the IRUS index (a custom group of 40 Russian stocks).
It calculates the net advances (advancers minus decliners), then applies two exponential moving averages (EMA):
java
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Edit
McClellan Oscillator = EMA_19(Net Advances) - EMA_39(Net Advances)
Where:
Net Advances = Number of advancing stocks - Number of declining stocks
Calculated from a fixed set of 40 IRUS stocks
🧭 What it shows
Above 0 → more stocks are rising: market is internally strong.
Below 0 → more stocks are falling: underlying weakness.
Rising from below -100 → oversold breadth, possible bullish reversal.
Falling from above +100 → overbought breadth, possible correction.
🎯 How to use it
1. Buy/Sell Signals
Buy: Oscillator drops below -100 and turns up → oversold, potential rally.
Sell: Oscillator rises above +100 and turns down → overbought, risk of pullback.
2. Trend Strength Confirmation
Sustained above 0 → confirms bullish trend.
Crosses below 0 → early warning of weakening market breadth.
3. Divergences with IRUS Price
IRUS rises, but Oscillator falls → narrowing leadership, bearish divergence.
IRUS falls, but Oscillator rises → improving breadth, bullish divergence.
⚠️ Notes
The oscillator measures participation, not price.
Works best with daily timeframe.
Does not account for volume or magnitude of price moves.
Use with price action or other indicators for confirmation.
⚙️ Custom Implementation
This version is specifically adapted for the IRUS index, using a fixed list of 40 component stocks.
Optimized for Pine Script v6 and complies with TradingView's request limits (max 40).
Smart Liquidity Wave [The_lurker]"Smart Liquidity Wave" هو مؤشر تحليلي متطور يهدف لتحديد نقاط الدخول والخروج المثلى بناءً على تحليل السيولة، قوة الاتجاه، وإشارات السوق المفلترة. يتميز المؤشر بقدرته على تصنيف الأدوات المالية إلى أربع فئات سيولة (ضعيفة، متوسطة، عالية، عالية جدًا)، مع تطبيق شروط مخصصة لكل فئة تعتمد على تحليل الموجات السعرية، الفلاتر المتعددة، ومؤشر ADX.
فكرة المؤشر
الفكرة الأساسية هي الجمع بين قياس السيولة اليومية الثابتة وتحليل ديناميكي للسعر باستخدام فلاتر متقدمة لتوليد إشارات دقيقة. المؤشر يركز على تصفية الضوضاء في السوق من خلال طبقات متعددة من التحليل، مما يجعله أداة ذكية تتكيف مع الأدوات المالية المختلفة بناءً على مستوى سيولتها.
طريقة عمل المؤشر
1- قياس السيولة:
يتم حساب السيولة باستخدام متوسط حجم التداول على مدى 14 يومًا مضروبًا في سعر الإغلاق، ويتم ذلك دائمًا على الإطار الزمني اليومي لضمان ثبات القيمة بغض النظر عن الإطار الزمني المستخدم في الرسم البياني.
يتم تصنيف السيولة إلى:
ضعيفة: أقل من 5 ملايين (قابل للتعديل).
متوسطة: من 5 إلى 20 مليون.
عالية: من 20 إلى 50 مليون.
عالية جدًا: أكثر من 50 مليون.
هذا الثبات في القياس يضمن أن تصنيف السيولة لا يتغير مع تغير الإطار الزمني، مما يوفر أساسًا موثوقًا للإشارات.
2- تحليل الموجات السعرية:
يعتمد المؤشر على تحليل الموجات باستخدام متوسطات متحركة متعددة الأنواع (مثل SMA، EMA، WMA، HMA، وغيرها) يمكن للمستخدم اختيارها وتخصيص فتراتها ، يتم دمج هذا التحليل مع مؤشرات إضافية مثل RSI (مؤشر القوة النسبية) وMFI (مؤشر تدفق الأموال) بوزن محدد (40% للموجات، 30% لكل من RSI وMFI) للحصول على تقييم شامل للاتجاه.
3- الفلاتر وطريقة عملها:
المؤشر يستخدم نظام فلاتر متعدد الطبقات لتصفية الإشارات وتقليل الضوضاء، وهي من أبرز الجوانب المخفية التي تعزز دقته:
الفلتر الرئيسي (Main Filter):
يعمل على تنعيم التغيرات السعرية السريعة باستخدام معادلة رياضية تعتمد على تحليل الإشارات (Signal Processing).
يتم تطبيقه على السعر لاستخراج الاتجاهات الأساسية بعيدًا عن التقلبات العشوائية، مع فترة زمنية قابلة للتعديل (افتراضي: 30).
يستخدم تقنية مشابهة للفلاتر عالية التردد (High-Pass Filter) للتركيز على الحركات الكبيرة.
الفلتر الفرعي (Sub Filter):
يعمل كطبقة ثانية للتصفية، مع فترة أقصر (افتراضي: 12)، لضبط الإشارات بدقة أكبر.
يستخدم معادلات تعتمد على الترددات المنخفضة للتأكد من أن الإشارات الناتجة تعكس تغيرات حقيقية وليست مجرد ضوضاء.
إشارة الزناد (Signal Trigger):
يتم تطبيق متوسط متحرك على نتائج الفلتر الرئيسي لتوليد خط إشارة (Signal Line) يُقارن مع عتبات محددة للدخول والخروج.
يمكن تعديل فترة الزناد (افتراضي: 3 للدخول، 5 للخروج) لتسريع أو تبطيء الإشارات.
الفلتر المربع (Square Filter):
خاصية مخفية تُفعّل افتراضيًا تعزز دقة الفلاتر عن طريق تضييق نطاق التذبذبات المسموح بها، مما يقلل من الإشارات العشوائية في الأسواق المتقلبة.
4- تصفية الإشارات باستخدام ADX:
يتم استخدام مؤشر ADX كفلتر نهائي للتأكد من قوة الاتجاه قبل إصدار الإشارة:
ضعيفة ومتوسطة: دخول عندما يكون ADX فوق 40، خروج فوق 50.
عالية: دخول فوق 40، خروج فوق 55.
عالية جدًا: دخول فوق 35، خروج فوق 38.
هذه العتبات قابلة للتعديل، مما يسمح بتكييف المؤشر مع استراتيجيات مختلفة.
5- توليد الإشارات:
الدخول: يتم إصدار إشارة شراء عندما تنخفض خطوط الإشارة إلى ما دون عتبة محددة (مثل -9) مع تحقق شروط الفلاتر، السيولة، وADX.
الخروج: يتم إصدار إشارة بيع عندما ترتفع الخطوط فوق عتبة (مثل 109 أو 106 حسب الفئة) مع تحقق الشروط الأخرى.
تُعرض الإشارات بألوان مميزة (أزرق للدخول، برتقالي للضعيفة والمتوسطة، أحمر للعالية والعالية جدًا) وبثلاثة أحجام (صغير، متوسط، كبير).
6- عرض النتائج:
يظهر مستوى السيولة الحالي في جدول في أعلى يمين الرسم البياني، مما يتيح للمستخدم معرفة فئة الأصل بسهولة.
7- دعم التنبيهات:
تنبيهات فورية لكل فئة سيولة، مما يسهل التداول الآلي أو اليدوي.
%%%%% الجوانب المخفية في الكود %%%%%
معادلات الفلاتر المتقدمة: يستخدم المؤشر معادلات رياضية معقدة مستوحاة من معالجة الإشارات لتنعيم البيانات واستخراج الاتجاهات، مما يجعله أكثر دقة من المؤشرات التقليدية.
التكيف التلقائي: النظام يضبط نفسه داخليًا بناءً على التغيرات في السعر والحجم، مع عوامل تصحيح مخفية (مثل معامل التنعيم في الفلاتر) للحفاظ على الاستقرار.
التوزيع الموزون: الدمج بين الموجات، RSI، وMFI يتم بأوزان محددة (40%، 30%، 30%) لضمان توازن التحليل، وهي تفاصيل غير ظاهرة مباشرة للمستخدم لكنها تؤثر على النتائج.
الفلتر المربع: خيار مخفي يتم تفعيله افتراضيًا لتضييق نطاق الإشارات، مما يقلل من التشتت في الأسواق ذات التقلبات العالية.
مميزات المؤشر
1- فلاتر متعددة الطبقات: تضمن تصفية الضوضاء وإنتاج إشارات موثوقة فقط.
2- ثبات السيولة: قياس السيولة اليومي يجعل التصنيف متسقًا عبر الإطارات الزمنية.
3- تخصيص شامل: يمكن تعديل حدود السيولة، عتبات ADX، فترات الفلاتر، وأنواع المتوسطات المتحركة.
4- إشارات مرئية واضحة: تصميم بصري يسهل التفسير مع تنبيهات فورية.
5- تقليل الإشارات الخاطئة: الجمع بين الفلاتر وADX يعزز الدقة ويقلل من التشتت.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
#### **What is the Smart Liquidity Wave Indicator?**
"Smart Liquidity Wave" is an advanced analytical indicator designed to identify optimal entry and exit points based on liquidity analysis, trend strength, and filtered market signals. It stands out with its ability to categorize financial instruments into four liquidity levels (Weak, Medium, High, Very High), applying customized conditions for each category based on price wave analysis, multi-layered filters, and the ADX (Average Directional Index).
#### **Concept of the Indicator**
The core idea is to combine a stable daily liquidity measurement with dynamic price analysis using sophisticated filters to generate precise signals. The indicator focuses on eliminating market noise through multiple analytical layers, making it an intelligent tool that adapts to various financial instruments based on their liquidity levels.
#### **How the Indicator Works**
1. **Liquidity Measurement:**
- Liquidity is calculated using the 14-day average trading volume multiplied by the closing price, always based on the daily timeframe to ensure value consistency regardless of the chart’s timeframe.
- Liquidity is classified as:
- **Weak:** Less than 5 million (adjustable).
- **Medium:** 5 to 20 million.
- **High:** 20 to 50 million.
- **Very High:** Over 50 million.
- This consistency in measurement ensures that liquidity classification remains unchanged across different timeframes, providing a reliable foundation for signals.
2. **Price Wave Analysis:**
- The indicator relies on wave analysis using various types of moving averages (e.g., SMA, EMA, WMA, HMA, etc.), which users can select and customize in terms of periods.
- This analysis is integrated with additional indicators like RSI (Relative Strength Index) and MFI (Money Flow Index), weighted specifically (40% waves, 30% RSI, 30% MFI) to provide a comprehensive trend assessment.
3. **Filters and Their Functionality:**
- The indicator employs a multi-layered filtering system to refine signals and reduce noise, a key hidden feature that enhances its accuracy:
- **Main Filter:**
- Smooths rapid price fluctuations using a mathematical equation rooted in signal processing techniques.
- Applied to price data to extract core trends away from random volatility, with an adjustable period (default: 30).
- Utilizes a technique similar to high-pass filters to focus on significant movements.
- **Sub Filter:**
- Acts as a secondary filtering layer with a shorter period (default: 12) for finer signal tuning.
- Employs low-frequency-based equations to ensure resulting signals reflect genuine changes rather than mere noise.
- **Signal Trigger:**
- Applies a moving average to the main filter’s output to generate a signal line, compared against predefined entry and exit thresholds.
- Trigger period is adjustable (default: 3 for entry, 5 for exit) to speed up or slow down signals.
- **Square Filter:**
- A hidden feature activated by default, enhancing filter precision by narrowing the range of permissible oscillations, reducing random signals in volatile markets.
4. **Signal Filtering with ADX:**
- ADX is used as a final filter to confirm trend strength before issuing signals:
- **Weak and Medium:** Entry when ADX exceeds 40, exit above 50.
- **High:** Entry above 40, exit above 55.
- **Very High:** Entry above 35, exit above 38.
- These thresholds are adjustable, allowing the indicator to adapt to different trading strategies.
5. **Signal Generation:**
- **Entry:** A buy signal is triggered when signal lines drop below a specific threshold (e.g., -9) and conditions for filters, liquidity, and ADX are met.
- **Exit:** A sell signal is issued when signal lines rise above a threshold (e.g., 109 or 106, depending on the category) with all conditions satisfied.
- Signals are displayed in distinct colors (blue for entry, orange for Weak/Medium, red for High/Very High) and three sizes (small, medium, large).
6. **Result Display:**
- The current liquidity level is shown in a table at the top-right of the chart, enabling users to easily identify the asset’s category.
7. **Alert Support:**
- Instant alerts are provided for each liquidity category, facilitating both automated and manual trading.
#### **Hidden Aspects in the Code**
- **Advanced Filter Equations:** The indicator uses complex mathematical formulas inspired by signal processing to smooth data and extract trends, making it more precise than traditional indicators.
- **Automatic Adaptation:** The system internally adjusts based on price and volume changes, with hidden correction factors (e.g., smoothing coefficients in filters) to maintain stability.
- **Weighted Distribution:** The integration of waves, RSI, and MFI uses fixed weights (40%, 30%, 30%) for balanced analysis, a detail not directly visible but impactful on results.
- **Square Filter:** A hidden option, enabled by default, narrows signal range to minimize dispersion in high-volatility markets.
#### **Indicator Features**
1. **Multi-Layered Filters:** Ensures noise reduction and delivers only reliable signals.
2. **Liquidity Stability:** Daily liquidity measurement keeps classification consistent across timeframes.
3. **Comprehensive Customization:** Allows adjustments to liquidity thresholds, ADX levels, filter periods, and moving average types.
4. **Clear Visual Signals:** User-friendly design with easy-to-read visuals and instant alerts.
5. **Reduced False Signals:** Combining filters and ADX enhances accuracy and minimizes clutter.
#### **Disclaimer**
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
Smart Volume S/R Pro [The_lurker]مؤشر "Smart Volume S/R Pro " هو أداة تحليل فني متقدمة مصممة لمساعدة المتداولين في تحديد مستويات الدعم والمقاومة القوية بناءً على حجم التداول، مع إضافة ميزات تحليلية متطورة مثل تصفية الاتجاه ، مناطق الثقة ، تقييم القوة ، حساب احتمالية الاختراق ، قياس السيولة ، تحديد الأهداف السعرية ، ومستويات فيبوناتشي . وايضا تقديم تسميات (Labels) بجانب كل مستوى دعم ومقاومة، تحتوي على أرقام ومعلومات دقيقة تعكس حالة السوق. هذه التسميات ليست مجرد زينة، بل أدوات تحليلية تساعد المتداولين على اتخاذ قرارات مستنيرة بناءً على بيانات السوقيهدف هذا المؤشر إلى توفير رؤية شاملة للسوق .
الوظائف الرئيسية للمؤشر
1- تحديد مستويات الدعم والمقاومة بناءً على حجم التداول العالي
يقوم المؤشر بتحليل الأشرطة (Bars) السابقة (حتى 300 شريط افتراضيًا) لتحديد النقاط التي شهدت أعلى مستويات حجم التداول.
يرسم خطوط أفقية تمثل مستويات المقاومة (عند أعلى سعر في تلك الأشرطة) والدعم (عند أدنى سعر)، ويمكن للمستخدم اختيار عدد الخطوط المعروضة (من 1 إلى 6).
2- تصفية الاتجاه باستخدام مؤشر ADX
يستخدم المؤشر مؤشر الاتجاه المتوسط (ADX) لتقييم قوة الاتجاه في السوق.
عندما تكون قوة الاتجاه عالية (تتجاوز عتبة محددة، 25 افتراضيًا)، يقلل المؤشر عدد مستويات الدعم والمقاومة المعروضة للتركيز فقط على المستويات الأكثر أهمية.
3- مناطق الثقة الديناميكية
يضيف المؤشر مناطق حول مستويات الدعم والمقاومة بناءً على متوسط المدى الحقيقي (ATR)، مما يساعد المتداولين على تصور النطاقات التي قد يتفاعل فيها السعر مع هذه المستويات.
يمكن تعديل عرض هذه المناطق باستخدام مضاعف ATR.
4- تقييم قوة المستويات
يحسب المؤشر قوة كل مستوى بناءً على حجم التداول، عدد المرات التي تم اختبار المستوى فيها (Touch Count)، وقرب السعر الحالي من المستوى.
يتم عرض درجة القوة (من 0 إلى 100) بجانب كل مستوى إذا تم تفعيل هذه الخاصية.
5- احتمالية الاختراق
يقدّر المؤشر احتمالية اختراق كل مستوى بناءً على الزخم (ROC)، قوة المستوى، والمسافة بين السعر الحالي والمستوى.
يظهر الاحتمال كنسبة مئوية إذا تم تفعيل الخيار، مما يساعد المتداولين على توقع الحركات المحتملة.
6- تحليل السيولة التاريخية
يقيس المؤشر السيولة حول كل مستوى بناءً على حجم التداول في النطاقات القريبة منه.
يمكن عرض قيم السيولة في التسميات أو استخدامها لتعديل عرض الخطوط (الخطوط الأكثر سيولة تظهر أعرض).
7- الأهداف السعرية
عند تفعيل هذه الخاصية، يحسب المؤشر أهداف سعرية للاختراق (Breakout) والارتداد (Reversal) بناءً على الزخم وقوة المستوى وATR.
يمكن عرض هذه الأهداف كنصوص في التسميات أو كخطوط أفقية على الرسم البياني.
8- مستويات فيبوناتشي
يرسم المؤشر مستويات فيبوناتشي (0.0، 0.236، 0.382، 0.5، 0.618، 0.786، 1.0) بناءً على أعلى وأدنى سعر في فترة النظرة الخلفية.
يمكن للمستخدم اختيار أي من هذه المستويات لعرضها أو إخفائها.
9- تنبيه شامل للاختراق
يوفر المؤشر تنبيهًا واحدًا يشمل جميع المستويات، حيث يُطلق التنبيه عندما يخترق السعر أي مستوى دعم أو مقاومة مع رسالة توضح نوع الاختراق والمستوى المخترق.
كيفية عمل المؤشر
الخطوة الأولى: يحدد المؤشر الأشرطة ذات الحجم العالي خلال فترة النظرة الخلفية المحددة (Lookback Period).
الخطوة الثانية: يرسم مستويات الدعم والمقاومة بناءً على أعلى وأدنى الأسعار في تلك الأشرطة، مع مراعاة عدد الخطوط المختارة من المستخدم.
الخطوة الثالثة: يطبق مرشح الاتجاه (إذا كان مفعلاً) لتقليل عدد المستويات في حالة الاتجاه القوي.
الخطوة الرابعة: يضيف التحليلات الإضافية مثل القوة، السيولة، احتمالية الاختراق، والأهداف السعرية، ويرسم مناطق الثقة ومستويات فيبوناتشي حسب الإعدادات.
الخطوة الخامسة: يراقب السعر ويطلق تنبيهًا عند الاختراق.
الإعدادات القابلة للتخصيص
1- فترة النظرة الخلفية (Lookback Period): عدد الأشرطة التي يتم تحليلها (افتراضيًا 300).
2- عدد الخطوط (Number of Lines): من 1 إلى 6 مستويات دعم ومقاومة.
3- الألوان والأنماط: يمكن تغيير ألوان الخطوط وأنماطها (ممتلئة، متقطعة، منقطة).
4- التسميات: تفعيل/تعطيل التسميات، وحجمها، وموقعها، ولون النص.
5- مرشح الاتجاه: تفعيل/تعطيل ADX، وتعديل طوله وعتبته.
6- مناطق الثقة: تفعيل/تعطيل، وتعديل طول ATR ومضاعفه.
7- القوة واحتمالية الاختراق: تفعيل/تعطيل العرض، وتعديل طول ROC.
8- السيولة: تفعيل/تعطيل تأثير السيولة على عرض الخطوط وقيمها في التسميات.
9- الأهداف السعرية: تفعيل/تعطيل الأهداف وعرضها كخطوط.
10- فيبوناتشي: اختيار المستويات المعروضة ولون الخطوط.
فوائد المؤشر
دقة عالية: يعتمد على حجم التداول لتحديد المستويات، مما يجعله أكثر موثوقية من المستويات العشوائية.
مرونة: يوفر خيارات تخصيص واسعة تتيح للمتداولين تكييفه حسب استراتيجياتهم.
تحليل شامل: يجمع بين الدعم والمقاومة، الاتجاه، السيولة، والأهداف في أداة واحدة.
سهولة الاستخدام: التسميات والتنبيهات تجعل من السهل متابعة السوق دون تعقيد.
==================================================================================تسميات (Labels) بجانب كل مستوى دعم ومقاومة، تحتوي على أرقام ومعلومات دقيقة تعكس حالة السوق. هذه التسميات ليست مجرد زينة، بل أدوات تحليلية تساعد المتداولين على اتخاذ قرارات مستنيرة بناءً على بيانات السوق. في هذا الشرح، سنستعرض كل رقم أو قيمة تظهر في التسميات ومعناها العملي.
مكونات التسميات
التسميات تظهر بجانب كل مستوى دعم (Support) ومقاومة (Resistance) وتبدأ بحرف "S" للدعم أو "R" للمقاومة، تليها مجموعة من الأرقام والقيم التي يمكن تفعيلها أو تعطيلها حسب إعدادات المستخدم. إليك تفصيل كل عنصر:
1- عدد اللمسات (Touch Count)
الرمز: يظهر مباشرة بعد "S" أو "R" (مثال: "R: 5" أو "S: 3").
المعنى: يشير إلى عدد المرات التي اختبر فيها السعر هذا المستوى دون اختراقه.
الفائدة: كلما زاد عدد اللمسات، كلما كان المستوى أقوى وأكثر أهمية. على سبيل المثال، إذا كان "R: 5"، فهذا يعني أن السعر ارتد من هذا المستوى 5 مرات، مما يجعله مقاومة قوية محتملة.
2- قوة المستوى (Strength Rating)
الرمز: يظهر بين قوسين مربعين (مثال: " ").
المعنى: قيمة من 0 إلى 100 تعكس قوة المستوى بناءً على عوامل مثل حجم التداول، عدد اللمسات، وقرب السعر الحالي من المستوى.
الفائدة: القيم العالية (مثل 75 أو أكثر) تشير إلى مستوى قوي يصعب اختراقه، بينما القيم المنخفضة (مثل 30 أو أقل) تدل على ضعف المستوى وسهولة اختراقه. يمكن للمتداول استخدام هذا لتحديد المستويات الأكثر موثوقية.
3- احتمالية الاختراق (Breakout Probability)
الرمز: يبدأ بحرف "B" متبوعًا بنسبة مئوية (مثال: "B: 60%").
المعنى: نسبة من 0% إلى 100% تُظهر احتمالية اختراق السعر للمستوى بناءً على الزخم الحالي، قوة المستوى، والمسافة بين السعر والمستوى.
الفائدة: نسبة مرتفعة (مثل 60% أو أكثر) تعني أن السعر قد يخترق المستوى قريبًا، بينما النسب المنخفضة (مثل 20%) تشير إلى احتمال ارتداد السعر. هذا مفيد لتوقع الحركة التالية.
4- قيمة السيولة (Liquidity Value)
الرمز: يبدأ بحرف "L" متبوعًا برقم (مثال: "L: 1200").
المعنى: يمثل متوسط حجم التداول في النطاق القريب من المستوى، مما يعكس السيولة التاريخية حوله.
الفائدة: القيم العالية تدل على وجود سيولة كبيرة، مما يعني أن السعر قد يتفاعل بقوة مع هذا المستوى (إما بالارتداد أو الاختراق). القيم المنخفضة تشير إلى سيولة ضعيفة، مما قد يجعل المستوى أقل تأثيرًا.
5- الأهداف السعرية (Price Targets)
الرمز: يبدأ بـ "BT" (هدف الاختراق) و"RT" (هدف الارتداد) متبوعين بأرقام (مثال: "BT: 150.50 RT: 148.20").
المعنى:
BT (Breakout Target): السعر المحتمل الذي قد يصل إليه السعر بعد اختراق المستوى.
RT (Reversal Target): السعر المحتمل الذي قد يصل إليه السعر إذا ارتد من المستوى.
الفائدة: تساعد المتداولين في تحديد نقاط الخروج المحتملة بعد الاختراق أو الارتداد، مما يسهل وضع خطة تداول دقيقة.
أمثلة عملية
تسمية مقاومة: "R: 4 B: 25% L: 1500 BT: 155.00 RT: 152.00"
المستوى اختُبر 4 مرات، قوته 80 (قوي جدًا)، احتمالية الاختراق 25% (منخفضة، أي احتمال ارتداد أعلى)، السيولة 1500 (مرتفعة)، هدف الاختراق 155.00، هدف الارتداد 152.00.
الاستنتاج: المستوى قوي ومن المرجح أن يرتد السعر منه، لكن إذا اخترق، فقد يصل إلى 155.00.
تسمية دعم: "S: 2 B: 70% L: 800 BT: 145.00 RT: 147.50"
المستوى اختُبر مرتين، قوته 40 (متوسطة إلى ضعيفة)، احتمالية الاختراق 70% (مرتفعة)، السيولة 800 (متوسطة)، هدف الاختراق 145.00، هدف الارتداد 147.50.
الاستنتاج: المستوى ضعيف ومن المحتمل أن يخترقه السعر ليهبط إلى 145.00.
كيفية الاستفادة من التسميات
تحديد القوة والضعف: استخدم قوة المستوى (Strength) لمعرفة ما إذا كان المستوى موثوقًا للارتداد أو عرضة للاختراق.
توقع الحركة: انظر إلى احتمالية الاختراق (Breakout Probability) لتحديد ما إذا كنت ستنتظر اختراقًا أو ترتدًا.
إدارة المخاطر: استخدم الأهداف السعرية (BT وRT) لتحديد نقاط جني الأرباح أو وقف الخسارة.
تقييم السيولة: ركز على المستويات ذات السيولة العالية لأنها غالبًا تكون نقاط تحول رئيسية في السوق.
تأكيد التحليل: ادمج عدد اللمسات مع القوة والسيولة للحصول على صورة كاملة عن أهمية المستوى.
تخصيص التسميات
يمكن للمستخدم تفعيل أو تعطيل أي من هذه القيم (القوة، الاحتمالية، السيولة، الأهداف) من إعدادات المؤشر.
يمكن أيضًا تغيير حجم التسميات (صغير، عادي، كبير)، موقعها (يمين، يسار، أعلى، أسفل)، ولون النص لتناسب احتياجاتك.
التسميات في هذا المؤشر هي بمثابة لوحة تحكم صغيرة بجانب كل مستوى دعم ومقاومة، تقدم لك معلومات فورية عن قوته، احتمالية اختراقه، سيولته، وأهدافه السعرية. بفهم هذه الأرقام، يمكنك تحسين قراراتك في التداول، سواء كنت تبحث عن نقاط دخول، خروج، أو إدارة مخاطر. إذا كنت تريد أداة تجمع بين البساطة والعمق التحليلي .
تنويه:
المؤشر هو أداة مساعدة فقط ويجب استخدامه مع التحليل الفني والأساسي لتحقيق أفضل النتائج.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
The Smart Volume S/R Pro indicator is an advanced technical analysis tool designed to help traders identify strong support and resistance levels based on trading volume, with the addition of advanced analytical features such as trend filtering, confidence zones, strength assessment, breakout probability calculation, liquidity measurement, price target identification, and Fibonacci levels. It also provides labels next to each support and resistance level, containing accurate numbers and information that reflect the market condition. These labels are not just decorations, but analytical tools that help traders make informed decisions based on market data. This indicator aims to provide a comprehensive view of the market.
Main functions of the indicator
1- Identifying support and resistance levels based on high trading volume
The indicator analyzes previous bars (up to 300 bars by default) to identify the points that witnessed the highest levels of trading volume.
It draws horizontal lines representing resistance levels (at the highest price in those bars) and support (at the lowest price), and the user can choose the number of lines displayed (from 1 to 6).
2- Filtering the trend using the ADX indicator
The indicator uses the Average Directional Index (ADX) to assess the strength of a trend in the market.
When the strength of the trend is high (exceeding a specified threshold, 25 by default), the indicator reduces the number of support and resistance levels displayed to focus only on the most important levels.
3- Dynamic Confidence Zones
The indicator adds zones around support and resistance levels based on the Average True Range (ATR), helping traders visualize the ranges in which the price may interact with these levels.
The width of these zones can be adjusted using the ATR multiplier.
4- Assessing the Strength of Levels
The indicator calculates the strength of each level based on trading volume, the number of times the level has been tested (Touch Count), and the proximity of the current price to the level.
A strength score (from 0 to 100) is displayed next to each level if this feature is enabled.
5- Breakout Probability
The indicator estimates the probability of breaking each level based on momentum (ROC), the strength of the level, and the distance between the current price and the level.
The probability is displayed as a percentage if the option is enabled, helping traders anticipate potential moves.
6- Historical Liquidity Analysis
The indicator measures liquidity around each level based on the trading volume in the ranges near it.
The liquidity values can be displayed in the labels or used to adjust the width of the lines (the most liquid lines appear wider).
7- Price Targets
When this feature is enabled, the indicator calculates price targets for breakout and reversal based on momentum, level strength and ATR.
These targets can be displayed as text in the labels or as horizontal lines on the chart.
8- Fibonacci Levels
The indicator plots Fibonacci levels (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) based on the highest and lowest price in the lookback period.
The user can choose which of these levels to display or hide.
9- Comprehensive Breakout Alert
The indicator provides a single alert that includes all levels, where the alert is triggered when the price breaks any support or resistance level with a message explaining the type of breakout and the level broken.
How the indicator works
Step 1: The indicator identifies the bars with high volume during the specified Lookback Period.
Step 2: Draws support and resistance levels based on the highest and lowest prices in those bars, taking into account the number of lines selected by the user.
Step 3: Apply the trend filter (if enabled) to reduce the number of levels in case of a strong trend.
Step 4: Adds additional analyses such as strength, liquidity, breakout probability, and price targets, and draws confidence zones and Fibonacci levels according to the settings.
Step 5: Monitors the price and triggers an alert when the breakout occurs.
Customizable Settings
1- Lookback Period: Number of bars to analyze (default 300).
2- Number of Lines: From 1 to 6 support and resistance levels.
3- Colors and Styles: Line colors and styles can be changed (filled, dashed, dotted).
4- Labels: Enable/disable labels, their size, location, and text color.
5- Trend Filter: Enable/disable ADX, and modify its length and threshold.
6- Confidence Zones: Enable/disable, and modify the ATR length and multiplier.
7- Strength and Breakout Probability: Enable/disable the display, and modify the ROC length.
8- Liquidity: Enable/disable the effect of liquidity on the display of the lines and their values in the labels.
9- Price Targets: Enable/disable the targets and display them as lines.
10- Fibonacci: Choose the displayed levels and the color of the lines.
Indicator Benefits
High Accuracy: It relies on trading volume to determine the levels, which makes it more reliable than random levels.
Flexibility: It provides extensive customization options that allow traders to adapt it to their strategies.
Comprehensive Analysis: Combines support and resistance, trend, liquidity, and targets in one tool. Ease of Use: Labels and alerts make it easy to follow the market without complexity.
Labels next to each support and resistance level contain accurate numbers and information that reflect the market situation. These labels are not just decorations, but analytical tools that help traders make informed decisions based on market data. In this explanation, we will review each number or value that appears in the labels and their practical meaning.
Label Components
Labels appear next to each support and resistance level and begin with the letter "S" for support or "R" for resistance, followed by a set of numbers and values that can be enabled or disabled according to the user's settings. Here is a breakdown of each element:
1- Touch Count
Symbol: Appears immediately after "S" or "R" (example: "R: 5" or "S: 3").
Meaning: Indicates the number of times the price has tested this level without breaking it.
Benefit: The more touches, the stronger and more important the level. For example, if it is "R: 5", it means that the price has bounced off this level 5 times, making it a potentially strong resistance.
2- Strength Rating
Symbol: Appears between square brackets (example: " ").
Meaning: A value from 0 to 100 that reflects the strength of the level based on factors such as trading volume, number of touches, and proximity of the current price to the level.
Benefit: High values (such as 75 or more) indicate a strong level that is difficult to break, while low values (such as 30 or less) indicate a weak level that is easy to break. A trader can use this to determine the most reliable levels.
3- Breakout Probability
Symbol: Starts with the letter "B" followed by a percentage (example: "B: 60%").
Meaning: A percentage from 0% to 100% that shows the probability of the price breaking the level based on the current momentum, the strength of the level, and the distance between the price and the level.
Interest: A high percentage (such as 60% or more) means that the price may soon break through the level, while low percentages (such as 20%) indicate that the price may bounce. This is useful for anticipating the next move.
4- Liquidity Value
Symbol: Starts with the letter "L" followed by a number (example: "L: 1200").
Meaning: Represents the average trading volume in the range near the level, reflecting historical liquidity around it.
Interest: High values indicate high liquidity, meaning that the price may react strongly to this level (either by bouncing or breaking through). Low values indicate low liquidity, which may make the level less influential.
5- Price Targets
Symbol: Starts with "BT" (breakout target) and "RT" (rebound target) followed by numbers (example: "BT: 150.50 RT: 148.20").
Meaning:
BT (Breakout Target): The potential price that the price may reach after breaking the level.
RT (Reversal Target): The potential price that the price may reach if it rebounds from the level.
Utility: Helps traders identify potential exit points after a breakout or rebound, making it easier to develop an accurate trading plan.
Working examples
Resistance label: "R: 4 B: 25% L: 1500 BT: 155.00 RT: 152.00"
Level tested 4 times, strength 80 (very strong), probability of breakout 25% (low, i.e. higher probability of rebound), liquidity 1500 (high), breakout target 155.00, rebound target 152.00.
Conclusion: The level is strong and the price is likely to rebound from it, but if it breaks, it may reach 155.00.
Support Label: "S: 2 B: 70% L: 800 BT: 145.00 RT: 147.50"
Level tested twice, Strength 40 (medium to weak), Breakout Probability 70% (high), Liquidity 800 (medium), Breakout Target 145.00, Rebound Target 147.50.
Conclusion: The level is weak and the price is likely to break it to drop to 145.00.
How to use labels
Determine strength and weakness: Use the level's strength to see if the level is reliable for a bounce or vulnerable to a breakout.
Predict the move: Look at the Breakout Probability to determine whether to wait for a breakout or a bounce.
Risk Management: Use price targets (BT and RT) to set take profit or stop loss points.
Liquidity Evaluation: Focus on levels with high liquidity as they are often key turning points in the market.
Analysis Confirmation: Combine the number of touches with strength and liquidity to get a complete picture of the level’s importance.
Customize Labels
The user can enable or disable any of these values (strength, probability, liquidity, targets) from the indicator settings.
The size of the labels (small, normal, large), their position (right, left, top, bottom), and the color of the text can also be changed to suit your needs.
The labels in this indicator act as a small dashboard next to each support and resistance level, providing you with instant information about its strength, probability of breakout, liquidity, and price targets. By understanding these numbers, you can improve your trading decisions, whether you are looking for entry points, exit points, or risk management. If you want a tool that combines simplicity with analytical depth.
Disclaimer:
The indicator is an auxiliary tool only and should be used in conjunction with technical and fundamental analysis for best results.
Disclaimer
The information and posts are not intended to be, or constitute, any financial, investment, trading or other types of advice or recommendations provided or endorsed by TradingView.
True Strength Index with Zones & AlertsKey Features:
True Strength Index (TSI) Calculation
Uses double-smoothed exponential moving averages (EMA) to calculate TSI.
A signal line (EMA of TSI) helps confirm trends.
Dynamic Color Coding for TSI Line
Green: TSI is above the signal line (Bullish).
Red: TSI is below the signal line (Bearish).
Crossover & Crossunder Signals
Bullish Crossover (TSI crosses above Signal Line) → Green Circle.
Bearish Crossunder (TSI crosses below Signal Line) → Red Circle.
Alerts for Trading Signals
Buy Alert: TSI crosses above the signal line.
Sell Alert: TSI crosses below the signal line.
Overbought & Oversold Zones
Overbought: Between 40 and 50 (Red Zone).
Oversold: Between -40 and -50 (Green Zone).
Highlighted Background when TSI enters these zones.
Neutral Line at 0
Helps determine trend direction and momentum shifts.
How to Use These Values:
• TSI Crosses Above Signal Line → Bullish entry.
• TSI Crosses Below Signal Line → Bearish entry.
• Overbought (+40 to +50) & Oversold (-40 to -50) zones → Watch for trend reversals.
• Divergence Signals → If price makes a new high/low but TSI doesn’t, momentum is weakening.
[COG] Adaptive Squeeze Intensity 📊 Adaptive Squeeze Intensity (ASI) Indicator
🎯 Overview
The Adaptive Squeeze Intensity (ASI) indicator is an advanced technical analysis tool that combines the power of volatility compression analysis with momentum, volume, and trend confirmation to identify high-probability trading opportunities. It quantifies the degree of price compression using a sophisticated scoring system and provides clear entry signals for both long and short positions.
⭐ Key Features
- 📈 Comprehensive squeeze intensity scoring system (0-100)
- 📏 Multiple Keltner Channel compression zones
- 📊 Volume analysis integration
- 🎯 EMA-based trend confirmation
- 🎨 Proximity-based entry validation
- 📱 Visual status monitoring
- 🎨 Customizable color schemes
- ⚡ Clear entry signals with directional indicators
🔧 Components
1. 📐 Squeeze Intensity Score (0-100)
The indicator calculates a total squeeze intensity score based on four components:
- 📊 Band Convergence (0-40 points): Measures the relationship between Bollinger Bands and Keltner Channels
- 📍 Price Position (0-20 points): Evaluates price location relative to the base channels
- 📈 Volume Intensity (0-20 points): Analyzes volume patterns and thresholds
- ⚡ Momentum (0-20 points): Assesses price momentum and direction
2. 🎨 Compression Zones
Visual representation of squeeze intensity levels:
- 🔴 Extreme Squeeze (80-100): Red zone
- 🟠 Strong Squeeze (60-80): Orange zone
- 🟡 Moderate Squeeze (40-60): Yellow zone
- 🟢 Light Squeeze (20-40): Green zone
- ⚪ No Squeeze (0-20): Base zone
3. 🎯 Entry Signals
The indicator generates entry signals based on:
- ✨ Squeeze release confirmation
- ➡️ Momentum direction
- 📊 Candlestick pattern confirmation
- 📈 Optional EMA trend alignment
- 🎯 Customizable EMA proximity validation
⚙️ Settings
🔧 Main Settings
- Base Length: Determines the calculation period for main indicators
- BB Multiplier: Sets the Bollinger Bands deviation multiplier
- Keltner Channel Multipliers: Three separate multipliers for different compression zones
📈 Trend Confirmation
- Four customizable EMA periods (default: 21, 34, 55, 89)
- Optional trend requirement for entry signals
- Adjustable EMA proximity threshold
📊 Volume Analysis
- Customizable volume MA length
- Adjustable volume threshold for signal confirmation
- Option to enable/disable volume analysis
🎨 Visualization
- Customizable bullish/bearish colors
- Optional intensity zones display
- Status monitor with real-time score and state information
- Clear entry arrows and background highlights
💻 Technical Code Breakdown
1. Core Calculations
// Base calculations for EMAs
ema_1 = ta.ema(close, ema_length_1)
ema_2 = ta.ema(close, ema_length_2)
ema_3 = ta.ema(close, ema_length_3)
ema_4 = ta.ema(close, ema_length_4)
// Proximity calculation for entry validation
ema_prox_raw = math.abs(close - ema_1) / ema_1 * 100
is_close_to_ema_long = close > ema_1 and ema_prox_raw <= prox_percent
```
### 2. Squeeze Detection System
```pine
// Bollinger Bands setup
BB_basis = ta.sma(close, length)
BB_dev = ta.stdev(close, length)
BB_upper = BB_basis + BB_mult * BB_dev
BB_lower = BB_basis - BB_mult * BB_dev
// Keltner Channels setup
KC_basis = ta.sma(close, length)
KC_range = ta.sma(ta.tr, length)
KC_upper_high = KC_basis + KC_range * KC_mult_high
KC_lower_high = KC_basis - KC_range * KC_mult_high
```
### 3. Scoring System Implementation
```pine
// Band Convergence Score
band_ratio = BB_width / KC_width
convergence_score = math.max(0, 40 * (1 - band_ratio))
// Price Position Score
price_range = math.abs(close - KC_basis) / (KC_upper_low - KC_lower_low)
position_score = 20 * (1 - price_range)
// Final Score Calculation
squeeze_score = convergence_score + position_score + vol_score + mom_score
```
### 4. Signal Generation
```pine
// Entry Signal Logic
long_signal = squeeze_release and
is_momentum_positive and
(not use_ema_trend or (bullish_trend and is_close_to_ema_long)) and
is_bullish_candle
short_signal = squeeze_release and
is_momentum_negative and
(not use_ema_trend or (bearish_trend and is_close_to_ema_short)) and
is_bearish_candle
```
📈 Trading Signals
🚀 Long Entry Conditions
- Squeeze release detected
- Positive momentum
- Bullish candlestick
- Price above relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
🔻 Short Entry Conditions
- Squeeze release detected
- Negative momentum
- Bearish candlestick
- Price below relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
⚠️ Alert Conditions
- 🔔 Extreme squeeze level reached (score crosses above 80)
- 🚀 Long squeeze release signal
- 🔻 Short squeeze release signal
💡 Tips for Usage
1. 📱 Use the status monitor to track real-time squeeze intensity and state
2. 🎨 Pay attention to the color gradient for trend direction and strength
3. ⏰ Consider using multiple timeframes for confirmation
4. ⚙️ Adjust EMA and proximity settings based on your trading style
5. 📊 Use volume analysis for additional confirmation in liquid markets
📝 Notes
- 🔧 The indicator combines multiple technical analysis concepts for robust signal generation
- 📈 Suitable for all tradable markets and timeframes
- ⭐ Best results typically achieved in trending markets with clear volatility cycles
- 🎯 Consider using in conjunction with other technical analysis tools for confirmation
⚠️ Disclaimer
This technical indicator is designed to assist in analysis but should not be considered as financial advice. Always perform your own analysis and risk management when trading.
Dynamic Sentiment RSI [UAlgo]The Dynamic Sentiment RSI is a technical analysis tool that combines the classic RSI (Relative Strength Index) concept with dynamic sentiment analysis, offering traders enhanced insights into market conditions. Unlike the traditional RSI, this indicator integrates volume weighting, sentiment factors, and smoothing features to provide a more nuanced view of momentum and potential market reversals. It is designed to assist traders in detecting overbought/oversold conditions, momentum shifts, and to generate potential buy or sell signals using crossover and crossunder techniques. By dynamically adjusting based on sentiment and volume factors, this RSI offers better adaptability to varying market conditions, making it suitable for different trading styles and timeframes.
This tool is particularly helpful for traders who wish to explore not only price movement but also the underlying market sentiment, offering a more comprehensive approach to momentum analysis. The sentiment factor amplifies the RSI's sensitivity to price shifts, making it easier to detect early signals of market reversals or the continuation of a trend.
🔶 Key Features
Dynamic Sentiment Calculation: The indicator incorporates a "Sentiment Factor" that adjusts the RSI length dynamically based on a multiplier, helping traders better understand market sentiment at different time intervals.
Volume Weighting: When enabled, the RSI calculations are weighted by volume, allowing traders to give more importance to price movements with higher trading volume, which may provide more accurate signals.
Smoothing Feature: A customizable smoothing period is applied to the RSI to help filter out noise and make the signal smoother. This feature is particularly useful for traders who prefer to focus on long-term trends while minimizing false signals.
Step Size Customization: A "Step Size" input allows users to round the sentiment RSI to predefined intervals, making the results easier to interpret and act upon. This feature allows you to focus on significant sentiment changes and ignore minor fluctuations.
Crossover/Crossunder Alerts: The indicator includes crossover and crossunder signals on the zero-line, helping traders identify potential buy and sell opportunities as the smoothed RSI crosses these levels.
The indicator offers a clear visual display with multiple color-coded lines and areas:
Sentiment RSI: Plotted as an area chart, color-coded based on sentiment strength.
Raw RSI: A purple line representing the raw adjusted RSI.
Smoothed RSI: A dynamic line, color-coded aqua or orange based on its position relative to the zero line.
Buy/Sell Signals: Triangle shapes are plotted at crossovers and crossunders, providing clear entry and exit points.
🔶 Interpreting the Indicator
Sentiment RSI
-This line represents the sentiment-adjusted RSI, where the higher the value, the stronger the bullish sentiment, and the lower the value, the stronger the bearish sentiment. It is rounded to step intervals, making it easier to detect significant shifts in sentiment.
- A positive sentiment RSI (above 0) suggests bullish market conditions, while a negative sentiment RSI (below 0) suggests bearish conditions.
Smoothed RSI
The smoothed RSI helps reduce noise and shows the trend more clearly.
Crossovers of the zero line are significant:
- Crossover above zero: Indicates that bullish momentum is building, potentially signaling a buying opportunity.
- Crossunder below zero: Signals a shift towards bearish momentum, potentially indicating a sell signal.
Traders should look for these crossovers in conjunction with other signals for more accurate entry/exit points.
Raw RSI (Adjusted)
The raw adjusted RSI offers a less smoothed, more responsive version of the RSI. While it may be noisier, it provides early signals of market reversals and trends.
Crossover/Crossunder Signals
- When the smoothed RSI crosses above the zero line, a "Signal Up" triangle appears, indicating a potential buying opportunity.
- When the smoothed RSI crosses below the zero line, a "Signal Down" triangle appears, signaling a potential sell opportunity.
These signals help traders time their entries and exits by identifying momentum shifts.
Volume Weighting (Optional)
- If volume weighting is enabled, the RSI will give more weight to periods of higher trading volume, making the signals more reliable when the market is highly active.
Strong Up/Down Levels (40/-40)
- These dotted lines represent extreme sentiment levels. When the sentiment RSI reaches 40 or -40, the market may be nearing an overbought or oversold condition, respectively. This could be a signal for traders to prepare for potential reversals or shifts in momentum.
By combining the various components of this indicator, traders can gain a comprehensive view of market sentiment and price action, helping them make more informed trading decisions. The combination of sentiment factors, volume weighting, and smoothing makes this indicator highly flexible and suitable for a variety of trading strategies.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
RSI with Swing Trade by Kelvin_VAlgorithm Description: "RSI with Swing Trade by Kelvin_V"
1. Introduction:
This algorithm uses the RSI (Relative Strength Index) and optional Moving Averages (MA) to detect potential uptrends and downtrends in the market. The key feature of this script is that it visually changes the candle colors based on the market conditions, making it easier for users to identify potential trend swings or wave patterns.
The strategy offers flexibility by allowing users to enable or disable the MA condition. When the MA condition is enabled, the strategy will confirm trends using two moving averages. When disabled, the strategy will only use RSI to detect potential market swings.
2. Key Features of the Algorithm:
RSI (Relative Strength Index):
The RSI is used to identify potential market turning points based on overbought and oversold conditions.
When the RSI exceeds a predefined upper threshold (e.g., 60), it suggests a potential uptrend.
When the RSI drops below a lower threshold (e.g., 40), it suggests a potential downtrend.
Moving Averages (MA) - Optional:
Two Moving Averages (Short MA and Long MA) are used to confirm trends.
If the Short MA crosses above the Long MA, it indicates an uptrend.
If the Short MA crosses below the Long MA, it indicates a downtrend.
Users have the option to enable or disable this MA condition.
Visual Candle Coloring:
Green candles represent a potential uptrend, indicating a bullish move based on RSI (and MA if enabled).
Red candles represent a potential downtrend, indicating a bearish move based on RSI (and MA if enabled).
3. How the Algorithm Works:
RSI Levels:
The user can set RSI upper and lower bands to represent potential overbought and oversold levels. For example:
RSI > 60: Indicates a potential uptrend (bullish move).
RSI < 40: Indicates a potential downtrend (bearish move).
Optional MA Condition:
The algorithm also allows the user to apply the MA condition to further confirm the trend:
Short MA > Long MA: Confirms an uptrend, reinforcing a bullish signal.
Short MA < Long MA: Confirms a downtrend, reinforcing a bearish signal.
This condition can be disabled, allowing the user to focus solely on RSI signals if desired.
Swing Trade Logic:
Uptrend: If the RSI exceeds the upper threshold (e.g., 60) and (optionally) the Short MA is above the Long MA, the candles will turn green to signal a potential uptrend.
Downtrend: If the RSI falls below the lower threshold (e.g., 40) and (optionally) the Short MA is below the Long MA, the candles will turn red to signal a potential downtrend.
Visual Representation:
The candle colors change dynamically based on the RSI values and moving average conditions, making it easier for traders to visually identify potential trend swings or wave patterns without relying on complex chart analysis.
4. User Customization:
The algorithm provides multiple customization options:
RSI Length: Users can adjust the period for RSI calculation (default is 4).
RSI Upper Band (Potential Uptrend): Users can customize the upper RSI level (default is 60) to indicate a potential bullish move.
RSI Lower Band (Potential Downtrend): Users can customize the lower RSI level (default is 40) to indicate a potential bearish move.
MA Type: Users can choose between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for moving average calculations.
Enable/Disable MA Condition: Users can toggle the MA condition on or off, depending on whether they want to add moving averages to the trend confirmation process.
5. Benefits of the Algorithm:
Easy Identification of Trends: By changing candle colors based on RSI and MA conditions, the algorithm makes it easy for users to visually detect potential trend reversals and trend swings.
Flexible Conditions: The user has full control over the RSI and MA settings, allowing them to adapt the strategy to different market conditions and timeframes.
Clear Visualization: With the candle color changes, users can quickly recognize when a potential uptrend or downtrend is forming, enabling faster decision-making in their trading.
6. Example Usage:
Day traders: Can apply this strategy on short timeframes such as 5 minutes or 15 minutes to detect quick trends or reversals.
Swing traders: Can use this strategy on longer timeframes like 1 hour or 4 hours to identify and follow larger market swings.
Breadth Indicators NYSE Percent Above Moving AverageBreadth Indicators NYSE - transmits the processed data from the Barchart provider
NYSE - Breadth Indicators
S&P 500 - Breadth Indicators
DOW - Breadth Indicators
RUSSEL 1000 - Breadth Indicators
RUSSEL 2000 - Breadth Indicators
RUSSEL 3000 - Breadth Indicators
Moving Average - 5, 20, 50, 100, 150, 200
The "Percentage above 50-day SMA" indicator measures the percentage of stocks in the index trading above their 50-day moving average. It is a useful tool for assessing the general state of the market and identifying overbought and oversold conditions.
One way to use the "Percentage above 50-day SMA" indicator in a trading strategy is to combine it with a long-term moving average to determine whether the trend is bullish or bearish. Another way to use it is to combine it with a short-term moving average to identify pullbacks and rebounds within the overall trend.
The purpose of using the "Percentage above 50-day SMA" indicator is to participate in a larger trend with a better risk-reward ratio. By using this indicator to identify pullbacks and bounces, you can reduce the risk of entering trades at the wrong time.
Bull Signal Recap:
150-day EMA of $SPXA50R crosses above 52.5 and remains above 47.50 to set the bullish tone.
5-day EMA of $SPXA50R moves below 40 to signal a pullback
5-day EMA of $SPXA50R moves above 50 to signal an upturn
Bear Signal Recap:
150-day EMA of $SPXA50R crosses below 47.50 and remains below 52.50 to set the bearish tone.
5-day EMA of $SPXA50R moves above 60 to signal a bounce
5-day EMA of $SPXA50R moves below 50 to signal a downturn
Tweaking
There are numerous ways to tweak a trading system, but chartists should avoid over-optimizing the indicator settings. In other words, don't attempt to find the perfect moving average period or crossover level. Perfection is unattainable when developing a system or trading the markets. It is important to keep the system logical and focus tweaks on other aspects, such as the actual price chart of the underlying security.
What do levels above and below 50% signify in the long-term moving average?
A move above 52.5% is deemed bullish, and below 47.5% is deemed bearish. These levels help to reduce whipsaws by using buffers for bullish and bearish thresholds.
How does the short-term moving average work to identify pullbacks or bounces?
When using a 5-day EMA, a move below 40 signals a pullback, and a move above 60 signals a bounce.
How is the reversal of pullback or bounce identified?
A move back above 50 after a pullback or below 50 after a bounce signals that the respective trend may be resuming.
How can you ensure that the uptrend has resumed?
It’s important to wait for the surge above 50 to ensure the uptrend has resumed, signaling improved breadth.
Can the system be tweaked to optimize indicator settings?
While there are various ways to tweak the system, seeking perfection through over-optimizing settings is advised against. It's crucial to keep the system logical and focus tweaks on the price chart of the underlying security.
RUSSIAN \ Русская версия.
Индикатор "Процент выше 50-дневной скользящей средней" измеряет процент акций, торгующихся в индексе выше их 50-дневной скользящей средней. Это полезный инструмент для оценки общего состояния рынка и выявления условий перекупленности и перепроданности.
Один из способов использования индикатора "Процент выше 50-дневной скользящей средней" в торговой стратегии - это объединить его с долгосрочной скользящей средней, чтобы определить, является ли тренд бычьим или медвежьим. Другой способ использовать его - объединить с краткосрочной скользящей средней, чтобы выявить откаты и отскоки в рамках общего тренда.
Цель использования индикатора "Процент выше 50-дневной скользящей средней" - участвовать в более широком тренде с лучшим соотношением риска и прибыли. Используя этот индикатор для выявления откатов и отскоков, вы можете снизить риск входа в сделки в неподходящее время.
Краткое описание бычьего сигнала:
150-дневная ЕМА на уровне $SPXA50R пересекает отметку 52,5 и остается выше 47,50, что задает бычий настрой.
5-дневная ЕМА на уровне $SPXA50R опускается ниже 40, сигнализируя об откате
5-дневная ЕМА на уровне $SPXA50R поднимается выше 50, сигнализируя о росте
Обзор медвежьих сигналов:
150-дневная ЕМА на уровне $SPXA50R пересекает уровень ниже 47,50 и остается ниже 52,50, что указывает на медвежий настрой.
5-дневная ЕМА на уровне $SPXA50R поднимается выше 60, сигнализируя о отскоке
5-дневная ЕМА на уровне $SPXA50 опускается ниже 50, что сигнализирует о спаде
Корректировка
Существует множество способов настроить торговую систему, но графологам следует избегать чрезмерной оптимизации настроек индикатора. Другими словами, не пытайтесь найти идеальный период скользящей средней или уровень пересечения. Совершенство недостижимо при разработке системы или торговле на рынках. Важно поддерживать логику системы и уделять особое внимание другим аспектам, таким как график фактической цены базовой ценной бумаги.
Что означают уровни выше и ниже 50% в долгосрочной скользящей средней?
Движение выше 52,5% считается бычьим, а ниже 47,5% - медвежьим. Эти уровни помогают снизить риски, используя буферы для бычьих и медвежьих порогов.
Как краткосрочная скользящая средняя помогает идентифицировать откаты или отскоки?
При использовании 5-дневной ЕМА движение ниже 40 указывает на откат, а движение выше 60 указывает на отскок.
Как определяется разворот отката или отскока?
Движение выше 50 после отката или ниже 50 после отскока сигнализирует о возможном возобновлении соответствующего тренда.
Как вы можете гарантировать, что восходящий тренд возобновился?
Важно дождаться скачка выше 50, чтобы убедиться в возобновлении восходящего тренда, сигнализирующего о расширении диапазона.
Можно ли настроить систему для оптимизации настроек индикатора?
Хотя существуют различные способы настройки системы, не рекомендуется стремиться к совершенству с помощью чрезмерной оптимизации настроек. Крайне важно сохранить логичность системы и сфокусировать изменения на ценовом графике базовой ценной бумаги.
RSI Multiple TimeFrame, Version 1.0RSI Multiple TimeFrame, Version 1.0
Overview
The RSI Multiple TimeFrame script is designed to enhance trading decisions by providing a comprehensive view of the Relative Strength Index (RSI) across multiple timeframes. This tool helps traders identify overbought and oversold conditions more accurately by analyzing RSI values on different intervals simultaneously. This is particularly useful for traders who employ multi-timeframe analysis to confirm signals and make more informed trading decisions.
Unique Feature of the new script (described in detail below)
Multi-Timeframe RSI Analysis
Customizable Timeframes
Visual Signal Indicators (dots)
Overbought and Oversold Layers with gradual Background Fill
Enhanced Trend Confirmation
Originality and Usefulness
This script combines the RSI indicator across three distinct timeframes into a single view, providing traders with a multi-dimensional perspective of market momentum. It also provides associated signals to better time dips and peaks. Unlike standard RSI indicators that focus on a single timeframe, this script allows users to observe RSI trends across short, medium, and long-term intervals, thereby improving the accuracy of entry and exit signals. This is particularly valuable for traders looking to align their short-term strategies with longer-term market trends.
Signal Description
The script also includes a unique signal feature that plots green and red dots on the chart to highlight potential buy and sell opportunities:
Green Dots : These appear when all three RSI values are under specific thresholds (RSI of the shortest timeframe < 30, the medium timeframe < 40, and the longest timeframe < 50) and the RSI of the shortest timeframe is showing an upward trend (current value is greater than the previous value, and the value two periods ago is greater than the previous value). This indicates a potential buying opportunity as the market may be shifting from an oversold condition.
Red Dots : These appear when all three RSI values are above specific thresholds (RSI of the shortest timeframe > 70, the medium timeframe > 60, and the longest timeframe > 50) and the RSI of the shortest timeframe is showing a downward trend (current value is less than the previous value, and the value two periods ago is less than the previous value). This indicates a potential selling opportunity as the market may be shifting from an overbought condition.
These signals help traders identify high-probability turning points in the market by ensuring that momentum is aligned across multiple timeframes.
Detailed Description
Input Variables
RSI Period (`len`) : The number of periods to calculate the RSI. Default is 14.
RSI Source (`src`) : The price source for RSI calculation, defaulting to the average of the high and low prices (`hl2`).
Timeframes (`tf1`, `tf2`, `tf3`) : The different timeframes for which the RSI is calculated, defaulting to 5 minutes, 1 hour, and 8 hours respectively.
Functionality
RSI Calculations : The script calculates the RSI for each of the three specified timeframes using the `request.security` function. This allows the RSI to be plotted for multiple intervals, providing a layered view of market momentum.
```pine
rsi_tf1 = request.security(syminfo.tickerid, tf1, ta.rsi(src, len))
rsi_tf2 = request.security(syminfo.tickerid, tf2, ta.rsi(src, len))
rsi_tf3 = request.security(syminfo.tickerid, tf3, ta.rsi(src, len))
```
Plotting : The RSI values for the three timeframes are plotted with different colors and line widths for clear visual distinction. This makes it easy to compare RSI values across different intervals.
```pine
p1 = plot(rsi_tf1, title="RSI 5m", color=color.rgb(200, 200, 255), linewidth=2)
p2 = plot(rsi_tf2, title="RSI 1h", color=color.rgb(125, 125, 255), linewidth=2)
p3 = plot(rsi_tf3, title="RSI 8h", color=color.rgb(0, 0, 255), linewidth=2)
```
Overbought and Oversold Levels : Horizontal lines are plotted at standard RSI levels (20, 30, 40, 50, 60, 70, 80) to visually identify overbought and oversold conditions. The areas between these levels are filled with varying shades of blue for better visualization.
```pine
h80 = hline(80, title="RSI threshold 80", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
h70 = hline(70, title="RSI threshold 70", color=color.gray, linestyle=hline.style_dotted, linewidth=1)
...
fill(h70, h80, color=color.rgb(33, 150, 243, 95), title="Background")
```
Signal Plotting : The script adds green and red dots to indicate potential buy and sell signals, respectively. A green dot is plotted when all RSI values are under specific thresholds and the RSI of the shortest timeframe is rising. Conversely, a red dot is plotted when all RSI values are above specific thresholds and the RSI of the shortest timeframe is falling.
```pine
plotshape(series=(rsi_tf1 < 30 and rsi_tf2 < 40 and rsi_tf3 < 50 and (rsi_tf1 > rsi_tf1 ) and (rsi_tf1 > rsi_tf1 )) ? 1 : na, location=location.bottom, color=color.green, style=shape.circle, size=size.tiny)
plotshape(series=(rsi_tf1 > 70 and rsi_tf2 > 60 and rsi_tf3 > 50 and (rsi_tf1 < rsi_tf1 ) and (rsi_tf1 < rsi_tf1 )) ? 1 : na, location=location.top, color=color.red, style=shape.circle, size=size.tiny)
```
How to Use
Configuring Inputs : Adjust the RSI period and source as needed. Modify the timeframes to suit your trading strategy.
Interpreting the Indicator : Use the plotted RSI values to gauge momentum across different timeframes. Look for overbought conditions (RSI above 70, 60 and 50) and oversold conditions (RSI below 30, 40 and 50) across multiple intervals to confirm trade signals.
Signal Confirmation : Pay attention to the green and red dots that provide signals to better time dips and peaks. dots are printed when the lower timeframe (5mn by default) shows sign of reversal.
These signals are more reliable when confirmed across all three timeframes.
This script provides a nuanced view of RSI, helping traders make more informed decisions by considering multiple timeframes simultaneously. By combining short, medium, and long-term RSI values, traders can better align their strategies with overarching market trends, thus improving the precision of their trading actions.
ICT IPDAGuided by ICT tutoring, I create this versatile indicator "IPDA".
This indicator shows a different way of viewing the “IPDA” by calculating from START
(-20 / -40 / -60) to (+20 /+40 /+60) Days, showing the Highs and Lows of the IPDA of the Previous days and both of the subsequent ones, the levels of (-20 / -40 / -60) Days can be taken into consideration as objectives to be achieved in the range of days (+20 /+40 /+60)
The user has the possibility to:
- Choose whether to display IPDAs before and after START
- Choose to show High and Low levels
- Choose to show Prices
The indicator should be used as ICT shows in its concepts.
Example on how to evaluate a possible Start IPDA:
Example for Entry targeting IPDAs :
If something is not clear, comment below and I will reply as soon as possible.
Cloud Bunching [5ema]Reused some functions from (i believe made by):
©paaax: The table position function.
@QuantNomad: The function calculated value and array screener for 40+ instruments .
How it uses:
Gives signal when the cloud is bunching with ratio smaller than the set ratio and the close price breaking out the cloud.
Track 40 different symbols, on any timeframe to follow and alert.
When a symbol has a signal, it will display on the chart and send an alert.
How it works:
The cloud created by 5 EMA (20, 50, 200, 460, 610). Upper Cloud is max EMA , Lower Cloud is min EMA . Center line is averange (5 EMA )
If the ratio upper / lower < input bunching (%) -> change color of cloud.
Get the signal if: the close price break out cloud (with bar is shooting, or hammer ,...) and high volume (or not).
With another symbols (max 40 ) also use that function with any time frame. By request.security() and array function.
How it setting:
Change the bunching rate (%) of the clouds for any symbols.
Change the percentage (%) of the close price that breaks out of the bunching cloud.
Choose volume condition.
Show or turn off the cloud, table.
Select the symbol to follow.
Choose a timeframe to follow other symbols.
----
This indicator is for reference only, you need your own method and strategy.
If you have any questions, please let me know in the comments.
GIRISH indicatorHello traders,
This indicator is the enhancement to my previous indicator (RSI+OBV). There is combined RSI and OBV with DMI. This new indicator is combination of RSI and OBV with VWAP . I have been using this indicator for intraday trades in NIFTY & BANKNIFTY .
The white line indicates the movement of VWAP wrt current price. There default range for this has been defined as -40 to 40 .
Entry for long: When white line goes below -40, we need to wait for green background. Entry has to be taken when green background appears. If price goes below the entry point, averaging can be done once. Price will surely go long and give us good profit.
Entry for short: When white line goes above 40 , we need to wait for red background (if darker red comes, it is better) . Entry has to be taken when red background appears. If price goes above the entry point, averaging can be done once. Price will surely go down and give us good profit on short side.
PS: Please do back testing in chart before taking trades.
[ChasinAlts] A New Beginning[MO]Hello Tradeurs, firstly let me say this… Please do not think that this dump is over (so I want to gift you one of the best gifts I CAN gift you at the PERFECT TIME...which is now) but I believe it to be the final one before a New Beginning is upon us. I hope that anybody that sees this within the next day or so listens to me when I tell you this… Follow the instructions below, IF ANYTHING, just to set the alert to be notify you so you can see why I’m about to tell you everything that I’m about to tell you. That being that this indicator is pure magic…..BUT you must stay in your lane when using it (ie. ultimately, understand its use case) and most importantly, how many people you expose it to. The good thing about it is it produces very few alerts. In fact, it was built SOLELY to find the very tips of MAJOR dumps/pumps (with its current default settings). I honestly cannot remember where I acquired the code so if anyone recognizes it please direct me to the source so I can give a shoutout. In the past it has been so astonishingly accurate that I didn’t want to publish it but I've just been...in the mood I suppose recently.
Now…it is SPECIFICALLY meant for the 1min TF. I’ll say it again… It is meant for ONE MINUTE CHARTS…it was built for 1min charts, it will only work as well as I’m describing to you on the…you guessed it…ONE MINUTE CHART (again, with the default settings how they are, that is). If any of you use it for this present dump (November 8, 2022) and want to thank me for it or speak very highly about it or give it a bunch of likes… DO NOT!!! I will reword this so you fully comprehend my urgency on this matter. I do not want this indicator getting out for every Joe Schmoe (or stupid YouTuber) to use and spread because the manipulators will see to it that it will no longer work. Things that will happen that will cause it to gain the popularity that I do not want it to have are the following:
1) You "like" the indicator in TradingView to show appreciation/that your using it so that it will show up in your indicators list (to get past this you need to select all of the text of the script on the indicator's page and copy and paste it into the “Pine Editor”. Then select "save" and name it as you wish. Now, it is in your indicator list under the name that you saved it as.
2) You *favorite* the indicator in TradingView
3) You leave comments in the comments section on the indicators page in TradingView (I really do love hearing comments about anything regarding my indicators(positive or negative..though I haven't gotten any negative yet SO BRING IT ON), even though I don’t get too many of them, so if you are grateful (or hateful) PLEASE message me privately (and really I truly truly do appreciate getting comments/messages so if it has benefited you make sure to message me as I might have more for those that do express their gratitude) and tell me anything that you want to tell me or ask me anything that you wanna ask me there).
One major thing that will help to suppress its popularity will be that if anybody goes back on historical charts to see its accuracy they most likely will not be able to go far back enough on the 1min TF to be able to Witness its efficacy so I'm banking on that helping to keep a lid on things.
The settings used (as well as the TF used) really should not be changed if using it for its intended purpose. On little dumps that last for a few hours os so will produce points somewhere in the 40 to 60 range at the dumps/pumps peak. Each coin is worth one point and there are 40 coins per set and 2 sets (that you will have to link together) and when the under the hood indicator is triggered for that coin it will add a point to the score. With the settings how they are and on the 1min TF(if I hadn't mentioned it yet. lol) a good point alert threshold to use to catch the apex of heavy pumps/dumps would be between 70 to 80 points(80 is max). Ultimately is the users choice to input the alert threshold of points in the indicators settings(default is 72). If you’re trying to nail the very bottom of a hard pump/dump, DO NOT fall for times where it peaks at 50 to 60. You’re looking for 70 or above.
*** This is the most important thing to do as you will not receive an alert if you do not do this correctly. You have to add the indicator two times to the chart. One of the indicators needs to be under “Coin Set 1“ and the other under “Coin Set 2“. Now, in “Set 1“ you need to go to the setting entitled “Select New Beginning Count Plot from drop-down“ and you need to open the drop-down and select the plot entitled “A New Beginning Count Plot”. This will link both the indicators and since there are 40 coins per iteration of the script, when you link them it could give you a max of 80 points total at the very peak of a very strong dump...which will obviously be rare. You CAN use only one copy of the script (but need to change the alert setting to a MAX of 40) but in my experience it's best to use both of them and to link them. It gives you a more well-rounded outcome. Good luck my people and always remember...Much love...Much Love. May the force be with your trades. -ChasinAlts out.
Time█ OVERVIEW
This library is a Pine Script™ programmer’s tool containing a variety of time related functions to calculate or measure time, or format time into string variables.
█ CONCEPTS
`formattedTime()`, `formattedDate()` and `formattedDay()`
Pine Script™, like many other programming languages, uses timestamps in UNIX format, expressed as the number of milliseconds elapsed since 00:00:00 UTC, 1 January 1970. These three functions convert a UNIX timestamp to a formatted string for human consumption.
These are examples of ways you can call the functions, and the ensuing results:
CODE RESULT
formattedTime(timenow) >>> "00:40:35"
formattedTime(timenow, "short") >>> "12:40 AM"
formattedTime(timenow, "full") >>> "12:40:35 AM UTC"
formattedTime(1000 * 60 * 60 * 3.5, "HH:mm") >>> "03:30"
formattedDate(timenow, "short") >>> "4/30/22"
formattedDate(timenow, "medium") >>> "Apr 30, 2022"
formattedDate(timenow, "full") >>> "Saturday, April 30, 2022"
formattedDay(timenow, "E") >>> "Sat"
formattedDay(timenow, "dd.MM.yy") >>> "30.04.22"
formattedDay(timenow, "yyyy.MM.dd G 'at' hh:mm:ss z") >>> "2022.04.30 AD at 12:40:35 UTC"
These functions use str.format() and some of the special formatting codes it allows for. Pine Script™ documentation does not yet contain complete specifications on these codes, but in the meantime you can find some information in the The Java™ Tutorials and in Java documentation of its MessageFormat class . Note that str.format() implements only a subset of the MessageFormat features in Java.
`secondsSince()`
The introduction of varip variables in Pine Script™ has made it possible to track the time for which a condition is true when a script is executing on a realtime bar. One obvious use case that comes to mind is to enable trades to exit only when the exit condition has been true for a period of time, whether that period is shorter that the chart's timeframe, or spans across multiple realtime bars.
For more information on this function and varip please see our Using `varip` variables publication.
`timeFrom( )`
When plotting lines , boxes , and labels one often needs to calculate an offset for past or future end points relative to the time a condition or point occurs in history. Using xloc.bar_index is often the easiest solution, but some situations require the use of xloc.bar_time . We introduce `timeFrom()` to assist in calculating time-based offsets. The function calculates a timestamp using a negative (into the past) or positive (into the future) offset from the current bar's starting or closing time, or from the current time of day. The offset can be expressed in units of chart timeframe, or in seconds, minutes, hours, days, months or years. This function was ported from our Time Offset Calculation Framework .
`formattedNoOfPeriods()` and `secondsToTfString()`
Our final two offerings aim to confront two remaining issues:
How much time is represented in a given timestamp?
How can I produce a "simple string" timeframe usable with request.security() from a timeframe expressed in seconds?
`formattedNoOfPeriods()` converts a time value in ms to a quantity of time units. This is useful for calculating a difference in time between 2 points and converting to a desired number of units of time. If no unit is supplied, the function automatically chooses a unit based on a predetermined time step.
`secondsToTfString()` converts an input time in seconds to a target timeframe string in timeframe.period string format. This is useful for implementing stepped timeframes relative to the chart time, or calculating multiples of a given chart timeframe. Results from this function are in simple form, which means they are useable as `timeframe` arguments in functions like request.security() .
█ NOTES
Although the example code is commented in detail, the size of the library justifies some further explanation as many concepts are demonstrated. Key points are as follows:
• Pivot points are used to draw lines from. `timeFrom( )` calculates the length of the lines in the specified unit of time.
By default the script uses 20 units of the charts timeframe. Example: a 1hr chart has arrows 20 hours in length.
• At the point of the arrows `formattedNoOfPeriods()` calculates the line length in the specified unit of time from the input menu.
If “Use Input Time” is disabled, a unit of time is automatically assigned.
• At each pivot point a label with a formatted date or time is placed with one of the three formatting helper functions to display the time or date the pivot occurred.
• A label on the last bar showcases `secondsSince()` . The label goes through three stages of detection for a timed alert.
If the difference between the high and the open in ticks exceeds the input value, a timer starts and will turn the label red once the input time is exceeded to simulate a time-delayed alert.
• In the bottom right of the screen `secondsToTfString()` posts the chart timeframe in a table. This can be multiplied from the input menu.
Look first. Then leap.
█ FUNCTIONS
formattedTime(timeInMs, format)
Converts a UNIX timestamp (in milliseconds) to a formatted time string.
Parameters:
timeInMs : (series float) Timestamp to be formatted.
format : (series string) Format for the time. Optional. The default value is "HH:mm:ss".
Returns: (string) A string containing the formatted time.
formattedDate(timeInMs, format)
Converts a UNIX timestamp (in milliseconds) to a formatted date string.
Parameters:
timeInMs : (series float) Timestamp to be formatted.
format : (series string) Format for the date. Optional. The default value is "yyyy-MM-dd".
Returns: (string) A string containing the formatted date.
formattedDay(timeInMs, format)
Converts a UNIX timestamp (in milliseconds) to the name of the day of the week.
Parameters:
timeInMs : (series float) Timestamp to be formatted.
format : (series string) Format for the day of the week. Optional. The default value is "EEEE" (complete day name).
Returns: (string) A string containing the day of the week.
secondsSince(cond, resetCond)
The duration in milliseconds that a condition has been true.
Parameters:
cond : (series bool) Condition to time.
resetCond : (series bool) When `true`, the duration resets.
Returns: The duration in seconds for which `cond` is continuously true.
timeFrom(from, qty, units)
Calculates a +/- time offset in variable units from the current bar's time or from the current time.
Parameters:
from : (series string) Starting time from where the offset is calculated: "bar" to start from the bar's starting time, "close" to start from the bar's closing time, "now" to start from the current time.
qty : (series int) The +/- qty of units of offset required. A "series float" can be used but it will be cast to a "series int".
units : (series string) String containing one of the seven allowed time units: "chart" (chart's timeframe), "seconds", "minutes", "hours", "days", "months", "years".
Returns: (int) The resultant time offset `from` the `qty` of time in the specified `units`.
formattedNoOfPeriods(ms, unit)
Converts a time value in ms to a quantity of time units.
Parameters:
ms : (series int) Value of time to be formatted.
unit : (series string) The target unit of time measurement. Options are "seconds", "minutes", "hours", "days", "weeks", "months". If not used one will be automatically assigned.
Returns: (string) A formatted string from the number of `ms` in the specified `unit` of time measurement
secondsToTfString(tfInSeconds, mult)
Convert an input time in seconds to target string TF in `timeframe.period` string format.
Parameters:
tfInSeconds : (simple int) a timeframe in seconds to convert to a string.
mult : (simple float) Multiple of `tfInSeconds` to be calculated. Optional. 1 (no multiplier) is default.
Returns: (string) The `tfInSeconds` in `timeframe.period` format usable with `request.security()`.
Runners & Laggers (scanner)Firstly, seems to me this may only work with crypto but I know nothing about the other sectors so i could be wrong. I was trying to think up a good way to find moving coins(other than by volume bc theres holes in the results when using it this way). Thought this was an interesting concept so decided to publish it as I've seen no others like it (though i did not extensively search for it. We need to start with a little Tradingview(TV) common knowledge. When there is no update of trades/volume in a candle TV does not print the candle. So when looking at (let's say) a 1 second chart, if the coin being observed by the user has no update from a trade in the time of that 1 sec candle it is skipped over. This means that a coin with a ton of volume might fill an entire 60 seconds with 60 candles and conversely with a low volume coin there could be as little as 0 1-second candles. BUT even for normally low volume coins, when a pump is beginning with the coin it could literally go from 0 1-second candles within a minute to 60 1-second candles within the next minute. ***NOTE: This DOES NOT show ANY information if the coin is going up or down but rather that a LOT more trading volume is occurring than normal.*** What this script does is scans (via request.security feature) up to 40 coins at a time and counts how many candles are printed within a user set timespan calculated in minute. 1 candle print per incremented timeframe that the chart is on. ie. if the chart is a 1 min chart it counts how many 1 min candles are printed. So, (as is in the captured image for the script) if you wanted to count how many 5 second candles are printed for each coin in 1 min then you would have to put the charts timeframe on 5sec and the setting titled 'Window of TIME(in minutes) to count bars' as 1.0 (which bc it's in minutes 1.0m = 60sec and bc 60s / 5s = 12 there would be 12 possible values that each coin can be at depending on how many bars are counted within that 1min/60sec. *** I will update to show an image of what I'm talking about here. Now, the exchange I'm scanning here is Kucoin's Margin Coins. There are 170 something coins total but I removed a few i didn't care for to make it a round 40 coins per set (there being 4 sets of 40 coins total=160 coins being scanned). To scan all 4 sets the indicator must be added 4 times to the chart and a different 'set' selected for each iteration of the script on the chart. Free users can only scan 3 at the most. All others can scan all 4 sets. In the script you can change the exchange and coins as necessary. If there done so and there are not 40 coins total just put '' '' in the extra coins spots that are not filled and the script will skip over these blankly filled spots. The suffix (traded pair) for the tickerID on all Kucoin's Margin Coin's is USDT so that's what i have inputted in the main function on line 46 (will need to be changed if that differs from the coins you want to scan. Next in the line of settings is 'Window of TIME(in minutes) to count bars' which has already been discussed. Following that is the setting "Table Shows" which the results are all in a table and the table will present the coins that have either "Passed" or "Failed" depending on which you choose. The next setting determines what passes or fails. If there are 12 possible rows for the coins to be in (as described above) then this setting is the "Pass/Fail Cutoff" level. So if you want to show all the coins that are in rows 11 and 12 (as in the image at top) then 11 should be selected here. At this point you will see all the coins that have a lot of volume in them. Finding coin names in the table that are usually not with a ton of volume will present your present movers. NOTE: coins like BTC and ETH will almost always be in these levels so it does not indicate anything different from the norm of these coins. Last setting is the ability to show the table on the main window or not. Hope you enjoy and find use in it. BTW this screener format is the same as the others I have published. If you like, check those out too. If you find difficulty using then refer to those as well as they have additional info in them on how to use the scanner and its format. Lastly, in the script is the ability to print the plots and labels but I commented them out bc its really just a jumbled mess. In the commented out sections there is a Random Color Function (provided by @hewhomustnotbenamed which was developed on the basis of Function-HSL-color by @RicardoSantos. All right, peace brothers....and sisters.
**** Also, I see how the "levels" could be confusing so I will put them into a % format soon (probably not today) so that the "Pass/Fail Cutoff" can be in % format so that if "passed" is chosen and 50% is chosen (in the new setting that will be changed) then it'll show you all the coins that have more than 50% of the bars printed within the time window chosen. Goodluck in all your trading adventures. ChasinAlts out.
[kai]Futility RatioAn indicator that measures movement inefficiency
Inefficient movement, that is, the range market becomes a high number, the limit is reached at about 60 and a trend occurs
When the range breaks and a trend occurs, the inefficiency drops to about 40 and many trends end.
The full-scale trend goes down further and goes down to about 25, which is evaluated as an efficient movement, the limit is reached and the trend ends.
As for how to use this Inge, the direction of the trend needs to be considered in other ways.
Create a position when you reach 60
Position closed or contrarian at 40 or 25
I assume the usage
動きの非効率性を測定するインジケーターです
非効率な動きをするつまりレンジ相場は高い数字になって、60程度で限界が訪れてトレンドが発生します
レンジがブレイクしトレンドが発生すると40程度まで非効率性は下がりって多くのトレンドは終了します
本格的なトレンドはさらに下がっていって効率的な動きと評価される25程度まで下がって限界が訪れてトレンドが終了します
このインジの使い方はトレンドの方向は他の方法で考える必要がありますが
60まで上がったときにポジション作成
40又は25でポジションクローズ又は逆張り
という使い方を想定しています
