Sentiment
LEOLA LENS SignalProLeola Lens SignalPro is a closed-source, invite-only overlay that provides automated Buy/Sell labels on the chart. It is built for traders who want to visually capture high-probability turning points using adaptive market logic.
The system operates in two intelligent modes, suitable for different risk profiles and market conditions:
🔁 Two Core Modes:
Scalper Mode
Reacts to short-term price momentum shifts. Ideal for fast-paced trading in crypto, intraday stocks, or volatile sessions.
Safeguard Mode
Prioritizes confirmation. Waits for cleaner structural breaks or volume-backed exhaustion before generating signals — designed for those seeking higher signal quality and fewer false positives.
📊 How It Works (Conceptual Overview):
The script analyzes:
Live price structure
Volatility bands
Dynamic support/resistance reactions
A custom trigger engine monitors:
Breakout conditions
Liquidity imbalances
Exhaustion wicks and trap patterns
Labels are only generated after strict checks.
A yellow caution label appears when there’s a likely trend reversal, alerting traders to proceed with extra caution.
🟡 Additional Visual Layers:
🟡 Yellow Line → Marks a key psychological decision zone. Often precedes major breakouts or trend changes.
🩷 Pink Lines → Show reactive support and resistance levels derived from recent liquidity sweeps. These lines help anticipate pullbacks, reversal rejections, or false breakouts.
🧩 How to Use It:
Toggle between Scalper and Safeguard modes depending on your strategy
Works across all markets — crypto, stocks, forex, and commodities
Watch for:
Buy labels near exhaustion candles or support retests
Sell labels after extended upside moves or trap wicks
Yellow caution tag = high reversal risk zone
Pink/Yellow lines = visual context for decision-making
⚠️ Important Notes:
This script does not use common indicators like RSI, MACD, or Bollinger Bands
Not derived from public scripts — it’s built from original models combining structure and momentum imbalance
For best results, use on a clean chart with no overlapping indicators.
LEOLA LENS FOOTPRINTLeola Lens Footprint is a closed-source, invite-only overlay tool built to track and visualize historical support and resistance levels where price has previously shown clear reactions.
Unlike predictive models or indicator-based tools, Footprint focuses solely on market memory — highlighting zones where actual buying/selling interest occurred in the past and continues to influence price behavior in the present.
🔍 What It Does:
Plots validated zones based on historical reactions — not assumptions
Displays support/resistance layers that have caused rejections, consolidations, or breakouts
Works in all markets (crypto, stocks, forex, commodities) and all timeframes
Color Markers:
🟣 Purple zones → Historical price memory zones with frequent rejections
🟤 Brown zones → Most recent rejection clusters (fresh supply/demand levels)
🟡 Yellow lines → Significant levels that often act as decision points
📊 Best For:
Traders who trade reactions at proven levels, not speculative predictions
Scalpers and swing traders looking for clean retest and rejection entries
Traders who want a consistent visual of historical support/resistance behavior
⚠️ Technical Notes:
This tool uses original logic and does not rely on indicators like RSI, MACD, MA, or volume
No future projection — levels are drawn only after confirmed reactions
Built to work in both trend and range markets
LEOLA LENS PROLeola Lens Pro is a closed-source, invite-only overlay designed to give traders deeper insight into liquidity shifts, trap zones, and expansion/reversion mechanics across all markets.
Built on the foundation of Leola Lens Standard, this version introduces:
✅ More precise, price-reactive zones
✅ Adaptive expansion and reversion levels
✅ Real-time visibility into liquidity sweeps and institutional trap zones
🔍 What It Displays:
Dynamic structure zones that adapt as price evolves
Expansion lines suggesting potential breakout or exhaustion targets
Zone clusters that highlight where breakouts may trap late entries
Additional color-coded markers:
🟡 Yellow Line → Key psychological decision zone
🩷 Pink Lines → Potential support/pullback or resistance-reversal zones
📊 Best Suited For:
Traders identifying value area breaks, imbalances, or liquidity voids
Scalpers seeking early signs of trap formations
Swing traders looking to catch mean reversion setups after expansions
⚠️ Technical Notes:
Leola Lens Pro is built with original code, not based on public Pine libraries or commonly reused indicator logic
Does not include RSI, MACD, Moving Averages, or volume indicators
Best visual performance on 15-minute charts, but adaptable to any timeframe
Fractal Pullback Market StructureFractal Pullback Market Structure
Author: The_Forex_Steward
License: Mozilla Public License 2.0
The Fractal Pullback Market Structure indicator is a sophisticated price action tool designed to visualize internal structure shifts and break-of-structure (BoS) events with high accuracy. It leverages fractal pullback logic to identify market swing points and confirm whether a directional change has occurred.
This indicator detects swing highs and lows based on fractal behavior, drawing zigzag lines to connect these key pivot points. It classifies and labels each structural point as either a Higher High (HH), Higher Low (HL), Lower High (LH), or Lower Low (LL). Internal shifts are marked using triangle symbols on the chart, distinguishing bullish from bearish developments.
Break of Structure events are confirmed when price closes beyond the most recent swing high or low, and a horizontal line is drawn at the breakout level. This helps traders validate when a structural trend change is underway.
Users can configure the lookback period that defines the sensitivity of the pullback detection, as well as a timeframe multiplier to align the logic with higher timeframes such as 4H or Daily. There are visual customization settings for the zigzag lines and BoS markers, including color, width, and style (solid, dotted, or dashed).
Alerts are available for each key structural label—HH, HL, LH, LL—as well as for BoS events. These alerts are filtered through a selectable alert mode that separates signals by timeframe category: Low Timeframe (LTF), Medium Timeframe (MTF), and High Timeframe (HTF). Each mode allows the user to receive alerts only when relevant to their strategy.
This indicator excels in trend confirmation and reversal detection. Traders can use it to identify developing structure, validate internal shifts, and anticipate breakout continuation or rejection. It is particularly useful for Smart Money Concept (SMC) traders, swing traders, and those looking to refine entries and exits based on price structure rather than lagging indicators.
Visual clarity, adaptable timeframe logic, and precise structural event detection make this tool a valuable addition to any price action trader’s toolkit.
SIG PRINT + COMBO SIG PRINT + COMBO — Multi-Timeframe Trend & EMA Crossover Tool
This script combines EMA crossover logic with DMI-based trend analysis across multiple timeframes. It helps visualize directional trends (Bullish, Bearish, or No Clear Trend) on 5-minute, 15-minute, 30-minute, and 1-hour charts, displayed in a color-coded table overlay.
Key Components:
• EMA Strategy: Uses configurable short- and long-term EMAs to define crossover-based entry conditions.
• DMI Trend Detection: Implements ADX, +DI, and -DI to assess trend direction and strength.
• Multi-Timeframe Display: Shows trend signals for 5m, 15m, 30m, 1h, and current chart timeframe.
Built for users interested in aligning strategy entries with trend context across multiple timeframes.
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@zaytradellc
USDT + USDC DominanceUSDT and USDC Dominance: This refers to the combined market capitalization of Tether (USDT) and USD Coin (USDC) as a percentage of the total cryptocurrency market capitalization. It measures the proportion of the crypto market held by these stablecoins, which are pegged to the US dollar. High dominance indicates a "risk-off" sentiment, where investors hold stablecoins for safety during market uncertainty. A drop in dominance suggests capital is flowing into riskier assets like altcoins, often signaling a bullish market or the start of an "alt season."
Economy RadarEconomy Radar — Key US Macro Indicators Visualized
A handy tool for traders and investors to monitor major US economic data in one chart.
Includes:
Inflation: CPI, PCE, yearly %, expectations
Monetary policy: Fed funds rate, M2 money supply
Labor market: Unemployment, jobless claims, consumer sentiment
Economy & markets: GDP, 10Y yield, US Dollar Index (DXY)
Options:
Toggle indicators on/off
Customizable colors
Tooltips explain each metric (in Russian & English)
Perfect for spotting economic cycles and supporting trading decisions.
Add to your chart and get a clear macro picture instantly!
RISK ROTATION MATRIX ║ BullVision [3.0]🔍 Overview
The Risk Rotation Matrix is a comprehensive market regime detection system that analyzes global market conditions across four critical domains: Liquidity, Macroeconomic, Crypto/Commodities, and Risk/Volatility. Through proprietary algorithms and advanced statistical analysis, it transforms 20+ diverse market metrics into a unified framework for identifying regime transitions and risk rotations.
This institutional-grade system aims to solve a fundamental challenge: how to synthesize complex, multi-domain market data into clear, actionable trading intelligence. By combining proprietary liquidity calculations with sophisticated cross-asset analysis.
The Four-Domain Architecture
1. 💧 LIQUIDITY DOMAIN
Our liquidity analysis combines standard metrics with proprietary calculations:
Proprietary Components:
Custom Global Liquidity Index (GLI): Unique formula aggregating central bank assets, credit spreads, and FX dynamics through our weighted algorithm
Federal Reserve Balance Proxy: Advanced calculation incorporating reverse repos, TGA fluctuations, and QE/QT impacts
China Liquidity Proxy: First-of-its-kind metric combining PBOC operations with FX-adjusted aggregates
Global M2 Composite: Custom multi-currency M2 aggregation with proprietary FX normalization
2. 📈 MACRO DOMAIN
Sophisticated integration of global economic indicators:
S&P 500: Momentum and trend analysis with custom z-score normalization
China Blue Chips: Asian market sentiment with correlation filtering
MBA Purchase Index: Real estate market health indicator
Emerging Markets (EEMS): Risk appetite measurement
Global ETF (URTH): Worldwide equity exposure tracking
Each metric undergoes proprietary transformation to ensure comparability and regime-specific sensitivity.
3. 🪙 CRYPTO/COMMODITIES DOMAIN
Unique cross-asset analysis combining:
Total Crypto Market Cap: Liquidity flow indicator with custom smoothing
Bitcoin SOPR: On-chain profitability analysis with adaptive periods
MVRV Z-Score: Advanced implementation with multiple MA options
BTC/Silver Ratio: Novel commodity-crypto relationship metric
Our algorithms detect when crypto markets lead or lag traditional assets, providing crucial timing signals.
4. ⚡ RISK/VOLATILITY DOMAIN
Advanced volatility regime detection through:
MOVE Index: Bond volatility with inverse correlation analysis
VVIX/VIX Ratio: Volatility-of-volatility for regime extremes
SKEW Index: Tail risk measurement with custom normalization
Credit Stress Composite: Proprietary combination of credit spreads
USDT Dominance: Crypto flight-to-safety indicator
All risk metrics are inverted and normalized to align with the unified scoring system.
🧠 Advanced Integration Methodology
Multi-Stage Processing Pipeline
Data Collection: Real-time aggregation from 20+ sources
Normalization: Custom z-score variants accounting for regime-specific volatility
Domain Scoring: Proprietary weighting within each domain
Cross-Domain Synthesis: Advanced correlation matrix between domains
Regime Detection: State-transition model identifying four market phases
Signal Generation: Composite score with adaptive smoothing
🔁 Composite Smoothing & Signal Generation
The user can apply smoothing (ALMA, EMA, etc.) to highlight trends and reduce noise. Smoothing length, type, and parameters are fully customizable for different trading styles.
🎯 Color Feedback & Market Regimes
Visual dynamics (color gradients, labels, trails, and quadrant placement) offer an at-a-glance interpretation of the market’s evolving risk environment—without forecasting or forward-looking assumptions.
🎯 The Quadrant Visualization System
Our innovative visual framework transforms complex calculations into intuitive intelligence:
Dynamic Ehlers Loop: Shows current position and momentum
Trailing History: Visual path of regime transitions
Real-Time Animation: Immediate feedback on condition changes
Multi-Layer Information: Depth through color, size, and positioning
🚀 Practical Applications
Primary Use Cases
Multi-Asset Portfolio Management: Optimize allocation across asset classes based on regime
Risk Budgeting: Adjust exposure dynamically with regime changes
Tactical Trading: Time entries/exits using regime transitions
Hedging Strategies: Implement protection before risk-off phases
Specific Trading Scenarios
Domain Divergence: When liquidity improves but risk metrics deteriorate
Early Rotation Detection: Crypto/commodity signals often lead broader markets
Volatility Regime Trades: Position for mean reversion or trend following
Cross-Asset Arbitrage: Exploit temporary dislocations between domains
⚙️ How It Works
The Composite Score Engine
The system's intelligence emerges from how it combines domains:
Each domain produces a normalized score (-2 to +2 range)
Proprietary algorithms weight domains based on market conditions
Composite score indicates overall market regime
Smoothing options (ALMA, EMA, etc.) optimize for different timeframes
Regime Classification
🟢 Risk-On (Green): Positive composite + positive momentum
🟠 Weakening (Orange): Positive composite + negative momentum
🔵 Recovery (Blue): Negative composite + positive momentum
🔴 Risk-Off (Red): Negative composite + negative momentum
Signal Interpretation Framework
The indicator provides three levels of analysis:
Composite Score: Overall market regime (-2 to +2)
Domain Scores: Identify which factors drive regime
Individual Metrics: Granular analysis of specific components
🎨 Features & Functionality
Core Components
Risk Rotation Quadrant: Primary visual interface with Ehlers loop
Data Matrix Dashboard: Real-time display of all 20+ metrics
Domain Aggregation: Separate scores for each domain
Composite Calculation: Unified score with multiple smoothing options
Customization Options
Selective Metrics: Enable/disable individual components
Period Adjustment: Optimize lookback for each metric
Smoothing Selection: 10 different MA types including ALMA
Visual Configuration: Quadrant scale, colors, trails, effects
Advanced Settings
Pre-smoothing: Reduce noise before final calculation
Adaptive Periods: Automatic adjustment during volatility
Correlation Filters: Remove redundant signals
Regime Memory: Hysteresis to prevent whipsaws
📋 Implementation Guide
Setup Process
Add to chart (optimized for daily, works on all timeframes)
Review default settings for your market focus
Adjust domain weights based on trading style
Configure visual preferences
Optimization by Trading Style
Position Trading: Longer periods (60-150), heavy smoothing
Swing Trading: Medium periods (20-60), balanced smoothing
Active Trading: Shorter periods (10-40), minimal smoothing
Best Practices
Monitor domain divergences for early signals
Use extreme readings (-1.5/+1.5) for high-conviction trades
Combine with price action for confirmation
Adjust parameters during major events (FOMC, earnings)
💎 What Makes This Unique
Beyond Traditional Indicators
Multi-Domain Integration: Only system combining liquidity, macro, crypto, and volatility
Proprietary Calculations: Custom formulas for GLI, Fed, China, and M2 proxies
Adaptive Architecture: Dynamically adjusts to market regimes
Institutional Depth: 20+ integrated metrics vs typical 3-5
Technical Innovation
Statistical Normalization: Custom z-score variants for cross-asset comparison
Correlation Management: Prevents double-counting related signals
Regime Persistence: Algorithms to identify sustainable vs temporary shifts
Visual Intelligence: Information-dense display without overwhelming
🔢 Performance Characteristics
Strengths
Early regime detection (typically 1-3 weeks ahead)
Robust across different market environments
Clear visual feedback reduces interpretation errors
Comprehensive coverage prevents blind spots
Optimal Conditions
Most effective with 100+ bars of history
Best on daily timeframe (4H minimum recommended)
Requires liquid markets for accurate signals
Performance improves with more enabled components
⚠️ Risk Considerations & Limitations
Important Disclaimers
Probabilistic system, not predictive
Requires understanding of macro relationships
Signals should complement other analysis
Past regime behavior doesn't guarantee future patterns
Known Limitations
Black swan events may cause temporary distortions
Central bank interventions can override signals
Requires active management during regime transitions
Not suitable for pure technical traders
💎 Conclusion
The Risk Rotation Matrix represents a new paradigm in market regime analysis. By combining proprietary liquidity calculations with comprehensive multi-domain monitoring, it provides institutional-grade intelligence previously available only to large funds. The system's strength lies not just in its individual components, but in how it synthesizes diverse market information into clear, actionable trading signals.
⚠️ Access & Intellectual Property Notice
This invite-only indicator contains proprietary algorithms, custom calculations, and years of quantitative research. The mathematical formulations for our liquidity proxies, cross-domain correlation matrices, and regime detection algorithms represent significant intellectual property. Access is restricted to protect these innovations and maintain their effectiveness for serious traders who understand the value of comprehensive market regime analysis.
Trend Reversal Strength Indicator 2Trend reversal strength indicator that monitors bullish or bearish sentiment for scalpers.
USDT + USDC Dominance USDT + USDC Dominance: This refers to the combined market capitalization of Tether (USDT) and USD Coin (USDC) as a percentage of the total cryptocurrency market capitalization. It measures the proportion of the crypto market held by these stablecoins, which are pegged to the US dollar. High dominance indicates a "risk-off" sentiment, where investors hold stablecoins for safety during market uncertainty. A drop in dominance suggests capital is flowing into riskier assets like altcoins, often signaling a bullish market or the start of an "alt season.
Momentum Commitment Delta (MCD)Momentum Commitment Delta (M C D)
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What it is
M C D fuses five micro-structure clues into one 0-to-1 score that says, “how hard are traders actually leaning on this move?”
1. Body-Delta Momentum – average net candle body direction.
2. Volume Commitment – up-volume ÷ down-volume over the same window.
3. Wick Compression – shrinking upper/lower wicks = clean conviction.
4. Candle Sequencing – rewards orderly, staircase-style body growth.
5. Pin Ratio – where the close pins inside each candle’s range.
The five factors are multiplied, then auto-normalized so extremes always land near 0 / 1 on any symbol or timeframe.
I recommend tweaking the settings to fit your edge, the pre-loaded settings may not be suitable for most traders. The MCD works on all timeframes as well :)
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How to read basic signals
• Fresh cross above 0.70 → often the birth of a real breakout.
• Cluster of > 0.70 bars → “commitment lock,” pull-backs usually shallow.
• Price makes new high while M C D doesn’t → beware...
• Cross back below 0.30 after a run → momentum is out of fuel.
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Because M C D is multiplicative, it’s hard to hit the extremes—so when the bars light lime green, the print is usually telling the truth.
I personally use the MCD to identify the peak of a high-conviction range, NOT a breakout. If a bar prints over 0.70 (green) and then a range forms off of the bar which exceeded 0.70, the breakout has a high chance to be explosive, regardless of what MCD reads at the breakout inflection point.
Play around with it, im sure there are plenty of other patterns.
Disclaimer: The Momentum Commitment Delta (MCD) indicator is provided strictly for educational and informational purposes. It does not constitute financial or investment advice, nor is it a recommendation to buy or sell any security. Trading involves substantial risk, and you should always perform your own due diligence and consult a qualified financial professional before making any trading decisions. Past performance is not indicative of future results.
Monday Swing Box# Monday Swing Box Indicator - Trading Applications
This "Monday Swing Box" indicator can be very useful in trading for several strategic reasons:
## 1. **"Monday Effect" Analysis**
* **Concept**: Mondays often have particular characteristics in the markets (opening gaps, weekend catch-up, different volumes)
* **Utility**: Allows visualization and quantification of these Monday-specific movements
* **Application**: Helps identify recurring patterns in your strategy
## 2. **Relative Volatility Measurement with ATR**
* **The ATR percentage tells you**:
* **< 50%**: Low volatility Monday (possible consolidation)
* **50-100%**: Normal volatility
* **> 100%**: Very volatile Monday (important event, potential breakout)
* **Advantage**: Contextualizes the movement relative to historical volatility
## 3. **Practical Trading Applications**
### **For Day Trading**:
* **Entry**: A Monday with >150% ATR may signal a strong movement to follow
* **Stop Loss**: Adjust stop sizes according to Monday's volatility
* **Targets**: Calibrate targets according to the movement's magnitude
### **For Swing Trading**:
* **Support/Resistance**: Monday's high/low often become key levels
* **Breakout**: Breaking above/below Monday's box may signal continuation
* **Retracement**: Return to Monday's box = support/resistance zone
### **For Risk Management**:
* **Sizing**: Adapt position sizes according to measured volatility
* **Timing**: Avoid trading abnormally volatile Mondays if you prefer stability
## 4. **Specific Possible Strategies**
### **"Monday Breakout"**:
* Wait for a break above/below Monday's box
* Enter in the direction of the breakout
* Stop at the other end of the box
### **"Monday Reversal"**:
* If Monday shows >200% ATR, look for a reversal
* The box becomes a resistance/support zone
### **"Monday Range"**:
* Trade bounces off the box limits
* Particularly effective if ATR % is normal (50-100%)
## 5. **Visualization Advantages**
* **Historical**: See past patterns across multiple Mondays
* **Comparison**: Compare current volatility to previous Mondays
* **Anticipation**: Prepare your strategy according to the type of Monday observed
## 6. **Limitations to Consider**
* Monday patterns can vary according to markets and periods
* Don't trade solely on this indicator, but use it as a complement
* Consider macroeconomic context and news
This indicator is therefore particularly useful for traders who want to exploit Monday's specificities and have an objective measure of this day's relative volatility compared to normal market conditions.
Advanced Risk Appetite Index ProThe Advanced Risk Appetite Index (RAI) represents a sophisticated institutional-grade measurement system for quantifying market risk sentiment through proprietary multi-factor fundamental analysis. This indicator synthesizes behavioral finance theory, market microstructure research, and macroeconomic indicators to provide real-time assessment of market participants' risk tolerance and investment appetite.
## Theoretical Foundation
### Academic Framework
The Risk Appetite Index is grounded in established financial theory, particularly the behavioral finance paradigm introduced by Kahneman and Tversky (1979) in their seminal work on prospect theory¹. The indicator incorporates insights from market microstructure theory (O'Hara, 1995)² and extends the risk-on/risk-off framework developed by Kumar and Lee (2006)³ through advanced statistical modeling techniques.
The theoretical foundation draws from multiple academic disciplines:
**Behavioral Finance**: The indicator recognizes that market participants exhibit systematic biases in risk perception, as documented by Shefrin and Statman (1985)⁴. These cognitive biases create measurable patterns in asset pricing and cross-asset relationships.
**Market Microstructure**: Following the work of Hasbrouck (1991)⁵, the model incorporates liquidity dynamics and market structure effects that influence risk sentiment transmission.
**Macroeconomic Theory**: The indicator integrates insights from monetary economics (Taylor, 1993)⁶ and international finance (Dornbusch, 1976)⁷ to capture policy impact on market sentiment.
### Methodological Approach
The Advanced Risk Appetite Index employs a proprietary multi-factor modeling approach that combines elements of:
1. **Advanced Factor Analysis**: Following established methodologies from Fama and French (1993)⁸, the system identifies fundamental factors that explain risk appetite variations.
2. **Regime-Adaptive Modeling**: Incorporating insights from Hamilton (1989)⁹ on regime-switching models to adapt to changing market conditions.
3. **Robust Statistical Framework**: Implementation of robust estimation methods (Huber, 1981)¹⁰ to ensure signal reliability and minimize noise impact.
## Technical Architecture
### Proprietary Multi-Factor Framework
The indicator processes information from multiple fundamental market dimensions through a sophisticated weighting and normalization system. The specific factor selection and weighting methodology represents proprietary intellectual property developed through extensive empirical research and optimization.
**Statistical Processing**: All inputs undergo robust statistical transformation using advanced normalization techniques based on Rousseeuw and Croux (1993)²⁰ to ensure consistent signal generation across different market environments.
**Dynamic Adaptation**: The system incorporates dynamic weighting adjustments based on market regime detection, drawing from the dynamic factor model literature (Stock and Watson, 2002)²¹.
**Quality Assurance**: Multi-layered quality assessment ensures signal reliability through proprietary filtering mechanisms that evaluate:
- Factor consensus requirements
- Signal persistence validation
- Data quality thresholds
- Regime-dependent adjustments
## Implementation and Usage
### Professional Visualization
The indicator provides institutional-grade visualization through:
**Multi-Theme Color Schemes**: Eight professional color themes optimized for different trading environments, following data visualization best practices (Tufte, 2001)²².
**Dynamic Background System**: Real-time visual feedback system that provides immediate market risk appetite assessment.
**Signal Quality Indicators**: Professional-grade visual representations of signal strength and reliability metrics.
### Analytics Dashboard
The comprehensive dashboard provides key institutional metrics including:
- Strategy position status and signal tracking
- Risk level assessment and market sentiment indicators
- Uncertainty measurements and volatility forecasting
- Trading signal quality and regime identification
- Performance analytics and model diagnostics
### Professional Alert System
Comprehensive alert framework covering:
- Entry and exit signal notifications
- Threshold breach warnings
- Market regime change alerts
- Signal quality degradation warnings
## Trading Applications
### Signal Generation Framework
The indicator generates professionally validated signals through proprietary algorithms:
**Long Entry Signals**: Generated when risk appetite conditions satisfy multiple proprietary criteria, indicating favorable risk asset exposure conditions.
**Position Management Signals**: Generated when risk appetite deteriorates below critical thresholds, suggesting defensive positioning requirements.
### Risk Management Integration
The indicator seamlessly integrates with institutional risk management frameworks through:
- Real-time regime identification and classification
- Advanced volatility forecasting capabilities
- Crisis detection and early warning systems
- Comprehensive uncertainty quantification
### Multi-Timeframe Applications
While optimized for daily analysis, the indicator supports various analytical timeframes for:
- Strategic asset allocation decisions
- Tactical portfolio rebalancing
- Risk management applications
## Empirical Validation
### Performance Characteristics
The indicator has undergone extensive empirical validation across multiple market environments, demonstrating:
- Consistent performance across different market regimes
- Robust signal generation during crisis periods
- Effective risk-adjusted return enhancement capabilities
### Statistical Validation
All model components and signal generation rules have been validated using:
- Comprehensive out-of-sample testing protocols
- Monte Carlo simulation analysis
- Cross-regime performance evaluation
- Statistical significance testing
## Model Specifications
### Market Applications and Target Instruments
**Primary Target Market**: The Advanced Risk Appetite Index is specifically optimized for S&P 500 Index (SPX) analysis, where it demonstrates peak performance characteristics. The model's proprietary factor weighting and signal generation algorithms have been calibrated primarily against SPX historical data, ensuring optimal sensitivity to US large-cap equity market dynamics.
**Secondary Market Applications**: While designed for SPX, the indicator demonstrates robust performance across other major equity indices, including:
- NASDAQ-100 (NDX) and related instruments
- Dow Jones Industrial Average (DJIA)
- Russell 2000 (RUT) for small-cap exposure
- International indices with sufficient liquidity and data availability
**Cross-Market Validation**: The model's fundamental approach to risk appetite measurement provides meaningful signals across different equity markets, though performance characteristics may vary based on market structure, liquidity, and regional economic factors.
### Data Requirements
The indicator requires access to institutional-grade market data across multiple asset classes and economic indicators. Specific data requirements and processing methodologies are proprietary.
### Computational Framework
The system utilizes advanced computational techniques including:
- Robust statistical estimation methods
- Dynamic factor modeling approaches
- Regime-switching algorithms
- Real-time signal processing capabilities
## Limitations and Risk Disclosure
### Model Limitations
**Data Dependency**: The indicator requires comprehensive market data and may experience performance variations during periods of limited data availability.
**Regime Sensitivity**: Performance characteristics may vary across different market regimes and structural breaks.
### Risk Warnings
**Past Performance Disclaimer**: Historical results do not guarantee future performance. All trading involves substantial risk of loss.
**Model Risk**: Quantitative models are subject to model risk and may fail to predict future market movements accurately.
**Market Risk**: The indicator does not eliminate market risk and must be used within comprehensive risk management frameworks.
## Professional Applications
### Target Users
The Advanced Risk Appetite Index is designed for:
- Institutional portfolio managers and investment professionals
- Risk management teams and quantitative analysts
- Professional traders and hedge fund managers
- Academic researchers and financial consultants
### Integration Capabilities
The indicator supports integration with:
- Portfolio optimization and management systems
- Risk management and monitoring platforms
- Automated trading and execution systems
- Research and analytics databases
## References
1. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-291.
2. O'Hara, M. (1995). Market Microstructure Theory. Cambridge, MA: Blackwell Publishers.
3. Kumar, A., & Lee, C. M. (2006). Retail Investor Sentiment and Return Comovements. Journal of Finance, 61(5), 2451-2486.
4. Shefrin, H., & Statman, M. (1985). The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence. Journal of Finance, 40(3), 777-790.
5. Hasbrouck, J. (1991). Measuring the Information Content of Stock Trades. Journal of Finance, 46(1), 179-207.
6. Taylor, J. B. (1993). Discretion versus Policy Rules in Practice. Carnegie-Rochester Conference Series on Public Policy, 39, 195-214.
7. Dornbusch, R. (1976). Expectations and Exchange Rate Dynamics. Journal of Political Economy, 84(6), 1161-1176.
8. Fama, E. F., & French, K. R. (1993). Common Risk Factors in the Returns on Stocks and Bonds. Journal of Financial Economics, 33(1), 3-56.
9. Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384.
10. Huber, P. J. (1981). Robust Statistics. New York: John Wiley & Sons.
11. Breeden, D. T. (1979). An Intertemporal Asset Pricing Model with Stochastic Consumption and Investment Opportunities. Journal of Financial Economics, 7(3), 265-296.
12. Mishkin, F. S. (1990). What Does the Term Structure Tell Us About Future Inflation? Journal of Monetary Economics, 25(1), 77-95.
13. Estrella, A., & Hardouvelis, G. A. (1991). The Term Structure as a Predictor of Real Economic Activity. Journal of Finance, 46(2), 555-576.
14. Collin-Dufresne, P., Goldstein, R. S., & Martin, J. S. (2001). The Determinants of Credit Spread Changes. Journal of Finance, 56(6), 2177-2207.
15. Carr, P., & Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341.
16. Engel, C. (1996). The Forward Discount Anomaly and the Risk Premium: A Survey of Recent Evidence. Journal of Empirical Finance, 3(2), 123-192.
17. Ranaldo, A., & Söderlind, P. (2010). Safe Haven Currencies. Review of Finance, 14(3), 385-407.
18. Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), 65-91.
19. Pástor, L., & Stambaugh, R. F. (2003). Liquidity Risk and Expected Stock Returns. Journal of Political Economy, 111(3), 642-685.
20. Rousseeuw, P. J., & Croux, C. (1993). Alternatives to the Median Absolute Deviation. Journal of the American Statistical Association, 88(424), 1273-1283.
21. Stock, J. H., & Watson, M. W. (2002). Dynamic Factor Models. Oxford Handbook of Econometrics, 1, 35-59.
22. Tufte, E. R. (2001). The Visual Display of Quantitative Information (2nd ed.). Cheshire, CT: Graphics Press.
RSI(14) Custom by ChadRSI 14 : this indicator works in low time frame like 1h and 4h, for entry long position and short position. when the line touch 70 mean the price is overbought, when the line touch 50 it"s neutral, and when the line touch 30 mean price is oversold.
[Enhanced] L1 Banker Move🧠 L1 Banker Move
This is a multi-layered momentum signal tool designed to reveal institutional activity before major price moves. It combines deep liquidity detection, price pressure dynamics, and short-term investor alignment to deliver actionable signals with clarity and precision.
Key Features:
🔴 Institutional Signal
Detects potential Level 1 banker moves based on deep price compression and long-term sweep logic (Lowest Low 90 + smoothed momentum spikes).
🔵 Institutional Build Phase
Shows stealth accumulation/distribution zones using low volatility buildup and compression-based ratios over the past 30 bars.
🟢 Short-Term Investor Signal
Confirms price shifts with VWAP cross, SMA structure, and fast/slow EMA delta acceleration. Useful for timing precision entries after institutional setups.
💜 Combined Strength Histogram
A composite momentum bar that blends all three layers to visually rank the power of each setup.
🎯 Smart Highlighting & Alerts
Background turns red when an institutional signal appears without retail confirmation—flagging early entry traps or front-running zones. Includes alert conditions to notify you of optimal entry moments.
Customization:
Adjust the EMA delta sensitivity
Choose your preferred institutional timeframe (default: Daily)
[Enhanced] L1 Banker MoveThis is a multi-layered momentum signal tool designed to reveal institutional activity before major price moves. It combines deep liquidity detection, price pressure dynamics, and short-term investor alignment to deliver actionable signals with clarity and precision.
Key Features:
🔴 Institutional Signal
Detects potential Level 1 banker moves based on deep price compression and long-term sweep logic (Lowest Low 90 + smoothed momentum spikes).
🔵 Institutional Build Phase
Shows stealth accumulation/distribution zones using low volatility buildup and compression-based ratios over the past 30 bars.
🟢 Short-Term Investor Signal
Confirms price shifts with VWAP cross, SMA structure, and fast/slow EMA delta acceleration. Useful for timing precision entries after institutional setups.
💜 Combined Strength Histogram
A composite momentum bar that blends all three layers to visually rank the power of each setup.
🎯 Smart Highlighting & Alerts
Background turns red when an institutional signal appears without retail confirmation—flagging early entry traps or front-running zones. Includes alert conditions to notify you of optimal entry moments.
Customization:
Adjust the EMA delta sensitivity
Choose your preferred institutional timeframe (default: Daily)
Intradayscanner – Institutional Interest (vs. RSP)This indicator measures volatility-adjusted Relative Residual Strength (RRS) of any symbol versus RSP (the Invesco S&P 500® Equal Weight ETF) to surface potential institutional interest overlooked by cap-weighted benchmarks.
Equal-weighted benchmark: Uses RSP instead of SPY, so each S&P 500 component carries equal influence—highlighting broad institutional flows beyond the largest names.
ATR normalization: Computes a “Divergence Index” by dividing RSP’s price move by its ATR(14), then adjusts the symbol’s move by that index and rescales by its own ATR(14). This isolates true outperformance.
Residual focus: RRS represents the portion of a symbol’s move unexplained by broad-market action, making it easier to spot when institutions rotate into specific stocks.
Visualization: Plots RRS as green/red histogram bars and overlays a 14-period EMA for trend smoothing.
AmazingTrend - Long OnlyUnlock powerful trend-following logic with this dynamic and fully customizable Pine Script™ strategy, designed for traders who want precision entries, adaptive exits, and beautiful chart visuals.
✅ Key Features:
Long Bias by Default – Designed to ride bullish momentum with intelligent entries and flexible exits.
Optional Short Capability – While optimized for longs, the engine is also fully capable of short-side logic with minor adaptation.
Multiple Entry Modes – Choose between:
Classic – Reversals only
Aggressive – Early trend detection
Conservative – Confirmed trend continuation
Momentum – Powered by ATR and price bursts
Exit Customization – Includes:
Classic – Balanced logic
Quick – Tight risk control
Trailing – Dynamic stop tracking
Time-Based – Scheduled profit-taking
Visual Feedback – Multi-layered trend glow, buy/exit highlights, and a clean on-chart info panel.
Commission + Order Size Logic – Simulate realistic brokerage conditions with configurable cost and size inputs.
🔍 Chart Compatibility:
For the best performance, we recommend:
✅ Heikin Ashi and Renko charts for clarity and noise reduction.
✅ Use Regular Candlestick Charts only on higher timeframes (Daily and above) for clean signals.
❌ Avoid lower timeframes 1second to 5minute it is not built for this.
🧠 Smart Trend Detection:
The strategy detects directional bias using smoothed ATR-based stops and automatically shifts between bullish and bearish regimes. Entry and exit logic responds dynamically to market strength, giving you the edge in both volatile and trending environments.
🧪 Strategy Tested:
Built for 100% portfolio allocation per trade
Designed for realistic backtests with slippage and commission settings backtest results on our page is 0.25 % on buy and sell so total 0.50 %
Works across multiple markets: Crypto, Forex, Stocks. (futures coming later)
📈 Ideal For:
for shorters. investors, long traders, i do not recommend scalping ever but thats up to you.
Swing and momentum setups
Renko & Heikin Ashi fans
beware tradingview dont support alerts on Renko charts.
accurate backtest results that reflect reality if you use it exactly as displayed.
🎁 This Invite-Only script includes lifetime updates and is optimized for Pine Script v5. Contact the author to gain access. we will ofc develop this script feel free to use any version you prefer in the future.
Signalgo XSignalgo X
Signalgo X is a sophisticated indicator crafted for traders who demand a disciplined, multi-layered approach to market analysis and trade management. This overview will help you understand its capabilities, logic, and how it can elevate your trading.
Core Concept
Signalgo X is built to:
Scan multiple timeframes simultaneously for price, volume, and volatility patterns.
Filter out unreliable signals during periods of market hype or manipulation.
Automate trade management with dynamic take-profit (TP), stop-loss (SL), and trailing logic.
Deliver actionable, visual signals and alerts for timely, confident decisions.
Inputs & Controls
Preset System Parameters:
News Sensitivity: Determines how responsive the indicator is to price moves.
Hype Filter Strength: Sets how aggressively the system avoids volatile, manipulated, or news-driven periods.
User-Configurable:
Show TP/SL Logic: Turn on/off the display of take-profit and stop-loss levels directly on your chart.
How Signalgo X Works
1. Multi-Timeframe Market Analysis
Signalgo X continuously monitors:
Closing price
Trading volume
Volatility (ATR)
across six distinct timeframes, from 1 hour to 3 months. This layered approach ensures that signals are validated by both short-term momentum and long-term trends.
2. Price, Volume, and Volatility Synthesis
Price Change: The system tracks percentage changes over each timeframe to gauge momentum.
Volume Ratio: By comparing current volume to a moving average, it detects unusual spikes that may signal institutional activity or manipulation.
Volatility: Measures the intensity of price movements relative to average ranges, helping to identify breakout or exhaustion scenarios.
3. Proprietary Anti-Hype Filter
A unique scoring mechanism evaluates:
Volume spikes without corresponding price action
Sudden jumps in volatility
Conflicting signals across timeframes
Social hype proxies (e.g., sharp moves on low volume)
If the market is deemed “hyped,” all trading signals are suppressed and a clear warning is shown, keeping you out of unpredictable conditions.
4. Signal Classification & Mapping
Significant Moves: Only price actions that exceed a sensitivity threshold and are confirmed by volume/volatility are considered.
Bullish/Bearish Signals: Generated for each timeframe.
Signal Strength: Categorized as regular, or strong based on multi-timeframe agreement.
Entry & Exit Strategy
Entry Logic
Long (Buy) Entry: Triggered when bullish signals are detected (of any strength) and no hype is present.
Short (Sell) Entry: Triggered when bearish signals are detected and no hype is present.
Exit & Trade Management
Stop Loss (SL): Placed at a calculated distance from entry, adapting to recent volatility.
Take Profits (TP1, TP2, TP3): Three profit targets, each at a greater reward multiple.
Trailing Stop: After the first take-profit is hit, the stop-loss moves to breakeven and a trailing stop is activated to protect further gains.
Event Tracking: The indicator visually marks when each TP or SL is hit, providing real-time feedback.
Chart Plots: All relevant SL, TP, and trailing stop levels are clearly marked for both long and short trades.
Labels: Entry, exit, and signal strength events are color-coded and visually prominent.
Alerts: Built-in alert conditions allow you to set up TradingView notifications for strong/regular buy/sell signals and hype warnings.
Trading Strategy Application
Multi-Timeframe Confirmation: Only strong signals confirmed by several timeframes are acted upon, reducing false positives.
Volume & Volatility Awareness: The indicator avoids low-quality, “fakeout” signals by requiring confirmation from both price and volume/volatility.
Hype Avoidance: Keeps you out of the market during news-driven or manipulated periods, helping to protect your capital.
Automated Discipline: The TP/SL logic enforces a rules-based exit strategy, helping you lock in profits and limit losses without emotional interference.
Who Should Use Signalgo X?
Signalgo X is ideal for traders who want:
Systematic, high-confidence signals
Automated and disciplined trade management
Protection against unpredictable market events
Clear, actionable visuals and alerts
AD Line of S&P SectorsAdvance-Decline Line of S&P 500 Sectors
This indicator tracks the breadth strength of the S&P 500 by combining an unweighted Advance-Decline (A/D) Line and a market-cap weighted A/D Histogram across all 11 major S&P sectors.
Key Features
Sector A/D Histogram: Measures sector breadth based on whether each sector advanced or declined, then weights it by its current estimated market cap share.
Unweighted A/D Line: Smooth average of sectors equally weighted, giving an alternative breadth view that’s less biased by large sectors.
Top Weighted Stocks Tracker: Tracks the daily percentage change of the top 10 highest-weighted S&P 500 stocks, scaled by their index weights, and overlays them as a background area plot.
Zero Crossovers: Histogram and line crossing zero can help highlight broadening strength or weakness.
Customizable Sector Weights: Sector weights can be adjusted in the settings. It is recommended to review and update these periodically to reflect changes in S&P sector allocations.
Repaint Option: Uses a user-selectable repaint mode for flexible bar update logic.
How to Use
Trend Confirmation: When the weighted histogram and unweighted line are above zero together, it indicates broad sector strength; below zero suggests broad weakness.
Neutral Zone: Values between +0.5 and -0.5 (or your custom thresholds) may imply a ranging market or slower movement.
Top Names Context: The top-weighted stocks area shows how much the index’s largest components are pulling the market up or down, relative to the broader sector breadth.
⚠️ Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Always do your own research and consult with a qualified financial professional before making trading decisions. Use at your own risk.
