AI-driven Bitcoin analytics for learning and monitoring.
Explore probability-weighted scenarios, volatility regimes, and historical risk indicators.
Outputs are model-driven estimates for educational purposes and do not recommend buying or selling.
Why Risk Radar?
Traditional market analysis gives you a single prediction. We give you probability-weighted scenarios, early-warning risk indicators, and comprehensive risk assessmentโall powered by AI.
Probability-Weighted Scenarios
Get three likely market paths with assigned probabilities, not just one guess.
Early-Warning Indicators
Identify areas where historical volatility and liquidity patterns have tended to change. No action is implied.
AI-Powered Analysis
Advanced machine learning models analyze multiple data sources simultaneously.
Key Capabilities
Everything you need for comprehensive BTC risk monitoring
Real-Time Risk Monitoring
Live BTC risk indicators updated regularly with comprehensive risk assessment across multiple dimensions.
AI-Powered Scenarios
Three probability-weighted market scenarios with detailed narratives, key drivers, and invalidation signals.
Multi-Timeframe Analysis
Comprehensive technical analysis across multiple timeframes with key technical indicators.
Danger Zones
Identify price zones with elevated risk levels and understand why they pose threats.
Reaction Zones
Discover price zones where historical data shows elevated probability of regime change or higher-variance outcomes.
What You'll Gain
Risk Protection
Identify potential danger zones before they impact broader market conditions.
Save Time
No need to manually analyze multiple data sourcesโwe do it for you.
Data-Driven Analysis
Explore scenario-based risk framing and historical indicators for market education and research.
Global News Context
Understand how global news and events shape current market conditions and influence risk assessments.
What You'll Get
A comprehensive forecast dashboard with clear, structured insights
๐ Forecast Overview
- Current market context summary
- Overall risk assessment across 5 dimensions
- 24-hour and 5-day outlook
- Market reaction assessment summary
๐ฏ Three Scenarios
- Probability-weighted market paths
- Detailed narratives for each scenario
- Key drivers and invalidation signals
- Approximate price ranges (when available)
๐ Technical Analysis
- Multi-timeframe chart analysis
- Moving average analysis
- Technical indicators and divergences
- Chart pattern recognition
๐ Key Levels & Zones
- Support and resistance levels
- Danger zones with severity ratings
- Reaction zones with conviction levels
- Price band forecasts per scenario
See It In Action
Preview of what awaits you after signing in
Full access to all forecast details, historical data, and real-time updates
How it Works
Ingest Data
Aggregate real-time data from derivatives, on-chain, and spot market sources.
Model Regimes
Apply machine learning models to identify volatility regimes and market stress patterns.
Publish Forecasts
Generate probability-weighted scenarios and early-warning risk indicators for risk monitoring.
Why Trust Risk Radar?
AI-Powered
Advanced AI models analyze multiple data sources simultaneously for comprehensive, structured insights.
Multi-Source Data
Aggregates derivatives, on-chain, spot, and market data for balanced analysis.
Probability-Weighted
No single predictionsโget multiple scenarios with assigned probabilities that sum to 100%.
Research-Focused
Built for educational and research purposes with systematic methodology and evidence-based risk assessment frameworks.
Methodology
Our system collects a comprehensive variety of cryptocurrency and general market data to provide balanced risk assessments for the current day and nearest future.
The methodology integrates multiple data sources including:
Derivatives
Derivatives market data and metrics
On-Chain
On-chain metrics and blockchain data
Spot Metrics
Spot market data and indicators
Technical Analysis
Multi-timeframe technical analysis
Market Indicators
Market indicators and signals
News & Sentiment
Market news and sentiment data
Using machine learning models, the system identifies volatility regimes and market stress patterns to generate probability-weighted scenarios and early-warning alerts. This creates a balanced risk assessment that helps monitor structural market conditions. View our latest Bitcoin forecasts to see this methodology in action.
Frequently Asked Questions
Forecasts are generated regularly based on the latest market data. The system aggregates real-time information from multiple sources to provide up-to-date risk assessments and scenario forecasts.
Our system integrates derivatives data, on-chain metrics, spot market data, technical analysis, and market indicators to provide comprehensive risk assessments.
We provide probability-weighted scenarios, not single predictions. Each scenario has an assigned probability, and we focus on structural risk assessment rather than exact price predictions. All forecasts include risk levels and confidence indicators.
Risk levels are assessed across five dimensions: Macro Risk, On-chain Risk, Leverage Risk, Liquidity Risk, and Sentiment Risk. Each dimension is rated as Low, Medium, High, or Extreme, with an overall risk level provided.
No. Risk Radar provides probabilistic forecasts and risk assessments for informational purposes only. This is not financial, investment, trading, or legal advice. You are solely responsible for your own financial decisions.
Disclaimer: Risk Radar provides probabilistic forecasts and risk analytics for educational and informational purposes only. Nothing on this site constitutes financial, investment, trading, legal, or tax advice.
No content should be interpreted as a recommendation to buy, sell, or hold any asset. Risk Radar does not assess suitability, financial circumstances, or investment objectives.
All model outputs are probabilistic estimates and may be inaccurate, delayed, or incomplete.
Ready to Monitor BTC Risk?
Access extended analytics datasets, unlock additional historical scenario modeling, and explore deeper probabilistic research outputs.