Quantitative Analysis
For Smarter Trading Decisions
Quant Metrics are quantitative analysis tools designed to support and enhance your trading decision-making process. From ROI tracking to risk assessment—all in one hub.
Momentum & ROI
10 metrics
Track returns over time and measure performance against historical benchmarks.
Counters
8 metrics
Count-based indicators showing consecutive moves and advancing/declining metrics.
Risk Analysis
8 metrics
Assess market risk conditions and identify potential entry/exit zones.
Market Caps
2 metrics
Metrics related to market share and dominance across assets.
Volume Analysis
3 metrics
Analyze trading volumes across weekdays, months and quarters.
Social
1 metric
Sentiment indices such as Fear & Greed.
Relative Performance
2 metrics
Compare asset returns against benchmarks and evaluate alpha, beta and correlation dynamics.
Macro
3 metrics
Monitor inflation, labour market stress and yield curves to contextualise crypto price action within the broader economy.
Advanced
1 metric
Deep market analysis with regression models, correlations, and dominance tracking.
Explore Every Metric
Each metric provides unique insights into market conditions. Select a category and metric to learn more.
Running ROI
Return on Investment holding an asset for a selected period
Represents the return on investment of a position held over a rolling time window defined by the selected period until today.
Values increase as price rises relative to the rolling entry point and decrease when performance deteriorates over the same time window.
Useful for tracking performance consistency over time and comparing returns across different holding periods.
Two Powerful Ways to Analyze
Whether you prefer manual analysis or automated execution, our metrics are designed to fit your workflow.
Manual Chart Analysis
Explore metrics visually to gain insights into market conditions, identify trends, and spot potential opportunities before taking action.
Examples
- Analyze Running ROI to see how recent performance compares to historical periods
- Check Bubble Risk to identify overheated market conditions
- Review Correlations to understand asset relationships
Strategy Integration
Incorporate metrics as conditions in the Visual Editor to create automated strategies that react to data-driven signals.
Examples
- Buy when Bubble Risk drops below -20 (undervalued zone)
- Sell when Aggregated Risk exceeds 0.8 (high risk)
- Enter when Days Since 10% Gain exceeds 30 (momentum exhaustion)
Quant Trading Systems
Build institutional-grade algorithmic strategies using quantitative metrics as real-time trading signals, not just post-analysis tools.
Examples
- Trigger entries only when rolling Sharpe Ratio exceeds 1.5
- Scale position size inversely to Aggregated Risk
- Exit positions when Max Drawdown threshold is breached
Why Our Metrics Stand Out
Professional-grade analysis tools designed for both visual exploration and strategy automation.
Dual Usage
Analyze charts visually for insights or integrate metrics directly into your trading strategies.
Historical Depth
Access years of historical data to identify patterns and validate your analysis.
Customizable Parameters
Adjust timeframes, periods, and thresholds to match your specific trading style.
Editor Integration
Use any metric as a condition in your automated strategies for data-driven decisions.
Frequently Asked Questions
Everything you need to know about Quant Metrics