PYTH PYTH / MDAO Crypto vs VIRTUAL VIRTUAL / MDAO Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / MDAOVIRTUAL / MDAO
📈 Performance Metrics
Start Price 7.3230.88
End Price 12.89158.40
Price Change % +76.02%+412.92%
Period High 13.14169.99
Period Low 2.8816.18
Price Range % 356.3%950.9%
🏆 All-Time Records
All-Time High 13.14169.99
Days Since ATH 1 days13 days
Distance From ATH % -2.0%-6.8%
All-Time Low 2.8816.18
Distance From ATL % +347.4%+879.3%
New ATHs Hit 11 times17 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.85%8.38%
Biggest Jump (1 Day) % +3.03+79.17
Biggest Drop (1 Day) % -6.09-78.48
Days Above Avg % 44.0%40.2%
Extreme Moves days 13 (3.8%)5 (1.9%)
Stability Score % 0.0%67.9%
Trend Strength % 54.4%51.9%
Recent Momentum (10-day) % +10.28%+0.13%
📊 Statistical Measures
Average Price 5.4450.74
Median Price 5.2744.79
Price Std Deviation 1.5329.00
🚀 Returns & Growth
CAGR % +83.49%+892.67%
Annualized Return % +83.49%+892.67%
Total Return % +76.02%+412.92%
⚠️ Risk & Volatility
Daily Volatility % 8.70%16.27%
Annualized Volatility % 166.24%310.88%
Max Drawdown % -66.53%-78.87%
Sharpe Ratio 0.0620.093
Sortino Ratio 0.0670.164
Calmar Ratio 1.25511.318
Ulcer Index 40.9742.44
📅 Daily Performance
Win Rate % 54.4%51.9%
Positive Days 185135
Negative Days 155125
Best Day % +58.79%+202.68%
Worst Day % -47.91%-46.17%
Avg Gain (Up Days) % +5.66%+9.17%
Avg Loss (Down Days) % -5.56%-6.74%
Profit Factor 1.211.47
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.2141.469
Expectancy % +0.54%+1.52%
Kelly Criterion % 1.73%2.46%
📅 Weekly Performance
Best Week % +56.09%+86.73%
Worst Week % -21.65%-31.43%
Weekly Win Rate % 57.7%48.7%
📆 Monthly Performance
Best Month % +83.05%+203.72%
Worst Month % -28.23%-40.05%
Monthly Win Rate % 53.8%60.0%
🔧 Technical Indicators
RSI (14-period) 60.4356.88
Price vs 50-Day MA % +107.65%+133.63%
Price vs 200-Day MA % +151.94%+170.46%

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

PYTH (PYTH) vs VIRTUAL (VIRTUAL): 0.611 (Moderate positive)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

PYTH: Kraken
VIRTUAL: Kraken
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