PYTH PYTH / MDAO Crypto vs OBOL OBOL / 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 / MDAOOBOL / MDAO
📈 Performance Metrics
Start Price 7.9510.50
End Price 12.8910.40
Price Change % +62.05%-0.95%
Period High 13.1411.36
Period Low 2.882.06
Price Range % 356.3%452.5%
🏆 All-Time Records
All-Time High 13.1411.36
Days Since ATH 1 days173 days
Distance From ATH % -2.0%-8.5%
All-Time Low 2.882.06
Distance From ATL % +347.4%+405.7%
New ATHs Hit 6 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.97%8.44%
Biggest Jump (1 Day) % +3.03+2.50
Biggest Drop (1 Day) % -6.09-4.77
Days Above Avg % 46.5%47.8%
Extreme Moves days 13 (4.0%)12 (6.8%)
Stability Score % 0.0%0.0%
Trend Strength % 53.7%48.0%
Recent Momentum (10-day) % +10.28%+5.83%
📊 Statistical Measures
Average Price 5.344.88
Median Price 5.194.79
Price Std Deviation 1.481.97
🚀 Returns & Growth
CAGR % +71.68%-1.94%
Annualized Return % +71.68%-1.94%
Total Return % +62.05%-0.95%
⚠️ Risk & Volatility
Daily Volatility % 8.81%11.91%
Annualized Volatility % 168.23%227.63%
Max Drawdown % -64.03%-81.90%
Sharpe Ratio 0.0610.062
Sortino Ratio 0.0660.063
Calmar Ratio 1.119-0.024
Ulcer Index 38.0459.59
📅 Daily Performance
Win Rate % 53.7%52.0%
Positive Days 17592
Negative Days 15185
Best Day % +58.79%+39.54%
Worst Day % -47.91%-50.08%
Avg Gain (Up Days) % +5.79%+8.73%
Avg Loss (Down Days) % -5.56%-7.93%
Profit Factor 1.211.19
🔥 Streaks & Patterns
Longest Win Streak days 95
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.2071.193
Expectancy % +0.53%+0.73%
Kelly Criterion % 1.66%1.06%
📅 Weekly Performance
Best Week % +56.09%+45.06%
Worst Week % -21.65%-39.78%
Weekly Win Rate % 58.0%59.3%
📆 Monthly Performance
Best Month % +83.05%+81.67%
Worst Month % -28.11%-53.22%
Monthly Win Rate % 50.0%57.1%
🔧 Technical Indicators
RSI (14-period) 60.4359.99
Price vs 50-Day MA % +107.65%+115.33%
Price vs 200-Day MA % +151.94%N/A

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 OBOL (OBOL): 0.714 (Strong 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
OBOL: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures