PYTH PYTH / MDAO Crypto vs C98 C98 / 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 / MDAOC98 / MDAO
📈 Performance Metrics
Start Price 8.613.51
End Price 12.894.67
Price Change % +49.74%+33.01%
Period High 13.144.70
Period Low 2.880.96
Price Range % 356.3%391.2%
🏆 All-Time Records
All-Time High 13.144.70
Days Since ATH 1 days13 days
Distance From ATH % -2.0%-0.6%
All-Time Low 2.880.96
Distance From ATL % +347.4%+388.3%
New ATHs Hit 5 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.96%5.76%
Biggest Jump (1 Day) % +3.03+1.21
Biggest Drop (1 Day) % -6.09-2.39
Days Above Avg % 45.2%53.9%
Extreme Moves days 13 (3.9%)16 (4.8%)
Stability Score % 0.0%0.0%
Trend Strength % 53.8%52.6%
Recent Momentum (10-day) % +10.28%+8.92%
📊 Statistical Measures
Average Price 5.392.25
Median Price 5.212.30
Price Std Deviation 1.500.65
🚀 Returns & Growth
CAGR % +55.66%+36.71%
Annualized Return % +55.66%+36.71%
Total Return % +49.74%+33.01%
⚠️ Risk & Volatility
Daily Volatility % 8.77%8.54%
Annualized Volatility % 167.62%163.17%
Max Drawdown % -66.53%-77.61%
Sharpe Ratio 0.0570.054
Sortino Ratio 0.0620.056
Calmar Ratio 0.8370.473
Ulcer Index 41.3949.84
📅 Daily Performance
Win Rate % 53.8%52.7%
Positive Days 179175
Negative Days 154157
Best Day % +58.79%+46.09%
Worst Day % -47.91%-50.83%
Avg Gain (Up Days) % +5.75%+5.82%
Avg Loss (Down Days) % -5.60%-5.51%
Profit Factor 1.191.18
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1951.177
Expectancy % +0.50%+0.46%
Kelly Criterion % 1.57%1.44%
📅 Weekly Performance
Best Week % +56.09%+65.89%
Worst Week % -21.65%-22.95%
Weekly Win Rate % 56.9%60.8%
📆 Monthly Performance
Best Month % +83.05%+108.14%
Worst Month % -28.23%-31.31%
Monthly Win Rate % 50.0%41.7%
🔧 Technical Indicators
RSI (14-period) 60.4362.16
Price vs 50-Day MA % +107.65%+121.95%
Price vs 200-Day MA % +151.94%+134.50%

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 C98 (C98): 0.881 (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
C98: Kraken
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