PYTH PYTH / MDAO Crypto vs OL OL / 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 / MDAOOL / MDAO
📈 Performance Metrics
Start Price 6.231.50
End Price 6.521.55
Price Change % +4.76%+3.03%
Period High 12.718.05
Period Low 2.880.70
Price Range % 341.4%1,048.5%
🏆 All-Time Records
All-Time High 12.718.05
Days Since ATH 3 days320 days
Distance From ATH % -48.7%-80.8%
All-Time Low 2.880.70
Distance From ATL % +126.4%+120.9%
New ATHs Hit 16 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%8.32%
Biggest Jump (1 Day) % +2.88+1.78
Biggest Drop (1 Day) % -6.09-2.31
Days Above Avg % 48.0%42.7%
Extreme Moves days 13 (3.8%)19 (5.7%)
Stability Score % 0.0%0.0%
Trend Strength % 54.2%49.7%
Recent Momentum (10-day) % +58.62%+50.47%
📊 Statistical Measures
Average Price 5.372.05
Median Price 5.281.91
Price Std Deviation 1.341.12
🚀 Returns & Growth
CAGR % +5.07%+3.30%
Annualized Return % +5.07%+3.30%
Total Return % +4.76%+3.03%
⚠️ Risk & Volatility
Daily Volatility % 8.31%12.27%
Annualized Volatility % 158.71%234.45%
Max Drawdown % -66.53%-91.29%
Sharpe Ratio 0.0430.059
Sortino Ratio 0.0450.071
Calmar Ratio 0.0760.036
Ulcer Index 40.4874.57
📅 Daily Performance
Win Rate % 54.2%49.7%
Positive Days 186167
Negative Days 157169
Best Day % +58.79%+87.29%
Worst Day % -47.91%-49.71%
Avg Gain (Up Days) % +5.26%+8.82%
Avg Loss (Down Days) % -5.44%-7.27%
Profit Factor 1.141.20
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.1441.198
Expectancy % +0.36%+0.72%
Kelly Criterion % 1.26%1.13%
📅 Weekly Performance
Best Week % +37.96%+122.97%
Worst Week % -21.65%-33.46%
Weekly Win Rate % 59.6%41.2%
📆 Monthly Performance
Best Month % +36.97%+155.43%
Worst Month % -28.23%-47.91%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 62.6766.16
Price vs 50-Day MA % +31.33%+27.88%
Price vs 200-Day MA % +33.47%+1.38%

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 OL (OL): 0.687 (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
OL: Bybit