PYTH PYTH / MDAO Crypto vs PRO PRO / 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 / MDAOPRO / MDAO
📈 Performance Metrics
Start Price 4.8217.69
End Price 6.4130.67
Price Change % +32.89%+73.37%
Period High 8.6136.45
Period Low 2.8817.56
Price Range % 198.8%107.5%
🏆 All-Time Records
All-Time High 8.6136.45
Days Since ATH 317 days3 days
Distance From ATH % -25.6%-15.9%
All-Time Low 2.8817.56
Distance From ATL % +122.4%+74.6%
New ATHs Hit 18 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.94%8.78%
Biggest Jump (1 Day) % +2.18+10.17
Biggest Drop (1 Day) % -1.82-9.64
Days Above Avg % 49.4%39.3%
Extreme Moves days 13 (3.8%)3 (11.1%)
Stability Score % 0.0%48.1%
Trend Strength % 54.8%59.3%
Recent Momentum (10-day) % +32.09%+18.15%
📊 Statistical Measures
Average Price 5.3025.42
Median Price 5.2725.03
Price Std Deviation 1.194.88
🚀 Returns & Growth
CAGR % +35.34%+169,937.48%
Annualized Return % +35.34%+169,937.48%
Total Return % +32.89%+73.37%
⚠️ Risk & Volatility
Daily Volatility % 7.42%13.19%
Annualized Volatility % 141.83%252.07%
Max Drawdown % -66.53%-36.63%
Sharpe Ratio 0.0470.220
Sortino Ratio 0.0500.256
Calmar Ratio 0.5314,639.429
Ulcer Index 40.2514.12
📅 Daily Performance
Win Rate % 54.8%59.3%
Positive Days 18816
Negative Days 15511
Best Day % +58.79%+40.13%
Worst Day % -32.55%-32.42%
Avg Gain (Up Days) % +4.92%+10.04%
Avg Loss (Down Days) % -5.19%-7.48%
Profit Factor 1.151.95
🔥 Streaks & Patterns
Longest Win Streak days 94
Longest Loss Streak days 82
💹 Trading Metrics
Omega Ratio 1.1491.953
Expectancy % +0.35%+2.90%
Kelly Criterion % 1.37%3.87%
📅 Weekly Performance
Best Week % +37.96%+26.95%
Worst Week % -21.65%-5.76%
Weekly Win Rate % 59.6%66.7%
📆 Monthly Performance
Best Month % +76.89%+6.54%
Worst Month % -28.23%-13.63%
Monthly Win Rate % 46.2%66.7%
🔧 Technical Indicators
RSI (14-period) 79.9373.36
Price vs 50-Day MA % +45.91%N/A
Price vs 200-Day MA % +34.56%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 PRO (PRO): 0.941 (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
PRO: Kraken
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