CPOOL CPOOL / MDAO Crypto vs PYTH PYTH / MDAO Crypto

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

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Asset CPOOL / MDAOPYTH / MDAO
📈 Performance Metrics
Start Price 3.495.53
End Price 5.989.75
Price Change % +71.32%+76.39%
Period High 9.049.75
Period Low 2.932.88
Price Range % 208.9%238.7%
🏆 All-Time Records
All-Time High 9.049.75
Days Since ATH 252 days0 days
Distance From ATH % -33.9%+0.0%
All-Time Low 2.932.88
Distance From ATL % +104.3%+238.7%
New ATHs Hit 15 times19 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.61%5.06%
Biggest Jump (1 Day) % +2.06+2.88
Biggest Drop (1 Day) % -1.67-1.82
Days Above Avg % 45.9%49.1%
Extreme Moves days 18 (5.2%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 46.9%54.8%
Recent Momentum (10-day) % +16.28%+53.55%
📊 Statistical Measures
Average Price 5.315.34
Median Price 5.145.28
Price Std Deviation 1.351.25
🚀 Returns & Growth
CAGR % +77.34%+82.93%
Annualized Return % +77.34%+82.93%
Total Return % +71.32%+76.39%
⚠️ Risk & Volatility
Daily Volatility % 9.04%7.77%
Annualized Volatility % 172.77%148.54%
Max Drawdown % -67.63%-66.53%
Sharpe Ratio 0.0610.058
Sortino Ratio 0.0730.064
Calmar Ratio 1.1441.247
Ulcer Index 40.6740.23
📅 Daily Performance
Win Rate % 46.9%54.8%
Positive Days 161188
Negative Days 182155
Best Day % +54.33%+58.79%
Worst Day % -34.26%-32.55%
Avg Gain (Up Days) % +7.68%+5.10%
Avg Loss (Down Days) % -5.75%-5.19%
Profit Factor 1.181.19
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 98
💹 Trading Metrics
Omega Ratio 1.1811.193
Expectancy % +0.55%+0.45%
Kelly Criterion % 1.25%1.71%
📅 Weekly Performance
Best Week % +75.33%+53.34%
Worst Week % -37.43%-21.65%
Weekly Win Rate % 55.8%59.6%
📆 Monthly Performance
Best Month % +75.68%+54.20%
Worst Month % -21.67%-28.23%
Monthly Win Rate % 61.5%53.8%
🔧 Technical Indicators
RSI (14-period) 71.9485.23
Price vs 50-Day MA % +57.58%+108.39%
Price vs 200-Day MA % +20.26%+102.47%

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).

CPOOL (CPOOL) vs PYTH (PYTH): 0.445 (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

CPOOL: Kraken
PYTH: Kraken
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