PYTH PYTH / EIGEN Crypto vs XUSD XUSD / EIGEN Crypto

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

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Asset PYTH / EIGENXUSD / EIGEN
📈 Performance Metrics
Start Price 0.130.83
End Price 0.131.77
Price Change % -3.80%+114.76%
Period High 0.181.96
Period Low 0.080.51
Price Range % 133.9%287.8%
🏆 All-Time Records
All-Time High 0.181.96
Days Since ATH 75 days2 days
Distance From ATH % -29.0%-9.8%
All-Time Low 0.080.51
Distance From ATL % +66.1%+249.9%
New ATHs Hit 14 times18 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.89%5.52%
Biggest Jump (1 Day) % +0.09+0.58
Biggest Drop (1 Day) % -0.04-0.41
Days Above Avg % 45.6%33.6%
Extreme Moves days 9 (2.6%)3 (1.3%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%53.2%
Recent Momentum (10-day) % -2.30%+7.32%
📊 Statistical Measures
Average Price 0.110.92
Median Price 0.110.82
Price Std Deviation 0.030.31
🚀 Returns & Growth
CAGR % -4.04%+224.51%
Annualized Return % -4.04%+224.51%
Total Return % -3.80%+114.76%
⚠️ Risk & Volatility
Daily Volatility % 7.48%9.88%
Annualized Volatility % 142.82%188.79%
Max Drawdown % -56.94%-65.00%
Sharpe Ratio 0.0300.073
Sortino Ratio 0.0410.099
Calmar Ratio -0.0713.454
Ulcer Index 34.3241.24
📅 Daily Performance
Win Rate % 49.6%53.2%
Positive Days 170126
Negative Days 173111
Best Day % +91.66%+107.28%
Worst Day % -23.61%-31.61%
Avg Gain (Up Days) % +4.21%+6.13%
Avg Loss (Down Days) % -3.70%-5.42%
Profit Factor 1.121.28
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.1191.284
Expectancy % +0.22%+0.72%
Kelly Criterion % 1.42%2.17%
📅 Weekly Performance
Best Week % +69.33%+25.53%
Worst Week % -25.75%-42.12%
Weekly Win Rate % 51.9%44.4%
📆 Monthly Performance
Best Month % +52.86%+56.00%
Worst Month % -41.70%-25.33%
Monthly Win Rate % 53.8%30.0%
🔧 Technical Indicators
RSI (14-period) 50.5863.56
Price vs 50-Day MA % +12.42%+49.94%
Price vs 200-Day MA % +21.10%+101.06%

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 XUSD (XUSD): 0.604 (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
XUSD: Binance