PYTH PYTH / PROVE Crypto vs EUL EUL / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / PROVEEUL / USD
📈 Performance Metrics
Start Price 0.223.95
End Price 0.164.14
Price Change % -28.48%+4.76%
Period High 0.2215.47
Period Low 0.152.88
Price Range % 42.2%437.8%
🏆 All-Time Records
All-Time High 0.2215.47
Days Since ATH 41 days123 days
Distance From ATH % -28.5%-73.3%
All-Time Low 0.152.88
Distance From ATL % +1.6%+43.8%
New ATHs Hit 1 times29 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.16%4.12%
Biggest Jump (1 Day) % +0.02+1.67
Biggest Drop (1 Day) % -0.04-1.68
Days Above Avg % 50.0%50.3%
Extreme Moves days 3 (4.1%)19 (5.5%)
Stability Score % 0.0%20.5%
Trend Strength % 52.1%47.5%
Recent Momentum (10-day) % -5.33%-5.87%
📊 Statistical Measures
Average Price 0.187.47
Median Price 0.187.54
Price Std Deviation 0.022.97
🚀 Returns & Growth
CAGR % -81.28%+5.07%
Annualized Return % -81.28%+5.07%
Total Return % -28.48%+4.76%
⚠️ Risk & Volatility
Daily Volatility % 4.51%5.93%
Annualized Volatility % 86.21%113.38%
Max Drawdown % -29.68%-75.34%
Sharpe Ratio -0.0780.032
Sortino Ratio -0.0700.035
Calmar Ratio -2.7380.067
Ulcer Index 19.3429.55
📅 Daily Performance
Win Rate % 47.9%47.8%
Positive Days 35163
Negative Days 38178
Best Day % +13.23%+23.32%
Worst Day % -20.41%-20.27%
Avg Gain (Up Days) % +2.82%+4.79%
Avg Loss (Down Days) % -3.28%-4.02%
Profit Factor 0.791.09
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 612
💹 Trading Metrics
Omega Ratio 0.7941.090
Expectancy % -0.35%+0.19%
Kelly Criterion % 0.00%0.99%
📅 Weekly Performance
Best Week % +12.83%+53.64%
Worst Week % -12.10%-35.91%
Weekly Win Rate % 23.1%55.8%
📆 Monthly Performance
Best Month % +14.76%+38.86%
Worst Month % -12.10%-48.36%
Monthly Win Rate % 20.0%61.5%
🔧 Technical Indicators
RSI (14-period) 32.0944.87
Price vs 50-Day MA % -12.38%-38.37%
Price vs 200-Day MA % N/A-55.33%

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 EUL (EUL): 0.734 (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
EUL: Kraken
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