PYTH PYTH / USD Crypto vs SOL SOL / USD Crypto

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

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Asset PYTH / USDSOL / USD
📈 Performance Metrics
Start Price 0.42237.51
End Price 0.09137.11
Price Change % -78.78%-42.27%
Period High 0.53261.51
Period Low 0.09105.38
Price Range % 518.7%148.2%
🏆 All-Time Records
All-Time High 0.53261.51
Days Since ATH 327 days281 days
Distance From ATH % -83.2%-47.6%
All-Time Low 0.09105.38
Distance From ATL % +3.7%+30.1%
New ATHs Hit 10 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.42%3.32%
Biggest Jump (1 Day) % +0.11+41.92
Biggest Drop (1 Day) % -0.09-41.89
Days Above Avg % 29.9%47.7%
Extreme Moves days 7 (2.0%)13 (3.8%)
Stability Score % 0.0%97.4%
Trend Strength % 50.4%50.4%
Recent Momentum (10-day) % -17.68%-19.30%
📊 Statistical Measures
Average Price 0.20180.20
Median Price 0.15176.93
Price Std Deviation 0.1137.30
🚀 Returns & Growth
CAGR % -80.79%-44.27%
Annualized Return % -80.79%-44.27%
Total Return % -78.78%-42.27%
⚠️ Risk & Volatility
Daily Volatility % 7.99%4.64%
Annualized Volatility % 152.70%88.66%
Max Drawdown % -83.84%-59.70%
Sharpe Ratio -0.023-0.011
Sortino Ratio -0.029-0.011
Calmar Ratio -0.964-0.742
Ulcer Index 65.7434.08
📅 Daily Performance
Win Rate % 49.4%49.6%
Positive Days 169170
Negative Days 173173
Best Day % +99.34%+24.41%
Worst Day % -32.57%-20.54%
Avg Gain (Up Days) % +4.51%+3.32%
Avg Loss (Down Days) % -4.77%-3.37%
Profit Factor 0.920.97
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.9240.969
Expectancy % -0.18%-0.05%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+38.03%
Worst Week % -27.08%-18.04%
Weekly Win Rate % 50.9%49.1%
📆 Monthly Performance
Best Month % +65.32%+23.41%
Worst Month % -31.62%-30.46%
Monthly Win Rate % 38.5%61.5%
🔧 Technical Indicators
RSI (14-period) 47.9331.56
Price vs 50-Day MA % -36.58%-32.12%
Price vs 200-Day MA % -33.30%-21.42%

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 SOL (SOL): 0.628 (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
SOL: Kraken