PYTH PYTH / USD Crypto vs COMP COMP / 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 / USDCOMP / USD
📈 Performance Metrics
Start Price 0.4264.64
End Price 0.0729.07
Price Change % -82.12%-55.03%
Period High 0.53120.50
Period Low 0.0729.07
Price Range % 611.5%314.5%
🏆 All-Time Records
All-Time High 0.53120.50
Days Since ATH 332 days331 days
Distance From ATH % -85.9%-75.9%
All-Time Low 0.0729.07
Distance From ATL % +0.0%+0.0%
New ATHs Hit 10 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.53%3.89%
Biggest Jump (1 Day) % +0.11+32.94
Biggest Drop (1 Day) % -0.09-20.85
Days Above Avg % 29.4%29.4%
Extreme Moves days 6 (1.7%)19 (5.5%)
Stability Score % 0.0%90.2%
Trend Strength % 51.0%50.4%
Recent Momentum (10-day) % -14.68%-5.54%
📊 Statistical Measures
Average Price 0.1952.88
Median Price 0.1545.94
Price Std Deviation 0.1117.83
🚀 Returns & Growth
CAGR % -83.99%-57.27%
Annualized Return % -83.99%-57.27%
Total Return % -82.12%-55.03%
⚠️ Risk & Volatility
Daily Volatility % 8.01%5.16%
Annualized Volatility % 153.10%98.61%
Max Drawdown % -85.95%-75.88%
Sharpe Ratio -0.029-0.020
Sortino Ratio -0.036-0.021
Calmar Ratio -0.977-0.755
Ulcer Index 66.5457.53
📅 Daily Performance
Win Rate % 48.8%49.3%
Positive Days 167168
Negative Days 175173
Best Day % +99.34%+37.62%
Worst Day % -32.57%-17.55%
Avg Gain (Up Days) % +4.57%+3.57%
Avg Loss (Down Days) % -4.81%-3.67%
Profit Factor 0.910.94
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 0.9060.944
Expectancy % -0.23%-0.10%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+41.75%
Worst Week % -27.08%-24.09%
Weekly Win Rate % 51.9%48.1%
📆 Monthly Performance
Best Month % +65.32%+11.39%
Worst Month % -32.02%-20.81%
Monthly Win Rate % 38.5%38.5%
🔧 Technical Indicators
RSI (14-period) 20.2524.56
Price vs 50-Day MA % -43.18%-24.68%
Price vs 200-Day MA % -43.54%-33.84%

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 COMP (COMP): 0.909 (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
COMP: Kraken