PYTH PYTH / ACM 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 / ACMCOMP / USD
📈 Performance Metrics
Start Price 0.2646.64
End Price 0.1834.83
Price Change % -32.11%-25.32%
Period High 0.29120.50
Period Low 0.1131.29
Price Range % 172.3%285.1%
🏆 All-Time Records
All-Time High 0.29120.50
Days Since ATH 320 days317 days
Distance From ATH % -37.9%-71.1%
All-Time Low 0.1131.29
Distance From ATL % +69.2%+11.3%
New ATHs Hit 5 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.44%4.00%
Biggest Jump (1 Day) % +0.12+32.94
Biggest Drop (1 Day) % -0.05-20.85
Days Above Avg % 43.9%29.4%
Extreme Moves days 6 (1.7%)19 (5.5%)
Stability Score % 0.0%90.0%
Trend Strength % 53.1%49.9%
Recent Momentum (10-day) % -3.78%-17.22%
📊 Statistical Measures
Average Price 0.1853.64
Median Price 0.1846.70
Price Std Deviation 0.0417.33
🚀 Returns & Growth
CAGR % -33.78%-26.71%
Annualized Return % -33.78%-26.71%
Total Return % -32.11%-25.32%
⚠️ Risk & Volatility
Daily Volatility % 7.03%5.34%
Annualized Volatility % 134.23%102.00%
Max Drawdown % -63.27%-74.03%
Sharpe Ratio 0.0120.010
Sortino Ratio 0.0180.011
Calmar Ratio -0.534-0.361
Ulcer Index 39.5155.61
📅 Daily Performance
Win Rate % 46.9%49.9%
Positive Days 161170
Negative Days 182171
Best Day % +96.26%+37.62%
Worst Day % -24.42%-17.55%
Avg Gain (Up Days) % +3.98%+3.82%
Avg Loss (Down Days) % -3.36%-3.69%
Profit Factor 1.051.03
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.0471.029
Expectancy % +0.08%+0.05%
Kelly Criterion % 0.63%0.38%
📅 Weekly Performance
Best Week % +70.10%+41.75%
Worst Week % -20.55%-24.09%
Weekly Win Rate % 51.9%50.0%
📆 Monthly Performance
Best Month % +58.98%+54.37%
Worst Month % -24.69%-20.81%
Monthly Win Rate % 38.5%38.5%
🔧 Technical Indicators
RSI (14-period) 48.6432.62
Price vs 50-Day MA % -1.02%-16.48%
Price vs 200-Day MA % +14.73%-21.92%

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): 0.664 (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
COMP: Kraken
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