PYTH PYTH / USD Crypto vs MATH MATH / 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 / USDMATH / USD
📈 Performance Metrics
Start Price 0.420.29
End Price 0.070.05
Price Change % -82.12%-83.64%
Period High 0.530.39
Period Low 0.070.05
Price Range % 611.5%715.9%
🏆 All-Time Records
All-Time High 0.530.39
Days Since ATH 332 days326 days
Distance From ATH % -85.9%-87.7%
All-Time Low 0.070.05
Distance From ATL % +0.0%+0.0%
New ATHs Hit 10 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.53%3.35%
Biggest Jump (1 Day) % +0.11+0.04
Biggest Drop (1 Day) % -0.09-0.04
Days Above Avg % 29.4%31.8%
Extreme Moves days 6 (1.7%)10 (2.9%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%55.6%
Recent Momentum (10-day) % -14.68%-7.65%
📊 Statistical Measures
Average Price 0.190.15
Median Price 0.150.12
Price Std Deviation 0.110.07
🚀 Returns & Growth
CAGR % -83.99%-85.52%
Annualized Return % -83.99%-85.52%
Total Return % -82.12%-83.64%
⚠️ Risk & Volatility
Daily Volatility % 8.01%4.81%
Annualized Volatility % 153.10%91.90%
Max Drawdown % -85.95%-87.74%
Sharpe Ratio -0.029-0.086
Sortino Ratio -0.036-0.093
Calmar Ratio -0.977-0.975
Ulcer Index 66.5464.25
📅 Daily Performance
Win Rate % 48.8%44.1%
Positive Days 167150
Negative Days 175190
Best Day % +99.34%+35.84%
Worst Day % -32.57%-25.52%
Avg Gain (Up Days) % +4.57%+3.34%
Avg Loss (Down Days) % -4.81%-3.39%
Profit Factor 0.910.78
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 68
💹 Trading Metrics
Omega Ratio 0.9060.780
Expectancy % -0.23%-0.42%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+24.61%
Worst Week % -27.08%-19.41%
Weekly Win Rate % 51.9%40.4%
📆 Monthly Performance
Best Month % +65.32%+13.77%
Worst Month % -32.02%-25.55%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 20.2528.69
Price vs 50-Day MA % -43.18%-37.57%
Price vs 200-Day MA % -43.54%-53.79%

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 MATH (MATH): 0.957 (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
MATH: Coinbase