PYTH PYTH / BRETT Crypto vs MATH MATH / 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 / BRETTMATH / USD
📈 Performance Metrics
Start Price 2.550.35
End Price 3.690.05
Price Change % +44.76%-86.33%
Period High 5.610.39
Period Low 1.710.05
Price Range % 227.5%747.8%
🏆 All-Time Records
All-Time High 5.610.39
Days Since ATH 259 days339 days
Distance From ATH % -34.2%-87.8%
All-Time Low 1.710.05
Distance From ATL % +115.7%+3.5%
New ATHs Hit 24 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.85%3.44%
Biggest Jump (1 Day) % +2.18+0.04
Biggest Drop (1 Day) % -0.82-0.04
Days Above Avg % 46.8%33.2%
Extreme Moves days 10 (2.9%)11 (3.2%)
Stability Score % 0.0%0.0%
Trend Strength % 52.5%55.6%
Recent Momentum (10-day) % -21.64%-4.38%
📊 Statistical Measures
Average Price 3.300.14
Median Price 3.090.12
Price Std Deviation 1.030.07
🚀 Returns & Growth
CAGR % +48.24%-88.05%
Annualized Return % +48.24%-88.05%
Total Return % +44.76%-86.33%
⚠️ Risk & Volatility
Daily Volatility % 7.12%4.85%
Annualized Volatility % 136.06%92.65%
Max Drawdown % -69.47%-88.21%
Sharpe Ratio 0.044-0.096
Sortino Ratio 0.060-0.102
Calmar Ratio 0.694-0.998
Ulcer Index 40.1166.45
📅 Daily Performance
Win Rate % 52.5%44.1%
Positive Days 180150
Negative Days 163190
Best Day % +92.93%+35.84%
Worst Day % -18.79%-25.52%
Avg Gain (Up Days) % +3.99%+3.36%
Avg Loss (Down Days) % -3.74%-3.49%
Profit Factor 1.180.76
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 1.1780.760
Expectancy % +0.32%-0.47%
Kelly Criterion % 2.12%0.00%
📅 Weekly Performance
Best Week % +72.33%+24.61%
Worst Week % -39.72%-19.41%
Weekly Win Rate % 53.8%40.4%
📆 Monthly Performance
Best Month % +78.18%+13.77%
Worst Month % -46.72%-27.02%
Monthly Win Rate % 46.2%30.8%
🔧 Technical Indicators
RSI (14-period) 21.3346.69
Price vs 50-Day MA % -12.91%-26.47%
Price vs 200-Day MA % +26.11%-52.02%
💰 Volume Analysis
Avg Volume 42,336,3272,308,589
Total Volume 14,563,696,472791,845,939

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): -0.116 (Weak)

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
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