PYTH PYTH / MATH Crypto vs PYTH PYTH / MATH 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 / MATHPYTH / MATH
📈 Performance Metrics
Start Price 1.321.32
End Price 1.451.45
Price Change % +9.55%+9.55%
Period High 2.202.20
Period Low 0.870.87
Price Range % 154.7%154.7%
🏆 All-Time Records
All-Time High 2.202.20
Days Since ATH 79 days79 days
Distance From ATH % -34.4%-34.4%
All-Time Low 0.870.87
Distance From ATL % +67.2%+67.2%
New ATHs Hit 8 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.02%4.02%
Biggest Jump (1 Day) % +1.08+1.08
Biggest Drop (1 Day) % -0.35-0.35
Days Above Avg % 40.5%40.5%
Extreme Moves days 5 (1.5%)5 (1.5%)
Stability Score % 0.0%0.0%
Trend Strength % 51.2%51.2%
Recent Momentum (10-day) % -2.15%-2.15%
📊 Statistical Measures
Average Price 1.291.29
Median Price 1.191.19
Price Std Deviation 0.260.26
🚀 Returns & Growth
CAGR % +10.22%+10.22%
Annualized Return % +10.22%+10.22%
Total Return % +9.55%+9.55%
⚠️ Risk & Volatility
Daily Volatility % 7.33%7.33%
Annualized Volatility % 140.12%140.12%
Max Drawdown % -46.18%-46.18%
Sharpe Ratio 0.0330.033
Sortino Ratio 0.0470.047
Calmar Ratio 0.2210.221
Ulcer Index 27.2827.28
📅 Daily Performance
Win Rate % 51.2%51.2%
Positive Days 175175
Negative Days 167167
Best Day % +96.29%+96.29%
Worst Day % -25.23%-25.23%
Avg Gain (Up Days) % +4.18%+4.18%
Avg Loss (Down Days) % -3.88%-3.88%
Profit Factor 1.131.13
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.1301.130
Expectancy % +0.25%+0.25%
Kelly Criterion % 1.51%1.51%
📅 Weekly Performance
Best Week % +64.09%+64.09%
Worst Week % -16.53%-16.53%
Weekly Win Rate % 55.8%55.8%
📆 Monthly Performance
Best Month % +60.98%+60.98%
Worst Month % -17.88%-17.88%
Monthly Win Rate % 53.8%53.8%
🔧 Technical Indicators
RSI (14-period) 46.9646.96
Price vs 50-Day MA % -11.41%-11.41%
Price vs 200-Day MA % +8.93%+8.93%

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 PYTH (PYTH): 1.000 (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
PYTH: Kraken
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