PYTH PYTH / MOG Crypto vs SUPER SUPER / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

Settings

🤖 AI Analysis

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / MOGSUPER / USD

📈 Performance Metrics

Start Price 169,306.011.32

End Price 248,442.320.25

Price Change % +46.74%-81.08%

Period High 418,913.042.17

Period Low 62,758.980.25

Price Range % 567.5%770.5%

🏆 All-Time Records

All-Time High 418,913.042.17

Days Since ATH 203 days315 days

Distance From ATH % -40.7%-88.5%

All-Time Low 62,758.980.25

Distance From ATL % +295.9%+0.0%

New ATHs Hit 22 times11 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.93%4.86%

Biggest Jump (1 Day) % +123,936.39+0.24

Biggest Drop (1 Day) % -64,854.22-0.22

Days Above Avg % 43.6%29.1%

Extreme Moves days 9 (2.6%)17 (5.0%)

Stability Score % 100.0%0.0%

Trend Strength % 53.9%55.1%

Recent Momentum (10-day) % +10.11%-29.01%

📊 Statistical Measures

Average Price 194,874.210.80

Median Price 180,041.850.68

Price Std Deviation 81,162.220.39

🚀 Returns & Growth

CAGR % +50.40%-83.00%

Annualized Return % +50.40%-83.00%

Total Return % +46.74%-81.08%

⚠️ Risk & Volatility

Daily Volatility % 8.53%6.50%

Annualized Volatility % 163.01%124.18%

Max Drawdown % -85.02%-88.51%

Sharpe Ratio 0.049-0.041

Sortino Ratio 0.061-0.043

Calmar Ratio 0.593-0.938

Ulcer Index 49.8364.83

📅 Daily Performance

Win Rate % 54.1%44.7%

Positive Days 185153

Negative Days 157189

Best Day % +103.46%+29.10%

Worst Day % -21.43%-36.65%

Avg Gain (Up Days) % +5.01%+5.06%

Avg Loss (Down Days) % -5.00%-4.58%

Profit Factor 1.180.89

🔥 Streaks & Patterns

Longest Win Streak days 106

Longest Loss Streak days 67

💹 Trading Metrics

Omega Ratio 1.1830.893

Expectancy % +0.42%-0.27%

Kelly Criterion % 1.67%0.00%

📅 Weekly Performance

Best Week % +90.32%+48.71%

Worst Week % -41.67%-26.39%

Weekly Win Rate % 62.3%41.5%

📆 Monthly Performance

Best Month % +146.78%+28.18%

Worst Month % -47.36%-34.92%

Monthly Win Rate % 53.8%30.8%

🔧 Technical Indicators

RSI (14-period) 54.2032.11

Price vs 50-Day MA % +14.54%-49.30%

Price vs 200-Day MA % +52.25%-61.20%

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 SUPER (SUPER):	-0.336 (Moderate negative)

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
SUPER: Kraken