PYTH PYTH / MOG Crypto vs NUTS NUTS / MOG 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 / MOGNUTS / MOG

📈 Performance Metrics

Start Price 192,781.541,524.47

End Price 257,882.191,555.31

Price Change % +33.77%+2.02%

Period High 418,913.046,697.28

Period Low 62,758.98789.40

Price Range % 567.5%748.4%

🏆 All-Time Records

All-Time High 418,913.046,697.28

Days Since ATH 215 days215 days

Distance From ATH % -38.4%-76.8%

All-Time Low 62,758.98789.40

Distance From ATL % +310.9%+97.0%

New ATHs Hit 20 times11 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.86%7.86%

Biggest Jump (1 Day) % +123,936.39+2,075.59

Biggest Drop (1 Day) % -64,854.22-1,517.98

Days Above Avg % 45.6%35.0%

Extreme Moves days 8 (2.3%)11 (3.9%)

Stability Score % 100.0%99.6%

Trend Strength % 54.5%50.5%

Recent Momentum (10-day) % +3.88%+11.96%

📊 Statistical Measures

Average Price 197,878.482,446.72

Median Price 188,009.851,945.81

Price Std Deviation 81,973.041,280.21

🚀 Returns & Growth

CAGR % +36.29%+2.60%

Annualized Return % +36.29%+2.60%

Total Return % +33.77%+2.02%

⚠️ Risk & Volatility

Daily Volatility % 8.46%10.14%

Annualized Volatility % 161.71%193.78%

Max Drawdown % -85.02%-88.21%

Sharpe Ratio 0.0450.048

Sortino Ratio 0.0570.055

Calmar Ratio 0.4270.029

Ulcer Index 50.2858.30

📅 Daily Performance

Win Rate % 54.5%50.5%

Positive Days 187144

Negative Days 156141

Best Day % +103.46%+81.55%

Worst Day % -21.43%-23.97%

Avg Gain (Up Days) % +4.87%+7.51%

Avg Loss (Down Days) % -5.00%-6.68%

Profit Factor 1.171.15

🔥 Streaks & Patterns

Longest Win Streak days 108

Longest Loss Streak days 67

💹 Trading Metrics

Omega Ratio 1.1691.147

Expectancy % +0.38%+0.49%

Kelly Criterion % 1.58%0.97%

📅 Weekly Performance

Best Week % +90.32%+134.56%

Worst Week % -41.67%-50.30%

Weekly Win Rate % 65.4%55.8%

📆 Monthly Performance

Best Month % +146.78%+47.07%

Worst Month % -47.36%-30.28%

Monthly Win Rate % 46.2%36.4%

🔧 Technical Indicators

RSI (14-period) 56.5448.61

Price vs 50-Day MA % +9.03%+16.38%

Price vs 200-Day MA % +60.15%-32.57%

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 NUTS (NUTS):	0.857 (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
NUTS: Bybit