PYTH PYTH / PYTH Crypto vs SFUND SFUND / PYTH 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 / PYTHSFUND / PYTH

📈 Performance Metrics

Start Price 1.004.42

End Price 1.001.56

Price Change % +0.00%-64.65%

Period High 1.008.85

Period Low 1.001.19

Price Range % 0.0%642.6%

🏆 All-Time Records

All-Time High 1.008.85

Days Since ATH 343 days151 days

Distance From ATH % +0.0%-82.4%

All-Time Low 1.001.19

Distance From ATL % +0.0%+31.0%

New ATHs Hit 0 times16 times

📌 Easy-to-Understand Stats

Avg Daily Change % 0.00%3.77%

Biggest Jump (1 Day) % +0.00+0.97

Biggest Drop (1 Day) % 0.00-2.17

Days Above Avg % 0.0%54.7%

Extreme Moves days 0 (0.0%)13 (3.8%)

Stability Score % 100.0%0.0%

Trend Strength % 0.0%54.5%

Recent Momentum (10-day) % +0.00%+13.59%

📊 Statistical Measures

Average Price 1.004.23

Median Price 1.004.37

Price Std Deviation 0.001.66

🚀 Returns & Growth

CAGR % +0.00%-66.93%

Annualized Return % +0.00%-66.93%

Total Return % +0.00%-64.65%

⚠️ Risk & Volatility

Daily Volatility % 0.00%6.28%

Annualized Volatility % 0.00%119.95%

Max Drawdown % -0.00%-86.53%

Sharpe Ratio 0.000-0.012

Sortino Ratio 0.000-0.012

Calmar Ratio 0.000-0.773

Ulcer Index 0.0045.95

📅 Daily Performance

Win Rate % 0.0%45.5%

Positive Days 0156

Negative Days 0187

Best Day % +0.00%+22.81%

Worst Day % 0.00%-50.19%

Avg Gain (Up Days) % +0.00%+4.30%

Avg Loss (Down Days) % -0.00%-3.72%

Profit Factor 0.000.96

🔥 Streaks & Patterns

Longest Win Streak days 05

Longest Loss Streak days 08

💹 Trading Metrics

Omega Ratio 0.0000.962

Expectancy % +0.00%-0.08%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +0.00%+25.78%

Worst Week % 0.00%-43.17%

Weekly Win Rate % 0.0%46.2%

📆 Monthly Performance

Best Month % +0.00%+45.66%

Worst Month % 0.00%-47.94%

Monthly Win Rate % 0.0%46.2%

🔧 Technical Indicators

RSI (14-period) 100.0069.39

Price vs 50-Day MA % +0.00%+8.66%

Price vs 200-Day MA % +0.00%-61.67%

💰 Volume Analysis

Avg Volume 12,566,5881,211,796

Total Volume 4,322,906,153416,857,839

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 SFUND (SFUND):	0.000 (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
SFUND: Bybit