PYTH PYTH / XDC Crypto vs PYTH PYTH / XDC 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 / XDCPYTH / XDC
📈 Performance Metrics
Start Price 2.052.05
End Price 1.361.36
Price Change % -33.63%-33.63%
Period High 2.442.44
Period Low 1.331.33
Price Range % 82.5%82.5%
🏆 All-Time Records
All-Time High 2.442.44
Days Since ATH 69 days69 days
Distance From ATH % -44.2%-44.2%
All-Time Low 1.331.33
Distance From ATL % +1.9%+1.9%
New ATHs Hit 4 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.20%3.20%
Biggest Jump (1 Day) % +0.26+0.26
Biggest Drop (1 Day) % -0.37-0.37
Days Above Avg % 50.6%50.6%
Extreme Moves days 5 (6.4%)5 (6.4%)
Stability Score % 0.0%0.0%
Trend Strength % 53.8%53.8%
Recent Momentum (10-day) % -0.46%-0.46%
📊 Statistical Measures
Average Price 1.831.83
Median Price 1.871.87
Price Std Deviation 0.300.30
🚀 Returns & Growth
CAGR % -85.31%-85.31%
Annualized Return % -85.31%-85.31%
Total Return % -33.63%-33.63%
⚠️ Risk & Volatility
Daily Volatility % 4.51%4.51%
Annualized Volatility % 86.13%86.13%
Max Drawdown % -45.22%-45.22%
Sharpe Ratio -0.094-0.094
Sortino Ratio -0.092-0.092
Calmar Ratio -1.887-1.887
Ulcer Index 27.2427.24
📅 Daily Performance
Win Rate % 46.2%46.2%
Positive Days 3636
Negative Days 4242
Best Day % +13.84%+13.84%
Worst Day % -16.97%-16.97%
Avg Gain (Up Days) % +2.96%+2.96%
Avg Loss (Down Days) % -3.32%-3.32%
Profit Factor 0.760.76
🔥 Streaks & Patterns
Longest Win Streak days 33
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 0.7640.764
Expectancy % -0.42%-0.42%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +6.39%+6.39%
Worst Week % -17.39%-17.39%
Weekly Win Rate % 69.2%69.2%
📆 Monthly Performance
Best Month % +4.95%+4.95%
Worst Month % -24.04%-24.04%
Monthly Win Rate % 50.0%50.0%
🔧 Technical Indicators
RSI (14-period) 44.6944.69
Price vs 50-Day MA % -18.99%-18.99%

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