EIGEN EIGEN / PYTH Crypto vs DF DF / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset EIGEN / PYTHDF / PYTH
📈 Performance Metrics
Start Price 7.170.09
End Price 8.180.18
Price Change % +14.08%+101.84%
Period High 12.920.62
Period Low 5.430.08
Price Range % 138.0%687.7%
🏆 All-Time Records
All-Time High 12.920.62
Days Since ATH 126 days215 days
Distance From ATH % -36.7%-71.7%
All-Time Low 5.430.08
Distance From ATL % +50.7%+122.8%
New ATHs Hit 10 times25 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.02%5.39%
Biggest Jump (1 Day) % +1.76+0.10
Biggest Drop (1 Day) % -5.06-0.19
Days Above Avg % 52.3%44.5%
Extreme Moves days 21 (6.1%)13 (3.8%)
Stability Score % 30.5%0.0%
Trend Strength % 49.3%50.7%
Recent Momentum (10-day) % -14.23%-1.71%
📊 Statistical Measures
Average Price 9.190.28
Median Price 9.450.26
Price Std Deviation 2.040.12
🚀 Returns & Growth
CAGR % +15.05%+111.14%
Annualized Return % +15.05%+111.14%
Total Return % +14.08%+101.84%
⚠️ Risk & Volatility
Daily Volatility % 6.38%7.94%
Annualized Volatility % 121.97%151.68%
Max Drawdown % -57.25%-79.85%
Sharpe Ratio 0.0400.067
Sortino Ratio 0.0410.071
Calmar Ratio 0.2631.392
Ulcer Index 29.1443.43
📅 Daily Performance
Win Rate % 49.3%50.7%
Positive Days 169174
Negative Days 174169
Best Day % +30.91%+54.96%
Worst Day % -47.82%-48.09%
Avg Gain (Up Days) % +4.38%+5.44%
Avg Loss (Down Days) % -3.75%-4.53%
Profit Factor 1.131.24
🔥 Streaks & Patterns
Longest Win Streak days 88
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.1351.237
Expectancy % +0.26%+0.53%
Kelly Criterion % 1.56%2.15%
📅 Weekly Performance
Best Week % +34.67%+98.16%
Worst Week % -40.95%-40.50%
Weekly Win Rate % 46.2%46.2%
📆 Monthly Performance
Best Month % +71.52%+204.78%
Worst Month % -34.58%-42.57%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 44.0459.69
Price vs 50-Day MA % -15.79%+4.11%
Price vs 200-Day MA % -15.45%-38.73%
💰 Volume Analysis
Avg Volume 1,491,865312,061,402
Total Volume 513,201,506107,349,122,301

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).

EIGEN (EIGEN) vs DF (DF): -0.155 (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

EIGEN: Kraken
DF: Binance