PYTH PYTH / EIGEN Crypto vs KERNEL KERNEL / EIGEN Crypto

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

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Asset PYTH / EIGENKERNEL / EIGEN
📈 Performance Metrics
Start Price 0.140.42
End Price 0.130.15
Price Change % -7.05%-63.79%
Period High 0.180.42
Period Low 0.080.08
Price Range % 133.9%399.2%
🏆 All-Time Records
All-Time High 0.180.42
Days Since ATH 67 days203 days
Distance From ATH % -27.9%-63.8%
All-Time Low 0.080.08
Distance From ATL % +68.6%+80.8%
New ATHs Hit 12 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.93%6.24%
Biggest Jump (1 Day) % +0.09+0.04
Biggest Drop (1 Day) % -0.04-0.11
Days Above Avg % 45.6%42.6%
Extreme Moves days 9 (2.6%)12 (5.9%)
Stability Score % 0.0%0.0%
Trend Strength % 50.1%52.7%
Recent Momentum (10-day) % +0.12%+4.46%
📊 Statistical Measures
Average Price 0.110.14
Median Price 0.110.13
Price Std Deviation 0.030.04
🚀 Returns & Growth
CAGR % -7.49%-83.91%
Annualized Return % -7.49%-83.91%
Total Return % -7.05%-63.79%
⚠️ Risk & Volatility
Daily Volatility % 7.50%7.79%
Annualized Volatility % 143.33%148.83%
Max Drawdown % -56.94%-79.97%
Sharpe Ratio 0.028-0.025
Sortino Ratio 0.039-0.025
Calmar Ratio -0.131-1.049
Ulcer Index 34.5667.92
📅 Daily Performance
Win Rate % 49.7%47.0%
Positive Days 17095
Negative Days 172107
Best Day % +91.66%+28.57%
Worst Day % -23.61%-27.12%
Avg Gain (Up Days) % +4.23%+5.94%
Avg Loss (Down Days) % -3.76%-5.64%
Profit Factor 1.110.94
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.1130.935
Expectancy % +0.21%-0.19%
Kelly Criterion % 1.35%0.00%
📅 Weekly Performance
Best Week % +69.33%+52.02%
Worst Week % -25.75%-41.84%
Weekly Win Rate % 51.9%35.5%
📆 Monthly Performance
Best Month % +52.86%+60.52%
Worst Month % -41.70%-54.26%
Monthly Win Rate % 53.8%25.0%
🔧 Technical Indicators
RSI (14-period) 48.4659.10
Price vs 50-Day MA % +19.66%+16.99%
Price vs 200-Day MA % +21.14%+13.21%

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 KERNEL (KERNEL): 0.688 (Moderate 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
KERNEL: Kraken