KERNEL KERNEL / EUL Crypto vs PYTH PYTH / EUL 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 KERNEL / EULPYTH / EUL
📈 Performance Metrics
Start Price 0.050.14
End Price 0.020.02
Price Change % -57.89%-86.99%
Period High 0.050.14
Period Low 0.010.01
Price Range % 553.9%1,895.9%
🏆 All-Time Records
All-Time High 0.050.14
Days Since ATH 215 days334 days
Distance From ATH % -57.9%-87.6%
All-Time Low 0.010.01
Distance From ATL % +175.4%+147.4%
New ATHs Hit 0 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.60%4.52%
Biggest Jump (1 Day) % +0.00+0.02
Biggest Drop (1 Day) % -0.01-0.02
Days Above Avg % 55.6%25.9%
Extreme Moves days 11 (5.1%)4 (1.2%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%55.7%
Recent Momentum (10-day) % -5.81%-8.52%
📊 Statistical Measures
Average Price 0.020.03
Median Price 0.020.02
Price Std Deviation 0.010.03
🚀 Returns & Growth
CAGR % -76.97%-88.59%
Annualized Return % -76.97%-88.59%
Total Return % -57.89%-86.99%
⚠️ Risk & Volatility
Daily Volatility % 7.30%8.54%
Annualized Volatility % 139.53%163.19%
Max Drawdown % -84.71%-94.99%
Sharpe Ratio -0.017-0.038
Sortino Ratio -0.017-0.057
Calmar Ratio -0.909-0.933
Ulcer Index 63.4380.72
📅 Daily Performance
Win Rate % 49.3%44.2%
Positive Days 106151
Negative Days 109191
Best Day % +18.38%+122.12%
Worst Day % -30.77%-19.45%
Avg Gain (Up Days) % +5.31%+4.65%
Avg Loss (Down Days) % -5.41%-4.25%
Profit Factor 0.950.86
🔥 Streaks & Patterns
Longest Win Streak days 912
Longest Loss Streak days 713
💹 Trading Metrics
Omega Ratio 0.9540.865
Expectancy % -0.12%-0.32%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +33.64%+58.79%
Worst Week % -44.88%-36.73%
Weekly Win Rate % 46.9%40.4%
📆 Monthly Performance
Best Month % +55.75%+81.63%
Worst Month % -56.35%-49.87%
Monthly Win Rate % 66.7%30.8%
🔧 Technical Indicators
RSI (14-period) 40.9343.71
Price vs 50-Day MA % +3.31%+3.36%
Price vs 200-Day MA % +16.97%+22.88%

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).

KERNEL (KERNEL) vs PYTH (PYTH): 0.684 (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

KERNEL: Kraken
PYTH: Kraken