KERNEL KERNEL / MEW Crypto vs PYTH PYTH / MEW Crypto

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

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Asset KERNEL / MEWPYTH / MEW
📈 Performance Metrics
Start Price 142.1353.84
End Price 69.2460.09
Price Change % -51.29%+11.62%
Period High 142.1391.37
Period Low 36.5832.84
Price Range % 288.6%178.3%
🏆 All-Time Records
All-Time High 142.1391.37
Days Since ATH 218 days265 days
Distance From ATH % -51.3%-34.2%
All-Time Low 36.5832.84
Distance From ATL % +89.3%+83.0%
New ATHs Hit 0 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.94%2.93%
Biggest Jump (1 Day) % +14.74+36.42
Biggest Drop (1 Day) % -38.33-13.84
Days Above Avg % 58.9%58.1%
Extreme Moves days 12 (5.5%)7 (2.0%)
Stability Score % 89.0%88.5%
Trend Strength % 57.8%51.0%
Recent Momentum (10-day) % -4.84%-2.67%
📊 Statistical Measures
Average Price 61.0054.86
Median Price 63.8656.34
Price Std Deviation 15.6913.94
🚀 Returns & Growth
CAGR % -70.01%+12.41%
Annualized Return % -70.01%+12.41%
Total Return % -51.29%+11.62%
⚠️ Risk & Volatility
Daily Volatility % 6.69%6.32%
Annualized Volatility % 127.83%120.78%
Max Drawdown % -74.26%-64.06%
Sharpe Ratio -0.0160.030
Sortino Ratio -0.0180.044
Calmar Ratio -0.9430.194
Ulcer Index 58.1440.10
📅 Daily Performance
Win Rate % 41.9%51.2%
Positive Days 91175
Negative Days 126167
Best Day % +33.71%+91.20%
Worst Day % -26.97%-18.56%
Avg Gain (Up Days) % +5.55%+3.07%
Avg Loss (Down Days) % -4.19%-2.82%
Profit Factor 0.961.14
🔥 Streaks & Patterns
Longest Win Streak days 48
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 0.9551.138
Expectancy % -0.11%+0.19%
Kelly Criterion % 0.00%2.19%
📅 Weekly Performance
Best Week % +60.01%+64.56%
Worst Week % -41.10%-29.34%
Weekly Win Rate % 48.5%59.6%
📆 Monthly Performance
Best Month % +42.17%+73.54%
Worst Month % -56.36%-35.64%
Monthly Win Rate % 55.6%61.5%
🔧 Technical Indicators
RSI (14-period) 44.3539.22
Price vs 50-Day MA % -4.75%-4.02%
Price vs 200-Day MA % +16.62%+25.13%

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): 0.665 (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
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