KERNEL KERNEL / MDAO Crypto vs PYTH PYTH / USD Crypto

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

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Asset KERNEL / MDAOPYTH / USD
📈 Performance Metrics
Start Price 14.550.40
End Price 10.670.09
Price Change % -26.68%-77.36%
Period High 14.550.53
Period Low 3.140.09
Price Range % 363.8%518.7%
🏆 All-Time Records
All-Time High 14.550.53
Days Since ATH 185 days317 days
Distance From ATH % -26.7%-82.9%
All-Time Low 3.140.09
Distance From ATL % +240.1%+5.8%
New ATHs Hit 0 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.53%4.37%
Biggest Jump (1 Day) % +3.27+0.11
Biggest Drop (1 Day) % -4.09-0.09
Days Above Avg % 47.3%30.8%
Extreme Moves days 6 (3.2%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 44.3%49.9%
Recent Momentum (10-day) % +40.70%-25.14%
📊 Statistical Measures
Average Price 6.170.21
Median Price 6.030.16
Price Std Deviation 1.840.12
🚀 Returns & Growth
CAGR % -45.78%-79.42%
Annualized Return % -45.78%-79.42%
Total Return % -26.68%-77.36%
⚠️ Risk & Volatility
Daily Volatility % 9.77%7.91%
Annualized Volatility % 186.58%151.06%
Max Drawdown % -78.44%-83.84%
Sharpe Ratio 0.033-0.021
Sortino Ratio 0.031-0.027
Calmar Ratio -0.584-0.947
Ulcer Index 58.9564.28
📅 Daily Performance
Win Rate % 55.7%50.0%
Positive Days 103171
Negative Days 82171
Best Day % +47.12%+99.34%
Worst Day % -34.68%-32.57%
Avg Gain (Up Days) % +6.71%+4.41%
Avg Loss (Down Days) % -7.70%-4.75%
Profit Factor 1.090.93
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.0940.928
Expectancy % +0.32%-0.17%
Kelly Criterion % 0.62%0.00%
📅 Weekly Performance
Best Week % +54.91%+65.86%
Worst Week % -38.73%-27.08%
Weekly Win Rate % 57.1%51.9%
📆 Monthly Performance
Best Month % +50.69%+65.32%
Worst Month % -46.87%-31.62%
Monthly Win Rate % 50.0%38.5%
🔧 Technical Indicators
RSI (14-period) 83.1816.61
Price vs 50-Day MA % +88.20%-41.83%
Price vs 200-Day MA % N/A-32.70%

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): -0.057 (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

KERNEL: Kraken
PYTH: Kraken
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