KERNEL KERNEL / GSWIFT Crypto vs PYTH PYTH / GSWIFT Crypto

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

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Asset KERNEL / GSWIFTPYTH / GSWIFT
📈 Performance Metrics
Start Price 25.547.67
End Price 60.9862.63
Price Change % +138.78%+716.29%
Period High 60.9862.63
Period Low 10.443.10
Price Range % 483.9%1,918.1%
🏆 All-Time Records
All-Time High 60.9862.63
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 10.443.10
Distance From ATL % +483.9%+1,918.1%
New ATHs Hit 18 times22 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.85%5.54%
Biggest Jump (1 Day) % +7.19+16.74
Biggest Drop (1 Day) % -7.81-3.33
Days Above Avg % 44.6%36.2%
Extreme Moves days 7 (3.8%)12 (3.5%)
Stability Score % 67.2%32.0%
Trend Strength % 51.9%55.6%
Recent Momentum (10-day) % +25.63%+38.98%
📊 Statistical Measures
Average Price 23.8213.35
Median Price 19.4310.78
Price Std Deviation 10.989.00
🚀 Returns & Growth
CAGR % +456.90%+840.09%
Annualized Return % +456.90%+840.09%
Total Return % +138.78%+716.29%
⚠️ Risk & Volatility
Daily Volatility % 7.81%9.08%
Annualized Volatility % 149.13%173.40%
Max Drawdown % -59.10%-66.53%
Sharpe Ratio 0.0990.108
Sortino Ratio 0.1090.135
Calmar Ratio 7.73012.627
Ulcer Index 31.9427.74
📅 Daily Performance
Win Rate % 51.9%55.6%
Positive Days 96190
Negative Days 89152
Best Day % +28.47%+96.03%
Worst Day % -30.58%-26.77%
Avg Gain (Up Days) % +6.56%+5.92%
Avg Loss (Down Days) % -5.47%-5.21%
Profit Factor 1.291.42
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 1.2951.422
Expectancy % +0.77%+0.98%
Kelly Criterion % 2.16%3.16%
📅 Weekly Performance
Best Week % +34.99%+65.04%
Worst Week % -39.96%-33.05%
Weekly Win Rate % 64.3%69.2%
📆 Monthly Performance
Best Month % +44.14%+94.65%
Worst Month % -47.05%-46.19%
Monthly Win Rate % 87.5%76.9%
🔧 Technical Indicators
RSI (14-period) 76.9284.46
Price vs 50-Day MA % +59.50%+97.41%
Price vs 200-Day MA % N/A+247.64%

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): 0.908 (Strong 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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