PYTH PYTH / GSWIFT Crypto vs KERNEL KERNEL / USD Crypto

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

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Asset PYTH / GSWIFTKERNEL / USD
📈 Performance Metrics
Start Price 3.430.33
End Price 62.630.08
Price Change % +1,728.43%-74.81%
Period High 62.630.33
Period Low 3.100.08
Price Range % 1,918.1%316.7%
🏆 All-Time Records
All-Time High 62.630.33
Days Since ATH 0 days211 days
Distance From ATH % +0.0%-74.8%
All-Time Low 3.100.08
Distance From ATL % +1,918.1%+5.0%
New ATHs Hit 38 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%6.04%
Biggest Jump (1 Day) % +16.74+0.04
Biggest Drop (1 Day) % -3.33-0.10
Days Above Avg % 36.8%52.8%
Extreme Moves days 10 (3.2%)10 (4.7%)
Stability Score % 35.0%0.0%
Trend Strength % 56.2%48.3%
Recent Momentum (10-day) % +38.98%-3.48%
📊 Statistical Measures
Average Price 13.810.16
Median Price 11.130.17
Price Std Deviation 9.170.05
🚀 Returns & Growth
CAGR % +2,739.11%-90.79%
Annualized Return % +2,739.11%-90.79%
Total Return % +1,728.43%-74.81%
⚠️ Risk & Volatility
Daily Volatility % 8.98%7.65%
Annualized Volatility % 171.63%146.16%
Max Drawdown % -32.87%-76.00%
Sharpe Ratio 0.141-0.044
Sortino Ratio 0.193-0.040
Calmar Ratio 83.330-1.195
Ulcer Index 15.3252.96
📅 Daily Performance
Win Rate % 56.2%51.2%
Positive Days 178107
Negative Days 139102
Best Day % +96.03%+25.58%
Worst Day % -26.77%-42.04%
Avg Gain (Up Days) % +6.00%+5.20%
Avg Loss (Down Days) % -4.80%-6.15%
Profit Factor 1.600.89
🔥 Streaks & Patterns
Longest Win Streak days 69
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.6010.886
Expectancy % +1.26%-0.34%
Kelly Criterion % 4.39%0.00%
📅 Weekly Performance
Best Week % +65.04%+45.82%
Worst Week % -11.35%-38.99%
Weekly Win Rate % 72.9%46.9%
📆 Monthly Performance
Best Month % +94.65%+75.84%
Worst Month % -5.72%-46.69%
Monthly Win Rate % 83.3%55.6%
🔧 Technical Indicators
RSI (14-period) 84.4648.00
Price vs 50-Day MA % +97.41%-37.65%
Price vs 200-Day MA % +247.64%-47.46%

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): 0.078 (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

PYTH: Kraken
KERNEL: Kraken
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