PYTH PYTH / CFX Crypto vs KERNEL KERNEL / CFX Crypto

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

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Asset PYTH / CFXKERNEL / CFX
📈 Performance Metrics
Start Price 2.694.80
End Price 1.041.13
Price Change % -61.21%-76.40%
Period High 2.944.80
Period Low 0.520.69
Price Range % 460.8%594.3%
🏆 All-Time Records
All-Time High 2.944.80
Days Since ATH 339 days194 days
Distance From ATH % -64.5%-76.4%
All-Time Low 0.520.69
Distance From ATL % +99.4%+63.8%
New ATHs Hit 2 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.11%5.55%
Biggest Jump (1 Day) % +0.50+0.48
Biggest Drop (1 Day) % -0.59-1.33
Days Above Avg % 53.5%37.4%
Extreme Moves days 7 (2.0%)11 (5.7%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%50.5%
Recent Momentum (10-day) % -2.42%-14.26%
📊 Statistical Measures
Average Price 1.571.52
Median Price 1.711.42
Price Std Deviation 0.540.56
🚀 Returns & Growth
CAGR % -63.50%-93.39%
Annualized Return % -63.50%-93.39%
Total Return % -61.21%-76.40%
⚠️ Risk & Volatility
Daily Volatility % 6.43%7.75%
Annualized Volatility % 122.90%148.13%
Max Drawdown % -82.17%-85.60%
Sharpe Ratio -0.012-0.052
Sortino Ratio -0.014-0.047
Calmar Ratio -0.773-1.091
Ulcer Index 50.1769.35
📅 Daily Performance
Win Rate % 49.3%49.5%
Positive Days 16996
Negative Days 17498
Best Day % +74.44%+23.47%
Worst Day % -47.11%-50.13%
Avg Gain (Up Days) % +3.26%+4.80%
Avg Loss (Down Days) % -3.32%-5.51%
Profit Factor 0.950.85
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 0.9530.855
Expectancy % -0.08%-0.40%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +48.76%+62.94%
Worst Week % -43.63%-49.08%
Weekly Win Rate % 48.1%37.9%
📆 Monthly Performance
Best Month % +67.93%+28.35%
Worst Month % -60.62%-53.40%
Monthly Win Rate % 46.2%37.5%
🔧 Technical Indicators
RSI (14-period) 49.0447.83
Price vs 50-Day MA % +2.63%-8.80%
Price vs 200-Day MA % -15.53%N/A

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): 0.809 (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

PYTH: Kraken
KERNEL: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures