KERNEL KERNEL / PYTH Crypto vs AFC AFC / PYTH Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset KERNEL / PYTHAFC / PYTH
📈 Performance Metrics
Start Price 2.551.82
End Price 1.205.66
Price Change % -52.98%+210.94%
Period High 2.555.70
Period Low 0.831.70
Price Range % 206.3%235.2%
🏆 All-Time Records
All-Time High 2.555.70
Days Since ATH 208 days2 days
Distance From ATH % -53.0%-0.7%
All-Time Low 0.831.70
Distance From ATL % +44.0%+232.8%
New ATHs Hit 0 times32 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.22%4.52%
Biggest Jump (1 Day) % +0.39+1.40
Biggest Drop (1 Day) % -0.81-1.75
Days Above Avg % 33.0%53.8%
Extreme Moves days 11 (5.3%)9 (2.6%)
Stability Score % 0.0%0.0%
Trend Strength % 53.8%52.2%
Recent Momentum (10-day) % +10.59%+32.42%
📊 Statistical Measures
Average Price 1.273.09
Median Price 1.203.18
Price Std Deviation 0.270.75
🚀 Returns & Growth
CAGR % -73.40%+234.41%
Annualized Return % -73.40%+234.41%
Total Return % -52.98%+210.94%
⚠️ Risk & Volatility
Daily Volatility % 7.54%7.16%
Annualized Volatility % 143.99%136.75%
Max Drawdown % -67.35%-64.90%
Sharpe Ratio -0.0060.082
Sortino Ratio -0.0060.092
Calmar Ratio -1.0903.612
Ulcer Index 51.1529.14
📅 Daily Performance
Win Rate % 46.2%52.2%
Positive Days 96179
Negative Days 112164
Best Day % +31.90%+60.20%
Worst Day % -49.06%-49.76%
Avg Gain (Up Days) % +5.21%+4.86%
Avg Loss (Down Days) % -4.56%-4.07%
Profit Factor 0.981.30
🔥 Streaks & Patterns
Longest Win Streak days 85
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 0.9811.303
Expectancy % -0.05%+0.59%
Kelly Criterion % 0.00%2.98%
📅 Weekly Performance
Best Week % +48.95%+27.79%
Worst Week % -44.80%-41.44%
Weekly Win Rate % 45.2%48.1%
📆 Monthly Performance
Best Month % +51.20%+51.46%
Worst Month % -53.08%-39.12%
Monthly Win Rate % 62.5%61.5%
🔧 Technical Indicators
RSI (14-period) 63.7287.63
Price vs 50-Day MA % -0.59%+56.46%
Price vs 200-Day MA % -4.46%+70.75%
💰 Volume Analysis
Avg Volume 2,011,526859,970
Total Volume 420,408,856295,829,567

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 AFC (AFC): 0.004 (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
AFC: Bybit