PYTH PYTH / USD Crypto vs KERNEL KERNEL / USD 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 PYTH / USDKERNEL / USD
📈 Performance Metrics
Start Price 0.490.33
End Price 0.060.06
Price Change % -88.02%-80.73%
Period High 0.490.33
Period Low 0.060.06
Price Range % 734.7%418.8%
🏆 All-Time Records
All-Time High 0.490.33
Days Since ATH 343 days224 days
Distance From ATH % -88.0%-80.7%
All-Time Low 0.060.06
Distance From ATL % +0.0%+0.0%
New ATHs Hit 0 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.61%5.99%
Biggest Jump (1 Day) % +0.11+0.04
Biggest Drop (1 Day) % -0.06-0.10
Days Above Avg % 30.5%51.1%
Extreme Moves days 6 (1.7%)11 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 53.4%49.1%
Recent Momentum (10-day) % -10.63%-14.25%
📊 Statistical Measures
Average Price 0.170.16
Median Price 0.140.16
Price Std Deviation 0.080.05
🚀 Returns & Growth
CAGR % -89.54%-93.16%
Annualized Return % -89.54%-93.16%
Total Return % -88.02%-80.73%
⚠️ Risk & Volatility
Daily Volatility % 7.94%7.50%
Annualized Volatility % 151.65%143.20%
Max Drawdown % -88.02%-80.73%
Sharpe Ratio -0.045-0.058
Sortino Ratio -0.057-0.052
Calmar Ratio -1.017-1.154
Ulcer Index 68.4454.66
📅 Daily Performance
Win Rate % 46.5%50.5%
Positive Days 159112
Negative Days 183110
Best Day % +99.34%+25.58%
Worst Day % -32.57%-42.04%
Avg Gain (Up Days) % +4.62%+5.08%
Avg Loss (Down Days) % -4.67%-6.05%
Profit Factor 0.860.85
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 0.8580.855
Expectancy % -0.35%-0.44%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+45.82%
Worst Week % -27.08%-38.99%
Weekly Win Rate % 46.2%41.2%
📆 Monthly Performance
Best Month % +65.32%+75.84%
Worst Month % -32.91%-46.69%
Monthly Win Rate % 30.8%44.4%
🔧 Technical Indicators
RSI (14-period) 28.2324.90
Price vs 50-Day MA % -32.75%-37.02%
Price vs 200-Day MA % -51.70%-58.28%

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): 0.735 (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