PYTH PYTH / DATA 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

Asset PYTH / DATAKERNEL / USD
📈 Performance Metrics
Start Price 10.920.33
End Price 11.670.22
Price Change % +6.87%-32.69%
Period High 13.280.33
Period Low 5.250.10
Price Range % 152.8%243.2%
🏆 All-Time Records
All-Time High 13.280.33
Days Since ATH 42 days178 days
Distance From ATH % -12.1%-32.7%
All-Time Low 5.250.10
Distance From ATL % +122.3%+131.0%
New ATHs Hit 5 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.03%5.88%
Biggest Jump (1 Day) % +6.44+0.04
Biggest Drop (1 Day) % -1.68-0.10
Days Above Avg % 42.0%56.4%
Extreme Moves days 7 (2.0%)9 (5.1%)
Stability Score % 22.7%0.0%
Trend Strength % 45.0%47.8%
Recent Momentum (10-day) % +3.94%-1.27%
📊 Statistical Measures
Average Price 8.700.18
Median Price 8.510.18
Price Std Deviation 1.380.04
🚀 Returns & Growth
CAGR % +7.35%-55.59%
Annualized Return % +7.35%-55.59%
Total Return % +6.87%-32.69%
⚠️ Risk & Volatility
Daily Volatility % 6.73%7.28%
Annualized Volatility % 128.54%139.00%
Max Drawdown % -55.05%-70.86%
Sharpe Ratio 0.0300.006
Sortino Ratio 0.0470.006
Calmar Ratio 0.133-0.785
Ulcer Index 28.6548.97
📅 Daily Performance
Win Rate % 45.0%52.0%
Positive Days 15492
Negative Days 18885
Best Day % +94.28%+25.58%
Worst Day % -24.21%-29.68%
Avg Gain (Up Days) % +3.71%+5.44%
Avg Loss (Down Days) % -2.68%-5.79%
Profit Factor 1.141.02
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.1351.017
Expectancy % +0.20%+0.05%
Kelly Criterion % 2.00%0.15%
📅 Weekly Performance
Best Week % +59.89%+45.82%
Worst Week % -37.16%-38.99%
Weekly Win Rate % 58.8%50.0%
📆 Monthly Performance
Best Month % +51.37%+75.84%
Worst Month % -28.92%-46.69%
Monthly Win Rate % 58.3%57.1%
🔧 Technical Indicators
RSI (14-period) 70.2761.39
Price vs 50-Day MA % +11.57%+10.27%
Price vs 200-Day MA % +35.63%N/A
💰 Volume Analysis
Avg Volume 100,700,167245,336
Total Volume 34,540,157,34943,915,111

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): 0.446 (Moderate 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
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