PYTH PYTH / SHELL Crypto vs KERNEL KERNEL / SHELL 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 / SHELLKERNEL / SHELL
📈 Performance Metrics
Start Price 0.353.00
End Price 0.940.94
Price Change % +168.40%-68.59%
Period High 1.743.00
Period Low 0.350.64
Price Range % 397.4%369.9%
🏆 All-Time Records
All-Time High 1.743.00
Days Since ATH 51 days188 days
Distance From ATH % -46.0%-68.6%
All-Time Low 0.350.64
Distance From ATL % +168.4%+47.6%
New ATHs Hit 24 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.63%5.53%
Biggest Jump (1 Day) % +0.78+0.26
Biggest Drop (1 Day) % -0.34-1.06
Days Above Avg % 35.7%44.4%
Extreme Moves days 4 (1.7%)10 (5.3%)
Stability Score % 0.0%0.0%
Trend Strength % 55.1%53.7%
Recent Momentum (10-day) % -32.92%-45.14%
📊 Statistical Measures
Average Price 0.851.16
Median Price 0.760.96
Price Std Deviation 0.270.40
🚀 Returns & Growth
CAGR % +366.47%-89.44%
Annualized Return % +366.47%-89.44%
Total Return % +168.40%-68.59%
⚠️ Risk & Volatility
Daily Volatility % 8.35%7.50%
Annualized Volatility % 159.53%143.31%
Max Drawdown % -54.56%-78.72%
Sharpe Ratio 0.086-0.041
Sortino Ratio 0.114-0.039
Calmar Ratio 6.717-1.136
Ulcer Index 31.6362.92
📅 Daily Performance
Win Rate % 55.1%46.3%
Positive Days 12987
Negative Days 105101
Best Day % +88.54%+26.61%
Worst Day % -26.12%-36.49%
Avg Gain (Up Days) % +4.95%+5.16%
Avg Loss (Down Days) % -4.49%-5.02%
Profit Factor 1.360.88
🔥 Streaks & Patterns
Longest Win Streak days 95
Longest Loss Streak days 68
💹 Trading Metrics
Omega Ratio 1.3550.885
Expectancy % +0.72%-0.31%
Kelly Criterion % 3.22%0.00%
📅 Weekly Performance
Best Week % +80.64%+34.09%
Worst Week % -13.74%-49.35%
Weekly Win Rate % 61.1%58.6%
📆 Monthly Performance
Best Month % +108.69%+65.84%
Worst Month % -18.10%-73.93%
Monthly Win Rate % 50.0%62.5%
🔧 Technical Indicators
RSI (14-period) 28.3021.65
Price vs 50-Day MA % -22.57%-36.87%
Price vs 200-Day MA % +4.62%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): 0.771 (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