KERNEL KERNEL / PYTH Crypto vs JITOSOL JITOSOL / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset KERNEL / PYTHJITOSOL / PYTH

📈 Performance Metrics

Start Price 2.551,825.43

End Price 1.021,969.03

Price Change % -59.86%+7.87%

Period High 2.552,226.20

Period Low 0.831,145.30

Price Range % 206.3%94.4%

🏆 All-Time Records

All-Time High 2.552,226.20

Days Since ATH 187 days6 days

Distance From ATH % -59.9%-11.6%

All-Time Low 0.831,145.30

Distance From ATL % +23.0%+71.9%

New ATHs Hit 0 times11 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.36%3.50%

Biggest Jump (1 Day) % +0.39+387.29

Biggest Drop (1 Day) % -0.81-1,019.15

Days Above Avg % 35.6%50.4%

Extreme Moves days 10 (5.3%)4 (3.5%)

Stability Score % 0.0%99.6%

Trend Strength % 52.9%56.1%

Recent Momentum (10-day) % -14.37%+15.40%

📊 Statistical Measures

Average Price 1.291,764.43

Median Price 1.211,764.46

Price Std Deviation 0.28172.56

🚀 Returns & Growth

CAGR % -83.17%+27.44%

Annualized Return % -83.17%+27.44%

Total Return % -59.86%+7.87%

⚠️ Risk & Volatility

Daily Volatility % 7.78%6.27%

Annualized Volatility % 148.55%119.85%

Max Drawdown % -67.35%-47.09%

Sharpe Ratio -0.0190.049

Sortino Ratio -0.0190.040

Calmar Ratio -1.2350.583

Ulcer Index 50.6216.05

📅 Daily Performance

Win Rate % 47.1%56.1%

Positive Days 8864

Negative Days 9950

Best Day % +31.90%+22.26%

Worst Day % -49.06%-47.09%

Avg Gain (Up Days) % +5.12%+3.36%

Avg Loss (Down Days) % -4.83%-3.60%

Profit Factor 0.941.20

🔥 Streaks & Patterns

Longest Win Streak days 87

Longest Loss Streak days 73

💹 Trading Metrics

Omega Ratio 0.9411.196

Expectancy % -0.15%+0.31%

Kelly Criterion % 0.00%2.56%

📅 Weekly Performance

Best Week % +48.95%+9.66%

Worst Week % -44.80%-33.81%

Weekly Win Rate % 42.9%38.9%

📆 Monthly Performance

Best Month % +51.20%+14.90%

Worst Month % -53.08%-22.87%

Monthly Win Rate % 50.0%50.0%

🔧 Technical Indicators

RSI (14-period) 34.7359.85

Price vs 50-Day MA % -16.38%+12.43%

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 JITOSOL (JITOSOL):	0.287 (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
JITOSOL: Kraken