ATOM ATOM / KERNEL Crypto vs PYTH PYTH / KERNEL 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 ATOM / KERNELPYTH / KERNEL

📈 Performance Metrics

Start Price 12.400.39

End Price 29.320.94

Price Change % +136.49%+138.95%

Period High 40.061.20

Period Low 12.400.39

Price Range % 223.1%206.3%

🏆 All-Time Records

All-Time High 40.061.20

Days Since ATH 113 days58 days

Distance From ATH % -26.8%-22.0%

All-Time Low 12.400.39

Distance From ATL % +136.5%+139.0%

New ATHs Hit 24 times12 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.23%4.83%

Biggest Jump (1 Day) % +4.74+0.58

Biggest Drop (1 Day) % -6.42-0.20

Days Above Avg % 43.4%56.1%

Extreme Moves days 10 (5.1%)6 (3.1%)

Stability Score % 75.2%0.0%

Trend Strength % 56.9%53.3%

Recent Momentum (10-day) % +17.92%+8.10%

📊 Statistical Measures

Average Price 26.740.81

Median Price 25.130.83

Price Std Deviation 6.020.15

🚀 Returns & Growth

CAGR % +400.86%+410.65%

Annualized Return % +400.86%+410.65%

Total Return % +136.49%+138.95%

⚠️ Risk & Volatility

Daily Volatility % 6.64%9.83%

Annualized Volatility % 126.91%187.78%

Max Drawdown % -55.92%-58.27%

Sharpe Ratio 0.0990.085

Sortino Ratio 0.1080.129

Calmar Ratio 7.1687.047

Ulcer Index 31.5030.01

📅 Daily Performance

Win Rate % 57.2%53.6%

Positive Days 111104

Negative Days 8390

Best Day % +36.96%+96.31%

Worst Day % -21.86%-24.19%

Avg Gain (Up Days) % +4.60%+5.67%

Avg Loss (Down Days) % -4.61%-4.74%

Profit Factor 1.331.38

🔥 Streaks & Patterns

Longest Win Streak days 77

Longest Loss Streak days 78

💹 Trading Metrics

Omega Ratio 1.3331.381

Expectancy % +0.66%+0.84%

Kelly Criterion % 3.10%3.12%

📅 Weekly Performance

Best Week % +64.55%+81.17%

Worst Week % -32.33%-32.86%

Weekly Win Rate % 56.7%56.7%

📆 Monthly Performance

Best Month % +95.20%+113.15%

Worst Month % -39.12%-33.86%

Monthly Win Rate % 62.5%50.0%

🔧 Technical Indicators

RSI (14-period) 67.8652.80

Price vs 50-Day MA % +27.12%+12.90%

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).

ATOM (ATOM) vs PYTH (PYTH):	0.649 (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

ATOM: Kraken
PYTH: Kraken