PYTH PYTH / ALEPH Crypto vs KERNEL KERNEL / ALEPH 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 / ALEPHKERNEL / ALEPH
📈 Performance Metrics
Start Price 2.444.97
End Price 2.042.09
Price Change % -16.43%-57.93%
Period High 3.224.97
Period Low 1.311.53
Price Range % 145.3%225.6%
🏆 All-Time Records
All-Time High 3.224.97
Days Since ATH 49 days185 days
Distance From ATH % -36.5%-57.9%
All-Time Low 1.311.53
Distance From ATL % +55.7%+37.0%
New ATHs Hit 15 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.71%6.36%
Biggest Jump (1 Day) % +1.64+0.65
Biggest Drop (1 Day) % -1.12-1.06
Days Above Avg % 54.1%55.4%
Extreme Moves days 7 (2.1%)10 (5.4%)
Stability Score % 0.0%0.0%
Trend Strength % 49.0%50.8%
Recent Momentum (10-day) % -8.55%-17.20%
📊 Statistical Measures
Average Price 2.242.52
Median Price 2.282.55
Price Std Deviation 0.410.50
🚀 Returns & Growth
CAGR % -17.48%-81.88%
Annualized Return % -17.48%-81.88%
Total Return % -16.43%-57.93%
⚠️ Risk & Volatility
Daily Volatility % 8.43%8.81%
Annualized Volatility % 160.97%168.30%
Max Drawdown % -57.57%-69.29%
Sharpe Ratio 0.029-0.008
Sortino Ratio 0.038-0.008
Calmar Ratio -0.304-1.182
Ulcer Index 30.4950.37
📅 Daily Performance
Win Rate % 51.0%49.2%
Positive Days 17491
Negative Days 16794
Best Day % +104.36%+37.18%
Worst Day % -34.66%-35.61%
Avg Gain (Up Days) % +4.93%+6.27%
Avg Loss (Down Days) % -4.64%-6.21%
Profit Factor 1.110.98
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 114
💹 Trading Metrics
Omega Ratio 1.1080.977
Expectancy % +0.24%-0.07%
Kelly Criterion % 1.07%0.00%
📅 Weekly Performance
Best Week % +60.52%+54.92%
Worst Week % -21.13%-32.12%
Weekly Win Rate % 53.8%50.0%
📆 Monthly Performance
Best Month % +88.18%+18.03%
Worst Month % -23.68%-42.86%
Monthly Win Rate % 46.2%50.0%
🔧 Technical Indicators
RSI (14-period) 46.9239.03
Price vs 50-Day MA % -6.66%-20.91%
Price vs 200-Day MA % +1.25%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): 0.392 (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