PYTH PYTH / SPK Crypto vs EIGEN EIGEN / USD 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 / SPKEIGEN / USD
📈 Performance Metrics
Start Price 2.302.38
End Price 2.770.73
Price Change % +20.27%-69.53%
Period High 3.895.49
Period Low 0.740.69
Price Range % 426.3%694.8%
🏆 All-Time Records
All-Time High 3.895.49
Days Since ATH 100 days311 days
Distance From ATH % -28.9%-86.8%
All-Time Low 0.740.69
Distance From ATL % +274.3%+4.9%
New ATHs Hit 16 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.44%5.95%
Biggest Jump (1 Day) % +1.92+0.94
Biggest Drop (1 Day) % -1.37-0.95
Days Above Avg % 62.7%29.4%
Extreme Moves days 5 (4.0%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 62.4%51.9%
Recent Momentum (10-day) % -12.84%-47.14%
📊 Statistical Measures
Average Price 2.461.82
Median Price 2.661.41
Price Std Deviation 0.811.04
🚀 Returns & Growth
CAGR % +71.43%-71.76%
Annualized Return % +71.43%-71.76%
Total Return % +20.27%-69.53%
⚠️ Risk & Volatility
Daily Volatility % 14.22%8.08%
Annualized Volatility % 271.73%154.45%
Max Drawdown % -81.00%-87.42%
Sharpe Ratio 0.075-0.001
Sortino Ratio 0.081-0.001
Calmar Ratio 0.882-0.821
Ulcer Index 40.1668.60
📅 Daily Performance
Win Rate % 62.4%48.1%
Positive Days 78165
Negative Days 47178
Best Day % +103.53%+46.18%
Worst Day % -55.27%-51.71%
Avg Gain (Up Days) % +6.65%+6.01%
Avg Loss (Down Days) % -8.18%-5.58%
Profit Factor 1.351.00
🔥 Streaks & Patterns
Longest Win Streak days 85
Longest Loss Streak days 48
💹 Trading Metrics
Omega Ratio 1.3490.998
Expectancy % +1.07%-0.01%
Kelly Criterion % 1.97%0.00%
📅 Weekly Performance
Best Week % +116.56%+72.73%
Worst Week % -39.18%-34.01%
Weekly Win Rate % 70.0%53.8%
📆 Monthly Performance
Best Month % +160.85%+53.09%
Worst Month % -55.73%-41.91%
Monthly Win Rate % 66.7%53.8%
🔧 Technical Indicators
RSI (14-period) 37.1820.56
Price vs 50-Day MA % -2.83%-49.21%
Price vs 200-Day MA % N/A-43.09%
💰 Volume Analysis
Avg Volume 53,793,442244,583
Total Volume 6,777,973,72884,136,538

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 EIGEN (EIGEN): 0.145 (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

PYTH: Kraken
EIGEN: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures