MULTI MULTI / EIGEN Crypto vs PYTH PYTH / EIGEN 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 MULTI / EIGENPYTH / EIGEN
📈 Performance Metrics
Start Price 0.150.13
End Price 0.620.13
Price Change % +319.48%-6.56%
Period High 1.080.18
Period Low 0.080.08
Price Range % 1,179.1%133.9%
🏆 All-Time Records
All-Time High 1.080.18
Days Since ATH 288 days76 days
Distance From ATH % -43.2%-30.4%
All-Time Low 0.080.08
Distance From ATL % +626.5%+62.8%
New ATHs Hit 4 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.22%3.90%
Biggest Jump (1 Day) % +0.76+0.09
Biggest Drop (1 Day) % -0.28-0.04
Days Above Avg % 48.8%45.6%
Extreme Moves days 5 (1.5%)9 (2.6%)
Stability Score % 0.0%0.0%
Trend Strength % 49.0%50.7%
Recent Momentum (10-day) % +1.94%-2.61%
📊 Statistical Measures
Average Price 0.440.11
Median Price 0.440.11
Price Std Deviation 0.190.03
🚀 Returns & Growth
CAGR % +359.89%-6.97%
Annualized Return % +359.89%-6.97%
Total Return % +319.48%-6.56%
⚠️ Risk & Volatility
Daily Volatility % 18.41%7.48%
Annualized Volatility % 351.74%142.84%
Max Drawdown % -76.22%-56.94%
Sharpe Ratio 0.0760.029
Sortino Ratio 0.1750.039
Calmar Ratio 4.722-0.122
Ulcer Index 52.2134.37
📅 Daily Performance
Win Rate % 49.0%49.3%
Positive Days 168169
Negative Days 175174
Best Day % +251.09%+91.66%
Worst Day % -27.76%-23.61%
Avg Gain (Up Days) % +8.99%+4.23%
Avg Loss (Down Days) % -5.90%-3.69%
Profit Factor 1.461.11
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 78
💹 Trading Metrics
Omega Ratio 1.4621.114
Expectancy % +1.39%+0.21%
Kelly Criterion % 2.62%1.37%
📅 Weekly Performance
Best Week % +761.84%+69.33%
Worst Week % -35.73%-25.75%
Weekly Win Rate % 38.5%51.9%
📆 Monthly Performance
Best Month % +484.46%+52.86%
Worst Month % -28.34%-41.70%
Monthly Win Rate % 38.5%53.8%
🔧 Technical Indicators
RSI (14-period) 55.5945.57
Price vs 50-Day MA % +26.89%+9.56%
Price vs 200-Day MA % +39.89%+18.93%

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).

MULTI (MULTI) vs PYTH (PYTH): 0.516 (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

MULTI: Kraken
PYTH: Kraken