PYTH PYTH / EIGEN Crypto vs VIRTUAL VIRTUAL / EIGEN Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / EIGENVIRTUAL / EIGEN
📈 Performance Metrics
Start Price 0.090.79
End Price 0.141.75
Price Change % +56.88%+121.03%
Period High 0.182.07
Period Low 0.080.51
Price Range % 133.9%306.7%
🏆 All-Time Records
All-Time High 0.182.07
Days Since ATH 81 days196 days
Distance From ATH % -20.1%-15.9%
All-Time Low 0.080.51
Distance From ATL % +86.8%+242.2%
New ATHs Hit 25 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.79%4.49%
Biggest Jump (1 Day) % +0.09+1.45
Biggest Drop (1 Day) % -0.04-0.27
Days Above Avg % 45.6%47.7%
Extreme Moves days 9 (2.6%)1 (0.4%)
Stability Score % 0.0%0.0%
Trend Strength % 50.4%48.9%
Recent Momentum (10-day) % +5.05%+6.32%
📊 Statistical Measures
Average Price 0.111.09
Median Price 0.111.07
Price Std Deviation 0.030.41
🚀 Returns & Growth
CAGR % +61.48%+183.31%
Annualized Return % +61.48%+183.31%
Total Return % +56.88%+121.03%
⚠️ Risk & Volatility
Daily Volatility % 7.36%15.25%
Annualized Volatility % 140.54%291.44%
Max Drawdown % -56.94%-73.75%
Sharpe Ratio 0.0480.056
Sortino Ratio 0.0690.164
Calmar Ratio 1.0802.485
Ulcer Index 33.0438.80
📅 Daily Performance
Win Rate % 50.6%48.9%
Positive Days 173136
Negative Days 169142
Best Day % +91.66%+237.69%
Worst Day % -23.61%-14.42%
Avg Gain (Up Days) % +4.17%+5.94%
Avg Loss (Down Days) % -3.55%-4.02%
Profit Factor 1.201.41
🔥 Streaks & Patterns
Longest Win Streak days 610
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.2031.415
Expectancy % +0.36%+0.85%
Kelly Criterion % 2.40%3.56%
📅 Weekly Performance
Best Week % +69.33%+69.93%
Worst Week % -25.75%-32.63%
Weekly Win Rate % 53.8%35.7%
📆 Monthly Performance
Best Month % +52.86%+152.65%
Worst Month % -41.70%-22.77%
Monthly Win Rate % 69.2%18.2%
🔧 Technical Indicators
RSI (14-period) 68.9376.28
Price vs 50-Day MA % +19.62%+20.05%
Price vs 200-Day MA % +37.17%+40.15%

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 VIRTUAL (VIRTUAL): -0.061 (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
VIRTUAL: Kraken
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