PYTH PYTH / MCDX Crypto vs VIRTUAL VIRTUAL / MCDX Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / MCDXVIRTUAL / MCDX
📈 Performance Metrics
Start Price 0.000.01
End Price 0.000.00
Price Change % -33.48%-45.29%
Period High 0.000.01
Period Low 0.000.00
Price Range % 235.5%142.3%
🏆 All-Time Records
All-Time High 0.000.01
Days Since ATH 79 days117 days
Distance From ATH % -69.4%-58.0%
All-Time Low 0.000.00
Distance From ATL % +2.6%+1.8%
New ATHs Hit 12 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.10%5.23%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 46.6%38.9%
Extreme Moves days 3 (2.3%)2 (1.5%)
Stability Score % 0.0%0.0%
Trend Strength % 56.2%53.1%
Recent Momentum (10-day) % -8.05%-7.94%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -68.16%-81.61%
Annualized Return % -68.16%-81.61%
Total Return % -33.48%-45.29%
⚠️ Risk & Volatility
Daily Volatility % 10.52%8.17%
Annualized Volatility % 200.99%156.13%
Max Drawdown % -70.19%-58.73%
Sharpe Ratio 0.011-0.021
Sortino Ratio 0.017-0.027
Calmar Ratio -0.971-1.390
Ulcer Index 38.4639.05
📅 Daily Performance
Win Rate % 43.4%46.9%
Positive Days 5661
Negative Days 7369
Best Day % +97.62%+60.35%
Worst Day % -33.69%-14.43%
Avg Gain (Up Days) % +5.98%+5.42%
Avg Loss (Down Days) % -4.39%-5.11%
Profit Factor 1.050.94
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 1.0460.938
Expectancy % +0.11%-0.17%
Kelly Criterion % 0.44%0.00%
📅 Weekly Performance
Best Week % +67.14%+14.53%
Worst Week % -21.14%-26.23%
Weekly Win Rate % 60.0%40.0%
📆 Monthly Performance
Best Month % +62.07%+5.80%
Worst Month % -35.42%-52.36%
Monthly Win Rate % 66.7%50.0%
🔧 Technical Indicators
RSI (14-period) 48.0549.64
Price vs 50-Day MA % -34.50%-25.17%

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): 0.221 (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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