PYTH PYTH / MCDX Crypto vs XMLNZ XMLNZ / 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 / MCDXXMLNZ / MCDX
📈 Performance Metrics
Start Price 0.000.02
End Price 0.000.02
Price Change % -34.01%-29.62%
Period High 0.000.03
Period Low 0.000.02
Price Range % 239.6%101.1%
🏆 All-Time Records
All-Time High 0.000.03
Days Since ATH 81 days97 days
Distance From ATH % -69.7%-47.1%
All-Time Low 0.000.02
Distance From ATL % +3.0%+6.4%
New ATHs Hit 12 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.08%3.36%
Biggest Jump (1 Day) % +0.00+0.01
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 48.1%66.2%
Extreme Moves days 3 (2.3%)4 (3.0%)
Stability Score % 0.0%0.0%
Trend Strength % 56.1%50.0%
Recent Momentum (10-day) % -7.14%+1.42%
📊 Statistical Measures
Average Price 0.000.02
Median Price 0.000.03
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -68.32%-62.14%
Annualized Return % -68.32%-62.14%
Total Return % -34.01%-29.62%
⚠️ Risk & Volatility
Daily Volatility % 10.45%5.16%
Annualized Volatility % 199.61%98.56%
Max Drawdown % -70.55%-50.28%
Sharpe Ratio 0.010-0.026
Sortino Ratio 0.016-0.028
Calmar Ratio -0.968-1.236
Ulcer Index 39.1326.73
📅 Daily Performance
Win Rate % 43.5%49.2%
Positive Days 5764
Negative Days 7466
Best Day % +97.62%+29.25%
Worst Day % -33.69%-18.06%
Avg Gain (Up Days) % +5.93%+3.36%
Avg Loss (Down Days) % -4.38%-3.53%
Profit Factor 1.040.92
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.0440.923
Expectancy % +0.11%-0.14%
Kelly Criterion % 0.41%0.00%
📅 Weekly Performance
Best Week % +67.14%+15.14%
Worst Week % -21.14%-14.10%
Weekly Win Rate % 52.4%61.9%
📆 Monthly Performance
Best Month % +62.07%+7.79%
Worst Month % -35.42%-12.31%
Monthly Win Rate % 66.7%50.0%
🔧 Technical Indicators
RSI (14-period) 37.5855.24
Price vs 50-Day MA % -32.92%-15.67%

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 XMLNZ (XMLNZ): 0.732 (Strong 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
XMLNZ: Kraken
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