PYTH PYTH / ALEPH Crypto vs XMLNZ XMLNZ / USD Crypto

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

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Asset PYTH / ALEPHXMLNZ / USD
📈 Performance Metrics
Start Price 2.3516.64
End Price 1.986.38
Price Change % -15.94%-61.69%
Period High 3.2226.64
Period Low 1.316.12
Price Range % 145.3%335.5%
🏆 All-Time Records
All-Time High 3.2226.64
Days Since ATH 51 days315 days
Distance From ATH % -38.6%-76.1%
All-Time Low 1.316.12
Distance From ATL % +50.6%+4.2%
New ATHs Hit 16 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.70%3.80%
Biggest Jump (1 Day) % +1.64+4.82
Biggest Drop (1 Day) % -1.12-2.75
Days Above Avg % 53.6%33.7%
Extreme Moves days 7 (2.0%)12 (3.5%)
Stability Score % 0.0%54.1%
Trend Strength % 49.1%52.2%
Recent Momentum (10-day) % -13.37%-18.47%
📊 Statistical Measures
Average Price 2.2411.29
Median Price 2.288.91
Price Std Deviation 0.414.77
🚀 Returns & Growth
CAGR % -16.92%-63.97%
Annualized Return % -16.92%-63.97%
Total Return % -15.94%-61.69%
⚠️ Risk & Volatility
Daily Volatility % 8.41%5.18%
Annualized Volatility % 160.71%98.98%
Max Drawdown % -57.57%-77.04%
Sharpe Ratio 0.029-0.029
Sortino Ratio 0.038-0.033
Calmar Ratio -0.294-0.830
Ulcer Index 30.5959.55
📅 Daily Performance
Win Rate % 50.9%47.5%
Positive Days 174162
Negative Days 168179
Best Day % +104.36%+38.93%
Worst Day % -34.66%-16.67%
Avg Gain (Up Days) % +4.93%+3.61%
Avg Loss (Down Days) % -4.61%-3.56%
Profit Factor 1.110.92
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 117
💹 Trading Metrics
Omega Ratio 1.1080.919
Expectancy % +0.25%-0.15%
Kelly Criterion % 1.08%0.00%
📅 Weekly Performance
Best Week % +60.52%+21.73%
Worst Week % -21.13%-24.86%
Weekly Win Rate % 52.8%45.3%
📆 Monthly Performance
Best Month % +88.18%+13.38%
Worst Month % -23.68%-20.27%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 46.4433.88
Price vs 50-Day MA % -8.55%-15.70%
Price vs 200-Day MA % -1.84%-21.44%

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): 0.638 (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

PYTH: Kraken
XMLNZ: Kraken
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