PYTH PYTH / ALGO Crypto vs XMLNZ XMLNZ / ALGO Crypto

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

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Asset PYTH / ALGOXMLNZ / ALGO
📈 Performance Metrics
Start Price 0.9751.52
End Price 0.5038.17
Price Change % -48.12%-25.91%
Period High 1.1972.37
Period Low 0.4124.97
Price Range % 194.6%189.9%
🏆 All-Time Records
All-Time High 1.1972.37
Days Since ATH 338 days233 days
Distance From ATH % -57.8%-47.2%
All-Time Low 0.4124.97
Distance From ATL % +24.4%+52.9%
New ATHs Hit 4 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.81%3.41%
Biggest Jump (1 Day) % +0.44+21.77
Biggest Drop (1 Day) % -0.12-12.32
Days Above Avg % 54.9%41.9%
Extreme Moves days 6 (1.7%)16 (4.7%)
Stability Score % 0.0%86.9%
Trend Strength % 55.1%53.1%
Recent Momentum (10-day) % -3.00%+1.14%
📊 Statistical Measures
Average Price 0.6941.54
Median Price 0.7040.17
Price Std Deviation 0.167.92
🚀 Returns & Growth
CAGR % -50.25%-27.32%
Annualized Return % -50.25%-27.32%
Total Return % -48.12%-25.91%
⚠️ Risk & Volatility
Daily Volatility % 6.37%5.42%
Annualized Volatility % 121.67%103.56%
Max Drawdown % -66.06%-65.50%
Sharpe Ratio -0.0060.009
Sortino Ratio -0.0100.011
Calmar Ratio -0.761-0.417
Ulcer Index 44.5642.33
📅 Daily Performance
Win Rate % 44.9%46.9%
Positive Days 154161
Negative Days 189182
Best Day % +94.89%+50.81%
Worst Day % -15.91%-17.02%
Avg Gain (Up Days) % +3.06%+3.51%
Avg Loss (Down Days) % -2.56%-3.01%
Profit Factor 0.971.03
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 1010
💹 Trading Metrics
Omega Ratio 0.9731.030
Expectancy % -0.04%+0.05%
Kelly Criterion % 0.00%0.46%
📅 Weekly Performance
Best Week % +76.23%+33.69%
Worst Week % -17.04%-28.22%
Weekly Win Rate % 48.1%53.8%
📆 Monthly Performance
Best Month % +68.82%+58.49%
Worst Month % -21.88%-30.92%
Monthly Win Rate % 30.8%46.2%
🔧 Technical Indicators
RSI (14-period) 35.8856.84
Price vs 50-Day MA % -13.00%+1.67%
Price vs 200-Day MA % -14.61%+4.25%

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): 0.743 (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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