PYTH PYTH / APT Crypto vs XMLNZ XMLNZ / APT Crypto

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

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Asset PYTH / APTXMLNZ / APT
📈 Performance Metrics
Start Price 0.041.86
End Price 0.042.85
Price Change % +5.92%+53.08%
Period High 0.053.22
Period Low 0.021.41
Price Range % 175.2%127.8%
🏆 All-Time Records
All-Time High 0.053.22
Days Since ATH 82 days3 days
Distance From ATH % -27.4%-11.3%
All-Time Low 0.021.41
Distance From ATL % +99.7%+102.1%
New ATHs Hit 10 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.89%3.35%
Biggest Jump (1 Day) % +0.03+0.81
Biggest Drop (1 Day) % -0.01-0.38
Days Above Avg % 47.7%39.2%
Extreme Moves days 5 (1.5%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 46.4%45.5%
Recent Momentum (10-day) % +12.07%+18.57%
📊 Statistical Measures
Average Price 0.031.88
Median Price 0.031.80
Price Std Deviation 0.010.31
🚀 Returns & Growth
CAGR % +6.32%+57.32%
Annualized Return % +6.32%+57.32%
Total Return % +5.92%+53.08%
⚠️ Risk & Volatility
Daily Volatility % 6.40%5.55%
Annualized Volatility % 122.19%106.00%
Max Drawdown % -55.45%-42.96%
Sharpe Ratio 0.0270.047
Sortino Ratio 0.0500.070
Calmar Ratio 0.1141.334
Ulcer Index 32.2626.37
📅 Daily Performance
Win Rate % 46.5%45.6%
Positive Days 159156
Negative Days 183186
Best Day % +94.78%+48.19%
Worst Day % -12.24%-15.41%
Avg Gain (Up Days) % +3.30%+3.87%
Avg Loss (Down Days) % -2.54%-2.76%
Profit Factor 1.131.18
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 138
💹 Trading Metrics
Omega Ratio 1.1261.176
Expectancy % +0.17%+0.26%
Kelly Criterion % 2.04%2.47%
📅 Weekly Performance
Best Week % +65.98%+38.02%
Worst Week % -17.51%-20.32%
Weekly Win Rate % 50.0%53.8%
📆 Monthly Performance
Best Month % +64.93%+52.59%
Worst Month % -18.14%-18.61%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 63.0464.57
Price vs 50-Day MA % +11.82%+29.35%
Price vs 200-Day MA % +26.66%+55.64%

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): 0.568 (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