PYTH PYTH / BNC 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 / BNCXMLNZ / USD
📈 Performance Metrics
Start Price 1.5621.91
End Price 0.815.43
Price Change % -48.07%-75.19%
Period High 2.2026.64
Period Low 0.695.05
Price Range % 218.6%427.4%
🏆 All-Time Records
All-Time High 2.2026.64
Days Since ATH 77 days340 days
Distance From ATH % -63.1%-79.6%
All-Time Low 0.695.05
Distance From ATL % +17.6%+7.6%
New ATHs Hit 6 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.05%3.89%
Biggest Jump (1 Day) % +1.11+4.82
Biggest Drop (1 Day) % -0.52-2.75
Days Above Avg % 38.1%28.2%
Extreme Moves days 7 (2.0%)13 (3.8%)
Stability Score % 0.0%48.4%
Trend Strength % 52.2%52.5%
Recent Momentum (10-day) % -13.71%+4.82%
📊 Statistical Measures
Average Price 1.1810.44
Median Price 1.098.54
Price Std Deviation 0.294.64
🚀 Returns & Growth
CAGR % -50.21%-77.32%
Annualized Return % -50.21%-77.32%
Total Return % -48.07%-75.19%
⚠️ Risk & Volatility
Daily Volatility % 7.78%5.39%
Annualized Volatility % 148.56%102.90%
Max Drawdown % -68.62%-81.04%
Sharpe Ratio 0.007-0.050
Sortino Ratio 0.010-0.055
Calmar Ratio -0.732-0.954
Ulcer Index 39.3863.23
📅 Daily Performance
Win Rate % 47.8%47.2%
Positive Days 164161
Negative Days 179180
Best Day % +102.96%+38.93%
Worst Day % -32.37%-16.67%
Avg Gain (Up Days) % +4.34%+3.62%
Avg Loss (Down Days) % -3.87%-3.74%
Profit Factor 1.030.86
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.0270.864
Expectancy % +0.05%-0.27%
Kelly Criterion % 0.33%0.00%
📅 Weekly Performance
Best Week % +76.91%+21.63%
Worst Week % -21.37%-24.86%
Weekly Win Rate % 42.3%46.2%
📆 Monthly Performance
Best Month % +81.59%+13.38%
Worst Month % -30.37%-20.27%
Monthly Win Rate % 46.2%38.5%
🔧 Technical Indicators
RSI (14-period) 45.4957.77
Price vs 50-Day MA % -27.52%-15.13%
Price vs 200-Day MA % -27.62%-29.45%

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): 0.560 (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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