PYTH PYTH / TREE Crypto vs XMLNZ XMLNZ / TREE Crypto

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

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Asset PYTH / TREEXMLNZ / TREE
📈 Performance Metrics
Start Price 0.1911.86
End Price 0.6742.56
Price Change % +261.21%+258.99%
Period High 0.6943.37
Period Low 0.1911.86
Price Range % 274.8%265.8%
🏆 All-Time Records
All-Time High 0.6943.37
Days Since ATH 6 days10 days
Distance From ATH % -3.6%-1.9%
All-Time Low 0.1911.86
Distance From ATL % +261.2%+259.0%
New ATHs Hit 25 times22 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.90%4.19%
Biggest Jump (1 Day) % +0.21+8.12
Biggest Drop (1 Day) % -0.07-7.32
Days Above Avg % 60.5%38.4%
Extreme Moves days 2 (2.4%)4 (4.7%)
Stability Score % 0.0%75.7%
Trend Strength % 61.2%63.5%
Recent Momentum (10-day) % +4.55%+23.03%
📊 Statistical Measures
Average Price 0.4826.92
Median Price 0.5225.35
Price Std Deviation 0.147.16
🚀 Returns & Growth
CAGR % +24,737.55%+24,088.39%
Annualized Return % +24,737.55%+24,088.39%
Total Return % +261.21%+258.99%
⚠️ Risk & Volatility
Daily Volatility % 7.80%6.53%
Annualized Volatility % 149.00%124.83%
Max Drawdown % -26.43%-25.08%
Sharpe Ratio 0.2280.264
Sortino Ratio 0.3820.277
Calmar Ratio 936.069960.375
Ulcer Index 9.199.91
📅 Daily Performance
Win Rate % 61.9%63.5%
Positive Days 5254
Negative Days 3231
Best Day % +56.29%+26.44%
Worst Day % -14.23%-25.01%
Avg Gain (Up Days) % +4.94%+4.83%
Avg Loss (Down Days) % -3.31%-3.68%
Profit Factor 2.432.29
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 53
💹 Trading Metrics
Omega Ratio 2.4262.287
Expectancy % +1.80%+1.73%
Kelly Criterion % 10.99%9.72%
📅 Weekly Performance
Best Week % +43.16%+36.37%
Worst Week % -7.91%-11.08%
Weekly Win Rate % 78.6%64.3%
📆 Monthly Performance
Best Month % +144.64%+62.70%
Worst Month % 3.88%4.65%
Monthly Win Rate % 100.0%100.0%
🔧 Technical Indicators
RSI (14-period) 58.3075.65
Price vs 50-Day MA % +17.32%+40.44%

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): 0.797 (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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