PYTH PYTH / APEX Crypto vs TREE TREE / APEX Crypto

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

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Asset PYTH / APEXTREE / APEX
📈 Performance Metrics
Start Price 0.232.54
End Price 0.100.19
Price Change % -55.36%-92.51%
Period High 0.782.54
Period Low 0.070.12
Price Range % 1,005.9%2,094.2%
🏆 All-Time Records
All-Time High 0.782.54
Days Since ATH 66 days97 days
Distance From ATH % -86.7%-92.5%
All-Time Low 0.070.12
Distance From ATL % +47.4%+64.3%
New ATHs Hit 21 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.37%7.08%
Biggest Jump (1 Day) % +0.40+0.32
Biggest Drop (1 Day) % -0.21-0.54
Days Above Avg % 39.2%58.2%
Extreme Moves days 7 (2.0%)4 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 48.7%54.6%
Recent Momentum (10-day) % -14.44%-0.74%
📊 Statistical Measures
Average Price 0.310.84
Median Price 0.241.03
Price Std Deviation 0.180.61
🚀 Returns & Growth
CAGR % -57.61%-99.99%
Annualized Return % -57.61%-99.99%
Total Return % -55.36%-92.51%
⚠️ Risk & Volatility
Daily Volatility % 9.97%11.58%
Annualized Volatility % 190.41%221.30%
Max Drawdown % -90.96%-95.44%
Sharpe Ratio 0.025-0.150
Sortino Ratio 0.029-0.130
Calmar Ratio -0.633-1.048
Ulcer Index 40.8470.93
📅 Daily Performance
Win Rate % 51.3%45.4%
Positive Days 17644
Negative Days 16753
Best Day % +107.95%+33.05%
Worst Day % -65.90%-66.35%
Avg Gain (Up Days) % +5.42%+5.80%
Avg Loss (Down Days) % -5.20%-8.00%
Profit Factor 1.100.60
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 79
💹 Trading Metrics
Omega Ratio 1.0970.602
Expectancy % +0.25%-1.74%
Kelly Criterion % 0.88%0.00%
📅 Weekly Performance
Best Week % +111.52%+47.76%
Worst Week % -88.05%-88.86%
Weekly Win Rate % 42.3%37.5%
📆 Monthly Performance
Best Month % +151.38%+11.87%
Worst Month % -86.43%-87.75%
Monthly Win Rate % 46.2%20.0%
🔧 Technical Indicators
RSI (14-period) 27.0248.50
Price vs 50-Day MA % -50.21%-49.90%
Price vs 200-Day MA % -73.38%N/A

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 TREE (TREE): 0.838 (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
TREE: Kraken
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