PYTH PYTH / TREE Crypto vs OBOL OBOL / TREE Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / TREEOBOL / TREE
📈 Performance Metrics
Start Price 0.190.20
End Price 0.560.26
Price Change % +203.60%+30.23%
Period High 0.690.56
Period Low 0.190.20
Price Range % 274.8%184.4%
🏆 All-Time Records
All-Time High 0.690.56
Days Since ATH 32 days32 days
Distance From ATH % -19.0%-54.2%
All-Time Low 0.190.20
Distance From ATL % +203.6%+30.2%
New ATHs Hit 25 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.52%5.38%
Biggest Jump (1 Day) % +0.21+0.13
Biggest Drop (1 Day) % -0.07-0.15
Days Above Avg % 67.0%49.1%
Extreme Moves days 3 (2.7%)7 (6.3%)
Stability Score % 0.0%0.0%
Trend Strength % 59.5%52.3%
Recent Momentum (10-day) % +3.50%-28.79%
📊 Statistical Measures
Average Price 0.500.38
Median Price 0.530.38
Price Std Deviation 0.130.08
🚀 Returns & Growth
CAGR % +3,754.31%+138.34%
Annualized Return % +3,754.31%+138.34%
Total Return % +203.60%+30.23%
⚠️ Risk & Volatility
Daily Volatility % 7.08%7.80%
Annualized Volatility % 135.17%149.04%
Max Drawdown % -26.43%-55.68%
Sharpe Ratio 0.1720.069
Sortino Ratio 0.2690.075
Calmar Ratio 142.0632.485
Ulcer Index 12.3821.74
📅 Daily Performance
Win Rate % 59.5%52.3%
Positive Days 6658
Negative Days 4553
Best Day % +56.29%+31.50%
Worst Day % -14.23%-26.54%
Avg Gain (Up Days) % +4.24%+5.63%
Avg Loss (Down Days) % -3.22%-5.02%
Profit Factor 1.931.23
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.9331.225
Expectancy % +1.22%+0.54%
Kelly Criterion % 8.91%1.91%
📅 Weekly Performance
Best Week % +43.16%+28.69%
Worst Week % -12.52%-33.32%
Weekly Win Rate % 66.7%55.6%
📆 Monthly Performance
Best Month % +144.64%+41.80%
Worst Month % -14.69%-33.71%
Monthly Win Rate % 66.7%66.7%
🔧 Technical Indicators
RSI (14-period) 65.0115.61
Price vs 50-Day MA % -5.38%-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 OBOL (OBOL): 0.707 (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
OBOL: Bybit