PYTH PYTH / TREE Crypto vs SUPER SUPER / 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 / TREESUPER / TREE
📈 Performance Metrics
Start Price 0.191.23
End Price 0.572.14
Price Change % +208.41%+73.89%
Period High 0.692.52
Period Low 0.191.23
Price Range % 274.8%104.0%
🏆 All-Time Records
All-Time High 0.692.52
Days Since ATH 26 days43 days
Distance From ATH % -17.7%-14.8%
All-Time Low 0.191.23
Distance From ATL % +208.4%+73.9%
New ATHs Hit 25 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.63%4.17%
Biggest Jump (1 Day) % +0.21+0.61
Biggest Drop (1 Day) % -0.07-0.40
Days Above Avg % 65.1%50.9%
Extreme Moves days 2 (1.9%)5 (4.8%)
Stability Score % 0.0%0.0%
Trend Strength % 58.1%57.1%
Recent Momentum (10-day) % -6.49%+7.83%
📊 Statistical Measures
Average Price 0.501.87
Median Price 0.531.88
Price Std Deviation 0.130.25
🚀 Returns & Growth
CAGR % +4,915.28%+584.22%
Annualized Return % +4,915.28%+584.22%
Total Return % +208.41%+73.89%
⚠️ Risk & Volatility
Daily Volatility % 7.24%6.63%
Annualized Volatility % 138.39%126.68%
Max Drawdown % -26.43%-44.36%
Sharpe Ratio 0.1800.111
Sortino Ratio 0.2860.128
Calmar Ratio 185.99413.169
Ulcer Index 11.7518.09
📅 Daily Performance
Win Rate % 58.7%57.1%
Positive Days 6160
Negative Days 4345
Best Day % +56.29%+31.98%
Worst Day % -14.23%-20.91%
Avg Gain (Up Days) % +4.52%+4.45%
Avg Loss (Down Days) % -3.24%-4.21%
Profit Factor 1.981.41
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 54
💹 Trading Metrics
Omega Ratio 1.9801.410
Expectancy % +1.31%+0.74%
Kelly Criterion % 8.97%3.94%
📅 Weekly Performance
Best Week % +43.16%+24.17%
Worst Week % -12.52%-17.33%
Weekly Win Rate % 70.6%52.9%
📆 Monthly Performance
Best Month % +144.64%+36.25%
Worst Month % -14.69%-17.53%
Monthly Win Rate % 83.3%83.3%
🔧 Technical Indicators
RSI (14-period) 44.8767.52
Price vs 50-Day MA % -3.64%+9.88%

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 SUPER (SUPER): 0.402 (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
SUPER: Kraken