J J / TREE Crypto vs PYTH PYTH / 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 J / TREEPYTH / TREE
📈 Performance Metrics
Start Price 0.150.19
End Price 0.270.52
Price Change % +82.45%+183.34%
Period High 0.400.69
Period Low 0.150.19
Price Range % 176.6%274.8%
🏆 All-Time Records
All-Time High 0.400.69
Days Since ATH 75 days21 days
Distance From ATH % -34.0%-24.4%
All-Time Low 0.150.19
Distance From ATL % +82.4%+183.3%
New ATHs Hit 10 times25 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.21%3.72%
Biggest Jump (1 Day) % +0.08+0.21
Biggest Drop (1 Day) % -0.10-0.07
Days Above Avg % 49.5%63.4%
Extreme Moves days 6 (6.0%)2 (2.0%)
Stability Score % 0.0%0.0%
Trend Strength % 52.0%57.0%
Recent Momentum (10-day) % -0.98%-15.48%
📊 Statistical Measures
Average Price 0.300.49
Median Price 0.300.53
Price Std Deviation 0.050.13
🚀 Returns & Growth
CAGR % +797.79%+4,376.42%
Annualized Return % +797.79%+4,376.42%
Total Return % +82.45%+183.34%
⚠️ Risk & Volatility
Daily Volatility % 7.65%7.41%
Annualized Volatility % 146.17%141.58%
Max Drawdown % -42.20%-26.43%
Sharpe Ratio 0.1170.173
Sortino Ratio 0.1290.278
Calmar Ratio 18.905165.604
Ulcer Index 22.2811.30
📅 Daily Performance
Win Rate % 52.5%57.6%
Positive Days 5257
Negative Days 4742
Best Day % +33.34%+56.29%
Worst Day % -26.84%-14.23%
Avg Gain (Up Days) % +5.95%+4.66%
Avg Loss (Down Days) % -4.68%-3.28%
Profit Factor 1.411.93
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.4061.928
Expectancy % +0.90%+1.29%
Kelly Criterion % 3.24%8.44%
📅 Weekly Performance
Best Week % +50.66%+43.16%
Worst Week % -19.82%-12.52%
Weekly Win Rate % 56.3%62.5%
📆 Monthly Performance
Best Month % +60.34%+144.64%
Worst Month % -4.87%-18.51%
Monthly Win Rate % 80.0%80.0%
🔧 Technical Indicators
RSI (14-period) 58.1723.90
Price vs 50-Day MA % -12.43%-10.71%

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).

J (J) vs PYTH (PYTH): 0.289 (Weak)

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

J: Bybit
PYTH: Kraken