PYTH PYTH / MATH Crypto vs TREE TREE / MATH 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 / MATHTREE / MATH
📈 Performance Metrics
Start Price 1.396.19
End Price 1.462.67
Price Change % +4.89%-56.88%
Period High 2.206.19
Period Low 0.872.34
Price Range % 154.7%164.6%
🏆 All-Time Records
All-Time High 2.206.19
Days Since ATH 78 days108 days
Distance From ATH % -33.7%-56.9%
All-Time Low 0.872.34
Distance From ATL % +68.8%+14.1%
New ATHs Hit 7 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.04%4.83%
Biggest Jump (1 Day) % +1.08+0.77
Biggest Drop (1 Day) % -0.35-1.04
Days Above Avg % 40.5%47.7%
Extreme Moves days 5 (1.5%)5 (4.6%)
Stability Score % 0.0%0.0%
Trend Strength % 51.2%52.8%
Recent Momentum (10-day) % -2.87%-1.76%
📊 Statistical Measures
Average Price 1.293.17
Median Price 1.193.14
Price Std Deviation 0.260.59
🚀 Returns & Growth
CAGR % +5.23%-94.18%
Annualized Return % +5.23%-94.18%
Total Return % +4.89%-56.88%
⚠️ Risk & Volatility
Daily Volatility % 7.34%6.31%
Annualized Volatility % 140.23%120.52%
Max Drawdown % -46.18%-62.20%
Sharpe Ratio 0.032-0.092
Sortino Ratio 0.044-0.091
Calmar Ratio 0.113-1.514
Ulcer Index 27.2449.75
📅 Daily Performance
Win Rate % 51.2%47.2%
Positive Days 17551
Negative Days 16757
Best Day % +96.29%+25.59%
Worst Day % -25.23%-16.82%
Avg Gain (Up Days) % +4.18%+4.24%
Avg Loss (Down Days) % -3.90%-4.89%
Profit Factor 1.120.78
🔥 Streaks & Patterns
Longest Win Streak days 54
Longest Loss Streak days 65
💹 Trading Metrics
Omega Ratio 1.1220.776
Expectancy % +0.23%-0.58%
Kelly Criterion % 1.43%0.00%
📅 Weekly Performance
Best Week % +64.09%+21.47%
Worst Week % -16.53%-34.83%
Weekly Win Rate % 55.8%41.2%
📆 Monthly Performance
Best Month % +60.98%+7.62%
Worst Month % -17.88%-34.20%
Monthly Win Rate % 46.2%50.0%
🔧 Technical Indicators
RSI (14-period) 51.2245.35
Price vs 50-Day MA % -10.92%-3.60%
Price vs 200-Day MA % +10.10%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): -0.358 (Moderate negative)

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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