TREE TREE / MATH Crypto vs PYTH PYTH / MATH Crypto

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

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Asset TREE / MATHPYTH / MATH
📈 Performance Metrics
Start Price 6.191.61
End Price 2.601.47
Price Change % -57.95%-8.61%
Period High 6.192.20
Period Low 2.340.87
Price Range % 164.6%154.7%
🏆 All-Time Records
All-Time High 6.192.20
Days Since ATH 103 days73 days
Distance From ATH % -57.9%-33.3%
All-Time Low 2.340.87
Distance From ATL % +11.3%+70.0%
New ATHs Hit 0 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.91%4.06%
Biggest Jump (1 Day) % +0.77+1.08
Biggest Drop (1 Day) % -1.04-0.35
Days Above Avg % 47.1%40.5%
Extreme Moves days 5 (4.9%)5 (1.5%)
Stability Score % 0.0%0.0%
Trend Strength % 54.4%49.1%
Recent Momentum (10-day) % +6.43%-6.34%
📊 Statistical Measures
Average Price 3.191.29
Median Price 3.171.19
Price Std Deviation 0.600.26
🚀 Returns & Growth
CAGR % -95.36%-9.16%
Annualized Return % -95.36%-9.16%
Total Return % -57.95%-8.61%
⚠️ Risk & Volatility
Daily Volatility % 6.41%7.36%
Annualized Volatility % 122.46%140.58%
Max Drawdown % -62.20%-46.59%
Sharpe Ratio -0.0990.026
Sortino Ratio -0.0990.036
Calmar Ratio -1.533-0.197
Ulcer Index 49.3927.70
📅 Daily Performance
Win Rate % 45.6%50.9%
Positive Days 47174
Negative Days 56168
Best Day % +25.59%+96.29%
Worst Day % -16.82%-25.23%
Avg Gain (Up Days) % +4.42%+4.19%
Avg Loss (Down Days) % -4.87%-3.94%
Profit Factor 0.761.10
🔥 Streaks & Patterns
Longest Win Streak days 45
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 0.7611.100
Expectancy % -0.63%+0.19%
Kelly Criterion % 0.00%1.18%
📅 Weekly Performance
Best Week % +21.47%+64.09%
Worst Week % -34.83%-17.96%
Weekly Win Rate % 35.3%55.8%
📆 Monthly Performance
Best Month % +7.62%+60.98%
Worst Month % -34.20%-17.88%
Monthly Win Rate % 33.3%46.2%
🔧 Technical Indicators
RSI (14-period) 52.9045.11
Price vs 50-Day MA % -8.19%-11.59%
Price vs 200-Day MA % N/A+11.59%

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).

TREE (TREE) vs PYTH (PYTH): -0.369 (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

TREE: Kraken
PYTH: Kraken
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