PYTH PYTH / TREE Crypto vs WOO WOO / 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 / TREEWOO / TREE
📈 Performance Metrics
Start Price 0.190.10
End Price 0.560.21
Price Change % +200.81%+98.77%
Period High 0.690.28
Period Low 0.190.10
Price Range % 274.8%169.8%
🏆 All-Time Records
All-Time High 0.690.28
Days Since ATH 31 days41 days
Distance From ATH % -19.7%-26.3%
All-Time Low 0.190.10
Distance From ATL % +200.8%+98.8%
New ATHs Hit 25 times24 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.54%3.68%
Biggest Jump (1 Day) % +0.21+0.03
Biggest Drop (1 Day) % -0.07-0.05
Days Above Avg % 66.7%49.5%
Extreme Moves days 3 (2.7%)5 (4.5%)
Stability Score % 0.0%0.0%
Trend Strength % 59.1%62.7%
Recent Momentum (10-day) % +2.55%+5.02%
📊 Statistical Measures
Average Price 0.500.21
Median Price 0.530.21
Price Std Deviation 0.130.03
🚀 Returns & Growth
CAGR % +3,764.42%+877.17%
Annualized Return % +3,764.42%+877.17%
Total Return % +200.81%+98.77%
⚠️ Risk & Volatility
Daily Volatility % 7.11%5.55%
Annualized Volatility % 135.79%106.07%
Max Drawdown % -26.43%-34.91%
Sharpe Ratio 0.1720.141
Sortino Ratio 0.2700.130
Calmar Ratio 142.44625.128
Ulcer Index 12.3117.06
📅 Daily Performance
Win Rate % 59.1%62.7%
Positive Days 6569
Negative Days 4541
Best Day % +56.29%+28.42%
Worst Day % -14.23%-20.16%
Avg Gain (Up Days) % +4.29%+3.62%
Avg Loss (Down Days) % -3.22%-4.01%
Profit Factor 1.931.52
🔥 Streaks & Patterns
Longest Win Streak days 66
Longest Loss Streak days 53
💹 Trading Metrics
Omega Ratio 1.9261.523
Expectancy % +1.22%+0.78%
Kelly Criterion % 8.82%5.38%
📅 Weekly Performance
Best Week % +43.16%+42.87%
Worst Week % -12.52%-10.60%
Weekly Win Rate % 61.1%61.1%
📆 Monthly Performance
Best Month % +144.64%+50.13%
Worst Month % -14.69%-14.02%
Monthly Win Rate % 66.7%83.3%
🔧 Technical Indicators
RSI (14-period) 54.8858.93
Price vs 50-Day MA % -6.20%-6.88%

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 WOO (WOO): 0.563 (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
WOO: Kraken