PYTH PYTH / MOODENG Crypto vs TREE TREE / USD Crypto

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

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Asset PYTH / MOODENGTREE / USD
📈 Performance Metrics
Start Price 1.340.68
End Price 1.050.15
Price Change % -22.19%-78.54%
Period High 5.410.68
Period Low 0.430.15
Price Range % 1,150.2%366.6%
🏆 All-Time Records
All-Time High 5.410.68
Days Since ATH 182 days79 days
Distance From ATH % -80.7%-78.5%
All-Time Low 0.430.15
Distance From ATL % +141.6%+0.1%
New ATHs Hit 39 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.60%5.95%
Biggest Jump (1 Day) % +0.78+0.08
Biggest Drop (1 Day) % -1.45-0.15
Days Above Avg % 36.6%42.5%
Extreme Moves days 10 (3.3%)4 (5.1%)
Stability Score % 0.0%0.0%
Trend Strength % 44.0%55.7%
Recent Momentum (10-day) % +5.43%-30.79%
📊 Statistical Measures
Average Price 1.950.33
Median Price 1.230.32
Price Std Deviation 1.490.09
🚀 Returns & Growth
CAGR % -26.15%-99.92%
Annualized Return % -26.15%-99.92%
Total Return % -22.19%-78.54%
⚠️ Risk & Volatility
Daily Volatility % 8.79%7.95%
Annualized Volatility % 167.88%151.81%
Max Drawdown % -92.00%-78.57%
Sharpe Ratio 0.032-0.201
Sortino Ratio 0.033-0.178
Calmar Ratio -0.284-1.272
Ulcer Index 63.0453.64
📅 Daily Performance
Win Rate % 56.0%43.6%
Positive Days 16934
Negative Days 13344
Best Day % +93.25%+27.55%
Worst Day % -42.41%-34.10%
Avg Gain (Up Days) % +4.40%+4.62%
Avg Loss (Down Days) % -4.95%-6.43%
Profit Factor 1.130.56
🔥 Streaks & Patterns
Longest Win Streak days 83
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 1.1300.555
Expectancy % +0.28%-1.61%
Kelly Criterion % 1.30%0.00%
📅 Weekly Performance
Best Week % +68.84%+15.86%
Worst Week % -76.83%-32.28%
Weekly Win Rate % 63.0%38.5%
📆 Monthly Performance
Best Month % +98.63%+-3.99%
Worst Month % -83.17%-32.42%
Monthly Win Rate % 50.0%0.0%
🔧 Technical Indicators
RSI (14-period) 62.7914.41
Price vs 50-Day MA % -2.15%-48.41%
Price vs 200-Day MA % -29.79%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): -0.430 (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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