PYTH PYTH / MDAO Crypto vs TRAC TRAC / MDAO Crypto

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

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Asset PYTH / MDAOTRAC / MDAO
📈 Performance Metrics
Start Price 4.828.77
End Price 6.4136.53
Price Change % +32.89%+316.49%
Period High 8.6138.31
Period Low 2.886.80
Price Range % 198.8%463.8%
🏆 All-Time Records
All-Time High 8.6138.31
Days Since ATH 317 days3 days
Distance From ATH % -25.6%-4.6%
All-Time Low 2.886.80
Distance From ATL % +122.4%+437.6%
New ATHs Hit 18 times17 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.94%5.35%
Biggest Jump (1 Day) % +2.18+21.05
Biggest Drop (1 Day) % -1.82-3.94
Days Above Avg % 49.4%46.8%
Extreme Moves days 13 (3.8%)8 (2.3%)
Stability Score % 0.0%29.7%
Trend Strength % 54.8%47.8%
Recent Momentum (10-day) % +32.09%+155.88%
📊 Statistical Measures
Average Price 5.3014.12
Median Price 5.2713.82
Price Std Deviation 1.194.11
🚀 Returns & Growth
CAGR % +35.34%+356.40%
Annualized Return % +35.34%+356.40%
Total Return % +32.89%+316.49%
⚠️ Risk & Volatility
Daily Volatility % 7.42%9.93%
Annualized Volatility % 141.83%189.77%
Max Drawdown % -66.53%-65.37%
Sharpe Ratio 0.0470.081
Sortino Ratio 0.0500.126
Calmar Ratio 0.5315.452
Ulcer Index 40.2530.19
📅 Daily Performance
Win Rate % 54.8%47.8%
Positive Days 188164
Negative Days 155179
Best Day % +58.79%+125.13%
Worst Day % -32.55%-32.52%
Avg Gain (Up Days) % +4.92%+6.68%
Avg Loss (Down Days) % -5.19%-4.57%
Profit Factor 1.151.34
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.1491.339
Expectancy % +0.35%+0.81%
Kelly Criterion % 1.37%2.65%
📅 Weekly Performance
Best Week % +37.96%+70.99%
Worst Week % -21.65%-33.47%
Weekly Win Rate % 59.6%55.8%
📆 Monthly Performance
Best Month % +76.89%+107.55%
Worst Month % -28.23%-48.75%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 79.9394.18
Price vs 50-Day MA % +45.91%+193.04%
Price vs 200-Day MA % +34.56%+150.78%

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 TRAC (TRAC): 0.487 (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
TRAC: Kraken
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