PYTH PYTH / MDAO Crypto vs AVAX AVAX / MDAO Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / MDAOAVAX / MDAO
📈 Performance Metrics
Start Price 8.53769.03
End Price 12.892,309.03
Price Change % +51.10%+200.25%
Period High 13.142,309.03
Period Low 2.88468.69
Price Range % 356.3%392.7%
🏆 All-Time Records
All-Time High 13.142,309.03
Days Since ATH 1 days0 days
Distance From ATH % -2.0%+0.0%
All-Time Low 2.88468.69
Distance From ATL % +347.4%+392.7%
New ATHs Hit 6 times19 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.94%5.71%
Biggest Jump (1 Day) % +3.03+529.19
Biggest Drop (1 Day) % -6.09-1,042.32
Days Above Avg % 45.1%41.2%
Extreme Moves days 13 (3.9%)17 (5.1%)
Stability Score % 0.0%99.0%
Trend Strength % 53.9%54.5%
Recent Momentum (10-day) % +10.28%+10.20%
📊 Statistical Measures
Average Price 5.40794.13
Median Price 5.22752.50
Price Std Deviation 1.51240.74
🚀 Returns & Growth
CAGR % +57.00%+232.51%
Annualized Return % +57.00%+232.51%
Total Return % +51.10%+200.25%
⚠️ Risk & Volatility
Daily Volatility % 8.76%7.70%
Annualized Volatility % 167.37%147.03%
Max Drawdown % -66.53%-54.93%
Sharpe Ratio 0.0580.083
Sortino Ratio 0.0620.084
Calmar Ratio 0.8574.233
Ulcer Index 41.3324.40
📅 Daily Performance
Win Rate % 53.9%54.5%
Positive Days 180182
Negative Days 154152
Best Day % +58.79%+46.56%
Worst Day % -47.91%-48.30%
Avg Gain (Up Days) % +5.73%+5.31%
Avg Loss (Down Days) % -5.60%-4.96%
Profit Factor 1.201.28
🔥 Streaks & Patterns
Longest Win Streak days 98
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.1961.282
Expectancy % +0.51%+0.64%
Kelly Criterion % 1.58%2.42%
📅 Weekly Performance
Best Week % +56.09%+62.79%
Worst Week % -21.65%-25.74%
Weekly Win Rate % 58.8%56.9%
📆 Monthly Performance
Best Month % +83.05%+91.31%
Worst Month % -28.23%-28.51%
Monthly Win Rate % 46.2%53.8%
🔧 Technical Indicators
RSI (14-period) 60.4363.22
Price vs 50-Day MA % +107.65%+107.19%
Price vs 200-Day MA % +151.94%+163.70%

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 AVAX (AVAX): 0.688 (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
AVAX: Kraken