PYTH PYTH / MDAO Crypto vs ARB ARB / 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 / MDAOARB / MDAO
📈 Performance Metrics
Start Price 6.239.34
End Price 6.5218.34
Price Change % +4.76%+96.41%
Period High 12.7136.77
Period Low 2.888.69
Price Range % 341.4%323.1%
🏆 All-Time Records
All-Time High 12.7136.77
Days Since ATH 3 days3 days
Distance From ATH % -48.7%-50.1%
All-Time Low 2.888.69
Distance From ATL % +126.4%+111.0%
New ATHs Hit 16 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%5.81%
Biggest Jump (1 Day) % +2.88+8.73
Biggest Drop (1 Day) % -6.09-17.99
Days Above Avg % 48.0%40.4%
Extreme Moves days 13 (3.8%)16 (4.7%)
Stability Score % 0.0%41.8%
Trend Strength % 54.2%55.4%
Recent Momentum (10-day) % +58.62%+63.08%
📊 Statistical Measures
Average Price 5.3713.75
Median Price 5.2813.27
Price Std Deviation 1.343.04
🚀 Returns & Growth
CAGR % +5.07%+105.10%
Annualized Return % +5.07%+105.10%
Total Return % +4.76%+96.41%
⚠️ Risk & Volatility
Daily Volatility % 8.31%8.00%
Annualized Volatility % 158.71%152.93%
Max Drawdown % -66.53%-58.62%
Sharpe Ratio 0.0430.066
Sortino Ratio 0.0450.066
Calmar Ratio 0.0761.793
Ulcer Index 40.4830.30
📅 Daily Performance
Win Rate % 54.2%55.4%
Positive Days 186190
Negative Days 157153
Best Day % +58.79%+49.25%
Worst Day % -47.91%-48.94%
Avg Gain (Up Days) % +5.26%+5.30%
Avg Loss (Down Days) % -5.44%-5.40%
Profit Factor 1.141.22
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.1441.219
Expectancy % +0.36%+0.53%
Kelly Criterion % 1.26%1.84%
📅 Weekly Performance
Best Week % +37.96%+36.14%
Worst Week % -21.65%-28.91%
Weekly Win Rate % 59.6%61.5%
📆 Monthly Performance
Best Month % +36.97%+78.45%
Worst Month % -28.23%-23.02%
Monthly Win Rate % 46.2%61.5%
🔧 Technical Indicators
RSI (14-period) 62.6762.75
Price vs 50-Day MA % +31.33%+28.24%
Price vs 200-Day MA % +33.47%+28.02%

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 ARB (ARB): 0.549 (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
ARB: Kraken