PYTH PYTH / MDAO Crypto vs METIS METIS / 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 / MDAOMETIS / MDAO
📈 Performance Metrics
Start Price 7.95514.55
End Price 12.891,244.79
Price Change % +62.05%+141.92%
Period High 13.141,244.79
Period Low 2.88294.07
Price Range % 356.3%323.3%
🏆 All-Time Records
All-Time High 13.141,244.79
Days Since ATH 1 days0 days
Distance From ATH % -2.0%+0.0%
All-Time Low 2.88294.07
Distance From ATL % +347.4%+323.3%
New ATHs Hit 6 times15 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.97%6.90%
Biggest Jump (1 Day) % +3.03+262.26
Biggest Drop (1 Day) % -6.09-562.41
Days Above Avg % 46.5%49.3%
Extreme Moves days 13 (4.0%)10 (4.9%)
Stability Score % 0.0%98.4%
Trend Strength % 53.7%55.4%
Recent Momentum (10-day) % +10.28%+15.16%
📊 Statistical Measures
Average Price 5.34606.16
Median Price 5.19602.30
Price Std Deviation 1.48175.96
🚀 Returns & Growth
CAGR % +71.68%+385.81%
Annualized Return % +71.68%+385.81%
Total Return % +62.05%+141.92%
⚠️ Risk & Volatility
Daily Volatility % 8.81%9.90%
Annualized Volatility % 168.23%189.22%
Max Drawdown % -64.03%-66.23%
Sharpe Ratio 0.0610.094
Sortino Ratio 0.0660.098
Calmar Ratio 1.1195.825
Ulcer Index 38.0435.34
📅 Daily Performance
Win Rate % 53.7%55.4%
Positive Days 175113
Negative Days 15191
Best Day % +58.79%+46.55%
Worst Day % -47.91%-46.49%
Avg Gain (Up Days) % +5.79%+6.90%
Avg Loss (Down Days) % -5.56%-6.48%
Profit Factor 1.211.32
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 1.2071.324
Expectancy % +0.53%+0.94%
Kelly Criterion % 1.66%2.09%
📅 Weekly Performance
Best Week % +56.09%+57.02%
Worst Week % -21.65%-32.10%
Weekly Win Rate % 58.0%61.3%
📆 Monthly Performance
Best Month % +83.05%+104.52%
Worst Month % -28.11%-28.22%
Monthly Win Rate % 50.0%62.5%
🔧 Technical Indicators
RSI (14-period) 60.4360.22
Price vs 50-Day MA % +107.65%+117.39%
Price vs 200-Day MA % +151.94%+104.79%

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 METIS (METIS): 0.763 (Strong 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
METIS: Kraken