PYTH PYTH / MDAO Crypto vs GMT GMT / 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 / MDAOGMT / MDAO
📈 Performance Metrics
Start Price 6.222.14
End Price 8.271.90
Price Change % +32.89%-11.28%
Period High 12.713.94
Period Low 2.880.82
Price Range % 341.4%382.6%
🏆 All-Time Records
All-Time High 12.713.94
Days Since ATH 5 days326 days
Distance From ATH % -35.0%-51.9%
All-Time Low 2.880.82
Distance From ATL % +187.1%+132.1%
New ATHs Hit 16 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.56%5.50%
Biggest Jump (1 Day) % +2.88+1.01
Biggest Drop (1 Day) % -6.09-1.47
Days Above Avg % 46.8%40.4%
Extreme Moves days 14 (4.1%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 54.2%47.8%
Recent Momentum (10-day) % +52.99%+47.66%
📊 Statistical Measures
Average Price 5.391.95
Median Price 5.281.84
Price Std Deviation 1.370.64
🚀 Returns & Growth
CAGR % +35.33%-11.96%
Annualized Return % +35.33%-11.96%
Total Return % +32.89%-11.28%
⚠️ Risk & Volatility
Daily Volatility % 8.41%8.00%
Annualized Volatility % 160.64%152.85%
Max Drawdown % -66.53%-79.28%
Sharpe Ratio 0.0520.037
Sortino Ratio 0.0550.038
Calmar Ratio 0.531-0.151
Ulcer Index 40.5352.61
📅 Daily Performance
Win Rate % 54.2%52.2%
Positive Days 186179
Negative Days 157164
Best Day % +58.79%+46.64%
Worst Day % -47.91%-49.34%
Avg Gain (Up Days) % +5.39%+5.51%
Avg Loss (Down Days) % -5.43%-5.39%
Profit Factor 1.181.11
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1761.114
Expectancy % +0.44%+0.30%
Kelly Criterion % 1.49%0.99%
📅 Weekly Performance
Best Week % +37.96%+38.47%
Worst Week % -21.65%-21.76%
Weekly Win Rate % 59.6%53.8%
📆 Monthly Performance
Best Month % +37.06%+84.46%
Worst Month % -28.23%-36.11%
Monthly Win Rate % 53.8%46.2%
🔧 Technical Indicators
RSI (14-period) 67.6867.29
Price vs 50-Day MA % +59.09%+49.10%
Price vs 200-Day MA % +67.81%+10.26%

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 GMT (GMT): 0.764 (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
GMT: Kraken
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