PYTH PYTH / MDAO Crypto vs SRM SRM / 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 / MDAOSRM / MDAO
📈 Performance Metrics
Start Price 7.240.64
End Price 12.891.28
Price Change % +77.90%+99.95%
Period High 13.141.40
Period Low 2.880.27
Price Range % 356.3%425.6%
🏆 All-Time Records
All-Time High 13.141.40
Days Since ATH 1 days1 days
Distance From ATH % -2.0%-8.7%
All-Time Low 2.880.27
Distance From ATL % +347.4%+380.0%
New ATHs Hit 9 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.93%6.05%
Biggest Jump (1 Day) % +3.03+0.36
Biggest Drop (1 Day) % -6.09-0.56
Days Above Avg % 46.1%47.6%
Extreme Moves days 13 (4.0%)13 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 54.1%46.8%
Recent Momentum (10-day) % +10.28%+17.53%
📊 Statistical Measures
Average Price 5.360.59
Median Price 5.190.58
Price Std Deviation 1.490.16
🚀 Returns & Growth
CAGR % +89.47%+115.70%
Annualized Return % +89.47%+115.70%
Total Return % +77.90%+99.95%
⚠️ Risk & Volatility
Daily Volatility % 8.77%10.38%
Annualized Volatility % 167.57%198.23%
Max Drawdown % -64.03%-69.89%
Sharpe Ratio 0.0640.068
Sortino Ratio 0.0690.093
Calmar Ratio 1.3971.655
Ulcer Index 37.8734.31
📅 Daily Performance
Win Rate % 54.1%46.8%
Positive Days 178154
Negative Days 151175
Best Day % +58.79%+75.40%
Worst Day % -47.91%-48.07%
Avg Gain (Up Days) % +5.74%+7.22%
Avg Loss (Down Days) % -5.56%-5.04%
Profit Factor 1.221.26
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 810
💹 Trading Metrics
Omega Ratio 1.2191.262
Expectancy % +0.56%+0.70%
Kelly Criterion % 1.75%1.93%
📅 Weekly Performance
Best Week % +56.09%+72.07%
Worst Week % -21.65%-26.10%
Weekly Win Rate % 60.0%58.0%
📆 Monthly Performance
Best Month % +83.05%+64.59%
Worst Month % -28.11%-25.89%
Monthly Win Rate % 50.0%50.0%
🔧 Technical Indicators
RSI (14-period) 60.4362.48
Price vs 50-Day MA % +107.65%+108.57%
Price vs 200-Day MA % +151.94%+125.23%

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 SRM (SRM): 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
SRM: Kraken