PYTH PYTH / MDAO Crypto vs SPK SPK / 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 / MDAOSPK / MDAO
📈 Performance Metrics
Start Price 8.291.70
End Price 12.895.08
Price Change % +55.42%+199.11%
Period High 13.146.26
Period Low 2.880.79
Price Range % 356.3%697.6%
🏆 All-Time Records
All-Time High 13.146.26
Days Since ATH 1 days99 days
Distance From ATH % -2.0%-18.9%
All-Time Low 2.880.79
Distance From ATL % +347.4%+547.0%
New ATHs Hit 8 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.89%11.96%
Biggest Jump (1 Day) % +3.03+3.51
Biggest Drop (1 Day) % -6.09-2.83
Days Above Avg % 44.8%39.8%
Extreme Moves days 13 (3.9%)7 (5.3%)
Stability Score % 0.0%0.0%
Trend Strength % 54.2%47.0%
Recent Momentum (10-day) % +10.28%+17.39%
📊 Statistical Measures
Average Price 5.422.24
Median Price 5.261.81
Price Std Deviation 1.521.17
🚀 Returns & Growth
CAGR % +61.45%+1,968.94%
Annualized Return % +61.45%+1,968.94%
Total Return % +55.42%+199.11%
⚠️ Risk & Volatility
Daily Volatility % 8.73%19.06%
Annualized Volatility % 166.88%364.08%
Max Drawdown % -66.53%-81.58%
Sharpe Ratio 0.0580.124
Sortino Ratio 0.0630.190
Calmar Ratio 0.92424.135
Ulcer Index 41.2158.28
📅 Daily Performance
Win Rate % 54.2%47.0%
Positive Days 18262
Negative Days 15470
Best Day % +58.79%+127.32%
Worst Day % -47.91%-52.97%
Avg Gain (Up Days) % +5.68%+13.94%
Avg Loss (Down Days) % -5.60%-7.90%
Profit Factor 1.201.56
🔥 Streaks & Patterns
Longest Win Streak days 95
Longest Loss Streak days 811
💹 Trading Metrics
Omega Ratio 1.1991.562
Expectancy % +0.51%+2.35%
Kelly Criterion % 1.61%2.14%
📅 Weekly Performance
Best Week % +56.09%+63.06%
Worst Week % -21.65%-43.22%
Weekly Win Rate % 58.8%57.1%
📆 Monthly Performance
Best Month % +83.05%+125.14%
Worst Month % -28.23%-58.31%
Monthly Win Rate % 53.8%66.7%
🔧 Technical Indicators
RSI (14-period) 60.4364.33
Price vs 50-Day MA % +107.65%+129.67%
Price vs 200-Day MA % +151.94%N/A

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 SPK (SPK): 0.575 (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
SPK: Kraken
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