PYTH PYTH / MDAO Crypto vs ZIG ZIG / 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 / MDAOZIG / MDAO
📈 Performance Metrics
Start Price 8.461.95
End Price 12.899.61
Price Change % +52.32%+391.53%
Period High 13.149.61
Period Low 2.881.89
Price Range % 356.3%408.5%
🏆 All-Time Records
All-Time High 13.149.61
Days Since ATH 1 days0 days
Distance From ATH % -2.0%+0.0%
All-Time Low 2.881.89
Distance From ATL % +347.4%+408.5%
New ATHs Hit 7 times18 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.91%9.67%
Biggest Jump (1 Day) % +3.03+2.09
Biggest Drop (1 Day) % -6.09-3.80
Days Above Avg % 44.9%36.8%
Extreme Moves days 13 (3.9%)5 (8.9%)
Stability Score % 0.0%0.0%
Trend Strength % 54.0%57.1%
Recent Momentum (10-day) % +10.28%+8.44%
📊 Statistical Measures
Average Price 5.414.11
Median Price 5.243.29
Price Std Deviation 1.522.20
🚀 Returns & Growth
CAGR % +58.17%+3,216,669.56%
Annualized Return % +58.17%+3,216,669.56%
Total Return % +52.32%+391.53%
⚠️ Risk & Volatility
Daily Volatility % 8.75%12.34%
Annualized Volatility % 167.12%235.73%
Max Drawdown % -66.53%-46.28%
Sharpe Ratio 0.0580.296
Sortino Ratio 0.0620.354
Calmar Ratio 0.87469,497.782
Ulcer Index 41.2715.17
📅 Daily Performance
Win Rate % 54.0%57.1%
Positive Days 18132
Negative Days 15424
Best Day % +58.79%+39.90%
Worst Day % -47.91%-41.96%
Avg Gain (Up Days) % +5.70%+10.35%
Avg Loss (Down Days) % -5.60%-5.27%
Profit Factor 1.202.62
🔥 Streaks & Patterns
Longest Win Streak days 95
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 1.1972.616
Expectancy % +0.51%+3.65%
Kelly Criterion % 1.59%6.69%
📅 Weekly Performance
Best Week % +56.09%+50.70%
Worst Week % -21.65%-1.35%
Weekly Win Rate % 58.8%80.0%
📆 Monthly Performance
Best Month % +83.05%+76.23%
Worst Month % -28.23%25.46%
Monthly Win Rate % 53.8%100.0%
🔧 Technical Indicators
RSI (14-period) 60.4361.64
Price vs 50-Day MA % +107.65%+117.50%
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 ZIG (ZIG): 0.985 (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
ZIG: Kraken
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