PYTH PYTH / MDAO Crypto vs ZIG ZIG / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / MDAOZIG / USD
📈 Performance Metrics
Start Price 5.870.10
End Price 6.820.08
Price Change % +16.14%-13.84%
Period High 12.710.13
Period Low 2.880.07
Price Range % 341.4%74.0%
🏆 All-Time Records
All-Time High 12.710.13
Days Since ATH 2 days16 days
Distance From ATH % -46.4%-33.4%
All-Time Low 2.880.07
Distance From ATL % +136.7%+15.8%
New ATHs Hit 17 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.51%3.78%
Biggest Jump (1 Day) % +2.88+0.02
Biggest Drop (1 Day) % -6.09-0.03
Days Above Avg % 48.0%43.5%
Extreme Moves days 13 (3.8%)4 (8.9%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%53.3%
Recent Momentum (10-day) % +71.48%-31.23%
📊 Statistical Measures
Average Price 5.370.10
Median Price 5.280.10
Price Std Deviation 1.340.01
🚀 Returns & Growth
CAGR % +17.26%-70.12%
Annualized Return % +17.26%-70.12%
Total Return % +16.14%-13.84%
⚠️ Risk & Volatility
Daily Volatility % 8.31%6.15%
Annualized Volatility % 158.80%117.57%
Max Drawdown % -66.53%-42.52%
Sharpe Ratio 0.047-0.022
Sortino Ratio 0.049-0.022
Calmar Ratio 0.259-1.649
Ulcer Index 40.3918.85
📅 Daily Performance
Win Rate % 54.5%45.5%
Positive Days 18720
Negative Days 15624
Best Day % +58.79%+14.93%
Worst Day % -47.91%-24.63%
Avg Gain (Up Days) % +5.27%+4.10%
Avg Loss (Down Days) % -5.46%-3.67%
Profit Factor 1.160.93
🔥 Streaks & Patterns
Longest Win Streak days 94
Longest Loss Streak days 84
💹 Trading Metrics
Omega Ratio 1.1570.932
Expectancy % +0.39%-0.14%
Kelly Criterion % 1.36%0.00%
📅 Weekly Performance
Best Week % +37.96%+16.63%
Worst Week % -21.65%-4.91%
Weekly Win Rate % 56.6%44.4%
📆 Monthly Performance
Best Month % +45.24%+11.76%
Worst Month % -28.23%-1.09%
Monthly Win Rate % 46.2%66.7%
🔧 Technical Indicators
RSI (14-period) 66.2031.05
Price vs 50-Day MA % +38.14%N/A
Price vs 200-Day MA % +39.71%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): -0.570 (Moderate negative)

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