PYTH PYTH / UNI Crypto vs MDAO MDAO / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / UNIMDAO / USD
📈 Performance Metrics
Start Price 0.050.07
End Price 0.020.01
Price Change % -61.27%-79.43%
Period High 0.050.08
Period Low 0.010.01
Price Range % 352.7%435.8%
🏆 All-Time Records
All-Time High 0.050.08
Days Since ATH 333 days315 days
Distance From ATH % -63.1%-81.3%
All-Time Low 0.010.01
Distance From ATL % +67.0%+0.0%
New ATHs Hit 3 times5 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.41%3.01%
Biggest Jump (1 Day) % +0.01+0.01
Biggest Drop (1 Day) % -0.01-0.01
Days Above Avg % 51.2%40.6%
Extreme Moves days 5 (1.5%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%54.1%
Recent Momentum (10-day) % -0.73%-38.67%
📊 Statistical Measures
Average Price 0.020.04
Median Price 0.020.03
Price Std Deviation 0.010.02
🚀 Returns & Growth
CAGR % -63.56%-81.33%
Annualized Return % -63.56%-81.33%
Total Return % -61.27%-79.43%
⚠️ Risk & Volatility
Daily Volatility % 6.78%5.77%
Annualized Volatility % 129.56%110.22%
Max Drawdown % -77.91%-81.34%
Sharpe Ratio -0.014-0.050
Sortino Ratio -0.022-0.054
Calmar Ratio -0.816-1.000
Ulcer Index 56.4153.83
📅 Daily Performance
Win Rate % 46.8%44.0%
Positive Days 160146
Negative Days 182186
Best Day % +96.02%+44.65%
Worst Day % -17.33%-45.99%
Avg Gain (Up Days) % +3.51%+3.21%
Avg Loss (Down Days) % -3.26%-3.06%
Profit Factor 0.940.83
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 79
💹 Trading Metrics
Omega Ratio 0.9440.826
Expectancy % -0.10%-0.30%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +67.34%+39.72%
Worst Week % -25.03%-26.07%
Weekly Win Rate % 48.1%30.8%
📆 Monthly Performance
Best Month % +55.70%+52.04%
Worst Month % -31.51%-56.16%
Monthly Win Rate % 38.5%23.1%
🔧 Technical Indicators
RSI (14-period) 38.329.28
Price vs 50-Day MA % -1.01%-61.99%
Price vs 200-Day MA % -1.24%-51.16%

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 MDAO (MDAO): 0.607 (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
MDAO: Bybit