PYTH PYTH / B3 Crypto vs MCDX MCDX / 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 / B3MCDX / USD
📈 Performance Metrics
Start Price 23.69292.49
End Price 72.62308.75
Price Change % +206.55%+5.56%
Period High 78.77317.22
Period Low 23.45292.11
Price Range % 235.8%8.6%
🏆 All-Time Records
All-Time High 78.77317.22
Days Since ATH 59 days53 days
Distance From ATH % -7.8%-2.7%
All-Time Low 23.45292.11
Distance From ATL % +209.6%+5.7%
New ATHs Hit 23 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.65%0.72%
Biggest Jump (1 Day) % +39.25+8.31
Biggest Drop (1 Day) % -12.55-7.05
Days Above Avg % 36.6%46.4%
Extreme Moves days 5 (2.2%)9 (8.1%)
Stability Score % 78.7%99.7%
Trend Strength % 55.3%54.1%
Recent Momentum (10-day) % +14.16%+2.24%
📊 Statistical Measures
Average Price 41.63303.98
Median Price 38.85303.11
Price Std Deviation 12.116.03
🚀 Returns & Growth
CAGR % +510.54%+19.47%
Annualized Return % +510.54%+19.47%
Total Return % +206.55%+5.56%
⚠️ Risk & Volatility
Daily Volatility % 8.89%0.95%
Annualized Volatility % 169.76%18.23%
Max Drawdown % -42.21%-7.20%
Sharpe Ratio 0.0910.056
Sortino Ratio 0.1300.056
Calmar Ratio 12.0962.703
Ulcer Index 21.123.20
📅 Daily Performance
Win Rate % 55.6%55.6%
Positive Days 12560
Negative Days 10048
Best Day % +99.34%+2.78%
Worst Day % -24.37%-2.29%
Avg Gain (Up Days) % +5.00%+0.71%
Avg Loss (Down Days) % -4.41%-0.77%
Profit Factor 1.421.16
🔥 Streaks & Patterns
Longest Win Streak days 84
Longest Loss Streak days 64
💹 Trading Metrics
Omega Ratio 1.4161.160
Expectancy % +0.82%+0.05%
Kelly Criterion % 3.69%9.97%
📅 Weekly Performance
Best Week % +65.80%+3.00%
Worst Week % -18.21%-2.55%
Weekly Win Rate % 57.1%61.1%
📆 Monthly Performance
Best Month % +73.76%+3.14%
Worst Month % -10.46%-3.15%
Monthly Win Rate % 66.7%60.0%
🔧 Technical Indicators
RSI (14-period) 87.2867.44
Price vs 50-Day MA % +27.18%+1.88%
Price vs 200-Day MA % +67.00%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 MCDX (MCDX): 0.276 (Weak)

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
MCDX: Bybit