PYTH PYTH / MCDX Crypto vs BB BB / MCDX 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 / MCDXBB / MCDX
📈 Performance Metrics
Start Price 0.000.00
End Price 0.000.00
Price Change % -12.83%-3.42%
Period High 0.000.00
Period Low 0.000.00
Price Range % 151.1%202.4%
🏆 All-Time Records
All-Time High 0.000.00
Days Since ATH 58 days32 days
Distance From ATH % -59.9%-66.7%
All-Time Low 0.000.00
Distance From ATL % +0.6%+0.7%
New ATHs Hit 12 times19 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.24%5.92%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 43.6%37.8%
Extreme Moves days 2 (1.8%)4 (3.6%)
Stability Score % 0.0%0.0%
Trend Strength % 54.1%52.7%
Recent Momentum (10-day) % -21.17%-30.54%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -36.86%-10.90%
Annualized Return % -36.86%-10.90%
Total Return % -12.83%-3.42%
⚠️ Risk & Volatility
Daily Volatility % 11.31%9.07%
Annualized Volatility % 216.01%173.21%
Max Drawdown % -60.17%-66.94%
Sharpe Ratio 0.0320.043
Sortino Ratio 0.0520.049
Calmar Ratio -0.612-0.163
Ulcer Index 30.1527.16
📅 Daily Performance
Win Rate % 45.9%47.3%
Positive Days 5052
Negative Days 5958
Best Day % +97.62%+42.79%
Worst Day % -33.69%-44.64%
Avg Gain (Up Days) % +6.18%+6.57%
Avg Loss (Down Days) % -4.57%-5.15%
Profit Factor 1.151.14
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.1471.145
Expectancy % +0.36%+0.39%
Kelly Criterion % 1.29%1.16%
📅 Weekly Performance
Best Week % +67.14%+44.84%
Worst Week % -19.04%-16.77%
Weekly Win Rate % 64.7%64.7%
📆 Monthly Performance
Best Month % +62.07%+38.71%
Worst Month % -19.30%-43.32%
Monthly Win Rate % 60.0%60.0%
🔧 Technical Indicators
RSI (14-period) 38.3525.85
Price vs 50-Day MA % -36.75%-49.06%

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 BB (BB): 0.705 (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
BB: Bybit