PYTH PYTH / MCDX Crypto vs JEFF JEFF / 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 / MCDXJEFF / MCDX
📈 Performance Metrics
Start Price 0.000.00
End Price 0.000.00
Price Change % -31.32%-83.64%
Period High 0.000.00
Period Low 0.000.00
Price Range % 231.5%705.6%
🏆 All-Time Records
All-Time High 0.000.00
Days Since ATH 77 days57 days
Distance From ATH % -68.4%-85.2%
All-Time Low 0.000.00
Distance From ATL % +4.6%+19.5%
New ATHs Hit 12 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.10%2.15%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 46.5%56.9%
Extreme Moves days 3 (2.3%)5 (3.9%)
Stability Score % 0.0%0.0%
Trend Strength % 57.0%50.4%
Recent Momentum (10-day) % -8.04%-24.20%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -65.75%-99.40%
Annualized Return % -65.75%-99.40%
Total Return % -31.32%-83.64%
⚠️ Risk & Volatility
Daily Volatility % 10.59%7.93%
Annualized Volatility % 202.26%151.59%
Max Drawdown % -69.84%-87.59%
Sharpe Ratio 0.013-0.103
Sortino Ratio 0.021-0.079
Calmar Ratio -0.942-1.135
Ulcer Index 37.7526.32
📅 Daily Performance
Win Rate % 43.0%49.6%
Positive Days 5564
Negative Days 7365
Best Day % +97.62%+27.68%
Worst Day % -33.69%-74.46%
Avg Gain (Up Days) % +6.05%+1.65%
Avg Loss (Down Days) % -4.31%-3.24%
Profit Factor 1.060.50
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.0560.500
Expectancy % +0.14%-0.82%
Kelly Criterion % 0.53%0.00%
📅 Weekly Performance
Best Week % +67.14%+28.01%
Worst Week % -21.14%-70.54%
Weekly Win Rate % 60.0%20.0%
📆 Monthly Performance
Best Month % +62.07%+33.04%
Worst Month % -35.42%-70.54%
Monthly Win Rate % 66.7%16.7%
🔧 Technical Indicators
RSI (14-period) 47.8122.85
Price vs 50-Day MA % -34.35%-77.90%

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 JEFF (JEFF): 0.619 (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
JEFF: Bybit