QUICK QUICK / MCDX Crypto vs PYTH PYTH / 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 QUICK / MCDXPYTH / MCDX
📈 Performance Metrics
Start Price 0.000.00
End Price 0.000.00
Price Change % -41.17%-32.60%
Period High 0.000.00
Period Low 0.000.00
Price Range % 136.0%239.6%
🏆 All-Time Records
All-Time High 0.000.00
Days Since ATH 120 days82 days
Distance From ATH % -54.8%-69.0%
All-Time Low 0.000.00
Distance From ATL % +6.7%+5.2%
New ATHs Hit 7 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.48%5.07%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 62.7%47.8%
Extreme Moves days 5 (3.8%)3 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 51.1%55.6%
Recent Momentum (10-day) % -8.58%-6.17%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -76.68%-66.13%
Annualized Return % -76.68%-66.13%
Total Return % -41.17%-32.60%
⚠️ Risk & Volatility
Daily Volatility % 4.80%10.41%
Annualized Volatility % 91.66%198.89%
Max Drawdown % -57.63%-70.55%
Sharpe Ratio -0.0580.012
Sortino Ratio -0.0550.019
Calmar Ratio -1.330-0.937
Ulcer Index 27.6839.42
📅 Daily Performance
Win Rate % 48.9%44.4%
Positive Days 6559
Negative Days 6874
Best Day % +17.40%+97.62%
Worst Day % -24.40%-33.69%
Avg Gain (Up Days) % +3.21%+5.77%
Avg Loss (Down Days) % -3.62%-4.38%
Profit Factor 0.851.05
🔥 Streaks & Patterns
Longest Win Streak days 47
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 0.8491.050
Expectancy % -0.28%+0.12%
Kelly Criterion % 0.00%0.48%
📅 Weekly Performance
Best Week % +18.69%+67.14%
Worst Week % -17.42%-21.14%
Weekly Win Rate % 57.1%57.1%
📆 Monthly Performance
Best Month % +24.04%+62.07%
Worst Month % -33.63%-35.42%
Monthly Win Rate % 50.0%66.7%
🔧 Technical Indicators
RSI (14-period) 44.1639.52
Price vs 50-Day MA % -26.47%-30.42%

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).

QUICK (QUICK) vs PYTH (PYTH): 0.836 (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

QUICK: Binance
PYTH: Kraken
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