QUICK QUICK / MDAO Crypto vs PYTH PYTH / MDAO Crypto

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

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Asset QUICK / MDAOPYTH / MDAO
📈 Performance Metrics
Start Price 0.937.30
End Price 2.4412.89
Price Change % +161.04%+76.54%
Period High 2.4413.14
Period Low 0.482.88
Price Range % 409.6%356.3%
🏆 All-Time Records
All-Time High 2.4413.14
Days Since ATH 0 days1 days
Distance From ATH % +0.0%-2.0%
All-Time Low 0.482.88
Distance From ATL % +409.6%+347.4%
New ATHs Hit 18 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.86%5.96%
Biggest Jump (1 Day) % +0.57+3.03
Biggest Drop (1 Day) % -1.07-6.09
Days Above Avg % 43.7%45.8%
Extreme Moves days 14 (4.3%)13 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 56.8%53.4%
Recent Momentum (10-day) % +14.68%+10.28%
📊 Statistical Measures
Average Price 0.855.32
Median Price 0.815.13
Price Std Deviation 0.271.47
🚀 Returns & Growth
CAGR % +196.72%+90.46%
Annualized Return % +196.72%+90.46%
Total Return % +161.04%+76.54%
⚠️ Risk & Volatility
Daily Volatility % 8.35%8.81%
Annualized Volatility % 159.50%168.39%
Max Drawdown % -60.59%-64.03%
Sharpe Ratio 0.0780.064
Sortino Ratio 0.0790.070
Calmar Ratio 3.2471.413
Ulcer Index 31.5238.24
📅 Daily Performance
Win Rate % 56.8%53.4%
Positive Days 183172
Negative Days 139150
Best Day % +47.51%+58.79%
Worst Day % -48.58%-47.91%
Avg Gain (Up Days) % +5.35%+5.84%
Avg Loss (Down Days) % -5.54%-5.49%
Profit Factor 1.271.22
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 58
💹 Trading Metrics
Omega Ratio 1.2731.220
Expectancy % +0.65%+0.56%
Kelly Criterion % 2.20%1.75%
📅 Weekly Performance
Best Week % +64.93%+56.09%
Worst Week % -21.49%-21.65%
Weekly Win Rate % 59.2%59.2%
📆 Monthly Performance
Best Month % +104.28%+83.05%
Worst Month % -21.02%-28.11%
Monthly Win Rate % 50.0%50.0%
🔧 Technical Indicators
RSI (14-period) 63.9360.43
Price vs 50-Day MA % +141.28%+107.65%
Price vs 200-Day MA % +171.52%+151.94%

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): 0.742 (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