MDAO MDAO / COQ Crypto vs PYTH PYTH / COQ Crypto

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

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Asset MDAO / COQPYTH / COQ
📈 Performance Metrics
Start Price 60,246.43207,565.93
End Price 30,000.00334,025.72
Price Change % -50.20%+60.93%
Period High 115,315.32448,149.59
Period Low 27,042.35146,060.06
Price Range % 326.4%206.8%
🏆 All-Time Records
All-Time High 115,315.32448,149.59
Days Since ATH 54 days74 days
Distance From ATH % -74.0%-25.5%
All-Time Low 27,042.35146,060.06
Distance From ATL % +10.9%+128.7%
New ATHs Hit 6 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 8.13%4.24%
Biggest Jump (1 Day) % +26,342.37+221,168.27
Biggest Drop (1 Day) % -27,031.18-83,311.19
Days Above Avg % 44.0%55.9%
Extreme Moves days 4 (3.5%)3 (2.4%)
Stability Score % 100.0%100.0%
Trend Strength % 59.1%53.2%
Recent Momentum (10-day) % -0.57%-12.31%
📊 Statistical Measures
Average Price 60,959.37282,294.65
Median Price 56,006.19301,724.14
Price Std Deviation 22,270.9976,028.55
🚀 Returns & Growth
CAGR % -89.06%+296.78%
Annualized Return % -89.06%+296.78%
Total Return % -50.20%+60.93%
⚠️ Risk & Volatility
Daily Volatility % 14.44%10.18%
Annualized Volatility % 275.80%194.51%
Max Drawdown % -76.55%-45.61%
Sharpe Ratio 0.0190.075
Sortino Ratio 0.0280.124
Calmar Ratio -1.1636.507
Ulcer Index 41.1521.22
📅 Daily Performance
Win Rate % 40.9%53.2%
Positive Days 4767
Negative Days 6859
Best Day % +97.41%+97.44%
Worst Day % -29.32%-25.47%
Avg Gain (Up Days) % +11.12%+4.83%
Avg Loss (Down Days) % -7.22%-3.85%
Profit Factor 1.061.42
🔥 Streaks & Patterns
Longest Win Streak days 45
Longest Loss Streak days 74
💹 Trading Metrics
Omega Ratio 1.0641.423
Expectancy % +0.28%+0.76%
Kelly Criterion % 0.34%4.10%
📅 Weekly Performance
Best Week % +52.89%+88.01%
Worst Week % -35.37%-16.72%
Weekly Win Rate % 22.2%55.0%
📆 Monthly Performance
Best Month % +107.85%+126.01%
Worst Month % -34.00%-17.27%
Monthly Win Rate % 20.0%33.3%
🔧 Technical Indicators
RSI (14-period) 59.7135.03
Price vs 50-Day MA % -50.39%-0.79%
💰 Volume Analysis
Avg Volume 5,149,226,267,9706,829,468,031,057
Total Volume 597,310,247,084,495867,342,439,944,260

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).

MDAO (MDAO) vs PYTH (PYTH): 0.443 (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

MDAO: Bybit
PYTH: Kraken