PYTH PYTH / MDAO Crypto vs CVC CVC / MDAO Crypto

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

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Asset PYTH / MDAOCVC / MDAO
📈 Performance Metrics
Start Price 6.762.47
End Price 12.897.83
Price Change % +90.72%+217.21%
Period High 13.147.90
Period Low 2.881.75
Price Range % 356.3%350.8%
🏆 All-Time Records
All-Time High 13.147.90
Days Since ATH 1 days1 days
Distance From ATH % -2.0%-0.9%
All-Time Low 2.881.75
Distance From ATL % +347.4%+346.7%
New ATHs Hit 11 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.93%5.37%
Biggest Jump (1 Day) % +3.03+2.01
Biggest Drop (1 Day) % -6.09-3.39
Days Above Avg % 46.3%39.0%
Extreme Moves days 13 (4.0%)14 (4.3%)
Stability Score % 0.0%0.0%
Trend Strength % 53.8%52.9%
Recent Momentum (10-day) % +10.28%+18.42%
📊 Statistical Measures
Average Price 5.333.52
Median Price 5.163.32
Price Std Deviation 1.471.03
🚀 Returns & Growth
CAGR % +106.50%+265.64%
Annualized Return % +106.50%+265.64%
Total Return % +90.72%+217.21%
⚠️ Risk & Volatility
Daily Volatility % 8.78%8.26%
Annualized Volatility % 167.67%157.72%
Max Drawdown % -64.03%-70.90%
Sharpe Ratio 0.0660.085
Sortino Ratio 0.0720.093
Calmar Ratio 1.6633.747
Ulcer Index 38.0734.65
📅 Daily Performance
Win Rate % 53.8%52.9%
Positive Days 175172
Negative Days 150153
Best Day % +58.79%+51.41%
Worst Day % -47.91%-48.55%
Avg Gain (Up Days) % +5.79%+5.58%
Avg Loss (Down Days) % -5.49%-4.78%
Profit Factor 1.231.31
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.2291.311
Expectancy % +0.58%+0.70%
Kelly Criterion % 1.83%2.62%
📅 Weekly Performance
Best Week % +56.09%+57.68%
Worst Week % -21.65%-24.52%
Weekly Win Rate % 59.2%57.1%
📆 Monthly Performance
Best Month % +83.05%+110.47%
Worst Month % -28.11%-36.07%
Monthly Win Rate % 50.0%58.3%
🔧 Technical Indicators
RSI (14-period) 60.4364.40
Price vs 50-Day MA % +107.65%+126.73%
Price vs 200-Day MA % +151.94%+107.38%

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 CVC (CVC): 0.574 (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
CVC: Kraken
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