FLOCK FLOCK / 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 FLOCK / MDAOPYTH / MDAO
📈 Performance Metrics
Start Price 14.016.23
End Price 12.156.52
Price Change % -13.26%+4.76%
Period High 24.6912.71
Period Low 1.482.88
Price Range % 1,569.2%341.4%
🏆 All-Time Records
All-Time High 24.6912.71
Days Since ATH 3 days3 days
Distance From ATH % -50.8%-48.7%
All-Time Low 1.482.88
Distance From ATL % +721.9%+126.4%
New ATHs Hit 6 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 10.64%5.49%
Biggest Jump (1 Day) % +5.82+2.88
Biggest Drop (1 Day) % -12.04-6.09
Days Above Avg % 44.7%48.0%
Extreme Moves days 15 (5.1%)13 (3.8%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%54.2%
Recent Momentum (10-day) % +61.19%+58.62%
📊 Statistical Measures
Average Price 5.565.37
Median Price 4.965.28
Price Std Deviation 3.721.34
🚀 Returns & Growth
CAGR % -16.19%+5.07%
Annualized Return % -16.19%+5.07%
Total Return % -13.26%+4.76%
⚠️ Risk & Volatility
Daily Volatility % 13.54%8.31%
Annualized Volatility % 258.76%158.71%
Max Drawdown % -89.45%-66.53%
Sharpe Ratio 0.0610.043
Sortino Ratio 0.0720.045
Calmar Ratio -0.1810.076
Ulcer Index 66.3840.48
📅 Daily Performance
Win Rate % 49.3%54.2%
Positive Days 145186
Negative Days 149157
Best Day % +84.05%+58.79%
Worst Day % -48.78%-47.91%
Avg Gain (Up Days) % +10.23%+5.26%
Avg Loss (Down Days) % -8.33%-5.44%
Profit Factor 1.191.14
🔥 Streaks & Patterns
Longest Win Streak days 69
Longest Loss Streak days 98
💹 Trading Metrics
Omega Ratio 1.1941.144
Expectancy % +0.82%+0.36%
Kelly Criterion % 0.96%1.26%
📅 Weekly Performance
Best Week % +186.85%+37.96%
Worst Week % -58.38%-21.65%
Weekly Win Rate % 55.6%59.6%
📆 Monthly Performance
Best Month % +88.76%+36.97%
Worst Month % -85.89%-28.23%
Monthly Win Rate % 50.0%46.2%
🔧 Technical Indicators
RSI (14-period) 65.2562.67
Price vs 50-Day MA % +21.65%+31.33%
Price vs 200-Day MA % +84.23%+33.47%

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).

FLOCK (FLOCK) vs PYTH (PYTH): 0.219 (Weak)

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

FLOCK: Bybit
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures