PYTH PYTH / MDAO Crypto vs FLOKI FLOKI / 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 / MDAOFLOKI / MDAO
📈 Performance Metrics
Start Price 7.940.00
End Price 12.890.01
Price Change % +62.37%+105.09%
Period High 13.140.01
Period Low 2.880.00
Price Range % 356.3%349.2%
🏆 All-Time Records
All-Time High 13.140.01
Days Since ATH 1 days0 days
Distance From ATH % -2.0%+0.0%
All-Time Low 2.880.00
Distance From ATL % +347.4%+349.2%
New ATHs Hit 7 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.94%6.18%
Biggest Jump (1 Day) % +3.03+0.00
Biggest Drop (1 Day) % -6.090.00
Days Above Avg % 46.3%45.4%
Extreme Moves days 13 (4.0%)17 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 53.8%52.6%
Recent Momentum (10-day) % +10.28%+8.39%
📊 Statistical Measures
Average Price 5.350.00
Median Price 5.190.00
Price Std Deviation 1.480.00
🚀 Returns & Growth
CAGR % +71.78%+122.94%
Annualized Return % +71.78%+122.94%
Total Return % +62.37%+105.09%
⚠️ Risk & Volatility
Daily Volatility % 8.79%8.53%
Annualized Volatility % 167.97%163.03%
Max Drawdown % -64.03%-63.25%
Sharpe Ratio 0.0610.069
Sortino Ratio 0.0660.074
Calmar Ratio 1.1211.944
Ulcer Index 37.9835.04
📅 Daily Performance
Win Rate % 53.8%52.6%
Positive Days 176172
Negative Days 151155
Best Day % +58.79%+47.85%
Worst Day % -47.91%-48.58%
Avg Gain (Up Days) % +5.76%+6.04%
Avg Loss (Down Days) % -5.56%-5.46%
Profit Factor 1.211.23
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.2081.228
Expectancy % +0.53%+0.59%
Kelly Criterion % 1.67%1.79%
📅 Weekly Performance
Best Week % +56.09%+60.25%
Worst Week % -21.65%-26.44%
Weekly Win Rate % 60.0%56.0%
📆 Monthly Performance
Best Month % +83.05%+77.00%
Worst Month % -28.11%-41.77%
Monthly Win Rate % 50.0%41.7%
🔧 Technical Indicators
RSI (14-period) 60.4361.65
Price vs 50-Day MA % +107.65%+114.76%
Price vs 200-Day MA % +151.94%+131.75%

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 FLOKI (FLOKI): 0.605 (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
FLOKI: Kraken