PYTH PYTH / MDAO Crypto vs RPL RPL / 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 / MDAORPL / MDAO
📈 Performance Metrics
Start Price 6.23167.82
End Price 6.52215.98
Price Change % +4.76%+28.69%
Period High 12.71436.37
Period Low 2.88115.80
Price Range % 341.4%276.8%
🏆 All-Time Records
All-Time High 12.71436.37
Days Since ATH 3 days3 days
Distance From ATH % -48.7%-50.5%
All-Time Low 2.88115.80
Distance From ATL % +126.4%+86.5%
New ATHs Hit 16 times18 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%5.98%
Biggest Jump (1 Day) % +2.88+101.08
Biggest Drop (1 Day) % -6.09-224.07
Days Above Avg % 48.0%41.6%
Extreme Moves days 13 (3.8%)14 (4.1%)
Stability Score % 0.0%95.7%
Trend Strength % 54.2%51.0%
Recent Momentum (10-day) % +58.62%+58.57%
📊 Statistical Measures
Average Price 5.37197.31
Median Price 5.28190.04
Price Std Deviation 1.3446.81
🚀 Returns & Growth
CAGR % +5.07%+30.79%
Annualized Return % +5.07%+30.79%
Total Return % +4.76%+28.69%
⚠️ Risk & Volatility
Daily Volatility % 8.31%8.43%
Annualized Volatility % 158.71%161.07%
Max Drawdown % -66.53%-67.98%
Sharpe Ratio 0.0430.052
Sortino Ratio 0.0450.055
Calmar Ratio 0.0760.453
Ulcer Index 40.4834.50
📅 Daily Performance
Win Rate % 54.2%51.0%
Positive Days 186175
Negative Days 157168
Best Day % +58.79%+52.74%
Worst Day % -47.91%-51.35%
Avg Gain (Up Days) % +5.26%+6.00%
Avg Loss (Down Days) % -5.44%-5.35%
Profit Factor 1.141.17
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1441.168
Expectancy % +0.36%+0.44%
Kelly Criterion % 1.26%1.37%
📅 Weekly Performance
Best Week % +37.96%+58.92%
Worst Week % -21.65%-26.68%
Weekly Win Rate % 59.6%55.8%
📆 Monthly Performance
Best Month % +36.97%+51.21%
Worst Month % -28.23%-30.34%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 62.6763.92
Price vs 50-Day MA % +31.33%+27.26%
Price vs 200-Day MA % +33.47%+6.24%

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 RPL (RPL): 0.343 (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
RPL: Kraken
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