PYTH PYTH / MDAO Crypto vs RSC RSC / 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 / MDAORSC / MDAO
📈 Performance Metrics
Start Price 6.0320.72
End Price 8.0324.15
Price Change % +33.17%+16.55%
Period High 12.7134.62
Period Low 2.888.99
Price Range % 341.4%285.1%
🏆 All-Time Records
All-Time High 12.7134.62
Days Since ATH 4 days3 days
Distance From ATH % -36.9%-30.3%
All-Time Low 2.888.99
Distance From ATL % +178.7%+168.6%
New ATHs Hit 17 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.56%10.08%
Biggest Jump (1 Day) % +2.88+11.31
Biggest Drop (1 Day) % -6.09-14.79
Days Above Avg % 47.4%42.0%
Extreme Moves days 14 (4.1%)3 (3.8%)
Stability Score % 0.0%14.8%
Trend Strength % 54.5%55.0%
Recent Momentum (10-day) % +54.42%+59.18%
📊 Statistical Measures
Average Price 5.3817.24
Median Price 5.2816.48
Price Std Deviation 1.365.85
🚀 Returns & Growth
CAGR % +35.64%+101.13%
Annualized Return % +35.64%+101.13%
Total Return % +33.17%+16.55%
⚠️ Risk & Volatility
Daily Volatility % 8.41%14.70%
Annualized Volatility % 160.59%280.86%
Max Drawdown % -66.53%-69.52%
Sharpe Ratio 0.0520.082
Sortino Ratio 0.0550.094
Calmar Ratio 0.5361.455
Ulcer Index 40.4945.44
📅 Daily Performance
Win Rate % 54.5%55.0%
Positive Days 18744
Negative Days 15636
Best Day % +58.79%+68.60%
Worst Day % -47.91%-42.71%
Avg Gain (Up Days) % +5.36%+9.86%
Avg Loss (Down Days) % -5.46%-9.37%
Profit Factor 1.181.29
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 1.1761.287
Expectancy % +0.44%+1.21%
Kelly Criterion % 1.49%1.31%
📅 Weekly Performance
Best Week % +37.96%+23.36%
Worst Week % -21.65%-32.43%
Weekly Win Rate % 59.6%64.3%
📆 Monthly Performance
Best Month % +41.46%+27.44%
Worst Month % -28.23%-42.14%
Monthly Win Rate % 53.8%60.0%
🔧 Technical Indicators
RSI (14-period) 68.7169.09
Price vs 50-Day MA % +57.70%+58.78%
Price vs 200-Day MA % +63.54%N/A

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 RSC (RSC): 0.702 (Strong 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
RSC: Coinbase
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