PYTH PYTH / MDAO Crypto vs NODL NODL / 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 / MDAONODL / MDAO
📈 Performance Metrics
Start Price 8.460.06
End Price 12.890.02
Price Change % +52.32%-71.74%
Period High 13.140.10
Period Low 2.880.01
Price Range % 356.3%1,375.9%
🏆 All-Time Records
All-Time High 13.140.10
Days Since ATH 1 days101 days
Distance From ATH % -2.0%-83.5%
All-Time Low 2.880.01
Distance From ATL % +347.4%+143.8%
New ATHs Hit 7 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.91%7.82%
Biggest Jump (1 Day) % +3.03+0.09
Biggest Drop (1 Day) % -6.09-0.05
Days Above Avg % 44.9%49.4%
Extreme Moves days 13 (3.9%)2 (0.6%)
Stability Score % 0.0%0.0%
Trend Strength % 54.0%55.5%
Recent Momentum (10-day) % +10.28%-1.09%
📊 Statistical Measures
Average Price 5.410.03
Median Price 5.240.03
Price Std Deviation 1.520.02
🚀 Returns & Growth
CAGR % +58.17%-74.76%
Annualized Return % +58.17%-74.76%
Total Return % +52.32%-71.74%
⚠️ Risk & Volatility
Daily Volatility % 8.75%32.78%
Annualized Volatility % 167.12%626.34%
Max Drawdown % -66.53%-92.73%
Sharpe Ratio 0.0580.044
Sortino Ratio 0.0620.137
Calmar Ratio 0.874-0.806
Ulcer Index 41.2759.89
📅 Daily Performance
Win Rate % 54.0%44.3%
Positive Days 181148
Negative Days 154186
Best Day % +58.79%+559.69%
Worst Day % -47.91%-50.73%
Avg Gain (Up Days) % +5.70%+12.38%
Avg Loss (Down Days) % -5.60%-7.27%
Profit Factor 1.201.35
🔥 Streaks & Patterns
Longest Win Streak days 98
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.1971.355
Expectancy % +0.51%+1.44%
Kelly Criterion % 1.59%1.60%
📅 Weekly Performance
Best Week % +56.09%+64.20%
Worst Week % -21.65%-73.47%
Weekly Win Rate % 58.8%39.2%
📆 Monthly Performance
Best Month % +83.05%+82.49%
Worst Month % -28.23%-65.63%
Monthly Win Rate % 53.8%30.8%
🔧 Technical Indicators
RSI (14-period) 60.4356.91
Price vs 50-Day MA % +107.65%+51.08%
Price vs 200-Day MA % +151.94%-21.82%

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 NODL (NODL): 0.347 (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
NODL: Kraken
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