ACM ACM / 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 ACM / MDAOPYTH / MDAO
📈 Performance Metrics
Start Price 30.097.49
End Price 91.8412.89
Price Change % +205.21%+71.98%
Period High 91.8413.14
Period Low 18.182.88
Price Range % 405.1%356.3%
🏆 All-Time Records
All-Time High 91.8413.14
Days Since ATH 0 days1 days
Distance From ATH % +0.0%-2.0%
All-Time Low 18.182.88
Distance From ATL % +405.1%+347.4%
New ATHs Hit 16 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.96%5.89%
Biggest Jump (1 Day) % +22.50+3.03
Biggest Drop (1 Day) % -37.21-6.09
Days Above Avg % 43.4%44.5%
Extreme Moves days 16 (4.7%)13 (3.8%)
Stability Score % 75.4%0.0%
Trend Strength % 53.3%54.1%
Recent Momentum (10-day) % +17.25%+10.28%
📊 Statistical Measures
Average Price 31.345.43
Median Price 30.575.27
Price Std Deviation 8.811.53
🚀 Returns & Growth
CAGR % +233.66%+79.60%
Annualized Return % +233.66%+79.60%
Total Return % +205.21%+71.98%
⚠️ Risk & Volatility
Daily Volatility % 7.69%8.73%
Annualized Volatility % 146.99%166.72%
Max Drawdown % -60.62%-66.53%
Sharpe Ratio 0.0820.062
Sortino Ratio 0.0910.067
Calmar Ratio 3.8551.196
Ulcer Index 25.5641.09
📅 Daily Performance
Win Rate % 53.3%54.1%
Positive Days 180183
Negative Days 158155
Best Day % +44.19%+58.79%
Worst Day % -48.60%-47.91%
Avg Gain (Up Days) % +4.84%+5.71%
Avg Loss (Down Days) % -4.17%-5.56%
Profit Factor 1.321.21
🔥 Streaks & Patterns
Longest Win Streak days 89
Longest Loss Streak days 68
💹 Trading Metrics
Omega Ratio 1.3231.211
Expectancy % +0.63%+0.54%
Kelly Criterion % 3.12%1.70%
📅 Weekly Performance
Best Week % +76.60%+56.09%
Worst Week % -27.71%-21.65%
Weekly Win Rate % 64.7%58.8%
📆 Monthly Performance
Best Month % +127.18%+83.05%
Worst Month % -31.60%-28.23%
Monthly Win Rate % 61.5%53.8%
🔧 Technical Indicators
RSI (14-period) 65.4860.43
Price vs 50-Day MA % +151.66%+107.65%
Price vs 200-Day MA % +175.24%+151.94%

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).

ACM (ACM) vs PYTH (PYTH): 0.659 (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

ACM: Binance
PYTH: Kraken
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