ACM ACM / PYTH Crypto vs MSOL MSOL / USD Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset ACM / PYTHMSOL / USD
📈 Performance Metrics
Start Price 3.77263.65
End Price 5.87205.31
Price Change % +55.83%-22.13%
Period High 9.50326.81
Period Low 3.49134.15
Price Range % 172.3%143.6%
🏆 All-Time Records
All-Time High 9.50326.81
Days Since ATH 68 days277 days
Distance From ATH % -38.2%-37.2%
All-Time Low 3.49134.15
Distance From ATL % +68.2%+53.0%
New ATHs Hit 41 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.72%3.36%
Biggest Jump (1 Day) % +1.75+50.69
Biggest Drop (1 Day) % -4.05-56.19
Days Above Avg % 44.2%47.7%
Extreme Moves days 16 (4.7%)16 (4.7%)
Stability Score % 4.8%98.0%
Trend Strength % 53.1%48.7%
Recent Momentum (10-day) % +5.97%-25.75%
📊 Statistical Measures
Average Price 5.85232.57
Median Price 5.67229.45
Price Std Deviation 1.3846.82
🚀 Returns & Growth
CAGR % +60.33%-23.37%
Annualized Return % +60.33%-23.37%
Total Return % +55.83%-22.13%
⚠️ Risk & Volatility
Daily Volatility % 5.57%4.69%
Annualized Volatility % 106.45%89.56%
Max Drawdown % -55.68%-58.95%
Sharpe Ratio 0.0540.008
Sortino Ratio 0.0520.008
Calmar Ratio 1.084-0.396
Ulcer Index 19.5931.92
📅 Daily Performance
Win Rate % 53.1%51.0%
Positive Days 182174
Negative Days 161167
Best Day % +32.32%+23.88%
Worst Day % -49.05%-19.33%
Avg Gain (Up Days) % +3.65%+3.39%
Avg Loss (Down Days) % -3.49%-3.46%
Profit Factor 1.181.02
🔥 Streaks & Patterns
Longest Win Streak days 86
Longest Loss Streak days 75
💹 Trading Metrics
Omega Ratio 1.1831.022
Expectancy % +0.30%+0.04%
Kelly Criterion % 2.35%0.32%
📅 Weekly Performance
Best Week % +25.86%+39.54%
Worst Week % -41.21%-16.29%
Weekly Win Rate % 48.1%55.8%
📆 Monthly Performance
Best Month % +32.78%+24.05%
Worst Month % -37.10%-30.77%
Monthly Win Rate % 69.2%61.5%
🔧 Technical Indicators
RSI (14-period) 59.7524.93
Price vs 50-Day MA % +3.83%-25.29%
Price vs 200-Day MA % -11.45%-9.72%

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 MSOL (MSOL): -0.440 (Moderate negative)

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
MSOL: Kraken
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