ACM ACM / GSWIFT Crypto vs MATH MATH / GSWIFT Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset ACM / GSWIFTMATH / GSWIFT
📈 Performance Metrics
Start Price 14.112.71
End Price 351.1734.78
Price Change % +2,387.95%+1,184.38%
Period High 351.1734.78
Period Low 13.032.45
Price Range % 2,596.0%1,318.6%
🏆 All-Time Records
All-Time High 351.1734.78
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 13.032.45
Distance From ATL % +2,596.0%+1,318.6%
New ATHs Hit 59 times48 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.55%4.67%
Biggest Jump (1 Day) % +48.98+5.91
Biggest Drop (1 Day) % -21.47-3.46
Days Above Avg % 41.4%47.5%
Extreme Moves days 26 (8.3%)19 (6.1%)
Stability Score % 91.9%35.6%
Trend Strength % 58.1%56.5%
Recent Momentum (10-day) % +44.87%+47.77%
📊 Statistical Measures
Average Price 86.5910.75
Median Price 73.5210.48
Price Std Deviation 56.815.33
🚀 Returns & Growth
CAGR % +4,143.65%+1,862.85%
Annualized Return % +4,143.65%+1,862.85%
Total Return % +2,387.95%+1,184.38%
⚠️ Risk & Volatility
Daily Volatility % 7.01%6.93%
Annualized Volatility % 133.85%132.33%
Max Drawdown % -38.97%-41.58%
Sharpe Ratio 0.1820.153
Sortino Ratio 0.1960.165
Calmar Ratio 106.34144.802
Ulcer Index 13.1016.35
📅 Daily Performance
Win Rate % 58.1%56.5%
Positive Days 182177
Negative Days 131136
Best Day % +27.96%+33.95%
Worst Day % -29.29%-29.28%
Avg Gain (Up Days) % +5.37%+5.27%
Avg Loss (Down Days) % -4.41%-4.43%
Profit Factor 1.691.55
🔥 Streaks & Patterns
Longest Win Streak days 910
Longest Loss Streak days 34
💹 Trading Metrics
Omega Ratio 1.6911.549
Expectancy % +1.28%+1.06%
Kelly Criterion % 5.39%4.53%
📅 Weekly Performance
Best Week % +36.23%+32.64%
Worst Week % -13.36%-12.24%
Weekly Win Rate % 64.6%68.8%
📆 Monthly Performance
Best Month % +107.50%+89.25%
Worst Month % -1.24%-7.76%
Monthly Win Rate % 91.7%91.7%
🔧 Technical Indicators
RSI (14-period) 87.1285.39
Price vs 50-Day MA % +98.74%+90.73%
Price vs 200-Day MA % +202.52%+155.14%
💰 Volume Analysis
Avg Volume 165,662,145218,328,599
Total Volume 52,017,913,49868,555,180,160

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 MATH (MATH): 0.976 (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

ACM: Binance
MATH: Coinbase