ACM ACM / MOG Crypto vs GSWIFT GSWIFT / USD 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 / MOGGSWIFT / USD
📈 Performance Metrics
Start Price 865,384.620.05
End Price 1,656,303.000.00
Price Change % +91.40%-96.52%
Period High 2,677,536.230.16
Period Low 434,303.700.00
Price Range % 516.5%9,074.7%
🏆 All-Time Records
All-Time High 2,677,536.230.16
Days Since ATH 198 days317 days
Distance From ATH % -38.1%-98.9%
All-Time Low 434,303.700.00
Distance From ATL % +281.4%+0.0%
New ATHs Hit 23 times9 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.99%6.90%
Biggest Jump (1 Day) % +321,214.39+0.04
Biggest Drop (1 Day) % -494,382.72-0.02
Days Above Avg % 37.5%29.1%
Extreme Moves days 20 (5.8%)15 (4.4%)
Stability Score % 100.0%0.0%
Trend Strength % 52.5%59.3%
Recent Momentum (10-day) % +45.35%-44.35%
📊 Statistical Measures
Average Price 1,091,790.630.03
Median Price 943,695.040.01
Price Std Deviation 463,212.130.03
🚀 Returns & Growth
CAGR % +99.53%-97.31%
Annualized Return % +99.53%-97.31%
Total Return % +91.40%-96.52%
⚠️ Risk & Volatility
Daily Volatility % 7.81%8.35%
Annualized Volatility % 149.12%159.47%
Max Drawdown % -83.78%-98.91%
Sharpe Ratio 0.064-0.078
Sortino Ratio 0.063-0.091
Calmar Ratio 1.188-0.984
Ulcer Index 49.0283.58
📅 Daily Performance
Win Rate % 52.5%40.7%
Positive Days 180138
Negative Days 163201
Best Day % +32.73%+43.94%
Worst Day % -25.50%-42.04%
Avg Gain (Up Days) % +6.10%+5.76%
Avg Loss (Down Days) % -5.69%-5.05%
Profit Factor 1.180.78
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 611
💹 Trading Metrics
Omega Ratio 1.1840.784
Expectancy % +0.50%-0.65%
Kelly Criterion % 1.44%0.00%
📅 Weekly Performance
Best Week % +36.61%+70.81%
Worst Week % -44.96%-33.97%
Weekly Win Rate % 61.5%43.1%
📆 Monthly Performance
Best Month % +55.23%+138.60%
Worst Month % -34.87%-57.63%
Monthly Win Rate % 53.8%15.4%
🔧 Technical Indicators
RSI (14-period) 75.248.98
Price vs 50-Day MA % +37.84%-65.56%
Price vs 200-Day MA % +58.39%-79.90%
💰 Volume Analysis
Avg Volume 1,631,592,614,1229,327,229
Total Volume 561,267,859,257,8543,171,257,880

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 GSWIFT (GSWIFT): -0.341 (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
GSWIFT: Bybit