GSWIFT GSWIFT / ACM Crypto vs MATH MATH / 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 GSWIFT / ACMMATH / USD

📈 Performance Metrics

Start Price 0.030.27

End Price 0.000.06

Price Change % -91.11%-78.58%

Period High 0.080.39

Period Low 0.000.05

Price Range % 2,789.6%613.0%

🏆 All-Time Records

All-Time High 0.080.39

Days Since ATH 316 days320 days

Distance From ATH % -96.5%-84.9%

All-Time Low 0.000.05

Distance From ATL % +0.0%+7.3%

New ATHs Hit 8 times10 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.67%3.33%

Biggest Jump (1 Day) % +0.02+0.04

Biggest Drop (1 Day) % -0.01-0.04

Days Above Avg % 29.9%33.2%

Extreme Moves days 17 (5.1%)10 (2.9%)

Stability Score % 0.0%0.0%

Trend Strength % 56.9%54.7%

Recent Momentum (10-day) % -26.91%-18.20%

📊 Statistical Measures

Average Price 0.020.15

Median Price 0.010.12

Price Std Deviation 0.020.07

🚀 Returns & Growth

CAGR % -92.90%-80.69%

Annualized Return % -92.90%-80.69%

Total Return % -91.11%-78.58%

⚠️ Risk & Volatility

Daily Volatility % 7.66%4.80%

Annualized Volatility % 146.38%91.74%

Max Drawdown % -96.54%-85.97%

Sharpe Ratio -0.058-0.070

Sortino Ratio -0.067-0.075

Calmar Ratio -0.962-0.938

Ulcer Index 76.0663.22

📅 Daily Performance

Win Rate % 43.1%45.0%

Positive Days 144153

Negative Days 190187

Best Day % +41.42%+35.84%

Worst Day % -21.85%-25.52%

Avg Gain (Up Days) % +5.48%+3.35%

Avg Loss (Down Days) % -4.93%-3.36%

Profit Factor 0.840.82

🔥 Streaks & Patterns

Longest Win Streak days 49

Longest Loss Streak days 98

💹 Trading Metrics

Omega Ratio 0.8430.817

Expectancy % -0.44%-0.34%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +66.00%+24.61%

Worst Week % -26.59%-19.41%

Weekly Win Rate % 37.3%44.2%

📆 Monthly Performance

Best Month % +109.95%+18.54%

Worst Month % -51.81%-24.24%

Monthly Win Rate % 15.4%30.8%

🔧 Technical Indicators

RSI (14-period) 15.1444.93

Price vs 50-Day MA % -51.98%-28.53%

Price vs 200-Day MA % -72.05%-44.10%

💰 Volume Analysis

Avg Volume 10,267,6332,354,753

Total Volume 3,439,656,890807,680,444

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).

GSWIFT (GSWIFT) vs MATH (MATH):	0.947 (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

GSWIFT: Bybit
MATH: Coinbase