GSWIFT GSWIFT / MDAO Crypto vs TRAC TRAC / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset GSWIFT / MDAOTRAC / USD
📈 Performance Metrics
Start Price 1.810.97
End Price 0.190.47
Price Change % -89.55%-51.52%
Period High 2.361.18
Period Low 0.110.30
Price Range % 2,011.6%298.6%
🏆 All-Time Records
All-Time High 2.361.18
Days Since ATH 313 days339 days
Distance From ATH % -92.0%-60.2%
All-Time Low 0.110.30
Distance From ATL % +69.3%+58.7%
New ATHs Hit 3 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.97%4.34%
Biggest Jump (1 Day) % +0.30+0.12
Biggest Drop (1 Day) % -0.33-0.11
Days Above Avg % 31.9%29.7%
Extreme Moves days 15 (4.7%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 57.1%56.0%
Recent Momentum (10-day) % +15.60%+0.47%
📊 Statistical Measures
Average Price 0.600.50
Median Price 0.470.43
Price Std Deviation 0.490.19
🚀 Returns & Growth
CAGR % -92.45%-53.72%
Annualized Return % -92.45%-53.72%
Total Return % -89.55%-51.52%
⚠️ Risk & Volatility
Daily Volatility % 8.61%6.03%
Annualized Volatility % 164.43%115.21%
Max Drawdown % -95.26%-74.91%
Sharpe Ratio -0.040-0.006
Sortino Ratio -0.047-0.007
Calmar Ratio -0.970-0.717
Ulcer Index 77.4360.10
📅 Daily Performance
Win Rate % 42.9%44.0%
Positive Days 137151
Negative Days 182192
Best Day % +47.21%+24.99%
Worst Day % -31.02%-20.24%
Avg Gain (Up Days) % +6.61%+4.87%
Avg Loss (Down Days) % -5.59%-3.90%
Profit Factor 0.890.98
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 116
💹 Trading Metrics
Omega Ratio 0.8910.984
Expectancy % -0.35%-0.03%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +31.86%+50.91%
Worst Week % -29.97%-33.41%
Weekly Win Rate % 54.2%48.1%
📆 Monthly Performance
Best Month % +35.72%+55.15%
Worst Month % -44.14%-28.84%
Monthly Win Rate % 33.3%38.5%
🔧 Technical Indicators
RSI (14-period) 67.1741.09
Price vs 50-Day MA % +29.17%-5.59%
Price vs 200-Day MA % -41.96%+10.65%
💰 Volume Analysis
Avg Volume 327,635,781132,171
Total Volume 104,843,450,03045,466,981

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 TRAC (TRAC): 0.896 (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
TRAC: Kraken