GSWIFT GSWIFT / MDAO Crypto vs MEMEFI MEMEFI / MDAO 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 / MDAOMEMEFI / MDAO

📈 Performance Metrics

Start Price 2.260.13

End Price 0.190.13

Price Change % -91.64%-1.89%

Period High 2.260.23

Period Low 0.110.02

Price Range % 1,924.9%827.1%

🏆 All-Time Records

All-Time High 2.260.23

Days Since ATH 310 days177 days

Distance From ATH % -91.6%-44.3%

All-Time Low 0.110.02

Distance From ATL % +69.3%+416.6%

New ATHs Hit 0 times5 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.88%9.21%

Biggest Jump (1 Day) % +0.30+0.08

Biggest Drop (1 Day) % -0.33-0.13

Days Above Avg % 38.3%34.5%

Extreme Moves days 15 (4.8%)8 (2.5%)

Stability Score % 0.0%0.0%

Trend Strength % 57.4%54.0%

Recent Momentum (10-day) % +15.60%+14.31%

📊 Statistical Measures

Average Price 0.560.06

Median Price 0.470.05

Price Std Deviation 0.420.04

🚀 Returns & Growth

CAGR % -94.62%-2.13%

Annualized Return % -94.62%-2.13%

Total Return % -91.64%-1.89%

⚠️ Risk & Volatility

Daily Volatility % 8.60%16.13%

Annualized Volatility % 164.36%308.23%

Max Drawdown % -95.06%-86.95%

Sharpe Ratio -0.0510.062

Sortino Ratio -0.0590.098

Calmar Ratio -0.995-0.024

Ulcer Index 77.7369.68

📅 Daily Performance

Win Rate % 42.6%46.0%

Positive Days 132149

Negative Days 178175

Best Day % +47.21%+155.07%

Worst Day % -31.02%-59.06%

Avg Gain (Up Days) % +6.54%+9.88%

Avg Loss (Down Days) % -5.61%-6.56%

Profit Factor 0.861.28

🔥 Streaks & Patterns

Longest Win Streak days 57

Longest Loss Streak days 118

💹 Trading Metrics

Omega Ratio 0.8631.282

Expectancy % -0.44%+1.00%

Kelly Criterion % 0.00%1.54%

📅 Weekly Performance

Best Week % +31.86%+342.40%

Worst Week % -29.97%-64.60%

Weekly Win Rate % 51.1%46.9%

📆 Monthly Performance

Best Month % +35.72%+376.52%

Worst Month % -52.51%-69.80%

Monthly Win Rate % 33.3%50.0%

🔧 Technical Indicators

RSI (14-period) 67.1763.66

Price vs 50-Day MA % +29.17%+121.85%

Price vs 200-Day MA % -41.96%+99.23%

💰 Volume Analysis

Avg Volume 335,125,37315,924,371,072

Total Volume 104,223,990,9825,175,420,598,553

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 MEMEFI (MEMEFI):	0.317 (Moderate 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
MEMEFI: Bybit