GSWIFT GSWIFT / MDAO Crypto vs LAYER LAYER / 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 / MDAOLAYER / USD
📈 Performance Metrics
Start Price 2.100.99
End Price 0.190.20
Price Change % -91.01%-79.46%
Period High 2.363.28
Period Low 0.110.19
Price Range % 2,011.6%1,603.1%
🏆 All-Time Records
All-Time High 2.363.28
Days Since ATH 313 days195 days
Distance From ATH % -92.0%-93.8%
All-Time Low 0.110.19
Distance From ATL % +69.3%+5.2%
New ATHs Hit 1 times22 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.01%5.56%
Biggest Jump (1 Day) % +0.30+0.42
Biggest Drop (1 Day) % -0.33-1.27
Days Above Avg % 34.6%31.9%
Extreme Moves days 15 (4.8%)10 (3.9%)
Stability Score % 0.0%0.0%
Trend Strength % 57.0%50.0%
Recent Momentum (10-day) % +15.60%-5.80%
📊 Statistical Measures
Average Price 0.580.87
Median Price 0.470.67
Price Std Deviation 0.460.63
🚀 Returns & Growth
CAGR % -93.92%-89.53%
Annualized Return % -93.92%-89.53%
Total Return % -91.01%-79.46%
⚠️ Risk & Volatility
Daily Volatility % 8.61%7.29%
Annualized Volatility % 164.58%139.19%
Max Drawdown % -95.26%-94.13%
Sharpe Ratio -0.047-0.046
Sortino Ratio -0.054-0.044
Calmar Ratio -0.986-0.951
Ulcer Index 78.0471.58
📅 Daily Performance
Win Rate % 43.0%49.4%
Positive Days 135125
Negative Days 179128
Best Day % +47.21%+30.07%
Worst Day % -31.02%-42.51%
Avg Gain (Up Days) % +6.55%+4.57%
Avg Loss (Down Days) % -5.65%-5.14%
Profit Factor 0.870.87
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 117
💹 Trading Metrics
Omega Ratio 0.8740.870
Expectancy % -0.41%-0.34%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +31.86%+37.78%
Worst Week % -29.97%-60.64%
Weekly Win Rate % 54.2%50.0%
📆 Monthly Performance
Best Month % +35.72%+102.21%
Worst Month % -48.95%-74.52%
Monthly Win Rate % 33.3%30.0%
🔧 Technical Indicators
RSI (14-period) 67.1740.19
Price vs 50-Day MA % +29.17%-25.81%
Price vs 200-Day MA % -41.96%-69.72%

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 LAYER (LAYER): 0.792 (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
LAYER: Kraken