GSWIFT GSWIFT / PYTH Crypto vs AB AB / 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 / PYTHAB / USD
📈 Performance Metrics
Start Price 0.150.01
End Price 0.030.01
Price Change % -79.67%+1.79%
Period High 0.320.01
Period Low 0.030.01
Price Range % 1,001.3%18.0%
🏆 All-Time Records
All-Time High 0.320.01
Days Since ATH 302 days52 days
Distance From ATH % -90.5%-13.5%
All-Time Low 0.030.01
Distance From ATL % +4.6%+2.0%
New ATHs Hit 9 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.51%0.91%
Biggest Jump (1 Day) % +0.08+0.00
Biggest Drop (1 Day) % -0.030.00
Days Above Avg % 34.8%36.5%
Extreme Moves days 13 (3.8%)5 (8.1%)
Stability Score % 0.0%0.0%
Trend Strength % 55.4%43.5%
Recent Momentum (10-day) % -11.06%-0.22%
📊 Statistical Measures
Average Price 0.110.01
Median Price 0.090.01
Price Std Deviation 0.070.00
🚀 Returns & Growth
CAGR % -81.83%+11.00%
Annualized Return % -81.83%+11.00%
Total Return % -79.67%+1.79%
⚠️ Risk & Volatility
Daily Volatility % 7.87%1.63%
Annualized Volatility % 150.32%31.12%
Max Drawdown % -90.92%-13.70%
Sharpe Ratio -0.0190.026
Sortino Ratio -0.0210.030
Calmar Ratio -0.9000.803
Ulcer Index 66.5510.01
📅 Daily Performance
Win Rate % 44.6%45.8%
Positive Days 15227
Negative Days 18932
Best Day % +36.55%+7.52%
Worst Day % -48.99%-4.85%
Avg Gain (Up Days) % +5.83%+1.08%
Avg Loss (Down Days) % -4.95%-0.83%
Profit Factor 0.951.10
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 64
💹 Trading Metrics
Omega Ratio 0.9461.098
Expectancy % -0.15%+0.04%
Kelly Criterion % 0.00%4.93%
📅 Weekly Performance
Best Week % +49.37%+9.72%
Worst Week % -39.41%-8.03%
Weekly Win Rate % 31.4%50.0%
📆 Monthly Performance
Best Month % +60.92%+12.20%
Worst Month % -48.62%-6.00%
Monthly Win Rate % 25.0%33.3%
🔧 Technical Indicators
RSI (14-period) 31.7648.76
Price vs 50-Day MA % -18.44%-3.12%
Price vs 200-Day MA % -55.95%N/A
💰 Volume Analysis
Avg Volume 63,589,3727,111,000
Total Volume 21,747,565,139447,993,021

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 AB (AB): 0.298 (Weak)

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
AB: Kraken