GSWIFT GSWIFT / USD Crypto vs PYTH PYTH / 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 / USDPYTH / USD
📈 Performance Metrics
Start Price 0.130.47
End Price 0.000.06
Price Change % -98.62%-87.11%
Period High 0.130.49
Period Low 0.000.06
Price Range % 7,147.0%707.4%
🏆 All-Time Records
All-Time High 0.130.49
Days Since ATH 306 days342 days
Distance From ATH % -98.6%-87.6%
All-Time Low 0.000.06
Distance From ATL % +0.0%+0.0%
New ATHs Hit 0 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.16%4.61%
Biggest Jump (1 Day) % +0.02+0.11
Biggest Drop (1 Day) % -0.02-0.06
Days Above Avg % 24.1%30.5%
Extreme Moves days 19 (6.2%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 61.4%53.1%
Recent Momentum (10-day) % -44.35%-10.12%
📊 Statistical Measures
Average Price 0.020.17
Median Price 0.010.14
Price Std Deviation 0.020.09
🚀 Returns & Growth
CAGR % -99.40%-88.70%
Annualized Return % -99.40%-88.70%
Total Return % -98.62%-87.11%
⚠️ Risk & Volatility
Daily Volatility % 7.66%7.94%
Annualized Volatility % 146.31%151.68%
Max Drawdown % -98.62%-87.61%
Sharpe Ratio -0.143-0.042
Sortino Ratio -0.154-0.054
Calmar Ratio -1.008-1.012
Ulcer Index 85.2068.28
📅 Daily Performance
Win Rate % 38.6%46.8%
Positive Days 118160
Negative Days 188182
Best Day % +43.94%+99.34%
Worst Day % -42.04%-32.57%
Avg Gain (Up Days) % +5.04%+4.61%
Avg Loss (Down Days) % -4.95%-4.68%
Profit Factor 0.640.87
🔥 Streaks & Patterns
Longest Win Streak days 57
Longest Loss Streak days 116
💹 Trading Metrics
Omega Ratio 0.6390.866
Expectancy % -1.10%-0.33%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +13.87%+65.86%
Worst Week % -33.97%-27.08%
Weekly Win Rate % 40.4%45.3%
📆 Monthly Performance
Best Month % +23.35%+65.32%
Worst Month % -57.63%-32.91%
Monthly Win Rate % 8.3%30.8%
🔧 Technical Indicators
RSI (14-period) 8.9840.67
Price vs 50-Day MA % -65.56%-32.08%
Price vs 200-Day MA % -79.90%-50.26%

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 PYTH (PYTH): 0.954 (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
PYTH: Kraken