PYTH PYTH / GSWIFT Crypto vs USUAL USUAL / GSWIFT Crypto

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

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Asset PYTH / GSWIFTUSUAL / GSWIFT
📈 Performance Metrics
Start Price 3.285.56
End Price 62.6319.75
Price Change % +1,812.09%+255.22%
Period High 62.6319.75
Period Low 3.105.56
Price Range % 1,918.1%255.2%
🏆 All-Time Records
All-Time High 62.6319.75
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 3.105.56
Distance From ATL % +1,918.1%+255.2%
New ATHs Hit 40 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%6.14%
Biggest Jump (1 Day) % +16.74+3.42
Biggest Drop (1 Day) % -3.33-4.02
Days Above Avg % 37.2%47.1%
Extreme Moves days 9 (2.9%)14 (5.4%)
Stability Score % 35.7%16.7%
Trend Strength % 56.6%51.9%
Recent Momentum (10-day) % +38.98%+28.50%
📊 Statistical Measures
Average Price 14.0110.28
Median Price 11.2710.23
Price Std Deviation 9.151.78
🚀 Returns & Growth
CAGR % +3,091.69%+492.68%
Annualized Return % +3,091.69%+492.68%
Total Return % +1,812.09%+255.22%
⚠️ Risk & Volatility
Daily Volatility % 9.01%8.57%
Annualized Volatility % 172.10%163.65%
Max Drawdown % -32.87%-51.54%
Sharpe Ratio 0.1440.098
Sortino Ratio 0.1980.117
Calmar Ratio 94.0579.559
Ulcer Index 15.3430.62
📅 Daily Performance
Win Rate % 56.6%51.9%
Positive Days 176135
Negative Days 135125
Best Day % +96.03%+52.14%
Worst Day % -26.77%-26.19%
Avg Gain (Up Days) % +5.97%+6.74%
Avg Loss (Down Days) % -4.80%-5.54%
Profit Factor 1.621.31
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 46
💹 Trading Metrics
Omega Ratio 1.6241.315
Expectancy % +1.30%+0.84%
Kelly Criterion % 4.53%2.25%
📅 Weekly Performance
Best Week % +65.04%+54.85%
Worst Week % -11.35%-22.09%
Weekly Win Rate % 74.5%59.0%
📆 Monthly Performance
Best Month % +94.65%+75.52%
Worst Month % -5.72%-24.29%
Monthly Win Rate % 83.3%72.7%
🔧 Technical Indicators
RSI (14-period) 84.4679.62
Price vs 50-Day MA % +97.41%+76.73%
Price vs 200-Day MA % +247.64%+87.21%

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).

PYTH (PYTH) vs USUAL (USUAL): 0.533 (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

PYTH: Kraken
USUAL: Kraken
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