PYTH PYTH / API3 Crypto vs GSWIFT GSWIFT / USD Crypto

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

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Asset PYTH / API3GSWIFT / USD
📈 Performance Metrics
Start Price 0.240.05
End Price 0.160.00
Price Change % -32.41%-94.44%
Period High 0.290.16
Period Low 0.070.00
Price Range % 290.0%5,751.2%
🏆 All-Time Records
All-Time High 0.290.16
Days Since ATH 231 days313 days
Distance From ATH % -44.8%-98.3%
All-Time Low 0.070.00
Distance From ATL % +115.3%+1.2%
New ATHs Hit 8 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.18%6.76%
Biggest Jump (1 Day) % +0.10+0.04
Biggest Drop (1 Day) % -0.07-0.02
Days Above Avg % 45.6%31.0%
Extreme Moves days 7 (2.0%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 51.6%58.7%
Recent Momentum (10-day) % -4.61%-18.09%
📊 Statistical Measures
Average Price 0.190.03
Median Price 0.190.01
Price Std Deviation 0.040.03
🚀 Returns & Growth
CAGR % -34.09%-95.34%
Annualized Return % -34.09%-95.34%
Total Return % -32.41%-94.44%
⚠️ Risk & Volatility
Daily Volatility % 7.50%8.19%
Annualized Volatility % 143.25%156.38%
Max Drawdown % -74.36%-98.29%
Sharpe Ratio 0.017-0.063
Sortino Ratio 0.022-0.074
Calmar Ratio -0.458-0.970
Ulcer Index 34.9182.30
📅 Daily Performance
Win Rate % 48.4%41.1%
Positive Days 166141
Negative Days 177202
Best Day % +100.01%+43.94%
Worst Day % -40.21%-42.04%
Avg Gain (Up Days) % +3.65%+5.74%
Avg Loss (Down Days) % -3.18%-4.88%
Profit Factor 1.080.82
🔥 Streaks & Patterns
Longest Win Streak days 85
Longest Loss Streak days 1011
💹 Trading Metrics
Omega Ratio 1.0760.821
Expectancy % +0.12%-0.51%
Kelly Criterion % 1.07%0.00%
📅 Weekly Performance
Best Week % +90.77%+70.81%
Worst Week % -34.62%-33.97%
Weekly Win Rate % 50.9%43.4%
📆 Monthly Performance
Best Month % +32.24%+140.27%
Worst Month % -54.84%-57.63%
Monthly Win Rate % 53.8%23.1%
🔧 Technical Indicators
RSI (14-period) 33.8616.79
Price vs 50-Day MA % -5.91%-49.28%
Price vs 200-Day MA % -4.05%-69.00%

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 GSWIFT (GSWIFT): 0.459 (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
GSWIFT: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures