PYTH PYTH / CFX Crypto vs GSWIFT GSWIFT / CFX Crypto

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

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Asset PYTH / CFXGSWIFT / CFX
📈 Performance Metrics
Start Price 2.130.66
End Price 0.960.02
Price Change % -54.63%-97.46%
Period High 2.410.66
Period Low 0.520.02
Price Range % 359.2%3,835.7%
🏆 All-Time Records
All-Time High 2.410.66
Days Since ATH 331 days309 days
Distance From ATH % -59.9%-97.5%
All-Time Low 0.520.02
Distance From ATL % +84.1%+0.0%
New ATHs Hit 3 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.94%5.30%
Biggest Jump (1 Day) % +0.50+0.08
Biggest Drop (1 Day) % -0.59-0.09
Days Above Avg % 52.9%34.1%
Extreme Moves days 7 (2.0%)17 (5.4%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%58.2%
Recent Momentum (10-day) % -0.70%-24.42%
📊 Statistical Measures
Average Price 1.490.19
Median Price 1.550.14
Price Std Deviation 0.510.16
🚀 Returns & Growth
CAGR % -56.88%-98.56%
Annualized Return % -56.88%-98.56%
Total Return % -54.63%-97.46%
⚠️ Risk & Volatility
Daily Volatility % 6.33%7.81%
Annualized Volatility % 121.01%149.18%
Max Drawdown % -78.23%-97.46%
Sharpe Ratio -0.006-0.107
Sortino Ratio -0.008-0.109
Calmar Ratio -0.727-1.011
Ulcer Index 43.6875.73
📅 Daily Performance
Win Rate % 48.8%41.8%
Positive Days 167132
Negative Days 175184
Best Day % +74.44%+39.83%
Worst Day % -47.11%-51.63%
Avg Gain (Up Days) % +3.19%+5.30%
Avg Loss (Down Days) % -3.13%-5.24%
Profit Factor 0.970.73
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 1010
💹 Trading Metrics
Omega Ratio 0.9750.726
Expectancy % -0.04%-0.83%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +48.76%+20.70%
Worst Week % -43.63%-50.22%
Weekly Win Rate % 48.1%27.1%
📆 Monthly Performance
Best Month % +67.93%+2.58%
Worst Month % -60.62%-58.23%
Monthly Win Rate % 53.8%16.7%
🔧 Technical Indicators
RSI (14-period) 58.0021.52
Price vs 50-Day MA % -4.61%-48.78%
Price vs 200-Day MA % -15.94%-81.70%

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): 0.819 (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

PYTH: Kraken
GSWIFT: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures