PYTH PYTH / SCR Crypto vs GSWIFT GSWIFT / SCR Crypto

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

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Asset PYTH / SCRGSWIFT / SCR
📈 Performance Metrics
Start Price 0.630.07
End Price 0.660.01
Price Change % +5.92%-86.24%
Period High 0.680.17
Period Low 0.280.01
Price Range % 142.1%1,551.7%
🏆 All-Time Records
All-Time High 0.680.17
Days Since ATH 342 days317 days
Distance From ATH % -2.9%-93.9%
All-Time Low 0.280.01
Distance From ATL % +135.1%+0.0%
New ATHs Hit 1 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.33%6.24%
Biggest Jump (1 Day) % +0.30+0.04
Biggest Drop (1 Day) % -0.11-0.02
Days Above Avg % 38.7%38.4%
Extreme Moves days 6 (1.7%)22 (6.6%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%55.1%
Recent Momentum (10-day) % +8.59%-16.68%
📊 Statistical Measures
Average Price 0.440.05
Median Price 0.410.04
Price Std Deviation 0.090.03
🚀 Returns & Growth
CAGR % +6.31%-88.71%
Annualized Return % +6.31%-88.71%
Total Return % +5.92%-86.24%
⚠️ Risk & Volatility
Daily Volatility % 6.63%7.96%
Annualized Volatility % 126.74%152.06%
Max Drawdown % -58.69%-93.95%
Sharpe Ratio 0.029-0.036
Sortino Ratio 0.042-0.042
Calmar Ratio 0.108-0.944
Ulcer Index 37.2573.86
📅 Daily Performance
Win Rate % 50.7%44.9%
Positive Days 174149
Negative Days 169183
Best Day % +91.24%+36.28%
Worst Day % -15.67%-22.52%
Avg Gain (Up Days) % +3.51%+5.96%
Avg Loss (Down Days) % -3.22%-5.38%
Profit Factor 1.120.90
🔥 Streaks & Patterns
Longest Win Streak days 104
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.1220.902
Expectancy % +0.19%-0.29%
Kelly Criterion % 1.71%0.00%
📅 Weekly Performance
Best Week % +69.87%+42.63%
Worst Week % -19.65%-29.31%
Weekly Win Rate % 51.9%36.0%
📆 Monthly Performance
Best Month % +41.07%+81.21%
Worst Month % -33.42%-53.20%
Monthly Win Rate % 46.2%30.8%
🔧 Technical Indicators
RSI (14-period) 70.2427.81
Price vs 50-Day MA % +16.04%-42.16%
Price vs 200-Day MA % +44.35%-65.61%

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): 0.057 (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

PYTH: Kraken
GSWIFT: Bybit