PYTH PYTH / ANLOG 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 / ANLOGGSWIFT / USD
📈 Performance Metrics
Start Price 66.630.16
End Price 70.070.00
Price Change % +5.17%-98.91%
Period High 175.230.16
Period Low 52.510.00
Price Range % 233.7%9,074.7%
🏆 All-Time Records
All-Time High 175.230.16
Days Since ATH 73 days317 days
Distance From ATH % -60.0%-98.9%
All-Time Low 52.510.00
Distance From ATL % +33.4%+0.0%
New ATHs Hit 8 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.27%6.17%
Biggest Jump (1 Day) % +87.66+0.02
Biggest Drop (1 Day) % -58.20-0.02
Days Above Avg % 33.7%25.2%
Extreme Moves days 11 (4.1%)20 (6.3%)
Stability Score % 88.6%0.0%
Trend Strength % 48.0%60.9%
Recent Momentum (10-day) % -10.56%-44.35%
📊 Statistical Measures
Average Price 96.390.03
Median Price 88.850.01
Price Std Deviation 25.800.03
🚀 Returns & Growth
CAGR % +7.08%-99.45%
Annualized Return % +7.08%-99.45%
Total Return % +5.17%-98.91%
⚠️ Risk & Volatility
Daily Volatility % 11.01%7.66%
Annualized Volatility % 210.36%146.37%
Max Drawdown % -70.03%-98.91%
Sharpe Ratio 0.051-0.146
Sortino Ratio 0.065-0.156
Calmar Ratio 0.101-1.005
Ulcer Index 37.3286.41
📅 Daily Performance
Win Rate % 48.1%39.1%
Positive Days 129124
Negative Days 139193
Best Day % +100.10%+43.94%
Worst Day % -40.65%-42.04%
Avg Gain (Up Days) % +7.36%+4.98%
Avg Loss (Down Days) % -5.75%-5.04%
Profit Factor 1.190.63
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 711
💹 Trading Metrics
Omega Ratio 1.1880.635
Expectancy % +0.56%-1.12%
Kelly Criterion % 1.32%0.00%
📅 Weekly Performance
Best Week % +70.53%+13.87%
Worst Week % -28.77%-33.97%
Weekly Win Rate % 61.0%39.6%
📆 Monthly Performance
Best Month % +70.75%+23.35%
Worst Month % -30.47%-61.96%
Monthly Win Rate % 54.5%8.3%
🔧 Technical Indicators
RSI (14-period) 52.108.98
Price vs 50-Day MA % -28.56%-65.56%
Price vs 200-Day MA % -27.02%-79.90%

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): -0.262 (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
ByBit Futures Trading Trade hundreds of crypto perpetual futures