PYTH PYTH / MEW 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 / MEWGSWIFT / USD
📈 Performance Metrics
Start Price 40.090.05
End Price 63.520.00
Price Change % +58.45%-96.62%
Period High 91.370.16
Period Low 32.840.00
Price Range % 178.3%8,742.6%
🏆 All-Time Records
All-Time High 91.370.16
Days Since ATH 232 days317 days
Distance From ATH % -30.5%-98.9%
All-Time Low 32.840.00
Distance From ATL % +93.5%+0.0%
New ATHs Hit 21 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.18%6.80%
Biggest Jump (1 Day) % +36.42+0.04
Biggest Drop (1 Day) % -13.84-0.02
Days Above Avg % 54.7%30.1%
Extreme Moves days 7 (2.0%)16 (4.7%)
Stability Score % 87.8%0.0%
Trend Strength % 52.5%59.3%
Recent Momentum (10-day) % +8.51%-44.22%
📊 Statistical Measures
Average Price 53.060.03
Median Price 54.610.01
Price Std Deviation 13.980.03
🚀 Returns & Growth
CAGR % +63.20%-97.25%
Annualized Return % +63.20%-97.25%
Total Return % +58.45%-96.62%
⚠️ Risk & Volatility
Daily Volatility % 6.49%8.29%
Annualized Volatility % 123.97%158.43%
Max Drawdown % -64.06%-98.87%
Sharpe Ratio 0.047-0.078
Sortino Ratio 0.066-0.091
Calmar Ratio 0.987-0.984
Ulcer Index 39.1582.99
📅 Daily Performance
Win Rate % 52.6%40.5%
Positive Days 180139
Negative Days 162204
Best Day % +91.20%+43.94%
Worst Day % -18.56%-42.04%
Avg Gain (Up Days) % +3.34%+5.75%
Avg Loss (Down Days) % -3.07%-5.01%
Profit Factor 1.210.78
🔥 Streaks & Patterns
Longest Win Streak days 85
Longest Loss Streak days 811
💹 Trading Metrics
Omega Ratio 1.2090.783
Expectancy % +0.30%-0.65%
Kelly Criterion % 2.97%0.00%
📅 Weekly Performance
Best Week % +64.56%+70.81%
Worst Week % -29.34%-33.97%
Weekly Win Rate % 61.5%42.3%
📆 Monthly Performance
Best Month % +73.54%+123.38%
Worst Month % -35.64%-57.63%
Monthly Win Rate % 69.2%15.4%
🔧 Technical Indicators
RSI (14-period) 79.259.29
Price vs 50-Day MA % +8.72%-64.28%
Price vs 200-Day MA % +36.95%-79.14%

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): 0.158 (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