PYTH PYTH / GSWIFT Crypto vs OPEN OPEN / GSWIFT Crypto

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

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Asset PYTH / GSWIFTOPEN / GSWIFT
📈 Performance Metrics
Start Price 7.33243.31
End Price 62.63165.51
Price Change % +754.96%-31.98%
Period High 62.63243.31
Period Low 3.1089.64
Price Range % 1,918.1%171.4%
🏆 All-Time Records
All-Time High 62.63243.31
Days Since ATH 0 days38 days
Distance From ATH % +0.0%-32.0%
All-Time Low 3.1089.64
Distance From ATL % +1,918.1%+84.6%
New ATHs Hit 21 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.55%7.70%
Biggest Jump (1 Day) % +16.74+31.88
Biggest Drop (1 Day) % -3.33-54.21
Days Above Avg % 36.7%51.3%
Extreme Moves days 11 (3.4%)2 (5.3%)
Stability Score % 32.4%92.5%
Trend Strength % 55.5%50.0%
Recent Momentum (10-day) % +38.98%+33.16%
📊 Statistical Measures
Average Price 13.59138.97
Median Price 10.95139.07
Price Std Deviation 9.1530.26
🚀 Returns & Growth
CAGR % +1,005.19%-97.53%
Annualized Return % +1,005.19%-97.53%
Total Return % +754.96%-31.98%
⚠️ Risk & Volatility
Daily Volatility % 9.19%10.41%
Annualized Volatility % 175.56%198.92%
Max Drawdown % -57.64%-63.16%
Sharpe Ratio 0.112-0.045
Sortino Ratio 0.142-0.045
Calmar Ratio 17.440-1.544
Ulcer Index 22.9044.65
📅 Daily Performance
Win Rate % 55.5%50.0%
Positive Days 18119
Negative Days 14519
Best Day % +96.03%+34.76%
Worst Day % -26.77%-22.28%
Avg Gain (Up Days) % +5.99%+7.09%
Avg Loss (Down Days) % -5.17%-8.04%
Profit Factor 1.450.88
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.4470.882
Expectancy % +1.03%-0.47%
Kelly Criterion % 3.32%0.00%
📅 Weekly Performance
Best Week % +65.04%+22.94%
Worst Week % -33.05%-30.12%
Weekly Win Rate % 70.0%57.1%
📆 Monthly Performance
Best Month % +94.65%+35.07%
Worst Month % -43.65%-63.16%
Monthly Win Rate % 76.9%66.7%
🔧 Technical Indicators
RSI (14-period) 84.4676.25
Price vs 50-Day MA % +97.41%N/A
Price vs 200-Day MA % +247.64%N/A

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 OPEN (OPEN): 0.044 (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
OPEN: Kraken
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