PYTH PYTH / GSWIFT Crypto vs AURORA AURORA / GSWIFT Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / GSWIFTAURORA / GSWIFT
📈 Performance Metrics
Start Price 4.211.89
End Price 62.6342.46
Price Change % +1,386.94%+2,150.51%
Period High 62.6342.46
Period Low 3.101.52
Price Range % 1,918.1%2,685.5%
🏆 All-Time Records
All-Time High 62.6342.46
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 3.101.52
Distance From ATL % +1,918.1%+2,685.5%
New ATHs Hit 35 times46 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.51%5.14%
Biggest Jump (1 Day) % +16.74+13.53
Biggest Drop (1 Day) % -3.33-3.32
Days Above Avg % 37.0%40.7%
Extreme Moves days 10 (3.1%)13 (4.0%)
Stability Score % 33.7%0.0%
Trend Strength % 56.1%57.6%
Recent Momentum (10-day) % +38.98%+103.28%
📊 Statistical Measures
Average Price 13.708.22
Median Price 11.027.21
Price Std Deviation 9.175.84
🚀 Returns & Growth
CAGR % +2,052.70%+3,348.58%
Annualized Return % +2,052.70%+3,348.58%
Total Return % +1,386.94%+2,150.51%
⚠️ Risk & Volatility
Daily Volatility % 9.08%9.15%
Annualized Volatility % 173.45%174.73%
Max Drawdown % -33.17%-42.17%
Sharpe Ratio 0.1320.146
Sortino Ratio 0.1740.197
Calmar Ratio 61.87679.398
Ulcer Index 16.0515.78
📅 Daily Performance
Win Rate % 56.1%57.6%
Positive Days 180185
Negative Days 141136
Best Day % +96.03%+89.99%
Worst Day % -26.77%-29.96%
Avg Gain (Up Days) % +6.00%+5.65%
Avg Loss (Down Days) % -4.93%-4.53%
Profit Factor 1.551.70
🔥 Streaks & Patterns
Longest Win Streak days 611
Longest Loss Streak days 54
💹 Trading Metrics
Omega Ratio 1.5541.695
Expectancy % +1.20%+1.34%
Kelly Criterion % 4.05%5.21%
📅 Weekly Performance
Best Week % +65.04%+33.25%
Worst Week % -27.43%-12.52%
Weekly Win Rate % 73.5%63.3%
📆 Monthly Performance
Best Month % +94.65%+70.29%
Worst Month % -5.72%-13.50%
Monthly Win Rate % 76.9%84.6%
🔧 Technical Indicators
RSI (14-period) 84.4686.51
Price vs 50-Day MA % +97.41%+147.05%
Price vs 200-Day MA % +247.64%+292.57%

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 AURORA (AURORA): 0.928 (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
AURORA: Coinbase
ByBit Futures Trading Trade hundreds of crypto perpetual futures