PYTH PYTH / GSWIFT Crypto vs WOO WOO / 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 / GSWIFTWOO / USD
📈 Performance Metrics
Start Price 3.430.34
End Price 62.630.03
Price Change % +1,728.43%-92.08%
Period High 62.630.36
Period Low 3.100.02
Price Range % 1,918.1%1,407.4%
🏆 All-Time Records
All-Time High 62.630.36
Days Since ATH 0 days340 days
Distance From ATH % +0.0%-92.6%
All-Time Low 3.100.02
Distance From ATL % +1,918.1%+12.0%
New ATHs Hit 38 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%4.50%
Biggest Jump (1 Day) % +16.74+0.02
Biggest Drop (1 Day) % -3.33-0.06
Days Above Avg % 36.8%26.5%
Extreme Moves days 10 (3.2%)14 (4.1%)
Stability Score % 35.0%0.0%
Trend Strength % 56.2%51.9%
Recent Momentum (10-day) % +38.98%-3.31%
📊 Statistical Measures
Average Price 13.810.10
Median Price 11.130.08
Price Std Deviation 9.170.07
🚀 Returns & Growth
CAGR % +2,739.11%-93.27%
Annualized Return % +2,739.11%-93.27%
Total Return % +1,728.43%-92.08%
⚠️ Risk & Volatility
Daily Volatility % 8.98%6.11%
Annualized Volatility % 171.63%116.82%
Max Drawdown % -32.87%-93.37%
Sharpe Ratio 0.141-0.087
Sortino Ratio 0.193-0.078
Calmar Ratio 83.330-0.999
Ulcer Index 15.3274.37
📅 Daily Performance
Win Rate % 56.2%47.6%
Positive Days 178162
Negative Days 139178
Best Day % +96.03%+17.44%
Worst Day % -26.77%-45.86%
Avg Gain (Up Days) % +6.00%+4.16%
Avg Loss (Down Days) % -4.80%-4.82%
Profit Factor 1.600.79
🔥 Streaks & Patterns
Longest Win Streak days 69
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.6010.787
Expectancy % +1.26%-0.54%
Kelly Criterion % 4.39%0.00%
📅 Weekly Performance
Best Week % +65.04%+28.51%
Worst Week % -11.35%-25.10%
Weekly Win Rate % 72.9%50.0%
📆 Monthly Performance
Best Month % +94.65%+11.98%
Worst Month % -5.72%-38.57%
Monthly Win Rate % 83.3%30.8%
🔧 Technical Indicators
RSI (14-period) 84.4646.18
Price vs 50-Day MA % +97.41%-37.47%
Price vs 200-Day MA % +247.64%-59.75%

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 WOO (WOO): -0.575 (Moderate negative)

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
WOO: Kraken
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