PYTH PYTH / GSWIFT Crypto vs WEN WEN / 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 / GSWIFTWEN / GSWIFT
📈 Performance Metrics
Start Price 8.290.00
End Price 62.630.01
Price Change % +655.66%+331.33%
Period High 62.630.01
Period Low 3.100.00
Price Range % 1,918.1%1,334.6%
🏆 All-Time Records
All-Time High 62.630.01
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 3.100.00
Distance From ATL % +1,918.1%+1,334.6%
New ATHs Hit 23 times17 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.54%6.26%
Biggest Jump (1 Day) % +16.74+0.00
Biggest Drop (1 Day) % -3.330.00
Days Above Avg % 36.4%49.7%
Extreme Moves days 12 (3.6%)18 (5.3%)
Stability Score % 32.2%0.0%
Trend Strength % 55.2%51.3%
Recent Momentum (10-day) % +38.98%+43.70%
📊 Statistical Measures
Average Price 13.420.00
Median Price 10.850.00
Price Std Deviation 9.040.00
🚀 Returns & Growth
CAGR % +793.93%+387.03%
Annualized Return % +793.93%+387.03%
Total Return % +655.66%+331.33%
⚠️ Risk & Volatility
Daily Volatility % 9.10%9.96%
Annualized Volatility % 173.93%190.25%
Max Drawdown % -65.26%-81.45%
Sharpe Ratio 0.1060.090
Sortino Ratio 0.1340.109
Calmar Ratio 12.1654.752
Ulcer Index 27.0949.96
📅 Daily Performance
Win Rate % 55.2%51.3%
Positive Days 186173
Negative Days 151164
Best Day % +96.03%+76.89%
Worst Day % -26.77%-29.84%
Avg Gain (Up Days) % +5.95%+7.59%
Avg Loss (Down Days) % -5.17%-6.17%
Profit Factor 1.421.30
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 1.4161.299
Expectancy % +0.96%+0.90%
Kelly Criterion % 3.13%1.92%
📅 Weekly Performance
Best Week % +65.04%+60.91%
Worst Week % -33.05%-37.64%
Weekly Win Rate % 70.6%60.8%
📆 Monthly Performance
Best Month % +94.65%+90.02%
Worst Month % -50.19%-58.47%
Monthly Win Rate % 76.9%84.6%
🔧 Technical Indicators
RSI (14-period) 84.4675.25
Price vs 50-Day MA % +97.41%+75.88%
Price vs 200-Day MA % +247.64%+160.61%

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 WEN (WEN): 0.915 (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
WEN: Kraken
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