PYTH PYTH / GSWIFT Crypto vs WEMIX WEMIX / 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 / GSWIFTWEMIX / GSWIFT
📈 Performance Metrics
Start Price 3.167.83
End Price 62.63307.91
Price Change % +1,882.48%+3,830.05%
Period High 62.63307.91
Period Low 3.107.54
Price Range % 1,918.1%3,984.8%
🏆 All-Time Records
All-Time High 62.63307.91
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 3.107.54
Distance From ATL % +1,918.1%+3,984.8%
New ATHs Hit 40 times54 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%5.56%
Biggest Jump (1 Day) % +16.74+69.61
Biggest Drop (1 Day) % -3.33-20.21
Days Above Avg % 37.3%34.3%
Extreme Moves days 9 (2.9%)17 (5.5%)
Stability Score % 35.8%85.5%
Trend Strength % 56.8%58.8%
Recent Momentum (10-day) % +38.98%+72.11%
📊 Statistical Measures
Average Price 14.0463.14
Median Price 11.2942.41
Price Std Deviation 9.1454.00
🚀 Returns & Growth
CAGR % +3,267.91%+7,334.29%
Annualized Return % +3,267.91%+7,334.29%
Total Return % +1,882.48%+3,830.05%
⚠️ Risk & Volatility
Daily Volatility % 9.02%9.17%
Annualized Volatility % 172.29%175.16%
Max Drawdown % -32.87%-68.34%
Sharpe Ratio 0.1460.174
Sortino Ratio 0.2000.193
Calmar Ratio 99.418107.314
Ulcer Index 15.3623.41
📅 Daily Performance
Win Rate % 56.8%58.8%
Positive Days 176183
Negative Days 134128
Best Day % +96.03%+50.59%
Worst Day % -26.77%-35.25%
Avg Gain (Up Days) % +5.97%+6.61%
Avg Loss (Down Days) % -4.81%-5.58%
Profit Factor 1.631.69
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 45
💹 Trading Metrics
Omega Ratio 1.6331.695
Expectancy % +1.31%+1.60%
Kelly Criterion % 4.58%4.32%
📅 Weekly Performance
Best Week % +65.04%+54.09%
Worst Week % -11.35%-43.12%
Weekly Win Rate % 74.5%61.7%
📆 Monthly Performance
Best Month % +94.65%+209.37%
Worst Month % -5.72%-59.74%
Monthly Win Rate % 83.3%91.7%
🔧 Technical Indicators
RSI (14-period) 84.4692.03
Price vs 50-Day MA % +97.41%+104.49%
Price vs 200-Day MA % +247.64%+254.77%

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 WEMIX (WEMIX): 0.931 (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
WEMIX: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures