GSWIFT GSWIFT / MCDX Crypto vs PYTH PYTH / MCDX Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset GSWIFT / MCDXPYTH / MCDX
📈 Performance Metrics
Start Price 0.000.00
End Price 0.000.00
Price Change % -73.53%+4.31%
Period High 0.000.00
Period Low 0.000.00
Price Range % 405.2%144.2%
🏆 All-Time Records
All-Time High 0.000.00
Days Since ATH 87 days52 days
Distance From ATH % -80.2%-52.1%
All-Time Low 0.000.00
Distance From ATL % +0.0%+17.1%
New ATHs Hit 6 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.73%5.27%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 54.9%45.2%
Extreme Moves days 2 (2.0%)2 (1.9%)
Stability Score % 0.0%0.0%
Trend Strength % 59.4%46.6%
Recent Momentum (10-day) % -43.87%-36.55%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % -99.18%+16.13%
Annualized Return % -99.18%+16.13%
Total Return % -73.53%+4.31%
⚠️ Risk & Volatility
Daily Volatility % 5.68%11.56%
Annualized Volatility % 108.44%220.85%
Max Drawdown % -80.21%-59.05%
Sharpe Ratio -0.1950.048
Sortino Ratio -0.1560.078
Calmar Ratio -1.2370.273
Ulcer Index 34.1827.71
📅 Daily Performance
Win Rate % 40.6%47.1%
Positive Days 4148
Negative Days 6054
Best Day % +9.34%+97.62%
Worst Day % -42.81%-33.69%
Avg Gain (Up Days) % +2.30%+6.35%
Avg Loss (Down Days) % -3.43%-4.60%
Profit Factor 0.461.23
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 97
💹 Trading Metrics
Omega Ratio 0.4581.229
Expectancy % -1.10%+0.56%
Kelly Criterion % 0.00%1.91%
📅 Weekly Performance
Best Week % +10.38%+67.14%
Worst Week % -17.72%-11.66%
Weekly Win Rate % 43.8%64.7%
📆 Monthly Performance
Best Month % +19.15%+62.07%
Worst Month % -40.12%-6.07%
Monthly Win Rate % 20.0%60.0%
🔧 Technical Indicators
RSI (14-period) 7.4633.73
Price vs 50-Day MA % -64.93%-28.13%

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).

GSWIFT (GSWIFT) vs PYTH (PYTH): -0.031 (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

GSWIFT: Bybit
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures