GSWIFT GSWIFT / PYTH Crypto vs USDUC USDUC / PYTH 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset GSWIFT / PYTHUSDUC / PYTH

📈 Performance Metrics

Start Price 0.290.29

End Price 0.020.08

Price Change % -94.55%-73.28%

Period High 0.290.39

Period Low 0.020.06

Price Range % 1,733.5%565.0%

🏆 All-Time Records

All-Time High 0.290.39

Days Since ATH 306 days79 days

Distance From ATH % -94.5%-80.2%

All-Time Low 0.020.06

Distance From ATL % +0.0%+31.6%

New ATHs Hit 0 times4 times

📌 Easy-to-Understand Stats

Avg Daily Change % 5.29%12.14%

Biggest Jump (1 Day) % +0.04+0.10

Biggest Drop (1 Day) % -0.03-0.18

Days Above Avg % 33.6%50.3%

Extreme Moves days 12 (3.9%)8 (5.6%)

Stability Score % 0.0%0.0%

Trend Strength % 56.5%52.1%

Recent Momentum (10-day) % -25.03%-15.80%

📊 Statistical Measures

Average Price 0.100.18

Median Price 0.090.18

Price Std Deviation 0.060.08

🚀 Returns & Growth

CAGR % -96.89%-96.48%

Annualized Return % -96.89%-96.48%

Total Return % -94.55%-73.28%

⚠️ Risk & Volatility

Daily Volatility % 7.66%16.23%

Annualized Volatility % 146.25%310.01%

Max Drawdown % -94.55%-84.96%

Sharpe Ratio -0.0830.022

Sortino Ratio -0.0830.026

Calmar Ratio -1.025-1.136

Ulcer Index 68.9354.53

📅 Daily Performance

Win Rate % 43.5%47.6%

Positive Days 13368

Negative Days 17375

Best Day % +36.55%+61.86%

Worst Day % -48.99%-49.16%

Avg Gain (Up Days) % +5.34%+13.07%

Avg Loss (Down Days) % -5.23%-11.16%

Profit Factor 0.791.06

🔥 Streaks & Patterns

Longest Win Streak days 45

Longest Loss Streak days 56

💹 Trading Metrics

Omega Ratio 0.7851.062

Expectancy % -0.64%+0.36%

Kelly Criterion % 0.00%0.25%

📅 Weekly Performance

Best Week % +12.81%+64.32%

Worst Week % -39.41%-60.54%

Weekly Win Rate % 25.5%45.5%

📆 Monthly Performance

Best Month % +6.07%+159.53%

Worst Month % -48.62%-46.84%

Monthly Win Rate % 16.7%16.7%

🔧 Technical Indicators

RSI (14-period) 18.2737.82

Price vs 50-Day MA % -51.20%-33.89%

Price vs 200-Day MA % -76.03%N/A

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 USDUC (USDUC):	-0.319 (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

GSWIFT: Bybit
USDUC: Kraken