GSWIFT GSWIFT / PYTH Crypto vs DOT DOT / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset GSWIFT / PYTHDOT / PYTH
📈 Performance Metrics
Start Price 0.1212.71
End Price 0.0230.46
Price Change % -86.78%+139.69%
Period High 0.3237.42
Period Low 0.0212.15
Price Range % 1,918.1%208.1%
🏆 All-Time Records
All-Time High 0.3237.42
Days Since ATH 309 days122 days
Distance From ATH % -95.0%-18.6%
All-Time Low 0.0212.15
Distance From ATL % +0.0%+150.8%
New ATHs Hit 11 times29 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.56%2.59%
Biggest Jump (1 Day) % +0.08+4.55
Biggest Drop (1 Day) % -0.03-15.88
Days Above Avg % 33.6%53.2%
Extreme Moves days 15 (4.4%)14 (4.1%)
Stability Score % 0.0%82.9%
Trend Strength % 55.3%55.1%
Recent Momentum (10-day) % -25.03%+10.90%
📊 Statistical Measures
Average Price 0.1126.70
Median Price 0.0927.08
Price Std Deviation 0.075.82
🚀 Returns & Growth
CAGR % -88.75%+153.52%
Annualized Return % -88.75%+153.52%
Total Return % -86.78%+139.69%
⚠️ Risk & Volatility
Daily Volatility % 8.01%4.57%
Annualized Volatility % 153.09%87.31%
Max Drawdown % -95.04%-53.78%
Sharpe Ratio -0.0330.082
Sortino Ratio -0.0350.074
Calmar Ratio -0.9342.855
Ulcer Index 68.0015.41
📅 Daily Performance
Win Rate % 44.7%55.1%
Positive Days 151189
Negative Days 187154
Best Day % +36.55%+28.47%
Worst Day % -48.99%-47.87%
Avg Gain (Up Days) % +5.79%+2.77%
Avg Loss (Down Days) % -5.16%-2.56%
Profit Factor 0.911.33
🔥 Streaks & Patterns
Longest Win Streak days 58
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.9071.326
Expectancy % -0.27%+0.37%
Kelly Criterion % 0.00%5.29%
📅 Weekly Performance
Best Week % +49.37%+40.04%
Worst Week % -39.41%-39.56%
Weekly Win Rate % 29.4%61.5%
📆 Monthly Performance
Best Month % +100.59%+41.65%
Worst Month % -48.62%-36.17%
Monthly Win Rate % 23.1%53.8%
🔧 Technical Indicators
RSI (14-period) 18.2774.42
Price vs 50-Day MA % -51.20%+14.74%
Price vs 200-Day MA % -76.03%+0.77%
💰 Volume Analysis
Avg Volume 64,860,2813,215,633
Total Volume 21,987,635,2171,106,177,729

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 DOT (DOT): -0.598 (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
DOT: Kraken