GSWIFT GSWIFT / TREE Crypto vs PYTH PYTH / TREE 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 / TREEPYTH / TREE
📈 Performance Metrics
Start Price 0.010.19
End Price 0.010.69
Price Change % -6.94%+274.78%
Period High 0.020.69
Period Low 0.010.19
Price Range % 107.2%274.8%
🏆 All-Time Records
All-Time High 0.020.69
Days Since ATH 52 days1 days
Distance From ATH % -51.7%+0.0%
All-Time Low 0.010.19
Distance From ATL % +0.0%+274.8%
New ATHs Hit 10 times25 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.27%3.97%
Biggest Jump (1 Day) % +0.00+0.21
Biggest Drop (1 Day) % 0.00-0.07
Days Above Avg % 58.8%60.5%
Extreme Moves days 5 (6.3%)2 (2.5%)
Stability Score % 0.0%0.0%
Trend Strength % 53.2%61.3%
Recent Momentum (10-day) % -18.06%+9.19%
📊 Statistical Measures
Average Price 0.020.47
Median Price 0.020.51
Price Std Deviation 0.000.13
🚀 Returns & Growth
CAGR % -28.26%+41,379.19%
Annualized Return % -28.26%+41,379.19%
Total Return % -6.94%+274.78%
⚠️ Risk & Volatility
Daily Volatility % 7.03%7.97%
Annualized Volatility % 134.40%152.25%
Max Drawdown % -51.73%-26.43%
Sharpe Ratio 0.0220.242
Sortino Ratio 0.0240.416
Calmar Ratio -0.5461,565.789
Ulcer Index 18.699.37
📅 Daily Performance
Win Rate % 46.8%62.0%
Positive Days 3749
Negative Days 4230
Best Day % +22.57%+56.29%
Worst Day % -20.27%-14.23%
Avg Gain (Up Days) % +5.89%+5.12%
Avg Loss (Down Days) % -4.89%-3.22%
Profit Factor 1.062.60
🔥 Streaks & Patterns
Longest Win Streak days 46
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.0612.598
Expectancy % +0.16%+1.95%
Kelly Criterion % 0.55%11.84%
📅 Weekly Performance
Best Week % +38.72%+43.16%
Worst Week % -23.55%-7.91%
Weekly Win Rate % 53.8%76.9%
📆 Monthly Performance
Best Month % +34.14%+144.64%
Worst Month % -31.80%7.09%
Monthly Win Rate % 60.0%100.0%
🔧 Technical Indicators
RSI (14-period) 22.6473.25
Price vs 50-Day MA % -38.42%+23.97%

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): -0.071 (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