GMT GMT / GSWIFT Crypto vs PYTH PYTH / GSWIFT Crypto

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

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Asset GMT / GSWIFTPYTH / GSWIFT
📈 Performance Metrics
Start Price 3.138.28
End Price 13.9462.63
Price Change % +346.22%+656.54%
Period High 13.9462.63
Period Low 1.413.10
Price Range % 888.6%1,918.1%
🏆 All-Time Records
All-Time High 13.9462.63
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 1.413.10
Distance From ATL % +888.6%+1,918.1%
New ATHs Hit 32 times23 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.70%5.54%
Biggest Jump (1 Day) % +1.92+16.74
Biggest Drop (1 Day) % -1.00-3.33
Days Above Avg % 47.2%36.1%
Extreme Moves days 21 (6.3%)12 (3.6%)
Stability Score % 0.0%32.2%
Trend Strength % 55.1%55.1%
Recent Momentum (10-day) % +29.14%+38.98%
📊 Statistical Measures
Average Price 4.5213.47
Median Price 4.2410.86
Price Std Deviation 2.229.07
🚀 Returns & Growth
CAGR % +412.66%+812.86%
Annualized Return % +412.66%+812.86%
Total Return % +346.22%+656.54%
⚠️ Risk & Volatility
Daily Volatility % 7.49%9.13%
Annualized Volatility % 143.08%174.44%
Max Drawdown % -65.15%-65.26%
Sharpe Ratio 0.0970.106
Sortino Ratio 0.1010.135
Calmar Ratio 6.33412.455
Ulcer Index 29.4527.20
📅 Daily Performance
Win Rate % 55.1%55.1%
Positive Days 184184
Negative Days 150150
Best Day % +40.97%+96.03%
Worst Day % -25.97%-26.77%
Avg Gain (Up Days) % +5.41%+5.97%
Avg Loss (Down Days) % -5.02%-5.16%
Profit Factor 1.321.42
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.3231.419
Expectancy % +0.73%+0.97%
Kelly Criterion % 2.68%3.15%
📅 Weekly Performance
Best Week % +55.94%+65.04%
Worst Week % -35.77%-33.05%
Weekly Win Rate % 64.7%70.6%
📆 Monthly Performance
Best Month % +70.14%+94.65%
Worst Month % -38.91%-50.13%
Monthly Win Rate % 69.2%76.9%
🔧 Technical Indicators
RSI (14-period) 79.7684.46
Price vs 50-Day MA % +78.60%+97.41%
Price vs 200-Day MA % +135.05%+247.64%

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).

GMT (GMT) vs PYTH (PYTH): 0.914 (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

GMT: Kraken
PYTH: Kraken
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