GSWIFT GSWIFT / PYTH Crypto vs PYTH PYTH / USD Crypto

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

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Asset GSWIFT / PYTHPYTH / USD
📈 Performance Metrics
Start Price 0.300.45
End Price 0.020.06
Price Change % -94.68%-85.56%
Period High 0.300.49
Period Low 0.020.06
Price Range % 1,781.2%659.6%
🏆 All-Time Records
All-Time High 0.300.49
Days Since ATH 308 days339 days
Distance From ATH % -94.7%-86.8%
All-Time Low 0.020.06
Distance From ATL % +0.0%+0.0%
New ATHs Hit 0 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.21%4.65%
Biggest Jump (1 Day) % +0.04+0.11
Biggest Drop (1 Day) % -0.03-0.06
Days Above Avg % 33.3%29.7%
Extreme Moves days 12 (3.9%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 56.8%52.8%
Recent Momentum (10-day) % -25.03%-7.74%
📊 Statistical Measures
Average Price 0.100.17
Median Price 0.090.14
Price Std Deviation 0.060.09
🚀 Returns & Growth
CAGR % -96.91%-87.24%
Annualized Return % -96.91%-87.24%
Total Return % -94.68%-85.56%
⚠️ Risk & Volatility
Daily Volatility % 7.63%7.96%
Annualized Volatility % 145.79%152.06%
Max Drawdown % -94.68%-86.83%
Sharpe Ratio -0.084-0.037
Sortino Ratio -0.084-0.048
Calmar Ratio -1.024-1.005
Ulcer Index 69.3867.79
📅 Daily Performance
Win Rate % 43.2%47.1%
Positive Days 133161
Negative Days 175181
Best Day % +36.55%+99.34%
Worst Day % -48.99%-32.57%
Avg Gain (Up Days) % +5.34%+4.65%
Avg Loss (Down Days) % -5.18%-4.70%
Profit Factor 0.780.88
🔥 Streaks & Patterns
Longest Win Streak days 47
Longest Loss Streak days 56
💹 Trading Metrics
Omega Ratio 0.7830.880
Expectancy % -0.64%-0.30%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +12.81%+65.86%
Worst Week % -39.41%-27.08%
Weekly Win Rate % 25.5%48.1%
📆 Monthly Performance
Best Month % +6.07%+65.32%
Worst Month % -48.62%-32.91%
Monthly Win Rate % 16.7%30.8%
🔧 Technical Indicators
RSI (14-period) 18.2735.53
Price vs 50-Day MA % -51.20%-32.15%
Price vs 200-Day MA % -76.03%-47.60%

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): 0.848 (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

GSWIFT: Bybit
PYTH: Kraken
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