PYTH PYTH / GSWIFT Crypto vs QI QI / GSWIFT Crypto

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

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Asset PYTH / GSWIFTQI / GSWIFT
📈 Performance Metrics
Start Price 6.890.98
End Price 62.632.72
Price Change % +808.47%+177.12%
Period High 62.632.72
Period Low 3.100.69
Price Range % 1,918.1%293.3%
🏆 All-Time Records
All-Time High 62.632.72
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 3.100.69
Distance From ATL % +1,918.1%+293.3%
New ATHs Hit 23 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.55%6.47%
Biggest Jump (1 Day) % +16.74+0.37
Biggest Drop (1 Day) % -3.33-0.31
Days Above Avg % 36.8%38.2%
Extreme Moves days 11 (3.4%)10 (9.9%)
Stability Score % 32.4%0.0%
Trend Strength % 55.7%59.4%
Recent Momentum (10-day) % +38.98%+23.52%
📊 Statistical Measures
Average Price 13.611.22
Median Price 10.961.09
Price Std Deviation 9.150.37
🚀 Returns & Growth
CAGR % +1,091.95%+3,878.69%
Annualized Return % +1,091.95%+3,878.69%
Total Return % +808.47%+177.12%
⚠️ Risk & Volatility
Daily Volatility % 9.20%10.21%
Annualized Volatility % 175.68%195.01%
Max Drawdown % -56.76%-32.67%
Sharpe Ratio 0.1140.150
Sortino Ratio 0.1450.158
Calmar Ratio 19.239118.719
Ulcer Index 22.4514.97
📅 Daily Performance
Win Rate % 55.7%59.4%
Positive Days 18160
Negative Days 14441
Best Day % +96.03%+33.42%
Worst Day % -26.77%-25.82%
Avg Gain (Up Days) % +5.99%+7.05%
Avg Loss (Down Days) % -5.16%-6.56%
Profit Factor 1.461.57
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 54
💹 Trading Metrics
Omega Ratio 1.4591.574
Expectancy % +1.05%+1.53%
Kelly Criterion % 3.39%3.30%
📅 Weekly Performance
Best Week % +65.04%+34.71%
Worst Week % -33.05%-9.52%
Weekly Win Rate % 71.4%56.3%
📆 Monthly Performance
Best Month % +94.65%+51.97%
Worst Month % -40.12%-8.87%
Monthly Win Rate % 76.9%60.0%
🔧 Technical Indicators
RSI (14-period) 84.4677.84
Price vs 50-Day MA % +97.41%+81.69%
Price vs 200-Day MA % +247.64%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).

PYTH (PYTH) vs QI (QI): 0.912 (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

PYTH: Kraken
QI: Kraken
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