PYTH PYTH / GSWIFT Crypto vs QTUM QTUM / USD Crypto

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

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Asset PYTH / GSWIFTQTUM / USD
📈 Performance Metrics
Start Price 8.613.23
End Price 62.631.69
Price Change % +627.03%-47.74%
Period High 62.635.70
Period Low 3.101.69
Price Range % 1,918.1%237.5%
🏆 All-Time Records
All-Time High 62.635.70
Days Since ATH 0 days328 days
Distance From ATH % +0.0%-70.4%
All-Time Low 3.101.69
Distance From ATL % +1,918.1%+0.0%
New ATHs Hit 22 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.55%3.88%
Biggest Jump (1 Day) % +16.74+1.43
Biggest Drop (1 Day) % -3.33-0.97
Days Above Avg % 36.0%37.8%
Extreme Moves days 12 (3.6%)15 (4.4%)
Stability Score % 32.2%0.0%
Trend Strength % 55.1%50.7%
Recent Momentum (10-day) % +38.98%-7.81%
📊 Statistical Measures
Average Price 13.502.55
Median Price 10.882.29
Price Std Deviation 9.090.67
🚀 Returns & Growth
CAGR % +785.50%-49.87%
Annualized Return % +785.50%-49.87%
Total Return % +627.03%-47.74%
⚠️ Risk & Volatility
Daily Volatility % 9.15%5.29%
Annualized Volatility % 174.87%101.15%
Max Drawdown % -65.26%-70.37%
Sharpe Ratio 0.105-0.009
Sortino Ratio 0.133-0.010
Calmar Ratio 12.036-0.709
Ulcer Index 27.2855.98
📅 Daily Performance
Win Rate % 55.1%49.0%
Positive Days 183167
Negative Days 149174
Best Day % +96.03%+33.46%
Worst Day % -26.77%-22.01%
Avg Gain (Up Days) % +5.98%+3.67%
Avg Loss (Down Days) % -5.19%-3.62%
Profit Factor 1.410.97
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 57
💹 Trading Metrics
Omega Ratio 1.4140.973
Expectancy % +0.96%-0.05%
Kelly Criterion % 3.11%0.00%
📅 Weekly Performance
Best Week % +65.04%+48.77%
Worst Week % -33.05%-22.25%
Weekly Win Rate % 70.0%50.0%
📆 Monthly Performance
Best Month % +94.65%+33.25%
Worst Month % -52.08%-33.34%
Monthly Win Rate % 76.9%46.2%
🔧 Technical Indicators
RSI (14-period) 84.4651.47
Price vs 50-Day MA % +97.41%-21.56%
Price vs 200-Day MA % +247.64%-23.51%

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 QTUM (QTUM): -0.452 (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

PYTH: Kraken
QTUM: Kraken
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