PYTH PYTH / GSWIFT Crypto vs DUCK DUCK / 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 / GSWIFTDUCK / GSWIFT
📈 Performance Metrics
Start Price 3.630.31
End Price 62.630.88
Price Change % +1,626.73%+183.47%
Period High 62.631.64
Period Low 3.100.16
Price Range % 1,918.1%924.2%
🏆 All-Time Records
All-Time High 62.631.64
Days Since ATH 0 days28 days
Distance From ATH % +0.0%-46.6%
All-Time Low 3.100.16
Distance From ATL % +1,918.1%+447.2%
New ATHs Hit 37 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%7.76%
Biggest Jump (1 Day) % +16.74+0.81
Biggest Drop (1 Day) % -3.33-0.80
Days Above Avg % 36.7%52.4%
Extreme Moves days 10 (3.2%)8 (3.8%)
Stability Score % 35.3%0.0%
Trend Strength % 56.2%52.6%
Recent Momentum (10-day) % +38.98%+33.89%
📊 Statistical Measures
Average Price 13.880.46
Median Price 11.150.48
Price Std Deviation 9.160.25
🚀 Returns & Growth
CAGR % +2,614.00%+506.44%
Annualized Return % +2,614.00%+506.44%
Total Return % +1,626.73%+183.47%
⚠️ Risk & Volatility
Daily Volatility % 8.98%11.98%
Annualized Volatility % 171.57%228.96%
Max Drawdown % -32.87%-72.46%
Sharpe Ratio 0.1390.096
Sortino Ratio 0.1910.118
Calmar Ratio 79.5246.989
Ulcer Index 15.3733.73
📅 Daily Performance
Win Rate % 56.2%52.6%
Positive Days 177111
Negative Days 138100
Best Day % +96.03%+97.60%
Worst Day % -26.77%-48.47%
Avg Gain (Up Days) % +5.96%+8.02%
Avg Loss (Down Days) % -4.79%-6.47%
Profit Factor 1.601.38
🔥 Streaks & Patterns
Longest Win Streak days 614
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.5961.375
Expectancy % +1.25%+1.15%
Kelly Criterion % 4.38%2.22%
📅 Weekly Performance
Best Week % +65.04%+45.11%
Worst Week % -11.35%-36.52%
Weekly Win Rate % 72.9%56.3%
📆 Monthly Performance
Best Month % +94.65%+127.60%
Worst Month % -5.72%-33.10%
Monthly Win Rate % 83.3%66.7%
🔧 Technical Indicators
RSI (14-period) 84.4680.84
Price vs 50-Day MA % +97.41%+29.82%
Price vs 200-Day MA % +247.64%+83.36%

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 DUCK (DUCK): 0.633 (Moderate 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
DUCK: Kraken
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