PYTH PYTH / GSWIFT Crypto vs INTR INTR / 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 / GSWIFTINTR / GSWIFT
📈 Performance Metrics
Start Price 3.220.10
End Price 62.630.31
Price Change % +1,842.82%+214.56%
Period High 62.630.47
Period Low 3.100.10
Price Range % 1,918.1%388.6%
🏆 All-Time Records
All-Time High 62.630.47
Days Since ATH 0 days18 days
Distance From ATH % +0.0%-33.0%
All-Time Low 3.100.10
Distance From ATL % +1,918.1%+227.6%
New ATHs Hit 38 times26 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.49%7.57%
Biggest Jump (1 Day) % +16.74+0.12
Biggest Drop (1 Day) % -3.33-0.13
Days Above Avg % 36.9%55.5%
Extreme Moves days 10 (3.2%)17 (5.4%)
Stability Score % 35.1%0.0%
Trend Strength % 56.3%52.5%
Recent Momentum (10-day) % +38.98%-10.97%
📊 Statistical Measures
Average Price 13.840.27
Median Price 11.140.28
Price Std Deviation 9.170.09
🚀 Returns & Growth
CAGR % +2,977.67%+275.74%
Annualized Return % +2,977.67%+275.74%
Total Return % +1,842.82%+214.56%
⚠️ Risk & Volatility
Daily Volatility % 8.99%9.98%
Annualized Volatility % 171.73%190.69%
Max Drawdown % -32.87%-53.77%
Sharpe Ratio 0.1430.086
Sortino Ratio 0.1960.092
Calmar Ratio 90.5885.128
Ulcer Index 15.3425.84
📅 Daily Performance
Win Rate % 56.3%52.5%
Positive Days 178166
Negative Days 138150
Best Day % +96.03%+39.67%
Worst Day % -26.77%-30.53%
Avg Gain (Up Days) % +6.00%+8.03%
Avg Loss (Down Days) % -4.79%-7.07%
Profit Factor 1.621.26
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.6151.256
Expectancy % +1.29%+0.86%
Kelly Criterion % 4.48%1.52%
📅 Weekly Performance
Best Week % +65.04%+41.43%
Worst Week % -11.35%-19.30%
Weekly Win Rate % 75.0%58.3%
📆 Monthly Performance
Best Month % +94.65%+82.51%
Worst Month % -5.72%-21.76%
Monthly Win Rate % 83.3%75.0%
🔧 Technical Indicators
RSI (14-period) 84.4643.50
Price vs 50-Day MA % +97.41%-6.43%
Price vs 200-Day MA % +247.64%-0.47%

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 INTR (INTR): 0.636 (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
INTR: Kraken
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