PYTH PYTH / GSWIFT Crypto vs IMX IMX / 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 / GSWIFTIMX / USD
📈 Performance Metrics
Start Price 5.451.89
End Price 62.630.31
Price Change % +1,049.38%-83.33%
Period High 62.632.13
Period Low 3.100.31
Price Range % 1,918.1%594.7%
🏆 All-Time Records
All-Time High 62.632.13
Days Since ATH 0 days335 days
Distance From ATH % +0.0%-85.2%
All-Time Low 3.100.31
Distance From ATL % +1,918.1%+2.6%
New ATHs Hit 30 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.53%4.39%
Biggest Jump (1 Day) % +16.74+0.15
Biggest Drop (1 Day) % -3.33-0.34
Days Above Avg % 36.8%27.9%
Extreme Moves days 11 (3.4%)18 (5.2%)
Stability Score % 33.0%0.0%
Trend Strength % 55.9%53.1%
Recent Momentum (10-day) % +38.98%-19.27%
📊 Statistical Measures
Average Price 13.670.74
Median Price 10.980.59
Price Std Deviation 9.170.41
🚀 Returns & Growth
CAGR % +1,492.49%-85.14%
Annualized Return % +1,492.49%-85.14%
Total Return % +1,049.38%-83.33%
⚠️ Risk & Volatility
Daily Volatility % 9.16%5.85%
Annualized Volatility % 175.04%111.77%
Max Drawdown % -43.05%-85.61%
Sharpe Ratio 0.123-0.059
Sortino Ratio 0.158-0.059
Calmar Ratio 34.672-0.995
Ulcer Index 17.3967.79
📅 Daily Performance
Win Rate % 55.9%46.6%
Positive Days 180159
Negative Days 142182
Best Day % +96.03%+20.43%
Worst Day % -26.77%-27.41%
Avg Gain (Up Days) % +6.00%+4.42%
Avg Loss (Down Days) % -5.06%-4.51%
Profit Factor 1.500.85
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 512
💹 Trading Metrics
Omega Ratio 1.5050.855
Expectancy % +1.13%-0.35%
Kelly Criterion % 3.71%0.00%
📅 Weekly Performance
Best Week % +65.04%+32.40%
Worst Week % -27.43%-27.46%
Weekly Win Rate % 71.4%48.1%
📆 Monthly Performance
Best Month % +94.65%+38.20%
Worst Month % -24.24%-38.92%
Monthly Win Rate % 76.9%46.2%
🔧 Technical Indicators
RSI (14-period) 84.4629.36
Price vs 50-Day MA % +97.41%-42.29%
Price vs 200-Day MA % +247.64%-42.78%

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 IMX (IMX): -0.464 (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
IMX: Kraken