PYTH PYTH / GSWIFT Crypto vs MIM MIM / 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 / GSWIFTMIM / GSWIFT
📈 Performance Metrics
Start Price 6.590.61
End Price 39.000.27
Price Change % +491.98%-56.58%
Period High 39.630.61
Period Low 3.100.24
Price Range % 1,177.0%160.7%
🏆 All-Time Records
All-Time High 39.630.61
Days Since ATH 2 days65 days
Distance From ATH % -1.6%-56.6%
All-Time Low 3.100.24
Distance From ATL % +1,156.8%+13.2%
New ATHs Hit 22 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.23%6.26%
Biggest Jump (1 Day) % +16.74+0.07
Biggest Drop (1 Day) % -3.33-0.09
Days Above Avg % 37.8%36.4%
Extreme Moves days 12 (3.5%)3 (4.6%)
Stability Score % 30.2%0.0%
Trend Strength % 55.4%58.5%
Recent Momentum (10-day) % +15.30%+2.29%
📊 Statistical Measures
Average Price 12.790.34
Median Price 10.730.31
Price Std Deviation 7.880.08
🚀 Returns & Growth
CAGR % +563.50%-99.08%
Annualized Return % +563.50%-99.08%
Total Return % +491.98%-56.58%
⚠️ Risk & Volatility
Daily Volatility % 8.93%7.98%
Annualized Volatility % 170.68%152.41%
Max Drawdown % -66.53%-61.64%
Sharpe Ratio 0.097-0.121
Sortino Ratio 0.120-0.133
Calmar Ratio 8.470-1.607
Ulcer Index 27.7046.83
📅 Daily Performance
Win Rate % 55.4%40.6%
Positive Days 19026
Negative Days 15338
Best Day % +96.03%+28.00%
Worst Day % -26.77%-14.23%
Avg Gain (Up Days) % +5.74%+6.34%
Avg Loss (Down Days) % -5.18%-5.99%
Profit Factor 1.380.72
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 57
💹 Trading Metrics
Omega Ratio 1.3760.724
Expectancy % +0.87%-0.98%
Kelly Criterion % 2.92%0.00%
📅 Weekly Performance
Best Week % +65.04%+15.69%
Worst Week % -33.05%-16.31%
Weekly Win Rate % 66.0%8.3%
📆 Monthly Performance
Best Month % +94.65%+44.71%
Worst Month % -37.34%-49.47%
Monthly Win Rate % 69.2%25.0%
🔧 Technical Indicators
RSI (14-period) 73.7354.93
Price vs 50-Day MA % +35.19%-11.74%
Price vs 200-Day MA % +127.46%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 MIM (MIM): -0.690 (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
MIM: Kraken
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