PYTH PYTH / GSWIFT Crypto vs SPEC SPEC / 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 / GSWIFTSPEC / GSWIFT
📈 Performance Metrics
Start Price 5.45140.13
End Price 62.63113.55
Price Change % +1,049.38%-18.97%
Period High 62.63209.04
Period Low 3.1061.01
Price Range % 1,918.1%242.6%
🏆 All-Time Records
All-Time High 62.63209.04
Days Since ATH 0 days172 days
Distance From ATH % +0.0%-45.7%
All-Time Low 3.1061.01
Distance From ATL % +1,918.1%+86.1%
New ATHs Hit 30 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.53%6.62%
Biggest Jump (1 Day) % +16.74+52.13
Biggest Drop (1 Day) % -3.33-78.56
Days Above Avg % 36.8%46.6%
Extreme Moves days 11 (3.4%)16 (5.0%)
Stability Score % 33.0%91.2%
Trend Strength % 55.9%50.2%
Recent Momentum (10-day) % +38.98%+32.44%
📊 Statistical Measures
Average Price 13.67101.96
Median Price 10.98100.69
Price Std Deviation 9.1726.20
🚀 Returns & Growth
CAGR % +1,492.49%-21.16%
Annualized Return % +1,492.49%-21.16%
Total Return % +1,049.38%-18.97%
⚠️ Risk & Volatility
Daily Volatility % 9.16%8.95%
Annualized Volatility % 175.04%171.04%
Max Drawdown % -43.05%-70.81%
Sharpe Ratio 0.1230.037
Sortino Ratio 0.1580.041
Calmar Ratio 34.672-0.299
Ulcer Index 17.3946.86
📅 Daily Performance
Win Rate % 55.9%49.8%
Positive Days 180161
Negative Days 142162
Best Day % +96.03%+51.88%
Worst Day % -26.77%-42.55%
Avg Gain (Up Days) % +6.00%+6.58%
Avg Loss (Down Days) % -5.06%-5.87%
Profit Factor 1.501.11
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 58
💹 Trading Metrics
Omega Ratio 1.5051.113
Expectancy % +1.13%+0.33%
Kelly Criterion % 3.71%0.86%
📅 Weekly Performance
Best Week % +65.04%+69.93%
Worst Week % -27.43%-24.41%
Weekly Win Rate % 71.4%53.1%
📆 Monthly Performance
Best Month % +94.65%+53.98%
Worst Month % -24.24%-47.64%
Monthly Win Rate % 76.9%76.9%
🔧 Technical Indicators
RSI (14-period) 84.4676.28
Price vs 50-Day MA % +97.41%+50.67%
Price vs 200-Day MA % +247.64%+20.67%

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 SPEC (SPEC): -0.453 (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
SPEC: Bybit