PYTH PYTH / ACM Crypto vs GSWIFT GSWIFT / ACM Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / ACMGSWIFT / ACM
📈 Performance Metrics
Start Price 0.260.03
End Price 0.160.00
Price Change % -39.30%-90.94%
Period High 0.290.08
Period Low 0.110.00
Price Range % 172.3%2,522.5%
🏆 All-Time Records
All-Time High 0.290.08
Days Since ATH 319 days316 days
Distance From ATH % -45.7%-96.2%
All-Time Low 0.110.00
Distance From ATL % +47.7%+0.0%
New ATHs Hit 6 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.41%5.61%
Biggest Jump (1 Day) % +0.12+0.02
Biggest Drop (1 Day) % -0.05-0.01
Days Above Avg % 43.9%31.7%
Extreme Moves days 5 (1.5%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%57.4%
Recent Momentum (10-day) % -4.54%-26.41%
📊 Statistical Measures
Average Price 0.180.02
Median Price 0.180.02
Price Std Deviation 0.040.02
🚀 Returns & Growth
CAGR % -41.21%-92.23%
Annualized Return % -41.21%-92.23%
Total Return % -39.30%-90.94%
⚠️ Risk & Volatility
Daily Volatility % 6.98%7.59%
Annualized Volatility % 133.45%144.98%
Max Drawdown % -63.27%-96.19%
Sharpe Ratio 0.007-0.056
Sortino Ratio 0.010-0.065
Calmar Ratio -0.651-0.959
Ulcer Index 39.4875.09
📅 Daily Performance
Win Rate % 46.9%42.6%
Positive Days 161146
Negative Days 182197
Best Day % +96.26%+41.42%
Worst Day % -24.42%-21.85%
Avg Gain (Up Days) % +3.90%+5.51%
Avg Loss (Down Days) % -3.36%-4.82%
Profit Factor 1.030.85
🔥 Streaks & Patterns
Longest Win Streak days 74
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.0280.847
Expectancy % +0.05%-0.42%
Kelly Criterion % 0.38%0.00%
📅 Weekly Performance
Best Week % +70.10%+66.00%
Worst Week % -20.55%-26.59%
Weekly Win Rate % 51.9%38.5%
📆 Monthly Performance
Best Month % +58.98%+94.21%
Worst Month % -24.69%-51.81%
Monthly Win Rate % 30.8%15.4%
🔧 Technical Indicators
RSI (14-period) 26.8516.96
Price vs 50-Day MA % -13.92%-47.14%
Price vs 200-Day MA % +0.34%-69.21%

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 GSWIFT (GSWIFT): 0.797 (Strong 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
GSWIFT: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures