GSWIFT GSWIFT / SPK Crypto vs PYTH PYTH / SPK Crypto

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

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Asset GSWIFT / SPKPYTH / SPK
📈 Performance Metrics
Start Price 0.182.30
End Price 0.052.77
Price Change % -72.81%+20.27%
Period High 0.243.89
Period Low 0.050.74
Price Range % 417.5%426.3%
🏆 All-Time Records
All-Time High 0.243.89
Days Since ATH 91 days100 days
Distance From ATH % -80.6%-28.9%
All-Time Low 0.050.74
Distance From ATL % +0.6%+274.3%
New ATHs Hit 11 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.81%6.44%
Biggest Jump (1 Day) % +0.03+1.92
Biggest Drop (1 Day) % -0.07-1.37
Days Above Avg % 26.9%62.7%
Extreme Moves days 6 (5.1%)5 (4.0%)
Stability Score % 0.0%0.0%
Trend Strength % 42.4%62.4%
Recent Momentum (10-day) % -22.63%-12.84%
📊 Statistical Measures
Average Price 0.122.46
Median Price 0.102.66
Price Std Deviation 0.050.81
🚀 Returns & Growth
CAGR % -98.22%+71.43%
Annualized Return % -98.22%+71.43%
Total Return % -72.81%+20.27%
⚠️ Risk & Volatility
Daily Volatility % 11.32%14.22%
Annualized Volatility % 216.24%271.73%
Max Drawdown % -80.68%-81.00%
Sharpe Ratio -0.0350.075
Sortino Ratio -0.0300.081
Calmar Ratio -1.2170.882
Ulcer Index 55.0440.16
📅 Daily Performance
Win Rate % 57.6%62.4%
Positive Days 6878
Negative Days 5047
Best Day % +58.38%+103.53%
Worst Day % -51.93%-55.27%
Avg Gain (Up Days) % +5.67%+6.65%
Avg Loss (Down Days) % -8.65%-8.18%
Profit Factor 0.891.35
🔥 Streaks & Patterns
Longest Win Streak days 78
Longest Loss Streak days 64
💹 Trading Metrics
Omega Ratio 0.8911.349
Expectancy % -0.40%+1.07%
Kelly Criterion % 0.00%1.97%
📅 Weekly Performance
Best Week % +38.29%+116.56%
Worst Week % -32.89%-39.18%
Weekly Win Rate % 63.2%70.0%
📆 Monthly Performance
Best Month % +34.01%+160.85%
Worst Month % -53.05%-55.73%
Monthly Win Rate % 33.3%66.7%
🔧 Technical Indicators
RSI (14-period) 22.4037.18
Price vs 50-Day MA % -49.78%-2.83%
💰 Volume Analysis
Avg Volume 203,405,63853,793,442
Total Volume 24,205,270,9316,777,973,728

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).

GSWIFT (GSWIFT) vs PYTH (PYTH): 0.587 (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

GSWIFT: Bybit
PYTH: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures