GSWIFT GSWIFT / PYTH Crypto vs SOPH SOPH / PYTH Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset GSWIFT / PYTHSOPH / PYTH
📈 Performance Metrics
Start Price 0.300.49
End Price 0.020.23
Price Change % -94.68%-52.65%
Period High 0.300.53
Period Low 0.020.14
Price Range % 1,781.2%278.3%
🏆 All-Time Records
All-Time High 0.300.53
Days Since ATH 308 days174 days
Distance From ATH % -94.7%-56.2%
All-Time Low 0.020.14
Distance From ATL % +0.0%+65.7%
New ATHs Hit 0 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.21%3.86%
Biggest Jump (1 Day) % +0.04+0.08
Biggest Drop (1 Day) % -0.03-0.13
Days Above Avg % 33.3%45.2%
Extreme Moves days 12 (3.9%)6 (3.4%)
Stability Score % 0.0%0.0%
Trend Strength % 56.8%57.4%
Recent Momentum (10-day) % -25.03%+2.59%
📊 Statistical Measures
Average Price 0.100.28
Median Price 0.090.27
Price Std Deviation 0.060.09
🚀 Returns & Growth
CAGR % -96.91%-78.79%
Annualized Return % -96.91%-78.79%
Total Return % -94.68%-52.65%
⚠️ Risk & Volatility
Daily Volatility % 7.63%6.30%
Annualized Volatility % 145.79%120.33%
Max Drawdown % -94.68%-73.57%
Sharpe Ratio -0.084-0.031
Sortino Ratio -0.084-0.031
Calmar Ratio -1.024-1.071
Ulcer Index 69.3850.08
📅 Daily Performance
Win Rate % 43.2%42.6%
Positive Days 13375
Negative Days 175101
Best Day % +36.55%+26.13%
Worst Day % -48.99%-48.04%
Avg Gain (Up Days) % +5.34%+4.00%
Avg Loss (Down Days) % -5.18%-3.32%
Profit Factor 0.780.90
🔥 Streaks & Patterns
Longest Win Streak days 48
Longest Loss Streak days 511
💹 Trading Metrics
Omega Ratio 0.7830.897
Expectancy % -0.64%-0.20%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +12.81%+24.44%
Worst Week % -39.41%-42.00%
Weekly Win Rate % 25.5%37.0%
📆 Monthly Performance
Best Month % +6.07%+13.87%
Worst Month % -48.62%-54.84%
Monthly Win Rate % 16.7%37.5%
🔧 Technical Indicators
RSI (14-period) 18.2761.17
Price vs 50-Day MA % -51.20%+6.84%
Price vs 200-Day MA % -76.03%N/A
💰 Volume Analysis
Avg Volume 70,265,9891,040,063,383
Total Volume 21,712,190,609184,091,218,847

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 SOPH (SOPH): 0.942 (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

GSWIFT: Bybit
SOPH: Binance
ByBit Futures Trading Trade hundreds of crypto perpetual futures