GSWIFT GSWIFT / FTT Crypto vs PYTH PYTH / FTT Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset GSWIFT / FTTPYTH / FTT

📈 Performance Metrics

Start Price 0.030.23

End Price 0.000.13

Price Change % -92.03%-43.50%

Period High 0.060.26

Period Low 0.000.09

Price Range % 2,573.7%189.5%

🏆 All-Time Records

All-Time High 0.060.26

Days Since ATH 317 days51 days

Distance From ATH % -96.3%-50.7%

All-Time Low 0.000.09

Distance From ATL % +0.0%+42.9%

New ATHs Hit 7 times1 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.38%4.36%

Biggest Jump (1 Day) % +0.01+0.13

Biggest Drop (1 Day) % -0.02-0.05

Days Above Avg % 32.9%34.9%

Extreme Moves days 20 (5.8%)11 (3.2%)

Stability Score % 0.0%0.0%

Trend Strength % 54.1%50.7%

Recent Momentum (10-day) % -37.92%-22.71%

📊 Statistical Measures

Average Price 0.020.14

Median Price 0.010.13

Price Std Deviation 0.010.03

🚀 Returns & Growth

CAGR % -93.28%-45.53%

Annualized Return % -93.28%-45.53%

Total Return % -92.03%-43.50%

⚠️ Risk & Volatility

Daily Volatility % 8.56%7.86%

Annualized Volatility % 163.63%150.08%

Max Drawdown % -96.26%-60.45%

Sharpe Ratio -0.0430.013

Sortino Ratio -0.0450.016

Calmar Ratio -0.969-0.753

Ulcer Index 75.2741.61

📅 Daily Performance

Win Rate % 45.9%49.3%

Positive Days 157169

Negative Days 185174

Best Day % +36.82%+95.03%

Worst Day % -40.07%-29.08%

Avg Gain (Up Days) % +5.82%+4.51%

Avg Loss (Down Days) % -5.62%-4.19%

Profit Factor 0.881.05

🔥 Streaks & Patterns

Longest Win Streak days 57

Longest Loss Streak days 108

💹 Trading Metrics

Omega Ratio 0.8791.047

Expectancy % -0.37%+0.10%

Kelly Criterion % 0.00%0.53%

📅 Weekly Performance

Best Week % +53.39%+73.25%

Worst Week % -29.39%-28.61%

Weekly Win Rate % 44.2%51.9%

📆 Monthly Performance

Best Month % +79.65%+84.19%

Worst Month % -61.93%-52.59%

Monthly Win Rate % 38.5%53.8%

🔧 Technical Indicators

RSI (14-period) 13.5439.50

Price vs 50-Day MA % -62.39%-25.92%

Price vs 200-Day MA % -75.79%-9.96%

💰 Volume Analysis

Avg Volume 8,532,6261,805,304

Total Volume 2,926,690,618621,024,535

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):	0.199 (Weak)

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