GSWIFT GSWIFT / FTT Crypto vs FTT FTT / USD 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 / FTTFTT / USD
📈 Performance Metrics
Start Price 0.031.83
End Price 0.000.79
Price Change % -92.03%-56.99%
Period High 0.063.87
Period Low 0.000.72
Price Range % 2,573.7%434.4%
🏆 All-Time Records
All-Time High 0.063.87
Days Since ATH 317 days290 days
Distance From ATH % -96.3%-79.6%
All-Time Low 0.000.72
Distance From ATL % +0.0%+8.8%
New ATHs Hit 7 times10 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.38%4.67%
Biggest Jump (1 Day) % +0.01+0.78
Biggest Drop (1 Day) % -0.02-0.49
Days Above Avg % 32.9%34.2%
Extreme Moves days 20 (5.8%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 54.1%54.1%
Recent Momentum (10-day) % -37.92%-12.21%
📊 Statistical Measures
Average Price 0.021.46
Median Price 0.011.09
Price Std Deviation 0.010.78
🚀 Returns & Growth
CAGR % -93.28%-59.15%
Annualized Return % -93.28%-59.15%
Total Return % -92.03%-56.99%
⚠️ Risk & Volatility
Daily Volatility % 8.56%5.85%
Annualized Volatility % 163.63%111.81%
Max Drawdown % -96.26%-81.29%
Sharpe Ratio -0.043-0.013
Sortino Ratio -0.045-0.015
Calmar Ratio -0.969-0.728
Ulcer Index 75.2764.24
📅 Daily Performance
Win Rate % 45.9%45.6%
Positive Days 157156
Negative Days 185186
Best Day % +36.82%+35.00%
Worst Day % -40.07%-20.03%
Avg Gain (Up Days) % +5.82%+4.44%
Avg Loss (Down Days) % -5.62%-3.87%
Profit Factor 0.880.96
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 109
💹 Trading Metrics
Omega Ratio 0.8790.962
Expectancy % -0.37%-0.08%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +53.39%+36.20%
Worst Week % -29.39%-24.69%
Weekly Win Rate % 44.2%53.8%
📆 Monthly Performance
Best Month % +79.65%+46.25%
Worst Month % -61.93%-41.51%
Monthly Win Rate % 38.5%38.5%
🔧 Technical Indicators
RSI (14-period) 13.5431.43
Price vs 50-Day MA % -62.39%-8.26%
Price vs 200-Day MA % -75.79%-15.35%
💰 Volume Analysis
Avg Volume 8,532,626333,267
Total Volume 2,926,690,618114,977,179

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 FTT (FTT): 0.787 (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
FTT: Bybit