FTT FTT / GSWIFT Crypto vs PYTH PYTH / GSWIFT 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 FTT / GSWIFTPYTH / GSWIFT
📈 Performance Metrics
Start Price 37.198.31
End Price 446.5662.63
Price Change % +1,100.81%+654.07%
Period High 446.5662.63
Period Low 16.703.10
Price Range % 2,573.7%1,918.1%
🏆 All-Time Records
All-Time High 446.5662.63
Days Since ATH 0 days0 days
Distance From ATH % +0.0%+0.0%
All-Time Low 16.703.10
Distance From ATL % +2,573.7%+1,918.1%
New ATHs Hit 36 times22 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.56%5.55%
Biggest Jump (1 Day) % +119.81+16.74
Biggest Drop (1 Day) % -29.39-3.33
Days Above Avg % 45.9%36.2%
Extreme Moves days 20 (5.9%)12 (3.6%)
Stability Score % 90.5%32.2%
Trend Strength % 54.0%55.1%
Recent Momentum (10-day) % +77.34%+38.98%
📊 Statistical Measures
Average Price 95.2513.44
Median Price 87.6510.85
Price Std Deviation 60.449.05
🚀 Returns & Growth
CAGR % +1,376.27%+797.72%
Annualized Return % +1,376.27%+797.72%
Total Return % +1,100.81%+654.07%
⚠️ Risk & Volatility
Daily Volatility % 9.08%9.12%
Annualized Volatility % 173.50%174.18%
Max Drawdown % -68.67%-65.26%
Sharpe Ratio 0.1240.106
Sortino Ratio 0.1500.134
Calmar Ratio 20.04112.223
Ulcer Index 26.6727.13
📅 Daily Performance
Win Rate % 54.0%55.1%
Positive Days 182185
Negative Days 155151
Best Day % +66.85%+96.03%
Worst Day % -26.91%-26.77%
Avg Gain (Up Days) % +6.44%+5.98%
Avg Loss (Down Days) % -5.11%-5.17%
Profit Factor 1.481.42
🔥 Streaks & Patterns
Longest Win Streak days 106
Longest Loss Streak days 55
💹 Trading Metrics
Omega Ratio 1.4791.416
Expectancy % +1.13%+0.97%
Kelly Criterion % 3.42%3.12%
📅 Weekly Performance
Best Week % +41.62%+65.04%
Worst Week % -34.81%-33.05%
Weekly Win Rate % 56.9%70.6%
📆 Monthly Performance
Best Month % +162.68%+94.65%
Worst Month % -46.71%-50.30%
Monthly Win Rate % 61.5%76.9%
🔧 Technical Indicators
RSI (14-period) 90.1184.46
Price vs 50-Day MA % +134.09%+97.41%
Price vs 200-Day MA % +257.54%+247.64%
💰 Volume Analysis
Avg Volume 19,543,016222,345,172
Total Volume 6,605,539,41174,930,323,081

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).

FTT (FTT) vs PYTH (PYTH): 0.927 (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

FTT: Bybit
PYTH: Kraken