PYTH PYTH / FTT Crypto vs GSWIFT GSWIFT / FTT Crypto

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

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Asset PYTH / FTTGSWIFT / FTT
📈 Performance Metrics
Start Price 0.200.04
End Price 0.130.00
Price Change % -36.92%-94.92%
Period High 0.260.06
Period Low 0.090.00
Price Range % 189.5%2,573.7%
🏆 All-Time Records
All-Time High 0.260.06
Days Since ATH 74 days317 days
Distance From ATH % -51.3%-96.3%
All-Time Low 0.090.00
Distance From ATL % +41.1%+0.0%
New ATHs Hit 1 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.31%5.97%
Biggest Jump (1 Day) % +0.13+0.01
Biggest Drop (1 Day) % -0.05-0.02
Days Above Avg % 33.7%34.7%
Extreme Moves days 11 (3.2%)19 (6.0%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%54.2%
Recent Momentum (10-day) % -2.20%-37.92%
📊 Statistical Measures
Average Price 0.140.01
Median Price 0.130.01
Price Std Deviation 0.030.01
🚀 Returns & Growth
CAGR % -38.76%-96.69%
Annualized Return % -38.76%-96.69%
Total Return % -36.92%-94.92%
⚠️ Risk & Volatility
Daily Volatility % 7.78%8.21%
Annualized Volatility % 148.67%156.79%
Max Drawdown % -56.82%-96.26%
Sharpe Ratio 0.016-0.071
Sortino Ratio 0.020-0.072
Calmar Ratio -0.682-1.004
Ulcer Index 38.1077.83
📅 Daily Performance
Win Rate % 49.3%45.8%
Positive Days 169146
Negative Days 174173
Best Day % +95.03%+36.82%
Worst Day % -29.08%-40.07%
Avg Gain (Up Days) % +4.45%+5.32%
Avg Loss (Down Days) % -4.07%-5.57%
Profit Factor 1.060.81
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 810
💹 Trading Metrics
Omega Ratio 1.0610.806
Expectancy % +0.13%-0.59%
Kelly Criterion % 0.70%0.00%
📅 Weekly Performance
Best Week % +73.25%+23.49%
Worst Week % -28.61%-29.39%
Weekly Win Rate % 50.0%41.7%
📆 Monthly Performance
Best Month % +84.19%+13.92%
Worst Month % -53.50%-62.43%
Monthly Win Rate % 53.8%33.3%
🔧 Technical Indicators
RSI (14-period) 46.1913.54
Price vs 50-Day MA % -8.75%-62.39%
Price vs 200-Day MA % -9.48%-75.79%
💰 Volume Analysis
Avg Volume 1,934,7619,016,138
Total Volume 665,557,6922,885,164,111

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).

PYTH (PYTH) vs GSWIFT (GSWIFT): 0.022 (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

PYTH: Kraken
GSWIFT: Bybit