PYTH PYTH / SLF 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 PYTH / SLFFTT / USD
📈 Performance Metrics
Start Price 1.411.85
End Price 8.140.70
Price Change % +476.43%-62.30%
Period High 8.143.87
Period Low 0.540.69
Price Range % 1,407.3%457.7%
🏆 All-Time Records
All-Time High 8.143.87
Days Since ATH 0 days296 days
Distance From ATH % +0.0%-82.0%
All-Time Low 0.540.69
Distance From ATL % +1,407.3%+0.5%
New ATHs Hit 22 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.61%4.61%
Biggest Jump (1 Day) % +2.45+0.78
Biggest Drop (1 Day) % -2.54-0.49
Days Above Avg % 26.7%32.5%
Extreme Moves days 12 (3.9%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 53.9%54.4%
Recent Momentum (10-day) % +7.80%-12.07%
📊 Statistical Measures
Average Price 1.321.44
Median Price 1.051.05
Price Std Deviation 1.020.79
🚀 Returns & Growth
CAGR % +708.02%-64.48%
Annualized Return % +708.02%-64.48%
Total Return % +476.43%-62.30%
⚠️ Risk & Volatility
Daily Volatility % 10.33%5.81%
Annualized Volatility % 197.37%110.92%
Max Drawdown % -68.12%-82.07%
Sharpe Ratio 0.103-0.021
Sortino Ratio 0.132-0.024
Calmar Ratio 10.394-0.786
Ulcer Index 34.3765.10
📅 Daily Performance
Win Rate % 53.9%45.3%
Positive Days 165155
Negative Days 141187
Best Day % +93.27%+35.00%
Worst Day % -52.69%-20.03%
Avg Gain (Up Days) % +6.03%+4.35%
Avg Loss (Down Days) % -4.75%-3.83%
Profit Factor 1.480.94
🔥 Streaks & Patterns
Longest Win Streak days 79
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.4840.942
Expectancy % +1.06%-0.12%
Kelly Criterion % 3.70%0.00%
📅 Weekly Performance
Best Week % +95.87%+36.20%
Worst Week % -57.70%-24.69%
Weekly Win Rate % 56.5%53.8%
📆 Monthly Performance
Best Month % +160.01%+46.25%
Worst Month % -30.81%-41.51%
Monthly Win Rate % 72.7%38.5%
🔧 Technical Indicators
RSI (14-period) 70.2229.59
Price vs 50-Day MA % +174.70%-18.14%
Price vs 200-Day MA % +469.92%-24.51%
💰 Volume Analysis
Avg Volume 23,133,849324,833
Total Volume 7,102,091,765112,067,344

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 FTT (FTT): -0.211 (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
FTT: Bybit
ByBit Futures Trading Trade hundreds of crypto perpetual futures