PYTH PYTH / TRAC 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 / TRACFTT / USD
📈 Performance Metrics
Start Price 0.551.66
End Price 0.180.78
Price Change % -68.09%-53.08%
Period High 0.613.87
Period Low 0.170.72
Price Range % 256.9%434.4%
🏆 All-Time Records
All-Time High 0.613.87
Days Since ATH 46 days286 days
Distance From ATH % -71.1%-79.9%
All-Time Low 0.170.72
Distance From ATL % +3.3%+7.4%
New ATHs Hit 4 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.46%4.68%
Biggest Jump (1 Day) % +0.29+0.78
Biggest Drop (1 Day) % -0.15-0.49
Days Above Avg % 53.2%35.1%
Extreme Moves days 8 (2.3%)17 (4.9%)
Stability Score % 0.0%0.0%
Trend Strength % 49.3%54.1%
Recent Momentum (10-day) % -41.84%-8.47%
📊 Statistical Measures
Average Price 0.391.47
Median Price 0.401.11
Price Std Deviation 0.080.78
🚀 Returns & Growth
CAGR % -70.35%-55.19%
Annualized Return % -70.35%-55.19%
Total Return % -68.09%-53.08%
⚠️ Risk & Volatility
Daily Volatility % 7.89%5.87%
Annualized Volatility % 150.67%112.14%
Max Drawdown % -71.98%-81.29%
Sharpe Ratio -0.007-0.009
Sortino Ratio -0.009-0.010
Calmar Ratio -0.977-0.679
Ulcer Index 36.4063.65
📅 Daily Performance
Win Rate % 50.6%45.6%
Positive Days 173156
Negative Days 169186
Best Day % +97.56%+35.00%
Worst Day % -44.40%-20.03%
Avg Gain (Up Days) % +4.34%+4.49%
Avg Loss (Down Days) % -4.56%-3.86%
Profit Factor 0.970.97
🔥 Streaks & Patterns
Longest Win Streak days 69
Longest Loss Streak days 49
💹 Trading Metrics
Omega Ratio 0.9740.975
Expectancy % -0.06%-0.05%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +84.84%+36.20%
Worst Week % -20.11%-24.69%
Weekly Win Rate % 53.8%53.8%
📆 Monthly Performance
Best Month % +112.15%+46.25%
Worst Month % -27.31%-41.51%
Monthly Win Rate % 38.5%38.5%
🔧 Technical Indicators
RSI (14-period) 16.2221.14
Price vs 50-Day MA % -57.64%-10.14%
Price vs 200-Day MA % -49.08%-17.05%

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): 0.492 (Moderate 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

PYTH: Kraken
FTT: Bybit