PYTH PYTH / PYTH Crypto vs TA TA / PYTH 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 / PYTHTA / PYTH
📈 Performance Metrics
Start Price 1.000.79
End Price 1.000.40
Price Change % +0.00%-48.99%
Period High 1.000.99
Period Low 1.000.23
Price Range % 0.0%324.1%
🏆 All-Time Records
All-Time High 1.000.99
Days Since ATH 343 days40 days
Distance From ATH % +0.0%-59.4%
All-Time Low 1.000.23
Distance From ATL % +0.0%+72.1%
New ATHs Hit 0 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 0.00%8.65%
Biggest Jump (1 Day) % +0.00+0.41
Biggest Drop (1 Day) % 0.00-0.30
Days Above Avg % 0.0%37.8%
Extreme Moves days 0 (0.0%)2 (2.2%)
Stability Score % 100.0%0.0%
Trend Strength % 0.0%52.8%
Recent Momentum (10-day) % +0.00%-2.32%
📊 Statistical Measures
Average Price 1.000.55
Median Price 1.000.51
Price Std Deviation 0.000.16
🚀 Returns & Growth
CAGR % +0.00%-93.68%
Annualized Return % +0.00%-93.68%
Total Return % +0.00%-48.99%
⚠️ Risk & Volatility
Daily Volatility % 0.00%21.67%
Annualized Volatility % 0.00%413.96%
Max Drawdown % -0.00%-70.36%
Sharpe Ratio 0.0000.036
Sortino Ratio 0.0000.065
Calmar Ratio 0.000-1.331
Ulcer Index 0.0041.64
📅 Daily Performance
Win Rate % 0.0%47.2%
Positive Days 042
Negative Days 047
Best Day % +0.00%+175.73%
Worst Day % 0.00%-51.06%
Avg Gain (Up Days) % +0.00%+10.32%
Avg Loss (Down Days) % -0.00%-7.75%
Profit Factor 0.001.19
🔥 Streaks & Patterns
Longest Win Streak days 04
Longest Loss Streak days 04
💹 Trading Metrics
Omega Ratio 0.0001.190
Expectancy % +0.00%+0.78%
Kelly Criterion % 0.00%0.97%
📅 Weekly Performance
Best Week % +0.00%+56.05%
Worst Week % 0.00%-31.87%
Weekly Win Rate % 0.0%42.9%
📆 Monthly Performance
Best Month % +0.00%+25.34%
Worst Month % 0.00%-37.92%
Monthly Win Rate % 0.0%40.0%
🔧 Technical Indicators
RSI (14-period) 100.0048.68
Price vs 50-Day MA % +0.00%-30.76%
Price vs 200-Day MA % +0.00%N/A
💰 Volume Analysis
Avg Volume 11,248,497633,233,228
Total Volume 3,869,482,94456,990,990,559

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 TA (TA): 0.000 (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
TA: Bybit