PYTH PYTH / B3 Crypto vs ENS ENS / 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 / B3ENS / USD
📈 Performance Metrics
Start Price 23.6917.34
End Price 75.0012.25
Price Change % +216.63%-29.35%
Period High 78.7747.51
Period Low 23.4512.25
Price Range % 235.8%287.8%
🏆 All-Time Records
All-Time High 78.7747.51
Days Since ATH 62 days318 days
Distance From ATH % -4.8%-74.2%
All-Time Low 23.4512.25
Distance From ATL % +219.8%+0.0%
New ATHs Hit 23 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.58%4.10%
Biggest Jump (1 Day) % +39.25+11.67
Biggest Drop (1 Day) % -12.55-6.92
Days Above Avg % 33.9%41.0%
Extreme Moves days 5 (2.2%)14 (4.1%)
Stability Score % 79.0%74.9%
Trend Strength % 55.5%50.7%
Recent Momentum (10-day) % +36.45%-7.12%
📊 Statistical Measures
Average Price 42.0723.96
Median Price 38.8622.50
Price Std Deviation 12.627.39
🚀 Returns & Growth
CAGR % +527.79%-30.91%
Annualized Return % +527.79%-30.91%
Total Return % +216.63%-29.35%
⚠️ Risk & Volatility
Daily Volatility % 8.83%6.01%
Annualized Volatility % 168.70%114.79%
Max Drawdown % -42.21%-74.22%
Sharpe Ratio 0.0920.012
Sortino Ratio 0.1310.013
Calmar Ratio 12.505-0.417
Ulcer Index 20.9951.16
📅 Daily Performance
Win Rate % 55.7%49.0%
Positive Days 127167
Negative Days 101174
Best Day % +99.34%+51.77%
Worst Day % -24.37%-29.56%
Avg Gain (Up Days) % +4.96%+4.16%
Avg Loss (Down Days) % -4.39%-3.85%
Profit Factor 1.421.04
🔥 Streaks & Patterns
Longest Win Streak days 85
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.4221.037
Expectancy % +0.82%+0.07%
Kelly Criterion % 3.77%0.45%
📅 Weekly Performance
Best Week % +65.80%+72.18%
Worst Week % -18.21%-25.41%
Weekly Win Rate % 60.0%44.2%
📆 Monthly Performance
Best Month % +73.76%+131.95%
Worst Month % -10.46%-30.83%
Monthly Win Rate % 66.7%38.5%
🔧 Technical Indicators
RSI (14-period) 90.4548.43
Price vs 50-Day MA % +29.20%-34.12%
Price vs 200-Day MA % +70.12%-42.46%

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 ENS (ENS): 0.090 (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
ENS: Kraken