PYTH PYTH / USD Crypto vs ENJ ENJ / 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 / USDENJ / USD
📈 Performance Metrics
Start Price 0.380.24
End Price 0.060.03
Price Change % -84.71%-88.52%
Period High 0.400.25
Period Low 0.050.03
Price Range % 633.0%865.1%
🏆 All-Time Records
All-Time High 0.400.25
Days Since ATH 329 days329 days
Distance From ATH % -85.3%-89.1%
All-Time Low 0.050.03
Distance From ATL % +8.1%+5.4%
New ATHs Hit 2 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.51%3.97%
Biggest Jump (1 Day) % +0.11+0.02
Biggest Drop (1 Day) % -0.05-0.03
Days Above Avg % 35.8%34.3%
Extreme Moves days 6 (1.7%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 53.1%52.2%
Recent Momentum (10-day) % -13.55%-14.56%
📊 Statistical Measures
Average Price 0.160.09
Median Price 0.140.07
Price Std Deviation 0.080.05
🚀 Returns & Growth
CAGR % -86.44%-90.01%
Annualized Return % -86.44%-90.01%
Total Return % -84.71%-88.52%
⚠️ Risk & Volatility
Daily Volatility % 7.90%5.34%
Annualized Volatility % 150.92%101.96%
Max Drawdown % -86.36%-89.64%
Sharpe Ratio -0.036-0.091
Sortino Ratio -0.047-0.087
Calmar Ratio -1.001-1.004
Ulcer Index 63.1267.51
📅 Daily Performance
Win Rate % 46.8%46.2%
Positive Days 160154
Negative Days 182179
Best Day % +99.34%+32.88%
Worst Day % -32.57%-29.94%
Avg Gain (Up Days) % +4.61%+3.72%
Avg Loss (Down Days) % -4.59%-4.13%
Profit Factor 0.880.77
🔥 Streaks & Patterns
Longest Win Streak days 75
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 0.8830.775
Expectancy % -0.29%-0.50%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+39.37%
Worst Week % -23.21%-20.78%
Weekly Win Rate % 48.1%36.5%
📆 Monthly Performance
Best Month % +65.32%+9.21%
Worst Month % -32.91%-29.49%
Monthly Win Rate % 30.8%23.1%
🔧 Technical Indicators
RSI (14-period) 32.4923.16
Price vs 50-Day MA % -23.56%-20.28%
Price vs 200-Day MA % -50.15%-56.10%

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 ENJ (ENJ): 0.962 (Strong 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
ENJ: Kraken