JEFF JEFF / PYTH Crypto vs ESX ESX / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset JEFF / PYTHESX / PYTH

📈 Performance Metrics

Start Price 0.020.16

End Price 0.000.07

Price Change % -77.42%-53.83%

Period High 0.050.23

Period Low 0.000.05

Price Range % 1,353.9%384.9%

🏆 All-Time Records

All-Time High 0.050.23

Days Since ATH 222 days138 days

Distance From ATH % -90.9%-68.1%

All-Time Low 0.000.05

Distance From ATL % +31.7%+54.5%

New ATHs Hit 12 times2 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.52%7.46%

Biggest Jump (1 Day) % +0.02+0.06

Biggest Drop (1 Day) % -0.01-0.09

Days Above Avg % 36.3%37.6%

Extreme Moves days 11 (3.2%)6 (4.1%)

Stability Score % 0.0%0.0%

Trend Strength % 48.4%59.5%

Recent Momentum (10-day) % -23.44%+39.44%

📊 Statistical Measures

Average Price 0.020.11

Median Price 0.020.09

Price Std Deviation 0.010.05

🚀 Returns & Growth

CAGR % -79.48%-85.13%

Annualized Return % -79.48%-85.13%

Total Return % -77.42%-53.83%

⚠️ Risk & Volatility

Daily Volatility % 10.79%10.96%

Annualized Volatility % 206.21%209.30%

Max Drawdown % -93.12%-79.38%

Sharpe Ratio 0.0210.009

Sortino Ratio 0.0210.011

Calmar Ratio -0.853-1.073

Ulcer Index 55.0655.57

📅 Daily Performance

Win Rate % 51.6%40.5%

Positive Days 17760

Negative Days 16688

Best Day % +89.82%+49.31%

Worst Day % -74.77%-52.65%

Avg Gain (Up Days) % +6.60%+8.86%

Avg Loss (Down Days) % -6.58%-5.87%

Profit Factor 1.071.03

🔥 Streaks & Patterns

Longest Win Streak days 74

Longest Loss Streak days 75

💹 Trading Metrics

Omega Ratio 1.0701.029

Expectancy % +0.22%+0.10%

Kelly Criterion % 0.51%0.20%

📅 Weekly Performance

Best Week % +62.01%+137.82%

Worst Week % -70.44%-49.21%

Weekly Win Rate % 46.2%43.5%

📆 Monthly Performance

Best Month % +68.02%+39.06%

Worst Month % -70.44%-39.54%

Monthly Win Rate % 38.5%28.6%

🔧 Technical Indicators

RSI (14-period) 33.1872.21

Price vs 50-Day MA % -64.35%+13.90%

Price vs 200-Day MA % -71.78%N/A

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).

JEFF (JEFF) vs ESX (ESX):	0.451 (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

JEFF: Bybit
ESX: Kraken