EVER EVER / PYTH Crypto vs PYTH PYTH / 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 EVER / PYTHPYTH / USD
📈 Performance Metrics
Start Price 0.060.33
End Price 0.110.11
Price Change % +74.01%-67.08%
Period High 0.190.53
Period Low 0.040.09
Price Range % 419.6%518.7%
🏆 All-Time Records
All-Time High 0.190.53
Days Since ATH 128 days313 days
Distance From ATH % -41.1%-79.4%
All-Time Low 0.040.09
Distance From ATL % +206.1%+27.4%
New ATHs Hit 13 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.61%4.40%
Biggest Jump (1 Day) % +0.09+0.11
Biggest Drop (1 Day) % -0.04-0.09
Days Above Avg % 43.6%30.5%
Extreme Moves days 10 (2.9%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%49.6%
Recent Momentum (10-day) % +2.01%-3.55%
📊 Statistical Measures
Average Price 0.080.21
Median Price 0.060.16
Price Std Deviation 0.030.12
🚀 Returns & Growth
CAGR % +80.30%-69.35%
Annualized Return % +80.30%-69.35%
Total Return % +74.01%-67.08%
⚠️ Risk & Volatility
Daily Volatility % 9.64%7.91%
Annualized Volatility % 184.10%151.21%
Max Drawdown % -78.50%-83.84%
Sharpe Ratio 0.059-0.008
Sortino Ratio 0.078-0.010
Calmar Ratio 1.023-0.827
Ulcer Index 35.9563.65
📅 Daily Performance
Win Rate % 50.7%50.4%
Positive Days 174173
Negative Days 169170
Best Day % +101.40%+99.34%
Worst Day % -50.25%-32.57%
Avg Gain (Up Days) % +5.98%+4.48%
Avg Loss (Down Days) % -4.99%-4.68%
Profit Factor 1.230.97
🔥 Streaks & Patterns
Longest Win Streak days 87
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 1.2330.974
Expectancy % +0.57%-0.06%
Kelly Criterion % 1.92%0.00%
📅 Weekly Performance
Best Week % +85.26%+65.86%
Worst Week % -42.48%-27.08%
Weekly Win Rate % 50.9%50.9%
📆 Monthly Performance
Best Month % +143.60%+65.32%
Worst Month % -43.16%-31.62%
Monthly Win Rate % 61.5%38.5%
🔧 Technical Indicators
RSI (14-period) 46.9828.99
Price vs 50-Day MA % +16.33%-30.99%
Price vs 200-Day MA % +13.96%-19.76%
💰 Volume Analysis
Avg Volume 23,576,2281,912,927
Total Volume 8,110,222,440658,046,884

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).

EVER (EVER) vs PYTH (PYTH): -0.594 (Moderate negative)

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

EVER: Bybit
PYTH: Kraken