HOOK HOOK / EIGEN Crypto vs PYTH PYTH / EIGEN Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset HOOK / EIGENPYTH / EIGEN

📈 Performance Metrics

Start Price 0.160.13

End Price 0.080.13

Price Change % -50.82%-0.82%

Period High 0.180.18

Period Low 0.050.08

Price Range % 259.2%133.9%

🏆 All-Time Records

All-Time High 0.180.18

Days Since ATH 340 days74 days

Distance From ATH % -55.0%-26.7%

All-Time Low 0.050.08

Distance From ATL % +61.5%+71.4%

New ATHs Hit 3 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.93%3.88%

Biggest Jump (1 Day) % +0.02+0.09

Biggest Drop (1 Day) % -0.03-0.04

Days Above Avg % 45.6%45.6%

Extreme Moves days 22 (6.4%)9 (2.6%)

Stability Score % 0.0%0.0%

Trend Strength % 52.8%50.4%

Recent Momentum (10-day) % +4.11%-1.73%

📊 Statistical Measures

Average Price 0.100.11

Median Price 0.100.11

Price Std Deviation 0.030.03

🚀 Returns & Growth

CAGR % -53.00%-0.87%

Annualized Return % -53.00%-0.87%

Total Return % -50.82%-0.82%

⚠️ Risk & Volatility

Daily Volatility % 5.52%7.47%

Annualized Volatility % 105.37%142.79%

Max Drawdown % -72.16%-56.94%

Sharpe Ratio -0.0100.031

Sortino Ratio -0.0100.042

Calmar Ratio -0.735-0.015

Ulcer Index 45.3834.28

📅 Daily Performance

Win Rate % 47.2%49.6%

Positive Days 162170

Negative Days 181173

Best Day % +22.64%+91.66%

Worst Day % -21.81%-23.61%

Avg Gain (Up Days) % +4.14%+4.21%

Avg Loss (Down Days) % -3.80%-3.68%

Profit Factor 0.971.12

🔥 Streaks & Patterns

Longest Win Streak days 66

Longest Loss Streak days 78

💹 Trading Metrics

Omega Ratio 0.9741.124

Expectancy % -0.05%+0.23%

Kelly Criterion % 0.00%1.49%

📅 Weekly Performance

Best Week % +20.25%+69.33%

Worst Week % -24.30%-25.75%

Weekly Win Rate % 46.2%51.9%

📆 Monthly Performance

Best Month % +23.51%+52.86%

Worst Month % -40.20%-41.70%

Monthly Win Rate % 38.5%53.8%

🔧 Technical Indicators

RSI (14-period) 62.4256.83

Price vs 50-Day MA % +15.84%+16.92%

Price vs 200-Day MA % -7.32%+24.75%

💰 Volume Analysis

Avg Volume 2,516,3031,464,796

Total Volume 865,608,395503,889,776

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).

HOOK (HOOK) vs PYTH (PYTH):	0.682 (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

HOOK: Bybit
PYTH: Kraken