PYTH PYTH / USD Crypto vs EOS EOS / 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

Model:

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

Asset PYTH / USDEOS / USD

📈 Performance Metrics

Start Price 0.420.62

End Price 0.090.24

Price Change % -78.78%-61.02%

Period High 0.531.37

Period Low 0.090.24

Price Range % 518.7%470.2%

🏆 All-Time Records

All-Time High 0.531.37

Days Since ATH 327 days324 days

Distance From ATH % -83.2%-82.5%

All-Time Low 0.090.24

Distance From ATL % +3.7%+0.0%

New ATHs Hit 10 times11 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.42%3.85%

Biggest Jump (1 Day) % +0.11+0.18

Biggest Drop (1 Day) % -0.09-0.26

Days Above Avg % 29.9%41.3%

Extreme Moves days 7 (2.0%)23 (6.7%)

Stability Score % 0.0%0.0%

Trend Strength % 50.4%50.4%

Recent Momentum (10-day) % -17.68%-13.96%

📊 Statistical Measures

Average Price 0.200.63

Median Price 0.150.59

Price Std Deviation 0.110.20

🚀 Returns & Growth

CAGR % -80.79%-63.30%

Annualized Return % -80.79%-63.30%

Total Return % -78.78%-61.02%

⚠️ Risk & Volatility

Daily Volatility % 7.99%5.43%

Annualized Volatility % 152.70%103.73%

Max Drawdown % -83.84%-82.46%

Sharpe Ratio -0.023-0.023

Sortino Ratio -0.029-0.023

Calmar Ratio -0.964-0.768

Ulcer Index 65.7455.09

📅 Daily Performance

Win Rate % 49.4%49.4%

Positive Days 169169

Negative Days 173173

Best Day % +99.34%+19.73%

Worst Day % -32.57%-32.09%

Avg Gain (Up Days) % +4.51%+3.57%

Avg Loss (Down Days) % -4.77%-3.74%

Profit Factor 0.920.93

🔥 Streaks & Patterns

Longest Win Streak days 78

Longest Loss Streak days 66

💹 Trading Metrics

Omega Ratio 0.9240.934

Expectancy % -0.18%-0.12%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+37.89%

Worst Week % -27.08%-24.40%

Weekly Win Rate % 50.9%47.2%

📆 Monthly Performance

Best Month % +65.32%+52.55%

Worst Month % -31.62%-30.10%

Monthly Win Rate % 38.5%23.1%

🔧 Technical Indicators

RSI (14-period) 47.9348.73

Price vs 50-Day MA % -36.58%-36.73%

Price vs 200-Day MA % -33.30%-55.74%

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 EOS (EOS):	0.776 (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
EOS: Coinbase