PYTH PYTH / SIS Crypto vs EUL EUL / SIS 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 / SISEUL / SIS
📈 Performance Metrics
Start Price 4.0131.68
End Price 2.04159.27
Price Change % -49.07%+402.69%
Period High 4.56228.68
Period Low 1.4217.80
Price Range % 221.2%1,184.7%
🏆 All-Time Records
All-Time High 4.56228.68
Days Since ATH 339 days97 days
Distance From ATH % -55.3%-30.4%
All-Time Low 1.4217.80
Distance From ATL % +43.6%+794.8%
New ATHs Hit 4 times47 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.60%4.06%
Biggest Jump (1 Day) % +1.54+58.57
Biggest Drop (1 Day) % -0.71-28.39
Days Above Avg % 44.2%54.9%
Extreme Moves days 9 (2.6%)17 (5.0%)
Stability Score % 0.0%93.8%
Trend Strength % 51.3%53.6%
Recent Momentum (10-day) % -6.61%+4.51%
📊 Statistical Measures
Average Price 2.57109.56
Median Price 2.44122.83
Price Std Deviation 0.6757.76
🚀 Returns & Growth
CAGR % -51.23%+457.55%
Annualized Return % -51.23%+457.55%
Total Return % -49.07%+402.69%
⚠️ Risk & Volatility
Daily Volatility % 7.55%6.80%
Annualized Volatility % 144.15%129.83%
Max Drawdown % -68.86%-55.61%
Sharpe Ratio 0.0060.101
Sortino Ratio 0.0080.120
Calmar Ratio -0.7448.228
Ulcer Index 46.0123.57
📅 Daily Performance
Win Rate % 48.7%53.6%
Positive Days 167184
Negative Days 176159
Best Day % +88.45%+57.70%
Worst Day % -19.58%-16.52%
Avg Gain (Up Days) % +4.80%+4.96%
Avg Loss (Down Days) % -4.46%-4.26%
Profit Factor 1.021.35
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.0211.349
Expectancy % +0.05%+0.69%
Kelly Criterion % 0.22%3.26%
📅 Weekly Performance
Best Week % +47.45%+92.59%
Worst Week % -21.19%-25.63%
Weekly Win Rate % 47.2%49.1%
📆 Monthly Performance
Best Month % +52.70%+91.82%
Worst Month % -38.78%-21.44%
Monthly Win Rate % 38.5%46.2%
🔧 Technical Indicators
RSI (14-period) 51.3968.67
Price vs 50-Day MA % -6.82%+19.88%
Price vs 200-Day MA % -6.07%+4.57%
💰 Volume Analysis
Avg Volume 26,109,80449,779
Total Volume 8,981,772,62317,074,107

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 EUL (EUL): -0.712 (Strong 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

PYTH: Kraken
EUL: Kraken