PYTH PYTH / XETHZ Crypto vs SHELL SHELL / 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 PYTH / XETHZSHELL / USD
📈 Performance Metrics
Start Price 0.000.60
End Price 0.000.06
Price Change % -82.89%-90.80%
Period High 0.000.60
Period Low 0.000.05
Price Range % 484.4%1,032.4%
🏆 All-Time Records
All-Time High 0.000.60
Days Since ATH 343 days259 days
Distance From ATH % -82.9%-90.8%
All-Time Low 0.000.05
Distance From ATL % +0.0%+4.2%
New ATHs Hit 0 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.97%5.53%
Biggest Jump (1 Day) % +0.00+0.04
Biggest Drop (1 Day) % 0.00-0.11
Days Above Avg % 47.7%35.0%
Extreme Moves days 4 (1.2%)15 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 58.9%54.1%
Recent Momentum (10-day) % -10.48%-17.43%
📊 Statistical Measures
Average Price 0.000.17
Median Price 0.000.15
Price Std Deviation 0.000.07
🚀 Returns & Growth
CAGR % -84.72%-96.54%
Annualized Return % -84.72%-96.54%
Total Return % -82.89%-90.80%
⚠️ Risk & Volatility
Daily Volatility % 6.70%6.64%
Annualized Volatility % 128.04%126.94%
Max Drawdown % -82.89%-91.17%
Sharpe Ratio -0.051-0.105
Sortino Ratio -0.086-0.102
Calmar Ratio -1.022-1.059
Ulcer Index 58.2373.09
📅 Daily Performance
Win Rate % 41.1%45.5%
Positive Days 141117
Negative Days 202140
Best Day % +99.07%+20.69%
Worst Day % -21.27%-18.92%
Avg Gain (Up Days) % +3.32%+4.93%
Avg Loss (Down Days) % -2.90%-5.40%
Profit Factor 0.800.76
🔥 Streaks & Patterns
Longest Win Streak days 510
Longest Loss Streak days 99
💹 Trading Metrics
Omega Ratio 0.7990.762
Expectancy % -0.34%-0.70%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.32%+26.80%
Worst Week % -17.60%-30.99%
Weekly Win Rate % 34.6%46.2%
📆 Monthly Performance
Best Month % +31.22%+24.25%
Worst Month % -43.23%-57.91%
Monthly Win Rate % 23.1%45.5%
🔧 Technical Indicators
RSI (14-period) 14.8924.74
Price vs 50-Day MA % -23.22%-41.43%
Price vs 200-Day MA % -42.94%-62.34%
💰 Volume Analysis
Avg Volume 59230,812,924
Total Volume 203,4918,011,360,144

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 SHELL (SHELL): 0.664 (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

PYTH: Kraken
SHELL: Binance