PYTH PYTH / SKL 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 / SKLSHELL / USD
📈 Performance Metrics
Start Price 10.320.60
End Price 6.010.12
Price Change % -41.80%-79.75%
Period High 10.660.60
Period Low 2.450.11
Price Range % 334.9%447.5%
🏆 All-Time Records
All-Time High 10.660.60
Days Since ATH 331 days227 days
Distance From ATH % -43.6%-79.7%
All-Time Low 2.450.11
Distance From ATL % +145.2%+10.9%
New ATHs Hit 3 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.32%5.57%
Biggest Jump (1 Day) % +4.07+0.04
Biggest Drop (1 Day) % -2.20-0.11
Days Above Avg % 43.9%32.5%
Extreme Moves days 9 (2.6%)14 (6.2%)
Stability Score % 0.0%0.0%
Trend Strength % 49.9%53.3%
Recent Momentum (10-day) % +4.42%+1.72%
📊 Statistical Measures
Average Price 6.290.18
Median Price 6.170.15
Price Std Deviation 1.270.07
🚀 Returns & Growth
CAGR % -43.79%-92.33%
Annualized Return % -43.79%-92.33%
Total Return % -41.80%-79.75%
⚠️ Risk & Volatility
Daily Volatility % 7.63%6.80%
Annualized Volatility % 145.68%129.91%
Max Drawdown % -77.01%-81.74%
Sharpe Ratio 0.013-0.069
Sortino Ratio 0.016-0.068
Calmar Ratio -0.569-1.130
Ulcer Index 42.6470.97
📅 Daily Performance
Win Rate % 50.1%46.5%
Positive Days 172105
Negative Days 171121
Best Day % +98.63%+20.69%
Worst Day % -46.69%-18.92%
Avg Gain (Up Days) % +3.60%+5.17%
Avg Loss (Down Days) % -3.43%-5.37%
Profit Factor 1.060.84
🔥 Streaks & Patterns
Longest Win Streak days 710
Longest Loss Streak days 79
💹 Trading Metrics
Omega Ratio 1.0570.836
Expectancy % +0.10%-0.47%
Kelly Criterion % 0.78%0.00%
📅 Weekly Performance
Best Week % +55.73%+26.80%
Worst Week % -44.68%-30.99%
Weekly Win Rate % 50.9%45.7%
📆 Monthly Performance
Best Month % +25.26%+24.25%
Worst Month % -39.93%-57.91%
Monthly Win Rate % 53.8%50.0%
🔧 Technical Indicators
RSI (14-period) 65.1353.87
Price vs 50-Day MA % +1.04%-3.63%
Price vs 200-Day MA % +3.23%-23.71%
💰 Volume Analysis
Avg Volume 66,805,18331,857,694
Total Volume 22,980,982,9727,263,554,208

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): 0.158 (Weak)

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
ByBit Futures Trading Trade hundreds of crypto perpetual futures