PYTH PYTH / NIL 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 / NILSHELL / USD
📈 Performance Metrics
Start Price 0.300.60
End Price 0.480.12
Price Change % +55.96%-79.75%
Period High 0.800.60
Period Low 0.250.11
Price Range % 215.8%447.5%
🏆 All-Time Records
All-Time High 0.800.60
Days Since ATH 44 days227 days
Distance From ATH % -40.3%-79.7%
All-Time Low 0.250.11
Distance From ATL % +88.5%+10.9%
New ATHs Hit 17 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.17%5.57%
Biggest Jump (1 Day) % +0.38+0.04
Biggest Drop (1 Day) % -0.10-0.11
Days Above Avg % 43.3%32.5%
Extreme Moves days 3 (1.5%)14 (6.2%)
Stability Score % 0.0%0.0%
Trend Strength % 54.5%53.3%
Recent Momentum (10-day) % -6.17%+1.72%
📊 Statistical Measures
Average Price 0.390.18
Median Price 0.380.15
Price Std Deviation 0.100.07
🚀 Returns & Growth
CAGR % +125.02%-92.33%
Annualized Return % +125.02%-92.33%
Total Return % +55.96%-79.75%
⚠️ Risk & Volatility
Daily Volatility % 8.50%6.80%
Annualized Volatility % 162.46%129.91%
Max Drawdown % -42.56%-81.74%
Sharpe Ratio 0.059-0.069
Sortino Ratio 0.089-0.068
Calmar Ratio 2.937-1.130
Ulcer Index 22.4070.97
📅 Daily Performance
Win Rate % 54.5%46.5%
Positive Days 109105
Negative Days 91121
Best Day % +95.41%+20.69%
Worst Day % -19.24%-18.92%
Avg Gain (Up Days) % +4.33%+5.17%
Avg Loss (Down Days) % -4.08%-5.37%
Profit Factor 1.270.84
🔥 Streaks & Patterns
Longest Win Streak days 910
Longest Loss Streak days 79
💹 Trading Metrics
Omega Ratio 1.2700.836
Expectancy % +0.50%-0.47%
Kelly Criterion % 2.84%0.00%
📅 Weekly Performance
Best Week % +65.80%+26.80%
Worst Week % -16.52%-30.99%
Weekly Win Rate % 48.4%45.7%
📆 Monthly Performance
Best Month % +66.95%+24.25%
Worst Month % -29.41%-57.91%
Monthly Win Rate % 55.6%50.0%
🔧 Technical Indicators
RSI (14-period) 34.7453.87
Price vs 50-Day MA % -9.67%-3.63%
Price vs 200-Day MA % +20.26%-23.71%
💰 Volume Analysis
Avg Volume 7,219,03531,857,694
Total Volume 1,451,026,0187,263,554,208

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): -0.483 (Moderate 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
SHELL: Binance