PYTH PYTH / ATOM Crypto vs SHELL SHELL / ATOM 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 / ATOMSHELL / ATOM
📈 Performance Metrics
Start Price 0.050.13
End Price 0.030.02
Price Change % -41.20%-81.86%
Period High 0.060.13
Period Low 0.020.02
Price Range % 159.4%463.1%
🏆 All-Time Records
All-Time High 0.060.13
Days Since ATH 319 days259 days
Distance From ATH % -47.8%-81.9%
All-Time Low 0.020.02
Distance From ATL % +35.4%+2.2%
New ATHs Hit 7 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.77%4.47%
Biggest Jump (1 Day) % +0.02+0.01
Biggest Drop (1 Day) % -0.01-0.03
Days Above Avg % 39.8%31.9%
Extreme Moves days 4 (1.2%)12 (4.6%)
Stability Score % 0.0%0.0%
Trend Strength % 56.6%59.5%
Recent Momentum (10-day) % +1.03%-9.85%
📊 Statistical Measures
Average Price 0.040.04
Median Price 0.030.03
Price Std Deviation 0.010.01
🚀 Returns & Growth
CAGR % -43.17%-90.98%
Annualized Return % -43.17%-90.98%
Total Return % -41.20%-81.86%
⚠️ Risk & Volatility
Daily Volatility % 5.86%5.55%
Annualized Volatility % 112.02%105.95%
Max Drawdown % -61.45%-82.24%
Sharpe Ratio -0.004-0.091
Sortino Ratio -0.007-0.100
Calmar Ratio -0.702-1.106
Ulcer Index 42.2670.98
📅 Daily Performance
Win Rate % 43.4%40.5%
Positive Days 149105
Negative Days 194154
Best Day % +87.33%+25.81%
Worst Day % -11.24%-19.82%
Avg Gain (Up Days) % +3.21%+4.33%
Avg Loss (Down Days) % -2.50%-3.81%
Profit Factor 0.980.78
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 910
💹 Trading Metrics
Omega Ratio 0.9840.777
Expectancy % -0.02%-0.51%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +64.02%+19.99%
Worst Week % -18.49%-32.15%
Weekly Win Rate % 48.1%35.9%
📆 Monthly Performance
Best Month % +53.38%+26.54%
Worst Month % -29.65%-56.70%
Monthly Win Rate % 53.8%36.4%
🔧 Technical Indicators
RSI (14-period) 60.1123.22
Price vs 50-Day MA % -8.57%-21.43%
Price vs 200-Day MA % +1.04%-31.67%
💰 Volume Analysis
Avg Volume 433,4927,428,099
Total Volume 149,121,1721,931,305,670

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): 0.383 (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