STEP STEP / SHELL Crypto vs PYTH PYTH / SHELL 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 STEP / SHELLPYTH / SHELL
📈 Performance Metrics
Start Price 0.110.35
End Price 0.281.13
Price Change % +151.91%+222.08%
Period High 0.711.74
Period Low 0.110.35
Price Range % 545.7%397.4%
🏆 All-Time Records
All-Time High 0.711.74
Days Since ATH 220 days82 days
Distance From ATH % -61.0%-35.2%
All-Time Low 0.110.35
Distance From ATL % +151.9%+222.1%
New ATHs Hit 19 times24 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.89%4.28%
Biggest Jump (1 Day) % +0.14+0.78
Biggest Drop (1 Day) % -0.12-0.34
Days Above Avg % 53.0%39.8%
Extreme Moves days 18 (6.8%)5 (1.9%)
Stability Score % 0.0%0.0%
Trend Strength % 53.2%55.8%
Recent Momentum (10-day) % +4.43%+7.67%
📊 Statistical Measures
Average Price 0.410.88
Median Price 0.420.79
Price Std Deviation 0.110.27
🚀 Returns & Growth
CAGR % +256.99%+400.79%
Annualized Return % +256.99%+400.79%
Total Return % +151.91%+222.08%
⚠️ Risk & Volatility
Daily Volatility % 9.51%7.93%
Annualized Volatility % 181.69%151.46%
Max Drawdown % -69.49%-54.56%
Sharpe Ratio 0.0830.089
Sortino Ratio 0.0900.116
Calmar Ratio 3.6987.346
Ulcer Index 38.2931.84
📅 Daily Performance
Win Rate % 53.4%56.1%
Positive Days 141148
Negative Days 123116
Best Day % +36.87%+88.54%
Worst Day % -22.40%-26.12%
Avg Gain (Up Days) % +7.44%+4.63%
Avg Loss (Down Days) % -6.82%-4.29%
Profit Factor 1.251.38
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 76
💹 Trading Metrics
Omega Ratio 1.2511.376
Expectancy % +0.80%+0.71%
Kelly Criterion % 1.57%3.57%
📅 Weekly Performance
Best Week % +60.32%+80.64%
Worst Week % -27.07%-13.74%
Weekly Win Rate % 50.0%60.0%
📆 Monthly Performance
Best Month % +225.03%+108.69%
Worst Month % -33.79%-18.10%
Monthly Win Rate % 45.5%54.5%
🔧 Technical Indicators
RSI (14-period) 39.8950.67
Price vs 50-Day MA % -14.46%-1.04%
Price vs 200-Day MA % -34.34%+20.37%

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).

STEP (STEP) vs PYTH (PYTH): 0.293 (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

STEP: Kraken
PYTH: Kraken