STEP STEP / SIS Crypto vs PYTH PYTH / SIS 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 / SISPYTH / SIS
📈 Performance Metrics
Start Price 0.622.63
End Price 0.281.20
Price Change % -54.36%-54.25%
Period High 1.853.52
Period Low 0.281.13
Price Range % 552.3%211.0%
🏆 All-Time Records
All-Time High 1.853.52
Days Since ATH 208 days303 days
Distance From ATH % -84.7%-65.9%
All-Time Low 0.281.13
Distance From ATL % +0.0%+6.1%
New ATHs Hit 18 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.70%4.46%
Biggest Jump (1 Day) % +0.29+1.54
Biggest Drop (1 Day) % -0.36-0.53
Days Above Avg % 55.2%45.9%
Extreme Moves days 14 (4.1%)8 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 51.6%52.8%
Recent Momentum (10-day) % -17.85%-15.80%
📊 Statistical Measures
Average Price 1.092.33
Median Price 1.152.25
Price Std Deviation 0.350.57
🚀 Returns & Growth
CAGR % -56.59%-56.49%
Annualized Return % -56.59%-56.49%
Total Return % -54.36%-54.25%
⚠️ Risk & Volatility
Daily Volatility % 8.83%7.46%
Annualized Volatility % 168.76%142.46%
Max Drawdown % -84.67%-67.84%
Sharpe Ratio 0.0170.001
Sortino Ratio 0.0190.002
Calmar Ratio -0.668-0.833
Ulcer Index 41.0637.09
📅 Daily Performance
Win Rate % 48.4%47.2%
Positive Days 166162
Negative Days 177181
Best Day % +48.83%+88.45%
Worst Day % -22.61%-17.66%
Avg Gain (Up Days) % +7.05%+4.85%
Avg Loss (Down Days) % -6.32%-4.33%
Profit Factor 1.051.00
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.0461.004
Expectancy % +0.15%+0.01%
Kelly Criterion % 0.34%0.04%
📅 Weekly Performance
Best Week % +35.75%+47.45%
Worst Week % -39.73%-21.19%
Weekly Win Rate % 51.9%44.2%
📆 Monthly Performance
Best Month % +64.30%+52.70%
Worst Month % -50.69%-38.78%
Monthly Win Rate % 38.5%38.5%
🔧 Technical Indicators
RSI (14-period) 33.3432.28
Price vs 50-Day MA % -40.63%-26.56%
Price vs 200-Day MA % -70.81%-39.21%

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): 0.540 (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

STEP: Kraken
PYTH: Kraken