PYTH PYTH / USD Crypto vs SIS SIS / 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 / USDSIS / USD
📈 Performance Metrics
Start Price 0.420.10
End Price 0.080.05
Price Change % -80.65%-52.01%
Period High 0.530.20
Period Low 0.080.05
Price Range % 553.3%331.9%
🏆 All-Time Records
All-Time High 0.530.20
Days Since ATH 331 days322 days
Distance From ATH % -84.7%-75.0%
All-Time Low 0.080.05
Distance From ATL % +0.0%+7.8%
New ATHs Hit 9 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.50%3.95%
Biggest Jump (1 Day) % +0.11+0.04
Biggest Drop (1 Day) % -0.09-0.05
Days Above Avg % 29.7%24.9%
Extreme Moves days 7 (2.0%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%52.6%
Recent Momentum (10-day) % -12.36%+1.13%
📊 Statistical Measures
Average Price 0.200.08
Median Price 0.150.07
Price Std Deviation 0.110.03
🚀 Returns & Growth
CAGR % -82.59%-54.11%
Annualized Return % -82.59%-54.11%
Total Return % -80.65%-52.01%
⚠️ Risk & Volatility
Daily Volatility % 8.00%5.62%
Annualized Volatility % 152.88%107.40%
Max Drawdown % -84.69%-76.84%
Sharpe Ratio -0.026-0.008
Sortino Ratio -0.033-0.008
Calmar Ratio -0.975-0.704
Ulcer Index 66.3762.83
📅 Daily Performance
Win Rate % 48.8%47.2%
Positive Days 167162
Negative Days 175181
Best Day % +99.34%+29.61%
Worst Day % -32.57%-47.27%
Avg Gain (Up Days) % +4.57%+3.63%
Avg Loss (Down Days) % -4.77%-3.33%
Profit Factor 0.910.98
🔥 Streaks & Patterns
Longest Win Streak days 78
Longest Loss Streak days 69
💹 Trading Metrics
Omega Ratio 0.9140.975
Expectancy % -0.21%-0.04%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+41.90%
Worst Week % -27.08%-32.62%
Weekly Win Rate % 51.9%46.2%
📆 Monthly Performance
Best Month % +65.32%+33.01%
Worst Month % -31.62%-27.61%
Monthly Win Rate % 38.5%38.5%
🔧 Technical Indicators
RSI (14-period) 21.0045.84
Price vs 50-Day MA % -39.19%-26.03%
Price vs 200-Day MA % -38.66%-20.76%

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 SIS (SIS): 0.914 (Strong 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
SIS: Bybit