PYTH PYTH / SIS Crypto vs DATA DATA / 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 PYTH / SISDATA / SIS
📈 Performance Metrics
Start Price 3.650.36
End Price 1.450.13
Price Change % -60.38%-62.70%
Period High 3.650.44
Period Low 1.380.11
Price Range % 164.6%312.8%
🏆 All-Time Records
All-Time High 3.650.44
Days Since ATH 343 days311 days
Distance From ATH % -60.4%-69.5%
All-Time Low 1.380.11
Distance From ATL % +4.8%+25.8%
New ATHs Hit 0 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.53%4.16%
Biggest Jump (1 Day) % +1.54+0.09
Biggest Drop (1 Day) % -0.71-0.06
Days Above Avg % 45.3%49.1%
Extreme Moves days 8 (2.3%)20 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%51.3%
Recent Momentum (10-day) % -4.97%+11.88%
📊 Statistical Measures
Average Price 2.380.28
Median Price 2.290.28
Price Std Deviation 0.570.08
🚀 Returns & Growth
CAGR % -62.66%-64.99%
Annualized Return % -62.66%-64.99%
Total Return % -60.38%-62.70%
⚠️ Risk & Volatility
Daily Volatility % 7.51%5.81%
Annualized Volatility % 143.56%111.07%
Max Drawdown % -62.20%-75.78%
Sharpe Ratio -0.004-0.021
Sortino Ratio -0.005-0.022
Calmar Ratio -1.007-0.858
Ulcer Index 38.2340.77
📅 Daily Performance
Win Rate % 47.1%48.7%
Positive Days 161167
Negative Days 181176
Best Day % +88.45%+35.22%
Worst Day % -19.58%-19.96%
Avg Gain (Up Days) % +4.88%+4.20%
Avg Loss (Down Days) % -4.39%-4.22%
Profit Factor 0.990.94
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 0.9880.944
Expectancy % -0.03%-0.12%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +47.45%+48.05%
Worst Week % -21.19%-22.29%
Weekly Win Rate % 43.4%32.1%
📆 Monthly Performance
Best Month % +52.70%+25.53%
Worst Month % -38.78%-38.09%
Monthly Win Rate % 30.8%30.8%
🔧 Technical Indicators
RSI (14-period) 45.2159.67
Price vs 50-Day MA % -18.63%-11.22%
Price vs 200-Day MA % -29.49%-42.14%

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 DATA (DATA): 0.837 (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
DATA: Binance