PYTH PYTH / DATA Crypto vs DOP1 DOP1 / 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 / DATADOP1 / USD
📈 Performance Metrics
Start Price 10.670.00
End Price 12.900.00
Price Change % +20.88%-93.22%
Period High 14.210.00
Period Low 5.250.00
Price Range % 170.5%2,245.9%
🏆 All-Time Records
All-Time High 14.210.00
Days Since ATH 15 days303 days
Distance From ATH % -9.2%-95.7%
All-Time Low 5.250.00
Distance From ATL % +145.7%+0.0%
New ATHs Hit 3 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.08%8.19%
Biggest Jump (1 Day) % +6.44+0.00
Biggest Drop (1 Day) % -1.680.00
Days Above Avg % 36.3%29.3%
Extreme Moves days 8 (2.3%)12 (3.8%)
Stability Score % 22.7%0.0%
Trend Strength % 44.6%58.1%
Recent Momentum (10-day) % +0.58%-23.95%
📊 Statistical Measures
Average Price 8.830.00
Median Price 8.510.00
Price Std Deviation 1.660.00
🚀 Returns & Growth
CAGR % +22.36%-95.36%
Annualized Return % +22.36%-95.36%
Total Return % +20.88%-93.22%
⚠️ Risk & Volatility
Daily Volatility % 6.83%12.31%
Annualized Volatility % 130.41%235.22%
Max Drawdown % -50.80%-95.74%
Sharpe Ratio 0.035-0.016
Sortino Ratio 0.057-0.023
Calmar Ratio 0.440-0.996
Ulcer Index 23.2882.03
📅 Daily Performance
Win Rate % 44.7%41.9%
Positive Days 153134
Negative Days 189186
Best Day % +94.28%+95.57%
Worst Day % -24.21%-29.35%
Avg Gain (Up Days) % +3.84%+8.54%
Avg Loss (Down Days) % -2.67%-6.49%
Profit Factor 1.160.95
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.1640.947
Expectancy % +0.24%-0.20%
Kelly Criterion % 2.36%0.00%
📅 Weekly Performance
Best Week % +59.89%+463.26%
Worst Week % -37.16%-33.52%
Weekly Win Rate % 58.5%31.3%
📆 Monthly Performance
Best Month % +51.37%+180.80%
Worst Month % -28.92%-58.38%
Monthly Win Rate % 53.8%8.3%
🔧 Technical Indicators
RSI (14-period) 43.3234.99
Price vs 50-Day MA % +9.30%-63.35%
Price vs 200-Day MA % +43.01%-52.45%

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 DOP1 (DOP1): 0.107 (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

PYTH: Kraken
DOP1: Bybit