PYTH PYTH / DATA Crypto vs G7 G7 / 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 / DATAG7 / USD
📈 Performance Metrics
Start Price 9.980.01
End Price 12.830.00
Price Change % +28.48%-97.85%
Period High 14.210.01
Period Low 5.250.00
Price Range % 170.5%4,560.1%
🏆 All-Time Records
All-Time High 14.210.01
Days Since ATH 17 days247 days
Distance From ATH % -9.7%-97.9%
All-Time Low 5.250.00
Distance From ATL % +144.2%+0.0%
New ATHs Hit 4 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.08%5.05%
Biggest Jump (1 Day) % +6.44+0.00
Biggest Drop (1 Day) % -1.680.00
Days Above Avg % 35.8%56.5%
Extreme Moves days 8 (2.3%)11 (4.5%)
Stability Score % 22.9%0.0%
Trend Strength % 45.2%61.9%
Recent Momentum (10-day) % -2.87%-37.09%
📊 Statistical Measures
Average Price 8.840.00
Median Price 8.510.00
Price Std Deviation 1.680.00
🚀 Returns & Growth
CAGR % +30.56%-99.66%
Annualized Return % +30.56%-99.66%
Total Return % +28.48%-97.85%
⚠️ Risk & Volatility
Daily Volatility % 6.82%12.08%
Annualized Volatility % 130.33%230.82%
Max Drawdown % -50.70%-97.85%
Sharpe Ratio 0.038-0.076
Sortino Ratio 0.061-0.103
Calmar Ratio 0.603-1.018
Ulcer Index 23.1764.28
📅 Daily Performance
Win Rate % 45.2%37.8%
Positive Days 15593
Negative Days 188153
Best Day % +94.28%+101.50%
Worst Day % -24.21%-37.21%
Avg Gain (Up Days) % +3.80%+7.24%
Avg Loss (Down Days) % -2.66%-5.89%
Profit Factor 1.180.75
🔥 Streaks & Patterns
Longest Win Streak days 56
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.1770.748
Expectancy % +0.26%-0.92%
Kelly Criterion % 2.55%0.00%
📅 Weekly Performance
Best Week % +59.89%+72.28%
Worst Week % -37.16%-56.37%
Weekly Win Rate % 61.5%29.7%
📆 Monthly Performance
Best Month % +51.37%+92.32%
Worst Month % -28.92%-74.73%
Monthly Win Rate % 61.5%10.0%
🔧 Technical Indicators
RSI (14-period) 44.174.78
Price vs 50-Day MA % +7.85%-65.72%
Price vs 200-Day MA % +41.49%-94.43%

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 G7 (G7): -0.481 (Moderate negative)

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
G7: Bybit