PYTH PYTH / ETHPY Crypto vs PYR PYR / 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 / ETHPYPYR / USD
📈 Performance Metrics
Start Price 0.004.38
End Price 0.000.56
Price Change % -82.63%-87.19%
Period High 0.004.67
Period Low 0.000.50
Price Range % 482.1%837.1%
🏆 All-Time Records
All-Time High 0.004.67
Days Since ATH 342 days339 days
Distance From ATH % -82.8%-88.0%
All-Time Low 0.000.50
Distance From ATL % +0.0%+12.7%
New ATHs Hit 1 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.66%4.17%
Biggest Jump (1 Day) % +0.00+0.54
Biggest Drop (1 Day) % 0.00-0.75
Days Above Avg % 47.1%27.2%
Extreme Moves days 11 (3.2%)8 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 55.7%56.6%
Recent Momentum (10-day) % -10.40%-4.85%
📊 Statistical Measures
Average Price 0.001.49
Median Price 0.001.12
Price Std Deviation 0.000.86
🚀 Returns & Growth
CAGR % -84.48%-88.91%
Annualized Return % -84.48%-88.91%
Total Return % -82.63%-87.19%
⚠️ Risk & Volatility
Daily Volatility % 9.01%7.49%
Annualized Volatility % 172.21%143.06%
Max Drawdown % -82.82%-89.33%
Sharpe Ratio -0.019-0.048
Sortino Ratio -0.027-0.062
Calmar Ratio -1.020-0.995
Ulcer Index 57.6070.58
📅 Daily Performance
Win Rate % 44.3%43.2%
Positive Days 152147
Negative Days 191193
Best Day % +106.83%+93.47%
Worst Day % -21.22%-37.37%
Avg Gain (Up Days) % +5.59%+4.46%
Avg Loss (Down Days) % -4.76%-4.04%
Profit Factor 0.930.84
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 69
💹 Trading Metrics
Omega Ratio 0.9340.843
Expectancy % -0.17%-0.36%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +60.71%+60.56%
Worst Week % -23.38%-28.94%
Weekly Win Rate % 40.4%44.2%
📆 Monthly Performance
Best Month % +18.03%+8.62%
Worst Month % -42.50%-31.31%
Monthly Win Rate % 23.1%23.1%
🔧 Technical Indicators
RSI (14-period) 24.1549.83
Price vs 50-Day MA % -23.55%-23.85%
Price vs 200-Day MA % -43.82%-42.97%
💰 Volume Analysis
Avg Volume 591187,716
Total Volume 203,44964,198,967

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 PYR (PYR): 0.843 (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
PYR: Coinbase