PYTH PYTH / ETHPY Crypto vs ALGO ALGO / 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 / ETHPYALGO / USD
📈 Performance Metrics
Start Price 0.000.51
End Price 0.000.13
Price Change % -82.36%-73.78%
Period High 0.000.51
Period Low 0.000.13
Price Range % 482.0%290.5%
🏆 All-Time Records
All-Time High 0.000.51
Days Since ATH 343 days343 days
Distance From ATH % -82.4%-73.8%
All-Time Low 0.000.13
Distance From ATL % +2.7%+2.4%
New ATHs Hit 0 times0 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.68%4.02%
Biggest Jump (1 Day) % +0.00+0.07
Biggest Drop (1 Day) % 0.00-0.08
Days Above Avg % 46.8%36.9%
Extreme Moves days 11 (3.2%)19 (5.5%)
Stability Score % 0.0%0.0%
Trend Strength % 55.4%50.1%
Recent Momentum (10-day) % -10.44%-5.41%
📊 Statistical Measures
Average Price 0.000.24
Median Price 0.000.23
Price Std Deviation 0.000.08
🚀 Returns & Growth
CAGR % -84.21%-75.93%
Annualized Return % -84.21%-75.93%
Total Return % -82.36%-73.78%
⚠️ Risk & Volatility
Daily Volatility % 9.02%5.18%
Annualized Volatility % 172.24%98.88%
Max Drawdown % -82.82%-74.39%
Sharpe Ratio -0.019-0.049
Sortino Ratio -0.026-0.048
Calmar Ratio -1.017-1.021
Ulcer Index 57.7754.18
📅 Daily Performance
Win Rate % 44.4%49.9%
Positive Days 152171
Negative Days 190172
Best Day % +106.83%+20.68%
Worst Day % -21.22%-19.82%
Avg Gain (Up Days) % +5.60%+3.57%
Avg Loss (Down Days) % -4.79%-4.06%
Profit Factor 0.940.87
🔥 Streaks & Patterns
Longest Win Streak days 611
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 0.9360.875
Expectancy % -0.17%-0.26%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +60.71%+50.20%
Worst Week % -23.38%-22.48%
Weekly Win Rate % 40.4%42.3%
📆 Monthly Performance
Best Month % +18.03%+42.39%
Worst Month % -42.50%-34.48%
Monthly Win Rate % 23.1%38.5%
🔧 Technical Indicators
RSI (14-period) 33.3939.61
Price vs 50-Day MA % -20.82%-21.65%
Price vs 200-Day MA % -41.87%-37.05%

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 ALGO (ALGO): 0.659 (Moderate 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
ALGO: Kraken