PYTH PYTH / ALGO Crypto vs ETHPY ETHPY / 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 / ALGOETHPY / USD
📈 Performance Metrics
Start Price 3.252,902.50
End Price 0.573,418.77
Price Change % -82.39%+17.79%
Period High 3.254,980.82
Period Low 0.411,452.51
Price Range % 702.3%242.9%
🏆 All-Time Records
All-Time High 3.254,980.82
Days Since ATH 343 days55 days
Distance From ATH % -82.4%-31.4%
All-Time Low 0.411,452.51
Distance From ATL % +41.3%+135.4%
New ATHs Hit 0 times20 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.77%4.24%
Biggest Jump (1 Day) % +0.44+883.71
Biggest Drop (1 Day) % -0.43-668.93
Days Above Avg % 25.6%52.3%
Extreme Moves days 8 (2.3%)24 (7.0%)
Stability Score % 0.0%99.8%
Trend Strength % 54.2%46.4%
Recent Momentum (10-day) % -11.91%-8.02%
📊 Statistical Measures
Average Price 0.813,069.91
Median Price 0.723,123.75
Price Std Deviation 0.43887.33
🚀 Returns & Growth
CAGR % -84.24%+19.03%
Annualized Return % -84.24%+19.03%
Total Return % -82.39%+17.79%
⚠️ Risk & Volatility
Daily Volatility % 6.90%6.36%
Annualized Volatility % 131.87%121.56%
Max Drawdown % -87.54%-64.67%
Sharpe Ratio -0.0450.039
Sortino Ratio -0.0630.041
Calmar Ratio -0.9620.294
Ulcer Index 76.2133.13
📅 Daily Performance
Win Rate % 45.8%50.2%
Positive Days 157159
Negative Days 186158
Best Day % +94.89%+27.23%
Worst Day % -26.08%-24.41%
Avg Gain (Up Days) % +3.22%+4.96%
Avg Loss (Down Days) % -3.30%-4.46%
Profit Factor 0.821.12
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 0.8251.121
Expectancy % -0.31%+0.27%
Kelly Criterion % 0.00%1.21%
📅 Weekly Performance
Best Week % +76.23%+39.82%
Worst Week % -39.02%-19.91%
Weekly Win Rate % 48.1%51.9%
📆 Monthly Performance
Best Month % +68.82%+67.24%
Worst Month % -65.55%-28.90%
Monthly Win Rate % 30.8%38.5%
🔧 Technical Indicators
RSI (14-period) 21.3941.03
Price vs 50-Day MA % -18.57%-19.88%
Price vs 200-Day MA % -7.62%+9.11%

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 ETHPY (ETHPY): 0.023 (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
ETHPY: Kraken