PYTH PYTH / EUL 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.

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🤖 AI Analysis

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Asset PYTH / EULALGO / USD

📈 Performance Metrics

Start Price 0.110.19

End Price 0.020.16

Price Change % -83.11%-12.84%

Period High 0.140.51

Period Low 0.010.15

Price Range % 1,895.9%230.7%

🏆 All-Time Records

All-Time High 0.140.51

Days Since ATH 312 days321 days

Distance From ATH % -86.9%-68.3%

All-Time Low 0.010.15

Distance From ATL % +161.5%+4.9%

New ATHs Hit 6 times13 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.58%4.37%

Biggest Jump (1 Day) % +0.02+0.12

Biggest Drop (1 Day) % -0.02-0.08

Days Above Avg % 31.1%36.0%

Extreme Moves days 4 (1.2%)18 (5.2%)

Stability Score % 0.0%0.0%

Trend Strength % 54.5%48.1%

Recent Momentum (10-day) % +23.97%-11.62%

📊 Statistical Measures

Average Price 0.040.26

Median Price 0.020.23

Price Std Deviation 0.040.08

🚀 Returns & Growth

CAGR % -84.93%-13.61%

Annualized Return % -84.93%-13.61%

Total Return % -83.11%-12.84%

⚠️ Risk & Volatility

Daily Volatility % 8.60%5.93%

Annualized Volatility % 164.36%113.29%

Max Drawdown % -94.99%-69.76%

Sharpe Ratio -0.0280.022

Sortino Ratio -0.0420.024

Calmar Ratio -0.894-0.195

Ulcer Index 77.6851.03

📅 Daily Performance

Win Rate % 45.5%51.9%

Positive Days 156178

Negative Days 187165

Best Day % +122.12%+36.95%

Worst Day % -19.45%-19.82%

Avg Gain (Up Days) % +4.73%+4.16%

Avg Loss (Down Days) % -4.39%-4.21%

Profit Factor 0.901.06

🔥 Streaks & Patterns

Longest Win Streak days 1211

Longest Loss Streak days 137

💹 Trading Metrics

Omega Ratio 0.9001.065

Expectancy % -0.24%+0.13%

Kelly Criterion % 0.00%0.75%

📅 Weekly Performance

Best Week % +58.79%+87.54%

Worst Week % -36.73%-22.48%

Weekly Win Rate % 42.3%44.2%

📆 Monthly Performance

Best Month % +81.63%+139.16%

Worst Month % -46.80%-31.62%

Monthly Win Rate % 30.8%38.5%

🔧 Technical Indicators

RSI (14-period) 85.3743.50

Price vs 50-Day MA % +12.81%-22.89%

Price vs 200-Day MA % +29.50%-25.95%

💰 Volume Analysis

Avg Volume 282,7128,315,837

Total Volume 97,252,9672,860,647,928

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):	0.764 (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
ALGO: Kraken