PYTH PYTH / ACM Crypto vs EOS EOS / 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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Asset PYTH / ACMEOS / USD

📈 Performance Metrics

Start Price 0.270.49

End Price 0.170.29

Price Change % -37.41%-39.78%

Period High 0.291.37

Period Low 0.110.24

Price Range % 172.3%461.4%

🏆 All-Time Records

All-Time High 0.291.37

Days Since ATH 321 days315 days

Distance From ATH % -41.8%-78.6%

All-Time Low 0.110.24

Distance From ATL % +58.4%+20.2%

New ATHs Hit 4 times15 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.46%3.93%

Biggest Jump (1 Day) % +0.12+0.18

Biggest Drop (1 Day) % -0.05-0.26

Days Above Avg % 43.9%40.5%

Extreme Moves days 6 (1.7%)25 (7.3%)

Stability Score % 0.0%0.0%

Trend Strength % 53.1%49.7%

Recent Momentum (10-day) % -5.69%-27.03%

📊 Statistical Measures

Average Price 0.180.64

Median Price 0.180.60

Price Std Deviation 0.040.19

🚀 Returns & Growth

CAGR % -39.26%-41.80%

Annualized Return % -39.26%-41.80%

Total Return % -37.41%-39.78%

⚠️ Risk & Volatility

Daily Volatility % 7.04%5.60%

Annualized Volatility % 134.42%107.03%

Max Drawdown % -63.27%-82.19%

Sharpe Ratio 0.0090.002

Sortino Ratio 0.0130.002

Calmar Ratio -0.621-0.509

Ulcer Index 39.5853.59

📅 Daily Performance

Win Rate % 46.9%50.1%

Positive Days 161171

Negative Days 182170

Best Day % +96.26%+19.73%

Worst Day % -24.42%-32.09%

Avg Gain (Up Days) % +3.97%+3.76%

Avg Loss (Down Days) % -3.40%-3.76%

Profit Factor 1.031.01

🔥 Streaks & Patterns

Longest Win Streak days 78

Longest Loss Streak days 86

💹 Trading Metrics

Omega Ratio 1.0341.006

Expectancy % +0.06%+0.01%

Kelly Criterion % 0.46%0.08%

📅 Weekly Performance

Best Week % +70.10%+37.89%

Worst Week % -20.55%-24.40%

Weekly Win Rate % 51.9%51.9%

📆 Monthly Performance

Best Month % +58.98%+92.94%

Worst Month % -24.69%-30.10%

Monthly Win Rate % 30.8%30.8%

🔧 Technical Indicators

RSI (14-period) 46.2435.25

Price vs 50-Day MA % -6.61%-29.95%

Price vs 200-Day MA % +7.42%-48.04%

💰 Volume Analysis

Avg Volume 1,963,8472,750,247

Total Volume 675,563,443943,334,815

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 EOS (EOS):	0.598 (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
EOS: Coinbase