PYTH PYTH / EOS Crypto vs ACM ACM / EOS 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 / EOSACM / EOS
📈 Performance Metrics
Start Price 0.642.42
End Price 0.372.30
Price Change % -42.16%-5.02%
Period High 0.682.62
Period Low 0.150.96
Price Range % 343.2%172.1%
🏆 All-Time Records
All-Time High 0.682.62
Days Since ATH 342 days342 days
Distance From ATH % -45.2%-12.4%
All-Time Low 0.150.96
Distance From ATL % +142.9%+138.3%
New ATHs Hit 1 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.39%3.12%
Biggest Jump (1 Day) % +0.22+0.34
Biggest Drop (1 Day) % -0.08-0.30
Days Above Avg % 49.7%51.7%
Extreme Moves days 5 (1.5%)23 (6.7%)
Stability Score % 0.0%0.0%
Trend Strength % 48.1%49.9%
Recent Momentum (10-day) % -5.39%-2.90%
📊 Statistical Measures
Average Price 0.311.70
Median Price 0.311.75
Price Std Deviation 0.110.34
🚀 Returns & Growth
CAGR % -44.15%-5.33%
Annualized Return % -44.15%-5.33%
Total Return % -42.16%-5.02%
⚠️ Risk & Volatility
Daily Volatility % 6.95%4.87%
Annualized Volatility % 132.72%93.13%
Max Drawdown % -77.44%-63.24%
Sharpe Ratio 0.0050.021
Sortino Ratio 0.0070.022
Calmar Ratio -0.570-0.084
Ulcer Index 56.5537.35
📅 Daily Performance
Win Rate % 51.9%50.1%
Positive Days 178172
Negative Days 165171
Best Day % +95.20%+21.11%
Worst Day % -21.36%-20.03%
Avg Gain (Up Days) % +3.38%+3.33%
Avg Loss (Down Days) % -3.58%-3.14%
Profit Factor 1.021.07
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 96
💹 Trading Metrics
Omega Ratio 1.0191.066
Expectancy % +0.03%+0.10%
Kelly Criterion % 0.28%0.99%
📅 Weekly Performance
Best Week % +63.54%+28.85%
Worst Week % -28.54%-30.15%
Weekly Win Rate % 51.9%51.9%
📆 Monthly Performance
Best Month % +70.20%+20.32%
Worst Month % -37.68%-21.22%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 39.3251.09
Price vs 50-Day MA % +0.62%+10.01%
Price vs 200-Day MA % +44.08%+38.59%

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 ACM (ACM): 0.705 (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
ACM: Binance
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