PYTH PYTH / EIGEN Crypto vs ACM ACM / 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 / EIGENACM / USD
📈 Performance Metrics
Start Price 0.091.93
End Price 0.140.55
Price Change % +51.52%-71.76%
Period High 0.181.96
Period Low 0.080.52
Price Range % 133.9%273.8%
🏆 All-Time Records
All-Time High 0.181.96
Days Since ATH 84 days342 days
Distance From ATH % -23.5%-72.1%
All-Time Low 0.080.52
Distance From ATL % +79.0%+4.2%
New ATHs Hit 26 times1 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.76%2.85%
Biggest Jump (1 Day) % +0.09+0.26
Biggest Drop (1 Day) % -0.04-0.26
Days Above Avg % 46.5%35.5%
Extreme Moves days 9 (2.6%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 50.1%51.3%
Recent Momentum (10-day) % +6.59%+1.95%
📊 Statistical Measures
Average Price 0.110.96
Median Price 0.110.90
Price Std Deviation 0.030.29
🚀 Returns & Growth
CAGR % +55.61%-73.96%
Annualized Return % +55.61%-73.96%
Total Return % +51.52%-71.76%
⚠️ Risk & Volatility
Daily Volatility % 7.33%4.39%
Annualized Volatility % 140.04%83.82%
Max Drawdown % -56.94%-73.25%
Sharpe Ratio 0.047-0.062
Sortino Ratio 0.067-0.063
Calmar Ratio 0.977-1.010
Ulcer Index 33.1053.00
📅 Daily Performance
Win Rate % 50.3%47.1%
Positive Days 172157
Negative Days 170176
Best Day % +91.66%+27.66%
Worst Day % -23.61%-29.15%
Avg Gain (Up Days) % +4.15%+2.73%
Avg Loss (Down Days) % -3.51%-2.96%
Profit Factor 1.200.82
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.1970.821
Expectancy % +0.34%-0.28%
Kelly Criterion % 2.36%0.00%
📅 Weekly Performance
Best Week % +69.33%+27.70%
Worst Week % -25.75%-18.97%
Weekly Win Rate % 53.8%44.2%
📆 Monthly Performance
Best Month % +52.86%+26.44%
Worst Month % -41.70%-22.69%
Monthly Win Rate % 69.2%38.5%
🔧 Technical Indicators
RSI (14-period) 66.1846.49
Price vs 50-Day MA % +12.40%-11.29%
Price vs 200-Day MA % +31.81%-34.01%

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): -0.253 (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
ACM: Binance
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