ACM ACM / AERGO Crypto vs PYTH PYTH / USD Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset ACM / AERGOPYTH / USD
📈 Performance Metrics
Start Price 13.120.44
End Price 8.770.08
Price Change % -33.14%-82.56%
Period High 16.750.53
Period Low 1.780.07
Price Range % 840.9%632.6%
🏆 All-Time Records
All-Time High 16.750.53
Days Since ATH 214 days335 days
Distance From ATH % -47.6%-85.3%
All-Time Low 1.780.07
Distance From ATL % +392.9%+7.5%
New ATHs Hit 9 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.95%4.57%
Biggest Jump (1 Day) % +3.72+0.11
Biggest Drop (1 Day) % -7.42-0.09
Days Above Avg % 41.4%29.4%
Extreme Moves days 4 (1.2%)6 (1.7%)
Stability Score % 0.0%0.0%
Trend Strength % 48.5%51.6%
Recent Momentum (10-day) % -0.08%-19.69%
📊 Statistical Measures
Average Price 9.230.19
Median Price 8.730.15
Price Std Deviation 3.030.11
🚀 Returns & Growth
CAGR % -34.92%-84.41%
Annualized Return % -34.92%-84.41%
Total Return % -33.14%-82.56%
⚠️ Risk & Volatility
Daily Volatility % 13.32%8.02%
Annualized Volatility % 254.53%153.19%
Max Drawdown % -89.37%-86.35%
Sharpe Ratio 0.034-0.030
Sortino Ratio 0.055-0.037
Calmar Ratio -0.391-0.978
Ulcer Index 46.2367.02
📅 Daily Performance
Win Rate % 51.5%48.2%
Positive Days 176165
Negative Days 166177
Best Day % +208.81%+99.34%
Worst Day % -47.05%-32.57%
Avg Gain (Up Days) % +5.04%+4.63%
Avg Loss (Down Days) % -4.42%-4.77%
Profit Factor 1.210.90
🔥 Streaks & Patterns
Longest Win Streak days 107
Longest Loss Streak days 86
💹 Trading Metrics
Omega Ratio 1.2080.904
Expectancy % +0.45%-0.24%
Kelly Criterion % 2.00%0.00%
📅 Weekly Performance
Best Week % +49.59%+65.86%
Worst Week % -64.22%-27.08%
Weekly Win Rate % 59.6%50.0%
📆 Monthly Performance
Best Month % +39.61%+65.32%
Worst Month % -70.18%-31.62%
Monthly Win Rate % 61.5%38.5%
🔧 Technical Indicators
RSI (14-period) 60.1625.27
Price vs 50-Day MA % +3.42%-37.86%
Price vs 200-Day MA % +19.59%-40.67%

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).

ACM (ACM) vs PYTH (PYTH): 0.512 (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

ACM: Binance
PYTH: Kraken
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