ACM ACM / OG Crypto vs PYTH PYTH / OG Crypto

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

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Asset ACM / OGPYTH / OG
📈 Performance Metrics
Start Price 0.340.09
End Price 0.050.01
Price Change % -86.55%-93.24%
Period High 0.360.09
Period Low 0.040.01
Price Range % 929.4%1,665.9%
🏆 All-Time Records
All-Time High 0.360.09
Days Since ATH 334 days331 days
Distance From ATH % -87.5%-93.5%
All-Time Low 0.040.01
Distance From ATL % +28.3%+14.6%
New ATHs Hit 6 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.90%4.06%
Biggest Jump (1 Day) % +0.04+0.01
Biggest Drop (1 Day) % -0.05-0.01
Days Above Avg % 54.7%38.7%
Extreme Moves days 24 (7.0%)10 (2.9%)
Stability Score % 0.0%0.0%
Trend Strength % 50.7%52.5%
Recent Momentum (10-day) % +17.90%+4.58%
📊 Statistical Measures
Average Price 0.190.03
Median Price 0.200.03
Price Std Deviation 0.100.02
🚀 Returns & Growth
CAGR % -88.18%-94.31%
Annualized Return % -88.18%-94.31%
Total Return % -86.55%-93.24%
⚠️ Risk & Volatility
Daily Volatility % 5.33%8.66%
Annualized Volatility % 101.84%165.46%
Max Drawdown % -90.29%-94.34%
Sharpe Ratio -0.083-0.054
Sortino Ratio -0.078-0.065
Calmar Ratio -0.977-1.000
Ulcer Index 55.2367.72
📅 Daily Performance
Win Rate % 49.1%47.5%
Positive Days 168163
Negative Days 174180
Best Day % +30.98%+101.76%
Worst Day % -21.25%-22.36%
Avg Gain (Up Days) % +3.06%+4.82%
Avg Loss (Down Days) % -3.82%-5.25%
Profit Factor 0.770.83
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 0.7730.832
Expectancy % -0.44%-0.46%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +18.38%+69.69%
Worst Week % -41.34%-50.33%
Weekly Win Rate % 48.1%44.2%
📆 Monthly Performance
Best Month % +7.38%+11.80%
Worst Month % -57.31%-38.69%
Monthly Win Rate % 15.4%7.7%
🔧 Technical Indicators
RSI (14-period) 68.5253.56
Price vs 50-Day MA % -1.25%-19.21%
Price vs 200-Day MA % -63.22%-66.96%

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): 0.950 (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

ACM: Binance
PYTH: Kraken
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