ACM ACM / PDA Crypto vs MATH MATH / 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 ACM / PDAMATH / USD

📈 Performance Metrics

Start Price 37.590.27

End Price 256.360.06

Price Change % +582.05%-79.21%

Period High 256.360.39

Period Low 29.640.05

Price Range % 764.8%613.0%

🏆 All-Time Records

All-Time High 256.360.39

Days Since ATH 0 days319 days

Distance From ATH % +0.0%-85.5%

All-Time Low 29.640.05

Distance From ATL % +764.8%+3.5%

New ATHs Hit 39 times11 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.52%3.31%

Biggest Jump (1 Day) % +35.04+0.04

Biggest Drop (1 Day) % -37.77-0.04

Days Above Avg % 45.9%33.5%

Extreme Moves days 21 (6.1%)10 (2.9%)

Stability Score % 94.1%0.0%

Trend Strength % 55.1%54.7%

Recent Momentum (10-day) % +11.22%-21.32%

📊 Statistical Measures

Average Price 103.500.15

Median Price 90.170.13

Price Std Deviation 63.690.07

🚀 Returns & Growth

CAGR % +671.44%-81.30%

Annualized Return % +671.44%-81.30%

Total Return % +582.05%-79.21%

⚠️ Risk & Volatility

Daily Volatility % 6.13%4.80%

Annualized Volatility % 117.02%91.61%

Max Drawdown % -28.44%-85.97%

Sharpe Ratio 0.122-0.072

Sortino Ratio 0.137-0.078

Calmar Ratio 23.607-0.946

Ulcer Index 11.4163.05

📅 Daily Performance

Win Rate % 55.1%45.0%

Positive Days 189153

Negative Days 154187

Best Day % +33.66%+35.84%

Worst Day % -18.62%-25.52%

Avg Gain (Up Days) % +4.57%+3.33%

Avg Loss (Down Days) % -3.95%-3.36%

Profit Factor 1.420.81

🔥 Streaks & Patterns

Longest Win Streak days 69

Longest Loss Streak days 48

💹 Trading Metrics

Omega Ratio 1.4200.812

Expectancy % +0.74%-0.35%

Kelly Criterion % 4.12%0.00%

📅 Weekly Performance

Best Week % +43.09%+24.61%

Worst Week % -20.13%-19.41%

Weekly Win Rate % 53.8%44.2%

📆 Monthly Performance

Best Month % +58.87%+19.28%

Worst Month % -13.61%-24.24%

Monthly Win Rate % 84.6%30.8%

🔧 Technical Indicators

RSI (14-period) 61.6029.70

Price vs 50-Day MA % +31.93%-31.82%

Price vs 200-Day MA % +72.90%-46.21%

💰 Volume Analysis

Avg Volume 203,806,6152,364,343

Total Volume 70,109,475,506810,969,739

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 MATH (MATH):	-0.765 (Strong negative)

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
MATH: Coinbase