PYTH PYTH / MATH Crypto vs ACM ACM / MATH 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 / MATHACM / MATH
📈 Performance Metrics
Start Price 1.535.52
End Price 1.5411.57
Price Change % +0.78%+109.79%
Period High 2.2011.57
Period Low 0.875.16
Price Range % 154.7%124.2%
🏆 All-Time Records
All-Time High 2.2011.57
Days Since ATH 72 days0 days
Distance From ATH % -30.0%+0.0%
All-Time Low 0.875.16
Distance From ATL % +78.4%+124.2%
New ATHs Hit 4 times24 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.05%3.35%
Biggest Jump (1 Day) % +1.08+1.90
Biggest Drop (1 Day) % -0.35-1.72
Days Above Avg % 40.7%43.6%
Extreme Moves days 5 (1.5%)12 (3.5%)
Stability Score % 0.0%35.4%
Trend Strength % 51.6%52.8%
Recent Momentum (10-day) % -6.31%+10.85%
📊 Statistical Measures
Average Price 1.297.60
Median Price 1.197.23
Price Std Deviation 0.261.61
🚀 Returns & Growth
CAGR % +0.83%+120.00%
Annualized Return % +0.83%+120.00%
Total Return % +0.78%+109.79%
⚠️ Risk & Volatility
Daily Volatility % 7.35%4.91%
Annualized Volatility % 140.36%93.74%
Max Drawdown % -46.59%-33.06%
Sharpe Ratio 0.0300.068
Sortino Ratio 0.0420.073
Calmar Ratio 0.0183.630
Ulcer Index 27.5910.96
📅 Daily Performance
Win Rate % 51.6%52.8%
Positive Days 177181
Negative Days 166162
Best Day % +96.29%+29.53%
Worst Day % -25.23%-24.75%
Avg Gain (Up Days) % +4.15%+3.52%
Avg Loss (Down Days) % -3.97%-3.23%
Profit Factor 1.121.22
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.1161.220
Expectancy % +0.22%+0.34%
Kelly Criterion % 1.35%2.95%
📅 Weekly Performance
Best Week % +64.09%+26.25%
Worst Week % -17.96%-16.06%
Weekly Win Rate % 59.6%53.8%
📆 Monthly Performance
Best Month % +60.98%+27.14%
Worst Month % -17.88%-14.32%
Monthly Win Rate % 46.2%69.2%
🔧 Technical Indicators
RSI (14-period) 47.0667.71
Price vs 50-Day MA % -7.57%+14.60%
Price vs 200-Day MA % +17.12%+34.60%

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): 0.437 (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

PYTH: Kraken
ACM: Binance