PYTH PYTH / PYR Crypto vs ACM ACM / PYR 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 / PYRACM / PYR
📈 Performance Metrics
Start Price 0.120.44
End Price 0.120.92
Price Change % +1.43%+108.69%
Period High 0.221.16
Period Low 0.090.43
Price Range % 145.6%171.4%
🏆 All-Time Records
All-Time High 0.221.16
Days Since ATH 69 days22 days
Distance From ATH % -44.7%-20.8%
All-Time Low 0.090.43
Distance From ATL % +35.8%+115.0%
New ATHs Hit 8 times32 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.35%3.67%
Biggest Jump (1 Day) % +0.11+0.21
Biggest Drop (1 Day) % -0.10-0.51
Days Above Avg % 30.7%54.7%
Extreme Moves days 8 (2.3%)14 (4.1%)
Stability Score % 0.0%0.0%
Trend Strength % 51.0%50.7%
Recent Momentum (10-day) % -9.67%+5.29%
📊 Statistical Measures
Average Price 0.120.73
Median Price 0.120.77
Price Std Deviation 0.020.17
🚀 Returns & Growth
CAGR % +1.53%+119.78%
Annualized Return % +1.53%+119.78%
Total Return % +1.43%+108.69%
⚠️ Risk & Volatility
Daily Volatility % 7.39%5.81%
Annualized Volatility % 141.22%110.93%
Max Drawdown % -59.28%-52.56%
Sharpe Ratio 0.0330.068
Sortino Ratio 0.0430.072
Calmar Ratio 0.0262.279
Ulcer Index 23.3213.01
📅 Daily Performance
Win Rate % 51.0%50.7%
Positive Days 174173
Negative Days 167168
Best Day % +96.42%+32.35%
Worst Day % -51.57%-47.98%
Avg Gain (Up Days) % +3.42%+3.91%
Avg Loss (Down Days) % -3.07%-3.22%
Profit Factor 1.161.25
🔥 Streaks & Patterns
Longest Win Streak days 59
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.1641.249
Expectancy % +0.25%+0.40%
Kelly Criterion % 2.34%3.13%
📅 Weekly Performance
Best Week % +60.60%+27.40%
Worst Week % -30.03%-31.13%
Weekly Win Rate % 55.8%50.0%
📆 Monthly Performance
Best Month % +52.70%+25.57%
Worst Month % -31.08%-11.11%
Monthly Win Rate % 53.8%69.2%
🔧 Technical Indicators
RSI (14-period) 43.9357.79
Price vs 50-Day MA % -15.96%+4.47%
Price vs 200-Day MA % -4.09%+8.68%

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): 0.451 (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