PYTH PYTH / ACM Crypto vs AURA AURA / ACM 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 / ACMAURA / ACM
📈 Performance Metrics
Start Price 0.260.13
End Price 0.170.10
Price Change % -35.05%-23.89%
Period High 0.290.15
Period Low 0.110.06
Price Range % 172.3%139.5%
🏆 All-Time Records
All-Time High 0.290.15
Days Since ATH 322 days32 days
Distance From ATH % -41.1%-34.8%
All-Time Low 0.110.06
Distance From ATL % +60.4%+56.2%
New ATHs Hit 4 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.46%7.31%
Biggest Jump (1 Day) % +0.12+0.04
Biggest Drop (1 Day) % -0.05-0.02
Days Above Avg % 43.9%54.3%
Extreme Moves days 6 (1.7%)2 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%64.4%
Recent Momentum (10-day) % -6.93%-2.77%
📊 Statistical Measures
Average Price 0.180.11
Median Price 0.180.12
Price Std Deviation 0.040.02
🚀 Returns & Growth
CAGR % -36.82%-89.08%
Annualized Return % -36.82%-89.08%
Total Return % -35.05%-23.89%
⚠️ Risk & Volatility
Daily Volatility % 7.03%12.63%
Annualized Volatility % 134.40%241.37%
Max Drawdown % -63.27%-58.25%
Sharpe Ratio 0.0100.006
Sortino Ratio 0.0150.010
Calmar Ratio -0.582-1.529
Ulcer Index 39.6425.44
📅 Daily Performance
Win Rate % 47.2%35.6%
Positive Days 16216
Negative Days 18129
Best Day % +96.26%+58.62%
Worst Day % -24.42%-16.91%
Avg Gain (Up Days) % +3.95%+11.12%
Avg Loss (Down Days) % -3.40%-6.02%
Profit Factor 1.041.02
🔥 Streaks & Patterns
Longest Win Streak days 73
Longest Loss Streak days 89
💹 Trading Metrics
Omega Ratio 1.0401.020
Expectancy % +0.07%+0.08%
Kelly Criterion % 0.54%0.12%
📅 Weekly Performance
Best Week % +70.10%+62.84%
Worst Week % -20.55%-22.92%
Weekly Win Rate % 50.9%22.2%
📆 Monthly Performance
Best Month % +58.98%+1.75%
Worst Month % -24.69%-51.28%
Monthly Win Rate % 30.8%33.3%
🔧 Technical Indicators
RSI (14-period) 43.1533.79
Price vs 50-Day MA % -5.11%N/A
Price vs 200-Day MA % +8.75%N/A

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 AURA (AURA): 0.404 (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
AURA: Kraken