PYTH PYTH / ALEPH Crypto vs AURORA AURORA / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / ALEPHAURORA / USD
📈 Performance Metrics
Start Price 2.500.14
End Price 2.100.07
Price Change % -16.04%-46.33%
Period High 3.220.31
Period Low 1.310.06
Price Range % 145.3%382.2%
🏆 All-Time Records
All-Time High 3.220.31
Days Since ATH 48 days316 days
Distance From ATH % -34.9%-76.1%
All-Time Low 1.310.06
Distance From ATL % +59.8%+15.3%
New ATHs Hit 14 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.71%4.54%
Biggest Jump (1 Day) % +1.64+0.10
Biggest Drop (1 Day) % -1.12-0.05
Days Above Avg % 54.4%31.8%
Extreme Moves days 7 (2.1%)12 (3.5%)
Stability Score % 0.0%0.0%
Trend Strength % 49.0%56.4%
Recent Momentum (10-day) % -6.62%+1.87%
📊 Statistical Measures
Average Price 2.240.12
Median Price 2.280.09
Price Std Deviation 0.410.06
🚀 Returns & Growth
CAGR % -17.07%-48.53%
Annualized Return % -17.07%-48.53%
Total Return % -16.04%-46.33%
⚠️ Risk & Volatility
Daily Volatility % 8.42%6.96%
Annualized Volatility % 160.96%132.96%
Max Drawdown % -57.57%-79.26%
Sharpe Ratio 0.0290.005
Sortino Ratio 0.0380.007
Calmar Ratio -0.296-0.612
Ulcer Index 30.4364.07
📅 Daily Performance
Win Rate % 51.0%42.0%
Positive Days 174140
Negative Days 167193
Best Day % +104.36%+63.92%
Worst Day % -34.66%-19.72%
Avg Gain (Up Days) % +4.93%+4.97%
Avg Loss (Down Days) % -4.64%-3.55%
Profit Factor 1.111.02
🔥 Streaks & Patterns
Longest Win Streak days 64
Longest Loss Streak days 117
💹 Trading Metrics
Omega Ratio 1.1081.016
Expectancy % +0.25%+0.03%
Kelly Criterion % 1.07%0.18%
📅 Weekly Performance
Best Week % +60.52%+40.26%
Worst Week % -21.13%-21.11%
Weekly Win Rate % 53.8%42.3%
📆 Monthly Performance
Best Month % +88.18%+69.78%
Worst Month % -23.68%-27.84%
Monthly Win Rate % 46.2%30.8%
🔧 Technical Indicators
RSI (14-period) 46.0748.73
Price vs 50-Day MA % -3.77%-4.59%
Price vs 200-Day MA % +3.86%-7.03%

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 AURORA (AURORA): 0.616 (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
AURORA: Coinbase