PYTH PYTH / USD Crypto vs AEVO AEVO / 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 / USDAEVO / USD
📈 Performance Metrics
Start Price 0.380.38
End Price 0.060.04
Price Change % -84.85%-90.45%
Period High 0.400.41
Period Low 0.050.03
Price Range % 633.0%1,104.1%
🏆 All-Time Records
All-Time High 0.400.41
Days Since ATH 326 days328 days
Distance From ATH % -85.4%-91.0%
All-Time Low 0.050.03
Distance From ATL % +6.9%+8.0%
New ATHs Hit 3 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.51%4.83%
Biggest Jump (1 Day) % +0.11+0.03
Biggest Drop (1 Day) % -0.05-0.05
Days Above Avg % 33.4%25.6%
Extreme Moves days 6 (1.7%)17 (5.0%)
Stability Score % 0.0%0.0%
Trend Strength % 53.4%52.2%
Recent Momentum (10-day) % -14.16%-12.19%
📊 Statistical Measures
Average Price 0.160.13
Median Price 0.140.10
Price Std Deviation 0.080.08
🚀 Returns & Growth
CAGR % -86.57%-91.78%
Annualized Return % -86.57%-91.78%
Total Return % -84.85%-90.45%
⚠️ Risk & Volatility
Daily Volatility % 7.91%6.67%
Annualized Volatility % 151.07%127.41%
Max Drawdown % -86.36%-91.70%
Sharpe Ratio -0.036-0.067
Sortino Ratio -0.048-0.064
Calmar Ratio -1.002-1.001
Ulcer Index 62.6271.26
📅 Daily Performance
Win Rate % 46.6%47.2%
Positive Days 160160
Negative Days 183179
Best Day % +99.34%+30.23%
Worst Day % -32.57%-43.19%
Avg Gain (Up Days) % +4.62%+4.61%
Avg Loss (Down Days) % -4.58%-4.98%
Profit Factor 0.880.83
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 0.8820.827
Expectancy % -0.29%-0.45%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +65.86%+44.38%
Worst Week % -23.21%-28.73%
Weekly Win Rate % 46.2%46.2%
📆 Monthly Performance
Best Month % +65.32%+30.35%
Worst Month % -32.91%-34.27%
Monthly Win Rate % 30.8%23.1%
🔧 Technical Indicators
RSI (14-period) 32.7930.02
Price vs 50-Day MA % -26.94%-24.56%
Price vs 200-Day MA % -51.46%-58.21%

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 AEVO (AEVO): 0.970 (Strong 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
AEVO: Kraken