PYTH PYTH / BAT Crypto vs COMP COMP / USD Crypto

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

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Asset PYTH / BATCOMP / USD
📈 Performance Metrics
Start Price 2.0053.38
End Price 0.4731.61
Price Change % -76.55%-40.78%
Period High 2.00120.50
Period Low 0.4331.29
Price Range % 365.1%285.1%
🏆 All-Time Records
All-Time High 2.00120.50
Days Since ATH 343 days329 days
Distance From ATH % -76.6%-73.8%
All-Time Low 0.4331.29
Distance From ATL % +9.1%+1.0%
New ATHs Hit 0 times7 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.04%3.92%
Biggest Jump (1 Day) % +0.68+32.94
Biggest Drop (1 Day) % -0.50-20.85
Days Above Avg % 43.6%29.4%
Extreme Moves days 5 (1.5%)19 (5.5%)
Stability Score % 0.0%90.1%
Trend Strength % 54.5%50.1%
Recent Momentum (10-day) % +1.71%-4.40%
📊 Statistical Measures
Average Price 1.0653.03
Median Price 1.0446.00
Price Std Deviation 0.2917.73
🚀 Returns & Growth
CAGR % -78.63%-42.74%
Annualized Return % -78.63%-42.74%
Total Return % -76.55%-40.78%
⚠️ Risk & Volatility
Daily Volatility % 6.67%5.26%
Annualized Volatility % 127.42%100.55%
Max Drawdown % -78.50%-74.03%
Sharpe Ratio -0.034-0.003
Sortino Ratio -0.044-0.004
Calmar Ratio -1.002-0.577
Ulcer Index 49.1857.24
📅 Daily Performance
Win Rate % 45.3%49.7%
Positive Days 155170
Negative Days 187172
Best Day % +88.25%+37.62%
Worst Day % -46.76%-17.55%
Avg Gain (Up Days) % +3.16%+3.65%
Avg Loss (Down Days) % -3.03%-3.64%
Profit Factor 0.860.99
🔥 Streaks & Patterns
Longest Win Streak days 69
Longest Loss Streak days 85
💹 Trading Metrics
Omega Ratio 0.8640.990
Expectancy % -0.23%-0.02%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +58.24%+41.75%
Worst Week % -23.78%-24.09%
Weekly Win Rate % 48.1%50.0%
📆 Monthly Performance
Best Month % +61.49%+34.88%
Worst Month % -22.18%-20.81%
Monthly Win Rate % 23.1%38.5%
🔧 Technical Indicators
RSI (14-period) 59.5152.18
Price vs 50-Day MA % -43.80%-19.47%
Price vs 200-Day MA % -47.19%-28.25%

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 COMP (COMP): 0.751 (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
COMP: Kraken
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