PYTH PYTH / INDEX Crypto vs LCX LCX / 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 / INDEXLCX / USD
📈 Performance Metrics
Start Price 0.140.10
End Price 0.120.10
Price Change % -10.72%-3.52%
Period High 0.190.40
Period Low 0.080.09
Price Range % 149.2%339.4%
🏆 All-Time Records
All-Time High 0.190.40
Days Since ATH 50 days314 days
Distance From ATH % -35.8%-75.0%
All-Time Low 0.080.09
Distance From ATL % +59.9%+9.8%
New ATHs Hit 6 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.79%4.89%
Biggest Jump (1 Day) % +0.10+0.11
Biggest Drop (1 Day) % -0.03-0.07
Days Above Avg % 38.8%31.4%
Extreme Moves days 8 (2.3%)20 (5.8%)
Stability Score % 0.0%0.0%
Trend Strength % 50.3%55.1%
Recent Momentum (10-day) % -14.71%-26.92%
📊 Statistical Measures
Average Price 0.110.17
Median Price 0.100.14
Price Std Deviation 0.020.06
🚀 Returns & Growth
CAGR % -11.39%-3.74%
Annualized Return % -11.39%-3.74%
Total Return % -10.72%-3.52%
⚠️ Risk & Volatility
Daily Volatility % 8.57%6.85%
Annualized Volatility % 163.67%130.86%
Max Drawdown % -49.42%-77.23%
Sharpe Ratio 0.0310.031
Sortino Ratio 0.0420.040
Calmar Ratio -0.231-0.048
Ulcer Index 32.3457.90
📅 Daily Performance
Win Rate % 49.7%44.9%
Positive Days 170154
Negative Days 172189
Best Day % +109.39%+45.06%
Worst Day % -25.78%-20.68%
Avg Gain (Up Days) % +5.09%+5.45%
Avg Loss (Down Days) % -4.50%-4.06%
Profit Factor 1.121.09
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 67
💹 Trading Metrics
Omega Ratio 1.1181.094
Expectancy % +0.27%+0.21%
Kelly Criterion % 1.16%0.95%
📅 Weekly Performance
Best Week % +65.86%+79.69%
Worst Week % -31.91%-22.19%
Weekly Win Rate % 55.8%38.5%
📆 Monthly Performance
Best Month % +79.83%+183.10%
Worst Month % -27.90%-31.10%
Monthly Win Rate % 46.2%23.1%
🔧 Technical Indicators
RSI (14-period) 40.0723.40
Price vs 50-Day MA % -11.49%-26.55%
Price vs 200-Day MA % +13.16%-24.36%
💰 Volume Analysis
Avg Volume 1,366,592773,388
Total Volume 468,741,217266,045,560

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 LCX (LCX): 0.140 (Weak)

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
LCX: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures