LIT LIT / PYTH Crypto vs MX MX / PYTH 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset LIT / PYTHMX / PYTH

📈 Performance Metrics

Start Price 2.198.14

End Price 2.0433.15

Price Change % -6.73%+307.28%

Period High 11.7233.15

Period Low 1.877.27

Price Range % 526.5%355.7%

🏆 All-Time Records

All-Time High 11.7233.15

Days Since ATH 292 days1 days

Distance From ATH % -82.6%+0.0%

All-Time Low 1.877.27

Distance From ATL % +9.0%+355.7%

New ATHs Hit 7 times47 times

📌 Easy-to-Understand Stats

Avg Daily Change % 7.78%3.87%

Biggest Jump (1 Day) % +7.11+3.94

Biggest Drop (1 Day) % -7.96-11.95

Days Above Avg % 32.3%48.5%

Extreme Moves days 6 (1.7%)13 (3.8%)

Stability Score % 0.0%69.8%

Trend Strength % 50.4%57.1%

Recent Momentum (10-day) % -5.26%+7.73%

📊 Statistical Measures

Average Price 2.7618.71

Median Price 2.6218.56

Price Std Deviation 0.745.21

🚀 Returns & Growth

CAGR % -7.15%+345.66%

Annualized Return % -7.15%+345.66%

Total Return % -6.73%+307.28%

⚠️ Risk & Volatility

Daily Volatility % 17.33%5.65%

Annualized Volatility % 331.03%108.01%

Max Drawdown % -84.04%-53.46%

Sharpe Ratio 0.0600.104

Sortino Ratio 0.1040.093

Calmar Ratio -0.0856.466

Ulcer Index 70.5419.59

📅 Daily Performance

Win Rate % 49.4%57.3%

Positive Days 169196

Negative Days 173146

Best Day % +181.72%+23.72%

Worst Day % -67.87%-49.79%

Avg Gain (Up Days) % +7.89%+3.98%

Avg Loss (Down Days) % -5.63%-3.95%

Profit Factor 1.371.35

🔥 Streaks & Patterns

Longest Win Streak days 68

Longest Loss Streak days 76

💹 Trading Metrics

Omega Ratio 1.3681.350

Expectancy % +1.05%+0.59%

Kelly Criterion % 2.36%3.76%

📅 Weekly Performance

Best Week % +461.55%+30.30%

Worst Week % -42.10%-40.23%

Weekly Win Rate % 53.8%55.8%

📆 Monthly Performance

Best Month % +34.86%+50.98%

Worst Month % -43.91%-27.33%

Monthly Win Rate % 46.2%76.9%

🔧 Technical Indicators

RSI (14-period) 63.1965.90

Price vs 50-Day MA % -18.06%+31.35%

Price vs 200-Day MA % -25.87%+58.02%

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).

LIT (LIT) vs MX (MX):	0.162 (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

LIT: Kraken
MX: Bybit