LIT LIT / MCDX Crypto vs PYTH PYTH / MCDX Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset LIT / MCDXPYTH / MCDX
📈 Performance Metrics
Start Price 0.000.00
End Price 0.000.00
Price Change % +41.44%-33.48%
Period High 0.000.00
Period Low 0.000.00
Price Range % 271.9%235.5%
🏆 All-Time Records
All-Time High 0.000.00
Days Since ATH 98 days79 days
Distance From ATH % -32.6%-69.4%
All-Time Low 0.000.00
Distance From ATL % +150.6%+2.6%
New ATHs Hit 11 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.35%5.10%
Biggest Jump (1 Day) % +0.00+0.00
Biggest Drop (1 Day) % 0.000.00
Days Above Avg % 63.4%46.6%
Extreme Moves days 1 (0.8%)3 (2.3%)
Stability Score % 0.0%0.0%
Trend Strength % 50.8%56.2%
Recent Momentum (10-day) % +16.09%-8.05%
📊 Statistical Measures
Average Price 0.000.00
Median Price 0.000.00
Price Std Deviation 0.000.00
🚀 Returns & Growth
CAGR % +164.72%-68.16%
Annualized Return % +164.72%-68.16%
Total Return % +41.44%-33.48%
⚠️ Risk & Volatility
Daily Volatility % 17.91%10.52%
Annualized Volatility % 342.22%200.99%
Max Drawdown % -73.11%-70.19%
Sharpe Ratio 0.0640.011
Sortino Ratio 0.1540.017
Calmar Ratio 2.253-0.971
Ulcer Index 39.5538.46
📅 Daily Performance
Win Rate % 51.2%43.4%
Positive Days 6656
Negative Days 6373
Best Day % +188.93%+97.62%
Worst Day % -32.18%-33.69%
Avg Gain (Up Days) % +7.07%+5.98%
Avg Loss (Down Days) % -5.03%-4.39%
Profit Factor 1.471.05
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 57
💹 Trading Metrics
Omega Ratio 1.4741.046
Expectancy % +1.16%+0.11%
Kelly Criterion % 3.27%0.44%
📅 Weekly Performance
Best Week % +90.22%+67.14%
Worst Week % -14.61%-21.14%
Weekly Win Rate % 60.0%60.0%
📆 Monthly Performance
Best Month % +90.22%+62.07%
Worst Month % -12.90%-35.42%
Monthly Win Rate % 66.7%66.7%
🔧 Technical Indicators
RSI (14-period) 79.9348.05
Price vs 50-Day MA % +53.12%-34.50%

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 PYTH (PYTH): 0.658 (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

LIT: Kraken
PYTH: Kraken
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