LIT LIT / SPK Crypto vs PYTH PYTH / SPK 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 / SPKPYTH / SPK
📈 Performance Metrics
Start Price 7.622.30
End Price 7.562.87
Price Change % -0.85%+24.90%
Period High 18.673.89
Period Low 2.390.74
Price Range % 680.6%426.3%
🏆 All-Time Records
All-Time High 18.673.89
Days Since ATH 2 days124 days
Distance From ATH % -59.5%-26.2%
All-Time Low 2.390.74
Distance From ATL % +216.0%+288.7%
New ATHs Hit 12 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 8.27%5.73%
Biggest Jump (1 Day) % +12.41+1.92
Biggest Drop (1 Day) % -11.05-1.37
Days Above Avg % 54.0%64.0%
Extreme Moves days 4 (2.7%)5 (3.4%)
Stability Score % 0.0%0.0%
Trend Strength % 41.6%60.4%
Recent Momentum (10-day) % +20.33%+5.79%
📊 Statistical Measures
Average Price 6.752.48
Median Price 6.882.64
Price Std Deviation 1.780.75
🚀 Returns & Growth
CAGR % -2.08%+72.40%
Annualized Return % -2.08%+72.40%
Total Return % -0.85%+24.90%
⚠️ Risk & Volatility
Daily Volatility % 19.62%13.08%
Annualized Volatility % 374.87%249.84%
Max Drawdown % -75.90%-81.00%
Sharpe Ratio 0.0690.071
Sortino Ratio 0.0980.078
Calmar Ratio -0.0270.894
Ulcer Index 35.5539.19
📅 Daily Performance
Win Rate % 58.4%60.8%
Positive Days 8790
Negative Days 6258
Best Day % +198.20%+103.53%
Worst Day % -59.17%-55.27%
Avg Gain (Up Days) % +8.15%+6.08%
Avg Loss (Down Days) % -8.20%-7.04%
Profit Factor 1.391.34
🔥 Streaks & Patterns
Longest Win Streak days 108
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3941.340
Expectancy % +1.34%+0.94%
Kelly Criterion % 2.01%2.19%
📅 Weekly Performance
Best Week % +34.93%+116.56%
Worst Week % -23.91%-39.18%
Weekly Win Rate % 66.7%66.7%
📆 Monthly Performance
Best Month % +83.81%+160.85%
Worst Month % -49.58%-55.73%
Monthly Win Rate % 57.1%71.4%
🔧 Technical Indicators
RSI (14-period) 70.8176.81
Price vs 50-Day MA % +7.27%+3.32%

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): 0.740 (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

LIT: Kraken
PYTH: Kraken
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