LIT LIT / PYTH Crypto vs VIRTUAL VIRTUAL / 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

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset LIT / PYTHVIRTUAL / PYTH
📈 Performance Metrics
Start Price 2.386.51
End Price 2.6312.30
Price Change % +10.40%+88.98%
Period High 11.7217.82
Period Low 1.873.68
Price Range % 526.5%383.8%
🏆 All-Time Records
All-Time High 11.7217.82
Days Since ATH 287 days146 days
Distance From ATH % -77.6%-31.0%
All-Time Low 1.873.68
Distance From ATL % +40.5%+233.8%
New ATHs Hit 7 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 7.75%3.99%
Biggest Jump (1 Day) % +7.11+9.85
Biggest Drop (1 Day) % -7.96-4.75
Days Above Avg % 31.7%55.4%
Extreme Moves days 6 (1.7%)5 (1.8%)
Stability Score % 0.0%0.0%
Trend Strength % 49.6%46.2%
Recent Momentum (10-day) % +13.28%+0.76%
📊 Statistical Measures
Average Price 2.7610.01
Median Price 2.6210.41
Price Std Deviation 0.744.31
🚀 Returns & Growth
CAGR % +11.10%+131.32%
Annualized Return % +11.10%+131.32%
Total Return % +10.40%+88.98%
⚠️ Risk & Volatility
Daily Volatility % 17.30%10.59%
Annualized Volatility % 330.61%202.27%
Max Drawdown % -84.04%-70.59%
Sharpe Ratio 0.0630.060
Sortino Ratio 0.1100.107
Calmar Ratio 0.1321.860
Ulcer Index 69.8234.22
📅 Daily Performance
Win Rate % 49.6%46.2%
Positive Days 170128
Negative Days 173149
Best Day % +181.72%+141.83%
Worst Day % -67.87%-47.37%
Avg Gain (Up Days) % +7.88%+5.41%
Avg Loss (Down Days) % -5.58%-3.46%
Profit Factor 1.391.34
🔥 Streaks & Patterns
Longest Win Streak days 614
Longest Loss Streak days 710
💹 Trading Metrics
Omega Ratio 1.3871.342
Expectancy % +1.09%+0.64%
Kelly Criterion % 2.48%3.41%
📅 Weekly Performance
Best Week % +461.55%+70.97%
Worst Week % -42.10%-40.18%
Weekly Win Rate % 52.8%31.0%
📆 Monthly Performance
Best Month % +34.86%+151.82%
Worst Month % -43.91%-44.86%
Monthly Win Rate % 46.2%36.4%
🔧 Technical Indicators
RSI (14-period) 68.0253.73
Price vs 50-Day MA % +3.15%+6.00%
Price vs 200-Day MA % -4.89%+2.31%
💰 Volume Analysis
Avg Volume 601,6004,786,457
Total Volume 206,348,6831,330,635,043

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 VIRTUAL (VIRTUAL): 0.034 (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
VIRTUAL: Kraken