LPT LPT / ALGO Crypto vs PYTH PYTH / ALGO 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 LPT / ALGOPYTH / ALGO
📈 Performance Metrics
Start Price 40.611.05
End Price 28.370.50
Price Change % -30.14%-52.27%
Period High 61.421.19
Period Low 20.500.41
Price Range % 199.5%194.6%
🏆 All-Time Records
All-Time High 61.421.19
Days Since ATH 174 days339 days
Distance From ATH % -53.8%-58.0%
All-Time Low 20.500.41
Distance From ATL % +38.4%+23.7%
New ATHs Hit 6 times3 times
📌 Easy-to-Understand Stats
Avg Daily Change % 3.45%2.78%
Biggest Jump (1 Day) % +35.19+0.44
Biggest Drop (1 Day) % -11.70-0.12
Days Above Avg % 30.8%54.7%
Extreme Moves days 6 (1.7%)6 (1.7%)
Stability Score % 71.3%0.0%
Trend Strength % 53.4%55.1%
Recent Momentum (10-day) % -0.78%-3.21%
📊 Statistical Measures
Average Price 29.830.69
Median Price 28.630.70
Price Std Deviation 6.250.16
🚀 Returns & Growth
CAGR % -31.73%-54.48%
Annualized Return % -31.73%-54.48%
Total Return % -30.14%-52.27%
⚠️ Risk & Volatility
Daily Volatility % 8.55%6.35%
Annualized Volatility % 163.31%121.39%
Max Drawdown % -62.81%-66.06%
Sharpe Ratio 0.016-0.010
Sortino Ratio 0.033-0.017
Calmar Ratio -0.505-0.825
Ulcer Index 47.9644.67
📅 Daily Performance
Win Rate % 46.6%44.9%
Positive Days 160154
Negative Days 183189
Best Day % +134.19%+94.89%
Worst Day % -20.13%-15.91%
Avg Gain (Up Days) % +3.64%+3.01%
Avg Loss (Down Days) % -2.92%-2.57%
Profit Factor 1.090.96
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 810
💹 Trading Metrics
Omega Ratio 1.0890.955
Expectancy % +0.14%-0.06%
Kelly Criterion % 1.30%0.00%
📅 Weekly Performance
Best Week % +82.53%+76.23%
Worst Week % -27.84%-17.04%
Weekly Win Rate % 48.1%48.1%
📆 Monthly Performance
Best Month % +113.93%+68.82%
Worst Month % -28.42%-21.88%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 48.6735.96
Price vs 50-Day MA % -2.68%-12.84%
Price vs 200-Day MA % -4.33%-14.95%

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).

LPT (LPT) vs PYTH (PYTH): 0.400 (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

LPT: Kraken
PYTH: Kraken