LCX LCX / GSWIFT Crypto vs PYTH PYTH / USD 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 LCX / GSWIFTPYTH / USD
📈 Performance Metrics
Start Price 2.270.43
End Price 56.900.11
Price Change % +2,410.86%-75.19%
Period High 56.900.53
Period Low 1.920.09
Price Range % 2,867.5%518.7%
🏆 All-Time Records
All-Time High 56.900.53
Days Since ATH 0 days320 days
Distance From ATH % +0.0%-80.0%
All-Time Low 1.920.09
Distance From ATL % +2,867.5%+23.6%
New ATHs Hit 45 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.10%4.43%
Biggest Jump (1 Day) % +11.43+0.11
Biggest Drop (1 Day) % -3.35-0.09
Days Above Avg % 40.5%30.2%
Extreme Moves days 24 (7.1%)7 (2.0%)
Stability Score % 33.3%0.0%
Trend Strength % 52.9%50.1%
Recent Momentum (10-day) % +45.91%-36.17%
📊 Statistical Measures
Average Price 12.620.21
Median Price 10.930.15
Price Std Deviation 8.890.12
🚀 Returns & Growth
CAGR % +3,082.38%-77.31%
Annualized Return % +3,082.38%-77.31%
Total Return % +2,410.86%-75.19%
⚠️ Risk & Volatility
Daily Volatility % 8.42%8.00%
Annualized Volatility % 160.84%152.82%
Max Drawdown % -50.58%-83.84%
Sharpe Ratio 0.153-0.017
Sortino Ratio 0.192-0.021
Calmar Ratio 60.936-0.922
Ulcer Index 19.4164.71
📅 Daily Performance
Win Rate % 52.9%49.7%
Positive Days 180170
Negative Days 160172
Best Day % +42.67%+99.34%
Worst Day % -28.87%-32.57%
Avg Gain (Up Days) % +6.62%+4.54%
Avg Loss (Down Days) % -4.71%-4.76%
Profit Factor 1.580.94
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.5830.943
Expectancy % +1.29%-0.14%
Kelly Criterion % 4.14%0.00%
📅 Weekly Performance
Best Week % +61.26%+65.86%
Worst Week % -16.80%-27.08%
Weekly Win Rate % 57.7%50.9%
📆 Monthly Performance
Best Month % +119.50%+65.32%
Worst Month % -17.74%-31.62%
Monthly Win Rate % 84.6%38.5%
🔧 Technical Indicators
RSI (14-period) 81.9233.61
Price vs 50-Day MA % +99.65%-29.29%
Price vs 200-Day MA % +222.10%-21.16%

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).

LCX (LCX) vs PYTH (PYTH): -0.632 (Moderate negative)

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

LCX: Kraken
PYTH: Kraken