APEX APEX / PYTH Crypto vs LCX LCX / 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 APEX / PYTHLCX / USD
📈 Performance Metrics
Start Price 3.910.09
End Price 12.220.13
Price Change % +212.76%+46.68%
Period High 14.240.40
Period Low 1.290.09
Price Range % 1,005.9%360.1%
🏆 All-Time Records
All-Time High 14.240.40
Days Since ATH 11 days305 days
Distance From ATH % -14.1%-66.7%
All-Time Low 1.290.09
Distance From ATL % +849.5%+53.2%
New ATHs Hit 18 times14 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.45%4.87%
Biggest Jump (1 Day) % +7.34+0.11
Biggest Drop (1 Day) % -2.36-0.07
Days Above Avg % 48.0%31.6%
Extreme Moves days 5 (1.5%)20 (5.9%)
Stability Score % 0.0%0.0%
Trend Strength % 49.3%45.2%
Recent Momentum (10-day) % +91.26%-2.60%
📊 Statistical Measures
Average Price 4.130.17
Median Price 4.070.14
Price Std Deviation 2.340.06
🚀 Returns & Growth
CAGR % +238.90%+50.69%
Annualized Return % +238.90%+50.69%
Total Return % +212.76%+46.68%
⚠️ Risk & Volatility
Daily Volatility % 13.10%6.83%
Annualized Volatility % 250.34%130.55%
Max Drawdown % -82.85%-75.92%
Sharpe Ratio 0.0690.048
Sortino Ratio 0.1260.066
Calmar Ratio 2.8830.668
Ulcer Index 48.6356.76
📅 Daily Performance
Win Rate % 49.3%45.2%
Positive Days 168154
Negative Days 173187
Best Day % +193.23%+45.06%
Worst Day % -51.91%-16.98%
Avg Gain (Up Days) % +6.51%+5.54%
Avg Loss (Down Days) % -4.54%-3.96%
Profit Factor 1.391.15
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 1.3921.152
Expectancy % +0.90%+0.33%
Kelly Criterion % 3.06%1.51%
📅 Weekly Performance
Best Week % +736.83%+79.69%
Worst Week % -52.72%-22.19%
Weekly Win Rate % 58.8%37.3%
📆 Monthly Performance
Best Month % +636.69%+222.95%
Worst Month % -60.22%-31.10%
Monthly Win Rate % 50.0%25.0%
🔧 Technical Indicators
RSI (14-period) 84.5649.11
Price vs 50-Day MA % +154.20%-8.91%
Price vs 200-Day MA % +237.59%-1.14%
💰 Volume Analysis
Avg Volume 136,324,860774,457
Total Volume 46,623,102,053264,864,149

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).

APEX (APEX) vs LCX (LCX): 0.140 (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

APEX: Bybit
LCX: Kraken