PYTH PYTH / TRAC Crypto vs APEX APEX / 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 PYTH / TRACAPEX / USD
📈 Performance Metrics
Start Price 0.511.55
End Price 0.160.83
Price Change % -68.03%-46.43%
Period High 0.612.32
Period Low 0.150.15
Price Range % 311.0%1,491.4%
🏆 All-Time Records
All-Time High 0.612.32
Days Since ATH 50 days13 days
Distance From ATH % -73.2%-64.1%
All-Time Low 0.150.15
Distance From ATL % +10.2%+471.4%
New ATHs Hit 4 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.48%4.97%
Biggest Jump (1 Day) % +0.29+1.13
Biggest Drop (1 Day) % -0.15-0.95
Days Above Avg % 55.5%40.9%
Extreme Moves days 9 (2.6%)3 (0.9%)
Stability Score % 0.0%0.0%
Trend Strength % 49.3%57.3%
Recent Momentum (10-day) % -52.78%-54.04%
📊 Statistical Measures
Average Price 0.380.90
Median Price 0.390.80
Price Std Deviation 0.090.61
🚀 Returns & Growth
CAGR % -70.28%-48.43%
Annualized Return % -70.28%-48.43%
Total Return % -68.03%-46.43%
⚠️ Risk & Volatility
Daily Volatility % 7.94%13.99%
Annualized Volatility % 151.74%267.20%
Max Drawdown % -75.67%-92.67%
Sharpe Ratio -0.0070.030
Sortino Ratio -0.0080.061
Calmar Ratio -0.929-0.523
Ulcer Index 37.2763.11
📅 Daily Performance
Win Rate % 50.7%42.6%
Positive Days 174146
Negative Days 169197
Best Day % +97.56%+212.20%
Worst Day % -44.40%-48.07%
Avg Gain (Up Days) % +4.35%+7.09%
Avg Loss (Down Days) % -4.59%-4.52%
Profit Factor 0.981.16
🔥 Streaks & Patterns
Longest Win Streak days 612
Longest Loss Streak days 49
💹 Trading Metrics
Omega Ratio 0.9761.163
Expectancy % -0.05%+0.42%
Kelly Criterion % 0.00%1.32%
📅 Weekly Performance
Best Week % +84.84%+750.65%
Worst Week % -20.11%-28.12%
Weekly Win Rate % 53.8%42.3%
📆 Monthly Performance
Best Month % +112.15%+570.16%
Worst Month % -27.31%-68.94%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 21.5825.82
Price vs 50-Day MA % -58.38%-3.58%
Price vs 200-Day MA % -52.15%+61.28%
💰 Volume Analysis
Avg Volume 4,399,86524,028,909
Total Volume 1,513,553,7278,289,973,567

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).

PYTH (PYTH) vs APEX (APEX): 0.560 (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

PYTH: Kraken
APEX: Bybit