PYTH PYTH / APEX Crypto vs ATM ATM / APEX 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 / APEXATM / APEX
📈 Performance Metrics
Start Price 0.261.21
End Price 0.131.88
Price Change % -50.50%+54.91%
Period High 0.786.58
Period Low 0.070.60
Price Range % 1,005.9%1,004.5%
🏆 All-Time Records
All-Time High 0.786.58
Days Since ATH 87 days155 days
Distance From ATH % -83.5%-71.5%
All-Time Low 0.070.60
Distance From ATL % +82.5%+215.2%
New ATHs Hit 14 times30 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.44%5.92%
Biggest Jump (1 Day) % +0.40+1.43
Biggest Drop (1 Day) % -0.21-1.83
Days Above Avg % 39.8%38.4%
Extreme Moves days 7 (2.0%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 49.0%52.8%
Recent Momentum (10-day) % +5.57%+16.48%
📊 Statistical Measures
Average Price 0.302.70
Median Price 0.211.49
Price Std Deviation 0.181.82
🚀 Returns & Growth
CAGR % -52.68%+59.32%
Annualized Return % -52.68%+59.32%
Total Return % -50.50%+54.91%
⚠️ Risk & Volatility
Daily Volatility % 10.00%8.79%
Annualized Volatility % 191.05%167.91%
Max Drawdown % -90.96%-90.95%
Sharpe Ratio 0.0280.065
Sortino Ratio 0.0330.064
Calmar Ratio -0.5790.652
Ulcer Index 43.0338.27
📅 Daily Performance
Win Rate % 51.0%52.8%
Positive Days 175181
Negative Days 168162
Best Day % +107.95%+45.62%
Worst Day % -65.90%-66.32%
Avg Gain (Up Days) % +5.51%+5.67%
Avg Loss (Down Days) % -5.17%-5.13%
Profit Factor 1.111.24
🔥 Streaks & Patterns
Longest Win Streak days 68
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 1.1111.235
Expectancy % +0.28%+0.57%
Kelly Criterion % 0.98%1.96%
📅 Weekly Performance
Best Week % +111.52%+36.96%
Worst Week % -88.05%-88.31%
Weekly Win Rate % 40.4%55.8%
📆 Monthly Performance
Best Month % +151.38%+214.72%
Worst Month % -86.43%-83.00%
Monthly Win Rate % 53.8%61.5%
🔧 Technical Indicators
RSI (14-period) 57.0674.83
Price vs 50-Day MA % +12.37%+40.09%
Price vs 200-Day MA % -66.48%-48.99%

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 ATM (ATM): 0.926 (Strong 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
ATM: Binance