PYTH PYTH / APT Crypto vs CORE CORE / APT 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 / APTCORE / APT
📈 Performance Metrics
Start Price 0.040.11
End Price 0.040.07
Price Change % +10.77%-32.34%
Period High 0.050.16
Period Low 0.020.05
Price Range % 175.2%205.8%
🏆 All-Time Records
All-Time High 0.050.16
Days Since ATH 78 days177 days
Distance From ATH % -24.3%-55.1%
All-Time Low 0.020.05
Distance From ATL % +108.4%+37.3%
New ATHs Hit 10 times16 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.88%2.89%
Biggest Jump (1 Day) % +0.03+0.02
Biggest Drop (1 Day) % -0.01-0.01
Days Above Avg % 48.0%48.0%
Extreme Moves days 5 (1.5%)25 (7.3%)
Stability Score % 0.0%0.0%
Trend Strength % 46.6%51.9%
Recent Momentum (10-day) % +16.88%+6.74%
📊 Statistical Measures
Average Price 0.030.10
Median Price 0.030.10
Price Std Deviation 0.010.02
🚀 Returns & Growth
CAGR % +11.50%-34.02%
Annualized Return % +11.50%-34.02%
Total Return % +10.77%-32.34%
⚠️ Risk & Volatility
Daily Volatility % 6.39%4.12%
Annualized Volatility % 122.14%78.73%
Max Drawdown % -55.45%-67.30%
Sharpe Ratio 0.029-0.007
Sortino Ratio 0.054-0.008
Calmar Ratio 0.207-0.505
Ulcer Index 32.1433.33
📅 Daily Performance
Win Rate % 46.6%48.1%
Positive Days 160165
Negative Days 183178
Best Day % +94.78%+16.06%
Worst Day % -12.24%-17.93%
Avg Gain (Up Days) % +3.28%+3.04%
Avg Loss (Down Days) % -2.53%-2.88%
Profit Factor 1.140.98
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 138
💹 Trading Metrics
Omega Ratio 1.1360.980
Expectancy % +0.18%-0.03%
Kelly Criterion % 2.22%0.00%
📅 Weekly Performance
Best Week % +65.98%+33.04%
Worst Week % -17.51%-17.16%
Weekly Win Rate % 51.9%50.0%
📆 Monthly Performance
Best Month % +64.93%+62.09%
Worst Month % -18.14%-28.12%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 82.1466.59
Price vs 50-Day MA % +17.54%+4.71%
Price vs 200-Day MA % +33.15%-32.40%
💰 Volume Analysis
Avg Volume 411,632322,390
Total Volume 141,601,324110,902,122

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 CORE (CORE): -0.287 (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

PYTH: Kraken
CORE: Bybit