PYTH PYTH / INV Crypto vs CORE CORE / 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 / INVCORE / USD
📈 Performance Metrics
Start Price 0.020.90
End Price 0.000.20
Price Change % -81.58%-78.35%
Period High 0.021.97
Period Low 0.000.19
Price Range % 696.3%934.7%
🏆 All-Time Records
All-Time High 0.021.97
Days Since ATH 339 days321 days
Distance From ATH % -82.2%-90.1%
All-Time Low 0.000.19
Distance From ATL % +41.8%+2.5%
New ATHs Hit 2 times6 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.01%4.26%
Biggest Jump (1 Day) % +0.00+0.51
Biggest Drop (1 Day) % 0.00-0.37
Days Above Avg % 35.4%37.1%
Extreme Moves days 8 (2.3%)15 (4.4%)
Stability Score % 0.0%0.0%
Trend Strength % 51.9%53.2%
Recent Momentum (10-day) % -4.62%-37.37%
📊 Statistical Measures
Average Price 0.010.67
Median Price 0.000.55
Price Std Deviation 0.000.30
🚀 Returns & Growth
CAGR % -83.65%-80.28%
Annualized Return % -83.65%-80.28%
Total Return % -81.58%-78.35%
⚠️ Risk & Volatility
Daily Volatility % 8.70%5.96%
Annualized Volatility % 166.26%113.89%
Max Drawdown % -87.44%-90.34%
Sharpe Ratio -0.020-0.043
Sortino Ratio -0.025-0.043
Calmar Ratio -0.957-0.889
Ulcer Index 68.1866.29
📅 Daily Performance
Win Rate % 48.1%46.6%
Positive Days 164160
Negative Days 177183
Best Day % +103.80%+34.95%
Worst Day % -28.37%-41.72%
Avg Gain (Up Days) % +5.21%+3.92%
Avg Loss (Down Days) % -5.16%-3.91%
Profit Factor 0.940.88
🔥 Streaks & Patterns
Longest Win Streak days 65
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 0.9360.875
Expectancy % -0.17%-0.26%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +57.22%+51.65%
Worst Week % -33.25%-23.75%
Weekly Win Rate % 53.8%53.8%
📆 Monthly Performance
Best Month % +32.55%+118.66%
Worst Month % -46.94%-42.19%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 38.6419.59
Price vs 50-Day MA % -11.15%-49.88%
Price vs 200-Day MA % -25.64%-64.39%

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): 0.773 (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
CORE: Bybit