PYTH PYTH / RENDER 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 / RENDERCORE / USD
📈 Performance Metrics
Start Price 0.080.78
End Price 0.050.21
Price Change % -38.27%-73.32%
Period High 0.081.97
Period Low 0.030.21
Price Range % 209.7%846.2%
🏆 All-Time Records
All-Time High 0.081.97
Days Since ATH 339 days318 days
Distance From ATH % -42.8%-89.4%
All-Time Low 0.030.21
Distance From ATL % +77.2%+0.0%
New ATHs Hit 4 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.81%4.27%
Biggest Jump (1 Day) % +0.03+0.51
Biggest Drop (1 Day) % -0.01-0.37
Days Above Avg % 53.8%37.4%
Extreme Moves days 5 (1.5%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 55.4%53.2%
Recent Momentum (10-day) % +7.72%-20.96%
📊 Statistical Measures
Average Price 0.040.68
Median Price 0.040.55
Price Std Deviation 0.010.29
🚀 Returns & Growth
CAGR % -40.15%-75.39%
Annualized Return % -40.15%-75.39%
Total Return % -38.27%-73.32%
⚠️ Risk & Volatility
Daily Volatility % 6.22%5.96%
Annualized Volatility % 118.84%113.94%
Max Drawdown % -67.71%-89.43%
Sharpe Ratio 0.001-0.033
Sortino Ratio 0.001-0.033
Calmar Ratio -0.593-0.843
Ulcer Index 50.1265.75
📅 Daily Performance
Win Rate % 44.6%46.6%
Positive Days 153160
Negative Days 190183
Best Day % +94.01%+34.95%
Worst Day % -16.37%-41.72%
Avg Gain (Up Days) % +3.07%+3.97%
Avg Loss (Down Days) % -2.46%-3.85%
Profit Factor 1.000.90
🔥 Streaks & Patterns
Longest Win Streak days 55
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.0040.903
Expectancy % +0.01%-0.20%
Kelly Criterion % 0.07%0.00%
📅 Weekly Performance
Best Week % +64.65%+51.65%
Worst Week % -15.69%-23.75%
Weekly Win Rate % 48.1%53.8%
📆 Monthly Performance
Best Month % +70.45%+152.40%
Worst Month % -26.55%-42.19%
Monthly Win Rate % 38.5%30.8%
🔧 Technical Indicators
RSI (14-period) 68.6520.42
Price vs 50-Day MA % +4.61%-48.46%
Price vs 200-Day MA % +31.35%-62.29%
💰 Volume Analysis
Avg Volume 458,1991,674,737
Total Volume 157,620,610577,784,396

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): 0.368 (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
CORE: Bybit