PYTH PYTH / MXC Crypto vs PYTH PYTH / MXC 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 / MXCPYTH / MXC
📈 Performance Metrics
Start Price 85.8785.87
End Price 73.2373.23
Price Change % -14.71%-14.71%
Period High 174.16174.16
Period Low 21.0021.00
Price Range % 729.4%729.4%
🏆 All-Time Records
All-Time High 174.16174.16
Days Since ATH 185 days185 days
Distance From ATH % -58.0%-58.0%
All-Time Low 21.0021.00
Distance From ATL % +248.7%+248.7%
New ATHs Hit 8 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.90%6.90%
Biggest Jump (1 Day) % +64.37+64.37
Biggest Drop (1 Day) % -61.18-61.18
Days Above Avg % 44.8%44.8%
Extreme Moves days 17 (5.0%)17 (5.0%)
Stability Score % 85.8%85.8%
Trend Strength % 47.5%47.5%
Recent Momentum (10-day) % -8.45%-8.45%
📊 Statistical Measures
Average Price 87.6987.69
Median Price 84.7584.75
Price Std Deviation 30.9430.94
🚀 Returns & Growth
CAGR % -15.58%-15.58%
Annualized Return % -15.58%-15.58%
Total Return % -14.71%-14.71%
⚠️ Risk & Volatility
Daily Volatility % 12.47%12.47%
Annualized Volatility % 238.31%238.31%
Max Drawdown % -87.94%-87.94%
Sharpe Ratio 0.0640.064
Sortino Ratio 0.0670.067
Calmar Ratio -0.177-0.177
Ulcer Index 48.6548.65
📅 Daily Performance
Win Rate % 52.5%52.5%
Positive Days 180180
Negative Days 163163
Best Day % +95.81%+95.81%
Worst Day % -72.31%-72.31%
Avg Gain (Up Days) % +7.81%+7.81%
Avg Loss (Down Days) % -6.95%-6.95%
Profit Factor 1.241.24
🔥 Streaks & Patterns
Longest Win Streak days 88
Longest Loss Streak days 88
💹 Trading Metrics
Omega Ratio 1.2401.240
Expectancy % +0.79%+0.79%
Kelly Criterion % 1.46%1.46%
📅 Weekly Performance
Best Week % +79.65%+79.65%
Worst Week % -75.24%-75.24%
Weekly Win Rate % 55.8%55.8%
📆 Monthly Performance
Best Month % +133.94%+133.94%
Worst Month % -79.48%-79.48%
Monthly Win Rate % 53.8%53.8%
🔧 Technical Indicators
RSI (14-period) 44.6944.69
Price vs 50-Day MA % -18.06%-18.06%
Price vs 200-Day MA % -13.46%-13.46%

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 PYTH (PYTH): 1.000 (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
PYTH: Kraken