PYTH PYTH / MXC Crypto vs OPEN OPEN / 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

Model:

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.

Asset PYTH / MXCOPEN / USD

📈 Performance Metrics

Start Price 75.361.43

End Price 89.300.25

Price Change % +18.50%-82.16%

Period High 174.161.43

Period Low 21.000.25

Price Range % 729.4%460.7%

🏆 All-Time Records

All-Time High 174.161.43

Days Since ATH 168 days47 days

Distance From ATH % -48.7%-82.2%

All-Time Low 21.000.25

Distance From ATL % +325.2%+0.0%

New ATHs Hit 12 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.81%8.30%

Biggest Jump (1 Day) % +64.37+0.18

Biggest Drop (1 Day) % -61.18-0.30

Days Above Avg % 44.8%45.8%

Extreme Moves days 16 (4.7%)2 (4.3%)

Stability Score % 86.0%0.0%

Trend Strength % 53.9%59.6%

Recent Momentum (10-day) % +1.34%-37.42%

📊 Statistical Measures

Average Price 87.540.60

Median Price 84.210.59

Price Std Deviation 30.950.29

🚀 Returns & Growth

CAGR % +19.80%-100.00%

Annualized Return % +19.80%-100.00%

Total Return % +18.50%-82.16%

⚠️ Risk & Volatility

Daily Volatility % 12.28%11.38%

Annualized Volatility % 234.65%217.42%

Max Drawdown % -87.94%-82.16%

Sharpe Ratio 0.071-0.256

Sortino Ratio 0.072-0.234

Calmar Ratio 0.225-1.217

Ulcer Index 47.2661.27

📅 Daily Performance

Win Rate % 54.1%39.1%

Positive Days 18518

Negative Days 15728

Best Day % +95.81%+41.11%

Worst Day % -72.31%-41.30%

Avg Gain (Up Days) % +7.55%+6.00%

Avg Loss (Down Days) % -7.00%-8.74%

Profit Factor 1.270.44

🔥 Streaks & Patterns

Longest Win Streak days 84

Longest Loss Streak days 86

💹 Trading Metrics

Omega Ratio 1.2710.441

Expectancy % +0.87%-2.97%

Kelly Criterion % 1.65%0.00%

📅 Weekly Performance

Best Week % +79.65%+26.96%

Worst Week % -75.24%-29.76%

Weekly Win Rate % 55.8%37.5%

📆 Monthly Performance

Best Month % +133.94%+38.65%

Worst Month % -79.48%-70.14%

Monthly Win Rate % 53.8%33.3%

🔧 Technical Indicators

RSI (14-period) 53.5726.07

Price vs 50-Day MA % -6.75%N/A

Price vs 200-Day MA % +0.79%N/A

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 OPEN (OPEN):	0.524 (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
OPEN: Kraken