PYTH PYTH / PYTH Crypto vs DYDX DYDX / 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 / PYTHDYDX / USD

📈 Performance Metrics

Start Price 1.001.25

End Price 1.000.31

Price Change % +0.00%-74.93%

Period High 1.002.64

Period Low 1.000.27

Price Range % 0.0%877.4%

🏆 All-Time Records

All-Time High 1.002.64

Days Since ATH 343 days317 days

Distance From ATH % +0.0%-88.2%

All-Time Low 1.000.27

Distance From ATL % +0.0%+15.7%

New ATHs Hit 0 times13 times

📌 Easy-to-Understand Stats

Avg Daily Change % 0.00%4.74%

Biggest Jump (1 Day) % +0.00+0.52

Biggest Drop (1 Day) % 0.00-0.51

Days Above Avg % 0.0%24.1%

Extreme Moves days 0 (0.0%)17 (5.0%)

Stability Score % 100.0%0.0%

Trend Strength % 0.0%49.9%

Recent Momentum (10-day) % +0.00%-44.38%

📊 Statistical Measures

Average Price 1.000.83

Median Price 1.000.64

Price Std Deviation 0.000.43

🚀 Returns & Growth

CAGR % +0.00%-77.06%

Annualized Return % +0.00%-77.06%

Total Return % +0.00%-74.93%

⚠️ Risk & Volatility

Daily Volatility % 0.00%6.19%

Annualized Volatility % 0.00%118.20%

Max Drawdown % -0.00%-89.77%

Sharpe Ratio 0.000-0.031

Sortino Ratio 0.000-0.029

Calmar Ratio 0.000-0.858

Ulcer Index 0.0069.57

📅 Daily Performance

Win Rate % 0.0%49.7%

Positive Days 0169

Negative Days 0171

Best Day % +0.00%+28.90%

Worst Day % 0.00%-48.14%

Avg Gain (Up Days) % +0.00%+4.21%

Avg Loss (Down Days) % -0.00%-4.55%

Profit Factor 0.000.91

🔥 Streaks & Patterns

Longest Win Streak days 06

Longest Loss Streak days 06

💹 Trading Metrics

Omega Ratio 0.0000.915

Expectancy % +0.00%-0.20%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +0.00%+48.26%

Worst Week % 0.00%-31.90%

Weekly Win Rate % 0.0%48.1%

📆 Monthly Performance

Best Month % +0.00%+38.04%

Worst Month % 0.00%-28.31%

Monthly Win Rate % 0.0%38.5%

🔧 Technical Indicators

RSI (14-period) 100.0031.02

Price vs 50-Day MA % +0.00%-42.95%

Price vs 200-Day MA % +0.00%-46.62%

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 DYDX (DYDX):	0.000 (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
DYDX: Kraken