PYTH PYTH / PYTH Crypto vs PDA PDA / 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 / PYTHPDA / USD

📈 Performance Metrics

Start Price 1.000.04

End Price 1.000.00

Price Change % +0.00%-93.93%

Period High 1.000.07

Period Low 1.000.00

Price Range % 0.0%2,849.3%

🏆 All-Time Records

All-Time High 1.000.07

Days Since ATH 343 days310 days

Distance From ATH % +0.0%-96.6%

All-Time Low 1.000.00

Distance From ATL % +0.0%+0.0%

New ATHs Hit 0 times13 times

📌 Easy-to-Understand Stats

Avg Daily Change % 0.00%4.71%

Biggest Jump (1 Day) % +0.00+0.01

Biggest Drop (1 Day) % 0.00-0.01

Days Above Avg % 0.0%38.4%

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

Stability Score % 100.0%0.0%

Trend Strength % 0.0%53.1%

Recent Momentum (10-day) % +0.00%-20.03%

📊 Statistical Measures

Average Price 1.000.02

Median Price 1.000.01

Price Std Deviation 0.000.02

🚀 Returns & Growth

CAGR % +0.00%-94.92%

Annualized Return % +0.00%-94.92%

Total Return % +0.00%-93.93%

⚠️ Risk & Volatility

Daily Volatility % 0.00%6.43%

Annualized Volatility % 0.00%122.82%

Max Drawdown % -0.00%-96.61%

Sharpe Ratio 0.000-0.093

Sortino Ratio 0.000-0.087

Calmar Ratio 0.000-0.983

Ulcer Index 0.0074.71

📅 Daily Performance

Win Rate % 0.0%46.0%

Positive Days 0155

Negative Days 0182

Best Day % +0.00%+23.92%

Worst Day % 0.00%-36.78%

Avg Gain (Up Days) % +0.00%+4.47%

Avg Loss (Down Days) % -0.00%-4.93%

Profit Factor 0.000.77

🔥 Streaks & Patterns

Longest Win Streak days 05

Longest Loss Streak days 06

💹 Trading Metrics

Omega Ratio 0.0000.772

Expectancy % +0.00%-0.61%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +0.00%+31.57%

Worst Week % 0.00%-43.37%

Weekly Win Rate % 0.0%44.2%

📆 Monthly Performance

Best Month % +0.00%+49.00%

Worst Month % 0.00%-36.97%

Monthly Win Rate % 0.0%23.1%

🔧 Technical Indicators

RSI (14-period) 100.0016.65

Price vs 50-Day MA % +0.00%-53.39%

Price vs 200-Day MA % +0.00%-68.27%

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 PDA (PDA):	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
PDA: Kraken