PDA PDA / PYTH Crypto vs POL POL / PYTH 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 PDA / PYTHPOL / PYTH

📈 Performance Metrics

Start Price 0.141.35

End Price 0.041.87

Price Change % -74.89%+38.99%

Period High 0.152.18

Period Low 0.021.08

Price Range % 516.4%102.3%

🏆 All-Time Records

All-Time High 0.152.18

Days Since ATH 246 days95 days

Distance From ATH % -75.5%-14.1%

All-Time Low 0.021.08

Distance From ATL % +50.8%+73.7%

New ATHs Hit 1 times25 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.19%2.69%

Biggest Jump (1 Day) % +0.03+0.28

Biggest Drop (1 Day) % -0.03-1.01

Days Above Avg % 39.8%47.7%

Extreme Moves days 18 (5.2%)11 (3.2%)

Stability Score % 0.0%0.0%

Trend Strength % 51.0%53.1%

Recent Momentum (10-day) % +13.90%+1.98%

📊 Statistical Measures

Average Price 0.071.61

Median Price 0.061.57

Price Std Deviation 0.040.22

🚀 Returns & Growth

CAGR % -77.02%+41.96%

Annualized Return % -77.02%+41.96%

Total Return % -74.89%+38.99%

⚠️ Risk & Volatility

Daily Volatility % 6.88%4.57%

Annualized Volatility % 131.52%87.32%

Max Drawdown % -83.78%-50.56%

Sharpe Ratio -0.0220.048

Sortino Ratio -0.0220.042

Calmar Ratio -0.9190.830

Ulcer Index 57.0215.92

📅 Daily Performance

Win Rate % 48.8%53.1%

Positive Days 167182

Negative Days 175161

Best Day % +24.83%+19.36%

Worst Day % -47.44%-48.21%

Avg Gain (Up Days) % +4.71%+2.73%

Avg Loss (Down Days) % -4.79%-2.62%

Profit Factor 0.941.18

🔥 Streaks & Patterns

Longest Win Streak days 69

Longest Loss Streak days 77

💹 Trading Metrics

Omega Ratio 0.9381.177

Expectancy % -0.15%+0.22%

Kelly Criterion % 0.00%3.05%

📅 Weekly Performance

Best Week % +32.98%+14.98%

Worst Week % -32.92%-28.37%

Weekly Win Rate % 42.3%51.9%

📆 Monthly Performance

Best Month % +21.11%+15.71%

Worst Month % -36.80%-14.98%

Monthly Win Rate % 23.1%53.8%

🔧 Technical Indicators

RSI (14-period) 60.9766.92

Price vs 50-Day MA % +18.79%+8.61%

Price vs 200-Day MA % -16.89%+7.27%

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).

PDA (PDA) vs POL (POL):	-0.640 (Moderate negative)

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

PDA: Kraken
POL: Kraken