PYTH PYTH / PDA Crypto vs DATA DATA / PDA 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 / PDADATA / PDA
📈 Performance Metrics
Start Price 9.010.90
End Price 33.243.07
Price Change % +268.90%+242.41%
Period High 41.993.54
Period Low 6.810.86
Price Range % 516.4%310.3%
🏆 All-Time Records
All-Time High 41.993.54
Days Since ATH 72 days111 days
Distance From ATH % -20.8%-13.4%
All-Time Low 6.810.86
Distance From ATL % +388.1%+255.5%
New ATHs Hit 30 times28 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.09%4.45%
Biggest Jump (1 Day) % +19.92+0.80
Biggest Drop (1 Day) % -8.04-0.71
Days Above Avg % 42.2%46.5%
Extreme Moves days 11 (3.2%)20 (5.8%)
Stability Score % 56.4%0.0%
Trend Strength % 51.3%53.1%
Recent Momentum (10-day) % -16.30%+0.03%
📊 Statistical Measures
Average Price 17.891.98
Median Price 16.001.86
Price Std Deviation 9.760.88
🚀 Returns & Growth
CAGR % +301.11%+270.54%
Annualized Return % +301.11%+270.54%
Total Return % +268.90%+242.41%
⚠️ Risk & Volatility
Daily Volatility % 7.79%6.23%
Annualized Volatility % 148.91%118.96%
Max Drawdown % -36.18%-30.61%
Sharpe Ratio 0.0820.088
Sortino Ratio 0.1120.099
Calmar Ratio 8.3238.837
Ulcer Index 15.3412.67
📅 Daily Performance
Win Rate % 51.5%53.1%
Positive Days 176182
Negative Days 166161
Best Day % +90.25%+34.36%
Worst Day % -19.89%-21.60%
Avg Gain (Up Days) % +5.18%+4.56%
Avg Loss (Down Days) % -4.17%-3.99%
Profit Factor 1.321.29
🔥 Streaks & Patterns
Longest Win Streak days 76
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.3171.293
Expectancy % +0.64%+0.55%
Kelly Criterion % 2.97%3.01%
📅 Weekly Performance
Best Week % +49.06%+50.33%
Worst Week % -24.80%-15.05%
Weekly Win Rate % 59.6%46.2%
📆 Monthly Performance
Best Month % +58.23%+70.69%
Worst Month % -17.43%-10.02%
Monthly Win Rate % 69.2%53.8%
🔧 Technical Indicators
RSI (14-period) 48.3656.99
Price vs 50-Day MA % -3.77%+5.35%
Price vs 200-Day MA % +36.59%+16.34%

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 DATA (DATA): 0.881 (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
DATA: Binance