PYTH PYTH / PDA Crypto vs PYTH PYTH / PDA Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / PDAPYTH / PDA
📈 Performance Metrics
Start Price 9.219.21
End Price 33.7633.76
Price Change % +266.63%+266.63%
Period High 41.9941.99
Period Low 6.816.81
Price Range % 516.4%516.4%
🏆 All-Time Records
All-Time High 41.9941.99
Days Since ATH 73 days73 days
Distance From ATH % -19.6%-19.6%
All-Time Low 6.816.81
Distance From ATL % +395.6%+395.6%
New ATHs Hit 29 times29 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.07%5.07%
Biggest Jump (1 Day) % +19.92+19.92
Biggest Drop (1 Day) % -8.04-8.04
Days Above Avg % 41.9%41.9%
Extreme Moves days 11 (3.2%)11 (3.2%)
Stability Score % 56.6%56.6%
Trend Strength % 51.3%51.3%
Recent Momentum (10-day) % -13.84%-13.84%
📊 Statistical Measures
Average Price 17.9717.97
Median Price 16.0716.07
Price Std Deviation 9.799.79
🚀 Returns & Growth
CAGR % +298.49%+298.49%
Annualized Return % +298.49%+298.49%
Total Return % +266.63%+266.63%
⚠️ Risk & Volatility
Daily Volatility % 7.79%7.79%
Annualized Volatility % 148.90%148.90%
Max Drawdown % -36.18%-36.18%
Sharpe Ratio 0.0820.082
Sortino Ratio 0.1110.111
Calmar Ratio 8.2508.250
Ulcer Index 15.3715.37
📅 Daily Performance
Win Rate % 51.5%51.5%
Positive Days 176176
Negative Days 166166
Best Day % +90.25%+90.25%
Worst Day % -19.89%-19.89%
Avg Gain (Up Days) % +5.18%+5.18%
Avg Loss (Down Days) % -4.17%-4.17%
Profit Factor 1.321.32
🔥 Streaks & Patterns
Longest Win Streak days 77
Longest Loss Streak days 66
💹 Trading Metrics
Omega Ratio 1.3161.316
Expectancy % +0.64%+0.64%
Kelly Criterion % 2.96%2.96%
📅 Weekly Performance
Best Week % +49.06%+49.06%
Worst Week % -24.80%-24.80%
Weekly Win Rate % 56.6%56.6%
📆 Monthly Performance
Best Month % +58.23%+58.23%
Worst Month % -17.43%-17.43%
Monthly Win Rate % 69.2%69.2%
🔧 Technical Indicators
RSI (14-period) 50.1250.12
Price vs 50-Day MA % -2.42%-2.42%
Price vs 200-Day MA % +38.08%+38.08%

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 PYTH (PYTH): 1.000 (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
PYTH: Kraken
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