PYTH PYTH / PYTH Crypto vs INJ INJ / 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 PYTH / PYTHINJ / PYTH

📈 Performance Metrics

Start Price 1.0065.59

End Price 1.0082.74

Price Change % +0.00%+26.15%

Period High 1.00124.63

Period Low 1.0054.33

Price Range % 0.0%129.4%

🏆 All-Time Records

All-Time High 1.00124.63

Days Since ATH 343 days97 days

Distance From ATH % +0.0%-33.6%

All-Time Low 1.0054.33

Distance From ATL % +0.0%+52.3%

New ATHs Hit 0 times23 times

📌 Easy-to-Understand Stats

Avg Daily Change % 0.00%2.54%

Biggest Jump (1 Day) % +0.00+8.52

Biggest Drop (1 Day) % 0.00-54.24

Days Above Avg % 0.0%35.8%

Extreme Moves days 0 (0.0%)13 (3.8%)

Stability Score % 100.0%94.8%

Trend Strength % 0.0%56.3%

Recent Momentum (10-day) % +0.00%+5.52%

📊 Statistical Measures

Average Price 1.0081.18

Median Price 1.0073.75

Price Std Deviation 0.0019.87

🚀 Returns & Growth

CAGR % +0.00%+28.05%

Annualized Return % +0.00%+28.05%

Total Return % +0.00%+26.15%

⚠️ Risk & Volatility

Daily Volatility % 0.00%4.19%

Annualized Volatility % 0.00%80.10%

Max Drawdown % -0.00%-51.83%

Sharpe Ratio 0.0000.041

Sortino Ratio 0.0000.033

Calmar Ratio 0.0000.541

Ulcer Index 0.0021.08

📅 Daily Performance

Win Rate % 0.0%56.3%

Positive Days 0193

Negative Days 0150

Best Day % +0.00%+12.76%

Worst Day % 0.00%-47.06%

Avg Gain (Up Days) % +0.00%+2.40%

Avg Loss (Down Days) % -0.00%-2.69%

Profit Factor 0.001.15

🔥 Streaks & Patterns

Longest Win Streak days 09

Longest Loss Streak days 05

💹 Trading Metrics

Omega Ratio 0.0001.146

Expectancy % +0.00%+0.17%

Kelly Criterion % 0.00%2.67%

📅 Weekly Performance

Best Week % +0.00%+15.18%

Worst Week % 0.00%-40.25%

Weekly Win Rate % 0.0%44.2%

📆 Monthly Performance

Best Month % +0.00%+52.96%

Worst Month % 0.00%-38.81%

Monthly Win Rate % 0.0%61.5%

🔧 Technical Indicators

RSI (14-period) 100.0059.47

Price vs 50-Day MA % +0.00%+8.03%

Price vs 200-Day MA % +0.00%-11.45%

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 INJ (INJ):	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
INJ: Kraken