PYTH PYTH / USD Crypto vs INJ INJ / 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 / USDINJ / USD

📈 Performance Metrics

Start Price 0.5133.38

End Price 0.075.44

Price Change % -86.94%-83.70%

Period High 0.5133.38

Period Low 0.075.22

Price Range % 665.6%540.0%

🏆 All-Time Records

All-Time High 0.5133.38

Days Since ATH 343 days343 days

Distance From ATH % -86.9%-83.7%

All-Time Low 0.075.22

Distance From ATL % +0.0%+4.3%

New ATHs Hit 0 times0 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.76%4.56%

Biggest Jump (1 Day) % +0.11+2.77

Biggest Drop (1 Day) % -0.09-5.20

Days Above Avg % 29.7%43.0%

Extreme Moves days 6 (1.7%)17 (5.0%)

Stability Score % 0.0%54.9%

Trend Strength % 52.8%51.6%

Recent Momentum (10-day) % -8.16%-3.56%

📊 Statistical Measures

Average Price 0.1813.24

Median Price 0.1512.68

Price Std Deviation 0.095.11

🚀 Returns & Growth

CAGR % -88.54%-85.49%

Annualized Return % -88.54%-85.49%

Total Return % -86.94%-83.70%

⚠️ Risk & Volatility

Daily Volatility % 8.02%5.97%

Annualized Volatility % 153.23%114.12%

Max Drawdown % -86.94%-84.38%

Sharpe Ratio -0.040-0.057

Sortino Ratio -0.051-0.054

Calmar Ratio -1.018-1.013

Ulcer Index 68.3862.25

📅 Daily Performance

Win Rate % 47.1%48.2%

Positive Days 161165

Negative Days 181177

Best Day % +99.34%+21.49%

Worst Day % -32.57%-37.35%

Avg Gain (Up Days) % +4.68%+4.27%

Avg Loss (Down Days) % -4.77%-4.65%

Profit Factor 0.870.86

🔥 Streaks & Patterns

Longest Win Streak days 78

Longest Loss Streak days 67

💹 Trading Metrics

Omega Ratio 0.8720.858

Expectancy % -0.32%-0.34%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +65.86%+40.68%

Worst Week % -27.08%-28.74%

Weekly Win Rate % 47.2%49.1%

📆 Monthly Performance

Best Month % +65.32%+30.01%

Worst Month % -32.91%-41.36%

Monthly Win Rate % 30.8%46.2%

🔧 Technical Indicators

RSI (14-period) 34.3345.66

Price vs 50-Day MA % -34.32%-30.88%

Price vs 200-Day MA % -46.41%-52.89%

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):	0.909 (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
INJ: Kraken