PYTH PYTH / MDAO Crypto vs INJ INJ / MDAO 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 / MDAOINJ / MDAO
📈 Performance Metrics
Start Price 7.02460.54
End Price 12.89943.92
Price Change % +83.50%+104.96%
Period High 13.14963.74
Period Low 2.88250.52
Price Range % 356.3%284.7%
🏆 All-Time Records
All-Time High 13.14963.74
Days Since ATH 1 days1 days
Distance From ATH % -2.0%-2.1%
All-Time Low 2.88250.52
Distance From ATL % +347.4%+276.8%
New ATHs Hit 9 times11 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.96%5.93%
Biggest Jump (1 Day) % +3.03+198.04
Biggest Drop (1 Day) % -6.09-441.87
Days Above Avg % 46.0%43.2%
Extreme Moves days 13 (4.0%)16 (5.0%)
Stability Score % 0.0%98.1%
Trend Strength % 53.6%53.9%
Recent Momentum (10-day) % +10.28%+13.82%
📊 Statistical Measures
Average Price 5.33417.73
Median Price 5.13399.74
Price Std Deviation 1.47104.61
🚀 Returns & Growth
CAGR % +98.58%+125.01%
Annualized Return % +98.58%+125.01%
Total Return % +83.50%+104.96%
⚠️ Risk & Volatility
Daily Volatility % 8.80%7.96%
Annualized Volatility % 168.17%152.02%
Max Drawdown % -64.03%-62.13%
Sharpe Ratio 0.0650.069
Sortino Ratio 0.0710.070
Calmar Ratio 1.5402.012
Ulcer Index 38.1829.04
📅 Daily Performance
Win Rate % 53.6%53.9%
Positive Days 173174
Negative Days 150149
Best Day % +58.79%+44.01%
Worst Day % -47.91%-48.16%
Avg Gain (Up Days) % +5.83%+5.69%
Avg Loss (Down Days) % -5.49%-5.44%
Profit Factor 1.221.22
🔥 Streaks & Patterns
Longest Win Streak days 99
Longest Loss Streak days 87
💹 Trading Metrics
Omega Ratio 1.2251.220
Expectancy % +0.57%+0.55%
Kelly Criterion % 1.79%1.79%
📅 Weekly Performance
Best Week % +56.09%+54.82%
Worst Week % -21.65%-26.53%
Weekly Win Rate % 59.2%61.2%
📆 Monthly Performance
Best Month % +83.05%+84.69%
Worst Month % -28.11%-33.47%
Monthly Win Rate % 50.0%66.7%
🔧 Technical Indicators
RSI (14-period) 60.4361.64
Price vs 50-Day MA % +107.65%+99.67%
Price vs 200-Day MA % +151.94%+109.14%

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): 0.589 (Moderate 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