PYTH PYTH / IMX Crypto vs DATA DATA / IMX Crypto

Stats Comprehensive Analytics for the Selected Time Period

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

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Asset PYTH / IMXDATA / IMX
📈 Performance Metrics
Start Price 0.250.02
End Price 0.240.02
Price Change % -3.68%-4.27%
Period High 0.420.05
Period Low 0.190.01
Price Range % 125.6%202.6%
🏆 All-Time Records
All-Time High 0.420.05
Days Since ATH 70 days138 days
Distance From ATH % -42.5%-47.6%
All-Time Low 0.190.01
Distance From ATL % +29.8%+58.5%
New ATHs Hit 14 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 2.86%3.19%
Biggest Jump (1 Day) % +0.19+0.01
Biggest Drop (1 Day) % -0.05-0.01
Days Above Avg % 45.3%57.6%
Extreme Moves days 7 (2.0%)18 (5.2%)
Stability Score % 0.0%0.0%
Trend Strength % 52.8%47.2%
Recent Momentum (10-day) % +1.43%+25.13%
📊 Statistical Measures
Average Price 0.250.03
Median Price 0.250.03
Price Std Deviation 0.030.01
🚀 Returns & Growth
CAGR % -3.92%-4.53%
Annualized Return % -3.92%-4.53%
Total Return % -3.68%-4.27%
⚠️ Risk & Volatility
Daily Volatility % 6.16%4.78%
Annualized Volatility % 117.70%91.28%
Max Drawdown % -55.68%-66.95%
Sharpe Ratio 0.0220.021
Sortino Ratio 0.0370.021
Calmar Ratio -0.070-0.068
Ulcer Index 30.1631.18
📅 Daily Performance
Win Rate % 47.1%52.8%
Positive Days 161181
Negative Days 181162
Best Day % +90.01%+29.86%
Worst Day % -13.75%-23.62%
Avg Gain (Up Days) % +3.16%+3.10%
Avg Loss (Down Days) % -2.55%-3.25%
Profit Factor 1.101.07
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 106
💹 Trading Metrics
Omega Ratio 1.1011.066
Expectancy % +0.14%+0.10%
Kelly Criterion % 1.69%1.00%
📅 Weekly Performance
Best Week % +69.93%+59.23%
Worst Week % -14.90%-17.89%
Weekly Win Rate % 55.8%53.8%
📆 Monthly Performance
Best Month % +61.10%+58.49%
Worst Month % -34.18%-37.93%
Monthly Win Rate % 53.8%53.8%
🔧 Technical Indicators
RSI (14-period) 53.3474.66
Price vs 50-Day MA % +7.75%+24.06%
Price vs 200-Day MA % +1.98%-11.99%

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): 0.500 (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
DATA: Binance