PYTH PYTH / EUL Crypto vs IMX IMX / 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 / EULIMX / USD

📈 Performance Metrics

Start Price 0.131.69

End Price 0.020.32

Price Change % -85.70%-80.82%

Period High 0.142.13

Period Low 0.010.31

Price Range % 1,895.9%594.7%

🏆 All-Time Records

All-Time High 0.142.13

Days Since ATH 322 days332 days

Distance From ATH % -86.7%-84.7%

All-Time Low 0.010.31

Distance From ATL % +165.2%+6.0%

New ATHs Hit 2 times8 times

📌 Easy-to-Understand Stats

Avg Daily Change % 4.57%4.40%

Biggest Jump (1 Day) % +0.02+0.15

Biggest Drop (1 Day) % -0.02-0.34

Days Above Avg % 28.5%27.6%

Extreme Moves days 4 (1.2%)17 (5.0%)

Stability Score % 0.0%0.0%

Trend Strength % 54.5%52.8%

Recent Momentum (10-day) % +7.76%-18.57%

📊 Statistical Measures

Average Price 0.040.76

Median Price 0.020.60

Price Std Deviation 0.040.42

🚀 Returns & Growth

CAGR % -87.38%-82.75%

Annualized Return % -87.38%-82.75%

Total Return % -85.70%-80.82%

⚠️ Risk & Volatility

Daily Volatility % 8.58%5.87%

Annualized Volatility % 163.86%112.14%

Max Drawdown % -94.99%-85.61%

Sharpe Ratio -0.034-0.052

Sortino Ratio -0.051-0.051

Calmar Ratio -0.920-0.967

Ulcer Index 79.0667.33

📅 Daily Performance

Win Rate % 45.3%47.1%

Positive Days 155161

Negative Days 187181

Best Day % +122.12%+20.43%

Worst Day % -19.45%-27.41%

Avg Gain (Up Days) % +4.64%+4.44%

Avg Loss (Down Days) % -4.38%-4.53%

Profit Factor 0.880.87

🔥 Streaks & Patterns

Longest Win Streak days 127

Longest Loss Streak days 1312

💹 Trading Metrics

Omega Ratio 0.8790.872

Expectancy % -0.29%-0.31%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +58.79%+32.40%

Worst Week % -36.73%-27.46%

Weekly Win Rate % 40.4%50.0%

📆 Monthly Performance

Best Month % +81.63%+38.20%

Worst Month % -46.80%-36.92%

Monthly Win Rate % 23.1%46.2%

🔧 Technical Indicators

RSI (14-period) 64.1424.16

Price vs 50-Day MA % +12.39%-42.77%

Price vs 200-Day MA % +31.31%-41.14%

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 IMX (IMX):	0.944 (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
IMX: Kraken