PYTH PYTH / NODE Crypto vs IMX IMX / NODE 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 / NODEIMX / NODE

📈 Performance Metrics

Start Price 1.587.13

End Price 2.018.50

Price Change % +26.91%+19.12%

Period High 2.7512.82

Period Low 0.994.63

Price Range % 176.9%176.9%

🏆 All-Time Records

All-Time High 2.7512.82

Days Since ATH 18 days53 days

Distance From ATH % -27.1%-33.7%

All-Time Low 0.994.63

Distance From ATL % +101.9%+83.5%

New ATHs Hit 11 times6 times

📌 Easy-to-Understand Stats

Avg Daily Change % 7.05%7.01%

Biggest Jump (1 Day) % +1.04+2.35

Biggest Drop (1 Day) % -0.55-2.29

Days Above Avg % 59.6%51.0%

Extreme Moves days 2 (1.9%)8 (7.8%)

Stability Score % 0.0%0.0%

Trend Strength % 49.5%57.3%

Recent Momentum (10-day) % -14.00%-16.17%

📊 Statistical Measures

Average Price 1.958.33

Median Price 2.038.35

Price Std Deviation 0.452.30

🚀 Returns & Growth

CAGR % +132.69%+85.87%

Annualized Return % +132.69%+85.87%

Total Return % +26.91%+19.12%

⚠️ Risk & Volatility

Daily Volatility % 13.54%9.17%

Annualized Volatility % 258.72%175.17%

Max Drawdown % -37.13%-40.09%

Sharpe Ratio 0.0700.065

Sortino Ratio 0.1080.063

Calmar Ratio 3.5742.142

Ulcer Index 17.0921.37

📅 Daily Performance

Win Rate % 50.0%57.3%

Positive Days 5159

Negative Days 5144

Best Day % +104.78%+23.93%

Worst Day % -21.11%-21.53%

Avg Gain (Up Days) % +8.70%+6.58%

Avg Loss (Down Days) % -6.80%-7.43%

Profit Factor 1.281.19

🔥 Streaks & Patterns

Longest Win Streak days 512

Longest Loss Streak days 44

💹 Trading Metrics

Omega Ratio 1.2801.187

Expectancy % +0.95%+0.59%

Kelly Criterion % 1.61%1.21%

📅 Weekly Performance

Best Week % +44.93%+32.59%

Worst Week % -21.95%-23.06%

Weekly Win Rate % 64.7%58.8%

📆 Monthly Performance

Best Month % +41.52%+115.00%

Worst Month % -15.92%-18.35%

Monthly Win Rate % 50.0%33.3%

🔧 Technical Indicators

RSI (14-period) 47.8944.97

Price vs 50-Day MA % -10.21%-14.36%

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):	0.867 (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