NODE NODE / USD Crypto vs PYTH PYTH / 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 NODE / USDPYTH / USD

📈 Performance Metrics

Start Price 0.070.36

End Price 0.030.06

Price Change % -59.65%-83.12%

Period High 0.120.40

Period Low 0.030.05

Price Range % 297.4%633.0%

🏆 All-Time Records

All-Time High 0.120.40

Days Since ATH 94 days327 days

Distance From ATH % -74.8%-84.6%

All-Time Low 0.030.05

Distance From ATL % +0.0%+12.5%

New ATHs Hit 8 times3 times

📌 Easy-to-Understand Stats

Avg Daily Change % 6.09%4.50%

Biggest Jump (1 Day) % +0.02+0.11

Biggest Drop (1 Day) % -0.02-0.05

Days Above Avg % 52.5%34.3%

Extreme Moves days 8 (6.6%)6 (1.7%)

Stability Score % 0.0%0.0%

Trend Strength % 60.3%52.8%

Recent Momentum (10-day) % -10.70%-13.94%

📊 Statistical Measures

Average Price 0.060.16

Median Price 0.070.14

Price Std Deviation 0.020.08

🚀 Returns & Growth

CAGR % -93.53%-84.94%

Annualized Return % -93.53%-84.94%

Total Return % -59.65%-83.12%

⚠️ Risk & Volatility

Daily Volatility % 8.25%7.91%

Annualized Volatility % 157.68%151.08%

Max Drawdown % -74.84%-86.36%

Sharpe Ratio -0.050-0.032

Sortino Ratio -0.057-0.042

Calmar Ratio -1.250-0.984

Ulcer Index 48.0162.78

📅 Daily Performance

Win Rate % 39.2%47.2%

Positive Days 47162

Negative Days 73181

Best Day % +27.35%+99.34%

Worst Day % -30.87%-32.57%

Avg Gain (Up Days) % +6.92%+4.60%

Avg Loss (Down Days) % -5.14%-4.60%

Profit Factor 0.870.89

🔥 Streaks & Patterns

Longest Win Streak days 37

Longest Loss Streak days 76

💹 Trading Metrics

Omega Ratio 0.8680.894

Expectancy % -0.41%-0.26%

Kelly Criterion % 0.00%0.00%

📅 Weekly Performance

Best Week % +20.57%+65.86%

Worst Week % -26.06%-23.21%

Weekly Win Rate % 47.4%48.1%

📆 Monthly Performance

Best Month % +25.68%+65.32%

Worst Month % -35.72%-32.91%

Monthly Win Rate % 33.3%30.8%

🔧 Technical Indicators

RSI (14-period) 18.0641.84

Price vs 50-Day MA % -25.26%-22.20%

Price vs 200-Day MA % N/A-48.62%

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).

NODE (NODE) vs PYTH (PYTH):	0.733 (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

NODE: Kraken
PYTH: Kraken