PYTH PYTH / API3 Crypto vs NODE NODE / API3 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 / API3NODE / API3

📈 Performance Metrics

Start Price 0.230.11

End Price 0.140.07

Price Change % -37.09%-31.40%

Period High 0.290.14

Period Low 0.070.05

Price Range % 290.0%155.8%

🏆 All-Time Records

All-Time High 0.290.14

Days Since ATH 255 days92 days

Distance From ATH % -50.6%-48.4%

All-Time Low 0.070.05

Distance From ATL % +92.5%+32.1%

New ATHs Hit 8 times4 times

📌 Easy-to-Understand Stats

Avg Daily Change % 3.13%7.16%

Biggest Jump (1 Day) % +0.10+0.03

Biggest Drop (1 Day) % -0.07-0.04

Days Above Avg % 43.9%37.8%

Extreme Moves days 7 (2.0%)5 (5.2%)

Stability Score % 0.0%0.0%

Trend Strength % 51.3%48.5%

Recent Momentum (10-day) % -9.25%+9.34%

📊 Statistical Measures

Average Price 0.190.09

Median Price 0.180.08

Price Std Deviation 0.040.02

🚀 Returns & Growth

CAGR % -38.93%-75.78%

Annualized Return % -38.93%-75.78%

Total Return % -37.09%-31.40%

⚠️ Risk & Volatility

Daily Volatility % 7.48%9.40%

Annualized Volatility % 142.82%179.63%

Max Drawdown % -74.36%-60.91%

Sharpe Ratio 0.0140.008

Sortino Ratio 0.0180.008

Calmar Ratio -0.524-1.244

Ulcer Index 36.6341.25

📅 Daily Performance

Win Rate % 48.7%51.5%

Positive Days 16750

Negative Days 17647

Best Day % +100.01%+26.21%

Worst Day % -40.21%-38.26%

Avg Gain (Up Days) % +3.55%+6.79%

Avg Loss (Down Days) % -3.17%-7.06%

Profit Factor 1.061.02

🔥 Streaks & Patterns

Longest Win Streak days 85

Longest Loss Streak days 105

💹 Trading Metrics

Omega Ratio 1.0621.022

Expectancy % +0.10%+0.08%

Kelly Criterion % 0.90%0.16%

📅 Weekly Performance

Best Week % +90.77%+31.63%

Worst Week % -34.62%-27.43%

Weekly Win Rate % 51.9%43.8%

📆 Monthly Performance

Best Month % +32.24%+12.70%

Worst Month % -54.84%-23.12%

Monthly Win Rate % 46.2%20.0%

🔧 Technical Indicators

RSI (14-period) 36.2157.78

Price vs 50-Day MA % -14.63%-3.12%

Price vs 200-Day MA % -13.72%N/A

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 NODE (NODE):	0.274 (Weak)

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
NODE: Kraken