PYTH PYTH / NODE Crypto vs MCDX MCDX / 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 / NODEMCDX / USD

📈 Performance Metrics

Start Price 1.58292.49

End Price 1.92307.27

Price Change % +21.65%+5.05%

Period High 2.57317.22

Period Low 0.99292.11

Price Range % 158.5%8.6%

🏆 All-Time Records

All-Time High 2.57317.22

Days Since ATH 10 days42 days

Distance From ATH % -25.1%-3.1%

All-Time Low 0.99292.11

Distance From ATL % +93.5%+5.2%

New ATHs Hit 9 times14 times

📌 Easy-to-Understand Stats

Avg Daily Change % 7.41%0.72%

Biggest Jump (1 Day) % +1.04+8.31

Biggest Drop (1 Day) % -0.40-6.89

Days Above Avg % 53.2%45.5%

Extreme Moves days 1 (1.3%)7 (7.0%)

Stability Score % 0.0%99.7%

Trend Strength % 48.7%55.0%

Recent Momentum (10-day) % -14.24%-0.64%

📊 Statistical Measures

Average Price 1.85303.91

Median Price 1.92303.05

Price Std Deviation 0.456.16

🚀 Returns & Growth

CAGR % +156.30%+19.71%

Annualized Return % +156.30%+19.71%

Total Return % +21.65%+5.05%

⚠️ Risk & Volatility

Daily Volatility % 14.75%0.95%

Annualized Volatility % 281.72%18.07%

Max Drawdown % -37.13%-7.20%

Sharpe Ratio 0.0730.057

Sortino Ratio 0.1200.056

Calmar Ratio 4.2102.737

Ulcer Index 15.713.07

📅 Daily Performance

Win Rate % 49.3%56.7%

Positive Days 3755

Negative Days 3842

Best Day % +104.78%+2.78%

Worst Day % -21.11%-2.23%

Avg Gain (Up Days) % +9.45%+0.70%

Avg Loss (Down Days) % -7.06%-0.79%

Profit Factor 1.301.16

🔥 Streaks & Patterns

Longest Win Streak days 54

Longest Loss Streak days 34

💹 Trading Metrics

Omega Ratio 1.3041.161

Expectancy % +1.09%+0.06%

Kelly Criterion % 1.63%9.90%

📅 Weekly Performance

Best Week % +44.93%+3.31%

Worst Week % -17.13%-2.55%

Weekly Win Rate % 69.2%62.5%

📆 Monthly Performance

Best Month % +41.52%+2.65%

Worst Month % -15.92%-3.15%

Monthly Win Rate % 40.0%60.0%

🔧 Technical Indicators

RSI (14-period) 34.8968.31

Price vs 50-Day MA % -9.04%+0.69%

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 MCDX (MCDX):	-0.389 (Moderate negative)

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
MCDX: Bybit