PYTH PYTH / MCDX Crypto vs NODE NODE / USD Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / MCDXNODE / USD
📈 Performance Metrics
Start Price 0.000.07
End Price 0.000.04
Price Change % -35.14%-40.09%
Period High 0.000.12
Period Low 0.000.03
Price Range % 235.5%261.7%
🏆 All-Time Records
All-Time High 0.000.12
Days Since ATH 78 days79 days
Distance From ATH % -70.2%-62.6%
All-Time Low 0.000.03
Distance From ATL % +0.0%+35.2%
New ATHs Hit 12 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.11%6.26%
Biggest Jump (1 Day) % +0.00+0.02
Biggest Drop (1 Day) % 0.00-0.02
Days Above Avg % 46.9%51.4%
Extreme Moves days 3 (2.3%)6 (5.7%)
Stability Score % 0.0%0.0%
Trend Strength % 57.4%59.4%
Recent Momentum (10-day) % -8.60%+6.83%
📊 Statistical Measures
Average Price 0.000.07
Median Price 0.000.07
Price Std Deviation 0.000.02
🚀 Returns & Growth
CAGR % -70.63%-82.86%
Annualized Return % -70.63%-82.86%
Total Return % -35.14%-40.09%
⚠️ Risk & Volatility
Daily Volatility % 10.56%8.61%
Annualized Volatility % 201.72%164.52%
Max Drawdown % -70.20%-72.35%
Sharpe Ratio 0.009-0.013
Sortino Ratio 0.015-0.016
Calmar Ratio -1.006-1.145
Ulcer Index 38.1344.38
📅 Daily Performance
Win Rate % 42.6%40.0%
Positive Days 5542
Negative Days 7463
Best Day % +97.62%+27.35%
Worst Day % -33.69%-30.87%
Avg Gain (Up Days) % +6.05%+7.54%
Avg Loss (Down Days) % -4.33%-5.22%
Profit Factor 1.040.96
🔥 Streaks & Patterns
Longest Win Streak days 73
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 1.0380.963
Expectancy % +0.09%-0.12%
Kelly Criterion % 0.36%0.00%
📅 Weekly Performance
Best Week % +67.14%+20.57%
Worst Week % -21.14%-21.50%
Weekly Win Rate % 55.0%47.1%
📆 Monthly Performance
Best Month % +62.07%+25.68%
Worst Month % -35.42%-35.72%
Monthly Win Rate % 50.0%50.0%
🔧 Technical Indicators
RSI (14-period) 44.4970.58
Price vs 50-Day MA % -37.09%-10.15%

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): 0.642 (Moderate 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
NODE: Kraken