PYTH PYTH / SPK 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 / SPKNODE / USD
📈 Performance Metrics
Start Price 2.300.07
End Price 2.960.05
Price Change % +28.82%-32.10%
Period High 3.890.12
Period Low 0.740.05
Price Range % 426.3%136.1%
🏆 All-Time Records
All-Time High 3.890.12
Days Since ATH 92 days49 days
Distance From ATH % -23.8%-57.7%
All-Time Low 0.740.05
Distance From ATL % +300.9%+0.0%
New ATHs Hit 16 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.56%6.56%
Biggest Jump (1 Day) % +1.92+0.02
Biggest Drop (1 Day) % -1.37-0.02
Days Above Avg % 61.0%55.8%
Extreme Moves days 4 (3.4%)4 (5.3%)
Stability Score % 0.0%0.0%
Trend Strength % 63.2%55.3%
Recent Momentum (10-day) % +4.10%-6.96%
📊 Statistical Measures
Average Price 2.440.08
Median Price 2.660.08
Price Std Deviation 0.830.02
🚀 Returns & Growth
CAGR % +120.35%-84.42%
Annualized Return % +120.35%-84.42%
Total Return % +28.82%-32.10%
⚠️ Risk & Volatility
Daily Volatility % 14.54%8.99%
Annualized Volatility % 277.75%171.68%
Max Drawdown % -81.00%-57.65%
Sharpe Ratio 0.081-0.011
Sortino Ratio 0.086-0.013
Calmar Ratio 1.486-1.464
Ulcer Index 40.7031.46
📅 Daily Performance
Win Rate % 63.8%44.0%
Positive Days 7433
Negative Days 4242
Best Day % +103.53%+27.35%
Worst Day % -55.27%-30.87%
Avg Gain (Up Days) % +6.78%+7.49%
Avg Loss (Down Days) % -8.66%-6.07%
Profit Factor 1.380.97
🔥 Streaks & Patterns
Longest Win Streak days 83
Longest Loss Streak days 47
💹 Trading Metrics
Omega Ratio 1.3800.969
Expectancy % +1.19%-0.10%
Kelly Criterion % 2.03%0.00%
📅 Weekly Performance
Best Week % +116.56%+20.57%
Worst Week % -39.18%-21.50%
Weekly Win Rate % 68.4%38.5%
📆 Monthly Performance
Best Month % +160.85%+25.68%
Worst Month % -55.73%-35.72%
Monthly Win Rate % 66.7%40.0%
🔧 Technical Indicators
RSI (14-period) 52.6741.14
Price vs 50-Day MA % +2.39%-34.69%

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 NODE (NODE): -0.412 (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
NODE: Kraken