PYTH PYTH / SPK Crypto vs JUP JUP / SPK 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 / SPKJUP / SPK
📈 Performance Metrics
Start Price 2.309.37
End Price 2.769.00
Price Change % +20.02%-3.94%
Period High 3.8916.40
Period Low 0.743.28
Price Range % 426.3%399.4%
🏆 All-Time Records
All-Time High 3.8916.40
Days Since ATH 123 days121 days
Distance From ATH % -29.0%-45.1%
All-Time Low 0.743.28
Distance From ATL % +273.5%+174.1%
New ATHs Hit 16 times13 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.75%5.39%
Biggest Jump (1 Day) % +1.92+2.09
Biggest Drop (1 Day) % -1.37-4.76
Days Above Avg % 64.4%40.3%
Extreme Moves days 5 (3.4%)10 (6.8%)
Stability Score % 0.0%0.0%
Trend Strength % 60.1%37.8%
Recent Momentum (10-day) % +3.17%+7.48%
📊 Statistical Measures
Average Price 2.488.84
Median Price 2.638.46
Price Std Deviation 0.752.80
🚀 Returns & Growth
CAGR % +56.83%-9.43%
Annualized Return % +56.83%-9.43%
Total Return % +20.02%-3.94%
⚠️ Risk & Volatility
Daily Volatility % 13.12%9.77%
Annualized Volatility % 250.63%186.64%
Max Drawdown % -81.00%-79.98%
Sharpe Ratio 0.0690.052
Sortino Ratio 0.0760.044
Calmar Ratio 0.702-0.118
Ulcer Index 39.2847.74
📅 Daily Performance
Win Rate % 60.5%62.2%
Positive Days 8992
Negative Days 5856
Best Day % +103.53%+51.14%
Worst Day % -55.27%-53.74%
Avg Gain (Up Days) % +6.10%+4.94%
Avg Loss (Down Days) % -7.04%-6.79%
Profit Factor 1.331.20
🔥 Streaks & Patterns
Longest Win Streak days 811
Longest Loss Streak days 44
💹 Trading Metrics
Omega Ratio 1.3301.196
Expectancy % +0.92%+0.50%
Kelly Criterion % 2.13%1.50%
📅 Weekly Performance
Best Week % +116.56%+39.22%
Worst Week % -39.18%-37.00%
Weekly Win Rate % 69.6%60.9%
📆 Monthly Performance
Best Month % +160.85%+71.08%
Worst Month % -55.73%-56.87%
Monthly Win Rate % 71.4%71.4%
🔧 Technical Indicators
RSI (14-period) 73.9975.68
Price vs 50-Day MA % -0.65%+0.59%

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 JUP (JUP): 0.841 (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

PYTH: Kraken
JUP: Kraken
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