PYTH PYTH / ALEPH Crypto vs JUP JUP / ALEPH Crypto

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

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Asset PYTH / ALEPHJUP / ALEPH
📈 Performance Metrics
Start Price 2.856.45
End Price 2.207.18
Price Change % -22.85%+11.41%
Period High 3.2211.67
Period Low 1.314.95
Price Range % 145.3%136.0%
🏆 All-Time Records
All-Time High 3.2211.67
Days Since ATH 94 days273 days
Distance From ATH % -31.6%-38.5%
All-Time Low 1.314.95
Distance From ATL % +67.8%+45.2%
New ATHs Hit 5 times8 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.74%4.71%
Biggest Jump (1 Day) % +1.64+2.47
Biggest Drop (1 Day) % -1.12-2.45
Days Above Avg % 48.2%39.2%
Extreme Moves days 8 (2.3%)17 (5.0%)
Stability Score % 0.0%7.8%
Trend Strength % 49.9%51.9%
Recent Momentum (10-day) % +9.59%+8.07%
📊 Statistical Measures
Average Price 2.157.30
Median Price 2.127.04
Price Std Deviation 0.381.19
🚀 Returns & Growth
CAGR % -24.24%+12.27%
Annualized Return % -24.24%+12.27%
Total Return % -22.85%+11.41%
⚠️ Risk & Volatility
Daily Volatility % 8.45%6.73%
Annualized Volatility % 161.44%128.62%
Max Drawdown % -57.57%-57.63%
Sharpe Ratio 0.0260.038
Sortino Ratio 0.0350.040
Calmar Ratio -0.4210.213
Ulcer Index 33.1336.27
📅 Daily Performance
Win Rate % 50.1%51.9%
Positive Days 171177
Negative Days 170164
Best Day % +104.36%+40.62%
Worst Day % -34.66%-33.11%
Avg Gain (Up Days) % +5.00%+4.76%
Avg Loss (Down Days) % -4.58%-4.60%
Profit Factor 1.101.12
🔥 Streaks & Patterns
Longest Win Streak days 67
Longest Loss Streak days 117
💹 Trading Metrics
Omega Ratio 1.0981.116
Expectancy % +0.22%+0.26%
Kelly Criterion % 0.97%1.17%
📅 Weekly Performance
Best Week % +60.52%+64.65%
Worst Week % -21.13%-27.97%
Weekly Win Rate % 51.9%51.9%
📆 Monthly Performance
Best Month % +88.18%+57.38%
Worst Month % -23.68%-36.91%
Monthly Win Rate % 46.2%46.2%
🔧 Technical Indicators
RSI (14-period) 60.7659.95
Price vs 50-Day MA % +12.24%+11.55%
Price vs 200-Day MA % +15.10%+3.52%

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): 0.424 (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
JUP: Kraken
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