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Comparison amongst [ULTA, SPX, XLY, XRT]
Data updated 2025-Jul-18 (Friday)Compare Ulta Beauty Inc, S&P 500 Index, Consumer Discretionary Select Sector SPDR Fund, SPDR S&P Retail ETF side by side across multiple time-frames, technicals & financials . To compare performance using custom dates or benchmarking with a custom security, try alternate view
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Technical indicators calculated using daily values. Hover on cells below for additional contextual info
| Ulta Beauty Inc | S&P 500 Index | Consumer Discretionary Sele... | SPDR S&P Retail ETF | |
|---|---|---|---|---|
| Sector | Consumer Discretionary | |||
| Industry | Misc Retail | Investment Trusts/Mutual Funds | Investment Trusts/Mutual Funds | |
| % off 5-d SMA/EMA | +1.8% +1.4% | +0.4% +0.3% | +0.7% +0.6% | +0.1% +0.1% |
| % off 10-d SMA/EMA | +2.6% +2.4% | +0.5% +0.6% | +0.9% +1.0% | -0.3% +0.1% |
| % off 20-d SMA/EMA | +4.0% +3.8% | +1.5% +1.6% | +1.8% +1.7% | +1.0% +0.9% |
| % off 50-d SMA/EMA | +9.3% +9.0% | +4.5% +4.2% | +3.4% +3.7% | +3.4% +3.5% |
| % off 100-d SMA/EMA | +21.1% +15.1% | +8.6% +6.2% | +7.8% +5.0% | +9.2% +5.3% |
| % off 200-d SMA/EMA | +23.4% +19.3% | +7.3% +8.5% | +4.7% +7.1% | +4.7% +5.9% |
| RSI | 69 | 69 | 61 | 57 |
| MACD | 0.07 | -4.85 | -0.03 | -0.16 |
| Stochastic Oscillator | 79.8 68.3 | 87.9 84.2 | 74.6 72.3 | 57.5 58.7 |
| ADX | 37.3 | 30.5 | 7.7 | 18.1 |
| CCI | 170.7 | 93.7 | 104.6 | 41.6 |
| OBV | 83.2 Million | 1.33 Trillion | 897 Million | 1.02 Billion |
| Chaikin AD | 41 Million | 2.1 Trillion | 1.8 Billion | 1.67 Billion |
| ATR | 10.55 | 52.63 | 2.86 | 1.31 |
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Performance
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Relative Strength Index (RSI) is considered overbought when > 70 and oversold when < 30
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Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation Currently Viewing
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
Swing Volatility : Identifying stocks/etfs with elevated volatility
World Explorer : Performance & Correlation between key countries across the world
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels
Snapshots : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
Market Performance : Recent performance across covered assets
Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation Currently Viewing
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
Swing Volatility : Identifying stocks/etfs with elevated volatility
World Explorer : Performance & Correlation between key countries across the world
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels