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Comparison amongst [ARE, SPX, XLRE]
Data updated 2025-Jul-21 (Monday)Compare Alexandria Real Estate Equities, Inc., S&P 500 Index, Real Estate Select Sector SPDR Fund 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
Alexandria Real Estate Equi... | S&P 500 Index | Real Estate Select Sector S... | |
---|---|---|---|
Sector | Real Estate | ||
Industry | REITs | Investment Trusts/Mutual Funds | |
% off 5-d SMA/EMA | +0.1% +0.0% | +0.4% +0.3% | +0.7% +0.5% |
% off 10-d SMA/EMA | +0.0% +0.6% | +0.6% +0.6% | +0.8% +0.7% |
% off 20-d SMA/EMA | +2.5% +2.2% | +1.4% +1.5% | +0.9% +0.8% |
% off 50-d SMA/EMA | +6.6% +2.8% | +4.4% +4.1% | +0.9% +1.0% |
% off 100-d SMA/EMA | -2.9% -2.9% | +8.7% +6.2% | +1.5% +1.1% |
% off 200-d SMA/EMA | -15.8% -12.8% | +7.4% +8.6% | +0.0% +1.4% |
RSI | 59 | 70 | 56 |
MACD | 0.13 | -5.02 | 0.03 |
Stochastic Oscillator | 78.6 78.0 | 88.0 86.4 | 78.4 76.4 |
ADX | 20.3 | 31.1 | 8.7 |
CCI | 74.9 | 108.6 | 136.9 |
OBV | 33.3 Million | 1.33 Trillion | 303 Million |
Chaikin AD | 114 Million | 2.1 Trillion | 563 Million |
ATR | 2.04 | 51.68 | 0.52 |
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Performance
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Performance
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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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Dashboard : Market Pulse using broad themes (e.g. Growth vs. Value, Equities vs. Treasuries etc.)
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
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