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Comparison amongst [AEP, SPX, XLU]
Data updated 2025-Jun-17 (Tuesday)Compare American Electric Power Co., Inc., S&P 500 Index, Utilities 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
American Electric Power Co.... | S&P 500 Index | Utilities Select Sector SPD... | |
---|---|---|---|
Sector | Utilities | ||
Industry | Electric Utilities | Investment Trusts/Mutual Funds | |
% off 5-d SMA/EMA | -0.6% -0.4% | -0.5% -0.4% | -0.9% -0.7% |
% off 10-d SMA/EMA | -0.4% -0.5% | -0.3% -0.2% | -0.8% -0.9% |
% off 20-d SMA/EMA | -0.8% -0.9% | +0.6% +0.7% | -1.1% -0.8% |
% off 50-d SMA/EMA | -2.3% -1.6% | +5.0% +2.7% | +1.0% +0.2% |
% off 100-d SMA/EMA | -2.2% -1.0% | +3.7% +3.4% | +1.7% +1.3% |
% off 200-d SMA/EMA | +0.8% +1.5% | +3.0% +4.8% | +1.8% +3.5% |
RSI | 43 | 57 | 47 |
MACD | 0.08 | -9.45 | -0.18 |
Stochastic Oscillator | 46.1 56.3 | 71.4 78.1 | 28.8 40.8 |
ADX | 19.2 | 16.0 | 8.0 |
CCI | -105.1 | 53.7 | -103.3 |
OBV | 805 Million | 1.31 Trillion | 1.34 Billion |
Chaikin AD | 922 Million | 2.07 Trillion | 2.73 Billion |
ATR | 1.56 | 71.83 | 1.16 |
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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