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Comparison amongst [NKLA, SPX, XLY]
Data updated 2025-Oct-15 (Wednesday)Compare Nikola Corp., S&P 500 Index, Consumer Discretionary 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
| Nikola Corp. | S&P 500 Index | Consumer Discretionary Sele... | |
|---|---|---|---|
| Sector | Consumer Discretionary | ||
| Industry | Automotive | Investment Trusts/Mutual Funds | |
| % off 5-d SMA/EMA | -47.0% -45.4% | -0.4% -0.2% | +0.3% +0.1% |
| % off 10-d SMA/EMA | -63.4% -59.2% | -0.7% -0.4% | -0.8% -0.5% |
| % off 20-d SMA/EMA | -70.0% -69.9% | -0.4% -0.1% | -1.5% -0.8% |
| % off 50-d SMA/EMA | -81.3% -89.3% | +1.5% +1.5% | +0.2% +0.5% |
| % off 100-d SMA/EMA | -91.5% -99.2% | +4.8% +4.3% | +3.8% +3.1% |
| % off 200-d SMA/EMA | -99.8% -99.9% | +9.7% +8.3% | +7.5% +7.0% |
| RSI | 30 | 51 | 47 |
| MACD | -0.01 | -16.17 | -1.13 |
| Stochastic Oscillator | 3.7 9.2 | 31.1 45.8 | 26.0 19.6 |
| ADX | 19.8 | 28.1 | 18.7 |
| CCI | -171.4 | -73.9 | -127.7 |
| OBV | -397 Million | 1.38 Trillion | 898 Million |
| Chaikin AD | -433 Million | 2.15 Trillion | 1.83 Billion |
| ATR | 0.16 | 68.31 | 3.75 |
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Performance
Technicals Moving Averages |
Performance
Technicals Moving Averages |
Performance
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Relative Strength Index (RSI) is considered overbought when > 70 and oversold when < 30
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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