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Uber Technologies Stock Price Chart

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Buy
61
UBER
Uber Technologies
Last Price:
$91.53
Seasonality Move:
7.56%
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Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and UBER is experiencing buying pressure, which is a positive indicator for future bullish movement.
Uber Technologies Price Chart Indicators
Moving Averages | Level | Buy or Sell |
---|---|---|
8-day SMA: | 84.16 | Buy |
20-day SMA: | 79.22 | Buy |
50-day SMA: | 75.27 | Buy |
200-day SMA: | 71.96 | Buy |
8-day EMA: | 83.72 | Buy |
20-day EMA: | 80.25 | Buy |
50-day EMA: | 76.51 | Buy |
200-day EMA: | 71.85 | Buy |
Uber Technologies Technical Analysis Indicators
Chart Indicators | Level | Buy or Sell |
---|---|---|
MACD (12, 26): | 3.26 | Buy |
Relative Strength Index (14 RSI): | 69.72 | Buy |
Chaikin Money Flow: | 36407751 | - |
Bollinger Bands | Level | Buy or Sell |
---|---|---|
Bollinger Bands (25): | (71.25 - 83.23) | Buy |
Bollinger Bands (100): | (64.94 - 78.62) | Buy |
Uber Technologies Technical Analysis
Apr 29 | Apr 30 | May 1 | May 2 | May 5 | May 6 | May 7 | May 8 | May 9 | May 12 | |
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29 | 30 | 01 | 02 | 05 | 06 | 07 | 08 | 09 | 12 | |
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Bollinger Bands (100): |
Technical Analysis for Uber Technologies Stock
Is Uber Technologies Stock a Buy?
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Uber Technologies share price is 88.10 while UBER 8-day simple moving average is 84.16, which is a Buy signal.
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The stock price of UBER is 88.10 while Uber Technologies 20-day SMA is 79.22, which makes it a Buy.
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Uber Technologies 50-day simple moving average is 75.27 while UBER share price is 88.10, making it a Buy technically.
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UBER stock price is 88.10 and Uber Technologies 200-day simple moving average is 71.96, creating a Buy signal.
UBER Technical Analysis vs Fundamental Analysis
Buy
61
Uber Technologies (UBER)
is a Buy
Is Uber Technologies a Buy or a Sell?
-
Uber Technologies stock is rated a BuyThe current Uber Technologies [UBER] share price is $88.10. The Score for UBER is 61, which is 22% above its historic median score of 50, and infers lower risk than normal.
Uber Technologies Stock Info
Market Cap:
184.2B
Price in USD:
88.10
Share Volume:
39.1M
Uber Technologies 52-Week Range
52-Week High:
88.31
52-Week Low:
54.84
Buy
61
Uber Technologies (UBER)
is a Buy
Uber Technologies Share Price Forecast
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What is the Uber Technologies stock price today?The Uber Technologies stock price is 88.10 USD today.
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Will UBER stock go up or go down?Uber Technologies> share price is forecast to RISE/FALL based on technical indicators
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Is Uber Technologies overvalued?According to simple moving average, exponential moving average, oscillators, and other technical indicators, Uber Technologies is not overvalued.
Is Uber Technologies Stock a Buy?
-
Uber Technologies share price is 88.10 while UBER 8-day exponential moving average is 83.72, which is a Buy signal.
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The stock price of UBER is 88.10 while Uber Technologies 20-day EMA is 80.25, which makes it a Buy.
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Uber Technologies 50-day exponential moving average is 76.51 while UBER share price is 88.10, making it a Buy technically.
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UBER stock price is 88.10 and Uber Technologies 200-day simple moving average is 71.85, creating a Buy signal.
Fundamental Analysis of Uber Technologies
Is Uber Technologies a good investment?
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Analysts estimate an earnings increase this quarter of $0.23 per share, an increase next quarter of $0.28 per share, an increase this year of $0.85 per share, and an increase next year of $0.74 per share.
Technical Analysis of Uber Technologies
Should I short Uber Technologies stock?
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UBER Moving Average Covergence Divergence (MACD) indicator is 3.26, suggesting Uber Technologies is a Buy
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Uber Technologies Relative Strength Index (RSI) is 69.72, which suggest Uber Technologies is overbought
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The Bollinger Bands (25) for Uber Technologies is (71.25 - 83.23), which suggest Uber Technologies is a Buy
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The Bollinger Bands (100) for Uber Technologies is (64.94 - 78.62), which suggest Uber Technologies is a Buy
* Uber Technologies stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.