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Uber Technologies, Inc. Stock Price Chart

  • The current trend is relatively stagnant and UBER is experiencing slight buying pressure.

Uber Technologies, Inc. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 86.16 Buy
20-day SMA: 89.33 Buy
50-day SMA: 93.29 Sell
200-day SMA: 87.15 Buy
8-day EMA: 87.7 Buy
20-day EMA: 89.14 Buy
50-day EMA: 91.56 Sell
200-day EMA: 87.41 Buy

Uber Technologies, Inc. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.87 Sell
Relative Strength Index (14 RSI): 51.78 Buy
Chaikin Money Flow: 9033436 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (86.35 - 95.23) Sell
Bollinger Bands (100): (89.26 - 96.82) Sell

Uber Technologies, Inc. Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Uber Technologies, Inc. Stock

Is Uber Technologies, Inc. Stock a Buy?

UBER Technical Analysis vs Fundamental Analysis

Sell
50
Uber Technologies, Inc. (UBER) is a Sell

Is Uber Technologies, Inc. a Buy or a Sell?

Uber Technologies, Inc. Stock Info

Market Cap:
188.4B
Price in USD:
90.68
Share Volume:
21.3M

Uber Technologies, Inc. 52-Week Range

52-Week High:
101.99
52-Week Low:
59.33
Sell
50
Uber Technologies, Inc. (UBER) is a Sell

Uber Technologies, Inc. Share Price Forecast

Is Uber Technologies, Inc. Stock a Buy?

Fundamental Analysis of Uber Technologies, Inc.

Is Uber Technologies, Inc. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.29 per share, a decrease next quarter of $0.00 per share, an increase this year of $3.55 per share, and a decrease next year of $2.06 per share.

Technical Analysis of Uber Technologies, Inc.

Should I short Uber Technologies, Inc. stock?

* Uber Technologies, Inc. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.