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U Power Stock Predictions

U Power Stock Forecast

  • Is U Power Stock Undervalued?
    The current U Power [UCAR] share price is $6.16. The Score for UCAR is 3, which is 94% below its historic median score of 50, and infers higher risk than normal.
  • UCAR is currently trading in the 0-10% percentile range relative to its historical Stock Score levels.

Will U Power Stock Go Up Next Year?

Data Unavailable

U Power Stock Rating

Data Unavailable

U Power Stock Price History

Is UCAR stock going to rise?

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and UCAR is experiencing selling pressure, which indicates risk of future bearish movement.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
China
Industry:
Specialty Retail
Sector:
Consumer Discretionary
Type:
stock
Website:
upincar.com

52-Week Data

52-Week High:
211.00
52-Week Low:
4.20

Prediction Charts

Market Cap:
17.19M
Price in USD:
6.16
Volume:
17.42K
Beta:
1.95

Technical Analysis

SMA50:
6.99
SMA100:
7.01
SMA200:
6.59
52-Wk Change:
-97%

Stock Predictions

  • Is U Power stock public?
    Yes, U Power is a publicly traded company.
  • What is the U Power stock quote today?
    The U Power stock price is 6.16 USD today.
  • How to buy U Power stock online?
    You can buy U Power shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
Nov-5 7.97 8.46 8.50 7.89
Nov-6 8.40 8.22 8.40 7.85
Nov-7 8.06 7.99 8.06 7.88
Nov-8 8.00 7.89 8.13 7.81
Nov-11 7.69 7.16 7.93 7.15
Nov-12 7.24 6.75 7.37 6.62
Nov-13 6.74 6.43 7.00 6.36
Nov-14 6.60 7.00 7.14 6.50
Nov-15 6.51 6.51 6.97 6.44
Nov-18 6.65 6.59 7.00 6.42
Nov-19 6.70 6.44 6.72 6.35
Nov-20 6.59 6.45 6.79 6.20
Nov-21 6.39 6.63 6.63 6.30
Nov-22 6.50 6.16 6.65 6.16

U Power Earnings

Data Unavailable

U Power Forecast Revenue Growth

Data Unavailable

* U Power stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.