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Agape ATP Stock Predictions

Agape ATP Stock Forecast

  • Is Agape ATP Stock Undervalued?
    The current Agape ATP [ATPC] share price is $1.43. The Score for ATPC is 66, which is 32% above its historic median score of 50, and infers lower risk than normal.
  • ATPC is currently trading in the 60-70% percentile range relative to its historical Stock Score levels.

Will Agape ATP Stock Go Up Next Year?

Data Unavailable

Agape ATP Stock Rating

Data Unavailable

Agape ATP Stock Price History

Is ATPC 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 ATPC is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
Malaysia
Industry:
Health Care Providers & Services
Sector:
Health Care
Type:
stock
Website:
agapeatp.com

52-Week Data

52-Week High:
19.60
52-Week Low:
1.36

Prediction Charts

Market Cap:
5.7M
Price in USD:
1.43
Volume:
6.62K
Beta:
0.61

Technical Analysis

SMA50:
1.58
SMA100:
1.82
SMA200:
3.56
52-Wk Change:
-89.64%

Stock Predictions

  • Is Agape ATP stock public?
    Yes, Agape ATP is a publicly traded company.
  • What is the Agape ATP stock quote today?
    The Agape ATP stock price is 1.43 USD today.
  • How to buy Agape ATP stock online?
    You can buy Agape ATP 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-25 1.43 1.59 1.60 1.43
Nov-26 1.68 1.56 1.68 1.54
Nov-27 1.60 1.55 1.60 1.48
Nov-29 1.58 1.54 1.58 1.50
Dec-2 1.55 1.59 1.63 1.53
Dec-3 1.50 1.56 1.60 1.50
Dec-4 1.55 1.55 1.63 1.55
Dec-5 1.55 1.58 1.61 1.55
Dec-6 1.55 1.49 1.59 1.46
Dec-9 1.47 1.42 1.54 1.42
Dec-10 1.40 1.44 1.45 1.40
Dec-11 1.40 1.44 1.60 1.40
Dec-12 1.49 1.45 1.49 1.40
Dec-13 1.46 1.43 1.46 1.39

Agape ATP Earnings

Data Unavailable

Agape ATP Forecast Revenue Growth

Data Unavailable

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