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Supalai PCL Stock Predictions

Supalai PCL Stock Forecast

  • Is Supalai PCL Stock Undervalued?
    The current Supalai PCL [SUPCF] share price is $0.48. The Score for SUPCF is 43, which is 14% below its historic median score of 50, and infers higher risk than normal.
  • SUPCF is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will Supalai PCL Stock Go Up Next Year?

Data Unavailable

Supalai PCL Stock Rating

Data Unavailable

Supalai PCL Stock Price History

Is SUPCF stock going to rise?

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and SUPCF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Thailand
Industry:
Real Estate Management & Development
Sector:
Real Estate
Type:
stock
Website:
supalai.com

52-Week Data

52-Week High:
0.48
52-Week Low:
0.48

Prediction Charts

Market Cap:
937.47M
Price in USD:
0.48
Volume:
0
Beta:
-0.04

Technical Analysis

SMA50:
0.48
SMA100:
0.48
SMA200:
0.48
52-Wk Change:
0%

Stock Predictions

  • Is Supalai PCL stock public?
    Yes, Supalai PCL is a publicly traded company.
  • What is the Supalai PCL stock quote today?
    The Supalai PCL stock price is 0.48 USD today.
  • How to buy Supalai PCL stock online?
    You can buy Supalai PCL 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 0.48 0.48 0.48 0.48
Nov-26 0.48 0.48 0.48 0.48
Nov-27 0.48 0.48 0.48 0.48
Nov-29 0.48 0.48 0.48 0.48
Dec-2 0.48 0.48 0.48 0.48
Dec-3 0.48 0.48 0.48 0.48
Dec-4 0.48 0.48 0.48 0.48
Dec-5 0.48 0.48 0.48 0.48
Dec-6 0.48 0.48 0.48 0.48
Dec-9 0.48 0.48 0.48 0.48
Dec-10 0.48 0.48 0.48 0.48
Dec-11 0.48 0.48 0.48 0.48
Dec-12 0.48 0.48 0.48 0.48
Dec-13 0.48 0.48 0.48 0.48

Supalai PCL Earnings

Data Unavailable

Supalai PCL Forecast Revenue Growth

Data Unavailable

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