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Sino Land Stock Predictions

Sino Land Stock Forecast

  • Is Sino Land Stock Undervalued?
    The current Sino Land [SNLAF] share price is $1.25. The Score for SNLAF is 49, which is 2% below its historic median score of 50, and infers higher risk than normal.
  • SNLAF is currently trading in the 40-50% percentile range relative to its historical Stock Score levels.

Will Sino Land Stock Go Up Next Year?

Data Unavailable

Sino Land Stock Rating

Data Unavailable

Sino Land Stock Price History

Is SNLAF 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 SNLAF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Hong Kong
Industry:
Real Estate Management & Development
Sector:
Real Estate
Type:
stock
Website:
sino.com

52-Week Data

52-Week High:
1.25
52-Week Low:
0.92

Prediction Charts

Market Cap:
10.81B
Price in USD:
1.25
Volume:
0
Beta:
0.39

Technical Analysis

SMA50:
1.25
SMA100:
1.16
SMA200:
1.09
52-Wk Change:
21.95%

Stock Predictions

  • Is Sino Land stock public?
    Yes, Sino Land is a publicly traded company.
  • What is the Sino Land stock quote today?
    The Sino Land stock price is 1.25 USD today.
  • How to buy Sino Land stock online?
    You can buy Sino Land 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 1.25 1.25 1.25 1.25
Nov-26 1.25 1.25 1.25 1.25
Nov-27 1.25 1.25 1.25 1.25
Nov-29 1.25 1.25 1.25 1.25
Dec-2 1.25 1.25 1.25 1.25
Dec-3 1.25 1.25 1.25 1.25
Dec-4 1.25 1.25 1.25 1.25
Dec-5 1.25 1.25 1.25 1.25
Dec-6 1.25 1.25 1.25 1.25
Dec-9 1.25 1.25 1.25 1.25
Dec-10 1.25 1.25 1.25 1.25
Dec-11 1.25 1.25 1.25 1.25
Dec-12 1.25 1.25 1.25 1.25
Dec-13 1.25 1.25 1.25 1.25

Sino Land Earnings

Data Unavailable

Sino Land Forecast Revenue Growth

Data Unavailable

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