Financhill
Back

Li Ning Stock Predictions

Li Ning Stock Forecast

  • Is Li Ning Stock Undervalued?
    The current Li Ning [LNNGF] share price is $2.40. The Score for LNNGF is 29, which is 42% below its historic median score of 50, and infers higher risk than normal.
  • LNNGF is currently trading in the 20-30% percentile range relative to its historical Stock Score levels.

Will Li Ning Stock Go Up Next Year?

Data Unavailable

Li Ning Stock Rating

Data Unavailable

Li Ning Stock Price History

Is LNNGF 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 LNNGF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
China
Industry:
Textiles, Apparel & Luxury Goods
Sector:
Consumer Discretionary
Type:
stock
Website:
lining.com

52-Week Data

52-Week High:
2.99
52-Week Low:
1.62

Prediction Charts

Market Cap:
6.18B
Price in USD:
2.40
Volume:
0
Beta:
0.69

Technical Analysis

SMA50:
2.23
SMA100:
2.02
SMA200:
2.28
52-Wk Change:
0%

Stock Predictions

  • Is Li Ning stock public?
    Yes, Li Ning is a publicly traded company.
  • What is the Li Ning stock quote today?
    The Li Ning stock price is 2.40 USD today.
  • How to buy Li Ning stock online?
    You can buy Li Ning 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-22 2.07 2.07 2.07 2.07
Nov-25 2.07 2.07 2.07 2.07
Nov-26 2.07 2.07 2.07 2.07
Nov-27 2.07 2.07 2.07 2.07
Nov-29 2.07 2.07 2.07 2.07
Dec-2 2.07 2.07 2.07 2.07
Dec-3 2.07 2.07 2.07 2.07
Dec-4 2.07 2.07 2.07 2.07
Dec-5 2.07 2.07 2.07 2.07
Dec-6 2.07 2.07 2.07 2.07
Dec-9 2.40 2.40 2.40 2.40
Dec-10 2.40 2.40 2.40 2.40
Dec-11 2.40 2.40 2.40 2.40
Dec-12 2.40 2.40 2.40 2.40

Li Ning Earnings

Data Unavailable

Li Ning Forecast Revenue Growth

Data Unavailable

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