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Li Ning Co., Ltd. Stock Price Chart

  • The current trend is relatively stagnant and LNNGF is experiencing slight buying pressure.

Li Ning Co., Ltd. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 2.2 Sell
20-day SMA: 2.17 Buy
50-day SMA: 2.15 Buy
200-day SMA: 2.08 Buy
8-day EMA: 2.2 Buy
20-day EMA: 2.18 Buy
50-day EMA: 2.13 Buy
200-day EMA: 1.36 Buy

Li Ning Co., Ltd. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.02 Buy
Relative Strength Index (14 RSI): 53.53 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (2.07 - 2.25) Buy
Bollinger Bands (100): (2.07 - 2.33) Sell

Li Ning Co., Ltd. Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Li Ning Co., Ltd. Stock

Is Li Ning Co., Ltd. Stock a Buy?

LNNGF Technical Analysis vs Fundamental Analysis

Sell
31
Li Ning Co., Ltd. (LNNGF) is a Sell

Is Li Ning Co., Ltd. a Buy or a Sell?

Li Ning Co., Ltd. Stock Info

Market Cap:
5.7B
Price in USD:
2.20
Share Volume:
0

Li Ning Co., Ltd. 52-Week Range

52-Week High:
2.60
52-Week Low:
1.53
Sell
31
Li Ning Co., Ltd. (LNNGF) is a Sell

Li Ning Co., Ltd. Share Price Forecast

Is Li Ning Co., Ltd. Stock a Buy?

  • Li Ning Co., Ltd. share price is 2.20 while LNNGF 8-day exponential moving average is 2.20, which is a Buy signal.
  • The stock price of LNNGF is 2.20 while Li Ning Co., Ltd. 20-day EMA is 2.18, which makes it a Buy.
  • Li Ning Co., Ltd. 50-day exponential moving average is 2.13 while LNNGF share price is 2.20, making it a Buy technically.
  • LNNGF stock price is 2.20 and Li Ning Co., Ltd. 200-day simple moving average is 1.36, creating a Buy signal.

Technical Analysis of Li Ning Co., Ltd.

Should I short Li Ning Co., Ltd. stock?

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