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Ping An Insurance (Group) Co. of China Stock Price Chart

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

Ping An Insurance (Group) Co. of China Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 11.72 Sell
20-day SMA: 12.19 Sell
50-day SMA: 12.12 Sell
200-day SMA: 9.9 Buy
8-day EMA: 11.78 Sell
20-day EMA: 12.05 Sell
50-day EMA: 11.78 Sell
200-day EMA: 10.54 Buy

Ping An Insurance (Group) Co. of China Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.18 Sell
Relative Strength Index (14 RSI): 41.06 Sell
Chaikin Money Flow: 11946 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (11.78 - 12.76) Sell
Bollinger Bands (100): (8.59 - 12.41) Buy

Ping An Insurance (Group) Co. of China 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 Ping An Insurance (Group) Co. of China Stock

Is Ping An Insurance (Group) Co. of China Stock a Buy?

PNGAY Technical Analysis vs Fundamental Analysis

Buy
58
Ping An Insurance (Group) Co. of China (PNGAY) is a Buy

Is Ping An Insurance (Group) Co. of China a Buy or a Sell?

Ping An Insurance (Group) Co. of China Stock Info

Market Cap:
103.62B
Price in USD:
11.38
Share Volume:
155.29K

Ping An Insurance (Group) Co. of China 52-Week Range

52-Week High:
15.80
52-Week Low:
7.60
Buy
58
Ping An Insurance (Group) Co. of China (PNGAY) is a Buy

Ping An Insurance (Group) Co. of China Share Price Forecast

Is Ping An Insurance (Group) Co. of China Stock a Buy?

Technical Analysis of Ping An Insurance (Group) Co. of China

Should I short Ping An Insurance (Group) Co. of China stock?

* Ping An Insurance (Group) Co. of China stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.