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Brilliance China Automotive Holdings Ltd. 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 BCAUF is experiencing slight buying pressure.

Brilliance China Automotive Holdings Ltd. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 0.52 Sell
20-day SMA: 0.54 Sell
50-day SMA: 0.52 Sell
200-day SMA: 0.44 Buy
8-day EMA: 0.52 Sell
20-day EMA: 0.53 Sell
50-day EMA: 0.52 Sell
200-day EMA: 0.47 Buy

Brilliance China Automotive Holdings Ltd. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.01 Sell
Relative Strength Index (14 RSI): 23.01 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (0.53 - 0.57) Sell
Bollinger Bands (100): (0.47 - 0.55) Sell

Brilliance China Automotive Holdings 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 Brilliance China Automotive Holdings Ltd. Stock

Is Brilliance China Automotive Holdings Ltd. Stock a Buy?

BCAUF Technical Analysis vs Fundamental Analysis

Sell
45
Brilliance China Automotive Holdings Ltd. (BCAUF) is a Sell

Is Brilliance China Automotive Holdings Ltd. a Buy or a Sell?

Brilliance China Automotive Holdings Ltd. Stock Info

Market Cap:
2.5B
Price in USD:
0.50
Share Volume:
0

Brilliance China Automotive Holdings Ltd. 52-Week Range

52-Week High:
0.56
52-Week Low:
0.30
Sell
45
Brilliance China Automotive Holdings Ltd. (BCAUF) is a Sell

Brilliance China Automotive Holdings Ltd. Share Price Forecast

Is Brilliance China Automotive Holdings Ltd. Stock a Buy?

Technical Analysis of Brilliance China Automotive Holdings Ltd.

Should I short Brilliance China Automotive Holdings Ltd. stock?

* Brilliance China Automotive Holdings 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.