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Commercial Vehicle Group Stock Price Chart

  • The current trend is relatively stagnant and CVGI is experiencing buying pressure, which is a positive indicator for future bullish movement.

Commercial Vehicle Group Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.06 Sell
20-day SMA: 1.25 Sell
50-day SMA: 1.69 Sell
200-day SMA: 2.9 Sell
8-day EMA: 1.02 Sell
20-day EMA: 0.92 Buy
50-day EMA: 0.58 Buy
200-day EMA: 0.19 Buy

Commercial Vehicle Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.18 Buy
Relative Strength Index (14 RSI): 27.42 Sell
Chaikin Money Flow: 263926 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1.08 - 1.62) Sell
Bollinger Bands (100): (1.57 - 2.43) Sell

Commercial Vehicle Group 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 Commercial Vehicle Group Stock

Is Commercial Vehicle Group Stock a Buy?

CVGI Technical Analysis vs Fundamental Analysis

Sell
11
Commercial Vehicle Group (CVGI) is a Sell

Is Commercial Vehicle Group a Buy or a Sell?

Commercial Vehicle Group Stock Info

Market Cap:
32.5M
Price in USD:
0.94
Share Volume:
274.6K

Commercial Vehicle Group 52-Week Range

52-Week High:
6.44
52-Week Low:
0.86
Sell
11
Commercial Vehicle Group (CVGI) is a Sell

Commercial Vehicle Group Share Price Forecast

Is Commercial Vehicle Group Stock a Buy?

Fundamental Analysis of Commercial Vehicle Group

Is Commercial Vehicle Group a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.01 per share, an increase next quarter of $0.04 per share, a decrease this year of $0.08 per share, and an increase next year of $0.37 per share.

Technical Analysis of Commercial Vehicle Group

Should I short Commercial Vehicle Group stock?

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