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Standard Motor Products Stock Price Chart

  • The current trend is moderately bearish and SMP is experiencing selling pressure, which indicates risk of future bearish movement.

Standard Motor Products Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 31.88 Sell
20-day SMA: 31.14 Buy
50-day SMA: 30.5 Buy
200-day SMA: 33.63 Sell
8-day EMA: 31.7 Sell
20-day EMA: 31.44 Sell
50-day EMA: 30.98 Buy
200-day EMA: 32.61 Sell

Standard Motor Products Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.32 Buy
Relative Strength Index (14 RSI): 50.28 Buy
Chaikin Money Flow: -75274 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (30.18 - 32.06) Buy
Bollinger Bands (100): (28.84 - 32.46) Buy

Standard Motor Products 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 Standard Motor Products Stock

Is Standard Motor Products Stock a Buy?

SMP Technical Analysis vs Fundamental Analysis

Buy
62
Standard Motor Products (SMP) is a Buy

Is Standard Motor Products a Buy or a Sell?

Standard Motor Products Stock Info

Market Cap:
679.83M
Price in USD:
31.31
Share Volume:
110.86K

Standard Motor Products 52-Week Range

52-Week High:
41.71
52-Week Low:
26.09
Buy
62
Standard Motor Products (SMP) is a Buy

Standard Motor Products Share Price Forecast

Is Standard Motor Products Stock a Buy?

Fundamental Analysis of Standard Motor Products

Is Standard Motor Products a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.13 per share, an increase next quarter of $0.05 per share, a decrease this year of $0.16 per share, and an increase next year of $0.40 per share.

Technical Analysis of Standard Motor Products

Should I short Standard Motor Products stock?

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