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Manhattan Associates Stock Price Chart

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

Manhattan Associates Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 191.39 Sell
20-day SMA: 189.7 Sell
50-day SMA: 181.72 Buy
200-day SMA: 232.1 Sell
8-day EMA: 190.67 Sell
20-day EMA: 189.67 Sell
50-day EMA: 187.27 Buy
200-day EMA: 212.35 Sell

Manhattan Associates Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.81 Buy
Relative Strength Index (14 RSI): 49.91 Sell
Chaikin Money Flow: -390314 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (187.69 - 193.17) Sell
Bollinger Bands (100): (160 - 210.22) Buy

Manhattan Associates 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 Manhattan Associates Stock

Is Manhattan Associates Stock a Buy?

MANH Technical Analysis vs Fundamental Analysis

Sell
37
Manhattan Associates (MANH) is a Sell

Is Manhattan Associates a Buy or a Sell?

Manhattan Associates Stock Info

Market Cap:
11.4B
Price in USD:
188.50
Share Volume:
709.7K

Manhattan Associates 52-Week Range

52-Week High:
312.60
52-Week Low:
140.81
Sell
37
Manhattan Associates (MANH) is a Sell

Manhattan Associates Share Price Forecast

Is Manhattan Associates Stock a Buy?

Fundamental Analysis of Manhattan Associates

Is Manhattan Associates a good investment?

  • Analysts estimate an earnings increase this quarter of $0.10 per share, an increase next quarter of $0.07 per share, an increase this year of $0.02 per share, and an increase next year of $0.42 per share.

Technical Analysis of Manhattan Associates

Should I short Manhattan Associates stock?

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