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Information Services Stock Price Chart

  • The current trend is relatively stagnant and ISV.TO is experiencing selling pressure, which indicates risk of future bearish movement.

Information Services Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.15 Sell
20-day SMA: 28.7 Sell
50-day SMA: 28.01 Sell
200-day SMA: 25.97 Buy
8-day EMA: 28.14 Sell
20-day EMA: 28.36 Sell
50-day EMA: 27.98 Sell
200-day EMA: 26.14 Buy

Information Services Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.07 Sell
Relative Strength Index (14 RSI): 42.1 Sell
Chaikin Money Flow: -3387 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (28.13 - 29.43) Sell
Bollinger Bands (100): (25.61 - 28.29) Buy

Information Services 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 Information Services Stock

Is Information Services Stock a Buy?

ISV.TO Technical Analysis vs Fundamental Analysis

Sell
18
Information Services (ISV.TO) is a Sell

Is Information Services a Buy or a Sell?

Information Services Stock Info

Market Cap:
506.12M
Price in USD:
27.92
Share Volume:
3.39K

Information Services 52-Week Range

52-Week High:
30.00
52-Week Low:
19.22
Sell
18
Information Services (ISV.TO) is a Sell

Information Services Share Price Forecast

Is Information Services Stock a Buy?

Fundamental Analysis of Information Services

Is Information Services a good investment?

  • Analysts estimate an earnings increase this quarter of $0.16 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.44 per share, and an increase next year of $0.28 per share.

Technical Analysis of Information Services

Should I short Information Services stock?

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