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Information Services 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 ISV.TO is experiencing buying pressure, which is a positive indicator for future bullish movement.

Information Services Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.14 Sell
20-day SMA: 28.44 Sell
50-day SMA: 28.61 Sell
200-day SMA: 26.49 Buy
8-day EMA: 27.99 Sell
20-day EMA: 28.29 Sell
50-day EMA: 28.2 Sell
200-day EMA: 26.55 Buy

Information Services Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.18 Sell
Relative Strength Index (14 RSI): 37.72 Sell
Chaikin Money Flow: 561 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): ( - ) Buy
Bollinger Bands (100): ( - ) 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
40
Information Services (ISV.TO) is a Sell

Is Information Services a Buy or a Sell?

Information Services Stock Info

Market Cap:
506.29M
Price in USD:
27.47
Share Volume:
561

Information Services 52-Week Range

52-Week High:
30.00
52-Week Low:
19.91
Sell
40
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 $0.05 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.42 per share, and an increase next year of $0.36 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.