Computer Task Price on September 28, 2017

Computer Task Group Incorporated -- USA Stock  

USD 8.75  0.06  0.69%

Use Computer Task Group Incorporated price on September 28, 2017 together with your stock portfolios to enhance returns of your portfolios and to determine Stock optimization strategy that fits your criteria.  

Computer Task Valuation Near September 28, 2017

 Open High Low Close Volume
  5.21    5.42    5.21    5.32    29,208  
  5.30    5.44    5.28    5.31    41,325  
  5.35    5.57    5.35    5.36    31,442  
Backtest Computer Task  |  Computer Task History  |  Computer Task Valuation   PreviousNext  
September 28, 2017
Open Value
Closing Value
Target Price Odds
 Above  Below  

Computer Task Trading Date Momentum on September 28, 2017

On September 29 2017 Computer Task Group Incorporated was traded for 5.36  at the closing time. Highest Computer Task's price during the trading hours was 5.57  and the lowest price during the day was  5.35 . The net volume was 31.4 K. The overall trading history on 29 of September contributed to the next trading period price escalation. The overall trading delta to the next next day price was 0.94% . The overall trading delta to current price is 0.19% .

Computer Task GroupFundamentals Correlations and Trends

Did you try this?

Run Pattern Recognition Now

Pattern Recognition

Use different Pattern Recognition models to time the market across multiple global exchanges
Hide  View All  NextLaunch Pattern Recognition

Price Boundaries

Computer Task Period Price Range
September 28, 2017
0.01  0.19%

Thematic Opportunities

Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
Explore Thematic Ideas
Explore Investing Ideas  
Check also Trending Equities. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.