IBM's most recent trend suggests a bullish bias. One trading opportunity on IBM is a Bull Put Spread using a strike $175.00 short put and a strike $165.00 long put offers a potential 6.84% return on risk over the next 31 calendar days. Maximum profit would be generated if the Bull Put Spread were to expire worthless, which would occur if the stock were above $175.00 by expiration. The full premium credit of $0.64 would be kept by the premium seller. The risk of $9.36 would be incurred if the stock dropped below the $165.00 long put strike price.
The 5-day moving average is moving up which suggests that the short-term momentum for IBM is bullish and the probability of a rise in share price is higher if the stock starts trending.
The 20-day moving average is moving up which suggests that the medium-term momentum for IBM is bullish.
The RSI indicator is at 68.94 level which suggests that the stock is neither overbought nor oversold at this time.
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LATEST NEWS for IBM
Voices: An anti-tech backlash in San Francisco
Wed, 19 Feb 2014 23:36:29 GMT
AT&T, IBM to Support “Internet of Things”
Wed, 19 Feb 2014 20:15:30 GMT
IBM Predictive Analytics to Detect Patients at Risk for Heart Failure
Wed, 19 Feb 2014 19:34:22 GMT
noodls – ARMONK, N.Y. – 19 Feb 2014: IBM (NYSE: IBM) today announced that Virginia health system Carilion Clinic has indentified 8,500 patients at risk for developing heart failure in a pilot project that could …
Doctors’ Notes Turn into EMR Insights with Natural Language Processing Software
Wed, 19 Feb 2014 19:34:21 GMT
noodls – ARMONK, N.Y. – 19 Feb 2014: IBM (NYSE: IBM) today announced that its content analysis software now allows doctors using Epic's electronic medical record (EMR) software to accurately incorporate their notes …
IBM Predictive Analytics to Detect Patients at Risk for Heart Failure
Wed, 19 Feb 2014 19:30:00 GMT
PR Newswire – ARMONK, N.Y., Feb. 19, 2014 /PRNewswire/ — IBM (NYSE: IBM) today announced that Virginia health system Carilion Clinic has identified 8,500 patients at risk for developing heart failure in a pilot project that could lead to early intervention and better care for these patients. The pilot was completed in collaboration with IBM, Epic and Carilion Clinic. The results were achieved through predictive modeling of data in Carilion Clinic's electronic medical record (EMRs), including “unstructured” data such as clinicians' notes and discharge documents that are not often analyzed. Using IBM's natural language processing technology to analyze and understand these notes in the context of the EMR, the inclusion of unstructured data provides a more complete and accurate understanding of each patient.
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