IBM (IBM) Offering Possible 23.76% Return Over the Next 24 Calendar Days

IBM's most recent trend suggests a bullish bias. One trading opportunity on IBM is a Bull Put Spread using a strike $160.00 short put and a strike $155.00 long put offers a potential 23.76% return on risk over the next 24 calendar days. Maximum profit would be generated if the Bull Put Spread were to expire worthless, which would occur if the stock were above $160.00 by expiration. The full premium credit of $0.96 would be kept by the premium seller. The risk of $4.04 would be incurred if the stock dropped below the $155.00 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 below 20 which suggests that the stock is in oversold territory.

To learn how to execute such a strategy while accounting for risk and reward in the context of smart portfolio management, and see how to trade live with a successful professional trader, view more here

LATEST NEWS for IBM

[$$] IBM and Twitter Forge Partnership on Data Analytics
Thu, 30 Oct 2014 05:44:15 GMT
The Wall Street Journal – IBM and Twitter announced a far-reaching alliance to apply data from the microblogging service to solve business problems.

IBM, Twitter to partner on business data analytics
Thu, 30 Oct 2014 01:59:06 GMT
Reuters – International Business Machines Corp (IBM.N) on Wednesday announced a partnership with Twitter (TWTR.N) to help shape business decisions using data collected from tweets worldwide. IBM will help businesses predict trends in the marketplace and consumer sentiment about products and brands and will train 10,000 employees to consult businesses on the best use of Twitter data. IBM chief executive Ginni Rometty has been trying to shift the 100-year-old company's focus away from commoditized hardware to higher-value cloud and data analytics products. They realize they don't have all the answers and a lot of other companies have asset offerings that can be matched well,” said Scott Kessler, analyst at S&P Capital IQ in New York.

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