Baidu (BIDU) Offering Possible 30.21% Return Over the Next 12 Calendar Days

Baidu's most recent trend suggests a bearish bias. One trading opportunity on Baidu is a Bear Call Spread using a strike $232.50 short call and a strike $237.50 long call offers a potential 30.21% return on risk over the next 12 calendar days. Maximum profit would be generated if the Bear Call Spread were to expire worthless, which would occur if the stock were below $232.50 by expiration. The full premium credit of $1.16 would be kept by the premium seller. The risk of $3.84 would be incurred if the stock rose above the $237.50 long call strike price.

The 5-day moving average is moving down which suggests that the short-term momentum for Baidu is bearish and the probability of a decline in share price is higher if the stock starts trending.

The 20-day moving average is moving down which suggests that the medium-term momentum for Baidu is bearish.

The RSI indicator is at 28.52 level which suggests that the stock is neither overbought nor oversold at this time.

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 Baidu

China's Baidu makes first investment in Israeli start-up
Sun, 07 Dec 2014 09:07:46 GMT
Reuters – JERUSALEM (Reuters) – China's dominant search engine Baidu Inc (BIDU.O) has made its first venture into Israel's booming start-up sector, investing $3 million in video capture firm Pixellot. Pixellot developed …

China's Baidu makes first investment in Israeli start-up
Sun, 07 Dec 2014 08:56:30 GMT
Reuters – China's dominant search engine Baidu Inc has made its first venture into Israel's booming start-up sector, investing $3 million in video capture firm Pixellot. Pixellot developed a system of unmanned cameras …

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Baidu Develops Prototype for Smart Bike: DuBike
Thu, 04 Dec 2014 22:00:02 GMT
Zacks – China search giant Baidu Inc. (BIDU) has developed a prototype for a smart bike in collaboration with the design department at Tsinghua University.

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