Baidu (BIDU) Offering Possible 33.33% Return Over the Next 15 Calendar Days

Baidu's most recent trend suggests a bullish bias. One trading opportunity on Baidu is a Bull Put Spread using a strike $222.50 short put and a strike $217.50 long put offers a potential 33.33% return on risk over the next 15 calendar days. Maximum profit would be generated if the Bull Put Spread were to expire worthless, which would occur if the stock were above $222.50 by expiration. The full premium credit of $1.25 would be kept by the premium seller. The risk of $3.75 would be incurred if the stock dropped below the $217.50 long put strike price.

The 5-day moving average is moving up which suggests that the short-term momentum for Baidu 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 Baidu is bullish.

The RSI indicator is at 62.25 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

[$$] Baidu Hires Top Microsoft Executive
Mon, 08 Sep 2014 05:27:03 GMT
The Wall Street Journal – Chinese search giant Baidu has lured away Zhang Yaqin, a top Microsoft executive in China, in the latest setback for the U.S.-based company there.

Alibaba discloses size of IPO
Fri, 05 Sep 2014 21:13:00 GMT
CNBC – The FM traders share the best way to play the Alibaba IPO.

UPDATE: Time To Take (some) Profits In China ADR’s
Fri, 05 Sep 2014 19:26:30 GMT

Alibaba to Plan New York IPO Roadshow Kickoff Sept. 8
Fri, 05 Sep 2014 17:44:48 GMT
Bloomberg – Sept. 5 (Bloomberg) — Alibaba plans to start meeting investors in New York on Sept. 8, ahead of its initial public offering later this month. DCM Co-Founder and General Partner David Chao and Bloomberg’s …

Baidu says its massive deep learning system is nearly complete
Thu, 04 Sep 2014 23:17:43 GMT

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