Quick Win by the Algorithm: SGMO Surprises Analysts in its 2017 Q2 Earnings

Quick Win by the Algorithm:

On August 11th, 2017, the I Know First algorithm issued a bearish 3-day forecast for Sangamo Therapeutics, Inc. (NASDAQ:SGMO). The forecast showed a signal of 17.09 and a predictability of 0.12. As a result, in accordance with the forecast, the company’s stock produced a return of 22.11% over this period, solidifying another quick win by the I Know First algorithm.

Quick Win

Sangamo Therapeutics, Inc. (SGMO), a clinical stage biopharmaceutical company, focuses on the research, development, and commercialization of engineered DNA-binding proteins for therapeutic genome editing and gene regulation. The company features a zinc finger DNA-binding protein technology product with the ability to alter gene regulations and genome. The company was founded in the year 1995 and is headquartered in Richmond, California.


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SGMO released its second quarterly earnings on August 9, 2017. The firm exceeded analyst expectation for its earnings per share (EPS) of -$0.25. SGMO reported an EPS of -$0.17, an improvement of 26.09%. Aside from its EPS, the company reported a net loss of $12.49 million, a decrease in net loss from last year’s same quarter reporting of $18.96 million.  This is 34.12% improvement. As a small cap company, quarterly earnings surprise have the potential for higher volatility than a larger company.

Another possible factor to the company’s rising stock value was the upcoming Wedbush PacGrow Health Conference in August 15, 2017. The company’s CEO, Sandy Macrae joined more than 75 other leading healthcare companies in attendance. This conference offered not only healthcare companies to discuss the latest topics and trends in the healthcare industry, but also for them to meet with over 200 institutional investors.

Current I Know First subscribers received this bullish SGMO forecast on August 11th, 2017. 

Before making any trading decisions, consult the latest forecast as the algorithm updates predictions daily. You can use the algorithm for intra-day trading. The predictability tends to become stronger with forecasts over longer time-horizons such as the 1-month, 3-month and 1-year forecasts.