Stock Picking By Using Big Data Based on AI: Over 20% Return In 7 Days

Stock Picking By Using Big Data

The 52 Week High Stocks forecast is designed for investors and analysts who need Stock picking by using big data predictions of undervalued stocks currently at their 52-weeks high price level, offering the best shares to buy. It includes 20 stocks with bullish and bearish signals and indicates the best shares to buy and sell:

  • 52 Weeks High Top 10 stocks for the long position
  • 52 Weeks High Top 10 stocks for the short position

Best Share To BuyPackage Name: 52 Weeks High Stocks
Forecast Length: 7 Days (09/20/16 – 09/27/16)
I Know First Average: 7.17%

Stock Picking By Using Big Data

The algorithm had predicted many high returns for the 7-day forecast. The highest return had come from Sarepta Therapeutics Inc. (SRPT) with 20.76% return. Additional notable returns, had come from ARC Group WorldWide Inc (ARCW) and Lee Enterprises, Incorporated (LEE) at 18.33% and 15.41%, respectively. The overall average return for this forecast was 7.17%, providing investors with premium of 6.2% over the S&P 500’s return of 0.97%, during the same period. The algorithm’s market predictions had accurately forecasted 70% of the stocks during the 7 days period.

Sarepta Therapeutics, Inc. (SRPT) is a biopharmaceutical company focusing on the discovery and development of RNA-based therapeutics for the treatment of rare, infectious, and other diseases. Its lead product candidate is Eteplirsen.  The company was founded in 1890 and is headquartered in Cambridge, United Kingdom.

Algorithmic traders utilize these daily forecasts by the I Know First market prediction system as a tool to enhance portfolio performance, verify their own analysis and act on market opportunities faster. This forecast was sent to current I Know First subscribers on September 14, 2016.

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Please note: for trading decisions use the most recent forecast. Get today’s forecast and Top stock picks.