Stock Market Predictions Based On a Predictive Algorithm: 87% Return in 30 days

Stock Market Predictions

Stock market predictions: Our fundamental package is one which includes our trading algorithm’s forecasts for bullish stocks to buy that answer a number of fundamental criteria. The package includes forecasts for stocks with high and low of each of the four basic valuation indicators of quantitative trading based on a self-learning algorithm:

  • P/E (price to earnings ratio)
  • PEG (price/earnings to growth ratio)
  • price-to-book ratio
  • price-to-sales ratio

Our algorithms help you find best opportunities for both long and short positions in stocks within each fundamental screen.

fundamentalsPackage Name: Fundamental – Low PEG Ratio Stocks
Forecast Length: 1 Month (07/26/16– 08/26/16)
I Know First Average: 29.51%

Stock market predictions

The highest returning stock for the 1 month period was Clayton Williams Energy, Inc. (CWEI), which had a return of 87.24%. Additional notable returns had come from Clean Diesel Technologies, Inc. (CDTi) and Digital Power Corporation EXACT Sciences Corporation (EXAS) at 55.13% and 54.01%, respectively. The package’s overall average return was 29.51%, providing investors with a 29.48% premium, over the SP500’s return of 0.03%, during the same period. 9 out of 10 stocks in the long position for this forecast increased as correctly predicted by the I Know First algorithm.

Clayton Williams Energy, Inc. (CWEI) and its subsidiaries explore for and produce oil and natural gas. The Company’s activities are primarily located in Texas, Louisiana, and other southern states.

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 algorithmic traders.

How to interpret this diagram

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