Machine Learning Trading: Up To 88.89% Return In 1 Month

Machine Learning Trading

Using stock market prediction algorithm to forecast energy stocks: This Energy Stocks forecast is designed for investors and analysts who need predictions of the best-performing stocks for the whole Energy Industry (See Industry Package). It includes 20 stocks with bullish and bearish signals and indicates the best tech stocks to buy:

  • Top 10 energy stocks for the long position
  • Top 10 energy stocks for the short position

Package Name: Energy Stocks
Forecast Length: 30 Days (03/29/16 – 04/29/16)
I Know First Average: 36.82%

Machine Learning Trading

Cliffs Natural Resources Inc.(CLF) grew by 88.89% in just 1-month, was the top performing stock in the Energy Stocks forecast for that time period. Another top performing stock was DNR that grew by 71.56%,  with an astonishing return of ten out of the ten stocks that increased in accordance with the algorithm’s prediction. CDE and VALE also offered strong returns of 48.90% and 37.29%, Within the predicted 30-days it performed very well in the Energy Package. The average return of the forecast was 36.82%, which was much greater than the S&P 500 return of 1.39% during the same time horizon.

Cliffs Natural Resources Inc., a mining and natural resources company, produces and supplies iron ore. The company operates five iron ore mines in Michigan and Minnesota; and Koolyanobbing iron ore mining complex located in Western Australia, which produces lump and fines iron ore. It also own two iron ore mines in Eastern Canada. Recently published earnings on the 29th of April.

Algorithmic traders utilise 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