Quant Trading Based on Algorithms: Return up to 55.52% in 1 Month

Quant Trading

Using stock market prediction algorithm to forecast energy stocks: This Energy Stocks forecast is designed for investors and analysts who need stock 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: 1 Month (04/03/16 – 05/03/16)
I Know First Average: 24.85%

quant trading

The machine-learning algorithm correctly predicted all 10 stocks in the long position for this 1-month forecast. CLF, PES, and CDE were our big earners in the long position with returns of 55.52%, 38.89%, and 37.23%. The forecasts returned on average 24.85% outperforming the S&P 500’s loss of -0.45%.

Cliffs Natural Resources Inc. is a mining and natural resources company. The Company is a supplier of iron ore pellets to the North American steel industry from its mines and pellet plants located in Michigan and Minnesota. The Company’s segments include U.S. Iron Ore and Asia Pacific Iron Ore.

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