Equity Research Based on Big Data: Returns up to 62.41% in 1 Month

Equity Research

This Retail Stocks forecast is designed for investors and analysts who need equity research predictions for the best stocks to invest in the retail estate sector (see Retail Stocks Package). It includes 20 stocks with bullish and bearish signals:

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

Package Name: Retail Stocks
Recommended Positions: Long
Forecast Length: 1 Month (5/3/2020 – 6/3/2020)
I Know First Average: 26.65%
Equity Research
Equity Research chart

The algorithm correctly predicted 10 out 10 of the suggested trades in the Retail Stocks Package for this 1 Month forecast. The top-performing prediction in this forecast was MIK, which registered a return of 62.41%. LL, and TACO had notable returns of 57.33% and 32.02%. The package’s overall average return was 26.65%, providing investors with a 16.33% premium over the S&P 500’s return of 10.32% during the same period.

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.

How to interpret this diagram

Algorithmic Stock Forecast: The table on the left is a stock forecast produced by I Know First’s algorithm. Each day, subscribers receive forecasts for six different time horizons. Note that the top 10 stocks in the 1-month forecast may be different than those in the 1-year forecast. In the included table, only the relevant stocks have been included. The boxes are arranged according to their respective signal and predictability values (see below for detailed definitions). A green box represents a positive forecast, suggesting a long position, while a red represents a negative forecast, suggesting a short position.

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