Consumer Discretionary Stocks Based on Pattern Recognition: Returns up to 11.0% in 7 Days

Consumer Discretionary Stocks

The Consumer Discretionary Stocks Package is designed for investors and analysts who need predictions of the best performing stocks for the whole Consumer Industry. It includes 20 stocks with bullish and bearish signals.

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

Package Name: Consumer Stocks
Recommended Positions: Long
Forecast Length: 7 Days (11/19/24 – 11/26/24)
I Know First Average: 5.47%
Consumer Discretionary Stocks
Consumer Discretionary Stocks chart

10 out of 10 stock prices in this forecast for the Consumer Stocks Package moved as predicted by the algorithm. The greatest return came from FVRR at 11.0%. MGNI and EAT followed with returns of 6.71% and 6.26% for the 7 Days period. The package’s overall average return was 5.47%, providing investors with a 3.30% premium over the S&P 500’s return of 2.17% 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.