Top S&P 500 Stocks Based on Genetic Algorithms: Returns up to 11.02% in 3 Days

Top S&P 500 Stocks

This top S&P 500 stocks forecast is designed for investors and analysts who need predictions for the whole S&P 500. It includes 20 stocks with bullish and bearish signals and indicates the best stocks to buy:

  • Top 10 S&P 500 stocks for the long position
  • Top 10 S&P 500 stocks for the short position

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Package Name: Top S&P 500 Stocks
Recommended Positions: Long
Forecast Length: 3 Days (11/8/2020 – 11/12/2020)
I Know First Average: 6.2%
Top S&P 500 Stocks
Top S&P 500 Stocks chart

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. MAR was the highest-earning trade with a return of 11.02% in 3 Days. BKNG and NWS followed with returns of 10.04% and 9.58% for the 3 Days period. The package itself saw an overall return of 6.2%, providing investors with a 5.41% premium above the S&P 500’s return of 0.79% for the same time 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.