Best ETF To Buy Based on Artificial Neural Networks: Returns up to 37.27% in 1 Month
Best ETF To Buy
This Best ETF To Buy forecast is part of the ETFs Package, as one of I Know First’s quantitative investment solutions. We determine the top ETFs by screening our database daily using our advanced algorithm. The full ETFs Package includes a daily forecast for a total of 20 ETFs with bullish and bearish signals:
- Top 10 ETFs for the long position
- Top 10 ETFs for the short position
Package Name: ETFs Forecast
Recommended Positions: Long
Forecast Length: 1 Month (5/1/26 – 6/2/26)
I Know First Average: 13.11%


I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this ETFs Forecast Package for the 1 Month time period. The highest trade return came from TQQQ, at 37.27%. XLK and VGT saw outstanding returns of 24.27% and 21.89%. The package had an overall average return of 13.11%, providing investors with a premium of 7.55% over the S&P 500’s return of 5.56% 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.










