ETF Forecast Based on Machine Learning: Returns up to 28.81% in 14 Days
ETF Forecast
This ETF Forecast 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: 14 Days (4/24/26 – 5/8/26)
I Know First Average: 11.63%


10 out of 10 stock prices in this forecast for the ETFs Forecast Package moved as predicted by the algorithm. TQQQ was our best stock pick with a return of 28.81%. The suggested trades for SOXX and EWT also had notable 14 Days yields of 17.98% and 14.09%, respectively. The package’s overall average return was 11.63%, providing investors with a 7.54% premium over the S&P 500’s return of 4.09% 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.










