DAX Forecast Based on Machine Learning: Returns up to 112.21% in 3 Months

DAX Forecast

Best German Stocks: This DAX forecast is part of the By Country Package, as one of I Know First’s algorithmic trading tools. The full forecast includes daily predictions for a total of 20 stocks with bullish and bearish signals:

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

Package Name: By Country – German Stocks
Recommended Positions: Long
Forecast Length: 3 Months (1/13/21 – 4/13/21)
I Know First Average: 16.07%
DAX Forecast
DAX Forecast chart

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this By Country – German Stocks Package for the 3 Months time period. UM3.F was the top-performing prediction with a return of 112.21%. RF.F and LR.F saw outstanding returns of 21.62% and 17.62%. The package had an overall average return of 16.07%, providing investors with a 6.67% premium over the BORSE DAX’s return of 9.4% during the 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.