Best ETF To Buy Based on Algo Trading: Returns up to 30.87% in 14 Days

Best ETF To Buy

This ETF forecast is part of the ETFs Package, as one of I Know First’s quantitative investment solutions. We determine the top ETF to buy 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 (7/21/2020 – 8/4/2020)
I Know First Average: 7.95%
Best ETF To Buy
Best ETF To Buy chart

This ETFs Forecast Package forecast had correctly predicted 9 out of 10 stock movements. The prediction with the highest return was SLV, at 30.87%. Additional high returns came from NUGT and GDXJ, at 20.77% and 11.61% respectively. This algorithmic forecast package presented an overall return of 7.95% versus S&P 500’s performance of 1.68% providing a market premium of 6.27%.

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.