Gold Price Forecast Based on Machine Learning: Returns up to 8.35% in 3 Months

Gold Price Forecast

This Gold Price forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Forecast predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for:

  • Gold ETF (GLD) direction
  • Physical Gold (XAU) direction
  • Silver (XAG) direction

Gold Forecast
Package Name: Gold Forecast
Forecast Length: 3 Months (11/13/2019 – 2/13/2020)
I Know First Average: 7.4%
Gold Price Forecast

This forecast had correctly predicted 4 out of 4 movements. The top-performing prediction in this forecast was CME_GC1, which registered a return of 8.35%. Further notable returns came from XAU and GLD at 8.18% and 7.97%, respectively. The package saw an overall yield of 7.40%.

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.

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How to interpret this diagram

Algorithmic Gold Forecast: The table on the left is the gold and commodity forecast produced by I Know First’s algorithm. Each day, subscribers receive forecasts for six different time horizons. Note that the top 4 gold in the 1-month forecast may be different than those in the 1-year forecast. In the included table, only the relevant tickers have been included. The boxes are then 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 that if you are considering this information for trading decisions, you should use the most recent forecast made by the algorithm of I Know First. You can get today’s forecast and Top stock picks by clicking here.