Gold Price Predictions Based on Algorithmic Trading: Returns up to 7.85% in 3 Months

Gold Price Predictions

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Predictions 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 (11/10/2019 – 2/10/2020)
I Know First Average: 6.56%
Gold Price Predictions

This forecast had correctly predicted 4 out of 4 movements. The top-performing prediction in this forecast was GLD, which registered a return of 7.85%. Further notable returns came from CME_GC1 and XAG at 7.23% and 5.68%, respectively. The package saw an overall yield of 6.56%.

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.