Commodities Forecast Based on Deep Learning: Returns up to 12.11% in 7 Days

Commodities Forecast

This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodities forecast with bullish signals indicating which are best to buy:

  • Top 10 commodities for the long position
  • Top 10 commodities for the short position

Package Name: Commodities
Recommended Positions: Long & Short
Forecast Length: 7 Days (05/26/2019 – 06/03/2019)
I Know First Average: 3.95% (Long) & 2.50% (short)

During the 7 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. For the long positions the largest growth was registered by ICE_KC1 with a return of 12.11%, during the same period. For the short positions the largest growth was registered by USO with a return of 10.14%, during the same period. The package itself, had an overall average return of 3.95%, in the long position. The package itself, had an overall average return of 2.50%, in the short position. The I Know First Algorithm accurately forecasted 7 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 7 Days forecasted 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. Please note-for trading decisions use the most recent forecast. Get today‚Äôs forecast and Top stock picks.

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How to interpret this diagram

Algorithmic Commodity Forecast: The table on the left is the commodity forecast produced by I Know First’s algorithm. Each day, subscribers receive forecasts for six different time horizons. Note that the top 10 commodities 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.

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