Commodity Price Forecast Based on Deep-Learning: Returns up to 13.88% in 1 Month

Commodity Price Forecast

This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Price Forecast with bullish or bearish 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
Forecast Length: 1 Month (6/29/21 – 7/29/21)
I Know First Average: 5.75%
Commodity Price Forecast
Commodity Price Forecast chart

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. ^BCOMNG2 was the highest-earning trade with a return of 13.88% in 1 Month. ^BCOMNG3T and ^BCOMNG3 also performed well for this time horizon with returns of 13.25% and 13.25%, respectively. The package had an overall average return of 5.75% 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 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.

Signal: This indicator represents the predicted movement direction/trend; not a percentage or specific target price. The signal strength indicates how much the current price deviates from what the system considers an equilibrium or “fair” price.

Predictability: This value is obtained by calculating the correlation between the current prediction and the actual asset movement for each discrete time period. The algorithm then averages the results of all the prediction points, while giving more weight to recent performance. As the machine keeps learning, the values of P generally increase.
Please note-for trading decisions use the most recent forecast. Get today’s forecast and Top stock picks.