Commodities Predictions Based on Machine Learning: Coal Returns 40.62% in 1 Month

Commodities Predictions

These commodities predictions are designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 commodities 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 Forecast
Forecast Length: 1 Month (06/28/16 – 07/28/16)
I Know First Average: 12.83%

Commodities Predictions

With an accuracy rate of 7 out of 10, the I Know First algorithm saw an average return of 12.83% for commodities within 1 month. This far surpassed the S&P 500’s return of 8.47% in the same amount of time. Coal saw an excellent return of 40.62%. Other notable choices were XME with a return of 29.16% and XPD with a return of 25.17%.

How to interpret this diagram

The Algorithm: The system is a predictive algorithm that is based on Artificial Intelligence (AI), Machine Learning (ML), and incorporating elements of Artificial Neural Networks and Genetic Algorithms. The system’s predictive analytics are self-updating, and thus live. The algorithm is a powerful resource for any investor conducting black-box trading or algotrading.

Please note-for trading decisions use the most recent forecast. Get today’s forecast and Top stock picks.

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