1. The 30-day commodities forecast based on machine learning showed a strong average return of 2.09% and an impressive 90% accuracy. The top performing commodity was Aluminum, earning 7.04% for investors. 2. I Know First's algorithm produced a year-long commodity price outlook based on data mining covering the month ending February 25. The package averaged a return of 36.74% with an accuracy rate of 100%. B1 was the top earner, bringing in 62.86% to investors. 3. The 14 day forecast for gold based on predictive analytics showed a highest return of 2.84% from XAG with the package averaging 2.33%. The forecast showed a 100% accuracy rate for the algorithm. 4. This gold forecast showed 100% accuracy over the course of a month. The package brought in an average return of 5.17% for investors. The top earners were GLD and XAU, increasing by 5.17% over the course of the 30 days.
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