Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 4.41% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_WS1 was the top performing prediction with a return of 4.41%. CME_O1 and CME_NG1 saw outstanding returns of 3.65% and 1.24%. The package had an overall average return of 1.21% during the period.

Commodities Market Expectations Based on Machine Learning: Returns up to 6.62% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_O1 was the top performing prediction with a return of 6.62%. CME_CL1 and CME_NG1 saw outstanding returns of 6.39% and 3.93%. The package had an overall average return of 1.70% during the period.

Commodities Prices Prediction Based on a Self-learning Algorithm: Returns up to 4.50% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_LC1 was the top performing prediction with a return of 4.50%. ICE_SB1 and SHFE_RU1 saw outstanding returns of 3.33% and 2.37%. The package had an overall average return of 0.77% during the period.