Commodities Price Forecast Based on Artificial Intelligence: Returns up to 9.80% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The prediction with the highest return was ICE_CC5, at 9.80%. Further notable returns came from ICE_CC1 and CME_SM1 at 5.26% and 3.68%, respectively. Finally, positive returns came from CME_SM4 and CME_S1 at 3.40% and 2.94%, respectively. The package had an overall average return of 2.38% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 6.21% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_W1 was the top performing prediction with a return of 6.21%. Cocoa and WEAT saw outstanding returns of 5.44% and 4.15%. ICE_CC1 and ICE_SB2 followed with returns of 3.62% and 3.61%, respectively. Next, ICE_CT1 and CME_NG1 showed the returns of 1.17% and 0.45% for the 3 Days period, respectively. The package had an overall average return of 2.19% during the period.

Automated Commodities Trading Based on a Self-learning Algorithm: Returns up to 3.15% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 10 out of 10 stock movements. ICE_CC1 was the top performing prediction with a return of 3.15%. ICE_CC5 and CME_SM1 saw outstanding returns of 3.03% and 2.55%. The package had an overall average return of 1.52% during the period.

Algo Trading Based on Machine Learning: Returns up to 12.89% in 14 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ICE_CC1 was the highest-earning trade with a return of 12.89% in 14 Days. Additional high returns came from CME_SM1 and CME_SM4, at 8.02% and 6.61% respectively. The package had an overall average return of 3.40% during the period.