Commodities Price Outlook Based on Stock Algorithm: Returns up to 15.26% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 15.26%. CME_RB1 and PALL saw outstanding returns of 10.01% and 6.27%. The package had an overall average return of 3.52% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 21.61% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.61%. Other notable trades were CME_RB1 and PALL with a return of 11.21% and 9.88%. The package had an overall average return of 5.94% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 11.21% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.21%. SHFE_RU1 and CME_CL1 also performed well for this time horizon with returns of 6.75% and 6.16%, respectively. The package had an overall average return of 3.16% during the period.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 29.82% in 1 Month

During the 1 Month 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 ^JPLAT, at 29.82%. Further notable returns came from PALL and Nickel at 12.33% and 8.87%, respectively. The package had an overall average return of 4.78% during the period

Commodity Outlook Based on Machine Learning: Returns up to 16.64% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 16.64%. Other notable stocks were PALL and Nickel with a return of 8.94% and 5.12%. The package had an overall average return of 4.90% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 11.15% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 11.15%. SHFE_RU1 and CME_CL1 saw outstanding returns of 7.64% and 4.52%. The package had an overall average return of 2.98% during the period.

Commodities Price Predictions Based on Artificial Intelligence: Returns up to 14.96% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 14.96%. PALL and CME_RB1 saw outstanding returns of 13.00% and 8.88%. The package had an overall average return of 6.93% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.64% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was SHFE_RU1 with a return of 5.64%. SHFE_CU5, and SHFE_CU9 had notable returns of 4.01% and 3.90%. The package had an overall average return of 2.10% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.39% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.39%. PALL and ^JPLAT also performed well for this time horizon with returns of 10.51% and 10.20%, respectively. The package had an overall average return of 6.13% during the period.

Commodity Outlook Based on AI: Returns up to 8.82% in 7 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 8.82%. CME_RB1, and PALL had notable returns of 6.81% and 5.17%. The package had an overall average return of 4.34% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 12.64% in 7 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 12.64%. CME_RB1, and ICE_B1 had notable returns of 10.19% and 5.44%. The package had an overall average return of 4.54% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 13.20% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 13.20%. Other notable stocks were CME_RB1 and CME_CL1 with a return of 13.00% and 8.21%. The package had an overall average return of 5.98% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 29.73% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 29.73%. Nickel and PALL saw outstanding returns of 11.90% and 11.88%. The package had an overall average return of 7.29% during the period.

Commodity Forecast Based on AI: Returns up to 13.83% in 7 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ^JPLAT was the highest-earning trade with a return of 13.83% in 7 Days. Additional high returns came from PALL and XME, at 6.40% and 5.71% respectively. The package had an overall average return of 4.42% during the period.

Commodities Price Outlook Based on Data Mining: Returns up to 8.08% in 3 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 8.08%. PALL and CME_CL1 followed with returns of 3.64% and 2.39% for the 3 Days period. The package had an overall average return of 2.03% during the period.

Commodity Market Trends Based on Artificial Intelligence: Returns up to 7.80% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ^JPLAT, at 7.80%. The suggested trades for PALL and CME_RB1 also had notable 3 Days yields of 4.60% and 4.27%, respectively. The package had an overall average return of 2.82% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 11.17% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.17%. Other notable stocks were CME_RB1 and ICE_B1 with a return of 10.83% and 8.11%. The package had an overall average return of 4.41% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 25.91% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 25.91%. CME_CL1 and Nickel also performed well for this time horizon with returns of 6.76% and 6.74%, respectively. The package had an overall average return of 4.73% during the period.