Commodities Forecast Based on AI: Returns up to 5.96% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The prediction with the highest return was ^JPLAT, at 5.96%. Further notable returns came from ICE_OJ1 and CME_RB1 at 2.88% and 1.80%, respectively. The package had an overall average return of 1.56% during the period.

Commodities Price Prediction Based on Stock Market Algorithm: Returns up to 24.69% in 1 Month

In this 1 Month 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 24.69%. Other notable stocks were CME_RB1 and PALL with a return of 19.70% and 9.92%. The package had an overall average return of 6.47% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 21.38% in 1 Month

In this 1 Month 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 21.38%. Other notable stocks were CME_RB1 and PALL with a return of 18.11% and 8.36%. The package had an overall average return of 5.72% during the period.

Commodities Price Forecast Based on a Self-learning Algorithm: Returns up to 57.09% in 3 Months

8 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 57.09%. PALL and GDX followed with returns of 22.66% and 10.83% for the 3 Months period. The package had an overall average return of 6.63% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 20.76% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from ^JPLAT, at 20.76%. The suggested trades for PALL and Nickel also had notable 1 Month yields of 10.90% and 6.23%, respectively. The package had an overall average return of 4.46% during the period.

Commodity Market Trends Based on a Self-learning Algorithm: Returns up to 17.05% in 14 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. CME_RB1 was the highest-earning trade with a return of 17.05% in 14 Days. Additional high returns came from CME_WS1 and CME_CL1, at 4.97% and 4.97% respectively. The package had an overall average return of 2.71% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 17.49% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 5 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 17.49%. ^JPLAT and ICE_B1 also performed well for this time horizon with returns of 7.40% and 2.81%, respectively. The package had an overall average return of 2.01% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 20.11% 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 20.11%. Further notable returns came from PALL and CME_CL1 at 7.84% and 6.35%, respectively. The package had an overall average return of 3.38% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_RB1, at 24.56%. The suggested trades for CME_CL1 and ICE_B1 also had notable 1 Month yields of 6.35% and 5.86%, respectively. The package had an overall average return of 4.27% during the period.

Commodities Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. CME_RB1 was the highest-earning trade with a return of 24.56% in 1 Month. Additional high returns came from CME_CL1 and ICE_B1, at 6.35% and 5.86% respectively. The package had an overall average return of 4.27% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 20.11% in 1 Month

7 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 20.11%. PALL and CME_CL1 followed with returns of 7.84% and 6.35% for the 1 Month period. The package had an overall average return of 3.68% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 13.02% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 13.02%. ^JPLAT and Nickel also performed well for this time horizon with returns of 8.69% and 7.20%, respectively. The package had an overall average return of 1.86% during the period.

Commodity Market Trends Based on Machine Learning: Returns up to 25.14% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 25.14%. PALL and CME_CL1 also performed well for this time horizon with returns of 12.20% and 3.67%, respectively. The package had an overall average return of 3.68% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 12.37% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 12.37%. ^JPLAT and PALL followed with returns of 10.90% and 4.86% for the 14 Days period. The package had an overall average return of 2.17% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 29.96% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from ^JPLAT, at 29.96%. The suggested trades for PALL and Nickel also had notable 1 Month yields of 13.67% and 4.41%, respectively. The package had an overall average return of 3.74% during the period.

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.