Commodity Price Outlook Based on Genetic Algorithms: Returns up to 6.91% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was Cocoa, at 6.91%. Further notable returns came from ICE_CC1 and CME_CL1 at 6.91% and 6.37%, respectively. The package had an overall average return of 3.86% during the period.

Commodities Prediction Based on Artificial Intelligence: Returns up to 11.01% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.01%. Other notable stocks were CME_CL1 and CME_RB1 with a return of 4.47% and 4.41%. The package had an overall average return of 1.98% during the period.

Commodity Price Prediction Based on Algo Trading: Returns up to 4.32% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 4.32%. ICE_CT1 and ^JPLAT saw outstanding returns of 2.95% and 2.05%. The package had an overall average return of 1.49% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.15% in 14 Days

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 9.15%. CME_RB1 and ^APAPR.T followed with returns of 7.10% and 6.85% for the 14 Days period. The package had an overall average return of 2.79% during the period.

Commodities Price Outlook Based on AI: Returns up to 3.87% 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_RB1 was the top performing prediction with a return of 3.87%. ^APAPR.T and ICE_CT1 saw outstanding returns of 3.72% and 3.27%. The package had an overall average return of 1.02% during the period.

Commodities Outlook Based on Artificial Intelligence: Returns up to 5.57% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was CME_RB1 with a return of 5.57%. ICE_OJ1, and CME_CL1 had notable returns of 5.27% and 5.20%. The package had an overall average return of 2.50% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 12.86% in 14 Days

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 12.86%. CME_RB1 and PALL followed with returns of 8.44% and 6.25% for the 14 Days period. The package had an overall average return of 3.74% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.89% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 9.89%. PALL, and CME_CL1 had notable returns of 4.62% and 3.94%. The package had an overall average return of 2.59% during the period.

Commodity Price Outlook Based on Algo Trading: Returns up to 9.72% in 14 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ^JPLAT was the highest-earning trade with a return of 9.72% in 14 Days. Additional high returns came from CME_RB1 and PALL, at 8.24% and 4.30% respectively. The package had an overall average return of 2.39% during the period.

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.47% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from ^JPLAT at 5.47%. CME_CL1 and ^APAPR.T also performed well for this time horizon with returns of 3.05% and 2.01%, respectively. The package had an overall average return of 1.41% 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 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 Markets Analytics Based on AI: Returns up to 18.50% in 1 Month

During the 1 Month forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ICE_B1 which registered a return of 14.55%. For the long positions the largest growth was registered by CME_NG1 with a return of 18.50%, during the same period. The package itself, had an overall average return of 2.37%, in the long position. With regards to the short position, the package had an overall average return of 9.86%. The I Know First Algorithm accurately forecasted 5 out of 10 commodities, for the long position, and 9 out of 10 commodities, for the short position for this 1 Month forecasted period.

Commodities Market Expectations Based on Artificial Intelligence: Returns up to 17.16% 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 17.16%. PALL and ICE_B1 also performed well for this time horizon with returns of 13.23% and 8.54%, respectively. The package had an overall average return of 3.93% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 23.72% 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 ^JPLAT at 23.72%. PALL and ^APAPR.T also performed well for this time horizon with returns of 10.01% and 3.96%, respectively. The package had an overall average return of 3.36% during the period.

Commodities Market Outlook Based on Machine Learning: Returns up to 17.17% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ^JPLAT, at 17.17%. Further notable returns came from ^APAPR.T and PALL at 8.38% and 7.51%, respectively. The package had an overall average return of 4.33% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 16.69% 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. ^JPLAT was the top performing prediction with a return of 16.69%. PALL and ^APAPR.T saw outstanding returns of 8.19% and 6.13%. The package had an overall average return of 3.35% during the period.

Commodity Predictions Based on Machine Learning: Returns up to 19.96% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ^JPLAT, at 19.96%. The suggested trades for PALL and CME_HG1 also had notable 7 Days yields of 8.35% and 7.17%, respectively. The package had an overall average return of 4.58% during the period.

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