Commodity Price Forecast Based on Predictive Analytics: Returns up to 6.08% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The highest trade return came from PALL, at 6.08%. Other notable stocks were Cocoa and ICE_CC1 with a return of 3.13% and 3.13%. The package had an overall average return of 1.43% during the period.

Commodity Price Forecast Based on Predictive Analytics: Returns up to 16.55% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. PALL was the highest-earning trade with a return of 16.55% in 7 Days. PPLT and ICE_SB1 also performed well for this time horizon with returns of 4.36% and 2.7%, respectively. The package had an overall average return of 2.61% during the period.

Commodity Outlook Based on Data Mining: Returns up to 16.55% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was PALL, which registered a return of 16.55%. PPLT, and ICE_SB1 had notable returns of 4.36% and 2.7%. The package had an overall average return of 2.55% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 9.88% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 3 Days time period. The top performing prediction from this package was PALL with a return of 9.88%. ICE_CC1, and Cocoa had notable returns of 4.75% and 4.75%. The package had an overall average return of 1.98% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.32% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from PALL, at 6.32%. PPLT and Cocoa also performed well for this time horizon with returns of 4.28% and 3.86%, respectively. The package had an overall average return of 1.77% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 2.9% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 2.9% in 3 Days. PPLT and CME_CL1 saw outstanding returns of 2.47% and 2.22%. The package had an overall average return of 0.91% during the period.

Commodity Outlook Based on Big Data: Returns up to 46.96% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^JPLAT was the highest-earning trade with a return of 46.96% in 3 Months. Other notable stocks were ICE_KC1 and PALL with a return of 28.23% and 15.12%. The package had an overall average return of 11.33% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 46.47% in 3 Months

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 46.47%. Other notable stocks were ICE_KC1 and PALL with a return of 30.97% and 15.08%. The package had an overall average return of 10.57% during the period.

Commodity Price Forecast Based on AI: Returns up to 47.02% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 47.02%. Additional high returns came from ICE_KC1 and WOOD, at 31.32% and 14.44% respectively. The package had an overall average return of 10.53% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 1.41% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was GDX, which registered a return of 1.41%. Other notable stocks were PPLT and Aluminum with a return of 0.69% and 0.65%. The package had an overall average return of 0.11% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 55.23% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The prediction with the highest return was ^JPLAT, at 55.23%. Further notable returns came from PALL and XME at 22.41% and 5.15%, respectively. The package had an overall average return of 4.73% during the period.

Commodity Forecast Based on Algo Trading: Returns up to 51.56% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The prediction with the highest return was ^JPLAT, at 51.56%. Other notable stocks were PALL and WOOD with a return of 19.45% and 11.09%. The package had an overall average return of 6.45% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.32% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. CME_W1 was the top performing prediction with a return of 4.32%. Further notable returns came from PALL and ICE_KC1 at 3.16% and 2.21%, respectively. The package had an overall average return of 1.02% during the period.

Commodity Outlook Based on AI: Returns up to 49.35% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ^JPLAT, at 49.35%. Other notable stocks were XAG and Nickel with a return of 20.77% and 9.61%. The package had an overall average return of 10.34% during the period.

Best Commodity ETFs Based on Artificial Intelligence: Returns up to 13.01% in 3 Months

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. Nickel was our best stock pick this week a return of 13.01%. PPLT and SLV saw outstanding returns of 9.97% and 8.23%. The package had an overall average return of 4.95% during the period.

Best Commodity ETFs Based on AI: Returns up to 17.34% in 3 Months

In this 3 Months forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The highest trade return came from Nickel, at 17.34%. The suggested trades for PPLT and SLV also had notable 3 Months yields of 12.35% and 11.39%, respectively. The package had an overall average return of 6.06% during the period.

Commodity Price Forecast Based on AI: Returns up to 16.26% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top performing prediction from this package was ^JPLAT with a return of 16.26%. Zinc, and WOOD had notable returns of 9.74% and 7.73%. The package had an overall average return of 4.62% during the period.

Commodity Price Forecast Based on AI: Returns up to 14.68% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ^JPLAT was our best stock pick this week a return of 14.68%. Zinc and WOOD saw outstanding returns of 10.23% and 9.09%. The package had an overall average return of 4.36% during the period.

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