Commodity ETFs Based on Deep Learning: Returns up to 7.60% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from PALL at 7.60%. GDX and XME also performed well for this time horizon with returns of 6.24% and 5.43%, respectively. The package had an overall average return of 2.08% during the period.

Commodity Market Predictions Based on Artificial Intelligence: 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 8 out 10 returns. The prediction with the highest return was PALL, at 5.96%. Further notable returns came from ^JPLAT and GDX at 5.64% and 3.87%, respectively. Finally, positive returns resulted from positions on ICE_SB1 and XME gaining 2.82% and 1.43%, respectively, over the same forecast horizon.  The package had an overall average return of 1.98% during the period.

Commodity Market Prediction Based on Artificial Intelligence: Returns up to 4.71% in 3 Days

10 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 4.71%. ICE_SB1 and ICE_KC1 followed with returns of 2.38% and 1.87% for the 3 Days period. Finally, positive returns came from long positions on CEX and MOO resulting in gains of 1.76% and 1.58% over the same investment time horizon. The package had an overall average return of 1.78% during the period.

Commodity ETFs Market Based on Stock Algorithm: Returns up to 9.58% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 movements. The top performing prediction from this package was FCG with a return of 9.58%. XME, and WOOD had notable returns of 7.91% and 7.51%. The package had an overall average return of 3.58% during the period.

Commodity ETFs Prediction Based on Stock Algorithm: Returns up to 4.23% in 14 Days

6 out of 10 top commodity ETF picks from the algorithm decreased as predicted for this short-term forecasting period. XME saw monumental growth of 4.23% in just 14 Days. PPLT, and PALL also had excellent performances with returns of 3.74% and 3.15% respectively.

Commodity ETFs Outlook Based on Predictive Analytics: Returns up to 4.21% 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. Cocoa was the top performing prediction with a return of 4.21%. WOOD and USO saw outstanding returns of 3.98% and 3.92%. The package had an overall average return of 2.03% during the period.

Commodity Forecast Based on Deep Learning: Returns up to 4.39% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from Cocoa, at 4.39%. The suggested trades for ICE_CC1 and Zinc also had notable 3 Days yields of 3.10% and 3.03%, respectively. The package had an overall average return of 1.34% 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 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 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 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.

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.

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