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.

Commodities Forecast Based on Artificial Intelligence: Returns up to 7.60% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 7.60%. GDX, and MOO had notable returns of 6.24% and 1.81%. The package had an overall average return of 1.76% during the period.

Commodity ETFs Prediction Based on Machine Learning: Returns up to 6.78% in 7 Days

During the 7 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 PALL, at 6.78%. Further notable returns came from GDX and GRU at 5.39% and 4.10%, respectively. The package had an overall average return of 2.47% during the period.

Commodities Price Prediction Based on Machine Learning: Returns up to 5.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from USO, at 5.65%. The suggested trades for CME_CL1 and GDX also had notable 3 Days yields of 5.38% and 5.04%, respectively. The package had an overall average return of 2.15% 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.

Commodities ETFs Predictions Based on Artificial Intelligence: Returns up to 5.01% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GRU, at 5.01%. The suggested trades for WEAT and GDX also had notable 7 Days yields of 3.87% and 2.01%, respectively. Finally, positive returns resulted from positions on IYM and MOO gaining 1.95% and 1.80%, respectively, over the same forecast horizon. The package had an overall average return of 2.05% 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.

Commodities Outlook Based on Deep-Learning : Returns up to 4.53% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ICE_OJ1 was the top performing prediction with a return of 4.53%. CME_RB1 and CME_LC1 saw outstanding returns of 1.99% and 1.08%. The package had an overall average return of 0.53% during the period.

Commodity ETFs Outlook Based on Pattern Recognition: Returns up to 3.30% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ^CEX with a return of 3.30%. IYM, and Cocoa had notable returns of 2.97% and 2.66%. The package had an overall average return of 1.17% during the period.

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.

Commodity Outlook Based on AI: Returns up to 6.57% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from Nickel, at 6.57%. The suggested trades for WOOD and KOL also had notable 7 Days yields of 5.35% and 3.21%, respectively. The package had an overall average return of 2.64% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.85% 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 WOOD, which registered a return of 5.85%. Other notable stocks were CME_CL1 and XME with a return of 4.07% and 3.55%. The package had an overall average return of 2.83% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 4.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from CME_CL1, at 4.28%. The suggested trades for FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodities Price Prediction Based on Stock Prediction Algorithm: Returns up to 4.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from CME_CL1, at 4.28%. The suggested trades for FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodity Forecast Based on Stock Prediction Algorithm: Returns up to 9.82% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from CME_NG1 at 9.82%. Uranium and IYM also performed well for this time horizon with returns of 3.64% and 1.52%, respectively. The package had an overall average return of 1.88% during the period.

Commodities Market Prices Based on Artificial Intelligence: Returns up to 17.52% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 17.52%. PALL, and CME_NG1 had notable returns of 8.98% and 7.65%. The package had an overall average return of 3.68% during the period.

Commodities Prices Expectations Based on Genetic Algorithms: Returns up to 24.76% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 24.76%. ICE_B1, and CME_NG1 had notable returns of 7.98% and 3.57%. The package had an overall average return of 3.96% during the period.

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