Commodities Forecast Based on Stock Market Algorithm: Returns up to 6.20% in 14 Days

The algorithm correctly predicted 9 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 6.20% in 14 Days. Additional high returns came from ICE_B1 and SHFE_RB2, at 3.33% and 3.16% respectively. The package had an overall average return of 2.07% during the period.

Commodities Prediction Based on Big Data Analytics : Returns up to 2.03% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 2.03%. ^CEX and ICE_CC1 saw outstanding returns of 1.66% and 1.34%. The package had an overall average return of 0.68% during the period.

Commodity Price Outlook Based on Data Mining: Returns up to 5.88% in 14 Days

During the 14 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 CME_RB1, at 5.88%. Further notable returns came from SHFE_RB2 and ICE_B1 at 4.92% and 3.39%, respectively. The package had an overall average return of 0.51% during the period.

Commodities Price Forecast Based on Pattern Recognition: Returns up to 1.72% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. SHFE_RB2 was the highest-earning trade with a return of 1.72% in 3 Days. Additional high returns came from ICE_KC1 and SHFE_RB5, at 1.27% and 0.83% respectively. The package had an overall average return of 0.74% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 6.89% in 7 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 6.89%. SHFE_RB5, and CME_RB1 had notable returns of 5.94% and 2.19%. The package had an overall average return of 1.84% during the period.

Commodities Forecast Based on AI: Returns up to 10.91% 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. SHFE_RB2 was the top performing prediction with a return of 10.91%. CME_RB1 and CME_CL1 saw outstanding returns of 8.36% and 7.74%. The package had an overall average return of 5.37% during the period.

Commodities Prediction Based on Algo Trading: Returns up to 5.96% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 5.96%. CME_RB1, and SHFE_RB5 had notable returns of 5.01% and 4.99%. The package had an overall average return of 2.40% during the period.

Commodities Prediction Based on AI: Returns up to 7.30% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from CME_RB1, at 7.30%. The suggested trades for SHFE_RB2 and ICE_CC1 also had notable 7 Days yields of 6.10% and 3.82%, respectively. The package had an overall average return of 2.34% during the period.

Commodity Price Prediction Based on Data Mining: Returns up to 5.10% 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 CME_RB1, at 5.10%. Further notable returns came from SHFE_RB2 and SHFE_RB5 at 4.51% and 4.33%, respectively. The package had an overall average return of 2.23% during the period.

Commodities Forecast Based on Big Data: Returns up to 7.08% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_WS1 was the top performing prediction with a return of 7.08%. CME_CL1 and SHFE_RB2 saw outstanding returns of 7.08% and 6.76%. The package had an overall average return of 4.72% during the period.

Commodities Prediction Based on Stock Prediction Algorithm: Returns up to 4.51% 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 SHFE_RB2, at 4.51%. Further notable returns came from SHFE_RB5 and SHFE_RB3 at 4.51% and 4.04%, respectively. The package had an overall average return of 2.05% during the period.

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 Price Forecast Based on Predictive Analytics: Returns up to 6.91% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_CC1, at 6.91%. The suggested trades for CME_CL1 and CME_WS1 also had notable 7 Days yields of 6.37% and 6.37%, respectively. The package had an overall average return of 4.11% 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 Outlook Based on Data Mining: Returns up to 8.08% in 3 Days

9 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 8.08%. PALL and CME_CL1 followed with returns of 3.64% and 2.39% for the 3 Days period. The package had an overall average return of 2.03% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 5.24% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was CME_LC1 with a return of 5.24%. SHFE_RU1, and CME_S1 had notable returns of 3.73% and 3.62%. The package had an overall average return of 2.13% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 9.06% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 9.06%. The suggested trades for ^JPLAT and SLV also had notable 1 Month yields of 5.01% and 3.75%, respectively. The package had an overall average return of 2.39% during the period.

Commodity Forecast Based on Algo Trading: Returns up to 6.56% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from SLV at 6.56%. PALL and ^JPLAT also performed well for this time horizon with returns of 6.33% and 4.80%, respectively. The package had an overall average return of 3.00% during the period.

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