Commodity Price Forecast Based on AI: Returns up to 3.9% 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. CME_RB1 was the top performing prediction with a return of 3.9%. Further notable returns came from WOOD and PHAU.MI at 2.97% and 2.1%, respectively. The package had an overall average return of 1.34% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.76% 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 highest trade return came from PALL, at 6.76%. The suggested trades for Cocoa and ICE_CC1 also had notable 14 Days yields of 5.62% and 4.57%, respectively. The package had an overall average return of 2.28% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 5.68% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top-performing prediction in this forecast was PALL, which registered a return of 5.68%. Cocoa and ICE_OJ1 saw outstanding returns of 4.72% and 3.88%. The package had an overall average return of 1.98% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 3.9% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The prediction with the highest return was CME_RB1, at 3.9%. WOOD and PHAU.MI saw outstanding returns of 2.97% and 1.99%. The package had an overall average return of 1.33% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 3.69% in 3 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The top performing prediction from this package was CME_RB1 with a return of 3.69%. Other notable stocks were ICE_CC1 and ICE_SB1 with a return of 3.03% and 1.61%. The package had an overall average return of 1.51% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 3.28% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 8 out of 10 movements. ICE_SB1 was the top performing prediction with a return of 3.28%. KOL and ^CEX saw outstanding returns of 1.87% and 1.47%. The package had an overall average return of 1.02% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 4.76% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was ICE_SB1, at 4.76%. WOOD and ^CEX saw outstanding returns of 3.47% and 1.56%. The package had an overall average return of 1.03% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 7.54% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ICE_CC1 was our best stock pick this week a return of 7.54%. ICE_OJ1 and NLR saw outstanding returns of 3.81% and 1.1%. The package had an overall average return of 1.07% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 6.07% 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. ICE_CC1 was our best stock pick this week a return of 6.07%. ^CEX and IYM saw outstanding returns of 2.27% and 1.95%. The package had an overall average return of 0.94% during the period.

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 Futures Based on Big Data: Returns up to 21.51% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from SHFE_RU1 at 21.51%. ICE_SB1 and SHFE_RB5 also performed well for this time horizon with returns of 13.38% and 9.07%, respectively. The package had an overall average return of 6.74% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 14.23% 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 14.23%. Other notable stocks were PALL and ICE_SB1 with a return of 12.29% and 4.02%. The package had an overall average return of 2.3% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 41.25% in 3 Months

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 41.25%. PALL and WOOD also performed well for this time horizon with returns of 26.26% and 14.89%, respectively. The package had an overall average return of 9.21% during the period.

Commodity Outlook Based on AI: Returns up to 16.77% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from ^JPLAT, at 16.77%. PALL, and ICE_B1 had notable returns of 12.09% and 6.03%. The package had an overall average return of 4.13% during the period.