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 Pattern Recognition: Returns up to 41.45% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. PALL was the top performing prediction with a return of 41.45%. Additional high returns came from ^JPLAT and WOOD, at 28.23% and 5.64% respectively. The package had an overall average return of 5.76% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 42.7% in 3 Months

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. PALL was our best stock pick this week a return of 42.7%. The suggested trades for ^JPLAT and WOOD also had notable 3 Months yields of 29.68% and 6.71%, respectively. The package had an overall average return of 8.02% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 41.11% in 3 Months

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. The greatest return came from ^JPLAT at 41.11%. PALL and WOOD saw outstanding returns of 38.56% and 9.78%. The package had an overall average return of 10.02% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 10.73% 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 top performing prediction from this package was ^JPLAT with a return of 10.73%. The suggested trades for PALL and ICE_B1 also had notable 1 Month yields of 9.97% and 8.71%, respectively. The package had an overall average return of 4.12% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 11.63% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 11.63%. Additional high returns came from PALL and ICE_B1, at 8.22% and 8.22% respectively. The package had an overall average return of 3.77% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 19.67% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^JPLAT was the top performing prediction with a return of 19.67%. PALL, and ICE_SB1 had notable returns of 7.29% and 4.39%. The package had an overall average return of 4.91% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 3.33% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top-performing prediction in this forecast was ICE_B1, which registered a return of 3.33%. Additional high returns came from Copper and CME_CL1, at 2.57% and 2.54% respectively. The package had an overall average return of 0.97% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 9.9% in 14 Days

10 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 9.9%. The suggested trades for ICE_KC1 and Coffee also had notable 14 Days yields of 9.2% and 4.91%, respectively. The package had an overall average return of 4.47% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 13.46% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. ^JPLAT was the highest-earning trade with a return of 13.46% in 14 Days. The suggested trades for ICE_KC1 and Coffee also had notable 14 Days yields of 7.61% and 7.59%, respectively. The package had an overall average return of 4.83% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 7.26% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The prediction with the highest return was ^XNG, at 7.26%. Additional high returns came from ICE_KC1 and Coffee, at 6.68% and 4.13% respectively. The package had an overall average return of 2.88% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 11.77% in 14 Days

his 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 from this package was ICE_KC1 with a return of 11.77%. Coffee and PALL also performed well for this time horizon with returns of 9.59% and 5.21%, respectively. The package had an overall average return of 4.07% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 13.2% 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. Coffee was the top performing prediction with a return of 13.2%. ICE_KC1 and ^JPLAT also performed well for this time horizon with returns of 12.69% and 8.73%, respectively. The package had an overall average return of 5.13% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.21% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. Coffee was the highest-earning trade with a return of 9.21% in 7 Days. ^JPLAT and ICE_KC1 also performed well for this time horizon with returns of 8.02% and 7.49%, respectively. The package had an overall average return of 3.82% during the period.

Commodity Price Forecast Based on AI: Returns up to 6.77% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from Coffee at 6.77%. ^JPLAT and ICE_KC1 also performed well for this time horizon with returns of 3.62% and 2.7%, respectively. The package had an overall average return of 2.28% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.26% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The highest trade return came from Coffee, at 9.26%. ICE_SB1 and ICE_KC1 saw outstanding returns of 4.94% and 4.77%. The package had an overall average return of 1.96% during the period.

Commodity Outlook Based on Big Data: Returns up to 2.84% in 3 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The highest trade return came from Coffee, at 2.84%. Further notable returns came from XME and ICE_B1 at 1.76% and 1.58%, respectively. The package had an overall average return of 1.11% during the period.

Commodity Outlook Based on Big Data: Returns up to 16.03% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was Coffee, at 16.03%. ^JPLAT and XME also performed well for this time horizon with returns of 8.51% and 5.78%, respectively. The package had an overall average return of 1.8% during the period.

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