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 Genetic Algorithms: Returns up to 35.61% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.61%. Further notable returns came from PALL and WOOD at 31.11% and 10.37%, respectively. The package had an overall average return of 6.95% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 36.82% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 8 out of 10 movements. The greatest return came from ^JPLAT at 36.82%. Additional high returns came from PALL and WOOD, at 25.83% and 16.07% respectively. The package had an overall average return of 7.69% 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.

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 Prediction Algorithm: Returns up to 44.7% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 44.7% in 3 Months. ICE_KC1, and PALL had notable returns of 25.41% and 17.76%. The package had an overall average return of 9.63% during the period.

Commodity Outlook Based on Big Data: Returns up to 46.96% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^JPLAT was the highest-earning trade with a return of 46.96% in 3 Months. Other notable stocks were ICE_KC1 and PALL with a return of 28.23% and 15.12%. The package had an overall average return of 11.33% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 17.58% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. ^JPLAT was the top performing prediction with a return of 17.58%. Additional high returns came from ICE_KC1 and Coffee, at 9.4% and 8.95% respectively. The package had an overall average return of 5.12% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 46.47% in 3 Months

9 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 46.47%. Other notable stocks were ICE_KC1 and PALL with a return of 30.97% and 15.08%. The package had an overall average return of 10.57% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 3.09% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 3.09% in 7 Days. Other notable stocks were XME and ICE_CT1 with a return of 1.49% and 1.39%. The package had an overall average return of 0.25% during the period.

Commodity Price Forecast Based on AI: Returns up to 47.02% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 47.02%. Additional high returns came from ICE_KC1 and WOOD, at 31.32% and 14.44% respectively. The package had an overall average return of 10.53% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 12.96% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. ICE_KC1 was the top performing prediction with a return of 12.96%. Other notable stocks were Coffee and ICE_B1 with a return of 11.57% and 6.72%. The package had an overall average return of 4.34% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 16.32% in 1 Month

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 16.32%. The suggested trades for ICE_KC1 and Coffee also had notable 1 Month yields of 14.52% and 13.39%, respectively. The package had an overall average return of 7.38% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 16.49% in 1 Month

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from ^JPLAT at 16.49%. ICE_KC1, and Coffee had notable returns of 12.91% and 11.89%. The package had an overall average return of 5.16% during the period.