Commodity Price Forecast Based on Predictive Analytics: Returns up to 201.61% in 1 Year

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was ^JPLAT, at 201.61%. Additional high returns came from PALL and GDX, at 54.3% and 38.5% respectively. The package had an overall average return of 33.34% 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 Machine Learning: Returns up to 204.07% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 204.07%. Further notable returns came from PALL and GDX at 51.84% and 37.18%, respectively. The package had an overall average return of 33.19% 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 Outlook Based on Deep Learning: Returns up to 2.9% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 2.9% in 3 Days. PPLT and CME_CL1 saw outstanding returns of 2.47% and 2.22%. The package had an overall average return of 0.91% 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 ETFs Based on Pattern Recognition: Returns up to 53.94% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The prediction with the highest return was PALL, at 53.94%. GDX and Nickel also performed well for this time horizon with returns of 38.83% and 31.36%, respectively. The package had an overall average return of 21.98% 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 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 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 Price Forecast Based on Deep Learning: Returns up to 1.41% in 3 Days

7 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 GDX, which registered a return of 1.41%. Other notable stocks were PPLT and Aluminum with a return of 0.69% and 0.65%. The package had an overall average return of 0.11% 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.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 16.49% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the highest-earning trade with a return of 16.49% in 1 Month. Coffee and ICE_KC1 also performed well for this time horizon with returns of 11.89% and 9.34%, respectively. The package had an overall average return of 4.8% 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 Big Data: Returns up to 13.41% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from ICE_KC1, at 13.41%. Further notable returns came from ^JPLAT and XME at 12.53% and 7.81%, respectively. The package had an overall average return of 6.34% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 5.66% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ICE_KC1 was the top performing prediction with a return of 5.66%. Further notable returns came from ^JPLAT and Copper at 4.88% and 3.69%, respectively. The package had an overall average return of 2.61% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 16.75% in 1 Month

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The highest trade return came from ^JPLAT, at 16.75%. Other notable stocks were ICE_KC1 and Coffee with a return of 14.27% and 12.43%. The package had an overall average return of 7.26% during the period.