Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 209.59% in 1 Year

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 209.59%. Other notable stocks were PALL and GDX with a return of 52.36% and 40.22%. The package had an overall average return of 22.94% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 197.47% in 1 Year

During the 1 Year forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. ^JPLAT was the highest-earning trade with a return of 197.47% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 51.93% and 35.86%, respectively. The package had an overall average return of 21.41% 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.

Commodity Outlook Based on Genetic Algorithms: Returns up to 203.26% in 1 Year

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. ^JPLAT was the highest-earning trade with a return of 203.26% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 45.0% and 31.25%, respectively. The package had an overall average return of 20.82% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 53.9% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The greatest return came from ^JPLAT at 53.9%. PALL and XME saw outstanding returns of 21.89% and 7.02%. The package had an overall average return of 7.43% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 8.67% 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 top performing prediction from this package was ^XNG with a return of 8.67%. Other notable stocks were ICE_B1 and CME_CL1 with a return of 2.02% and 1.91%. The package had an overall average return of 1.74% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 10.03% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. ^XNG was the highest-earning trade with a return of 10.03% in 7 Days. The suggested trades for ICE_B1 and CME_CL1 also had notable 7 Days yields of 4.43% and 4.19%, respectively. The package had an overall average return of 1.52% 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 Deep Learning: Returns up to 217.4% in 1 Year

For this 1 Year forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 217.4%. The suggested trades for PALL and GDX also had notable 1 Year yields of 47.19% and 33.19%, respectively. The package had an overall average return of 19.62% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 7.07% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The greatest return came from ^XNG at 7.07%. Other notable stocks were ^JPLAT and ICE_KC1 with a return of 5.41% and 2.12%. The package had an overall average return of 2.11% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 9.13% in 7 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The greatest return came from ^JPLAT at 9.13%. ^XNG and CME_CL1 followed with returns of 8.29% and 2.87% for the 7 Days period. The package had an overall average return of 2.75% 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 Big Data Analytics: Returns up to 214.09% in 1 Year

For this 1 Year forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ^JPLAT, at 214.09%. PALL, and GDX had notable returns of 52.3% and 34.99%. The package had an overall average return of 21.23% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 201.1% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The prediction with the highest return was ^JPLAT, at 201.1%. Other notable stocks were PALL and GDX with a return of 54.03% and 36.13%. The package had an overall average return of 19.97% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 55.23% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The prediction with the highest return was ^JPLAT, at 55.23%. Further notable returns came from PALL and XME at 22.41% and 5.15%, respectively. The package had an overall average return of 4.73% during the period.

Commodity Price Forecast Based on AI: Returns up to 24.62% 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 in this forecast was Coffee, which registered a return of 24.62%. Additional high returns came from ICE_KC1 and ^JPLAT, at 19.81% and 16.87% respectively. The package had an overall average return of 6.13% during the period.