Commodity Futures Based on AI: Returns up to 14.4% in 14 Days

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The prediction with the highest return was CME_NG1, at 14.4%. Additional high returns came from SHFE_RU1 and SHFE_ZN5, at 3.72% and 3.7% respectively. The package had an overall average return of 2.32% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 17.48% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. ^JPLAT was the top performing prediction with a return of 17.48%. GDX and PALL saw outstanding returns of 14.63% and 11.0%. The package had an overall average return of 2.31% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 16.11% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The greatest return came from Nickel at 16.11%. Further notable returns came from ^JPLAT and XAG at 11.82% and 7.07%, respectively. The package had an overall average return of 3.7% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 5.49% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. WOOD was the highest-earning trade with a return of 5.49% in 7 Days. CME_NG1 and Uranium also performed well for this time horizon with returns of 4.73% and 4.5%, respectively. The package had an overall average return of 2.23% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 4.9% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^XNG was the top performing prediction with a return of 4.9%. WOOD and KOL also performed well for this time horizon with returns of 4.45% and 3.74%, respectively. The package had an overall average return of 2.32% during the period.

Commodity Futures Based on Pattern Recognition: Returns up to 15.9% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The prediction with the highest return was CME_NG1, at 15.9%. The suggested trades for SHFE_RU1 and ICE_OJ1 also had notable 14 Days yields of 5.41% and 4.38%, respectively. The package had an overall average return of 3.13% during the period.

Commodity Futures Based on Stock Algorithm: Returns up to 8.23% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. CME_NG1 was the top performing prediction with a return of 8.23%. Other notable stocks were ICE_OJ1 and SHFE_ZN5 with a return of 5.93% and 3.22%. The package had an overall average return of 2.67% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 7.05% 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 greatest return came from ^XNG at 7.05%. KOL, and WOOD had notable returns of 4.69% and 4.66%. The package had an overall average return of 2.09% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 15.7% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was CME_NG1, which registered a return of 15.7%. Additional high returns came from CME_CL1 and SHFE_RU1, at 7.01% and 6.67% respectively. The package had an overall average return of 3.92% during the period.

Commodity Futures Based on Deep-Learning : Returns up to 12.91% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 7 Days time period. CME_NG1 was our best stock pick this week a return of 12.91%. Further notable returns came from ICE_B1 and CME_CL1 at 6.7% and 4.17%, respectively. The package had an overall average return of 3.82% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 5.96% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was the highest-earning trade with a return of 5.96% in 3 Days. Further notable returns came from NaturalGas and ^XNG at 5.18% and 4.76%, respectively. The package had an overall average return of 1.9% during the period.

Commodity Futures Based on Algo Trading: Returns up to 6.16% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. The top performing prediction from this package was CME_NG1 with a return of 6.16%. Additional high returns came from CME_CL1 and CME_WS1, at 2.75% and 2.75% respectively. The package had an overall average return of 1.25% during the period.

Commodity Futures Based on Machine Learning: Returns up to 13.13% 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 top-performing prediction in this forecast was CME_NG1, which registered a return of 13.13%. CME_CL1 and CME_WS1 followed with returns of 4.99% and 4.99% for the 7 Days period. The package had an overall average return of 3.41% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 15.25% in 14 Days

During the 14 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 Nickel, at 15.25%. PPLT and PALL saw outstanding returns of 10.33% and 5.19%. The package had an overall average return of 2.63% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 13.79% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. The top performing prediction from this package was Nickel with a return of 13.79%. Other notable stocks were PPLT and ^JPLAT with a return of 9.13% and 8.24%. The package had an overall average return of 3.42% during the period.

Commodity Futures Based on Stock Market Algorithm: Returns up to 9.23% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. CME_NG1 was our best stock pick this week a return of 9.23%. Further notable returns came from SHFE_RU1 and SHFE_ZN5 at 4.0% and 2.7%, respectively. The package had an overall average return of 2.63% during the period.

Commodity Futures Based on Big Data Analytics : Returns up to 6.57% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 3 Days time period. CME_NG1 was the top performing prediction with a return of 6.57%. SHFE_RU1 and ICE_OJ1 also performed well for this time horizon with returns of 4.09% and 3.48%, respectively. The package had an overall average return of 2.19% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 12.9% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The greatest return came from Nickel at 12.9%. Other notable stocks were ^JPLAT and PPLT with a return of 12.78% and 10.15%. The package had an overall average return of 5.58% during the period.