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 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 Price Forecast Based on AI: Returns up to 7.17% in 3 Days

In this 3 Days 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 NaturalGas at 7.17%. CME_NG1 and PPLT also performed well for this time horizon with returns of 6.57% and 2.84%, respectively. The package had an overall average return of 2.12% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 7.29% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was the top performing prediction with a return of 7.29%. Further notable returns came from NaturalGas and CME_NG1 at 7.21% and 7.0%, respectively. The package had an overall average return of 3.8% during the period.

Commodity Price Forecast Based on Predictive Analytics : Returns up to 9.2% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Nickel was the highest-earning trade with a return of 9.2% in 3 Days. Other notable stocks were XAG and SLV with a return of 5.43% and 4.8%. The package had an overall average return of 1.59% during the period.

Commodity Outlook Based on AI: Returns up to 14.83% in 7 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The top-performing prediction in this forecast was Nickel, which registered a return of 14.83%. Further notable returns came from XAG and ^JPLAT at 9.07% and 8.9%, respectively. The package had an overall average return of 6.12% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 7.07% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was XAG, at 7.07%. Further notable returns came from SLV and GDX at 6.98% and 5.41%, respectively. The package had an overall average return of 2.25% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 4.32% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. XAG was the top performing prediction with a return of 4.32%. Additional high returns came from SLV and XAU, at 3.12% and 1.73% respectively. The package had an overall average return of 1.0% during the period.

Commodity Futures Based on Machine Learning: Returns up to 3.43% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Days time period. CME_CL1 was the highest-earning trade with a return of 3.43% in 3 Days. ICE_B1 and SHFE_RU1 also performed well for this time horizon with returns of 2.59% and 1.2%, respectively. The package had an overall average return of 0.53% during the period.

Commodity Price Forecast Based on Deep-Learning : Returns up to 6.18% in 7 Days

10 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. ^XNG saw monumental price change of 6.18% in just 7 Days. Uranium, and CME_NG1 also had excellent performances with returns of 5.3% and 4.56% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

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