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 Futures Based on Deep Learning: Returns up to 13.32% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. SHFE_RU1 was the highest-earning trade with a return of 13.32% in 3 Months. Additional high returns came from SHFE_RB5 and SHFE_RB2, at 9.95% and 5.21% respectively. The package had an overall average return of 3.82% 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 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 Futures Based on AI: Returns up to 36.5% in 3 Months

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 36.5%. SHFE_RU1, and CME_S1 had notable returns of 14.59% and 3.92%. The package had an overall average return of 4.85% during the period.

Commodity Futures Based on Deep-Learning : Returns up to 6.51% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from SHFE_RU1, at 6.51%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 5.58% and 5.58%, respectively. The package had an overall average return of 1.26% 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 Futures Based on Machine Learning: Returns up to 6.68% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. SHFE_RU1 was the top performing prediction with a return of 6.68%. Additional high returns came from SHFE_RB3 and CME_CL1, at 5.22% and 4.31% respectively. The package had an overall average return of 1.22% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 7.26% 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 prediction with the highest return was ^XNG, at 7.26%. Additional high returns came from ICE_KC1 and Coffee, at 6.68% and 4.13% respectively. The package had an overall average return of 2.88% during the period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 11.34% in 7 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from Coffee at 11.34%. ^JPLAT and PALL followed with returns of 7.85% and 4.8% for the 7 Days period. The package had an overall average return of 4.03% during the period.

Commodity Futures Based on Pattern Recognition: Returns up to 28.21% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ICE_KC1 with a return of 28.21%. Additional high returns came from SHFE_RU1 and SHFE_RB5, at 17.2% and 10.58% respectively. The package had an overall average return of 6.75% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 9.98% 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. Coffee was the top performing prediction with a return of 9.98%. ICE_KC1, and ^JPLAT had notable returns of 9.86% and 8.49%. The package had an overall average return of 4.0% during the period.

Commodity Futures Based on AI: Returns up to 16.64% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top-performing prediction in this forecast was SHFE_RU1, which registered a return of 16.64%. SHFE_CU9 and SHFE_CU5 also performed well for this time horizon with returns of 3.72% and 3.29%, respectively. The package had an overall average return of 1.91% during the period.

Commodity Futures Based on Big Data: Returns up to 20.65% 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. The highest trade return came from ICE_KC1, at 20.65%. Further notable returns came from SHFE_RU1 and SHFE_RB5 at 15.59% and 9.25%, respectively. The package had an overall average return of 4.61% during the period.

Commodity Outlook Based on AI: Returns up to 15.7% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The greatest return came from Coffee at 15.7%. Further notable returns came from ICE_KC1 and ^JPLAT at 14.13% and 14.1%, respectively. The package had an overall average return of 6.28% during the period.