Commodity Futures Based on Big Data: Returns up to 21.51% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from SHFE_RU1 at 21.51%. ICE_SB1 and SHFE_RB5 also performed well for this time horizon with returns of 13.38% and 9.07%, respectively. The package had an overall average return of 6.74% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 14.23% 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 prediction with the highest return was ^JPLAT, at 14.23%. Other notable stocks were PALL and ICE_SB1 with a return of 12.29% and 4.02%. The package had an overall average return of 2.3% during the period.

Commodity Futures Based on Stock Market Algorithm: Returns up to 2.77% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The prediction with the highest return was SHFE_RU1, at 2.77%. Additional high returns came from CME_WS1 and CME_CL1, at 2.6% and 2.6% respectively. The package had an overall average return of 1.27% during the period.

Commodity Futures Based on AI: Returns up to 1.79% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The prediction with the highest return was LIFFE_EMA1, at 1.79%. Other notable stocks were SHFE_RB3 and CME_LC1 with a return of 1.55% and 1.44%. The package had an overall average return of 0.54% during the period.

Commodity Futures Based on Genetic Algorithms: Returns up to 3.44% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. ICE_B1 was the top performing prediction with a return of 3.44%. CME_WS1 and CME_CL1 followed with returns of 2.69% and 2.69% for the 7 Days period. The package had an overall average return of 0.92% during the period.

Commodity Outlook Based on AI: Returns up to 16.77% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from ^JPLAT, at 16.77%. PALL, and ICE_B1 had notable returns of 12.09% and 6.03%. The package had an overall average return of 4.13% during the period.

Commodity Futures Based on Algo Trading: Returns up to 4.54% in 14 Days

8 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 CME_WS1, which registered a return of 4.54%. CME_CL1 and ICE_B1 also performed well for this time horizon with returns of 4.54% and 3.8%, respectively. The package had an overall average return of 2.0% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 3.62% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. ^XNG was the highest-earning trade with a return of 3.62% in 7 Days. ICE_B1 and CME_CL1 followed with returns of 3.36% and 2.58% for the 7 Days period. The package had an overall average return of 0.58% 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 Algo Trading: Returns up to 4.32% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. CME_CL1 was our best stock pick this week a return of 4.32%. ICE_B1 and ^XNG also performed well for this time horizon with returns of 3.72% and 3.38%, respectively. The package had an overall average return of 0.81% 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 Futures Based on Deep-Learning: Returns up to 3.1% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 6 out of 10 movements. ICE_B1 was the top performing prediction with a return of 3.1%. CME_WS1 and CME_CL1 saw outstanding returns of 3.06% and 2.99%. The package had an overall average return of 1.28% 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 Futures Based on Big Data: Returns up to 12.66% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 1 Month time period. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 12.66%. Further notable returns came from ICE_B1 and ICE_CT1 at 7.16% and 7.16%, respectively. The package had an overall average return of 4.54% during the period.

Commodity Futures Based on Stock Algorithm: Returns up to 5.47% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. ICE_KC1 was our best stock pick this week a return of 5.47%. Further notable returns came from ICE_B1 and CME_WS1 at 3.09% and 1.92%, respectively. The package had an overall average return of 0.99% during the period.

Commodity Futures Based on Algo Trading: Returns up to 4.74% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from ICE_B1 at 4.74%. CME_WS1 and CME_CL1 saw outstanding returns of 2.44% and 2.44%. The package had an overall average return of 1.19% 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 Futures Based on Machine Learning: Returns up to 3.05% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. ICE_B1 was our best stock pick this week a return of 3.05%. Additional high returns came from CME_RB1 and CME_WS1, at 2.43% and 2.12% respectively. The package had an overall average return of 1.11% during the period.

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