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 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 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 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 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.

Commodity Price Forecast Based on Deep Learning: Returns up to 1.41% in 3 Days

7 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 GDX, which registered a return of 1.41%. Other notable stocks were PPLT and Aluminum with a return of 0.69% and 0.65%. The package had an overall average return of 0.11% during the period.

Commodity Futures Based on Big Data: Returns up to 1.43% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The highest trade return came from ICE_B1, at 1.43%. Other notable stocks were CME_RB1 and CME_WS1 with a return of 1.18% and 1.0%. The package had an overall average return of 0.53% during the period.

Commodity Futures Based on Machine Learning: Returns up to 4.17% 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. The prediction with the highest return was ICE_KC1, at 4.17%. ICE_B1 and CME_RB1 saw outstanding returns of 2.44% and 2.37%. The package had an overall average return of 1.51% during the period.

Commodity Futures Based on Deep-Learning: Returns up to 1.6% in 3 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 ICE_B1, which registered a return of 1.6%. CME_RB1, and CME_WS1 had notable returns of 1.24% and 1.11%. The package had an overall average return of 0.73% during the period.

Commodity Outlook Based on Big Data: Returns up to 11.02% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The prediction with the highest return was Coffee, at 11.02%. ICE_KC1 and ^JPLAT also performed well for this time horizon with returns of 7.94% and 7.53%, respectively. The package had an overall average return of 2.68% during the period.

Commodity Futures Based on Stock Market Algorithm: Returns up to 5.46% in 7 Days

During the 7 Days forecasted period several market futures picks in the Package that saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The highest trade return came from ICE_KC1, at 5.46%. Further notable returns came from SHFE_RU1 and ICE_SB1 at 3.24% and 3.05%, respectively. The package had an overall average return of 1.5% during the very same investment forecasting time period.

Commodity Outlook Based on Big Data: Returns up to 3.07% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was PALL, at 3.07%. Other notable stocks were Coffee and XME with a return of 2.42% and 2.4%. The package had an overall average return of 1.06% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 3.07% in 3 Days

Commodity Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Outlook with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package Name: Commodities […]

Commodity Price Forecast Based on AI: Returns up to 3.07% in 3 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. PALL was the top performing prediction with a return of 3.07%. Coffee and XME saw outstanding returns of 2.42% and 2.4%. The package had an overall average return of 1.23% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.32% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. CME_W1 was the top performing prediction with a return of 4.32%. Further notable returns came from PALL and ICE_KC1 at 3.16% and 2.21%, respectively. The package had an overall average return of 1.02% during the period.