Commodities Price Prediction Based on Artificial Intelligence: Returns up to 20.11% in 1 Month

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 20.11%. PALL and CME_CL1 followed with returns of 7.84% and 6.35% for the 1 Month period. The package had an overall average return of 3.68% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 13.02% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 13.02%. ^JPLAT and Nickel also performed well for this time horizon with returns of 8.69% and 7.20%, respectively. The package had an overall average return of 1.86% during the period.

Commodity Market Trends Based on Machine Learning: Returns up to 25.14% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 25.14%. PALL and CME_CL1 also performed well for this time horizon with returns of 12.20% and 3.67%, respectively. The package had an overall average return of 3.68% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 12.37% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 12.37%. ^JPLAT and PALL followed with returns of 10.90% and 4.86% for the 14 Days period. The package had an overall average return of 2.17% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 29.96% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from ^JPLAT, at 29.96%. The suggested trades for PALL and Nickel also had notable 1 Month yields of 13.67% and 4.41%, respectively. The package had an overall average return of 3.74% during the period.

Commodities Price Outlook Based on Stock Algorithm: Returns up to 15.26% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 15.26%. CME_RB1 and PALL saw outstanding returns of 10.01% and 6.27%. The package had an overall average return of 3.52% during the period.

Commodity Market Review: Energy Continues to Climb with Gasoline Up 11.21%

Commodity Market Review: Summary: Gasoline (CME_RB1) and Crude Oil (CME_CL1) are both on the rise with increases of 21% and 6.16% respectively over the past 14 days. Platinum and Palladium Dominate the Commodity Exchanges. These commodities have seen a remarkable rise over the past few months and do not seem to be slowing down. Source: […]

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 21.61% 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 top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.61%. Other notable trades were CME_RB1 and PALL with a return of 11.21% and 9.88%. The package had an overall average return of 5.94% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 11.21% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.21%. SHFE_RU1 and CME_CL1 also performed well for this time horizon with returns of 6.75% and 6.16%, respectively. The package had an overall average return of 3.16% during the period.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 29.82% 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 29.82%. Further notable returns came from PALL and Nickel at 12.33% and 8.87%, respectively. The package had an overall average return of 4.78% during the period

Commodity Outlook Based on Machine Learning: Returns up to 16.64% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 16.64%. Other notable stocks were PALL and Nickel with a return of 8.94% and 5.12%. The package had an overall average return of 4.90% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 11.15% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 11.15%. SHFE_RU1 and CME_CL1 saw outstanding returns of 7.64% and 4.52%. The package had an overall average return of 2.98% during the period.

Commodities Price Predictions Based on Artificial Intelligence: Returns up to 14.96% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 14.96%. PALL and CME_RB1 saw outstanding returns of 13.00% and 8.88%. The package had an overall average return of 6.93% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.64% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was SHFE_RU1 with a return of 5.64%. SHFE_CU5, and SHFE_CU9 had notable returns of 4.01% and 3.90%. The package had an overall average return of 2.10% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.39% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.39%. PALL and ^JPLAT also performed well for this time horizon with returns of 10.51% and 10.20%, respectively. The package had an overall average return of 6.13% during the period.

Commodities Market Review: Strengthening Auto Industry Sends Platinum Higher

Commodities Market Review: Strengthening Auto Industry Sends Platinum Higher On February 15th, the price of Platinum hovered around 785 U.S. dollars per ounce. Over the past week, the price has steadily risen to over 850 dollars per ounce. Platinum is a precious metal that is commonly used for expensive jewelry, although it has other applications […]

Commodity Outlook Based on AI: Returns up to 8.82% in 7 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 8.82%. CME_RB1, and PALL had notable returns of 6.81% and 5.17%. The package had an overall average return of 4.34% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 12.64% in 7 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 12.64%. CME_RB1, and ICE_B1 had notable returns of 10.19% and 5.44%. The package had an overall average return of 4.54% during the period.

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