Commodities Price Forecast Based on Artificial Intelligence: Returns up to 15.52% in 3 Months

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Zinc was our best stock pick this week a return of 15.52%. PALL and ^CEX followed with returns of 9.24% and 7.85% for the 3 Months period. The package had an overall average return of 4.90% 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.

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 Forecast Based on Artificial Intelligence: Returns up to 11.17% 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. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.17%. Other notable stocks were CME_RB1 and ICE_B1 with a return of 10.83% and 8.11%. The package had an overall average return of 4.41% during the period.

Commodities Markets Trends Based on Algorithmic Trading: Returns up to 10.83% in 3 Days

8 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 10.83%. ICE_B1 and ^JPLAT followed with returns of 7.71% and 5.68% for the 3 Days period. The package had an overall average return of 2.89% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.85% in 1 Month

In this 1 Month 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 11.85%. Other notable stocks were PALL and SLV with a return of 8.19% and 6.27%. The package had an overall average return of 4.46% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 9.06% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 9.06%. The suggested trades for ^JPLAT and SLV also had notable 1 Month yields of 5.01% and 3.75%, respectively. The package had an overall average return of 2.39% during the period.

Commodities Outlook Based on Genetic Algorithms: Returns up to 9.33% 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 PALL at 9.33%. SLV and Cocoa also performed well for this time horizon with returns of 6.77% and 6.12%, respectively. The package had an overall average return of 4.38% during the period.

Commodities Price Prediction Based on Algo Trading: Returns up to 8.41% in 14 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 8.41%. SLV, and ^JPLAT had notable returns of 7.21% and 4.68%. The package had an overall average return of 4.02% during the period.

Commodity Outlook Based on Machine Learning: Returns up to 6.38% in 7 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was Cocoa with a return of 6.38%. ICE_CC1, and SLV had notable returns of 6.03% and 5.68%. The package had an overall average return of 3.48% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 4.49% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_CC1 was the highest-earning trade with a return of 4.49% in 3 Days. Additional high returns came from Cocoa and SLV, at 4.49% and 4.08% respectively. The package had an overall average return of 2.66% during the period.

Commodity Outlook Based on Big Data Analytics : Returns up to 6.03% 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 greatest return came from ICE_CC1 at 6.03%. Cocoa and SLV also performed well for this time horizon with returns of 6.03% and 4.95%, respectively. The package had an overall average return of 3.06% during the period.

Commodities Price Forecast Based on Genetic Algorithms: Returns up to 6.96% in 3 Days

Commodities Price Forecast This Commodities Price Forecast Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodities Price 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 […]

Commodities Price Based on AI: Returns up to 10.83% in 14 Days

During the 14 Days 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 PALL, at 10.83%. Further notable returns came from GDX and CME_S1 at 8.32% and 5.08%, respectively. The package had an overall average return of 1.70% during the period.

Commodities Prices Analysis Based on Data Mining: Returns up to 9.09% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ^XNG which registered a return of 6.36%. For the long positions the largest growth was registered by PALL with a return of 9.09%, during the same period. The package itself, had an overall average return of 2.13%, in the long position. With regards to the short position, the package had an overall average return of 2.06%. The I Know First Algorithm accurately forecasted 8 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 14 Days forecasted period.

Commodity Markets Expectations Based on Algorithmic Trading: Returns up to 2.69% in 3 Days

During the 3 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from Coffee which registered a return of 3.40%. For the long positions the largest growth was registered by PALL with a return of 2.69%, during the same period. The package itself, had an overall average return of 0.81%, in the long position. With regards to the short position, the package had an overall average return of 1.07%. The I Know First Algorithm accurately forecasted 9 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 3 Days forecasted period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.68% 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 greatest return came from PALL at 7.68%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 4.92% and 3.68%, respectively. The package had an overall average return of 2.36% during the period.

Commodities Prices Forecast Based on Stock Prediction Algorithm: Returns up to 46.91% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 46.91%. NaturalGas and ^JPLAT saw outstanding returns of 40.91% and 32.16%. The package had an overall average return of 9.56% during the period.

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