Commodities Price Outlook Based on Data Mining: Returns up to 8.08% in 3 Days

9 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 8.08%. PALL and CME_CL1 followed with returns of 3.64% and 2.39% for the 3 Days period. The package had an overall average return of 2.03% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 5.24% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was CME_LC1 with a return of 5.24%. SHFE_RU1, and CME_S1 had notable returns of 3.73% and 3.62%. The package had an overall average return of 2.13% 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.

Commodity Forecast Based on Algo Trading: Returns up to 6.56% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from SLV at 6.56%. PALL and ^JPLAT also performed well for this time horizon with returns of 6.33% and 4.80%, respectively. The package had an overall average return of 3.00% 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.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 4.97% in 7 Days

In this 7 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 SLV, which registered a return of 4.97%. Other notable stocks were ICE_CC1 and Cocoa with a return of 4.36% and 3.41%. The package had an overall average return of 1.91% during the period.

Commodities Price Prediction Based on Deep Learning: Returns up to 5.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from Cocoa at 5.90%. SLV and ICE_CC1 also performed well for this time horizon with returns of 4.69% and 4.36%, respectively. The package had an overall average return of 2.13% 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 Forecast Based on Algo Trading: Returns up to 11.99% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_NG1 with a return of 11.99%. ICE_KC1, and ICE_CC1 had notable returns of 5.08% and 3.28%. The package had an overall average return of 2.09% during the period.

Commodities Forecast Based on Algorithmic Trading: Returns up to 5.15% in 3 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_KC1 was the highest-earning trade with a return of 5.15% in 3 Days. Additional high returns came from Coffee and ICE_SB1, at 5.15% and 5.05% respectively. The package had an overall average return of 2.33% during the period.

Commodities Prices Prediction Based on a Self-learning Algorithm: Returns up to 4.50% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_LC1 was the top performing prediction with a return of 4.50%. ICE_SB1 and SHFE_RU1 saw outstanding returns of 3.33% and 2.37%. The package had an overall average return of 0.77% during the period.

Commodity Market Forecast Based on Genetic Algorithms: Returns up to 7.25% in 7 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ICE_SB1 was the highest-earning trade with a return of 7.25% in 7 Days. Additional high returns came from SHFE_RU1 and CME_LC1, at 2.43% and 1.60% respectively. The package had an overall average return of 0.81% during the period.

Commodities Market Prediction Based on a Self-learning Algorithm: Returns up to 3.10% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The prediction with the highest return was ^JPLAT, at 3.10%. Further notable returns came from USO and CME_CL1 at 1.61% and 1.53%, respectively. The package had an overall average return of 0.89% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 4.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from Cocoa, at 4.65%. The suggested trades for ICE_CC1 and PALL also had notable 3 Days yields of 4.63% and 2.25%, respectively. The package had an overall average return of 0.73% during the period.

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