Commodities Prediction Based on Stock Prediction Algorithm: Returns up to 4.51% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was SHFE_RB2, at 4.51%. Further notable returns came from SHFE_RB5 and SHFE_RB3 at 4.51% and 4.04%, respectively. The package had an overall average return of 2.05% during the period.

Commodity Price Outlook Based on Genetic Algorithms: Returns up to 6.91% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was Cocoa, at 6.91%. Further notable returns came from ICE_CC1 and CME_CL1 at 6.91% and 6.37%, respectively. The package had an overall average return of 3.86% during the period.

Commodities Prediction Based on Big Data: Returns up to 12.20% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_CL1 with a return of 12.20%. CME_WS1, and CME_RB1 had notable returns of 12.20% and 10.04%. The package had an overall average return of 3.61% during the period.

Commodity Price Outlook Based on Stock Prediction Algorithm: Returns up to 12.20% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The top-performing prediction in this forecast was CME_CL1, which registered a return of 12.20%. Other notable stocks were CME_RB1 and ^JPLAT with a return of 10.04% and 8.34%. The package had an overall average return of 3.31% during the period.

Commodities Price Forecast Based on Predictive Analytics: Returns up to 6.91% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_CC1, at 6.91%. The suggested trades for CME_CL1 and CME_WS1 also had notable 7 Days yields of 6.37% and 6.37%, respectively. The package had an overall average return of 4.11% during the period.

Commodity Prediction Based on Deep Learning: Returns up to 6.84% 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 CME_CL1, at 6.84%. Further notable returns came from CME_WS1 and CME_O1 at 6.84% and 3.23%, respectively. The package had an overall average return of 1.29% during the period.

Commodities Forecast Based on Pattern Recognition: Returns up to 12.77% in 1 Month

In this 1 Month 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 CME_RB1, which registered a return of 12.77%. Other notable stocks were CME_CL1 and ^JPLAT with a return of 11.94% and 6.87%. The package had an overall average return of 3.19% during the period.

Commodity Price Prediction Based on Big Data: Returns up to 5.81% 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 CME_CL1, which registered a return of 5.81%. Other notable stocks were CME_WS1 and CME_RB1 with a return of 5.81% and 3.07%. The package had an overall average return of 1.31% during the period.

Commodities Prediction Based on Predictive Analytics : Returns up to 5.91% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_WS1 at 5.91%. CME_CL1 and ICE_CT1 also performed well for this time horizon with returns of 5.91% and 2.78%, respectively. The package had an overall average return of 1.91% during the period.

Commodities Prediction Based on Artificial Intelligence: Returns up to 11.01% 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 top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.01%. Other notable stocks were CME_CL1 and CME_RB1 with a return of 4.47% and 4.41%. The package had an overall average return of 1.98% during the period.

Commodities Forecast Based on Data Mining: Returns up to 26.57% 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 CME_RB1 at 26.57%. ^JPLAT and CME_CL1 also performed well for this time horizon with returns of 19.33% and 8.04%, respectively. The package had an overall average return of 4.36% during the period.

Commodity Price Prediction Based on Algo Trading: Returns up to 4.32% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 4.32%. ICE_CT1 and ^JPLAT saw outstanding returns of 2.95% and 2.05%. The package had an overall average return of 1.49% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.15% in 14 Days

8 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 9.15%. CME_RB1 and ^APAPR.T followed with returns of 7.10% and 6.85% for the 14 Days period. The package had an overall average return of 2.79% during the period.

Commodities Price Outlook Based on AI: Returns up to 3.87% 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_RB1 was the top performing prediction with a return of 3.87%. ^APAPR.T and ICE_CT1 saw outstanding returns of 3.72% and 3.27%. The package had an overall average return of 1.02% during the period.

Commodities Forecast Based on Pattern Recognition: Returns up to 20.16% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_RB1, at 20.16%. The suggested trades for ^JPLAT and PALL also had notable 1 Month yields of 18.73% and 6.95%, respectively. The package had an overall average return of 4.47% during the period.

Commodity Price Prediction Based on AI: Returns up to 12.99% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ^JPLAT, at 12.99%. Further notable returns came from Zinc and CME_RB1 at 7.29% and 6.89%, respectively. The package had an overall average return of 3.76% during the period.

Commodities Outlook Based on Data Mining: Returns up to 10.16% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 10.16%. CME_RB1, and ICE_OJ1 had notable returns of 4.13% and 3.96%. The package had an overall average return of 2.27% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 5.72% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 5.72%. CME_RB1 and CME_CL1 saw outstanding returns of 3.37% and 2.49%. The package had an overall average return of 2.18% during the period.