Commodities Forecast Based on Big Data: Returns up to 9.85% in 1 Month

9 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 9.85%. CME_CL1 and CME_WS1 followed with returns of 9.28% and 9.28% for the 1 Month period. The package had an overall average return of 4.55% during the period.

Commodities Price Forecast Based on Pattern Recognition: Returns up to 1.72% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. SHFE_RB2 was the highest-earning trade with a return of 1.72% in 3 Days. Additional high returns came from ICE_KC1 and SHFE_RB5, at 1.27% and 0.83% respectively. The package had an overall average return of 0.74% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 6.89% in 7 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 6.89%. SHFE_RB5, and CME_RB1 had notable returns of 5.94% and 2.19%. The package had an overall average return of 1.84% during the period.

Commodities Forecast Based on AI: Returns up to 10.91% 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. SHFE_RB2 was the top performing prediction with a return of 10.91%. CME_RB1 and CME_CL1 saw outstanding returns of 8.36% and 7.74%. The package had an overall average return of 5.37% during the period.

Commodities Prediction Based on Algo Trading: Returns up to 5.96% 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_RB2 with a return of 5.96%. CME_RB1, and SHFE_RB5 had notable returns of 5.01% and 4.99%. The package had an overall average return of 2.40% during the period.

Commodities Price Outlook Based on Algorithmic Trading: Returns up to 5.24% in 3 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. SHFE_RB2 was the highest-earning trade with a return of 5.24% in 3 Days. Additional high returns came from SHFE_RB5 and SHFE_RB3, at 4.67% and 4.54% respectively. The package had an overall average return of 1.55% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 15.23% in 1 Month

During the 1 Month 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 CME_CL1, at 15.23%. Further notable returns came from CME_WS1 and CME_RB1 at 15.23% and 14.85%, respectively. The package had an overall average return of 6.10% during the period.

Commodities Prediction Based on AI: Returns up to 7.30% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from CME_RB1, at 7.30%. The suggested trades for SHFE_RB2 and ICE_CC1 also had notable 7 Days yields of 6.10% and 3.82%, respectively. The package had an overall average return of 2.34% during the period.

Commodity Price Prediction Based on Data Mining: Returns up to 5.10% 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 CME_RB1, at 5.10%. Further notable returns came from SHFE_RB2 and SHFE_RB5 at 4.51% and 4.33%, respectively. The package had an overall average return of 2.23% during the period.

Commodities Outlook Based on Pattern Recognition: Returns up to 8.77% in 14 Days

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 8.77%. CME_WS1, and SHFE_RB2 had notable returns of 8.77% and 8.60%. The package had an overall average return of 2.77% during the period.

Commodities Forecast Based on Big Data: Returns up to 7.08% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_WS1 was the top performing prediction with a return of 7.08%. CME_CL1 and SHFE_RB2 saw outstanding returns of 7.08% and 6.76%. The package had an overall average return of 4.72% during the period.

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.

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 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.

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.

Commodity Market Trends Based on a Self-learning Algorithm: Returns up to 17.05% in 14 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. CME_RB1 was the highest-earning trade with a return of 17.05% in 14 Days. Additional high returns came from CME_WS1 and CME_CL1, at 4.97% and 4.97% respectively. The package had an overall average return of 2.71% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 24.56% 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 24.56%. The suggested trades for CME_CL1 and ICE_B1 also had notable 1 Month yields of 6.35% and 5.86%, respectively. The package had an overall average return of 4.27% during the period.

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