Commodities Forecast Based on Stock Market Algorithm: Returns up to 6.20% in 14 Days

The algorithm correctly predicted 9 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 6.20% in 14 Days. Additional high returns came from ICE_B1 and SHFE_RB2, at 3.33% and 3.16% respectively. The package had an overall average return of 2.07% during the period.

Commodities Outlook Based on Deep-Learning : Returns up to 4.53% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ICE_OJ1 was the top performing prediction with a return of 4.53%. CME_RB1 and CME_LC1 saw outstanding returns of 1.99% and 1.08%. The package had an overall average return of 0.53% during the period.

Commodities Prediction Based on Big Data Analytics : Returns up to 2.03% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 2.03%. ^CEX and ICE_CC1 saw outstanding returns of 1.66% and 1.34%. The package had an overall average return of 0.68% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 9.91% 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 9.91%. Other notable stocks were CME_CL1 and CME_WS1 with a return of 8.95% and 8.95%. The package had an overall average return of 3.22% during the period.

Commodity Price Outlook Based on Data Mining: Returns up to 5.88% 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 CME_RB1, at 5.88%. Further notable returns came from SHFE_RB2 and ICE_B1 at 4.92% and 3.39%, respectively. The package had an overall average return of 0.51% during the period.

Commodity ETFs Outlook Based on Pattern Recognition: Returns up to 3.30% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ^CEX with a return of 3.30%. IYM, and Cocoa had notable returns of 2.97% and 2.66%. The package had an overall average return of 1.17% during the period.

Commodities Prediction Based on Stock Prediction Algorithm: Returns up to 9.88% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. SHFE_RB2 was our best stock pick this week a return of 9.88%. CME_RB1 and CME_O1 followed with returns of 6.99% and 5.83% for the 14 Days period. The package had an overall average return of 3.18% during the period.

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 Prediction Based on Data Mining: Returns up to 9.85% in 1 Month

In this 1 Month 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 CME_RB1, which registered a return of 9.85%. Other notable stocks were CME_CL1 and ICE_B1 with a return of 9.28% and 5.88%. The package had an overall average return of 3.38% during the period.

Commodity Price Outlook Based on AI: Returns up to 6.99% in 14 Days

6 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 6.99%. ^CEX and USO followed with returns of 4.38% and 4.29% for the 14 Days period. The package had an overall average return of 1.90% 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 ETFs Outlook Based on Pattern Recognition: Returns up to 7.54% 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 USO, which registered a return of 7.54%. Other notable stocks were PPLT and GSP with a return of 5.02% and 4.16%. The package had an overall average return of 1.93% 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.

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