Commodity Futures Forecast Based on Big Data: Returns up to 10.92% in 1 Month

During the 1 Month 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 ICE_B1, at 10.92%. Further notable returns came from CME_RB1 and CME_CL1 at 10.71% and 10.45%, respectively. The package had an overall average return of 3.11% during the period.

Commodities Prediction Based on Deep-Learning: Returns up to 11.60% in 1 Month

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. CME_CL1 was the highest-earning trade with a return of 11.60% in 1 Month. Additional high returns came from CME_WS1 and ICE_B1, at 11.60% and 11.16% respectively. The package had an overall average return of 2.88% during the period.

Commodities ETFs Prediction Based on Stock Algorithm: Returns up to 10.59% in 3 Months

7 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 10.59%. ^CEX and Nickel followed with returns of 9.68% and 5.41% for the 3 Months period. The package had an overall average return of 2.87% during the period.

Commodities Outlook Based on Deep Learning: Returns up to 11.00% in 1 Month

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 11.00%. CME_WS1 and CME_CL1 followed with returns of 10.54% and 9.54% for the 1 Month period. The package had an overall average return of 2.76% during the period.

Commodities Price Prediction Based on Deep Learning: Returns up to 10.91% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 10.91%. CME_CL1 and SHFE_RB2 saw outstanding returns of 9.54% and 9.46%. The package had an overall average return of 3.17% during the period.

Commodity Price Outlook Based on Pattern Recognition: Returns up to 8.18% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from CME_RB1, at 8.18%. The suggested trades for SHFE_RB2 and CME_CL1 also had notable 14 Days yields of 7.20% and 4.15%, respectively. The package had an overall average return of 1.90% during the period.

Commodity Prediction Based on Big Data: Returns up to 4.56% 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 CME_RB1, which registered a return of 4.56%. Other notable stocks were CME_CL1 and CME_WS1 with a return of 2.83% and 2.60%. The package had an overall average return of 1.10% during the period.

Commodities Price Forecast Based on Stock Algorithm: Returns up to 47.34% in 3 Months

During the 3 Months 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 ^JPLAT, at 47.34%. Further notable returns came from ^CEX and Uranium at 8.27% and 8.16%, respectively. The package had an overall average return of 2.58% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 11.55% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from CME_RB1, at 11.55%. The suggested trades for CME_CL1 and CME_WS1 also had notable 1 Month yields of 9.36% and 9.36%, respectively. The package had an overall average return of 4.05% during the period.

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.