Commodity Outlook Based on AI: Returns up to 49.35% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ^JPLAT, at 49.35%. Other notable stocks were XAG and Nickel with a return of 20.77% and 9.61%. The package had an overall average return of 10.34% during the period.

Best Commodity ETFs Based on Artificial Intelligence: Returns up to 13.01% in 3 Months

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. Nickel was our best stock pick this week a return of 13.01%. PPLT and SLV saw outstanding returns of 9.97% and 8.23%. The package had an overall average return of 4.95% during the period.

Best Commodity ETFs Based on AI: Returns up to 17.34% in 3 Months

In this 3 Months forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The highest trade return came from Nickel, at 17.34%. The suggested trades for PPLT and SLV also had notable 3 Months yields of 12.35% and 11.39%, respectively. The package had an overall average return of 6.06% during the period.

Commodity Price Forecast Based on AI: Returns up to 16.26% 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 from this package was ^JPLAT with a return of 16.26%. Zinc, and WOOD had notable returns of 9.74% and 7.73%. The package had an overall average return of 4.62% during the period.

Commodity Price Forecast Based on AI: Returns up to 14.68% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ^JPLAT was our best stock pick this week a return of 14.68%. Zinc and WOOD saw outstanding returns of 10.23% and 9.09%. The package had an overall average return of 4.36% during the period.

Commodity Price Forecast Based on AI: Returns up to 11.08% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 11.08%. Zinc and WOOD followed with returns of 10.23% and 8.11% for the 1 Month period. The package had an overall average return of 3.75% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 23.78% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The highest trade return came from ^JPLAT, at 23.78%. Additional high returns came from Nickel and PPLT, at 10.05% and 8.67% respectively. The package had an overall average return of 4.18% during the period.

Commodity Outlook Based on Big Data Analytics : Returns up to 23.37% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was ^JPLAT, at 23.37%. Additional high returns came from Nickel and PPLT, at 10.91% and 7.85% respectively. The package had an overall average return of 4.32% during the period.

Commodity Outlook Based on Data Mining: Returns up to 7.7% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the top performing prediction with a return of 7.7%. CME_CL1 and XAG also performed well for this time horizon with returns of 2.78% and 2.57%, respectively. The package had an overall average return of 1.52% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 5.49% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. WOOD was the highest-earning trade with a return of 5.49% in 7 Days. CME_NG1 and Uranium also performed well for this time horizon with returns of 4.73% and 4.5%, respectively. The package had an overall average return of 2.23% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 5.96% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was the highest-earning trade with a return of 5.96% in 3 Days. Further notable returns came from NaturalGas and ^XNG at 5.18% and 4.76%, respectively. The package had an overall average return of 1.9% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 15.25% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The highest trade return came from Nickel, at 15.25%. PPLT and PALL saw outstanding returns of 10.33% and 5.19%. The package had an overall average return of 2.63% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 13.79% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. The top performing prediction from this package was Nickel with a return of 13.79%. Other notable stocks were PPLT and ^JPLAT with a return of 9.13% and 8.24%. The package had an overall average return of 3.42% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 12.9% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The greatest return came from Nickel at 12.9%. Other notable stocks were ^JPLAT and PPLT with a return of 12.78% and 10.15%. The package had an overall average return of 5.58% during the period.

Commodity Price Forecast Based on AI: Returns up to 7.17% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The greatest return came from NaturalGas at 7.17%. CME_NG1 and PPLT also performed well for this time horizon with returns of 6.57% and 2.84%, respectively. The package had an overall average return of 2.12% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 7.29% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was the top performing prediction with a return of 7.29%. Further notable returns came from NaturalGas and CME_NG1 at 7.21% and 7.0%, respectively. The package had an overall average return of 3.8% during the period.

Commodity Price Forecast Based on Predictive Analytics : Returns up to 9.2% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Nickel was the highest-earning trade with a return of 9.2% in 3 Days. Other notable stocks were XAG and SLV with a return of 5.43% and 4.8%. The package had an overall average return of 1.59% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 14.86% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. Nickel was our best stock pick this week a return of 14.86%. Further notable returns came from PPLT and XAG at 8.69% and 6.09%, respectively. The package had an overall average return of 4.26% during the period.

Pages:1234»