Commodity Outlook Based on Genetic Algorithms: Returns up to 35.61% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.61%. Further notable returns came from PALL and WOOD at 31.11% and 10.37%, respectively. The package had an overall average return of 6.95% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 206.64% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ^JPLAT was the top performing prediction with a return of 206.64%. PALL, and Nickel had notable returns of 68.77% and 24.33%. The package had an overall average return of 24.67% during the period.

Commodity ETFs Based on Pattern Recognition: Returns up to 63.2% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The top-performing prediction in this forecast was PALL, which registered a return of 63.2%. The suggested trades for GDX and Nickel also had notable 1 Year yields of 34.06% and 19.62%, respectively. The package had an overall average return of 17.33% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 32.54% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 32.54%. PALL and Copper followed with returns of 27.05% and 9.28% for the 3 Months period. The package had an overall average return of 6.22% during the period.

Best Commodity ETFs Based on Machine Learning: Returns up to 60.07% in 1 Year

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was PALL, at 60.07%. GDX, and Nickel had notable returns of 31.74% and 21.58%. The package had an overall average return of 16.94% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 206.1% in 1 Year

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 206.1% in 1 Year. PALL, and Nickel had notable returns of 57.69% and 24.78%. The package had an overall average return of 27.5% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 36.82% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 8 out of 10 movements. The greatest return came from ^JPLAT at 36.82%. Additional high returns came from PALL and WOOD, at 25.83% and 16.07% respectively. The package had an overall average return of 7.69% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 41.25% in 3 Months

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 41.25%. PALL and WOOD also performed well for this time horizon with returns of 26.26% and 14.89%, respectively. The package had an overall average return of 9.21% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 214.01% in 1 Year

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 214.01% in 1 Year. Further notable returns came from PALL and GDX at 56.76% and 34.74%, respectively. The package had an overall average return of 29.93% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 35.92% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.92%. PALL, and ICE_SB1 had notable returns of 22.96% and 7.6%. The package had an overall average return of 7.24% during the period.

Commodity Price Forecast Based on Predictive Analytics: Returns up to 201.61% in 1 Year

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was ^JPLAT, at 201.61%. Additional high returns came from PALL and GDX, at 54.3% and 38.5% respectively. The package had an overall average return of 33.34% during the period.

Commodity Price Forecast Based on Big Data Analytics: Returns up to 37.03% in 3 Months

During the 3 Months 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 ^JPLAT, at 37.03%. Other notable stocks were PALL and IYM with a return of 21.0% and 6.18%. The package had an overall average return of 6.37% during the period.

Commodity Price Forecast Based on Machine Learning: Returns up to 204.07% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 204.07%. Further notable returns came from PALL and GDX at 51.84% and 37.18%, respectively. The package had an overall average return of 33.19% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 214.99% in 1 Year

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 214.99%. PALL, and GDX had notable returns of 56.07% and 38.57%. The package had an overall average return of 35.78% during the period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 44.7% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 44.7% in 3 Months. ICE_KC1, and PALL had notable returns of 25.41% and 17.76%. The package had an overall average return of 9.63% during the period.

Commodity ETFs Based on Pattern Recognition: Returns up to 53.94% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The prediction with the highest return was PALL, at 53.94%. GDX and Nickel also performed well for this time horizon with returns of 38.83% and 31.36%, respectively. The package had an overall average return of 21.98% during the period.

Commodity Outlook Based on Big Data: Returns up to 46.96% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^JPLAT was the highest-earning trade with a return of 46.96% in 3 Months. Other notable stocks were ICE_KC1 and PALL with a return of 28.23% and 15.12%. The package had an overall average return of 11.33% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 200.09% in 1 Year

During the 1 Year 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 200.09%. Other notable stocks were PALL and GDX with a return of 53.94% and 38.83%. The package had an overall average return of 31.37% during the period.