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 Predictive Analytics : Returns up to 21.46% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 21.46%. Additional high returns came from PALL and Nickel, at 12.99% and 9.93% respectively. The package had an overall average return of 7.24% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 28.3% in 3 Months

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. ^JPLAT was the highest-earning trade with a return of 28.3% in 3 Months. GDX, and PALL had notable returns of 15.67% and 9.92%. The package had an overall average return of 4.01% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 21.46% in 1 Month

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.46%. Nickel and PALL followed with returns of 11.81% and 11.34% for the 1 Month period. The package had an overall average return of 7.16% during the period.

Commodity Outlook Based on Big Data: Returns up to 27.21% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 3 Months time period. The highest trade return came from ^JPLAT, at 27.21%. GDX and GLD followed with returns of 19.54% and 11.78% for the 3 Months period. The package had an overall average return of 5.28% during the period.

Commodity Price Forecast Based on Big Data Analytics : Returns up to 10.28% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from Nickel at 10.28%. XAG and SLV also performed well for this time horizon with returns of 6.64% and 6.4%, respectively. The package had an overall average return of 3.33% during the period.

Commodity Price Forecast Based on a Self-learning Algorithm: Returns up to 20.77% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 20.77% in 3 Months. GDX and PALL saw outstanding returns of 17.73% and 8.8%. The package had an overall average return of 3.03% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 17.48% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. ^JPLAT was the top performing prediction with a return of 17.48%. GDX and PALL saw outstanding returns of 14.63% and 11.0%. The package had an overall average return of 2.31% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 16.11% 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 greatest return came from Nickel at 16.11%. Further notable returns came from ^JPLAT and XAG at 11.82% and 7.07%, respectively. The package had an overall average return of 3.7% 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 27.23% in 3 Months

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 27.23%. GDX and PALL also performed well for this time horizon with returns of 25.85% and 15.72%, respectively. The package had an overall average return of 6.54% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 27.69% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was our best stock pick this week a return of 27.69%. Nickel and SLV followed with returns of 20.83% and 14.62% for the 1 Month period. The package had an overall average return of 9.07% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 14.99% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. Nickel was the highest-earning trade with a return of 14.99% in 7 Days. ^JPLAT, and XAG had notable returns of 8.66% and 7.76%. The package had an overall average return of 4.49% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 14.31% in 14 Days

Several predictions in this 14 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 14.31%. The suggested trades for SLV and Nickel also had notable 14 Days yields of 14.27% and 13.97%, respectively. The package had an overall average return of 6.47% during the period.

Commodity Outlook Based on Big Data Analytics : Returns up to 34.13% 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. XAG was the highest-earning trade with a return of 34.13% in 1 Month. Other notable stocks were Nickel and SLV with a return of 24.8% and 20.74%. The package had an overall average return of 12.11% during the period.

Commodity Outlook Based on AI: Returns up to 14.83% in 7 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The top-performing prediction in this forecast was Nickel, which registered a return of 14.83%. Further notable returns came from XAG and ^JPLAT at 9.07% and 8.9%, respectively. The package had an overall average return of 6.12% during the period.