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 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 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 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 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 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 Price Forecast Based on Deep Learning: Returns up to 14.06% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The prediction with the highest return was XAG, at 14.06%. SLV, and Nickel had notable returns of 13.3% and 13.08%. The package had an overall average return of 4.54% 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.

Commodity Outlook Based on Big Data: Returns up to 11.17% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. Nickel was the top performing prediction with a return of 11.17%. XAG and SLV followed with returns of 9.17% and 7.05% for the 14 Days period. The package had an overall average return of 3.68% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 10.81% in 14 Days

Commodity Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Price Forecast with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package […]

Commodity ETFs Based on a Self-learning Algorithm: Returns up to 30.05% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was Nickel, which registered a return of 30.05%. PHAU.MI and PALL also performed well for this time horizon with returns of 20.67% and 9.9%, respectively. The package had an overall average return of 3.51% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 8.46% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. XAG was the top performing prediction with a return of 8.46%. SLV and GDX also performed well for this time horizon with returns of 8.19% and 6.89%, respectively. The package had an overall average return of 3.11% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 7.46% in 14 Days

Commodity Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Price Forecast with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package […]

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 4.32% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. XAG was the top performing prediction with a return of 4.32%. Additional high returns came from SLV and XAU, at 3.12% and 1.73% respectively. The package had an overall average return of 1.0% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 4.32% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The highest trade return came from XAG, at 4.32%. Additional high returns came from SLV and PHAU.MI, at 3.96% and 2.7% respectively. The package had an overall average return of 1.87% during the period.

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