Best Commodity ETFs Based on a Self-learning Algorithm: Returns up to 80.92% in 1 Year

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Year time period. The highest trade return came from PALL, at 80.92%. Additional high returns came from GDX and SLV, at 42.54% and 17.76% respectively. The package had an overall average return of 11.27% during the period.

Commodity ETFs Based on Genetic Algorithms: Returns up to 75.31% 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. PALL was the top performing prediction with a return of 75.31%. ^CEX and Nickel saw outstanding returns of 16.76% and 16.71%. The package had an overall average return of 10.6% during the period.

Best Commodity ETFs Based on Big Data: Returns up to 50.41% in 1 Year

Best Commodity ETFs This Commodity ETFs Package is designed for investors who need commodity recommendations to find the best performing commodity ETFs in the market. It includes 20 ETFs with bullish or bearish signals indicating which are assets are the best ones to buy: Top 10 commodity ETFs for the long position Top 10 commodity […]

Best Commodity ETFs Based on Big Data: Returns up to 54.98% in 1 Year

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. PALL was the top performing prediction with a return of 54.98%. GDX and PHAU.MI also performed well for this time horizon with returns of 41.36% and 21.79%, respectively. The package had an overall average return of 12.0% during the period.

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 ETFs Prediction Based on Machine Learning: Returns up to 6.78% in 7 Days

During the 7 Days 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 PALL, at 6.78%. Further notable returns came from GDX and GRU at 5.39% and 4.10%, respectively. The package had an overall average return of 2.47% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 5.97% in 14 Days

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

Commodity ETF Forecast Based on Machine Learning: Returns up to 8.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GDX, at 8.66%. The suggested trades for WEAT and GRU also had notable 14 Days yields of 5.24% and 4.63%, respectively. The package had an overall average return of 3.65% during the period.

Commodities ETFs Predictions Based on Artificial Intelligence: Returns up to 5.01% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GRU, at 5.01%. The suggested trades for WEAT and GDX also had notable 7 Days yields of 3.87% and 2.01%, respectively. Finally, positive returns resulted from positions on IYM and MOO gaining 1.95% and 1.80%, respectively, over the same forecast horizon. The package had an overall average return of 2.05% during the period.

Commodity ETFs Outlook Based on Deep Learning: Returns up to 19.49% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Zinc was the top performing prediction with a return of 19.49%. PALL and ^CEX saw outstanding returns of 11.06% and 10.98%. The package had an overall average return of 5.80% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 15.52% in 3 Months

8 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 15.52%. PALL and ^CEX followed with returns of 9.24% and 7.85% for the 3 Months period. The package had an overall average return of 4.90% during the period.