Commodity Outlook Based on Deep-Learning: Returns up to 3.69% in 3 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The top performing prediction from this package was CME_RB1 with a return of 3.69%. Other notable stocks were ICE_CC1 and ICE_SB1 with a return of 3.03% and 1.61%. The package had an overall average return of 1.51% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 3.28% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 8 out of 10 movements. ICE_SB1 was the top performing prediction with a return of 3.28%. KOL and ^CEX saw outstanding returns of 1.87% and 1.47%. The package had an overall average return of 1.02% 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 Forecast Based on Algo Trading: Returns up to 51.56% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The prediction with the highest return was ^JPLAT, at 51.56%. Other notable stocks were PALL and WOOD with a return of 19.45% and 11.09%. The package had an overall average return of 6.45% during the period.

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 Big Data: Returns up to 56.83% in 1 Year

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Year time period. The greatest return came from PALL at 56.83%. GDX, and Nickel had notable returns of 45.47% and 17.92%. The package had an overall average return of 12.09% during the period.

Best Commodity ETFs Based on AI: Returns up to 56.41% in 1 Year

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Year time period. PALL was the highest-earning trade with a return of 56.41% in 1 Year. GDX, and Nickel had notable returns of 42.33% and 20.92%. The package had an overall average return of 12.01% during the period.

Commodity ETFs Based on Data Mining: Returns up to 56.94% in 1 Year

For this 1 Year forecast the algorithm had successfully predicted 8 out of 10 movements. The top performing prediction from this package was PALL with a return of 56.94%. The suggested trades for GDX and Nickel also had notable 1 Year yields of 41.28% and 31.91%, respectively. The package had an overall average return of 17.54% during the period.

Commodity ETFs Based on AI: Returns up to 56.94% in 1 Year

Commodity ETFs 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 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 short […]

Commodity ETFs Based on Big Data: Returns up to 58.38% in 1 Year

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Year time period. The top performing prediction from this package was PALL with a return of 58.38%. GDX, and PHAU.MI had notable returns of 38.42% and 22.15%. The package had an overall average return of 12.82% during the period.

Commodity ETFs Based on Data Mining: Returns up to 60.68% 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. PALL was the highest-earning trade with a return of 60.68% in 1 Year. GDX and ^CEX also performed well for this time horizon with returns of 38.33% and 12.13%, respectively. The package had an overall average return of 12.02% during the period.

Best Commodity ETFs Based on AI: Returns up to 59.25% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The prediction with the highest return was PALL, at 59.25%. The suggested trades for GDX and ^CEX also had notable 1 Year yields of 35.33% and 11.83%, respectively. The package had an overall average return of 11.39% 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.

Commodity Outlook Based on AI: Returns up to 43.25% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 9 out of 10 movements. ^JPLAT was the top performing prediction with a return of 43.25%. XAG and Nickel saw outstanding returns of 20.53% and 13.01%. The package had an overall average return of 10.13% 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 Outlook Based on Big Data: Returns up to 48.04% in 3 Months

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 48.04%. XAG and Nickel saw outstanding returns of 23.86% and 17.34%. The package had an overall average return of 12.2% during the period.

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