Commodity Outlook Based on Big Data: Returns up to 4.5% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The top performing prediction from this package was XME with a return of 4.5%. Other notable stocks were ^JPLAT and WOOD with a return of 4.15% and 3.68%. The package had an overall average return of 1.64% during the period.

Commodity Outlook Based on Big Data: Returns up to 13.2% in 1 Month

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from WOOD at 13.2%. Additional high returns came from XME and Zinc, at 9.55% and 9.24% respectively. The package had an overall average return of 4.25% during the period.

Commodity Outlook Based on Big Data: Returns up to 5.24% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. ICE_KC1 was the highest-earning trade with a return of 5.24% in 7 Days. Other notable stocks were Coffee and CME_NG1 with a return of 5.22% and 2.76%. The package had an overall average return of 2.16% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.2% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The prediction with the highest return was Coffee, at 9.2%. ^APAPR.T, and WOOD had notable returns of 4.75% and 4.25%. The package had an overall average return of 2.77% 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 Price Forecast Based on AI: Returns up to 6.39% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. XME was the highest-earning trade with a return of 6.39% in 14 Days. WOOD, and ^APAPR.T had notable returns of 5.6% and 4.0%. The package had an overall average return of 2.35% 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 5.13% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The top performing prediction from this package was Zinc with a return of 5.13%. WOOD and XME followed with returns of 5.07% and 4.83% for the 14 Days period. The package had an overall average return of 2.0% during the period.

Commodity Price Forecast Based on AI: Returns up to 5.07% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from WOOD at 5.07%. Additional high returns came from XME and ^JPLAT, at 4.83% and 4.7% respectively. The package had an overall average return of 1.79% during the period.

Commodity Price Forecast Based on AI: Returns up to 2.91% in 7 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. Zinc was our best stock pick this week a return of 2.91%. PALL and ^APAPR.T saw outstanding returns of 2.9% and 2.28%. The package had an overall average return of 1.09% during the period.

Commodity Outlook Based on Big Data: Returns up to 5.15% 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. XME was the top performing prediction with a return of 5.15%. Zinc, and DBB had notable returns of 3.0% and 2.11%. The package had an overall average return of 1.52% during the period.

Commodity Price Forecast Based on AI: Returns up to 5.9% in 14 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. PALL was our best stock pick this week a return of 5.9%. XME and Zinc followed with returns of 4.13% and 3.96% for the 14 Days period. The package had an overall average return of 1.21% during the period.

Commodity Price Forecast Based on AI: Returns up to 3.68% in 3 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 Outlook Based on Big Data: Returns up to 4.65% in 7 Days

Commodity Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Outlook 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 Name: Commodities […]

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 Data Mining: Returns up to 3.48% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The greatest return came from ICE_B1 at 3.48%. CME_NG1, and WOOD had notable returns of 2.21% and 1.92%. The package had an overall average return of 0.46% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 4.15% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was ^XNG, which registered a return of 4.15%. Additional high returns came from CME_NG1 and NaturalGas, at 3.65% and 3.64% respectively. The package had an overall average return of 0.76% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 31.8% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. XAG was the highest-earning trade with a return of 31.8% in 1 Month. Additional high returns came from Nickel and SLV, at 23.18% and 16.62% respectively. The package had an overall average return of 7.23% during the period.

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