Commodity Price Forecast Based on AI: Returns up to 18.12% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from ICE_KC1, at 18.12%. Coffee, and ^JPLAT had notable returns of 13.05% and 12.66%. The package had an overall average return of 2.35% during the period.

Commodity Outlook Based on AI: Returns up to 16.83% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. ICE_KC1 was our best stock pick this week a return of 16.83%. Coffee and ^JPLAT saw outstanding returns of 15.42% and 13.13%. The package had an overall average return of 2.08% during the period.

Commodity Outlook Based on Big Data: Returns up to 16.03% 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 Coffee, at 16.03%. ^JPLAT and XME also performed well for this time horizon with returns of 8.51% and 5.78%, respectively. The package had an overall average return of 1.8% during the period.

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 Price Forecast Based on AI: Returns up to 12.21% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The prediction with the highest return was ^JPLAT, at 12.21%. XME, and WOOD had notable returns of 4.58% and 3.73%. The package had an overall average return of 1.11% during the period.

Commodity Outlook Based on AI: Returns up to 10.44% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The prediction with the highest return was ^JPLAT, at 10.44%. XME, and ICE_SB1 had notable returns of 5.04% and 4.56%. The package had an overall average return of 1.45% during the period.

Commodity Outlook Based on AI: Returns up to 8.96% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ^JPLAT, at 8.96%. Additional high returns came from WOOD and IYM, at 8.16% and 6.09% respectively. The package had an overall average return of 3.73% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.89% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 4.89%. Additional high returns came from IYM and Coffee, at 4.47% and 4.29% respectively. The package had an overall average return of 1.34% during the period.

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.

Commodity Price Forecast Based on AI: Returns up to 12.88% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The top performing prediction from this package was WOOD with a return of 12.88%. Further notable returns came from ^JPLAT and Zinc at 10.73% and 10.37%, respectively. The package had an overall average return of 4.11% 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.

Commodity Price Forecast Based on AI: Returns up to 9.58% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. Zinc was the highest-earning trade with a return of 9.58% in 1 Month. Additional high returns came from ^APAPR.T and PALL, at 7.52% and 7.02% respectively. The package had an overall average return of 2.69% during the period.

Commodity Outlook Based on AI: Returns up to 12.55% in 1 Month

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. Zinc was our best stock pick this week a return of 12.55%. PALL, and ^JPLAT had notable returns of 8.53% and 7.36%. The package had an overall average return of 3.3% 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 Outlook Based on AI: Returns up to 3.08% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was the highest-earning trade with a return of 3.08% in 3 Days. Other notable stocks were NaturalGas and Zinc with a return of 2.56% and 2.03%. The package had an overall average return of 1.17% during the period.

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