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 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.

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 Price Forecast Based on Stock Prediction Algorithm: Returns up to 10.05% 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 Outlook Based on Big Data Analytics : Returns up to 11.52% in 14 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 Algo Trading: Returns up to 11.81% in 14 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 Algo Trading: Returns up to 13.51% in 14 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 13.51% in 14 Days. ICE_SB1 and Zinc saw outstanding returns of 7.63% and 2.7%. The package had an overall average return of 2.26% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 12.11% in 7 Days

In this 7 Days 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 12.11%. Additional high returns came from CME_LC1 and PALL, at 3.68% and 1.32% respectively. The package had an overall average return of 0.61% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 10.49% in 3 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_SB1 was the highest-earning trade with a return of 10.49% in 3 Days. Other notable stocks were ^JPLAT and CME_LC1 with a return of 10.25% and 1.69%. The package had an overall average return of 2.62% during the period.

Commodity Outlook Based on Big Data: Returns up to 9.96% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. ^JPLAT was the highest-earning trade with a return of 9.96% in 7 Days. Additional high returns came from ICE_SB1 and CME_LC1, at 7.97% and 3.69% respectively. The package had an overall average return of 2.71% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 5.6% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 5.6%. ICE_SB1 and Zinc also performed well for this time horizon with returns of 3.38% and 1.88%, respectively. The package had an overall average return of 1.09% during the period.

Commodity Price Forecast Based on AI: Returns up to 2.79% in 3 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The highest trade return came from PALL, at 2.79%. Zinc and CME_LC1 saw outstanding returns of 2.16% and 1.97%. The package had an overall average return of 0.6% during the period.

Commodity Price Forecast Based on a Self-learning Algorithm: Returns up to 20.77% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 20.77% in 3 Months. GDX and PALL saw outstanding returns of 17.73% and 8.8%. The package had an overall average return of 3.03% during the period.

Commodity ETFs Outlook Based on Machine Learning: Returns up to 6.24% 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. The greatest return came from GDX at 6.24%. GRU and IYM also performed well for this time horizon with returns of 2.68% and 2.61%, respectively. The package had an overall average return of 1.99% 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 […]

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