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 Outlook Based on Big Data: Returns up to 3.07% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was PALL, at 3.07%. Other notable stocks were Coffee and XME with a return of 2.42% and 2.4%. The package had an overall average return of 1.06% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 3.07% in 3 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 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 3.07% in 3 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. PALL was the top performing prediction with a return of 3.07%. Coffee and XME saw outstanding returns of 2.42% and 2.4%. The package had an overall average return of 1.23% 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.

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 Big Data: Returns up to 4.32% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. CME_W1 was the top performing prediction with a return of 4.32%. Further notable returns came from PALL and ICE_KC1 at 3.16% and 2.21%, respectively. The package had an overall average return of 1.02% 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 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 Price Forecast Based on AI: Returns up to 44.24% in 3 Months

In this 3 Months forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The greatest return came from ^JPLAT at 44.24%. PALL and XAG also performed well for this time horizon with returns of 24.97% and 17.26%, respectively. The package had an overall average return of 9.86% 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.