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 Market Overview: Nickel, USO, & GSP Growing

Summary – Commodity Market Overview Indonesia’s upcoming export ban on ore along with increasing demand for electric vehicle batteries has increased the price of nickel.  Meteorological, political, and inventory uncertainty is causing oil prices to grow.  The GSP price has increased due to more expensive energy commodities such as oil and an increase in the […]

Commodities Prices Forecast Based on Artificial Intelligence: Returns up to 6.06% in 3 days

During the 3 days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The highest trade return came from Nickel, at 6.06%. USO and GSP saw outstanding returns of 3.99% and 3.69%. Finally, the positive returns could also come from DJP and DJCI with 2.94% and 2.79% returns, respectively. The package had an overall average return of 2.77% during the period.

Commodity ETFs Outlook Based on Pattern Recognition: Returns up to 3.30% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ^CEX with a return of 3.30%. IYM, and Cocoa had notable returns of 2.97% and 2.66%. The package had an overall average return of 1.17% during the period.

Commodities ETFs Outlook Based on Pattern Recognition: Returns up to 7.54% in 14 Days

In this 14 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 USO, which registered a return of 7.54%. Other notable stocks were PPLT and GSP with a return of 5.02% and 4.16%. The package had an overall average return of 1.93% during the period.

Commodities Price Forecast Based on Big Data Analytics: Returns up to 7.52% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The prediction with the highest return was USO, at 7.52%. Further notable returns came from PPLT and Zinc at 6.20% and 4.43%, respectively. The package had an overall average return of 1.35% during the period.