Commodity ETFs Based on Stock Prediction Algorithm: Returns up to 7.41% in 3 days

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 ETFs Market Based on Stock Algorithm: Returns up to 9.58% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 movements. The top performing prediction from this package was FCG with a return of 9.58%. XME, and WOOD had notable returns of 7.91% and 7.51%. The package had an overall average return of 3.58% during the period.

Commodity ETFs Prediction Based on Stock Algorithm: Returns up to 4.23% in 14 Days

6 out of 10 top commodity ETF picks from the algorithm decreased as predicted for this short-term forecasting period. XME saw monumental growth of 4.23% in just 14 Days. PPLT, and PALL also had excellent performances with returns of 3.74% and 3.15% respectively.

Commodities Forecast Based on Pattern Recognition: Returns up to 12.77% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was CME_RB1, which registered a return of 12.77%. Other notable stocks were CME_CL1 and ^JPLAT with a return of 11.94% and 6.87%. The package had an overall average return of 3.19% during the period.

Commodity ETFs Outlook Based on Predictive Analytics: Returns up to 4.21% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Cocoa was the top performing prediction with a return of 4.21%. WOOD and USO saw outstanding returns of 3.98% and 3.92%. The package had an overall average return of 2.03% during the period.

Commodity Price Outlook Based on Algo Trading: Returns up to 9.72% in 14 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ^JPLAT was the highest-earning trade with a return of 9.72% in 14 Days. Additional high returns came from CME_RB1 and PALL, at 8.24% and 4.30% respectively. The package had an overall average return of 2.39% during the period.

Commodities Price Predictions Based on Artificial Intelligence: Returns up to 14.96% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 14.96%. PALL and CME_RB1 saw outstanding returns of 13.00% and 8.88%. The package had an overall average return of 6.93% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 13.20% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 13.20%. Other notable stocks were CME_RB1 and CME_CL1 with a return of 13.00% and 8.21%. The package had an overall average return of 5.98% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 11.17% 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. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.17%. Other notable stocks were CME_RB1 and ICE_B1 with a return of 10.83% and 8.11%. The package had an overall average return of 4.41% during the period.

Commodities Markets Trends Based on Algorithmic Trading: Returns up to 10.83% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 10.83%. ICE_B1 and ^JPLAT followed with returns of 7.71% and 5.68% for the 3 Days period. The package had an overall average return of 2.89% during the period.

Commodities Prices Based on Algo Trading: Returns up to 13.25% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 13.25%. Copper and CME_HG1 saw outstanding returns of 4.70% and 4.67%. The package had an overall average return of 3.12% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 4.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from Cocoa, at 4.65%. The suggested trades for ICE_CC1 and PALL also had notable 3 Days yields of 4.63% and 2.25%, respectively. The package had an overall average return of 0.73% during the period.

Commodity Forecast Based on AI: Returns up to 5.98% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from ICE_CT1 at 5.98%. CME_NG1 and CME_HG1 also performed well for this time horizon with returns of 2.53% and 1.79%, respectively. The package had an overall average return of 1.02% during the period.

Commodities Market Review: Copper Price Soared to a Four-Year High

Starting from June, industrial metals, especially copper, have been the big movers in the commodities market. On June 8, the LME Copper soared to $7261.5 per ton, reaching its highest price since January 2014. The price of copper is essentially determined by the supply and demand relationship as well as the broad economic factors, such […]

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