Commodity Price Forecast Based on Algo Trading: Returns up to 9.33% in 1 Month

In this forecast, 8 out of 10 top stock picks from the algorithm decreased as predicted for this 1 Month forecasting period. CME_CL1 saw monumental price change of 9.33% in just 1 Month. USO, and ^JPLAT also had excellent performances with returns of 8.76% and 8.65% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 13.54% in 7 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 Price Forecast Based on Algorithmic Trading: Returns up to 20.04% 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 Price Forecast Based on Algo Trading: Returns up to 13.19% in 1 Month

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 Price Forecast Based on Algorithmic Trading: Returns up to 19.23% in 3 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 Price Forecast Based on Artificial Intelligence: Returns up to 15.02% in 7 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 Price Forecast Based on a Self-learning Algorithm: Returns up to 22.43% 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 Price Forecast Based on Deep-Learning : Returns up to 6.18% in 7 Days

10 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. ^XNG saw monumental price change of 6.18% in just 7 Days. Uranium, and CME_NG1 also had excellent performances with returns of 5.3% and 4.56% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Price Forecast Based on Deep Learning: Returns up to 10.32% in 14 Days

9 out of 10 top stock picks from the algorithm decreased as predicted for this 14 Days forecasting period. ^XNG saw monumental price change of 10.32% in just 14 Days. CME_NG1, and Uranium also had excellent performances with returns of 8.04% and 7.92% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Prediction Based on Pattern Recognition: Returns up to 16.02% in 30 days

During the 30 days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The highest trade return came from GDX, at 16.02%. The suggested trades for ICE_KC1 and ^JPLAT also had notable 30 days yields of 8.45% and 5.85%, respectively. The package had an overall average return of 4.01% during the period.

Commodity ETFs Based on Deep Learning: Returns up to 7.60% 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 PALL at 7.60%. GDX and XME also performed well for this time horizon with returns of 6.24% and 5.43%, respectively. The package had an overall average return of 2.08% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 7.60% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 7.60%. GDX, and MOO had notable returns of 6.24% and 1.81%. The package had an overall average return of 1.76% 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 ETFs Prediction Based on Machine Learning: Returns up to 6.78% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The prediction with the highest return was PALL, at 6.78%. Further notable returns came from GDX and GRU at 5.39% and 4.10%, respectively. The package had an overall average return of 2.47% 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 […]

Commodity ETF Forecast Based on Machine Learning: Returns up to 8.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GDX, at 8.66%. The suggested trades for WEAT and GRU also had notable 14 Days yields of 5.24% and 4.63%, respectively. The package had an overall average return of 3.65% during the period.

Commodities ETFs Predictions Based on Artificial Intelligence: Returns up to 5.01% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GRU, at 5.01%. The suggested trades for WEAT and GDX also had notable 7 Days yields of 3.87% and 2.01%, respectively. Finally, positive returns resulted from positions on IYM and MOO gaining 1.95% and 1.80%, respectively, over the same forecast horizon. The package had an overall average return of 2.05% during the period.

Commodities Market Forecast Based on Predictive Analytics : Returns up to 7.50% in 3 Days

During the 3 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from USO which registered a return of 6.55%. For the long positions the largest growth was registered by ICE_OJ1 with a return of 7.50%, during the same period. The package itself, had an overall average return of 0.74%, in the long position. With regards to the short position, the package had an overall average return of 2.34%. The I Know First Algorithm accurately forecasted 6 out of 10 commodities, for the long position, and 6 out of 10 commodities, for the short position for this 3 Days forecasted period.

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