Commodity Price Forecast Based on AI: Returns up to 3.9% 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. CME_RB1 was the top performing prediction with a return of 3.9%. Further notable returns came from WOOD and PHAU.MI at 2.97% and 2.1%, respectively. The package had an overall average return of 1.34% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.76% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The highest trade return came from PALL, at 6.76%. The suggested trades for Cocoa and ICE_CC1 also had notable 14 Days yields of 5.62% and 4.57%, respectively. The package had an overall average return of 2.28% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 5.68% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top-performing prediction in this forecast was PALL, which registered a return of 5.68%. Cocoa and ICE_OJ1 saw outstanding returns of 4.72% and 3.88%. The package had an overall average return of 1.98% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 3.9% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The prediction with the highest return was CME_RB1, at 3.9%. WOOD and PHAU.MI saw outstanding returns of 2.97% and 1.99%. The package had an overall average return of 1.33% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 3.69% in 3 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The top performing prediction from this package was CME_RB1 with a return of 3.69%. Other notable stocks were ICE_CC1 and ICE_SB1 with a return of 3.03% and 1.61%. The package had an overall average return of 1.51% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 3.28% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 8 out of 10 movements. ICE_SB1 was the top performing prediction with a return of 3.28%. KOL and ^CEX saw outstanding returns of 1.87% and 1.47%. The package had an overall average return of 1.02% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 4.76% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was ICE_SB1, at 4.76%. WOOD and ^CEX saw outstanding returns of 3.47% and 1.56%. The package had an overall average return of 1.03% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 7.54% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ICE_CC1 was our best stock pick this week a return of 7.54%. ICE_OJ1 and NLR saw outstanding returns of 3.81% and 1.1%. The package had an overall average return of 1.07% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 6.07% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ICE_CC1 was our best stock pick this week a return of 6.07%. ^CEX and IYM saw outstanding returns of 2.27% and 1.95%. The package had an overall average return of 0.94% during the period.

Best Commodity ETFs Based on Big Data: Returns up to 50.41% in 1 Year

Best Commodity ETFs This Commodity ETFs Package is designed for investors who need commodity recommendations to find the best performing commodity ETFs in the market. It includes 20 ETFs with bullish or bearish signals indicating which are assets are the best ones to buy: Top 10 commodity ETFs for the long position Top 10 commodity […]

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 ETFs Forecast Based on Big Data: Returns up to 6.94% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. FCG was the highest-earning trade with a return of 6.94% in 1 Month. Additional high returns came from PALL and SOYB, at 6.60% and 6.04% respectively. The package had an overall average return of 2.65% during the period.

Commodity ETFs Forecast Based on Stock Market Algorithm: Returns up to 7.63% in 1 Month

7 out of 10 top commodities picks from the algorithm decreased as predicted for this long-term forecasting period. PALL saw monumental growth of 7.63% in just 1 Month. SOYB, and FCG also had excellent performances with returns of 7.32% and 6.54% respectively.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.15% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 9.15%. CME_RB1 and ^APAPR.T followed with returns of 7.10% and 6.85% for the 14 Days period. The package had an overall average return of 2.79% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.89% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 9.89%. PALL, and CME_CL1 had notable returns of 4.62% and 3.94%. The package had an overall average return of 2.59% during the period.

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.47% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from ^JPLAT at 5.47%. CME_CL1 and ^APAPR.T also performed well for this time horizon with returns of 3.05% and 2.01%, respectively. The package had an overall average return of 1.41% during the period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 35.50% in 3 Months

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 35.50%. PALL and CME_NG1 followed with returns of 32.40% and 27.50% for the 3 Months period. The package had an overall average return of 2.13% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 46.40% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 5 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 46.40%. ^JPLAT and PALL saw outstanding returns of 34.99% and 29.74%. The package had an overall average return of 4.20% during the period.

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