Commodities Market Outlook Based on Artificial Intelligence: Returns up to 9.17% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 movements. The top performing prediction from this package was CME_W1 with a return of 9.17%. WEAT, and ICE_CC1 had notable returns of 7.10% and 3.65%. Finally, positive returns resulted from positions on RJA and CME_S1 gaining 2.37% and 1.84%, respectively, over the same forecast horizon. The package had an overall average return of 2.23% during the period.

Commodities Forecast Based on Deep Learning: Returns up to 12.11% in 7 Days

During the 7 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. For the long positions the largest growth was registered by ICE_KC1 with a return of 12.11%, during the same period. For the short positions the largest growth was registered by USO with a return of 10.14%, during the same period. The package itself, had an overall average return of 3.95%, in the long position. The package itself, had an overall average return of 2.50%, in the short position. The I Know First Algorithm accurately forecasted 7 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 7 Days forecasted period.

Commodities Market Predictions Based on Machine Learning: Returns up to 13.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecasts for the 7 Days time period. The greatest return came from ICE_OJ1 at 13.90%. Coffee and ICE_KC1 also performed well for this time horizon with returns of 13.24% and 11.20%, respectively. The package had an overall average return of 3.68% during the period.

Commodities Market Forecast Based on Artificial Intelligence: Returns up to 8.20% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 market trades in this Commodities Package for the 14 Days investment time period. The most significant return came from Coffee at 8.20%. ICE_KC1 and ICE_OJ1 also performed well for this investment time horizon with returns of 8.20% and 5.10%, respectively. The Commodities package had an overall average return of 2.40% over the investment horizon.

Commodities Forecast Based on Artificial Intelligence: Returns up to 7.34% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from CME_W1 at 7.34%. WEAT and RJA also performed well for this time horizon with returns of 6.24% and 3.29%, respectively. The package had an overall average return of 2.65% during the period.CME_W1 is a wheat futures, continous contract #1.

Commodities Price Predictions Based on Big Data Analytics : Returns up to 10.17% in 7 Days

7 out of 10 commodity prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_OJ1 was our best pick this week a return of 10.17%. Coffee and WEAT followed with returns of 7.10% and 3.20% for the 7 Days period. Finally, positive returns also came from long positions on RJA and CME_W1 resulting in gains of 2.71% and 2.45%, respectively. The package had an overall average return of 1.40% during the period.

Commodities Market Forecast Based on Deep Learning: Returns up to 9.46% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from Coffee, at 9.46%. The suggested trades for CME_W1 and WEAT also had notable 7 Days yields of 9.41% and 8.51%, respectively. The yield for ICE_KC1 is noteworthy as well, coming in at 6.42%. The Commodities Package, all in all, an overall average return of 4.51% during the period.

Commodities Market Outlook Based on Artificial Intelligence: Returns up to 7.34% in 3 Days

Commodities Market Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodities Market 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 […]

Commodities Market Outlook Based on Predictive Analytics : Returns up to 3.58% in 3 Days

Commodities Market Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodities Market 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 […]

Commodities Forecast Based on Stock Market Algorithm: Returns up to 6.20% in 14 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. CME_RB1 was the highest-earning trade with a return of 6.20% in 14 Days. Additional high returns came from ICE_B1 and SHFE_RB2, at 3.33% and 3.16% respectively. The package had an overall average return of 2.07% during the period.

Commodities Prediction Based on Big Data Analytics : Returns up to 2.03% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 2.03%. ^CEX and ICE_CC1 saw outstanding returns of 1.66% and 1.34%. The package had an overall average return of 0.68% during the period.

Commodity Price Outlook Based on Data Mining: Returns up to 5.88% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was CME_RB1, at 5.88%. Further notable returns came from SHFE_RB2 and ICE_B1 at 4.92% and 3.39%, respectively. The package had an overall average return of 0.51% during the period.

Commodities Price Forecast Based on Pattern Recognition: Returns up to 1.72% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. SHFE_RB2 was the highest-earning trade with a return of 1.72% in 3 Days. Additional high returns came from ICE_KC1 and SHFE_RB5, at 1.27% and 0.83% respectively. The package had an overall average return of 0.74% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 6.89% in 7 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 6.89%. SHFE_RB5, and CME_RB1 had notable returns of 5.94% and 2.19%. The package had an overall average return of 1.84% during the period.

Commodities Forecast Based on AI: Returns up to 10.91% 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. SHFE_RB2 was the top performing prediction with a return of 10.91%. CME_RB1 and CME_CL1 saw outstanding returns of 8.36% and 7.74%. The package had an overall average return of 5.37% during the period.

Commodities Prediction Based on Algo Trading: Returns up to 5.96% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 5.96%. CME_RB1, and SHFE_RB5 had notable returns of 5.01% and 4.99%. The package had an overall average return of 2.40% during the period.

Commodities Prediction Based on AI: Returns up to 7.30% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from CME_RB1, at 7.30%. The suggested trades for SHFE_RB2 and ICE_CC1 also had notable 7 Days yields of 6.10% and 3.82%, respectively. The package had an overall average return of 2.34% during the period.

Commodity Price Prediction Based on Data Mining: Returns up to 5.10% 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 prediction with the highest return was CME_RB1, at 5.10%. Further notable returns came from SHFE_RB2 and SHFE_RB5 at 4.51% and 4.33%, respectively. The package had an overall average return of 2.23% during the period.

Pages:12345»