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 […]

Commodity Market Based on Deep Learning: Returns up to 8.35% in 3 Days

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

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 5.72% 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 5.72%. CME_RB1 and CME_CL1 saw outstanding returns of 3.37% and 2.49%. The package had an overall average return of 2.18% during the period.

Commodity Price Outlook Based on Machine Learning: Returns up to 5.72% in 3 Days

ring 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 ^JPLAT, at 5.72%. Further notable returns came from CME_RB1 and ICE_OJ1 at 3.17% and 2.86%, respectively. The package had an overall average return of 2.05% during the period.

Commodities Outlook Based on Algorithmic Trading: Returns up to 5.18% in 3 Days

Commodities Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 18 Commodities Outlook with bullish or bearish signals indicating which are best to buy: Top 9 commodities for the long position Top 9 commodities for the short position Package Name: Commodities […]

Commodities Price Forecast Based on Machine Learning: Returns up to 11.57% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. JJU was our best stock pick this week a return of 11.57%. ^XOI and WEAT followed with returns of 5.29% and 3.43% for the 3 Days period. CME_W1 and GDX followed with returns of 3.18% and 3.08% for the same period. The package had an overall average return of 3.13% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 6.21% 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. CME_W1 was the top performing prediction with a return of 6.21%. Cocoa and WEAT saw outstanding returns of 5.44% and 4.15%. ICE_CC1 and ICE_SB2 followed with returns of 3.62% and 3.61%, respectively. Next, ICE_CT1 and CME_NG1 showed the returns of 1.17% and 0.45% for the 3 Days period, respectively. The package had an overall average return of 2.19% during the period.

Commodity Price Predictions Based on Genetic Algorithms: Returns up to 17.96% in 3 Months

Commodities Forecast from July 14, 2017 to October 14, 2017 based on I Know First’s stock forecast algorithm.

Commodity Outlook Based on Artificial Intelligence: Returns up to 11.66% in 1 Month

Commodities Forecast from June 21, 2017 to July 21, 2017 based on I Know First’s stock forecast algorithm.

Top Commodities Based on a Self-learning Algorithm: Returns up to 12.07% in 1 Month

Commodities Forecast from June 18, 2017 to July 18, 2017 based on I Know First’s stock forecast algorithm.

Commodity Prediction Based on AI: Returns up to 7.94% in 14 Days

Commodities Forecast from June 30, 2017 to July 14, 2017 based on I Know First’s stock forecast algorithm.

Commodity Forecast Based on Algo Trading: Returns up to 18.15% in 14 Days

Commodities Forecast from June 28, 2017 to July 12, 2017 based on I Know First’s stock forecast algorithm.

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