Commodities Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. CME_RB1 was the highest-earning trade with a return of 24.56% in 1 Month. Additional high returns came from CME_CL1 and ICE_B1, at 6.35% and 5.86% respectively. The package had an overall average return of 4.27% during the period.

Commodity Prediction Based on Deep-Learning : Returns up to 4.01% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from SHFE_RB2, at 4.01%. The suggested trades for SHFE_RB5 and SHFE_RU1 also had notable 14 Days yields of 3.38% and 1.67%, respectively. The package had an overall average return of 0.76% during the period.

Commodities Price Forecast Based on Algo Trading: Returns up to 4.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from CME_CL1, at 4.28%. The suggested trades for CME_WS1 and CME_RB1 also had notable 7 Days yields of 4.28% and 3.72%, respectively. The package had an overall average return of 2.82% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 4.28% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was CME_CL1, which registered a return of 4.28%. Other notable stocks were CME_WS1 and CME_RB1 with a return of 4.28% and 3.72%. The package had an overall average return of 2.61% during the period.

Commodities Forecast Based on Algo Trading: Returns up to 28.84% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The prediction with the highest return was ICE_KC1, at 28.84%. Further notable returns came from SHFE_RU1 and SHFE_RB2 at 23.10% and 10.25%, respectively. The package had an overall average return of 4.11% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 20.34% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ICE_SB1 with a return of 20.34%. CME_BO1, and SHFE_ZN5 had notable returns of 8.13% and 6.39%. The package had an overall average return of 4.76% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 8.60% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The top-performing prediction in this forecast was SHFE_RB3, which registered a return of 8.60%. Other notable stocks were SHFE_RB2 and SHFE_RB5 with a return of 7.15% and 6.02%. The package had an overall average return of 0.86% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.41% 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 CME_O1 at 5.41%. SHFE_RB5 and SHFE_RB3 also performed well for this time horizon with returns of 3.83% and 3.71%, respectively. The package had an overall average return of 1.17% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 5.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from SHFE_RB5, at 5.28%. The suggested trades for SHFE_RB3 and SHFE_RB2 also had notable 7 Days yields of 3.86% and 3.66%, respectively. The package had an overall average return of 1.31% during the period.

Commodities Prices Prediction Based on Genetic Algorithms: Returns up to 5.58% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. SHFE_RB5 was the top performing prediction with a return of 5.58%. SHFE_RB3 and SHFE_RB2 saw outstanding returns of 4.52% and 4.26%. The package had an overall average return of 1.14% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 6.59% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. SHFE_RB5 was the top performing prediction with a return of 6.59%. SHFE_RB3 and SHFE_RB2 saw outstanding returns of 5.88% and 4.92%. The package had an overall average return of 1.08% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 8.08% in 14 Days

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. SHFE_RB5 was our best stock pick this week a return of 8.08%. SHFE_RB3 and SHFE_RB2 followed with returns of 7.51% and 6.30% for the 14 Days period. The package had an overall average return of 1.79% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 5.40% 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 greatest return came from SHFE_RB3 at 5.40%. SHFE_RB5 and SHFE_RB2 also performed well for this time horizon with returns of 5.33% and 5.03%, respectively. The package had an overall average return of 1.66% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 11.15% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. SHFE_RB2 was the top performing prediction with a return of 11.15%. CME_HO1 and CME_RB1 saw outstanding returns of 7.09% and 6.75%. CME_WS1 and CME_CL1 saw outstanding returns of 5.82% both.  Finally, ICE_CC5 gave outstanding return of 3.64%. The package had an overall average return of 4.25% during the period.

Daily Commodity Market Forecast Based on Machine Learning: Returns up to 11.39% in 1 Month

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. SHFE_RB2 was the highest-earning trade with a return of 11.39% in 1 Month. Additional high returns came from ICE_CC1 and ICE_CC5, at 10.19% and 8.56% respectively. Finally, positive returns came from ICE_B1 and CME_HO1, at 7.08% and 6.63% respectively. The package had an overall average return of 5.94% during the period.

Commodities Price Outlook Based on Artificial Intelligence: Returns up to 5.94% in 14 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 5.94%. ICE_CC5, and CME_HO1 had notable returns of 5.71% and 3.20%. CME_RB1, and ICE_B1 had notable returns of 3.09% and 2.84%. ICE_KC1, and CME_W5 had notable returns of 2.60% both. The package had an overall average return of 2.83% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 6.60% in 3 Days

In this 3 Days 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_W1, which registered a return of 6.60%. Other notable stocks were ICE_OJ1 and ICE_IW1 with a return of 4.41% and 3.07%. Other notable stocks were ICE_CC1 and CME_LC1 with a return of 1.03% and 1.00%. The package had an overall average return of 1.50% during the period.

Commodity Research Based on a Self-learning Algorithm: Returns up to 6.72% in 7 Days

Commodities Forecast from November 21st, 2016 to November 28th, 2017 based on I Know First forecast algorithm.

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