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 Price Prediction Based on Algorithmic Trading: Returns up to 9.17% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was CME_CL1, at 9.17%. Further notable returns came from CME_WS1 and CME_RB1 at 9.17% and 5.76%, respectively. The package had an overall average return of 3.31% during the period.

Commodities Market Expectations Based on AI: Returns up to 24.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_SB1, at 24.66%. The suggested trades for ICE_KC1 and CME_O1 also had notable 14 Days yields of 13.55% and 10.32%, respectively. The package had an overall average return of 7.25% during the period.

Commodities Market Predictions Based on a Self-learning Algorithm: Returns up to 8.61% in 7 Days

During the 7 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_NG1, at 8.61%. Further notable returns came from CME_O1 and ICE_KC1 at 6.61% and 6.34%, respectively. The package had an overall average return of 2.88% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 16.94% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_SB1, at 16.94%. The suggested trades for CME_O1 and ICE_B1 also had notable 14 Days yields of 15.26% and 6.94%, respectively. The package had an overall average return of 5.90% during the period.

Commodity Predictions Based on a Self-learning Algorithm: Returns up to 7.38% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 7.38%. ICE_KC1 and CME_CL1 followed with returns of 5.08% and 4.31% for the 3 Days period. The package had an overall average return of 3.34% during the period.

Commodities Market Outlook Based on Genetic Algorithms: Returns up to 13.55% in 14 Days

In this 14 Days 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 ICE_SB1, which registered a return of 13.55%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 10.88% and 8.65%. The package had an overall average return of 4.26% during the period.

Commodities Algorithmic Forecast Based on AI: Returns up to 4.90% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was CME_O1, which registered a return of 4.90%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 4.31% and 3.99%. The package had an overall average return of 2.25% during the period.

Commodities Prices Forecast Based on Algorithmic Trading: Returns up to 5.30% 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 5.30%. CME_WS1 and CME_CL1 also performed well for this time horizon with returns of 4.37% and 4.37%, respectively. The package had an overall average return of 2.45% during the period.

Commodities Market Forecast Based on Algo Trading: Returns up to 9.22% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ICE_SB1, at 9.22%. The suggested trades for CME_WS1 and ICE_B1 also had notable 14 Days yields of 9.17% and 8.88%, respectively. The package had an overall average return of 3.67% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 4.41% 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. CME_WS1 was the top performing prediction with a return of 4.41%. CME_O1 and CME_NG1 saw outstanding returns of 3.65% and 1.24%. The package had an overall average return of 1.21% during the period.

Commodities Forecasts Based on Machine Learning: Returns up to 5.09% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from CME_NG1 at 5.09%. CME_O1 and ICE_B1 also performed well for this time horizon with returns of 4.41% and 2.92%, respectively. The package had an overall average return of 1.85% during the period.

Commodities Prices Projections Based on a Self-learning Algorithm: Returns up to 4.12% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The prediction with the highest return was CME_O1, at 4.12%. Further notable returns came from CME_HG1 and CME_WS1 at 3.49% and 2.50%, respectively. The package had an overall average return of 1.09% during the period.

Commodities Predictions Based on Machine Learning: Returns up to 8.32% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecast Package for the 1 Month time period. The greatest return came from CME_RB1 at 8.32%. Other notable futures were ICE_B1 and CME_WS1 with a return of 6.97% and 5.61%. Finally, positive returns were provided by CME_CL1 and ICE_CT1 with a return of 5.48% and 3.45%. The package itself saw an overall return of 2.12%, providing investors with a 2.12%.

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.

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