Commodity Futures Based on Pattern Recognition: Returns up to 15.9% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The prediction with the highest return was CME_NG1, at 15.9%. The suggested trades for SHFE_RU1 and ICE_OJ1 also had notable 14 Days yields of 5.41% and 4.38%, respectively. The package had an overall average return of 3.13% during the period.

Commodity Futures Based on Stock Algorithm: Returns up to 8.23% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. CME_NG1 was the top performing prediction with a return of 8.23%. Other notable stocks were ICE_OJ1 and SHFE_ZN5 with a return of 5.93% and 3.22%. The package had an overall average return of 2.67% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 15.7% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was CME_NG1, which registered a return of 15.7%. Additional high returns came from CME_CL1 and SHFE_RU1, at 7.01% and 6.67% respectively. The package had an overall average return of 3.92% during the period.

Commodity Futures Based on Deep-Learning : Returns up to 12.91% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 7 Days time period. CME_NG1 was our best stock pick this week a return of 12.91%. Further notable returns came from ICE_B1 and CME_CL1 at 6.7% and 4.17%, respectively. The package had an overall average return of 3.82% during the period.

Commodity Futures Based on Algo Trading: Returns up to 6.16% 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 top performing prediction from this package was CME_NG1 with a return of 6.16%. Additional high returns came from CME_CL1 and CME_WS1, at 2.75% and 2.75% respectively. The package had an overall average return of 1.25% during the period.

Commodity Futures Based on Machine Learning: Returns up to 13.13% 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 top-performing prediction in this forecast was CME_NG1, which registered a return of 13.13%. CME_CL1 and CME_WS1 followed with returns of 4.99% and 4.99% for the 7 Days period. The package had an overall average return of 3.41% during the period.

Commodity Futures Based on Stock Market Algorithm: Returns up to 9.23% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. CME_NG1 was our best stock pick this week a return of 9.23%. Further notable returns came from SHFE_RU1 and SHFE_ZN5 at 4.0% and 2.7%, respectively. The package had an overall average return of 2.63% during the period.

Commodity Futures Based on Big Data Analytics : Returns up to 6.57% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 3 Days time period. CME_NG1 was the top performing prediction with a return of 6.57%. SHFE_RU1 and ICE_OJ1 also performed well for this time horizon with returns of 4.09% and 3.48%, respectively. The package had an overall average return of 2.19% during the period.

Commodity Futures Based on Machine Learning: Returns up to 3.43% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Days time period. CME_CL1 was the highest-earning trade with a return of 3.43% in 3 Days. ICE_B1 and SHFE_RU1 also performed well for this time horizon with returns of 2.59% and 1.2%, respectively. The package had an overall average return of 0.53% 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 Forecast Based on Big Data: Returns up to 7.08% in 7 Days

Several predictions in this short-term 7 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 7.08%. CME_CL1 and SHFE_RB2 saw outstanding returns of 7.08% and 6.76%. The package had an overall average return of 4.72% during the period.

Commodities Price Forecast Based on Predictive Analytics: Returns up to 6.91% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_CC1, at 6.91%. The suggested trades for CME_CL1 and CME_WS1 also had notable 7 Days yields of 6.37% and 6.37%, respectively. The package had an overall average return of 4.11% during the period.

Commodities Market Forecast Based on Artificial Intelligence: Returns up to 21.22% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 4 out of 10 movements. The highest trade return came from ICE_KC1, at 21.22%. The suggested trades for CME_O1 and CME_NG1 also had notable 1 Month yields of 17.39% and 7.89%, respectively. The package had an overall average return of 3.87% during the period.

Commodity Prediction Based on AI : Returns up to 28.61% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ICE_SB1 with a return of 28.61%. CME_O1, and CME_NG1 had notable returns of 18.57% and 9.21%. The package had an overall average return of 6.07% during the period.
Sugar No. 11 Futures, Continuous Contract #1.

Commodities Market Expectations Based on Algo Trading: Returns up to 18.73% in 1 Month

During the 1 Month 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 ICE_SB1, at 18.73%. Further notable returns came from CME_BO1 and SHFE_ZN5 at 7.77% and 5.24%, respectively. The package had an overall average return of 3.25% 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 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.