Commodity Futures Based on Data Mining: Returns up to 5.05% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The prediction with the highest return was ICE_CC1, at 5.05%. SHFE_RB3 and SHFE_RB5 followed with returns of 3.7% and 3.48% for the 3 Days period. The package had an overall average return of 2.29% during the period.

Commodity Futures Based on AI: Returns up to 12.64% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. ICE_KC1 was our best stock pick this week a return of 12.64%. Other notable stocks were SHFE_RU1 and CME_S1 with a return of 6.49% and 5.14%. The package had an overall average return of 2.01% during the period.

Commodity Futures Based on AI: Returns up to 4.9% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top performing prediction from this package was ICE_KC1 with a return of 4.9%. CME_NG1 and SHFE_RB2 followed with returns of 2.14% and 2.06% for the 3 Days period. The package had an overall average return of 1.32% during the period.

Commodity Futures Based on Algo Trading: Returns up to 5.45% 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 prediction with the highest return was CME_NG1, at 5.45%. SHFE_RB2 and ICE_SB1 followed with returns of 2.06% and 1.84% for the 3 Days period. The package had an overall average return of 1.66% during the period.

Commodity Futures Based on Data Mining: Returns up to 7.14% 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. CME_NG1 was the highest-earning trade with a return of 7.14% in 3 Days. ICE_KC1, and SHFE_RB2 had notable returns of 1.67% and 0.87%. The package had an overall average return of 1.05% during the period.

Commodity Futures Based on Big Data Analytics : Returns up to 3.8% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The highest trade return came from CME_NG1, at 3.8%. CME_CL1 and CME_WS1 followed with returns of 3.32% and 3.32% for the 14 Days period. The package had an overall average return of 1.56% during the period.

Commodity Futures Based on Pattern Recognition: Returns up to 7.09% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from SHFE_RU1, at 7.09%. The suggested trades for CME_CL1 and SHFE_ZN5 also had notable 1 Month yields of 5.91% and 2.83%, respectively. The package had an overall average return of 1.51% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 11.83% in 14 Days

8 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 11.83%. The suggested trades for CME_S1 and SHFE_RU1 also had notable 14 Days yields of 3.77% and 3.45%, respectively. The package had an overall average return of 2.74% during the period.

Commodity Futures Based on Stock Algorithm: Returns up to 8.94% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_CL1 was the top performing prediction with a return of 8.94%. SHFE_RU1 and SHFE_RB2 also performed well for this time horizon with returns of 6.98% and 3.43%, respectively. The package had an overall average return of 2.9% during the period.

Commodity Futures Based on Genetic Algorithms: Returns up to 10.27% in 7 Days

In this 7 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 ICE_B1, which registered a return of 10.27%. Further notable returns came from CME_NG1 and CME_CL1 at 3.21% and 2.58%, respectively. The package had an overall average return of 2.14% 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 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 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 Market Review: Oil and China’s Steel Rebar Price Surge

Summary: Gasoline (CME_RB1) has seen a price increase of 12.01% over the past month Shanghai Steel Rebar Futures (SHFE_RB2) are up on the rise with a 8.43% increase Brent Crude Futures (ICE_B1) are up on the rise with a 7.72% increase Ending Sanctions Led to Surge in Oil Prices Gasoline (CME_RB1) are up on the […]

Commodity Futures Prediction Based on Deep Learning: Returns up to 12.01% in 1 Month

eral predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 12.01%. SHFE_RB2 and ICE_B1 saw outstanding returns of 8.43% and 7.72%. The package had an overall average return of 3.07% during the period.

Commodity Futures Outlook Based on Artificial Intelligence: Returns up to 13.12% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking stock advice. The best performance in the short position came from ICE_OJ1 which registered a return of 13.12%. For the long positions the largest growth was registered by CME_RB1 with a return of 5.54%, during the same period. The package itself, had an overall average return of 1.50%, in the long position, providing a premium of 0.11% over the SP500’s return of 1.39%. With regards to the short position, the package had an overall average return of 3.37%, providing investors with a premium of 1.98% over S&P500’s return of 1.39%. The I Know First’s Stock Market Algorithm accurately forecasted 7 out of 10 stocks, for the long position, and 10 out of 10 stocks, for the short position for this 14 Days forecasted period.

Commodity Futures Forecast Based on Stock Prediction Algorithm: Returns up to 8.65% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from CME_O1 at 8.65%. SHFE_RB5 and SHFE_RB3 also performed well for this time horizon with returns of 1.13% and 0.81%, respectively. The package had an overall average return of 0.31% during the period.

Commodity Futures Forecast Based on Big Data: Returns up to 10.92% in 1 Month

During the 1 Month 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 ICE_B1, at 10.92%. Further notable returns came from CME_RB1 and CME_CL1 at 10.71% and 10.45%, respectively. The package had an overall average return of 3.11% during the period.