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 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 Outlook Based on Stock Algorithm: Returns up to 15.86% in 7 Days

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

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.

Commodity Outlook Based on AI: Returns up to 9.91% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The greatest return came from Nickel at 9.91%. Other notable stocks were XAU and XAG with a return of 4.53% and 4.04%. The package had an overall average return of 2.88% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 11.82% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The top-performing prediction in this forecast was Nickel, which registered a return of 11.82%. XAU and SLV followed with returns of 5.81% and 5.46% for the 14 Days period. The package had an overall average return of 3.8% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 8.45% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 8.45%. Additional high returns came from XAU and XAG, at 5.63% and 5.21% respectively. The package had an overall average return of 3.2% during the period.

Commodity Outlook Based on Machine Learning: Returns up to 7.33% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 7.33%. GDX and XAU also performed well for this time horizon with returns of 5.73% and 4.63%, respectively. The package had an overall average return of 2.87% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 3.03% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The highest trade return came from XAU, at 3.03%. GDX and Nickel also performed well for this time horizon with returns of 2.94% and 2.48%, respectively. The package had an overall average return of 0.19% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 10.32% in 14 Days

9 out of 10 top stock picks from the algorithm decreased as predicted for this 14 Days forecasting period. ^XNG saw monumental price change of 10.32% in just 14 Days. CME_NG1, and Uranium also had excellent performances with returns of 8.04% and 7.92% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 2.69% in 3 Days

In this 3 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 from this package was GDX with a return of 2.69%. The suggested trades for ICE_B1 and Nickel also had notable 3 Days yields of 2.3% and 2.0%, respectively. The package had an overall average return of 0.54% 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.