Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.85% in 14 Days

In this 14 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 WOOD, which registered a return of 5.85%. Other notable stocks were CME_CL1 and XME with a return of 4.07% and 3.55%. The package had an overall average return of 2.83% 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.

Commodity Price Prediction Based on Artificial Intelligence: 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 FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 5.24% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was CME_LC1 with a return of 5.24%. SHFE_RU1, and CME_S1 had notable returns of 3.73% and 3.62%. The package had an overall average return of 2.13% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 9.06% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 9.06%. The suggested trades for ^JPLAT and SLV also had notable 1 Month yields of 5.01% and 3.75%, respectively. The package had an overall average return of 2.39% during the period.

Commodities Price Prediction Based on Stock Prediction Algorithm: 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 FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% 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.

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.33% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. USO was the top performing prediction with a return of 5.33%. CME_CL1 and WOOD saw outstanding returns of 5.08% and 4.62%. The package had an overall average return of 2.42% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 19.08% 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 greatest return came from CME_NG1 at 19.08%. CME_LC1 and SHFE_RU1 also performed well for this time horizon with returns of 2.32% and 2.14%, respectively. The package had an overall average return of 1.96% during the period.
Historical Futures Prices: Natural Gas (Henry Hub) Physical Futures, Continuous Contract #1. Non-adjusted price based on spot-month continuous contract calculations. Raw data from CME.

Commodity Forecast Based on Algorithmic Trading: Returns up to 7.40% in 7 Days

In this 7 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 CME_CL1, which registered a return of 7.40%. Other notable stocks were USO and ^XNG with a return of 6.90% and 5.48%. The package had an overall average return of 2.22% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 8.80% 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 ^XNG at 8.80%. FCG and CME_CL1 also performed well for this time horizon with returns of 6.97% and 5.32%, respectively. The package had an overall average return of 2.00% during the period.

Commodities Price Outlook Based on Algorithmic Trading: Returns up to 9.65% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_CL1 was our best stock pick this week a return of 9.65%. USO and ^XNG followed with returns of 9.04% and 8.34% for the 3 Days period. The package had an overall average return of 5.45% during the period.
Crude Oil Futures, Continuous Contract #1.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 8.22% in 7 Days

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The top performing prediction from this package was ^XNG with a return of 8.22%. CME_CL1, and FCG had notable returns of 7.57% and 6.34%. The package had an overall average return of 2.25% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.10% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 7.10%. The suggested trades for ^JPLAT and SLV also had notable 14 Days yields of 5.55% and 3.47%, respectively. The package had an overall average return of 2.05% during the period.

Commodity Forecast Based on Algo Trading: Returns up to 6.56% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from SLV at 6.56%. PALL and ^JPLAT also performed well for this time horizon with returns of 6.33% and 4.80%, respectively. The package had an overall average return of 3.00% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 9.17% in 3 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was CME_CL1 with a return of 9.17%. USO, and ^XNG had notable returns of 8.55% and 7.68%. The package had an overall average return of 4.72% 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.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 8.79% 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 FCG, at 8.79%. Further notable returns came from ^XNG and USO at 7.92% and 3.42%, respectively. The package had an overall average return of 2.79% during the period