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

Commodities Outlook Based on Genetic Algorithms: Returns up to 9.33% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from PALL at 9.33%. SLV and Cocoa also performed well for this time horizon with returns of 6.77% and 6.12%, respectively. The package had an overall average return of 4.38% during the period.

Commodities Forecast Based on Algo Trading: Returns up to 28.84% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The prediction with the highest return was ICE_KC1, at 28.84%. Further notable returns came from SHFE_RU1 and SHFE_RB2 at 23.10% and 10.25%, respectively. The package had an overall average return of 4.11% during the period.

Commodity Outlook Based on Data Mining: Returns up to 5.22% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from FCG at 5.22%. KOL and ^XNG also performed well for this time horizon with returns of 4.38% and 3.57%, respectively. The package had an overall average return of 2.33% during the period.

Commodities Price Forecast Based on AI: Returns up to 7.13% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 2 out 2 stock movements. XAU was the top performing prediction with a return of 7.13%. GLD saw outstanding return of 7.01%. The package had an overall average return of 7.07% during the period.

Commodities Price Prediction Based on Algo Trading: Returns up to 8.41% in 14 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 8.41%. SLV, and ^JPLAT had notable returns of 7.21% and 4.68%. The package had an overall average return of 4.02% during the period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 4.97% 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 SLV, which registered a return of 4.97%. Other notable stocks were ICE_CC1 and Cocoa with a return of 4.36% and 3.41%. The package had an overall average return of 1.91% during the period.

Commodities Price Prediction Based on Deep Learning: Returns up to 5.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from Cocoa at 5.90%. SLV and ICE_CC1 also performed well for this time horizon with returns of 4.69% and 4.36%, respectively. The package had an overall average return of 2.13% during the period.