Commodities Forecast Based on Algo Trading: Returns up to 10.32% 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. CME_RB1 was the top performing prediction with a return of 10.32%. ^JPLAT and CME_CL1 saw outstanding returns of 6.60% and 5.60%. The package had an overall average return of 2.53% during the period.

Commodities Markets Trends Based on Algorithmic Trading: Returns up to 10.83% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 10.83%. ICE_B1 and ^JPLAT followed with returns of 7.71% and 5.68% for the 3 Days period. The package had an overall average return of 2.89% 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.

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.

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.

Commodities Markets Analytics Based on AI: Returns up to 18.50% in 1 Month

During the 1 Month forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ICE_B1 which registered a return of 14.55%. For the long positions the largest growth was registered by CME_NG1 with a return of 18.50%, during the same period. The package itself, had an overall average return of 2.37%, in the long position. With regards to the short position, the package had an overall average return of 9.86%. The I Know First Algorithm accurately forecasted 5 out of 10 commodities, for the long position, and 9 out of 10 commodities, for the short position for this 1 Month forecasted period.

Commodities Prices Analysis Based on Data Mining: Returns up to 9.09% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ^XNG which registered a return of 6.36%. For the long positions the largest growth was registered by PALL with a return of 9.09%, during the same period. The package itself, had an overall average return of 2.13%, in the long position. With regards to the short position, the package had an overall average return of 2.06%. The I Know First Algorithm accurately forecasted 8 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 14 Days forecasted period.

Commodity Predictions Based on a Self-learning Algorithm: Returns up to 7.38% in 3 Days

10 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 7.38%. ICE_KC1 and CME_CL1 followed with returns of 5.08% and 4.31% for the 3 Days period. The package had an overall average return of 3.34% during the period.

Commodities Algorithmic Forecast Based on AI: Returns up to 4.90% 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 top-performing prediction in this forecast was CME_O1, which registered a return of 4.90%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 4.31% and 3.99%. The package had an overall average return of 2.25% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 4.41% in 3 Days

Several predictions in this short-term 3 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 4.41%. CME_O1 and CME_NG1 saw outstanding returns of 3.65% and 1.24%. The package had an overall average return of 1.21% during the period.

Commodities Market Predictions Based on Algo Trading: Returns up to 5.27% in 7 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ^JPLAT was the highest-earning trade with a return of 5.27% in 7 Days. Additional high returns came from PALL and CME_RB1, at 5.09% and 3.17% respectively. The package had an overall average return of 1.52% during the period.

Commodity Market Predictions Based on Genetic Algorithms: Returns up to 5.09% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 5.09%. ^JPLAT, and CME_RB1 had notable returns of 3.28% and 3.17%. The package had an overall average return of 1.36% during the period.

Commodity Market Forecast Based on a Self-learning Algorithm: Returns up to 3.55% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from PALL, at 3.55%. The suggested trades for CME_RB1 and ICE_B1 also had notable 3 Days yields of 3.16% and 2.57%, respectively. The package had an overall average return of 0.68% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 2.95% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from PALL, at 2.95%. The suggested trades for ^JPLAT and USO also had notable 3 Days yields of 2.64% and 1.59%, respectively. The package had an overall average return of 0.71% during the period.

Commodities Market Prediction Based on a Self-learning Algorithm: Returns up to 3.10% in 3 Days

During the 3 Days 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 ^JPLAT, at 3.10%. Further notable returns came from USO and CME_CL1 at 1.61% and 1.53%, respectively. The package had an overall average return of 0.89% during the period.

Commodities Price Outlook Based on Machine Learning: Returns up to 4.02% in 7 Days

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

Commodities Predictions Based on Machine Learning: Returns up to 8.32% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecast Package for the 1 Month time period. The greatest return came from CME_RB1 at 8.32%. Other notable futures were ICE_B1 and CME_WS1 with a return of 6.97% and 5.61%. Finally, positive returns were provided by CME_CL1 and ICE_CT1 with a return of 5.48% and 3.45%. The package itself saw an overall return of 2.12%, providing investors with a 2.12%.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 11.15% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. SHFE_RB2 was the top performing prediction with a return of 11.15%. CME_HO1 and CME_RB1 saw outstanding returns of 7.09% and 6.75%. CME_WS1 and CME_CL1 saw outstanding returns of 5.82% both.  Finally, ICE_CC5 gave outstanding return of 3.64%. The package had an overall average return of 4.25% during the period.

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