Commodities Price Expectations Based on Machine Learning: Returns up to 15.75% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 15.75%. CME_NG1, and NaturalGas had notable returns of 10.77% and 9.89%. The package had an overall average return of 6.02% during the 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 Market Outlook Based on Genetic Algorithms: Returns up to 13.55% in 14 Days

In this 14 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 ICE_SB1, which registered a return of 13.55%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 10.88% and 8.65%. The package had an overall average return of 4.26% 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 Market Forecast Based on Algo Trading: Returns up to 9.22% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ICE_SB1, at 9.22%. The suggested trades for CME_WS1 and ICE_B1 also had notable 14 Days yields of 9.17% and 8.88%, respectively. The package had an overall average return of 3.67% during the period.

Commodity Expectations Based on a Self-learning Algorithm: Returns up to 17.87% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 17.87%. Other notable stocks were ICE_B1 and CME_NG1 with a return of 9.45% and 8.57%. The package had an overall average return of 5.35% 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 Prices Based on Artificial Intelligence: Returns up to 17.52% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 17.52%. PALL, and CME_NG1 had notable returns of 8.98% and 7.65%. The package had an overall average return of 3.68% during the period.

Commodities Forecasts Based on Machine Learning: Returns up to 5.09% 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 greatest return came from CME_NG1 at 5.09%. CME_O1 and ICE_B1 also performed well for this time horizon with returns of 4.41% and 2.92%, respectively. The package had an overall average return of 1.85% during the period.

Commodities Market Expectations Based on Artificial Intelligence: Returns up to 17.16% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 17.16%. PALL and ICE_B1 also performed well for this time horizon with returns of 13.23% and 8.54%, respectively. The package had an overall average return of 3.93% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 23.72% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from ^JPLAT at 23.72%. PALL and ^APAPR.T also performed well for this time horizon with returns of 10.01% and 3.96%, respectively. The package had an overall average return of 3.36% during the period.

Commodities Prices Expectations Based on Genetic Algorithms: Returns up to 24.76% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 24.76%. ICE_B1, and CME_NG1 had notable returns of 7.98% and 3.57%. The package had an overall average return of 3.96% during the period.

Commodities Market Outlook Based on Machine Learning: Returns up to 17.17% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ^JPLAT, at 17.17%. Further notable returns came from ^APAPR.T and PALL at 8.38% and 7.51%, respectively. The package had an overall average return of 4.33% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 16.69% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 16.69%. PALL and ^APAPR.T saw outstanding returns of 8.19% and 6.13%. The package had an overall average return of 3.35% during the period.

Commodity Predictions Based on Machine Learning: Returns up to 19.96% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ^JPLAT, at 19.96%. The suggested trades for PALL and CME_HG1 also had notable 7 Days yields of 8.35% and 7.17%, respectively. The package had an overall average return of 4.58% during the period.

Commodities Market Expectations Based on Genetic Algorithms: Returns up to 24.14% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 24.14%. ICE_B1, and MOO had notable returns of 5.45% and 3.17%. The package had an overall average return of 4.08% during the period.

Commodities Market Forecast Based on Genetic Algorithms: Returns up to 19.96% in 7 Days

The algorithm correctly predicted 7 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 19.96% in 7 Days. Additional high returns came from CME_HG1 and PALL, at 7.95% and 7.65% respectively. The package had an overall average return of 4.69% during the period.

Commodities Prices Forecast Based on Algorithmic Trading: Returns up to 5.70% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. PALL was our best commodities prices forecast for this week a return of 5.70%. ^JPLAT and CME_LC1 followed with returns of 4.88% and 2.94% for the 14 Days period. The package had an overall average return of 1.11% during the period.