Commodities Market Expectations Based on Machine Learning: Returns up to 6.62% 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_O1 was the top performing prediction with a return of 6.62%. CME_CL1 and CME_NG1 saw outstanding returns of 6.39% and 3.93%. The package had an overall average return of 1.70% 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 Prices Predictions Based on Genetic Algorithms: Returns up to 5.12% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ^JPLAT, at 5.12%. The suggested trades for Zinc and CME_NG1 also had notable 3 Days yields of 4.15% and 3.56%, respectively. The package had an overall average return of 1.88% 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.

Gold Market Expectations Based on Algo Trading: Returns up to 2.10% in 7 Days

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Market Expectations predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for:

  • Gold ETF (GLD) direction
  • Physical Gold (XAU) direction

Commodities Prices Projections Based on a Self-learning Algorithm: Returns up to 4.12% 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 CME_O1, at 4.12%. Further notable returns came from CME_HG1 and CME_WS1 at 3.49% and 2.50%, respectively. The package had an overall average return of 1.09% 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 Prices Based on Algo Trading: Returns up to 13.25% 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. ^JPLAT was the top performing prediction with a return of 13.25%. Copper and CME_HG1 saw outstanding returns of 4.70% and 4.67%. The package had an overall average return of 3.12% during the period.

Commodities Predictions Based on a Self-learning Algorithm: Returns up to 19.22% in 3 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 19.22%. PALL and Uranium followed with returns of 6.62% and 4.98% for the 3 Days period. The package had an overall average return of 4.61% 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.

Commodity Market Predictions Based on AI: Returns up to 6.05% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. PALL was the top performing prediction with a return of 6.05%. GDX and ^APAPR.T saw outstanding returns of 4.28% and 3.65%. The package had an overall average return of 1.75% during the period.

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