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 Forecast Based on Algorithmic Trading: Returns up to 5.30% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from CME_O1 at 5.30%. CME_WS1 and CME_CL1 also performed well for this time horizon with returns of 4.37% and 4.37%, respectively. The package had an overall average return of 2.45% 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 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 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 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.

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.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.41% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from CME_O1 at 5.41%. SHFE_RB5 and SHFE_RB3 also performed well for this time horizon with returns of 3.83% and 3.71%, respectively. The package had an overall average return of 1.17% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 5.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from SHFE_RB5, at 5.28%. The suggested trades for SHFE_RB3 and SHFE_RB2 also had notable 7 Days yields of 3.86% and 3.66%, respectively. The package had an overall average return of 1.31% during the period.

Commodities Prices Prediction Based on Genetic Algorithms: Returns up to 5.58% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. SHFE_RB5 was the top performing prediction with a return of 5.58%. SHFE_RB3 and SHFE_RB2 saw outstanding returns of 4.52% and 4.26%. The package had an overall average return of 1.14% during the period.

Commodities Price Outlook Based on Algo Trading: Returns up to 11.71% 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. CME_W1 was the top performing prediction with a return of 11.71%. LIFFE_EMA1 and CME_W5 saw outstanding returns of 10.56% and 9.04%. The package had an overall average return of 4.09% during the period.

Commodities Price Outlook Based on Machine Learning: Returns up to 9.41% in 7 Days

Commodites Price Forecast for 3 days from July 25 2018 to August 01, 2018.

Commodities Outlook Based on Algorithmic Trading: Returns up to 5.18% in 3 Days

Commodities Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 18 Commodities Outlook with bullish or bearish signals indicating which are best to buy: Top 9 commodities for the long position Top 9 commodities for the short position Package Name: Commodities […]

Commodities Market Prediction Algorithm

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

Commodities Price Outlook Based on Machine Learning: Returns up to 5.02% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. USO was the highest-earning trade with a return of 5.02% in 3 Days. Additional high returns came from CME_CL1 and CME_RB1, at 4.54% and 3.41% respectively. The package had an overall average return of 1.83% during the period.

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