Commodity Outlook Based on Data Mining: Returns up to 10.87% in 14 Days

In this 14 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 Nickel, which registered a return of 10.87%. Other notable stocks were ^JPLAT and WOOD with a return of 10.84% and 3.48%. The package had an overall average return of 2.92% during the period.

Commodity Price Prediction Based on Machine Learning: Returns up to 11.52% in 14 Days

During the 14 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 Nickel, at 11.52%. Further notable returns came from XME and WOOD at 6.59% and 5.73%, respectively. The package had an overall average return of 3.48% during the period.
Nickel, as a metals commodity is traded on futures/forward contracts and the price movement is tracked on the Dow Jones-UBS Nickel Subindex (DJUBSNI).

Commodities Outlook Based on Artificial Intelligence: Returns up to 7.68% in 7 Days

8 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 7.68%. Nickel and Uranium followed with returns of 6.63% and 5.20% for the 7 Days period. The package had an overall average return of 2.06% during the period.

Commodities Markets Trends Based on Artificial Intelligence: Returns up to 10.31% in 7 Days

In this 7 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 Nickel, which registered a return of 10.31%. Other notable stocks were ^JPLAT and GDX with a return of 5.48% and 5.41%. The package had an overall average return of 3.80% during the period.

Commodities Forecast Based on Predictive Analytics : Returns up to 6.28% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Nickel was our best stock pick this week a return of 6.28%. CME_CL1 and ^JPLAT followed with returns of 2.73% and 2.57% for the 3 Days period. The package had an overall average return of 1.19% during the period.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 6.62% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from Nickel, at 6.62%. The suggested trades for WOOD and ^JPLAT also had notable 7 Days yields of 4.88% and 4.67%, respectively. The package had an overall average return of 2.98% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 6.29% 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_CL1 was the top performing prediction with a return of 6.29%. GDX and ^JPLAT saw outstanding returns of 5.22% and 2.63%. The package had an overall average return of 2.15% during the period.

Commodity Outlook Based on AI: Returns up to 6.57% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from Nickel, at 6.57%. The suggested trades for WOOD and KOL also had notable 7 Days yields of 5.35% and 3.21%, respectively. The package had an overall average return of 2.64% during the period.

Commodities Price Prediction Based on Data Mining: Returns up to 4.72% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. GDX was our best stock pick this week a return of 4.72%. Nickel and XME followed with returns of 3.22% and 3.02% for the 3 Days period. The package had an overall average return of 0.71% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.85% in 14 Days

In this 14 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 WOOD, which registered a return of 5.85%. Other notable stocks were CME_CL1 and XME with a return of 4.07% and 3.55%. The package had an overall average return of 2.83% during the period.

Commodity Price Prediction Based on Artificial Intelligence: 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 FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodities Price Prediction Based on Stock Prediction Algorithm: 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 FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

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.

Commodities Forecast Based on Algo Trading: Returns up to 5.26% in 3 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_HG1 was our best stock pick this week a return of 5.26%. ^CEX and PPLT followed with returns of 4.11% and 4.00% for the 3 Days period. The package had an overall average return of 2.36% during the period

Commodity Prediction Based on Machine Learning: Returns up to 4.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from Cocoa, at 4.65%. The suggested trades for ICE_CC1 and PALL also had notable 3 Days yields of 4.63% and 2.25%, respectively. The package had an overall average return of 0.73% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 11.57% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. JJU was our best stock pick this week a return of 11.57%. ^XOI and WEAT followed with returns of 5.29% and 3.43% for the 3 Days period. CME_W1 and GDX followed with returns of 3.18% and 3.08% for the same period. The package had an overall average return of 3.13% during the period.

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.

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 20.00% in 3 Months

Commodity Forecast from November 3rd, 2017 to February 3rd, 2018 based on I Know First forecast algorithm.

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