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 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 Forecast Based on Stock Prediction Algorithm: Returns up to 9.82% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from CME_NG1 at 9.82%. Uranium and IYM also performed well for this time horizon with returns of 3.64% and 1.52%, respectively. The package had an overall average return of 1.88% 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 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 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 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.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 35.45% in 1 Year

Commodities Forecast from November 27th, 2016 to November 27th, 2017 based on I Know First forecast algorithm.

Commodity Outlook Based On Algorithm: Up to 12.82% and 12.69% Return in 1 Month

Gold ETF, Physical Gold from September 25th 2015 until October 25th 2015 based on “I Know First” stock forecast algorithm.