Commodity Price Outlook Based on Algo Trading: Returns up to 9.72% in 14 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ^JPLAT was the highest-earning trade with a return of 9.72% in 14 Days. Additional high returns came from CME_RB1 and PALL, at 8.24% and 4.30% respectively. The package had an overall average return of 2.39% during the period.

Commodities Price Predictions Based on Artificial Intelligence: Returns up to 14.96% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 14.96%. PALL and CME_RB1 saw outstanding returns of 13.00% and 8.88%. The package had an overall average return of 6.93% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 13.20% 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 ^JPLAT, which registered a return of 13.20%. Other notable stocks were CME_RB1 and CME_CL1 with a return of 13.00% and 8.21%. The package had an overall average return of 5.98% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 11.17% 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 ^JPLAT, which registered a return of 11.17%. Other notable stocks were CME_RB1 and ICE_B1 with a return of 10.83% and 8.11%. The package had an overall average return of 4.41% during the period.

Commodities Markets Trends Based on Algorithmic Trading: Returns up to 10.83% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 10.83%. ICE_B1 and ^JPLAT followed with returns of 7.71% and 5.68% for the 3 Days period. The package had an overall average return of 2.89% 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.

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.

Commodity Forecast Based on AI: Returns up to 5.98% 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 ICE_CT1 at 5.98%. CME_NG1 and CME_HG1 also performed well for this time horizon with returns of 2.53% and 1.79%, respectively. The package had an overall average return of 1.02% during the period.

Commodities Market Review: Copper Price Soared to a Four-Year High

Starting from June, industrial metals, especially copper, have been the big movers in the commodities market. On June 8, the LME Copper soared to $7261.5 per ton, reaching its highest price since January 2014. The price of copper is essentially determined by the supply and demand relationship as well as the broad economic factors, such […]

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.

Top Commodities Based on a Self-learning Algorithm: Returns up to 4.20% in 3 Days

Commodities Forecast from October 13, 2017 to October 16, 2017 based on I Know First’s stock forecast algorithm.

Commodity Forecast Based on Machine Learning: Returns up to 3.47% in 3 Days

Commodities Forecast from October 8, 2017 to October 11, 2017 based on I Know First’s stock forecast algorithm.

Commodity Forecast Based on AI: Returns up to 21.24% in 1 Month

Commodities Forecast from August 6, 2017 to September 6, 2017 based on I Know First’s stock forecast algorithm

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 8.02% in 14 Days

Commodities Forecast from July 18, 2017 to August 1, 2017 based on I Know First’s stock forecast algorithm.

Commodity Prediction Based on Algo Trading: Returns up to 9.54% in 7 Days

Commodities Forecast from July 21, 2017 to July 28, 2017 based on I Know First’s stock forecast algorithm.

Commodity Outlook Based on Machine Learning: Returns up to 57.16% in 1 Year

Commodities Forecast from June 26, 2016 to June 26, 2017 based on I Know First’s stock forecast algorithm.

I Know First Weekly Review: March 7th, 2017

On March 7, 2017, our weekly newsletter was sent out to all our I Know First subscribers, which can be found here. Below, find the I Know First Weekly Reviews, highlighting the algorithm’s performance for this past week.

Commodity Outlook Based on Genetic Algorithm: Over 15% Return In 3 Months

Commodities Forecast from November 16th, 2017 to February 16th, 2017 based on I Know First’s stock forecast algorithm.