Commodity ETFs Based on Stock Prediction Algorithm: Returns up to 7.41% in 3 days

Commodity ETFs This Commodity ETFs Package is designed for investors who need commodity recommendations to find the best performing commodity ETFs in the industry. It includes 20 commodity ETFs with bullish or bearish signals indicating which are best to buy: Top 10 commodity ETFs for the long position Top 10 commodity ETFs for the short […]

Commodities ETFs Outlook Based on Pattern Recognition: Returns up to 7.54% in 14 Days

In this 14 Days 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 USO, which registered a return of 7.54%. Other notable stocks were PPLT and GSP with a return of 5.02% and 4.16%. The package had an overall average return of 1.93% during the period.

Commodity Price Outlook Based on Genetic Algorithms: Returns up to 6.91% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was Cocoa, at 6.91%. Further notable returns came from ICE_CC1 and CME_CL1 at 6.91% and 6.37%, respectively. The package had an overall average return of 3.86% during the period.

Commodities Price Forecast Based on Big Data Analytics: Returns up to 7.52% in 14 Days

During the 14 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 USO, at 7.52%. Further notable returns came from PPLT and Zinc at 6.20% and 4.43%, respectively. The package had an overall average return of 1.35% during the period.

Commodity Outlook Based on Big Data: Returns up to 18.36% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from CME_RB1 at 18.36%. Zinc and ICE_B1 also performed well for this time horizon with returns of 8.75% and 4.07%, respectively. The package had an overall average return of 2.03% during the period.

Commodity Forecast Based on Deep Learning: Returns up to 4.39% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from Cocoa, at 4.39%. The suggested trades for ICE_CC1 and Zinc also had notable 3 Days yields of 3.10% and 3.03%, respectively. The package had an overall average return of 1.34% during the period.

Commodities Prediction Based on Artificial Intelligence: Returns up to 11.01% in 14 Days

In this 14 Days 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 11.01%. Other notable stocks were CME_CL1 and CME_RB1 with a return of 4.47% and 4.41%. The package had an overall average return of 1.98% during the period.

Commodities Outlook Based on Artificial Intelligence: Returns up to 5.57% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was CME_RB1 with a return of 5.57%. ICE_OJ1, and CME_CL1 had notable returns of 5.27% and 5.20%. The package had an overall average return of 2.50% during the period.

Commodity Market Trends Based on Machine Learning: Returns up to 25.14% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 25.14%. PALL and CME_CL1 also performed well for this time horizon with returns of 12.20% and 3.67%, respectively. The package had an overall average return of 3.68% 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 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.

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 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.

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.

Commodities Outlook Based on a Self-learning Algorithm: Returns up to 16.68% in 14 Days

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

Commodity Prediction Based on Genetic Algorithms: Returns up to 13.37% in 14 Days

Commodities Forecast from August 16, 2017 to August 30, 2017 based on I Know First’s stock forecast algorithm.

Best Shares Based on Genetic Algorithms: Returns up to 14.33% in 14 Days

Commodities Forecast from August 15, 2017 to August 29, 2017 based on I Know First’s stock forecast algorithm.

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