Commodity Futures Based on Algorithmic Trading: Returns up to 4.25% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The prediction with the highest return was CME_RB1, at 4.25%. ICE_SB1 and CME_WS1 saw outstanding returns of 3.52% and 3.52%. The package had an overall average return of 1.82% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 16.99% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from PALL at 16.99%. Other notable stocks were PHAU.MI and ICE_SB1 with a return of 5.62% and 4.49%. The package had an overall average return of 3.31% during the period.

Commodity Price Forecast Based on AI: Returns up to 3.9% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. CME_RB1 was the top performing prediction with a return of 3.9%. Further notable returns came from WOOD and PHAU.MI at 2.97% and 2.1%, respectively. The package had an overall average return of 1.34% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.76% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The highest trade return came from PALL, at 6.76%. The suggested trades for Cocoa and ICE_CC1 also had notable 14 Days yields of 5.62% and 4.57%, respectively. The package had an overall average return of 2.28% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 3.9% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The prediction with the highest return was CME_RB1, at 3.9%. WOOD and PHAU.MI saw outstanding returns of 2.97% and 1.99%. The package had an overall average return of 1.33% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 3.69% in 3 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The top performing prediction from this package was CME_RB1 with a return of 3.69%. Other notable stocks were ICE_CC1 and ICE_SB1 with a return of 3.03% and 1.61%. The package had an overall average return of 1.51% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 3.28% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 8 out of 10 movements. ICE_SB1 was the top performing prediction with a return of 3.28%. KOL and ^CEX saw outstanding returns of 1.87% and 1.47%. The package had an overall average return of 1.02% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 7.54% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ICE_CC1 was our best stock pick this week a return of 7.54%. ICE_OJ1 and NLR saw outstanding returns of 3.81% and 1.1%. The package had an overall average return of 1.07% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 6.07% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ICE_CC1 was our best stock pick this week a return of 6.07%. ^CEX and IYM saw outstanding returns of 2.27% and 1.95%. The package had an overall average return of 0.94% during the period.

Commodity Price Forecast Based on Predictive Analytics: Returns up to 6.08% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The highest trade return came from PALL, at 6.08%. Other notable stocks were Cocoa and ICE_CC1 with a return of 3.13% and 3.13%. The package had an overall average return of 1.43% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 9.88% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 3 Days time period. The top performing prediction from this package was PALL with a return of 9.88%. ICE_CC1, and Cocoa had notable returns of 4.75% and 4.75%. The package had an overall average return of 1.98% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.32% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from PALL, at 6.32%. PPLT and Cocoa also performed well for this time horizon with returns of 4.28% and 3.86%, respectively. The package had an overall average return of 1.77% during the period.

Commodity Futures Based on Deep-Learning : Returns up to 6.51% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from SHFE_RU1, at 6.51%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 5.58% and 5.58%, respectively. The package had an overall average return of 1.26% during the period.

Commodity Futures Based on Machine Learning: Returns up to 6.68% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. SHFE_RU1 was the top performing prediction with a return of 6.68%. Additional high returns came from SHFE_RB3 and CME_CL1, at 5.22% and 4.31% respectively. The package had an overall average return of 1.22% during the period.

Commodity Futures Based on Data Mining: Returns up to 3.1% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The top-performing prediction in this forecast was SHFE_RU1, which registered a return of 3.1%. Further notable returns came from SHFE_RB5 and CME_WS1 at 1.65% and 1.61%, respectively. The package had an overall average return of 0.54% during the period.

Commodity Futures Based on AI: Returns up to 13.79% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. The top performing prediction from this package was SHFE_RU1 with a return of 13.79%. Additional high returns came from ICE_KC1 and SHFE_RB5, at 8.66% and 3.52% respectively. The package had an overall average return of 2.66% during the period.

Commodity Futures Based on AI: Returns up to 13.79% in 14 Days

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

Commodity Futures Based on Data Mining: Returns up to 5.8% in 7 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top performing prediction from this package was CME_WS1 with a return of 5.8%. CME_CL1, and ICE_B1 had notable returns of 5.8% and 5.52%. The package had an overall average return of 2.23% during the period.