Commodities Price Prediction Based on Artificial Intelligence: Returns up to 22.56% in 1 Month

In this 1 Month 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 CME_RB1, which registered a return of 22.56%. Other notable stocks were ^JPLAT and PALL with a return of 21.98% and 7.73%. The package had an overall average return of 5.94% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 12.86% in 14 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 12.86%. CME_RB1 and PALL followed with returns of 8.44% and 6.25% for the 14 Days period. The package had an overall average return of 3.74% during the period.

Commodities Prediction Based on Data Mining: Returns up to 23.35% in 1 Month

During the 1 Month 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 ^JPLAT, at 23.35%. Further notable returns came from CME_RB1 and PALL at 20.36% and 10.84%, respectively. The package had an overall average return of 6.56% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.89% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 9.89%. PALL, and CME_CL1 had notable returns of 4.62% and 3.94%. The package had an overall average return of 2.59% during the period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 9.87% in 14 Days

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 9.87%. CME_RB1, and CME_CL1 had notable returns of 8.81% and 5.90%. The package had an overall average return of 2.74% during the period.

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 Forecast Based on AI: Returns up to 5.96% in 3 Days

During the 3 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 ^JPLAT, at 5.96%. Further notable returns came from ICE_OJ1 and CME_RB1 at 2.88% and 1.80%, respectively. The package had an overall average return of 1.56% during the period.

Commodities Price Prediction Based on Stock Market Algorithm: Returns up to 24.69% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 24.69%. Other notable stocks were CME_RB1 and PALL with a return of 19.70% and 9.92%. The package had an overall average return of 6.47% during the period.

Commodities Prediction Based on Machine Learning: Returns up to 6.99% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ^JPLAT, at 6.99%. The suggested trades for Zinc and CME_CL1 also had notable 7 Days yields of 3.32% and 3.28%, respectively. The package had an overall average return of 2.18% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 21.38% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.38%. Other notable stocks were CME_RB1 and PALL with a return of 18.11% and 8.36%. The package had an overall average return of 5.72% during the period.

Commodities Price Forecast Based on a Self-learning Algorithm: Returns up to 57.09% in 3 Months

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 57.09%. PALL and GDX followed with returns of 22.66% and 10.83% for the 3 Months period. The package had an overall average return of 6.63% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 20.76% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from ^JPLAT, at 20.76%. The suggested trades for PALL and Nickel also had notable 1 Month yields of 10.90% and 6.23%, respectively. The package had an overall average return of 4.46% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 20.11% in 1 Month

During the 1 Month 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 ^JPLAT, at 20.11%. Further notable returns came from PALL and CME_CL1 at 7.84% and 6.35%, respectively. The package had an overall average return of 3.38% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 20.11% in 1 Month

7 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 20.11%. PALL and CME_CL1 followed with returns of 7.84% and 6.35% for the 1 Month period. The package had an overall average return of 3.68% 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.

Commodity Outlook Based on Artificial Intelligence: Returns up to 12.37% in 14 Days

7 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 12.37%. ^JPLAT and PALL followed with returns of 10.90% and 4.86% for the 14 Days period. The package had an overall average return of 2.17% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 29.96% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from ^JPLAT, at 29.96%. The suggested trades for PALL and Nickel also had notable 1 Month yields of 13.67% and 4.41%, respectively. The package had an overall average return of 3.74% during the period.

Commodities Price Outlook Based on Stock Algorithm: Returns up to 15.26% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 15.26%. CME_RB1 and PALL saw outstanding returns of 10.01% and 6.27%. The package had an overall average return of 3.52% during the period.