Commodities Forecast Based on Pattern Recognition: Returns up to 20.16% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_RB1, at 20.16%. The suggested trades for ^JPLAT and PALL also had notable 1 Month yields of 18.73% and 6.95%, respectively. The package had an overall average return of 4.47% during the period.

Commodity Price Prediction Based on AI: Returns up to 12.99% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ^JPLAT, at 12.99%. Further notable returns came from Zinc and CME_RB1 at 7.29% and 6.89%, respectively. The package had an overall average return of 3.76% 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.

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.

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.47% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from ^JPLAT at 5.47%. CME_CL1 and ^APAPR.T also performed well for this time horizon with returns of 3.05% and 2.01%, respectively. The package had an overall average return of 1.41% 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.

Commodity Market Trends Based on a Self-learning Algorithm: Returns up to 17.05% in 14 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. CME_RB1 was the highest-earning trade with a return of 17.05% in 14 Days. Additional high returns came from CME_WS1 and CME_CL1, at 4.97% and 4.97% respectively. The package had an overall average return of 2.71% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 17.49% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 5 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 17.49%. ^JPLAT and ICE_B1 also performed well for this time horizon with returns of 7.40% and 2.81%, respectively. The package had an overall average return of 2.01% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_RB1, at 24.56%. The suggested trades for CME_CL1 and ICE_B1 also had notable 1 Month yields of 6.35% and 5.86%, respectively. The package had an overall average return of 4.27% during the period.

Commodities Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. CME_RB1 was the highest-earning trade with a return of 24.56% in 1 Month. Additional high returns came from CME_CL1 and ICE_B1, at 6.35% and 5.86% respectively. The package had an overall average return of 4.27% during the period.

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