Commodities Outlook Based on Data Mining: Returns up to 10.16% 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 10.16%. CME_RB1, and ICE_OJ1 had notable returns of 4.13% and 3.96%. The package had an overall average return of 2.27% 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 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.

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 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.

Commodities Forecast Based on Artificial Intelligence: Returns up to 29.73% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 29.73%. Nickel and PALL saw outstanding returns of 11.90% and 11.88%. The package had an overall average return of 7.29% during the period.

Commodities Price Outlook Based on Data Mining: Returns up to 8.08% in 3 Days

9 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 8.08%. PALL and CME_CL1 followed with returns of 3.64% and 2.39% for the 3 Days period. The package had an overall average return of 2.03% during the period.

Commodity Market Trends Based on Artificial Intelligence: Returns up to 7.80% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ^JPLAT, at 7.80%. The suggested trades for PALL and CME_RB1 also had notable 3 Days yields of 4.60% and 4.27%, respectively. The package had an overall average return of 2.82% during the period.

Commodity Outlook Based on AI: Returns up to 26.17% in 1 Month

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. ^JPLAT was the highest-earning trade with a return of 26.17% in 1 Month. Additional high returns came from PALL and GDX, at 9.31% and 8.83% respectively. The package had an overall average return of 6.91% during the period.

Commodity Outlook Based on AI: Returns up to 6.57% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from Nickel, at 6.57%. The suggested trades for WOOD and KOL also had notable 7 Days yields of 5.35% and 3.21%, respectively. The package had an overall average return of 2.64% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.85% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was WOOD, which registered a return of 5.85%. Other notable stocks were CME_CL1 and XME with a return of 4.07% and 3.55%. The package had an overall average return of 2.83% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 4.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from CME_CL1, at 4.28%. The suggested trades for FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodities Price Prediction Based on Stock Prediction Algorithm: Returns up to 4.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from CME_CL1, at 4.28%. The suggested trades for FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.33% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. USO was the top performing prediction with a return of 5.33%. CME_CL1 and WOOD saw outstanding returns of 5.08% and 4.62%. The package had an overall average return of 2.42% during the period.

Commodity Forecast Based on Algorithmic Trading: Returns up to 7.40% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The top-performing prediction in this forecast was CME_CL1, which registered a return of 7.40%. Other notable stocks were USO and ^XNG with a return of 6.90% and 5.48%. The package had an overall average return of 2.22% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 8.80% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from ^XNG at 8.80%. FCG and CME_CL1 also performed well for this time horizon with returns of 6.97% and 5.32%, respectively. The package had an overall average return of 2.00% during the period.

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