Commodity Outlook Based on Genetic Algorithms: Returns up to 35.61% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.61%. Further notable returns came from PALL and WOOD at 31.11% and 10.37%, respectively. The package had an overall average return of 6.95% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 206.64% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ^JPLAT was the top performing prediction with a return of 206.64%. PALL, and Nickel had notable returns of 68.77% and 24.33%. The package had an overall average return of 24.67% 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 ETFs Based on Pattern Recognition: Returns up to 63.2% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The top-performing prediction in this forecast was PALL, which registered a return of 63.2%. The suggested trades for GDX and Nickel also had notable 1 Year yields of 34.06% and 19.62%, respectively. The package had an overall average return of 17.33% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 32.54% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 32.54%. PALL and Copper followed with returns of 27.05% and 9.28% for the 3 Months period. The package had an overall average return of 6.22% during the period.

Best Commodity ETFs Based on Machine Learning: Returns up to 60.07% in 1 Year

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was PALL, at 60.07%. GDX, and Nickel had notable returns of 31.74% and 21.58%. The package had an overall average return of 16.94% during the period.

Commodity Futures Based on Big Data: Returns up to 21.51% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from SHFE_RU1 at 21.51%. ICE_SB1 and SHFE_RB5 also performed well for this time horizon with returns of 13.38% and 9.07%, respectively. The package had an overall average return of 6.74% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 2.56% in 3 Days

In this 3 Days 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 KOL, which registered a return of 2.56%. The suggested trades for ICE_CT1 and PALL also had notable 3 Days yields of 0.88% and 0.71%, respectively. The package had an overall average return of 0.35% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 206.1% in 1 Year

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 206.1% in 1 Year. PALL, and Nickel had notable returns of 57.69% and 24.78%. The package had an overall average return of 27.5% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 36.82% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 8 out of 10 movements. The greatest return came from ^JPLAT at 36.82%. Additional high returns came from PALL and WOOD, at 25.83% and 16.07% respectively. The package had an overall average return of 7.69% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 14.23% 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 14.23%. Other notable stocks were PALL and ICE_SB1 with a return of 12.29% and 4.02%. The package had an overall average return of 2.3% during the period.

Commodity Futures Based on Stock Market Algorithm: Returns up to 2.77% 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 prediction with the highest return was SHFE_RU1, at 2.77%. Additional high returns came from CME_WS1 and CME_CL1, at 2.6% and 2.6% respectively. The package had an overall average return of 1.27% during the period.

Commodity Futures Based on AI: Returns up to 1.79% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The prediction with the highest return was LIFFE_EMA1, at 1.79%. Other notable stocks were SHFE_RB3 and CME_LC1 with a return of 1.55% and 1.44%. The package had an overall average return of 0.54% during the period.

Commodity Futures Based on Genetic Algorithms: Returns up to 3.44% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. ICE_B1 was the top performing prediction with a return of 3.44%. CME_WS1 and CME_CL1 followed with returns of 2.69% and 2.69% for the 7 Days period. The package had an overall average return of 0.92% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 41.25% in 3 Months

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 41.25%. PALL and WOOD also performed well for this time horizon with returns of 26.26% and 14.89%, respectively. The package had an overall average return of 9.21% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 214.01% in 1 Year

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 214.01% in 1 Year. Further notable returns came from PALL and GDX at 56.76% and 34.74%, respectively. The package had an overall average return of 29.93% during the period.

Commodity Outlook Based on AI: Returns up to 16.77% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from ^JPLAT, at 16.77%. PALL, and ICE_B1 had notable returns of 12.09% and 6.03%. The package had an overall average return of 4.13% during the period.

Commodity Futures Based on Algo Trading: Returns up to 4.54% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was CME_WS1, which registered a return of 4.54%. CME_CL1 and ICE_B1 also performed well for this time horizon with returns of 4.54% and 3.8%, respectively. The package had an overall average return of 2.0% during the period.

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