Commodity Outlook Based on Genetic Algorithms: Returns up to 203.26% in 1 Year

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. ^JPLAT was the highest-earning trade with a return of 203.26% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 45.0% and 31.25%, respectively. The package had an overall average return of 20.82% during the period.

Commodity Futures Based on AI: Returns up to 36.5% in 3 Months

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 36.5%. SHFE_RU1, and CME_S1 had notable returns of 14.59% and 3.92%. The package had an overall average return of 4.85% 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 Outlook Based on Deep Learning: Returns up to 217.4% in 1 Year

For this 1 Year forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 217.4%. The suggested trades for PALL and GDX also had notable 1 Year yields of 47.19% and 33.19%, respectively. The package had an overall average return of 19.62% 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 Price Forecast Based on Big Data Analytics: Returns up to 214.09% in 1 Year

For this 1 Year forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ^JPLAT, at 214.09%. PALL, and GDX had notable returns of 52.3% and 34.99%. The package had an overall average return of 21.23% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 201.1% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The prediction with the highest return was ^JPLAT, at 201.1%. Other notable stocks were PALL and GDX with a return of 54.03% and 36.13%. The package had an overall average return of 19.97% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 55.23% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The prediction with the highest return was ^JPLAT, at 55.23%. Further notable returns came from PALL and XME at 22.41% and 5.15%, respectively. The package had an overall average return of 4.73% during the period.

Commodity Price Forecast Based on AI: Returns up to 24.62% 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 top-performing prediction in this forecast was Coffee, which registered a return of 24.62%. Additional high returns came from ICE_KC1 and ^JPLAT, at 19.81% and 16.87% respectively. The package had an overall average return of 6.13% during the period.

Commodity Futures Based on Pattern Recognition: Returns up to 28.21% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ICE_KC1 with a return of 28.21%. Additional high returns came from SHFE_RU1 and SHFE_RB5, at 17.2% and 10.58% respectively. The package had an overall average return of 6.75% during the period.

Commodity Futures Based on AI: Returns up to 16.64% 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 SHFE_RU1, which registered a return of 16.64%. SHFE_CU9 and SHFE_CU5 also performed well for this time horizon with returns of 3.72% and 3.29%, respectively. The package had an overall average return of 1.91% during the period.

Commodity Futures Based on Big Data: Returns up to 20.65% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The highest trade return came from ICE_KC1, at 20.65%. Further notable returns came from SHFE_RU1 and SHFE_RB5 at 15.59% and 9.25%, respectively. The package had an overall average return of 4.61% during the period.

Commodity Futures Based on Big Data: Returns up to 16.31% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. ICE_KC1 was the top performing prediction with a return of 16.31%. The suggested trades for SHFE_RU1 and SHFE_RB5 also had notable 1 Month yields of 16.13% and 8.91%, respectively. The package had an overall average return of 3.86% during the period.

Commodity Outlook Based on Big Data: Returns up to 12.11% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was Coffee, which registered a return of 12.11%. Other notable stocks were ^JPLAT and ICE_KC1 with a return of 11.77% and 8.06%. The package had an overall average return of 3.21% during the period.

Commodity Futures Based on Big Data: Returns up to 17.1% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The highest trade return came from SHFE_RU1, at 17.1%. CME_CL1 and CME_WS1 followed with returns of 4.74% and 4.74% for the 3 Months period. The package had an overall average return of 1.98% during the period.

Commodity Futures Based on AI: Returns up to 15.79% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from SHFE_RU1, at 15.79%. The suggested trades for ICE_KC1 and SHFE_RB5 also had notable 1 Month yields of 13.38% and 6.58%, respectively. The package had an overall average return of 3.24% during the period.

Commodity Outlook Based on Big Data: Returns up to 11.02% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The prediction with the highest return was Coffee, at 11.02%. ICE_KC1 and ^JPLAT also performed well for this time horizon with returns of 7.94% and 7.53%, respectively. The package had an overall average return of 2.68% during the period.

Commodity Futures Based on Big Data: Returns up to 15.58% in 1 Month

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The highest trade return came from SHFE_RU1, at 15.58%. ICE_KC1 and CME_WS1 saw outstanding returns of 14.54% and 5.06%. The package had an overall average return of 3.15% during the period.