Commodity Outlook Based on Predictive Analytics: Returns up to 12.96% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. ICE_KC1 was the top performing prediction with a return of 12.96%. Other notable stocks were Coffee and ICE_B1 with a return of 11.57% and 6.72%. The package had an overall average return of 4.34% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 1.41% in 3 Days

7 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 GDX, which registered a return of 1.41%. Other notable stocks were PPLT and Aluminum with a return of 0.69% and 0.65%. The package had an overall average return of 0.11% during the period.

Commodity Futures Based on Big Data: Returns up to 1.43% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The highest trade return came from ICE_B1, at 1.43%. Other notable stocks were CME_RB1 and CME_WS1 with a return of 1.18% and 1.0%. The package had an overall average return of 0.53% during the period.

Commodity Futures Based on Machine Learning: Returns up to 4.17% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 7 Days time period. The prediction with the highest return was ICE_KC1, at 4.17%. ICE_B1 and CME_RB1 saw outstanding returns of 2.44% and 2.37%. The package had an overall average return of 1.51% during the period.

Commodity Futures Based on AI: Returns up to 4.51% in 14 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. The prediction with the highest return was ICE_B1, at 4.51%. CME_CL1, and CME_WS1 had notable returns of 2.75% and 2.75%. The package had an overall average return of 1.16% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 16.32% in 1 Month

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 16.32%. The suggested trades for ICE_KC1 and Coffee also had notable 1 Month yields of 14.52% and 13.39%, respectively. The package had an overall average return of 7.38% during the period.

Commodity Futures Based on Deep-Learning: Returns up to 1.6% in 3 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 ICE_B1, which registered a return of 1.6%. CME_RB1, and CME_WS1 had notable returns of 1.24% and 1.11%. The package had an overall average return of 0.73% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 16.49% in 1 Month

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from ^JPLAT at 16.49%. ICE_KC1, and Coffee had notable returns of 12.91% and 11.89%. The package had an overall average return of 5.16% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 11.9% 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. SHFE_RU1 was our best stock pick this week a return of 11.9%. SHFE_RB5, and CME_S1 had notable returns of 5.99% and 4.65%. The package had an overall average return of 1.78% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 16.49% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the highest-earning trade with a return of 16.49% in 1 Month. Coffee and ICE_KC1 also performed well for this time horizon with returns of 11.89% and 9.34%, respectively. The package had an overall average return of 4.8% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 209.59% in 1 Year

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 209.59%. Other notable stocks were PALL and GDX with a return of 52.36% and 40.22%. The package had an overall average return of 22.94% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 3.33% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top-performing prediction in this forecast was ICE_B1, which registered a return of 3.33%. Additional high returns came from Copper and CME_CL1, at 2.57% and 2.54% respectively. The package had an overall average return of 0.97% during the period.

Commodity Futures Based on Deep Learning: Returns up to 13.32% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. SHFE_RU1 was the highest-earning trade with a return of 13.32% in 3 Months. Additional high returns came from SHFE_RB5 and SHFE_RB2, at 9.95% and 5.21% respectively. The package had an overall average return of 3.82% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 197.47% in 1 Year

During the 1 Year forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. ^JPLAT was the highest-earning trade with a return of 197.47% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 51.93% and 35.86%, respectively. The package had an overall average return of 21.41% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 13.41% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from ICE_KC1, at 13.41%. Further notable returns came from ^JPLAT and XME at 12.53% and 7.81%, respectively. The package had an overall average return of 6.34% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 5.66% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ICE_KC1 was the top performing prediction with a return of 5.66%. Further notable returns came from ^JPLAT and Copper at 4.88% and 3.69%, respectively. The package had an overall average return of 2.61% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 16.75% in 1 Month

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The highest trade return came from ^JPLAT, at 16.75%. Other notable stocks were ICE_KC1 and Coffee with a return of 14.27% and 12.43%. The package had an overall average return of 7.26% during the period.

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.