Commodity Price Forecast Based on Deep Learning: Returns up to 3.62% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. ^XNG was the highest-earning trade with a return of 3.62% in 7 Days. ICE_B1 and CME_CL1 followed with returns of 3.36% and 2.58% for the 7 Days period. The package had an overall average return of 0.58% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 35.92% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.92%. PALL, and ICE_SB1 had notable returns of 22.96% and 7.6%. The package had an overall average return of 7.24% during the period.

Commodity Price Forecast Based on Predictive Analytics: Returns up to 201.61% in 1 Year

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was ^JPLAT, at 201.61%. Additional high returns came from PALL and GDX, at 54.3% and 38.5% respectively. The package had an overall average return of 33.34% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 10.73% 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 from this package was ^JPLAT with a return of 10.73%. The suggested trades for PALL and ICE_B1 also had notable 1 Month yields of 9.97% and 8.71%, respectively. The package had an overall average return of 4.12% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 4.32% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. CME_CL1 was our best stock pick this week a return of 4.32%. ICE_B1 and ^XNG also performed well for this time horizon with returns of 3.72% and 3.38%, respectively. The package had an overall average return of 0.81% during the period.

Commodity Price Forecast Based on Big Data Analytics: Returns up to 37.03% in 3 Months

During the 3 Months 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 37.03%. Other notable stocks were PALL and IYM with a return of 21.0% and 6.18%. The package had an overall average return of 6.37% during the period.

Commodity Price Forecast Based on Machine Learning: Returns up to 204.07% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 204.07%. Further notable returns came from PALL and GDX at 51.84% and 37.18%, respectively. The package had an overall average return of 33.19% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 11.63% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 11.63%. Additional high returns came from PALL and ICE_B1, at 8.22% and 8.22% respectively. The package had an overall average return of 3.77% during the period.

Commodity Futures Based on Deep-Learning: Returns up to 3.1% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 6 out of 10 movements. ICE_B1 was the top performing prediction with a return of 3.1%. CME_WS1 and CME_CL1 saw outstanding returns of 3.06% and 2.99%. The package had an overall average return of 1.28% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 2.9% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 2.9% in 3 Days. PPLT and CME_CL1 saw outstanding returns of 2.47% and 2.22%. The package had an overall average return of 0.91% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 214.99% in 1 Year

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 214.99%. PALL, and GDX had notable returns of 56.07% and 38.57%. The package had an overall average return of 35.78% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 19.67% 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. ^JPLAT was the top performing prediction with a return of 19.67%. PALL, and ICE_SB1 had notable returns of 7.29% and 4.39%. The package had an overall average return of 4.91% during the period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 44.7% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 44.7% in 3 Months. ICE_KC1, and PALL had notable returns of 25.41% and 17.76%. The package had an overall average return of 9.63% during the period.

Commodity ETFs Based on Pattern Recognition: Returns up to 53.94% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The prediction with the highest return was PALL, at 53.94%. GDX and Nickel also performed well for this time horizon with returns of 38.83% and 31.36%, respectively. The package had an overall average return of 21.98% during the period.

Commodity Outlook Based on Big Data: Returns up to 46.96% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^JPLAT was the highest-earning trade with a return of 46.96% in 3 Months. Other notable stocks were ICE_KC1 and PALL with a return of 28.23% and 15.12%. The package had an overall average return of 11.33% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 200.09% in 1 Year

During the 1 Year 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 200.09%. Other notable stocks were PALL and GDX with a return of 53.94% and 38.83%. The package had an overall average return of 31.37% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 17.58% 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. ^JPLAT was the top performing prediction with a return of 17.58%. Additional high returns came from ICE_KC1 and Coffee, at 9.4% and 8.95% respectively. The package had an overall average return of 5.12% during the period.

Commodity Futures Based on Big Data: Returns up to 12.66% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 1 Month time period. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 12.66%. Further notable returns came from ICE_B1 and ICE_CT1 at 7.16% and 7.16%, respectively. The package had an overall average return of 4.54% during the period.

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