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 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 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 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 Outlook Based on Genetic Algorithms: Returns up to 3.09% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 3.09% in 7 Days. Other notable stocks were XME and ICE_CT1 with a return of 1.49% and 1.39%. The package had an overall average return of 0.25% 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 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 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 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 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 Outlook Based on Genetic Algorithms: Returns up to 13.46% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. ^JPLAT was the highest-earning trade with a return of 13.46% in 14 Days. The suggested trades for ICE_KC1 and Coffee also had notable 14 Days yields of 7.61% and 7.59%, respectively. The package had an overall average return of 4.83% 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 Outlook Based on a Self-learning Algorithm: Returns up to 11.77% in 14 Days

his 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top performing prediction from this package was ICE_KC1 with a return of 11.77%. Coffee and PALL also performed well for this time horizon with returns of 9.59% and 5.21%, respectively. The package had an overall average return of 4.07% 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 Outlook Based on AI: Returns up to 16.71% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The top performing prediction from this package was Coffee with a return of 16.71%. ^JPLAT and ICE_KC1 also performed well for this time horizon with returns of 15.69% and 9.19%, respectively. The package had an overall average return of 6.04% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 15.69% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. ^JPLAT was the top performing prediction with a return of 15.69%. Further notable returns came from Coffee and ICE_KC1 at 9.95% and 9.19%, respectively. The package had an overall average return of 4.97% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.21% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. Coffee was the highest-earning trade with a return of 9.21% in 7 Days. ^JPLAT and ICE_KC1 also performed well for this time horizon with returns of 8.02% and 7.49%, respectively. The package had an overall average return of 3.82% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.26% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The highest trade return came from Coffee, at 9.26%. ICE_SB1 and ICE_KC1 saw outstanding returns of 4.94% and 4.77%. The package had an overall average return of 1.96% during the period.

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