Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.85% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.85%. Other notable stocks were PALL and SLV with a return of 8.19% and 6.27%. The package had an overall average return of 4.46% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.10% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 7.10%. The suggested trades for ^JPLAT and SLV also had notable 14 Days yields of 5.55% and 3.47%, respectively. The package had an overall average return of 2.05% during the period.

Commodity Forecast Based on Algo Trading: Returns up to 6.56% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from SLV at 6.56%. PALL and ^JPLAT also performed well for this time horizon with returns of 6.33% and 4.80%, respectively. The package had an overall average return of 3.00% during the period.

Commodities Outlook Based on Genetic Algorithms: Returns up to 9.33% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from PALL at 9.33%. SLV and Cocoa also performed well for this time horizon with returns of 6.77% and 6.12%, respectively. The package had an overall average return of 4.38% during the period.

Commodity Outlook Based on Data Mining: Returns up to 5.22% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from FCG at 5.22%. KOL and ^XNG also performed well for this time horizon with returns of 4.38% and 3.57%, respectively. The package had an overall average return of 2.33% during the period.

Commodities Price Prediction Based on Algo Trading: Returns up to 8.41% in 14 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 8.41%. SLV, and ^JPLAT had notable returns of 7.21% and 4.68%. The package had an overall average return of 4.02% during the period.

Commodities Price Prediction Based on Deep Learning: Returns up to 5.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from Cocoa at 5.90%. SLV and ICE_CC1 also performed well for this time horizon with returns of 4.69% and 4.36%, respectively. The package had an overall average return of 2.13% during the period.

Commodity Outlook Based on Machine Learning: Returns up to 6.38% in 7 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was Cocoa with a return of 6.38%. ICE_CC1, and SLV had notable returns of 6.03% and 5.68%. The package had an overall average return of 3.48% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 4.49% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_CC1 was the highest-earning trade with a return of 4.49% in 3 Days. Additional high returns came from Cocoa and SLV, at 4.49% and 4.08% respectively. The package had an overall average return of 2.66% during the period.

Commodities Price Forecast Based on Genetic Algorithms: Returns up to 6.96% in 3 Days

Commodities Price Forecast This Commodities Price Forecast Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodities Price Outlook with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short […]

Commodities Price Based on AI: Returns up to 10.83% in 14 Days

During the 14 Days 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 PALL, at 10.83%. Further notable returns came from GDX and CME_S1 at 8.32% and 5.08%, respectively. The package had an overall average return of 1.70% during the period.

Commodity Forecast Based on Self-learning Algorithm: Returns up to 15.08% in 1 Month

During the 1 Month 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 PALL, at 15.08%. Further notable returns came from NaturalGas and CME_NG1 at 12.15% and 11.21%, respectively. The package had an overall average return of 1.97% during the period.

Commodities Markets Analytics Based on AI: Returns up to 18.50% in 1 Month

During the 1 Month forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ICE_B1 which registered a return of 14.55%. For the long positions the largest growth was registered by CME_NG1 with a return of 18.50%, during the same period. The package itself, had an overall average return of 2.37%, in the long position. With regards to the short position, the package had an overall average return of 9.86%. The I Know First Algorithm accurately forecasted 5 out of 10 commodities, for the long position, and 9 out of 10 commodities, for the short position for this 1 Month forecasted period.

Commodities Prices Analysis Based on Data Mining: Returns up to 9.09% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ^XNG which registered a return of 6.36%. For the long positions the largest growth was registered by PALL with a return of 9.09%, during the same period. The package itself, had an overall average return of 2.13%, in the long position. With regards to the short position, the package had an overall average return of 2.06%. The I Know First Algorithm accurately forecasted 8 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 14 Days forecasted period.

Commodity Markets Expectations Based on Algorithmic Trading: Returns up to 2.69% in 3 Days

During the 3 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from Coffee which registered a return of 3.40%. For the long positions the largest growth was registered by PALL with a return of 2.69%, during the same period. The package itself, had an overall average return of 0.81%, in the long position. With regards to the short position, the package had an overall average return of 1.07%. The I Know First Algorithm accurately forecasted 9 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 3 Days forecasted period.

Commodity Forecast Based on Big Data: Returns up to 9.62% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from PALL at 9.62%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 5.50% and 4.01%, respectively. The package had an overall average return of 3.21% during the period.
Providing focused exposure to palladium, which it physically holds in JPMorgan vaults in London and Zurich, PALL earns a perfect Fit score as it exactly tracks the movements in palladium spot prices. It trades decently in terms of volume, but the spreads can be a real issue. Block liquidity is strong, so institutional investors wanting to create new shares can do so at relatively low cost and without impacting the price of palladium. The expense ratio is on the high side of the physically backed precious metals ETF market, but it’s still competitive priced. More importantly, this is really the only game in town if you want focused palladium exposure

Commodity Forecast Based on a Self-learning Algorithm: Returns up to 9.91% in 14 Days

In this 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 in this forecast was PALL, which registered a return of 9.91%. Other notable stocks were GDX and CME_NG1 with a return of 4.34% and 4.18%. The package had an overall average return of 3.11% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.68% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from PALL at 7.68%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 4.92% and 3.68%, respectively. The package had an overall average return of 2.36% during the period.