Commodities Outlook Based on Artificial Intelligence: Returns up to 7.68% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 7.68%. Nickel and Uranium followed with returns of 6.63% and 5.20% for the 7 Days period. The package had an overall average return of 2.06% during the period.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 6.62% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from Nickel, at 6.62%. The suggested trades for WOOD and ^JPLAT also had notable 7 Days yields of 4.88% and 4.67%, respectively. The package had an overall average return of 2.98% during the period.

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.

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 Market Expectations Based on a Self-learning Algorithm: Returns up to 36.95% in 1 Month

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 36.95%. NaturalGas and ^JPLAT followed with returns of 32.26% and 8.88% for the 1 Month period. The package had an overall average return of 5.03% during the period.

Commodity Forecast Based on Algorithmic Trading: Returns up to 12.07% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from ICE_KC1 at 12.07%. ICE_SB1 and Coffee also performed well for this time horizon with returns of 9.98% and 7.99%, respectively. The package had an overall average return of 2.87% during the period.

Commodities Outlook Based on AI : Returns up to 12.07% 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 top-performing prediction in this forecast was ICE_KC1, which registered a return of 12.07%. Other notable stocks were Coffee and ICE_SB1 with a return of 12.07% and 9.98%. The package had an overall average return of 3.73% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 5.71% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from ICE_KC1 at 5.71%. Coffee and ICE_SB1 also performed well for this time horizon with returns of 4.21% and 3.95%, respectively. The package had an overall average return of 1.77% during the period.

Commodity Prediction Based on Artificial Intelligence: Returns up to 16.78% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. ICE_KC1 was the top performing prediction with a return of 16.78%. NaturalGas and CME_NG1 saw outstanding returns of 5.67% and 4.69%. The package had an overall average return of 2.27% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.71% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was Coffee, at 5.71%. Further notable returns came from ICE_KC1 and Zinc at 3.23% and 1.44%, respectively. The package had an overall average return of 1.53% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 9.55% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Coffee was the top performing prediction with a return of 9.55%. ICE_KC1 and NaturalGas saw outstanding returns of 6.98% and 4.46%. The package had an overall average return of 3.01% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 5.12% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ^JPLAT, at 5.12%. The suggested trades for Zinc and CME_NG1 also had notable 3 Days yields of 4.15% and 3.56%, respectively. The package had an overall average return of 1.88% during the period.

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 20.00% in 3 Months

Commodity Forecast from November 3rd, 2017 to February 3rd, 2018 based on I Know First forecast algorithm.

Commodity Picks Based on Algorithmic Trading: Returns up to 10.00% in 7 Days

Commodities Forecast from October 26, 2017 to November 2, 2017 based on I Know First’s stock forecast algorithm.

Commodities To Buy Based on Algo Trading: Returns up to 10.60% in 1 Month

Commodities Forecast from October 3, 2017 to November 3, 2017 based on I Know First’s stock forecast algorithm.

Natural Resources Outlook Based on a Self-learning Algorithm: Returns up to 26.04% in 3 Months

Commodities Forecast from August 2, 2017 to November 2, 2017 based on I Know First’s stock forecast algorithm.

Commodity Price Predictions Based on Genetic Algorithms: Returns up to 17.96% in 3 Months

Commodities Forecast from July 14, 2017 to October 14, 2017 based on I Know First’s stock forecast algorithm.

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