Commodities Market Outlook Based on Artificial Intelligence: Returns up to 9.17% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 movements. The top performing prediction from this package was CME_W1 with a return of 9.17%. WEAT, and ICE_CC1 had notable returns of 7.10% and 3.65%. Finally, positive returns resulted from positions on RJA and CME_S1 gaining 2.37% and 1.84%, respectively, over the same forecast horizon. The package had an overall average return of 2.23% during the period.

Commodity Market Predictions Based on Artificial Intelligence: Returns up to 5.96% in 3 Days

During the 3 Days 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 PALL, at 5.96%. Further notable returns came from ^JPLAT and GDX at 5.64% and 3.87%, respectively. Finally, positive returns resulted from positions on ICE_SB1 and XME gaining 2.82% and 1.43%, respectively, over the same forecast horizon.  The package had an overall average return of 1.98% during the period.

Commodities ETFs Predictions Based on Artificial Intelligence: Returns up to 5.01% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GRU, at 5.01%. The suggested trades for WEAT and GDX also had notable 7 Days yields of 3.87% and 2.01%, respectively. Finally, positive returns resulted from positions on IYM and MOO gaining 1.95% and 1.80%, respectively, over the same forecast horizon. The package had an overall average return of 2.05% during the period.

Commodities Market Forecast Based on Predictive Analytics : Returns up to 7.50% 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 USO which registered a return of 6.55%. For the long positions the largest growth was registered by ICE_OJ1 with a return of 7.50%, during the same period. The package itself, had an overall average return of 0.74%, in the long position. With regards to the short position, the package had an overall average return of 2.34%. The I Know First Algorithm accurately forecasted 6 out of 10 commodities, for the long position, and 6 out of 10 commodities, for the short position for this 3 Days forecasted period.

Commodities Forecast Based on Deep Learning: Returns up to 12.11% in 7 Days

During the 7 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. For the long positions the largest growth was registered by ICE_KC1 with a return of 12.11%, during the same period. For the short positions the largest growth was registered by USO with a return of 10.14%, during the same period. The package itself, had an overall average return of 3.95%, in the long position. The package itself, had an overall average return of 2.50%, in the short position. The I Know First Algorithm accurately forecasted 7 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 7 Days forecasted period.

Commodities Market Predictions Based on Machine Learning: Returns up to 13.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecasts for the 7 Days time period. The greatest return came from ICE_OJ1 at 13.90%. Coffee and ICE_KC1 also performed well for this time horizon with returns of 13.24% and 11.20%, respectively. The package had an overall average return of 3.68% during the period.

Gold Market Outlook Based on Artificial Intelligence: Returns up to 4.03% in 7 Days

Gold Price Forecast This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Forecast predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for: Gold ETF (GLD) direction Physical Gold (XAU) direction Silver (XAG) […]

Gold Market Outlook Based on Artificial Intelligence: Returns up to 4.26% in 3 Months

Gold Market This Gold Forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Market predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for: Gold ETF (GLD) direction Physical Gold (XAU) direction Silver (XAG) direction Package […]

Gold Outlook Prediction Based on Machine Learning: Returns up to 4.33% in 14 Days

Gold Outlook This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Outlook predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for: Gold ETF (GLD) direction Physical Gold (XAU) direction Silver (XAG) direction Package […]

Commodity Market Prediction Based on Artificial Intelligence: Returns up to 4.71% in 3 Days

10 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 4.71%. ICE_SB1 and ICE_KC1 followed with returns of 2.38% and 1.87% for the 3 Days period. Finally, positive returns came from long positions on CEX and MOO resulting in gains of 1.76% and 1.58% over the same investment time horizon. The package had an overall average return of 1.78% during the period.

Commodities Market Forecast Based on Artificial Intelligence: Returns up to 8.20% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 market trades in this Commodities Package for the 14 Days investment time period. The most significant return came from Coffee at 8.20%. ICE_KC1 and ICE_OJ1 also performed well for this investment time horizon with returns of 8.20% and 5.10%, respectively. The Commodities package had an overall average return of 2.40% over the investment horizon.

Price Predictions for Commodities Based on Predictive Analytics : Returns up to 3.58% in 3 Days

In this 3 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 WEAT, which registered a return of 3.58%. Other notable stocks were CME_W1 and ICE_CC1 with a return of 3.54% and 2.24%. The package had an overall average return of 1.09% during the period.

Price Outlook for Commodities Based on Deep Learning: Returns up to 8.35% in 3 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_W1 with a return of 8.35%. WEAT, and Cocoa had notable returns of 3.78% and 3.41%. The package had an overall average return of 2.17% during the period.

Forecast for Commodities Based on Artificial Intelligence: Returns up to 5.54% in 7 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_W1 was our best stock pick this week a return of 5.54%. CME_SM1 and CME_SM4 followed with returns of 5.21% and 4.76% for the 7 Days period. The package had an overall average return of 1.31% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 7.34% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from CME_W1 at 7.34%. WEAT and RJA also performed well for this time horizon with returns of 6.24% and 3.29%, respectively. The package had an overall average return of 2.65% during the period.CME_W1 is a wheat futures, continous contract #1.

Commodities Futures Predictions Based on Deep-Learning : Returns up to 6.95% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ICE_OJ1, at 6.95%. The suggested trades for CME_SM1 and CME_SM4 also had notable 3 Days yields of 6.16% and 5.83%, respectively. Finally, positive returns were recognized on long position for ICE_KC1 an CME_O1 resulting in gains of 2.95% and 2.11%, respectively. The package had an overall average return of 2.25% during the period.

Commodities Price Predictions Based on Big Data Analytics : Returns up to 10.17% in 7 Days

7 out of 10 commodity prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_OJ1 was our best pick this week a return of 10.17%. Coffee and WEAT followed with returns of 7.10% and 3.20% for the 7 Days period. Finally, positive returns also came from long positions on RJA and CME_W1 resulting in gains of 2.71% and 2.45%, respectively. The package had an overall average return of 1.40% during the period.

Commodity Prices Outlook Based on Predictive Analytics: Returns up to 8.95% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was CME_SM1, which registered a return of 8.95%. Other notable stocks were CME_SM4 and ICE_KC1 with a return of 8.68% and 6.64%. The package had an overall average return of 3.50% during the period.

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