Commodity Price Forecast Based on Deep-Learning: Returns up to 5.66% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ICE_KC1 was the top performing prediction with a return of 5.66%. Further notable returns came from ^JPLAT and Copper at 4.88% and 3.69%, respectively. The package had an overall average return of 2.61% during the period.

Gold Price Predictions Based on AI: Returns up to 18.9% in 1 Year

Gold Price Predictions This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Predictions 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 Outlook Based on Algo Trading: Returns up to 1.54% in 3 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 Outlook Based on Deep Learning: Returns up to 16.75% in 1 Month

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The highest trade return came from ^JPLAT, at 16.75%. Other notable stocks were ICE_KC1 and Coffee with a return of 14.27% and 12.43%. The package had an overall average return of 7.26% 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 53.9% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The greatest return came from ^JPLAT at 53.9%. PALL and XME saw outstanding returns of 21.89% and 7.02%. The package had an overall average return of 7.43% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 8.67% 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 top performing prediction from this package was ^XNG with a return of 8.67%. Other notable stocks were ICE_B1 and CME_CL1 with a return of 2.02% and 1.91%. The package had an overall average return of 1.74% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 10.03% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. ^XNG was the highest-earning trade with a return of 10.03% in 7 Days. The suggested trades for ICE_B1 and CME_CL1 also had notable 7 Days yields of 4.43% and 4.19%, respectively. The package had an overall average return of 1.52% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 9.9% in 14 Days

10 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 ^JPLAT, which registered a return of 9.9%. The suggested trades for ICE_KC1 and Coffee also had notable 14 Days yields of 9.2% and 4.91%, respectively. The package had an overall average return of 4.47% during the period.

Gold Price Predictions Based on Algorithmic Trading: Returns up to 18.37% in 1 Year

Gold Price Predictions This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Predictions 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) […]

Commodity Futures Based on AI: Returns up to 36.5% in 3 Months

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 36.5%. SHFE_RU1, and CME_S1 had notable returns of 14.59% and 3.92%. The package had an overall average return of 4.85% during the period.

Commodity Futures Based on Deep-Learning : Returns up to 6.51% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from SHFE_RU1, at 6.51%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 5.58% and 5.58%, respectively. The package had an overall average return of 1.26% 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 Algo Trading: Returns up to 7.07% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The greatest return came from ^XNG at 7.07%. Other notable stocks were ^JPLAT and ICE_KC1 with a return of 5.41% and 2.12%. The package had an overall average return of 2.11% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 9.13% in 7 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The greatest return came from ^JPLAT at 9.13%. ^XNG and CME_CL1 followed with returns of 8.29% and 2.87% for the 7 Days period. The package had an overall average return of 2.75% 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.

Gold Forecast Based on Stock Market Algorithm: Returns up to 19.23% in 1 Year

Gold Forecast This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives price 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 Name: […]

Gold Price Predictions Based on Big Data: Returns up to 0.47% in 3 Days

Gold Price Predictions This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Predictions 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) […]