Commodity Price Forecast Based on Data Mining: Returns up to 3.48% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The greatest return came from ICE_B1 at 3.48%. CME_NG1, and WOOD had notable returns of 2.21% and 1.92%. The package had an overall average return of 0.46% during the period.

Gold Price Predictions Based on Algo Trading: Returns up to 23.47% in 3 Months

Gold Price Predictions 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 […]

Gold Forecast Based on Predictive Analytics : Returns up to 6.6% in 1 Month

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: […]

Commodity Futures Based on Stock Algorithm: Returns up to 8.94% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_CL1 was the top performing prediction with a return of 8.94%. SHFE_RU1 and SHFE_RB2 also performed well for this time horizon with returns of 6.98% and 3.43%, respectively. The package had an overall average return of 2.9% during the period.

Commodity Futures Based on Genetic Algorithms: Returns up to 10.27% in 7 Days

In this 7 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_B1, which registered a return of 10.27%. Further notable returns came from CME_NG1 and CME_CL1 at 3.21% and 2.58%, respectively. The package had an overall average return of 2.14% during the period.

Commodity Futures Based on Deep Learning: Returns up to 17.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 17.66% in 14 Days. CME_NG1 and CME_CL1 also performed well for this time horizon with returns of 16.76% and 7.7%, respectively. The package had an overall average return of 6.07% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 4.15% 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 ^XNG, which registered a return of 4.15%. Additional high returns came from CME_NG1 and NaturalGas, at 3.65% and 3.64% respectively. The package had an overall average return of 0.76% during the period.

Gold Price Forecast Based on Predictive Analytics : Returns up to 24.02% in 3 Months

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 Outlook Based on Algo Trading: Returns up to 7.07% in 1 Month

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 Futures Based on AI: Returns up to 14.4% in 14 Days

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The prediction with the highest return was CME_NG1, at 14.4%. Additional high returns came from SHFE_RU1 and SHFE_ZN5, at 3.72% and 3.7% respectively. The package had an overall average return of 2.32% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 17.48% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. ^JPLAT was the top performing prediction with a return of 17.48%. GDX and PALL saw outstanding returns of 14.63% and 11.0%. The package had an overall average return of 2.31% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 16.11% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The greatest return came from Nickel at 16.11%. Further notable returns came from ^JPLAT and XAG at 11.82% and 7.07%, respectively. The package had an overall average return of 3.7% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 5.49% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. WOOD was the highest-earning trade with a return of 5.49% in 7 Days. CME_NG1 and Uranium also performed well for this time horizon with returns of 4.73% and 4.5%, respectively. The package had an overall average return of 2.23% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 4.9% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^XNG was the top performing prediction with a return of 4.9%. WOOD and KOL also performed well for this time horizon with returns of 4.45% and 3.74%, respectively. The package had an overall average return of 2.32% during the period.

Gold Forecast Based on Big Data: Returns up to 23.99% in 3 Months

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: […]

Commodity Futures Based on Pattern Recognition: Returns up to 15.9% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The prediction with the highest return was CME_NG1, at 15.9%. The suggested trades for SHFE_RU1 and ICE_OJ1 also had notable 14 Days yields of 5.41% and 4.38%, respectively. The package had an overall average return of 3.13% during the period.

Commodity Futures Based on Stock Algorithm: Returns up to 8.23% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. CME_NG1 was the top performing prediction with a return of 8.23%. Other notable stocks were ICE_OJ1 and SHFE_ZN5 with a return of 5.93% and 3.22%. The package had an overall average return of 2.67% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 7.05% 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 greatest return came from ^XNG at 7.05%. KOL, and WOOD had notable returns of 4.69% and 4.66%. The package had an overall average return of 2.09% during the period.