Commodity Price Forecast Based on Genetic Algorithms: Returns up to 23.78% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The highest trade return came from ^JPLAT, at 23.78%. Additional high returns came from Nickel and PPLT, at 10.05% and 8.67% respectively. The package had an overall average return of 4.18% during the period.

Commodity Outlook Based on Big Data Analytics : Returns up to 23.37% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was ^JPLAT, at 23.37%. Additional high returns came from Nickel and PPLT, at 10.91% and 7.85% respectively. The package had an overall average return of 4.32% during the period.

Gold Outlook Based on Data Mining: Returns up to 8.59% 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 price outlook 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 Outlook Based on Predictive Analytics : Returns up to 21.46% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 21.46%. Additional high returns came from PALL and Nickel, at 12.99% and 9.93% respectively. The package had an overall average return of 7.24% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 21.46% in 1 Month

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.46%. Nickel and PALL followed with returns of 11.81% and 11.34% for the 1 Month period. The package had an overall average return of 7.16% during the period.

Gold Outlook Based on Artificial Intelligence: Returns up to 6.64% 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 Big Data Analytics : Returns up to 3.8% 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 highest trade return came from CME_NG1, at 3.8%. CME_CL1 and CME_WS1 followed with returns of 3.32% and 3.32% for the 14 Days period. The package had an overall average return of 1.56% during the period.

Commodity Price Forecast Based on Big Data Analytics : Returns up to 10.28% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from Nickel at 10.28%. XAG and SLV also performed well for this time horizon with returns of 6.64% and 6.4%, respectively. The package had an overall average return of 3.33% during the period.

Commodity Futures Based on Pattern Recognition: Returns up to 7.09% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from SHFE_RU1, at 7.09%. The suggested trades for CME_CL1 and SHFE_ZN5 also had notable 1 Month yields of 5.91% and 2.83%, respectively. The package had an overall average return of 1.51% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 11.83% in 14 Days

8 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 11.83%. The suggested trades for CME_S1 and SHFE_RU1 also had notable 14 Days yields of 3.77% and 3.45%, respectively. The package had an overall average return of 2.74% during the period.

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 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 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 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 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 Futures Based on Algorithmic Trading: Returns up to 15.7% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was CME_NG1, which registered a return of 15.7%. Additional high returns came from CME_CL1 and SHFE_RU1, at 7.01% and 6.67% respectively. The package had an overall average return of 3.92% during the period.

Commodity Futures Based on Machine Learning: Returns up to 13.13% 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 top-performing prediction in this forecast was CME_NG1, which registered a return of 13.13%. CME_CL1 and CME_WS1 followed with returns of 4.99% and 4.99% for the 7 Days period. The package had an overall average return of 3.41% during the period.

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