Commodity Outlook Based on Predictive Analytics : Returns up to 8.46% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. XAG was the top performing prediction with a return of 8.46%. SLV and GDX also performed well for this time horizon with returns of 8.19% and 6.89%, respectively. The package had an overall average return of 3.11% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 7.46% in 14 Days

Commodity Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Price Forecast with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package […]

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 4.32% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. XAG was the top performing prediction with a return of 4.32%. Additional high returns came from SLV and XAU, at 3.12% and 1.73% respectively. The package had an overall average return of 1.0% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 4.32% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The highest trade return came from XAG, at 4.32%. Additional high returns came from SLV and PHAU.MI, at 3.96% and 2.7% respectively. The package had an overall average return of 1.87% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 2.9% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The top performing prediction from this package was SLV with a return of 2.9%. Further notable returns came from XAG and GLD at 2.9% and 2.06%, respectively. The package had an overall average return of 1.05% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 17.27% in 14 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. The greatest return came from XAG at 17.27%. Nickel, and SLV had notable returns of 5.72% and 4.36%. The package had an overall average return of 3.61% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 6.41% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. Nickel was our best stock pick this week a return of 6.41%. XAG and SLV also performed well for this time horizon with returns of 4.73% and 4.7%, respectively. The package had an overall average return of 2.75% during the period.

Commodity Outlook Based on AI: 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 8 out 10 trades. The greatest return came from Nickel at 9.91%. Other notable stocks were XAU and XAG with a return of 4.53% and 4.04%. The package had an overall average return of 2.88% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 11.82% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The top-performing prediction in this forecast was Nickel, which registered a return of 11.82%. XAU and SLV followed with returns of 5.81% and 5.46% for the 14 Days period. The package had an overall average return of 3.8% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 6.63% 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 highest trade return came from Nickel, at 6.63%. XAG and SLV followed with returns of 4.62% and 4.55% for the 7 Days period. The package had an overall average return of 2.41% during the period.

Commodity Price Forecast Based on a Self-learning Algorithm: Returns up to 6.84% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The highest trade return came from Nickel, at 6.84%. CME_BO1 and SLV also performed well for this time horizon with returns of 5.08% and 3.52%, respectively. The package had an overall average return of 2.95% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 8.45% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 8.45%. Additional high returns came from XAU and XAG, at 5.63% and 5.21% respectively. The package had an overall average return of 3.2% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 6.3% 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 highest trade return came from CME_BO1, at 6.3%. Nickel and SLV saw outstanding returns of 4.29% and 3.65%. The package had an overall average return of 3.09% during the period.

Commodity Outlook Based on Machine Learning: Returns up to 7.33% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 7.33%. GDX and XAU also performed well for this time horizon with returns of 5.73% and 4.63%, respectively. The package had an overall average return of 2.87% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 3.03% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The highest trade return came from XAU, at 3.03%. GDX and Nickel also performed well for this time horizon with returns of 2.94% and 2.48%, respectively. The package had an overall average return of 0.19% during the period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 2.69% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The top performing prediction from this package was GDX with a return of 2.69%. The suggested trades for ICE_B1 and Nickel also had notable 3 Days yields of 2.3% and 2.0%, respectively. The package had an overall average return of 0.54% during the period.

Gold Forecast Based on Data Mining: Returns up to 6.19% 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 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 […]

Gold Outlook Based on Stock Algorithm: Returns up to 4.61% 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 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: […]