Commodity Outlook Based on Algorithmic Trading: Returns up to 25.77% in 1 Month

Commodity Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Outlook 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 Name: Commodities […]

Commodity Price Forecast Based on Deep-Learning : Returns up to 14.21% in 3 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 Outlook Based on Stock Algorithm: Returns up to 15.86% in 7 Days

Commodity Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Outlook 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 Name: Commodities […]

Commodity ETFs Based on a Self-learning Algorithm: Returns up to 30.05% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was Nickel, which registered a return of 30.05%. PHAU.MI and PALL also performed well for this time horizon with returns of 20.67% and 9.9%, respectively. The package had an overall average return of 3.51% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 25.63% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The highest trade return came from XAG, at 25.63%. Nickel and SLV also performed well for this time horizon with returns of 14.22% and 12.15%, respectively. The package had an overall average return of 5.01% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 11.14% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. The prediction with the highest return was ^JPLAT, at 11.14%. XAG and SLV also performed well for this time horizon with returns of 7.13% and 5.01%, respectively. The package had an overall average return of 3.55% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 7.07% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was XAG, at 7.07%. Further notable returns came from SLV and GDX at 6.98% and 5.41%, respectively. The package had an overall average return of 2.25% during the period.

Best Commodity ETFs Based on AI: Returns up to 12.89% in 1 Month

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

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 16.58% in 30 days

Commodity Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Outlook 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 Name: Commodities […]

Commodities Price Predictions Based on Big Data Analytics : Returns up to 5.81% in 14 days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. Nickel was the highest-earning trade with a return of 5.81% in 14 days. GDX, and USO had notable returns of 3.47% and 1.87%. The package had an overall average return of 1.1% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 7.17% in 7 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 ETFs Forecast Based on Artificial Intelligence: Returns up to 6.88% in 14 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. GDX was our best stock pick this week a return of 6.88%. PALL and GLD followed with returns of 4.82% and 4.49% for the 14 Days period. The package had an overall average return of 2.65% during the period.

Commodity Market Review: Coffee, Palladium, and Gold Look Golden

Summary: Coffee, Palladium, and Gold Commodity Review Fears of frost in Brazil combined with an appreciating Brazilian Real have increased the cost of coffee. Global economic and political tension along with expectations of interest rate cuts have increased the price of precious metals. Coffee Brazil is the world’s largest producer of coffee beans. The state […]

Commodity ETFs Based on Deep Learning: Returns up to 7.60% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from PALL at 7.60%. GDX and XME also performed well for this time horizon with returns of 6.24% and 5.43%, respectively. The package had an overall average return of 2.08% during the period.

Commodity ETFs Prediction Based on Machine Learning: Returns up to 6.78% 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 prediction with the highest return was PALL, at 6.78%. Further notable returns came from GDX and GRU at 5.39% and 4.10%, respectively. The package had an overall average return of 2.47% 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 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.

Commodity Market Review: Trade War Increases Pressure on Soybean Prices

Summary: The trade war between US and China has dampened soybean (SOYB) demand. Palladium (PALL) prices fall as investors seek safer investments I Know First commodities forecast performance Soybean Prices Plummet; US Farmers Suffer [Source: Pixabay] The trade war between the US and China has placed tremendous pressure on soybean farmers. In July 2018, a […]