Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 10.05% 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 Outlook Based on Big Data Analytics : Returns up to 11.52% in 14 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 Outlook Based on Algo Trading: Returns up to 11.81% in 14 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 Outlook Based on Algo Trading: Returns up to 13.51% in 14 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 13.51% in 14 Days. ICE_SB1 and Zinc saw outstanding returns of 7.63% and 2.7%. The package had an overall average return of 2.26% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 12.11% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The prediction with the highest return was ^JPLAT, at 12.11%. Additional high returns came from CME_LC1 and PALL, at 3.68% and 1.32% respectively. The package had an overall average return of 0.61% during the period.

Commodity Futures Based on Big Data: Returns up to 10.67% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from ICE_SB1 at 10.67%. CME_S1 and CME_LC1 also performed well for this time horizon with returns of 3.77% and 2.21%, respectively. The package had an overall average return of 1.18% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 10.49% in 3 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_SB1 was the highest-earning trade with a return of 10.49% in 3 Days. Other notable stocks were ^JPLAT and CME_LC1 with a return of 10.25% and 1.69%. The package had an overall average return of 2.62% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 5.6% in 3 Days

For this 3 Days 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 5.6%. ICE_SB1 and Zinc also performed well for this time horizon with returns of 3.38% and 1.88%, respectively. The package had an overall average return of 1.09% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 28.3% in 3 Months

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. ^JPLAT was the highest-earning trade with a return of 28.3% in 3 Months. GDX, and PALL had notable returns of 15.67% and 9.92%. The package had an overall average return of 4.01% 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.

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 Outlook Based on Artificial Intelligence: Returns up to 27.23% in 3 Months

6 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 27.23%. GDX and PALL also performed well for this time horizon with returns of 25.85% and 15.72%, respectively. The package had an overall average return of 6.54% during the period.

Commodity Price Forecast Based on Deep-Learning : Returns up to 6.18% in 7 Days

10 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. ^XNG saw monumental price change of 6.18% in just 7 Days. Uranium, and CME_NG1 also had excellent performances with returns of 5.3% and 4.56% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Prediction Based on Pattern Recognition: Returns up to 16.02% in 30 days

During the 30 days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The highest trade return came from GDX, at 16.02%. The suggested trades for ICE_KC1 and ^JPLAT also had notable 30 days yields of 8.45% and 5.85%, respectively. The package had an overall average return of 4.01% 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 Outlook Based on Stock Algorithm: Returns up to 12.20% 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 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 […]

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.

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