Commodity Price Forecast Based on Deep Learning: Returns up to 3.62% 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. ^XNG was the highest-earning trade with a return of 3.62% in 7 Days. ICE_B1 and CME_CL1 followed with returns of 3.36% and 2.58% for the 7 Days period. The package had an overall average return of 0.58% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 9.9% in 14 Days

10 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 9.9%. The suggested trades for ICE_KC1 and Coffee also had notable 14 Days yields of 9.2% and 4.91%, respectively. The package had an overall average return of 4.47% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 9.98% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. Coffee was the top performing prediction with a return of 9.98%. ICE_KC1, and ^JPLAT had notable returns of 9.86% and 8.49%. The package had an overall average return of 4.0% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 13.2% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. Coffee was the top performing prediction with a return of 13.2%. ICE_KC1 and ^JPLAT also performed well for this time horizon with returns of 12.69% and 8.73%, respectively. The package had an overall average return of 5.13% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 8.33% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The highest trade return came from Coffee, at 8.33%. The suggested trades for ^JPLAT and ICE_KC1 also had notable 3 Days yields of 8.23% and 6.75%, respectively. The package had an overall average return of 3.07% during the period.

Commodity Price Forecast Based on AI: Returns up to 6.77% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from Coffee at 6.77%. ^JPLAT and ICE_KC1 also performed well for this time horizon with returns of 3.62% and 2.7%, respectively. The package had an overall average return of 2.28% during the period.

Commodity Outlook Based on Big Data: Returns up to 2.84% in 3 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The highest trade return came from Coffee, at 2.84%. Further notable returns came from XME and ICE_B1 at 1.76% and 1.58%, respectively. The package had an overall average return of 1.11% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 7.86% 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 market. It includes 20 commodity price forecast with bullish or bearish signals indicating which are the best to buy: Top 10 commodities for the long position Top 10 commodities for the short position […]

Commodity Outlook Based on Big Data: Returns up to 3.07% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was PALL, at 3.07%. Other notable stocks were Coffee and XME with a return of 2.42% and 2.4%. The package had an overall average return of 1.06% during the period.

Commodity Price Forecast Based on AI: Returns up to 3.07% in 3 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. PALL was the top performing prediction with a return of 3.07%. Coffee and XME saw outstanding returns of 2.42% and 2.4%. The package had an overall average return of 1.23% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.32% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. CME_W1 was the top performing prediction with a return of 4.32%. Further notable returns came from PALL and ICE_KC1 at 3.16% and 2.21%, respectively. The package had an overall average return of 1.02% during the period.

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.

Commodity Outlook Based on Algorithmic Trading: Returns up to 14.31% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was the top performing prediction with a return of 14.31%. The suggested trades for SLV and Nickel also had notable 14 Days yields of 14.27% and 13.97%, respectively. The package had an overall average return of 6.47% during the period.

Commodity Price Forecast Based on Predictive Analytics : Returns up to 9.2% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Nickel was the highest-earning trade with a return of 9.2% in 3 Days. Other notable stocks were XAG and SLV with a return of 5.43% and 4.8%. The package had an overall average return of 1.59% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 14.06% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The prediction with the highest return was XAG, at 14.06%. SLV, and Nickel had notable returns of 13.3% and 13.08%. The package had an overall average return of 4.54% during the period.

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 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.

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.

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