Commodity Price Forecast Based on AI: Returns up to 12.21% in 1 Month

In this 1 Month 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 12.21%. XME, and WOOD had notable returns of 4.58% and 3.73%. The package had an overall average return of 1.11% during the period.

Commodity Outlook Based on AI: Returns up to 10.44% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The prediction with the highest return was ^JPLAT, at 10.44%. XME, and ICE_SB1 had notable returns of 5.04% and 4.56%. The package had an overall average return of 1.45% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.5% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The top performing prediction from this package was XME with a return of 4.5%. Other notable stocks were ^JPLAT and WOOD with a return of 4.15% and 3.68%. The package had an overall average return of 1.64% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.2% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The prediction with the highest return was Coffee, at 9.2%. ^APAPR.T, and WOOD had notable returns of 4.75% and 4.25%. The package had an overall average return of 2.77% during the period.

Commodity Price Forecast Based on AI: Returns up to 6.39% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. XME was the highest-earning trade with a return of 6.39% in 14 Days. WOOD, and ^APAPR.T had notable returns of 5.6% and 4.0%. The package had an overall average return of 2.35% during the period.

Commodity Outlook Based on Big Data: Returns up to 5.15% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. XME was the top performing prediction with a return of 5.15%. Zinc, and DBB had notable returns of 3.0% and 2.11%. The package had an overall average return of 1.52% during the period.

Commodity Price Forecast Based on AI: Returns up to 5.9% in 14 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. PALL was our best stock pick this week a return of 5.9%. XME and Zinc followed with returns of 4.13% and 3.96% for the 14 Days period. The package had an overall average return of 1.21% during the period.

Commodity Price Forecast Based on AI: Returns up to 3.68% 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 Machine Learning: Returns up to 4.72% in 3 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 Pattern Recognition: Returns up to 4.9% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^XNG was the top performing prediction with a return of 4.9%. WOOD and KOL also performed well for this time horizon with returns of 4.45% and 3.74%, respectively. The package had an overall average return of 2.32% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 7.05% 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 greatest return came from ^XNG at 7.05%. KOL, and WOOD had notable returns of 4.69% and 4.66%. The package had an overall average return of 2.09% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 5.96% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was the highest-earning trade with a return of 5.96% in 3 Days. Further notable returns came from NaturalGas and ^XNG at 5.18% and 4.76%, respectively. The package had an overall average return of 1.9% during the period.

Commodity ETFs Based on Stock Prediction Algorithm: Returns up to 7.41% in 3 days

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 short […]

Commodity ETFs Market Based on Stock Algorithm: Returns up to 9.58% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 movements. The top performing prediction from this package was FCG with a return of 9.58%. XME, and WOOD had notable returns of 7.91% and 7.51%. The package had an overall average return of 3.58% during the period.

Commodity ETFs Prediction Based on Stock Algorithm: Returns up to 4.23% in 14 Days

6 out of 10 top commodity ETF picks from the algorithm decreased as predicted for this short-term forecasting period. XME saw monumental growth of 4.23% in just 14 Days. PPLT, and PALL also had excellent performances with returns of 3.74% and 3.15% respectively.

Commodities Forecast Based on Pattern Recognition: Returns up to 12.77% 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 top-performing prediction in this forecast was CME_RB1, which registered a return of 12.77%. Other notable stocks were CME_CL1 and ^JPLAT with a return of 11.94% and 6.87%. The package had an overall average return of 3.19% during the period.

Commodity ETFs Outlook Based on Predictive Analytics: Returns up to 4.21% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Cocoa was the top performing prediction with a return of 4.21%. WOOD and USO saw outstanding returns of 3.98% and 3.92%. The package had an overall average return of 2.03% during the period.

Commodity Price Outlook Based on Algo Trading: Returns up to 9.72% in 14 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ^JPLAT was the highest-earning trade with a return of 9.72% in 14 Days. Additional high returns came from CME_RB1 and PALL, at 8.24% and 4.30% respectively. The package had an overall average return of 2.39% during the period.

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