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 a Self-learning Algorithm: Returns up to 5.86% 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 5.97% 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 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 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 a Self-learning Algorithm: Returns up to 20.77% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 20.77% in 3 Months. GDX and PALL saw outstanding returns of 17.73% and 8.8%. The package had an overall average return of 3.03% 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 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 Price Forecast Based on Deep Learning: Returns up to 10.32% in 14 Days

9 out of 10 top stock picks from the algorithm decreased as predicted for this 14 Days forecasting period. ^XNG saw monumental price change of 10.32% in just 14 Days. CME_NG1, and Uranium also had excellent performances with returns of 8.04% and 7.92% 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 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 […]

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 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 […]

Commodities Forecast Based on Artificial Intelligence: Returns up to 7.60% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 7.60%. GDX, and MOO had notable returns of 6.24% and 1.81%. The package had an overall average return of 1.76% during the period.

Commodities Market Outlook Based on Artificial Intelligence: Returns up to 9.17% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 movements. The top performing prediction from this package was CME_W1 with a return of 9.17%. WEAT, and ICE_CC1 had notable returns of 7.10% and 3.65%. Finally, positive returns resulted from positions on RJA and CME_S1 gaining 2.37% and 1.84%, respectively, over the same forecast horizon. The package had an overall average return of 2.23% 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.

Commodities Forecast Based on Deep Learning: Returns up to 12.11% in 7 Days

During the 7 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. For the long positions the largest growth was registered by ICE_KC1 with a return of 12.11%, during the same period. For the short positions the largest growth was registered by USO with a return of 10.14%, during the same period. The package itself, had an overall average return of 3.95%, in the long position. The package itself, had an overall average return of 2.50%, in the short position. The I Know First Algorithm accurately forecasted 7 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 7 Days forecasted period.

Commodities Market Predictions Based on Machine Learning: Returns up to 13.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecasts for the 7 Days time period. The greatest return came from ICE_OJ1 at 13.90%. Coffee and ICE_KC1 also performed well for this time horizon with returns of 13.24% and 11.20%, respectively. The package had an overall average return of 3.68% during the period.

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