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 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 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 Outlook Based on Big Data: Returns up to 9.96% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. ^JPLAT was the highest-earning trade with a return of 9.96% in 7 Days. Additional high returns came from ICE_SB1 and CME_LC1, at 7.97% and 3.69% respectively. The package had an overall average return of 2.71% 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 AI: Returns up to 2.79% in 3 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The highest trade return came from PALL, at 2.79%. Zinc and CME_LC1 saw outstanding returns of 2.16% and 1.97%. The package had an overall average return of 0.6% during the period.

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 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.

Commodities Prices Forecast Based on Artificial Intelligence: Returns up to 6.06% 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. The highest trade return came from Nickel, at 6.06%. USO and GSP saw outstanding returns of 3.99% and 3.69%. Finally, the positive returns could also come from DJP and DJCI with 2.94% and 2.79% returns, respectively. The package had an overall average return of 2.77% during the 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 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.

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.

Commodity ETF Forecast Based on Machine Learning: Returns up to 8.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GDX, at 8.66%. The suggested trades for WEAT and GRU also had notable 14 Days yields of 5.24% and 4.63%, respectively. The package had an overall average return of 3.65% during the 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.

Commodities Market Forecast Based on Artificial Intelligence: Returns up to 8.20% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 market trades in this Commodities Package for the 14 Days investment time period. The most significant return came from Coffee at 8.20%. ICE_KC1 and ICE_OJ1 also performed well for this investment time horizon with returns of 8.20% and 5.10%, respectively. The Commodities package had an overall average return of 2.40% over the investment horizon.

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