Commodities Price Forecast Based on Artificial Intelligence: Returns up to 15.52% in 3 Months

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Zinc was our best stock pick this week a return of 15.52%. PALL and ^CEX followed with returns of 9.24% and 7.85% for the 3 Months period. The package had an overall average return of 4.90% during the period.

Commodity Price Prediction Based on AI: Returns up to 12.99% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ^JPLAT, at 12.99%. Further notable returns came from Zinc and CME_RB1 at 7.29% and 6.89%, respectively. The package had an overall average return of 3.76% during the period.

Commodity Market Review: OPEC Relieves Fears Of A Crude Oil Oversupply

Summary: Crude Oil Futures (CME_CL1) are on the up with a 3.05% rise. The risks of a crude oil oversupply are less likely. Platinum Continues to See A Remarkable Rise. VanEck Vectors Gold Miners ETF (GDX) sees a 10.83% increase. Crude Oil Futures (CME_CL1) are on the up with a 3.05% rise over the past […]

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.47% 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 ^JPLAT at 5.47%. CME_CL1 and ^APAPR.T also performed well for this time horizon with returns of 3.05% and 2.01%, respectively. The package had an overall average return of 1.41% during the period.

Commodities Price Forecast Based on a Self-learning Algorithm: Returns up to 57.09% in 3 Months

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 57.09%. PALL and GDX followed with returns of 22.66% and 10.83% for the 3 Months period. The package had an overall average return of 6.63% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 20.76% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from ^JPLAT, at 20.76%. The suggested trades for PALL and Nickel also had notable 1 Month yields of 10.90% and 6.23%, respectively. The package had an overall average return of 4.46% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 20.11% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The prediction with the highest return was ^JPLAT, at 20.11%. Further notable returns came from PALL and CME_CL1 at 7.84% and 6.35%, respectively. The package had an overall average return of 3.38% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 20.11% in 1 Month

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 20.11%. PALL and CME_CL1 followed with returns of 7.84% and 6.35% for the 1 Month period. The package had an overall average return of 3.68% during the period.

Commodity Outlook Based on Machine Learning: Returns up to 16.64% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 16.64%. Other notable stocks were PALL and Nickel with a return of 8.94% and 5.12%. The package had an overall average return of 4.90% during the period.

Commodities Price Predictions Based on Artificial Intelligence: Returns up to 14.96% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 14.96%. PALL and CME_RB1 saw outstanding returns of 13.00% and 8.88%. The package had an overall average return of 6.93% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.39% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.39%. PALL and ^JPLAT also performed well for this time horizon with returns of 10.51% and 10.20%, respectively. The package had an overall average return of 6.13% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 13.20% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 13.20%. Other notable stocks were CME_RB1 and CME_CL1 with a return of 13.00% and 8.21%. The package had an overall average return of 5.98% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 11.17% 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. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.17%. Other notable stocks were CME_RB1 and ICE_B1 with a return of 10.83% and 8.11%. The package had an overall average return of 4.41% during the period.

Commodities Forecast Based on Algo Trading: Returns up to 10.32% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 10.32%. ^JPLAT and CME_CL1 saw outstanding returns of 6.60% and 5.60%. The package had an overall average return of 2.53% during the period.

Commodity Outlook Based on AI: Returns up to 26.17% in 1 Month

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. ^JPLAT was the highest-earning trade with a return of 26.17% in 1 Month. Additional high returns came from PALL and GDX, at 9.31% and 8.83% respectively. The package had an overall average return of 6.91% during the period.

Commodities Price Predictions Based on Machine Learning: Returns up to 9.88% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 5 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 9.88%. Other notable stocks were Nickel and GDX with a return of 4.82% and 2.80%. The package had an overall average return of 1.09% during the period.

Commodity Forecast Based on Machine Learning: Returns up to 17.54% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 17.54%. Nickel and GDX also performed well for this time horizon with returns of 10.80% and 5.14%, respectively. The package had an overall average return of 4.53% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 17.20% in 1 Month

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 17.20%. Nickel and Uranium followed with returns of 16.14% and 9.23% for the 1 Month period. The package had an overall average return of 5.21% during the period.

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