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.

Commodities Markets Trends Based on Algorithmic Trading: Returns up to 10.83% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 10.83%. ICE_B1 and ^JPLAT followed with returns of 7.71% and 5.68% for the 3 Days period. The package had an overall average return of 2.89% 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.

Commodity Outlook Based on Data Mining: Returns up to 10.87% 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 Nickel, which registered a return of 10.87%. Other notable stocks were ^JPLAT and WOOD with a return of 10.84% and 3.48%. The package had an overall average return of 2.92% 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.

Commodity Price Prediction Based on Machine Learning: Returns up to 11.52% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The prediction with the highest return was Nickel, at 11.52%. Further notable returns came from XME and WOOD at 6.59% and 5.73%, respectively. The package had an overall average return of 3.48% during the period.
Nickel, as a metals commodity is traded on futures/forward contracts and the price movement is tracked on the Dow Jones-UBS Nickel Subindex (DJUBSNI).

Commodities Outlook Based on Artificial Intelligence: Returns up to 7.68% in 7 Days

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 7.68%. Nickel and Uranium followed with returns of 6.63% and 5.20% for the 7 Days period. The package had an overall average return of 2.06% during the period.

Commodities Markets Trends Based on Artificial Intelligence: Returns up to 10.31% 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 Nickel, which registered a return of 10.31%. Other notable stocks were ^JPLAT and GDX with a return of 5.48% and 5.41%. The package had an overall average return of 3.80% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 2.43% in 14 Days

The algorithm correctly predicted 2 out 2 of the suggested trades in the Commodities Package for this 14 Days forecast. GLD was the highest-earning trade with a return of 2.43% in 14 Days. Additional high returns came from XAU, at 2.39%. The package had an overall average return of 2.41% during the period.

Commodities Forecast Based on Predictive Analytics : Returns up to 6.28% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Nickel was our best stock pick this week a return of 6.28%. CME_CL1 and ^JPLAT followed with returns of 2.73% and 2.57% for the 3 Days period. The package had an overall average return of 1.19% during the period.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 6.62% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from Nickel, at 6.62%. The suggested trades for WOOD and ^JPLAT also had notable 7 Days yields of 4.88% and 4.67%, respectively. The package had an overall average return of 2.98% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 6.29% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_CL1 was the top performing prediction with a return of 6.29%. GDX and ^JPLAT saw outstanding returns of 5.22% and 2.63%. The package had an overall average return of 2.15% during the period.

Commodity Outlook Based on AI: Returns up to 6.57% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from Nickel, at 6.57%. The suggested trades for WOOD and KOL also had notable 7 Days yields of 5.35% and 3.21%, respectively. The package had an overall average return of 2.64% during the period.

Commodities Price Prediction Based on Data Mining: Returns up to 4.72% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. GDX was our best stock pick this week a return of 4.72%. Nickel and XME followed with returns of 3.22% and 3.02% for the 3 Days period. The package had an overall average return of 0.71% during the period.

Commodity Prediction Based on Deep-Learning : Returns up to 4.01% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from SHFE_RB2, at 4.01%. The suggested trades for SHFE_RB5 and SHFE_RU1 also had notable 14 Days yields of 3.38% and 1.67%, respectively. The package had an overall average return of 0.76% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.85% in 1 Month

In this 1 Month 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 11.85%. Other notable stocks were PALL and SLV with a return of 8.19% and 6.27%. The package had an overall average return of 4.46% during the period.

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