Commodity Forecast Based on a Self-learning Algorithm: Returns up to 9.91% 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 PALL, which registered a return of 9.91%. Other notable stocks were GDX and CME_NG1 with a return of 4.34% and 4.18%. The package had an overall average return of 3.11% during the period.

Commodity Prediction Based on Genetic Algorithms: Returns up to 61.67% in 3 Months

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. CME_NG1 was the highest-earning trade with a return of 61.67% in 3 Months. Additional high returns came from NaturalGas and PALL, at 55.86% and 26.24% respectively. The package had an overall average return of 10.85% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.68% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from PALL at 7.68%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 4.92% and 3.68%, respectively. The package had an overall average return of 2.36% during the period.

Commodities Price Prediction Based on Machine Learning: Returns up to 52.85% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 5 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 52.85%. NaturalGas and PALL saw outstanding returns of 46.94% and 25.69%. The package had an overall average return of 5.17% during the period.

Commodities Market Expectations Based on a Self-learning Algorithm: Returns up to 36.95% in 1 Month

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 36.95%. NaturalGas and ^JPLAT followed with returns of 32.26% and 8.88% for the 1 Month period. The package had an overall average return of 5.03% during the period.

Commodities Predictions Based on AI: Returns up to 15.32% in 7 Days

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. NaturalGas was our best stock pick this week a return of 15.32%. CME_NG1 and PALL followed with returns of 14.87% and 5.61% for the 7 Days period. The package had an overall average return of 3.39% during the period.

Commodities Markets Prediction Based on Algorithmic Trading: Returns up to 31.97% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 5 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 31.97%. PALL and ^JPLAT saw outstanding returns of 7.71% and 2.46%. The package had an overall average return of 3.29% during the period.

Commodities Market Forecast Based on Genetic Algorithms: Returns up to 13.11% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_NG1 with a return of 13.11%. NaturalGas, and ICE_KC1 had notable returns of 10.01% and 6.10%. The package had an overall average return of 2.42% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 12.70% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_NG1 with a return of 12.70%. ICE_KC1, and Coffee had notable returns of 12.25% and 9.49%. The package had an overall average return of 2.61% during the period.

Commodity Forecast Based on Algorithmic Trading: Returns up to 12.07% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from ICE_KC1 at 12.07%. ICE_SB1 and Coffee also performed well for this time horizon with returns of 9.98% and 7.99%, respectively. The package had an overall average return of 2.87% during the period.

Commodities Outlook Based on AI : Returns up to 12.07% in 14 Days

In this 14 Days 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 ICE_KC1, which registered a return of 12.07%. Other notable stocks were Coffee and ICE_SB1 with a return of 12.07% and 9.98%. The package had an overall average return of 3.73% during the period.

Commodity Prediction Based on Artificial Intelligence: Returns up to 16.78% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. ICE_KC1 was the top performing prediction with a return of 16.78%. NaturalGas and CME_NG1 saw outstanding returns of 5.67% and 4.69%. The package had an overall average return of 2.27% during the period.

Commodity Market Expectations Based on Machine Learning: Returns up to 18.70% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ICE_SB1 at 18.70%. ^JPLAT and CME_NG1 also performed well for this time horizon with returns of 15.13% and 11.34%, respectively. The package had an overall average return of 7.21% during the period.

Commodities Price Expectations Based on Machine Learning: Returns up to 15.75% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 15.75%. CME_NG1, and NaturalGas had notable returns of 10.77% and 9.89%. The package had an overall average return of 6.02% during the period.

Commodity Expectations Based on a Self-learning Algorithm: Returns up to 17.87% 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 top-performing prediction in this forecast was ^JPLAT, which registered a return of 17.87%. Other notable stocks were ICE_B1 and CME_NG1 with a return of 9.45% and 8.57%. The package had an overall average return of 5.35% during the period.

Commodities Market Prices Based on Artificial Intelligence: Returns up to 17.52% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 17.52%. PALL, and CME_NG1 had notable returns of 8.98% and 7.65%. The package had an overall average return of 3.68% during the period.

Commodities Market Expectations Based on Artificial Intelligence: Returns up to 17.16% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 17.16%. PALL and ICE_B1 also performed well for this time horizon with returns of 13.23% and 8.54%, respectively. The package had an overall average return of 3.93% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 23.72% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from ^JPLAT at 23.72%. PALL and ^APAPR.T also performed well for this time horizon with returns of 10.01% and 3.96%, respectively. The package had an overall average return of 3.36% during the period.

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