Commodities Market Forecast Based on Algo Trading: Returns up to 9.22% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ICE_SB1, at 9.22%. The suggested trades for CME_WS1 and ICE_B1 also had notable 14 Days yields of 9.17% and 8.88%, respectively. The package had an overall average return of 3.67% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 4.41% 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_WS1 was the top performing prediction with a return of 4.41%. CME_O1 and CME_NG1 saw outstanding returns of 3.65% and 1.24%. The package had an overall average return of 1.21% during the period.

Commodities Forecasts Based on Machine Learning: Returns up to 5.09% 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 CME_NG1 at 5.09%. CME_O1 and ICE_B1 also performed well for this time horizon with returns of 4.41% and 2.92%, respectively. The package had an overall average return of 1.85% during the period.

Commodities Prices Projections Based on a Self-learning Algorithm: Returns up to 4.12% in 3 Days

During the 3 Days 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 CME_O1, at 4.12%. Further notable returns came from CME_HG1 and CME_WS1 at 3.49% and 2.50%, respectively. The package had an overall average return of 1.09% during the period.

Commodity Predictions Based on Machine Learning: Returns up to 19.96% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ^JPLAT, at 19.96%. The suggested trades for PALL and CME_HG1 also had notable 7 Days yields of 8.35% and 7.17%, respectively. The package had an overall average return of 4.58% during the period.

Commodities Prices Based on Algo Trading: Returns up to 13.25% 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. ^JPLAT was the top performing prediction with a return of 13.25%. Copper and CME_HG1 saw outstanding returns of 4.70% and 4.67%. The package had an overall average return of 3.12% during the period.

Commodities Market Forecast Based on Genetic Algorithms: Returns up to 19.96% in 7 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ^JPLAT was the highest-earning trade with a return of 19.96% in 7 Days. Additional high returns came from CME_HG1 and PALL, at 7.95% and 7.65% respectively. The package had an overall average return of 4.69% during the period.

Commodity Market Predictions Based on AI: Returns up to 6.05% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. PALL was the top performing prediction with a return of 6.05%. GDX and ^APAPR.T saw outstanding returns of 4.28% and 3.65%. The package had an overall average return of 1.75% during the period.

Commodity Forecast Based on AI: Returns up to 5.98% 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 ICE_CT1 at 5.98%. CME_NG1 and CME_HG1 also performed well for this time horizon with returns of 2.53% and 1.79%, respectively. The package had an overall average return of 1.02% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 11.57% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. JJU was our best stock pick this week a return of 11.57%. ^XOI and WEAT followed with returns of 5.29% and 3.43% for the 3 Days period. CME_W1 and GDX followed with returns of 3.18% and 3.08% for the same period. The package had an overall average return of 3.13% during the period.