Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 2.96% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CT1 was our best stock pick this week a return of 2.96%. CME_S1 and CME_S5 followed with returns of 2.76% and 2.36% for the 3 Days period. The package had an overall average return of 1.36% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 2.81% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_S1 was our best stock pick this week a return of 2.81%. SHFE_RU1 and CME_S5 followed with returns of 2.71% and 2.38% for the 7 Days period. The package had an overall average return of 1.18% during the period.

Commodities Market Expectations Based on Algo Trading: Returns up to 18.73% 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 ICE_SB1, at 18.73%. Further notable returns came from CME_BO1 and SHFE_ZN5 at 7.77% and 5.24%, respectively. The package had an overall average return of 3.25% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 20.34% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ICE_SB1 with a return of 20.34%. CME_BO1, and SHFE_ZN5 had notable returns of 8.13% and 6.39%. The package had an overall average return of 4.76% during the period.

Commodity Market Expectation Based on Big Data Algorithm: Returns up to 12.21% in 1 Month

9 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 12.21%. ICE_SB1 and CME_BO1 followed with returns of 11.90% and 5.83% for the 1 Month period. The package had an overall average return of 4.58% during the period.

Commodities Market Expectations Based on Algorithmic Trading: Returns up to 17.65% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from CME_NG1, at 17.65%. The suggested trades for ICE_SB1 and ICE_B1 also had notable 1 Month yields of 17.53% and 9.22%, respectively. The package had an overall average return of 4.32% during the period.

Commodities Market Expectations Based on AI: Returns up to 24.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_SB1, at 24.66%. The suggested trades for ICE_KC1 and CME_O1 also had notable 14 Days yields of 13.55% and 10.32%, respectively. The package had an overall average return of 7.25% during the period.

Commodities Market Outlook Based on Genetic Algorithms: Returns up to 13.55% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The top-performing prediction in this forecast was ICE_SB1, which registered a return of 13.55%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 10.88% and 8.65%. The package had an overall average return of 4.26% during the period.

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 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.

Commodities Prices Prediction Based on a Self-learning Algorithm: Returns up to 4.50% 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_LC1 was the top performing prediction with a return of 4.50%. ICE_SB1 and SHFE_RU1 saw outstanding returns of 3.33% and 2.37%. The package had an overall average return of 0.77% during the period.

Commodity Market Forecast Based on Genetic Algorithms: Returns up to 7.25% in 7 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ICE_SB1 was the highest-earning trade with a return of 7.25% in 7 Days. Additional high returns came from SHFE_RU1 and CME_LC1, at 2.43% and 1.60% respectively. The package had an overall average return of 0.81% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.41% 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 CME_O1 at 5.41%. SHFE_RB5 and SHFE_RB3 also performed well for this time horizon with returns of 3.83% and 3.71%, respectively. The package had an overall average return of 1.17% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 5.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from SHFE_RB5, at 5.28%. The suggested trades for SHFE_RB3 and SHFE_RB2 also had notable 7 Days yields of 3.86% and 3.66%, respectively. The package had an overall average return of 1.31% during the period.

Commodities Prices Prediction Based on Genetic Algorithms: Returns up to 5.58% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. SHFE_RB5 was the top performing prediction with a return of 5.58%. SHFE_RB3 and SHFE_RB2 saw outstanding returns of 4.52% and 4.26%. The package had an overall average return of 1.14% during the period.

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 4.29% in 3 Days

Commodities Price Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 18 Commodities Price Outlook with bullish or bearish signals indicating which are best to buy: Top 9 commodities for the long position Top 9 commodities for the short position Package […]

Commodites Price Predictions Based on Artificial Intelligence: Returns up to 10.57% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ICE_CC1, at 10.57%. The suggested trades for ICE_CC5 and ICE_CT1 also had notable 7 Days yields of 9.04% and 4.54%, respectively. Finally, positive returns came from CME_SM4 and CME_SM1 at 2.65% and 1.94%, respectively. The package had an overall average return of 2.04% during the period.