Commodities Forecast Based on Stock Market Algorithm: Returns up to 6.20% in 14 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. CME_RB1 was the highest-earning trade with a return of 6.20% in 14 Days. Additional high returns came from ICE_B1 and SHFE_RB2, at 3.33% and 3.16% respectively. The package had an overall average return of 2.07% during the period.

Commodity Price Outlook Based on Data Mining: Returns up to 5.88% 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 CME_RB1, at 5.88%. Further notable returns came from SHFE_RB2 and ICE_B1 at 4.92% and 3.39%, respectively. The package had an overall average return of 0.51% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 6.89% in 7 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 6.89%. SHFE_RB5, and CME_RB1 had notable returns of 5.94% and 2.19%. The package had an overall average return of 1.84% during the period.

Commodities Prediction Based on Algo Trading: Returns up to 5.96% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 5.96%. CME_RB1, and SHFE_RB5 had notable returns of 5.01% and 4.99%. The package had an overall average return of 2.40% during the period.

Commodities Prediction Based on AI: Returns up to 7.30% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from CME_RB1, at 7.30%. The suggested trades for SHFE_RB2 and ICE_CC1 also had notable 7 Days yields of 6.10% and 3.82%, respectively. The package had an overall average return of 2.34% during the period.

Commodity Price Prediction Based on Data Mining: Returns up to 5.10% in 3 Days

During the 3 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 CME_RB1, at 5.10%. Further notable returns came from SHFE_RB2 and SHFE_RB5 at 4.51% and 4.33%, respectively. The package had an overall average return of 2.23% during the period.

Commodities Forecast Based on Big Data: Returns up to 7.08% in 7 Days

Several predictions in this short-term 7 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 7.08%. CME_CL1 and SHFE_RB2 saw outstanding returns of 7.08% and 6.76%. The package had an overall average return of 4.72% during the period.

Commodities Prediction Based on Stock Prediction Algorithm: Returns up to 4.51% in 3 Days

During the 3 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 SHFE_RB2, at 4.51%. Further notable returns came from SHFE_RB5 and SHFE_RB3 at 4.51% and 4.04%, respectively. The package had an overall average return of 2.05% during the period.

Commodities Price Forecast Based on Predictive Analytics: Returns up to 6.91% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_CC1, at 6.91%. The suggested trades for CME_CL1 and CME_WS1 also had notable 7 Days yields of 6.37% and 6.37%, respectively. The package had an overall average return of 4.11% 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.

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 […]

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 11.15% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. SHFE_RB2 was the top performing prediction with a return of 11.15%. CME_HO1 and CME_RB1 saw outstanding returns of 7.09% and 6.75%. CME_WS1 and CME_CL1 saw outstanding returns of 5.82% both.  Finally, ICE_CC5 gave outstanding return of 3.64%. The package had an overall average return of 4.25% during the period.

Daily Commodity Market Forecast Based on Machine Learning: Returns up to 11.39% in 1 Month

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. SHFE_RB2 was the highest-earning trade with a return of 11.39% in 1 Month. Additional high returns came from ICE_CC1 and ICE_CC5, at 10.19% and 8.56% respectively. Finally, positive returns came from ICE_B1 and CME_HO1, at 7.08% and 6.63% respectively. The package had an overall average return of 5.94% during the period.

Trend Following Based on Artificial Intelligence: Returns up to 15.40% in 14 Days

Trend Following The left-hand graph shows the futures predictor forecast from April 23, 2018, which includes long and short recommendations. The green boxes are long signals while the red boxes are short signals. The right-hand side shows the returns of the suggested futures from April 23, 2018 to May 7, 2018. Package Name: Futures Forecast […]

Commodity Forecast Based on Artificial Intelligence: Returns up to 13.40% 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 ICE_OJ1 at 13.40%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 1.96% and 1.93%, respectively. ICE_CC1 and ICE_CC% also performed well for this time horizon with returns of 1.82% and 1.09%, respectively. The package had an overall average return of 2.47% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 13.09% in 1 Month

10 out of 10 commodities prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CC1 was our best commodity pick this week a return of 13.09%. CME_CL1 and CME_WS1 followed with returns of 10.02% and 10.02% for the 1 Month period. The package had an overall average return of 6.75% during the period.

Commodities Price Predictions Based on a Self-learning Algorithm: Returns up to 9.77% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ICE_OJ1 was the top performing prediction with a return of 9.77%. ICE_CC1 and ICE_B1 saw outstanding returns of 6.82% and 5.02%. Also, CME_SM4 and ICE_CC5 saw outstanding returns of 3.03% and 2.73%. Finally, CME_CL1 and CME_WS1 saw outstanding returns of 2.12% each. The package had an overall average return of 2.97% during the period.

Commodity Prediction Based on Genetic Algorithms: Returns up to 14.01% in 1 Month

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 14.01%. ICE_CC5, and CME_CL1 had notable returns of 8.03% and 4.60%. The package had an overall average return of 4.67% during the period.