Commodities Predictions Based on a Self-learning Algorithm: Returns up to 19.22% in 3 Days

9 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 19.22%. PALL and Uranium followed with returns of 6.62% and 4.98% for the 3 Days period. The package had an overall average return of 4.61% 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.

Commodities Prices Forecast Based on Genetic Algorithms: Returns up to 3.70% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 5 out 10 returns. The prediction with the highest return was ICE_SB1, at 3.70%. Further notable returns came from CME_SM4 and CME_SM1 at 1.63% and 1.58%, respectively. The package had an overall average return of 0.75% during the period.

Commodites Price Forecast Based on Genetic Algorithms: Returns up to 2.09% in 3 Days

Commodites Price Forecast for 3 days from July 20 2018 to July 23, 2018.

Commodity Forecast Based on Genetic Algorithms: Returns up to 4.35% in 3 Days

Commodity Forecast This Commodities Package is designed for investors who need commodity forecast to find the best performing commodities in the industry. It includes 20 Commodity Forecast with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package Name: Commodities Recommended […]

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 7.29% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was CME_W1 with a return of 7.29%. ICE_SB1, and ICE_IW1 had notable returns of 6.86% and 4.78%.  Besides that, CME_W5 and CME_NG1 also had remarkable returns of 3.52% and 3.23%, respectively. Other commodities that also went up in 7 days were ICE_OJ1 and CME_01. The package had an overall average return of 2.67% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 6.21% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_W1 was the top performing prediction with a return of 6.21%. Cocoa and WEAT saw outstanding returns of 5.44% and 4.15%. ICE_CC1 and ICE_SB2 followed with returns of 3.62% and 3.61%, respectively. Next, ICE_CT1 and CME_NG1 showed the returns of 1.17% and 0.45% for the 3 Days period, respectively. The package had an overall average return of 2.19% during the period.