Commodities Outlook Based on Genetic Algorithms: Returns up to 5.23% in 3 Days
Commodites Price Forecast for 3 days from July 29 2018 to August 01, 2018.
Commodities Market Prediction Algorithm
Commodities Market Prediction Algorithm This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes Commodities Market Prediction Algorithm 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 […]
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 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 Forecast Based on Artificial Intelligence: Returns up to 15.01% in 14 Days
During the 14 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 ICE_CC1, at 15.01%. Further notable returns came from ICE_CC5 and CME_W5 at 12.72% and 6.02%, respectively. Finally, positive returns came from ICE_IS1 and CME_SM4 at 5.48% and 4.26%, respectively. The package had an overall average return of 3.45% during the period.
Commodity Forecast Based on Machine Learning: Returns up to 13.11% in 14 Days
9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_IW1 was our best stock pick this week a return of 13.11%. ICE_CC5 and CME_SM4 followed with returns of 7.02% and 6.82% for the 14 Days period. Next, CME_SM1 and ICE_IS1 showed the returns of 6.52% and 4.99% for the 14 Days period, respectively. The package had an overall average return of 4.67% during the period.
Swing Trading Based on Machine Learning: Returns up to 4.33% in 7 Days
The algorithm correctly predicted 9 out 10 of the suggested trades in the Futures Package for this 7 Days forecast. ICE_CC1 was the highest-earning trade with a return of 4.33% in 7 Days. Other notable futures were ICE_CC5 and CME_SM1 with a return of 3.04% and 2.66%. The package had an overall average return of 1.77%, providing investors with a 1.77% premium over the S&P 500’s return of 0.00% during the period.
Automated Commodities Trading Based on a Self-learning Algorithm: Returns up to 3.15% in 3 Days
Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 10 out of 10 stock movements. ICE_CC1 was the top performing prediction with a return of 3.15%. ICE_CC5 and CME_SM1 saw outstanding returns of 3.03% and 2.55%. The package had an overall average return of 1.52% during the period.
Algo Trading Based on Machine Learning: Returns up to 12.89% in 14 Days
The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ICE_CC1 was the highest-earning trade with a return of 12.89% in 14 Days. Additional high returns came from CME_SM1 and CME_SM4, at 8.02% and 6.61% respectively. The package had an overall average return of 3.40% during the period.
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