Commodities Price Forecast Based on Artificial Intelligence: Returns up to 10.90% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was ICE_OJ1, which registered a return of 10.90%. Other notable stocks were ICE_CC1 and CME_LC1 with a return of 3.71% and 3.69%. Other notable stocks were CME_HO1 and ICE_CC5 with a return of 2.09% and 0.95%. The package had an overall average return of 2.25% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 9.78% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ICE_CC1 at 9.78%. CME_HO1 and CME_CL1 also performed well for this time horizon with returns of 6.76% and 5.78%, respectively. The package had an overall average return of 3.98% during the period.

Trend Prediction Algorithm Based on AI: Returns up to 3.92% 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_CC1 at 3.92%. ICE_B1 and CME_LC1 also performed well for this time horizon with returns of 3.91% and 3.28%, respectively. The package had an overall average return of 1.61% during the period.

Commodites Price Forecast Based on Artificial Intelligence: Returns up to 8.44% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 8.44%. CME_HO1, and CME_CL1 had notable returns of 7.46% and 6.77%. The package had an overall average return of 3.89% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.03% in 7 Days

During the 7 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 ICE_CC5, at 5.03%. Further notable returns came from CME_HO1 and ICE_CC1 at 3.35% and 2.98%, respectively. Finally, returns came from CME_RB1 and CME_CL1 at 2.32% and 1.55%, respectively. The package had an overall average return of 1.62% during the period.

Stock Market Trends Based on Genetic Algorithms: Returns up to 3.71% in 3 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 3.71%. CME_HO1, and CME_CL1 had notable returns of 1.51% and 1.48%. The package had an overall average return of 1.16% during the period.

Arbitrage Trading Based on Machine Learning: Commodities Futures Return up to 6.95% in 3 Days

Commodities Futures: The left-hand graph shows the commodities futures predictor forecast from March 20, 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 March 20, 2018 to March 23, 2018. Package Name: Futures […]

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.