Commodity Forecast Based on Genetic Algorithms: Returns up to 5.71% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was Coffee, at 5.71%. Further notable returns came from ICE_KC1 and Zinc at 3.23% and 1.44%, respectively. The package had an overall average return of 1.53% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 9.55% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Coffee was the top performing prediction with a return of 9.55%. ICE_KC1 and NaturalGas saw outstanding returns of 6.98% and 4.46%. The package had an overall average return of 3.01% 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 Predictions Based on a Self-learning Algorithm: Returns up to 8.61% 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 CME_NG1, at 8.61%. Further notable returns came from CME_O1 and ICE_KC1 at 6.61% and 6.34%, respectively. The package had an overall average return of 2.88% during the period.

Commodities Market Prediction Based on Algo Trading: Returns up to 11.56% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_O1 at 11.56%. CME_NG1 and ICE_KC1 also performed well for this time horizon with returns of 9.74% and 9.06%, respectively. The package had an overall average return of 4.40% during the period.

Commodity Predictions Based on a Self-learning Algorithm: Returns up to 7.38% in 3 Days

10 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 7.38%. ICE_KC1 and CME_CL1 followed with returns of 5.08% and 4.31% for the 3 Days period. The package had an overall average return of 3.34% during the period.

Commodities Prices Forecast Based on Algorithmic Trading: Returns up to 5.30% 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 5.30%. CME_WS1 and CME_CL1 also performed well for this time horizon with returns of 4.37% and 4.37%, respectively. The package had an overall average return of 2.45% during the period.

Commodities Market Expectations Based on Machine Learning: Returns up to 6.62% 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_O1 was the top performing prediction with a return of 6.62%. CME_CL1 and CME_NG1 saw outstanding returns of 6.39% and 3.93%. The package had an overall average return of 1.70% 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.

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.

Commodities Price Outlook Based on Artificial Intelligence: Returns up to 5.94% in 14 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 5.94%. ICE_CC5, and CME_HO1 had notable returns of 5.71% and 3.20%. CME_RB1, and ICE_B1 had notable returns of 3.09% and 2.84%. ICE_KC1, and CME_W5 had notable returns of 2.60% both. The package had an overall average return of 2.83% 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.

Commodities Price Predictions Based on Algorithmic Trading: Returns up to 6.23% in 14 Days

In this 14 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 ^XOI, which registered a return of 6.23%. Other notable commodities were FCG and ^XNG with a return of 5.57% and 4.36%. Also, positive returns were JJU and CME_CL1 with a return of 3.93% and 3.88%. The package had an overall average return of 2.70% 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.

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.