Commodity Futures Prediction Based on Deep Learning: Returns up to 12.01% in 1 Month

eral predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 12.01%. SHFE_RB2 and ICE_B1 saw outstanding returns of 8.43% and 7.72%. The package had an overall average return of 3.07% during the period.

Commodity Futures Forecast Based on Big Data: Returns up to 10.92% in 1 Month

During the 1 Month 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 ICE_B1, at 10.92%. Further notable returns came from CME_RB1 and CME_CL1 at 10.71% and 10.45%, respectively. The package had an overall average return of 3.11% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 11.55% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from CME_RB1, at 11.55%. The suggested trades for CME_CL1 and CME_WS1 also had notable 1 Month yields of 9.36% and 9.36%, respectively. The package had an overall average return of 4.05% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 9.91% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was CME_RB1, which registered a return of 9.91%. Other notable stocks were CME_CL1 and CME_WS1 with a return of 8.95% and 8.95%. The package had an overall average return of 3.22% during the period.

Commodities Prediction Based on Stock Prediction Algorithm: Returns up to 9.88% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. SHFE_RB2 was our best stock pick this week a return of 9.88%. CME_RB1 and CME_O1 followed with returns of 6.99% and 5.83% for the 14 Days period. The package had an overall average return of 3.18% during the period.

Commodities Forecast Based on Big Data: Returns up to 9.85% in 1 Month

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 9.85%. CME_CL1 and CME_WS1 followed with returns of 9.28% and 9.28% for the 1 Month period. The package had an overall average return of 4.55% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 15.23% in 1 Month

During the 1 Month 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_CL1, at 15.23%. Further notable returns came from CME_WS1 and CME_RB1 at 15.23% and 14.85%, respectively. The package had an overall average return of 6.10% 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.

Commodities Prediction Based on Big Data: Returns up to 12.20% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_CL1 with a return of 12.20%. CME_WS1, and CME_RB1 had notable returns of 12.20% and 10.04%. The package had an overall average return of 3.61% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 11.21% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.21%. SHFE_RU1 and CME_CL1 also performed well for this time horizon with returns of 6.75% and 6.16%, respectively. The package had an overall average return of 3.16% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 11.15% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 11.15%. SHFE_RU1 and CME_CL1 saw outstanding returns of 7.64% and 4.52%. The package had an overall average return of 2.98% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.64% 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_RU1 with a return of 5.64%. SHFE_CU5, and SHFE_CU9 had notable returns of 4.01% and 3.90%. The package had an overall average return of 2.10% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 2.81% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_S1 was our best stock pick this week a return of 2.81%. SHFE_RU1 and CME_S5 followed with returns of 2.71% and 2.38% for the 7 Days period. The package had an overall average return of 1.18% 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.

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 Forecasts Based on Machine Learning: Returns up to 5.09% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from CME_NG1 at 5.09%. CME_O1 and ICE_B1 also performed well for this time horizon with returns of 4.41% and 2.92%, respectively. The package had an overall average return of 1.85% during the period.