Commodities ETFs Prediction Based on Stock Algorithm: Returns up to 10.59% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Zinc was our best stock pick this week a return of 10.59%. ^CEX and Nickel followed with returns of 9.68% and 5.41% for the 3 Months period. The package had an overall average return of 2.87% during the period.

Commodities Outlook Based on Deep-Learning : Returns up to 4.53% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ICE_OJ1 was the top performing prediction with a return of 4.53%. CME_RB1 and CME_LC1 saw outstanding returns of 1.99% and 1.08%. The package had an overall average return of 0.53% during the period.

Commodities Price Prediction Based on Data Mining: Returns up to 9.85% in 1 Month

In this 1 Month 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 CME_RB1, which registered a return of 9.85%. Other notable stocks were CME_CL1 and ICE_B1 with a return of 9.28% and 5.88%. The package had an overall average return of 3.38% during the period.

Commodities ETFs Outlook Based on Pattern Recognition: Returns up to 7.54% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was USO, which registered a return of 7.54%. Other notable stocks were PPLT and GSP with a return of 5.02% and 4.16%. The package had an overall average return of 1.93% during the period.

Commodity Price Outlook Based on Genetic Algorithms: Returns up to 6.91% in 7 Days

During the 7 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 Cocoa, at 6.91%. Further notable returns came from ICE_CC1 and CME_CL1 at 6.91% and 6.37%, respectively. The package had an overall average return of 3.86% during the period.

Commodity Price Outlook Based on Stock Prediction Algorithm: Returns up to 12.20% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The top-performing prediction in this forecast was CME_CL1, which registered a return of 12.20%. Other notable stocks were CME_RB1 and ^JPLAT with a return of 10.04% and 8.34%. The package had an overall average return of 3.31% during the period.

Commodity ETFs Outlook Based on Deep Learning: Returns up to 19.49% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Zinc was the top performing prediction with a return of 19.49%. PALL and ^CEX saw outstanding returns of 11.06% and 10.98%. The package had an overall average return of 5.80% during the period.

Commodities Forecast Based on Pattern Recognition: Returns up to 12.77% 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 12.77%. Other notable stocks were CME_CL1 and ^JPLAT with a return of 11.94% and 6.87%. The package had an overall average return of 3.19% during the period.

Commodity Outlook Based on Big Data: Returns up to 18.36% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from CME_RB1 at 18.36%. Zinc and ICE_B1 also performed well for this time horizon with returns of 8.75% and 4.07%, respectively. The package had an overall average return of 2.03% during the period.

Commodity Forecast Based on Deep Learning: Returns up to 4.39% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from Cocoa, at 4.39%. The suggested trades for ICE_CC1 and Zinc also had notable 3 Days yields of 3.10% and 3.03%, respectively. The package had an overall average return of 1.34% during the period.

Commodity Market Review: Gasoline futures rose up to 26.57% over the past month.

Summary: Gasoline Futures (CME_RB1) had a remarkable return over the past month. Platinum (^JPLAT) rose 19.33% over the past month. Zinc price is up due to low inventories. Gasoline Futures Gasoline Futures (CME_RB1) sees a remarkable return of 26.57% over the past month in line with I Know First forecast. The gasoline futures have risen for […]

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 15.52% in 3 Months

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Zinc was our best stock pick this week a return of 15.52%. PALL and ^CEX followed with returns of 9.24% and 7.85% for the 3 Months period. The package had an overall average return of 4.90% during the period.

Commodity Price Prediction Based on Algo Trading: Returns up to 4.32% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 4.32%. ICE_CT1 and ^JPLAT saw outstanding returns of 2.95% and 2.05%. The package had an overall average return of 1.49% during the period.

Commodity Price Prediction Based on AI: Returns up to 12.99% in 14 Days

During the 14 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 ^JPLAT, at 12.99%. Further notable returns came from Zinc and CME_RB1 at 7.29% and 6.89%, respectively. The package had an overall average return of 3.76% during the period.

Commodities Outlook Based on Data Mining: Returns up to 10.16% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 10.16%. CME_RB1, and ICE_OJ1 had notable returns of 4.13% and 3.96%. The package had an overall average return of 2.27% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 5.72% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 5.72%. CME_RB1 and CME_CL1 saw outstanding returns of 3.37% and 2.49%. The package had an overall average return of 2.18% during the period.

Commodity Price Outlook Based on Machine Learning: Returns up to 5.72% in 3 Days

ring the 3 Days 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 ^JPLAT, at 5.72%. Further notable returns came from CME_RB1 and ICE_OJ1 at 3.17% and 2.86%, respectively. The package had an overall average return of 2.05% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 12.86% in 14 Days

8 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 12.86%. CME_RB1 and PALL followed with returns of 8.44% and 6.25% for the 14 Days period. The package had an overall average return of 3.74% during the period.

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