Commodities Prediction Based on Big Data Analytics : Returns up to 2.03% 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. CME_RB1 was the top performing prediction with a return of 2.03%. ^CEX and ICE_CC1 saw outstanding returns of 1.66% and 1.34%. The package had an overall average return of 0.68% during the period.

Commodity ETFs Outlook Based on Pattern Recognition: Returns up to 3.30% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ^CEX with a return of 3.30%. IYM, and Cocoa had notable returns of 2.97% and 2.66%. The package had an overall average return of 1.17% during the period.

Commodity Price Outlook Based on AI: Returns up to 6.99% in 14 Days

6 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 6.99%. ^CEX and USO followed with returns of 4.38% and 4.29% for the 14 Days period. The package had an overall average return of 1.90% 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.

Commodities Price Forecast Based on Big Data Analytics: Returns up to 7.52% 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 USO, at 7.52%. Further notable returns came from PPLT and Zinc at 6.20% and 4.43%, respectively. The package had an overall average return of 1.35% during the period.

Commodity ETFs Outlook Based on Predictive Analytics: Returns up to 4.21% 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. Cocoa was the top performing prediction with a return of 4.21%. WOOD and USO saw outstanding returns of 3.98% and 3.92%. The package had an overall average return of 2.03% 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.

Commodities Price Outlook Based on AI: Returns up to 3.87% 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_RB1 was the top performing prediction with a return of 3.87%. ^APAPR.T and ICE_CT1 saw outstanding returns of 3.72% and 3.27%. The package had an overall average return of 1.02% 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 AI: Returns up to 5.96% in 3 Days

During 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 5.96%. Further notable returns came from ICE_OJ1 and CME_RB1 at 2.88% and 1.80%, respectively. The package had an overall average return of 1.56% during the period.

Commodities Price Outlook Based on Stock Algorithm: Returns up to 15.26% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 15.26%. CME_RB1 and PALL saw outstanding returns of 10.01% and 6.27%. The package had an overall average return of 3.52% during the period.

Commodity Outlook Based on AI: Returns up to 8.82% in 7 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 8.82%. CME_RB1, and PALL had notable returns of 6.81% and 5.17%. The package had an overall average return of 4.34% during the period.

Commodities Price Outlook Based on Data Mining: Returns up to 8.08% in 3 Days

9 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 8.08%. PALL and CME_CL1 followed with returns of 3.64% and 2.39% for the 3 Days period. The package had an overall average return of 2.03% during the period.

Commodity Market Trends Based on Artificial Intelligence: Returns up to 7.80% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ^JPLAT, at 7.80%. The suggested trades for PALL and CME_RB1 also had notable 3 Days yields of 4.60% and 4.27%, respectively. The package had an overall average return of 2.82% during the period.

Commodity Outlook Based on Data Mining: Returns up to 10.87% 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 Nickel, which registered a return of 10.87%. Other notable stocks were ^JPLAT and WOOD with a return of 10.84% and 3.48%. The package had an overall average return of 2.92% during the period.

Commodity Price Prediction Based on Machine Learning: Returns up to 11.52% in 14 Days

During the 14 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 Nickel, at 11.52%. Further notable returns came from XME and WOOD at 6.59% and 5.73%, respectively. The package had an overall average return of 3.48% during the period.
Nickel, as a metals commodity is traded on futures/forward contracts and the price movement is tracked on the Dow Jones-UBS Nickel Subindex (DJUBSNI).

Pages:1234»