Commodity Price Forecast Based on Data Mining: Returns up to 3.48% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The greatest return came from ICE_B1 at 3.48%. CME_NG1, and WOOD had notable returns of 2.21% and 1.92%. The package had an overall average return of 0.46% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 16.11% 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 greatest return came from Nickel at 16.11%. Further notable returns came from ^JPLAT and XAG at 11.82% and 7.07%, respectively. The package had an overall average return of 3.7% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 5.49% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. WOOD was the highest-earning trade with a return of 5.49% in 7 Days. CME_NG1 and Uranium also performed well for this time horizon with returns of 4.73% and 4.5%, respectively. The package had an overall average return of 2.23% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 4.9% 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. ^XNG was the top performing prediction with a return of 4.9%. WOOD and KOL also performed well for this time horizon with returns of 4.45% and 3.74%, respectively. The package had an overall average return of 2.32% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 7.05% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The greatest return came from ^XNG at 7.05%. KOL, and WOOD had notable returns of 4.69% and 4.66%. The package had an overall average return of 2.09% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 5.96% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was the highest-earning trade with a return of 5.96% in 3 Days. Further notable returns came from NaturalGas and ^XNG at 5.18% and 4.76%, respectively. The package had an overall average return of 1.9% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 15.25% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The highest trade return came from Nickel, at 15.25%. PPLT and PALL saw outstanding returns of 10.33% and 5.19%. The package had an overall average return of 2.63% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 13.79% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. The top performing prediction from this package was Nickel with a return of 13.79%. Other notable stocks were PPLT and ^JPLAT with a return of 9.13% and 8.24%. The package had an overall average return of 3.42% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 12.9% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The greatest return came from Nickel at 12.9%. Other notable stocks were ^JPLAT and PPLT with a return of 12.78% and 10.15%. The package had an overall average return of 5.58% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 27.69% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was our best stock pick this week a return of 27.69%. Nickel and SLV followed with returns of 20.83% and 14.62% for the 1 Month period. The package had an overall average return of 9.07% during the period.

Commodity Price Forecast Based on AI: Returns up to 7.17% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The greatest return came from NaturalGas at 7.17%. CME_NG1 and PPLT also performed well for this time horizon with returns of 6.57% and 2.84%, respectively. The package had an overall average return of 2.12% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 14.99% 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. Nickel was the highest-earning trade with a return of 14.99% in 7 Days. ^JPLAT, and XAG had notable returns of 8.66% and 7.76%. The package had an overall average return of 4.49% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 14.31% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was the top performing prediction with a return of 14.31%. The suggested trades for SLV and Nickel also had notable 14 Days yields of 14.27% and 13.97%, respectively. The package had an overall average return of 6.47% during the period.

Commodity Outlook Based on Big Data Analytics : Returns up to 34.13% 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. XAG was the highest-earning trade with a return of 34.13% in 1 Month. Other notable stocks were Nickel and SLV with a return of 24.8% and 20.74%. The package had an overall average return of 12.11% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 7.29% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was the top performing prediction with a return of 7.29%. Further notable returns came from NaturalGas and CME_NG1 at 7.21% and 7.0%, respectively. The package had an overall average return of 3.8% during the period.

Commodity Price Forecast Based on Predictive Analytics : Returns up to 9.2% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Nickel was the highest-earning trade with a return of 9.2% in 3 Days. Other notable stocks were XAG and SLV with a return of 5.43% and 4.8%. The package had an overall average return of 1.59% during the period.

Commodity Outlook Based on AI: Returns up to 14.83% in 7 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The top-performing prediction in this forecast was Nickel, which registered a return of 14.83%. Further notable returns came from XAG and ^JPLAT at 9.07% and 8.9%, respectively. The package had an overall average return of 6.12% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 14.06% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The prediction with the highest return was XAG, at 14.06%. SLV, and Nickel had notable returns of 13.3% and 13.08%. The package had an overall average return of 4.54% during the period.