Commodity Outlook Based on Data Mining: Returns up to 7.7% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the top performing prediction with a return of 7.7%. CME_CL1 and XAG also performed well for this time horizon with returns of 2.78% and 2.57%, respectively. The package had an overall average return of 1.52% during the period.

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 Outlook Based on Predictive Analytics : Returns up to 4.15% 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 top-performing prediction in this forecast was ^XNG, which registered a return of 4.15%. Additional high returns came from CME_NG1 and NaturalGas, at 3.65% and 3.64% respectively. The package had an overall average return of 0.76% 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 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 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 Outlook Based on a Self-learning Algorithm: Returns up to 7.07% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was XAG, at 7.07%. Further notable returns came from SLV and GDX at 6.98% and 5.41%, respectively. The package had an overall average return of 2.25% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 4.32% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. XAG was the top performing prediction with a return of 4.32%. Additional high returns came from SLV and XAU, at 3.12% and 1.73% respectively. The package had an overall average return of 1.0% during the period.

Commodity Price Forecast Based on Deep-Learning : Returns up to 6.18% in 7 Days

10 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. ^XNG saw monumental price change of 6.18% in just 7 Days. Uranium, and CME_NG1 also had excellent performances with returns of 5.3% and 4.56% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Price Forecast Based on Deep Learning: Returns up to 10.32% in 14 Days

9 out of 10 top stock picks from the algorithm decreased as predicted for this 14 Days forecasting period. ^XNG saw monumental price change of 10.32% in just 14 Days. CME_NG1, and Uranium also had excellent performances with returns of 8.04% and 7.92% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Forecast Based on Self-learning Algorithm: Returns up to 15.08% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The prediction with the highest return was PALL, at 15.08%. Further notable returns came from NaturalGas and CME_NG1 at 12.15% and 11.21%, respectively. The package had an overall average return of 1.97% during the period.

Commodities Markets Analytics Based on AI: Returns up to 18.50% in 1 Month

During the 1 Month forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ICE_B1 which registered a return of 14.55%. For the long positions the largest growth was registered by CME_NG1 with a return of 18.50%, during the same period. The package itself, had an overall average return of 2.37%, in the long position. With regards to the short position, the package had an overall average return of 9.86%. The I Know First Algorithm accurately forecasted 5 out of 10 commodities, for the long position, and 9 out of 10 commodities, for the short position for this 1 Month forecasted period.

Commodities Prices Analysis Based on Data Mining: Returns up to 9.09% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ^XNG which registered a return of 6.36%. For the long positions the largest growth was registered by PALL with a return of 9.09%, during the same period. The package itself, had an overall average return of 2.13%, in the long position. With regards to the short position, the package had an overall average return of 2.06%. The I Know First Algorithm accurately forecasted 8 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 14 Days forecasted period.

Pages:123»