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 Outlook Based on Big Data: Returns up to 27.21% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 3 Months time period. The highest trade return came from ^JPLAT, at 27.21%. GDX and GLD followed with returns of 19.54% and 11.78% for the 3 Months period. The package had an overall average return of 5.28% during the period.

Commodity Price Forecast Based on a Self-learning Algorithm: Returns up to 20.77% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 20.77% in 3 Months. GDX and PALL saw outstanding returns of 17.73% and 8.8%. The package had an overall average return of 3.03% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 17.48% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. ^JPLAT was the top performing prediction with a return of 17.48%. GDX and PALL saw outstanding returns of 14.63% and 11.0%. The package had an overall average return of 2.31% 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 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 Artificial Intelligence: Returns up to 27.23% in 3 Months

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 27.23%. GDX and PALL also performed well for this time horizon with returns of 25.85% and 15.72%, respectively. The package had an overall average return of 6.54% 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 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 Artificial Intelligence: Returns up to 31.8% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. XAG was the highest-earning trade with a return of 31.8% in 1 Month. Additional high returns came from Nickel and SLV, at 23.18% and 16.62% respectively. The package had an overall average return of 7.23% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 26.46% 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 in this forecast was XAG, which registered a return of 26.46%. Other notable stocks were Nickel and ^JPLAT with a return of 23.21% and 15.11%. The package had an overall average return of 7.1% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 25.77% in 1 Month

Commodity Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Outlook with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package Name: Commodities […]

Commodity Price Forecast Based on Deep-Learning : Returns up to 14.21% in 3 Days

Commodity Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Price Forecast with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package […]