Commodity Outlook Based on Stock Market Algorithm: Returns up to 5.91% in 14 Days

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 Artificial Intelligence: Returns up to 5.35% in 14 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 […]

Commodity Outlook Based on Big Data: Returns up to 3.72% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. ^JPLAT was the top performing prediction with a return of 3.72%. Additional high returns came from Zinc and CME_S1, at 2.3% and 2.16% respectively. The package had an overall average return of 1.24% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 23.78% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The highest trade return came from ^JPLAT, at 23.78%. Additional high returns came from Nickel and PPLT, at 10.05% and 8.67% respectively. The package had an overall average return of 4.18% during the period.

Commodity Outlook Based on Big Data Analytics : Returns up to 23.37% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was ^JPLAT, at 23.37%. Additional high returns came from Nickel and PPLT, at 10.91% and 7.85% respectively. The package had an overall average return of 4.32% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 21.46% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 21.46%. Additional high returns came from PALL and Nickel, at 12.99% and 9.93% respectively. The package had an overall average return of 7.24% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 21.46% in 1 Month

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.46%. Nickel and PALL followed with returns of 11.81% and 11.34% for the 1 Month period. The package had an overall average return of 7.16% during the period.

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 Big Data Analytics : Returns up to 10.28% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from Nickel at 10.28%. XAG and SLV also performed well for this time horizon with returns of 6.64% and 6.4%, respectively. The package had an overall average return of 3.33% 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 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.