Commodity Outlook Based on Predictive Analytics: Returns up to 12.11% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The prediction with the highest return was ^JPLAT, at 12.11%. Additional high returns came from CME_LC1 and PALL, at 3.68% and 1.32% respectively. The package had an overall average return of 0.61% during the period.

Commodity Futures Based on Big Data: Returns up to 10.67% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from ICE_SB1 at 10.67%. CME_S1 and CME_LC1 also performed well for this time horizon with returns of 3.77% and 2.21%, respectively. The package had an overall average return of 1.18% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 10.49% in 3 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_SB1 was the highest-earning trade with a return of 10.49% in 3 Days. Other notable stocks were ^JPLAT and CME_LC1 with a return of 10.25% and 1.69%. The package had an overall average return of 2.62% during the period.

Commodity Outlook Based on Big Data: Returns up to 9.96% 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 highest-earning trade with a return of 9.96% in 7 Days. Additional high returns came from ICE_SB1 and CME_LC1, at 7.97% and 3.69% respectively. The package had an overall average return of 2.71% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 5.6% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 5.6%. ICE_SB1 and Zinc also performed well for this time horizon with returns of 3.38% and 1.88%, respectively. The package had an overall average return of 1.09% during the period.

Commodity Price Forecast Based on AI: Returns up to 2.79% in 3 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The highest trade return came from PALL, at 2.79%. Zinc and CME_LC1 saw outstanding returns of 2.16% and 1.97%. The package had an overall average return of 0.6% 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 Algo Trading: Returns up to 28.3% in 3 Months

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. ^JPLAT was the highest-earning trade with a return of 28.3% in 3 Months. GDX, and PALL had notable returns of 15.67% and 9.92%. The package had an overall average return of 4.01% 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 Futures Based on Big Data Analytics : Returns up to 3.8% 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 highest trade return came from CME_NG1, at 3.8%. CME_CL1 and CME_WS1 followed with returns of 3.32% and 3.32% for the 14 Days period. The package had an overall average return of 1.56% 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 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 Futures Based on Pattern Recognition: Returns up to 7.09% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from SHFE_RU1, at 7.09%. The suggested trades for CME_CL1 and SHFE_ZN5 also had notable 1 Month yields of 5.91% and 2.83%, respectively. The package had an overall average return of 1.51% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 11.83% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 11.83%. The suggested trades for CME_S1 and SHFE_RU1 also had notable 14 Days yields of 3.77% and 3.45%, respectively. The package had an overall average return of 2.74% 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.

Pages:«1234567...42»