Commodity Futures Based on Big Data: Returns up to 10.2% 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 top-performing prediction in this forecast was CME_NG1, which registered a return of 10.2%. Additional high returns came from ICE_KC1 and CME_WS1, at 6.92% and 3.04% respectively. The package had an overall average return of 2.84% during the period.

Commodity Futures Based on Algo Trading: Returns up to 5.45% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The prediction with the highest return was CME_NG1, at 5.45%. SHFE_RB2 and ICE_SB1 followed with returns of 2.06% and 1.84% for the 3 Days period. The package had an overall average return of 1.66% during the period.

Commodity Futures Based on Big Data: Returns up to 15.33% 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. CME_NG1 was the top performing prediction with a return of 15.33%. The suggested trades for CME_LC1 and ICE_KC1 also had notable 7 Days yields of 6.38% and 3.13%, respectively. The package had an overall average return of 2.8% during the period.

Commodity Futures Based on Data Mining: Returns up to 7.14% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. CME_NG1 was the highest-earning trade with a return of 7.14% in 3 Days. ICE_KC1, and SHFE_RB2 had notable returns of 1.67% and 0.87%. The package had an overall average return of 1.05% during the period.

Commodity Outlook Based on AI: Returns up to 3.08% 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 3.08% in 3 Days. Other notable stocks were NaturalGas and Zinc with a return of 2.56% and 2.03%. The package had an overall average return of 1.17% during the period.

Commodity Futures Based on Big Data: Returns up to 10.96% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The top performing prediction from this package was CME_NG1 with a return of 10.96%. Additional high returns came from ICE_KC1 and SHFE_RB5, at 3.48% and 0.94% respectively. The package had an overall average return of 1.1% 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 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 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 Futures Based on Genetic Algorithms: Returns up to 10.27% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ICE_B1, which registered a return of 10.27%. Further notable returns came from CME_NG1 and CME_CL1 at 3.21% and 2.58%, respectively. The package had an overall average return of 2.14% during the period.

Commodity Futures Based on Deep Learning: Returns up to 17.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 17.66% in 14 Days. CME_NG1 and CME_CL1 also performed well for this time horizon with returns of 16.76% and 7.7%, respectively. The package had an overall average return of 6.07% 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 Futures Based on AI: Returns up to 14.4% in 14 Days

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The prediction with the highest return was CME_NG1, at 14.4%. Additional high returns came from SHFE_RU1 and SHFE_ZN5, at 3.72% and 3.7% respectively. The package had an overall average return of 2.32% 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 Futures Based on Pattern Recognition: Returns up to 15.9% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The prediction with the highest return was CME_NG1, at 15.9%. The suggested trades for SHFE_RU1 and ICE_OJ1 also had notable 14 Days yields of 5.41% and 4.38%, respectively. The package had an overall average return of 3.13% during the period.

Commodity Futures Based on Stock Algorithm: Returns up to 8.23% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. CME_NG1 was the top performing prediction with a return of 8.23%. Other notable stocks were ICE_OJ1 and SHFE_ZN5 with a return of 5.93% and 3.22%. The package had an overall average return of 2.67% during the period.