Commodity Futures Based on Data Mining: Returns up to 8.21% in 7 Days

10 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. ICE_B1 saw monumental price change of 8.21% in just 7 Days. ICE_KC1, and CME_WS1 also had excellent performances with returns of 8.16% and 5.7% 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 Outlook Based on Algo Trading: Returns up to 159.82% in 1 Year

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 Outlook Based on Pattern Recognition: Returns up to 41.45% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. PALL was the top performing prediction with a return of 41.45%. Additional high returns came from ^JPLAT and WOOD, at 28.23% and 5.64% respectively. The package had an overall average return of 5.76% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 33.73% 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. PALL was the top performing prediction with a return of 33.73%. Further notable returns came from ^JPLAT and ICE_CT1 at 29.92% and 9.35%, respectively. The package had an overall average return of 6.51% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 42.44% in 3 Months

In this 3 Months forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. ^JPLAT was the highest-earning trade with a return of 42.44% in 3 Months. PALL, and ICE_CT1 had notable returns of 39.78% and 9.35%. The package had an overall average return of 9.28% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 35.61% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.61%. Further notable returns came from PALL and WOOD at 31.11% and 10.37%, respectively. The package had an overall average return of 6.95% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 206.64% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ^JPLAT was the top performing prediction with a return of 206.64%. PALL, and Nickel had notable returns of 68.77% and 24.33%. The package had an overall average return of 24.67% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 32.54% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 32.54%. PALL and Copper followed with returns of 27.05% and 9.28% for the 3 Months period. The package had an overall average return of 6.22% during the period.

Commodity Futures Based on Big Data: Returns up to 21.51% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from SHFE_RU1 at 21.51%. ICE_SB1 and SHFE_RB5 also performed well for this time horizon with returns of 13.38% and 9.07%, respectively. The package had an overall average return of 6.74% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 36.82% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 8 out of 10 movements. The greatest return came from ^JPLAT at 36.82%. Additional high returns came from PALL and WOOD, at 25.83% and 16.07% respectively. The package had an overall average return of 7.69% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 41.25% in 3 Months

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 41.25%. PALL and WOOD also performed well for this time horizon with returns of 26.26% and 14.89%, respectively. The package had an overall average return of 9.21% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 214.01% in 1 Year

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 214.01% in 1 Year. Further notable returns came from PALL and GDX at 56.76% and 34.74%, respectively. The package had an overall average return of 29.93% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 35.92% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.92%. PALL, and ICE_SB1 had notable returns of 22.96% and 7.6%. The package had an overall average return of 7.24% during the period.

Commodity Price Forecast Based on Big Data Analytics: Returns up to 37.03% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The prediction with the highest return was ^JPLAT, at 37.03%. Other notable stocks were PALL and IYM with a return of 21.0% and 6.18%. The package had an overall average return of 6.37% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 214.99% in 1 Year

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 214.99%. PALL, and GDX had notable returns of 56.07% and 38.57%. The package had an overall average return of 35.78% during the period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 44.7% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Months time period. ^JPLAT was the highest-earning trade with a return of 44.7% in 3 Months. ICE_KC1, and PALL had notable returns of 25.41% and 17.76%. The package had an overall average return of 9.63% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 200.09% in 1 Year

During the 1 Year forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ^JPLAT, at 200.09%. Other notable stocks were PALL and GDX with a return of 53.94% and 38.83%. The package had an overall average return of 31.37% during the period.

Commodity Futures Based on Machine Learning: Returns up to 3.05% 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. ICE_B1 was our best stock pick this week a return of 3.05%. Additional high returns came from CME_RB1 and CME_WS1, at 2.43% and 2.12% respectively. The package had an overall average return of 1.11% during the period.

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