Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.32% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from PALL, at 6.32%. PPLT and Cocoa also performed well for this time horizon with returns of 4.28% and 3.86%, respectively. The package had an overall average return of 1.77% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 2.56% 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 top-performing prediction in this forecast was KOL, which registered a return of 2.56%. The suggested trades for ICE_CT1 and PALL also had notable 3 Days yields of 0.88% and 0.71%, respectively. The package had an overall average return of 0.35% during the period.

Commodity Futures Based on Stock Market Algorithm: Returns up to 2.77% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The prediction with the highest return was SHFE_RU1, at 2.77%. Additional high returns came from CME_WS1 and CME_CL1, at 2.6% and 2.6% respectively. The package had an overall average return of 1.27% during the period.

Commodity Futures Based on AI: Returns up to 1.79% 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 prediction with the highest return was LIFFE_EMA1, at 1.79%. Other notable stocks were SHFE_RB3 and CME_LC1 with a return of 1.55% and 1.44%. The package had an overall average return of 0.54% during the period.

Commodity Futures Based on Genetic Algorithms: Returns up to 3.44% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. ICE_B1 was the top performing prediction with a return of 3.44%. CME_WS1 and CME_CL1 followed with returns of 2.69% and 2.69% for the 7 Days period. The package had an overall average return of 0.92% during the period.

Commodity Futures Based on Algo Trading: Returns up to 4.54% in 14 Days

8 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 CME_WS1, which registered a return of 4.54%. CME_CL1 and ICE_B1 also performed well for this time horizon with returns of 4.54% and 3.8%, respectively. The package had an overall average return of 2.0% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 4.32% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. CME_CL1 was our best stock pick this week a return of 4.32%. ICE_B1 and ^XNG also performed well for this time horizon with returns of 3.72% and 3.38%, respectively. The package had an overall average return of 0.81% during the period.

Commodity Futures Based on Big Data: Returns up to 12.66% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 1 Month time period. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 12.66%. Further notable returns came from ICE_B1 and ICE_CT1 at 7.16% and 7.16%, respectively. The package had an overall average return of 4.54% during the period.

Commodity Futures Based on Stock Algorithm: Returns up to 5.47% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. ICE_KC1 was our best stock pick this week a return of 5.47%. Further notable returns came from ICE_B1 and CME_WS1 at 3.09% and 1.92%, respectively. The package had an overall average return of 0.99% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 3.09% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 3.09% in 7 Days. Other notable stocks were XME and ICE_CT1 with a return of 1.49% and 1.39%. The package had an overall average return of 0.25% 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.

Commodity Price Forecast Based on Deep Learning: Returns up to 1.41% in 3 Days

7 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 GDX, which registered a return of 1.41%. Other notable stocks were PPLT and Aluminum with a return of 0.69% and 0.65%. The package had an overall average return of 0.11% during the period.

Commodity Futures Based on Big Data: Returns up to 1.43% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The highest trade return came from ICE_B1, at 1.43%. Other notable stocks were CME_RB1 and CME_WS1 with a return of 1.18% and 1.0%. The package had an overall average return of 0.53% during the period.

Commodity Futures Based on Deep-Learning: Returns up to 1.6% in 3 Days

8 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 ICE_B1, which registered a return of 1.6%. CME_RB1, and CME_WS1 had notable returns of 1.24% and 1.11%. The package had an overall average return of 0.73% during the period.

Commodity Futures Based on Deep-Learning : Returns up to 6.51% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from SHFE_RU1, at 6.51%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 5.58% and 5.58%, respectively. The package had an overall average return of 1.26% during the period.

Commodity Futures Based on Machine Learning: Returns up to 6.68% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. SHFE_RU1 was the top performing prediction with a return of 6.68%. Additional high returns came from SHFE_RB3 and CME_CL1, at 5.22% and 4.31% respectively. The package had an overall average return of 1.22% during the period.

Commodity Futures Based on Big Data: Returns up to 20.65% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The highest trade return came from ICE_KC1, at 20.65%. Further notable returns came from SHFE_RU1 and SHFE_RB5 at 15.59% and 9.25%, respectively. The package had an overall average return of 4.61% during the period.

Commodity Futures Based on Big Data: Returns up to 16.31% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. ICE_KC1 was the top performing prediction with a return of 16.31%. The suggested trades for SHFE_RU1 and SHFE_RB5 also had notable 1 Month yields of 16.13% and 8.91%, respectively. The package had an overall average return of 3.86% during the period.

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