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 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 Deep-Learning: Returns up to 3.1% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 6 out of 10 movements. ICE_B1 was the top performing prediction with a return of 3.1%. CME_WS1 and CME_CL1 saw outstanding returns of 3.06% and 2.99%. The package had an overall average return of 1.28% 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 Futures Based on Algo Trading: Returns up to 4.74% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from ICE_B1 at 4.74%. CME_WS1 and CME_CL1 saw outstanding returns of 2.44% and 2.44%. The package had an overall average return of 1.19% 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 Futures Based on Big Data: Returns up to 4.51% in 14 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. The highest trade return came from ICE_B1, at 4.51%. Other notable stocks were CME_CL1 and CME_WS1 with a return of 2.75% and 2.75%. The package had an overall average return of 1.23% 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 Machine Learning: Returns up to 4.17% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 7 Days time period. The prediction with the highest return was ICE_KC1, at 4.17%. ICE_B1 and CME_RB1 saw outstanding returns of 2.44% and 2.37%. The package had an overall average return of 1.51% during the period.

Commodity Futures Based on AI: Returns up to 4.51% in 14 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. The prediction with the highest return was ICE_B1, at 4.51%. CME_CL1, and CME_WS1 had notable returns of 2.75% and 2.75%. The package had an overall average return of 1.16% 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 Price Forecast Based on Stock Prediction Algorithm: Returns up to 209.59% in 1 Year

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 209.59%. Other notable stocks were PALL and GDX with a return of 52.36% and 40.22%. The package had an overall average return of 22.94% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 197.47% in 1 Year

During the 1 Year forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. ^JPLAT was the highest-earning trade with a return of 197.47% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 51.93% and 35.86%, respectively. The package had an overall average return of 21.41% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 5.66% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ICE_KC1 was the top performing prediction with a return of 5.66%. Further notable returns came from ^JPLAT and Copper at 4.88% and 3.69%, respectively. The package had an overall average return of 2.61% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 203.26% in 1 Year

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. ^JPLAT was the highest-earning trade with a return of 203.26% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 45.0% and 31.25%, respectively. The package had an overall average return of 20.82% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 8.67% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The top performing prediction from this package was ^XNG with a return of 8.67%. Other notable stocks were ICE_B1 and CME_CL1 with a return of 2.02% and 1.91%. The package had an overall average return of 1.74% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 217.4% in 1 Year

For this 1 Year 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 217.4%. The suggested trades for PALL and GDX also had notable 1 Year yields of 47.19% and 33.19%, respectively. The package had an overall average return of 19.62% during the period.

Pages:123»