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 Artificial Intelligence: Returns up to 206.1% in 1 Year

7 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 206.1% in 1 Year. PALL, and Nickel had notable returns of 57.69% and 24.78%. The package had an overall average return of 27.5% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 14.23% 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 prediction with the highest return was ^JPLAT, at 14.23%. Other notable stocks were PALL and ICE_SB1 with a return of 12.29% and 4.02%. The package had an overall average return of 2.3% 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 Outlook Based on AI: Returns up to 16.77% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from ^JPLAT, at 16.77%. PALL, and ICE_B1 had notable returns of 12.09% and 6.03%. The package had an overall average return of 4.13% 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 Deep Learning: Returns up to 3.62% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. ^XNG was the highest-earning trade with a return of 3.62% in 7 Days. ICE_B1 and CME_CL1 followed with returns of 3.36% and 2.58% for the 7 Days period. The package had an overall average return of 0.58% during the period.

Commodity Price Forecast Based on Predictive Analytics: Returns up to 201.61% in 1 Year

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was ^JPLAT, at 201.61%. Additional high returns came from PALL and GDX, at 54.3% and 38.5% respectively. The package had an overall average return of 33.34% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 10.73% 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 top performing prediction from this package was ^JPLAT with a return of 10.73%. The suggested trades for PALL and ICE_B1 also had notable 1 Month yields of 9.97% and 8.71%, respectively. The package had an overall average return of 4.12% 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 Price Forecast Based on Machine Learning: Returns up to 204.07% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 204.07%. Further notable returns came from PALL and GDX at 51.84% and 37.18%, respectively. The package had an overall average return of 33.19% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 11.63% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 11.63%. Additional high returns came from PALL and ICE_B1, at 8.22% and 8.22% respectively. The package had an overall average return of 3.77% 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 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 Price Forecast Based on Algorithmic Trading: Returns up to 19.67% 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. ^JPLAT was the top performing prediction with a return of 19.67%. PALL, and ICE_SB1 had notable returns of 7.29% and 4.39%. The package had an overall average return of 4.91% 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 Outlook Based on Big Data: Returns up to 46.96% 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. ^JPLAT was the highest-earning trade with a return of 46.96% in 3 Months. Other notable stocks were ICE_KC1 and PALL with a return of 28.23% and 15.12%. The package had an overall average return of 11.33% during the period.