Commodity Price Forecast Based on AI: Returns up to 12.21% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The prediction with the highest return was ^JPLAT, at 12.21%. XME, and WOOD had notable returns of 4.58% and 3.73%. The package had an overall average return of 1.11% during the period.

Commodity Futures Based on Deep Learning: Returns up to 4.0% in 3 Days

Commodity Futures This Commodity Futures Package is designed for investors who need commodity recommendations to find the best performing commodity futures in the industry. It includes 20 commodity futures with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for the short […]

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 Outlook Based on Deep Learning: Returns up to 5.96% 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 5.96% in 3 Days. Further notable returns came from NaturalGas and ^XNG at 5.18% and 4.76%, respectively. The package had an overall average return of 1.9% during the period.

Commodity Futures Based on Algo Trading: Returns up to 6.16% 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. The top performing prediction from this package was CME_NG1 with a return of 6.16%. Additional high returns came from CME_CL1 and CME_WS1, at 2.75% and 2.75% respectively. The package had an overall average return of 1.25% during the period.

Commodities Price Forecast Based on a Self-learning Algorithm: Returns up to 57.09% in 3 Months

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 57.09%. PALL and GDX followed with returns of 22.66% and 10.83% for the 3 Months period. The package had an overall average return of 6.63% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_RB1, at 24.56%. The suggested trades for CME_CL1 and ICE_B1 also had notable 1 Month yields of 6.35% and 5.86%, respectively. The package had an overall average return of 4.27% during the period.

Commodities Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. CME_RB1 was the highest-earning trade with a return of 24.56% in 1 Month. Additional high returns came from CME_CL1 and ICE_B1, at 6.35% and 5.86% respectively. The package had an overall average return of 4.27% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.39% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.39%. PALL and ^JPLAT also performed well for this time horizon with returns of 10.51% and 10.20%, respectively. The package had an overall average return of 6.13% during the period.

Commodities Markets Trends Based on Algorithmic Trading: Returns up to 10.83% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 10.83%. ICE_B1 and ^JPLAT followed with returns of 7.71% and 5.68% for the 3 Days period. The package had an overall average return of 2.89% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 5.24% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was CME_LC1 with a return of 5.24%. SHFE_RU1, and CME_S1 had notable returns of 3.73% and 3.62%. The package had an overall average return of 2.13% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 2.81% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_S1 was our best stock pick this week a return of 2.81%. SHFE_RU1 and CME_S5 followed with returns of 2.71% and 2.38% for the 7 Days period. The package had an overall average return of 1.18% during the period.

Commodities Forecast Based on Algo Trading: Returns up to 5.26% in 3 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_HG1 was our best stock pick this week a return of 5.26%. ^CEX and PPLT followed with returns of 4.11% and 4.00% for the 3 Days period. The package had an overall average return of 2.36% during the period

Commodity Prediction Based on AI : Returns up to 28.61% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ICE_SB1 with a return of 28.61%. CME_O1, and CME_NG1 had notable returns of 18.57% and 9.21%. The package had an overall average return of 6.07% during the period.
Sugar No. 11 Futures, Continuous Contract #1.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 16.94% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_SB1, at 16.94%. The suggested trades for CME_O1 and ICE_B1 also had notable 14 Days yields of 15.26% and 6.94%, respectively. The package had an overall average return of 5.90% during the period.

Commodity Predictions Based on a Self-learning Algorithm: Returns up to 7.38% in 3 Days

10 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 7.38%. ICE_KC1 and CME_CL1 followed with returns of 5.08% and 4.31% for the 3 Days period. The package had an overall average return of 3.34% during the period.

Commodities Market Outlook Based on Genetic Algorithms: Returns up to 13.55% 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. The top-performing prediction in this forecast was ICE_SB1, which registered a return of 13.55%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 10.88% and 8.65%. The package had an overall average return of 4.26% during the period.

Commodities Algorithmic Forecast Based on AI: Returns up to 4.90% 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 top-performing prediction in this forecast was CME_O1, which registered a return of 4.90%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 4.31% and 3.99%. The package had an overall average return of 2.25% during the period.