Commodities Prediction Based on Predictive Analytics : Returns up to 5.91% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_WS1 at 5.91%. CME_CL1 and ICE_CT1 also performed well for this time horizon with returns of 5.91% and 2.78%, respectively. The package had an overall average return of 1.91% during the period.

Commodity Forecast Based on Deep Learning: Returns up to 4.39% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from Cocoa, at 4.39%. The suggested trades for ICE_CC1 and Zinc also had notable 3 Days yields of 3.10% and 3.03%, respectively. The package had an overall average return of 1.34% during the period.

Commodity Price Prediction Based on Algo Trading: Returns up to 4.32% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 4.32%. ICE_CT1 and ^JPLAT saw outstanding returns of 2.95% and 2.05%. The package had an overall average return of 1.49% during the period.

Commodities Price Outlook Based on AI: Returns up to 3.87% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 3.87%. ^APAPR.T and ICE_CT1 saw outstanding returns of 3.72% and 3.27%. The package had an overall average return of 1.02% during the period.

Commodities Outlook Based on Data Mining: Returns up to 10.16% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 10.16%. CME_RB1, and ICE_OJ1 had notable returns of 4.13% and 3.96%. The package had an overall average return of 2.27% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 5.72% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 5.72%. CME_RB1 and CME_CL1 saw outstanding returns of 3.37% and 2.49%. The package had an overall average return of 2.18% during the period.

Commodity Price Outlook Based on Machine Learning: Returns up to 5.72% in 3 Days

ring the 3 Days 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 5.72%. Further notable returns came from CME_RB1 and ICE_OJ1 at 3.17% and 2.86%, respectively. The package had an overall average return of 2.05% during the period.

Commodities Forecast Based on AI: Returns up to 5.96% in 3 Days

During the 3 Days 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 5.96%. Further notable returns came from ICE_OJ1 and CME_RB1 at 2.88% and 1.80%, respectively. The package had an overall average return of 1.56% during the period.

Commodities Prediction Based on Machine Learning: Returns up to 6.99% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ^JPLAT, at 6.99%. The suggested trades for Zinc and CME_CL1 also had notable 7 Days yields of 3.32% and 3.28%, respectively. The package had an overall average return of 2.18% during the period.

Commodity Markets Expectations Based on Algorithmic Trading: Returns up to 2.69% in 3 Days

During the 3 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from Coffee which registered a return of 3.40%. For the long positions the largest growth was registered by PALL with a return of 2.69%, during the same period. The package itself, had an overall average return of 0.81%, in the long position. With regards to the short position, the package had an overall average return of 1.07%. The I Know First Algorithm accurately forecasted 9 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 3 Days forecasted period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 2.96% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CT1 was our best stock pick this week a return of 2.96%. CME_S1 and CME_S5 followed with returns of 2.76% and 2.36% for the 3 Days period. The package had an overall average return of 1.36% during the period.

Commodities Price Outlook Based on Algo Trading: Returns up to 7.72% in 14 Days

Commodites Price Forecast for 3 days from July 20 2018 to July 23, 2018.

Commodites Price Predictions

Commodites Price Predictions This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 14 Commodites Price Predictions with bullish or bearish signals indicating which are best to buy: Top 7 commodities for the long position Top 7 commodities for the short position Package […]

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 4.29% in 3 Days

Commodities Price Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 18 Commodities Price Outlook with bullish or bearish signals indicating which are best to buy: Top 9 commodities for the long position Top 9 commodities for the short position Package […]

Commodity Forecast Based on AI: Returns up to 5.98% 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. The greatest return came from ICE_CT1 at 5.98%. CME_NG1 and CME_HG1 also performed well for this time horizon with returns of 2.53% and 1.79%, respectively. The package had an overall average return of 1.02% during the period.

Commodities Predictions Based on Machine Learning: Returns up to 8.32% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecast Package for the 1 Month time period. The greatest return came from CME_RB1 at 8.32%. Other notable futures were ICE_B1 and CME_WS1 with a return of 6.97% and 5.61%. Finally, positive returns were provided by CME_CL1 and ICE_CT1 with a return of 5.48% and 3.45%. The package itself saw an overall return of 2.12%, providing investors with a 2.12%.

Trend Following Based on Artificial Intelligence: Returns up to 15.40% in 14 Days

Trend Following The left-hand graph shows the futures predictor forecast from April 23, 2018, which includes long and short recommendations. The green boxes are long signals while the red boxes are short signals. The right-hand side shows the returns of the suggested futures from April 23, 2018 to May 7, 2018. Package Name: Futures Forecast […]

Commodity Forecast Based on Artificial Intelligence: Returns up to 13.40% 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 ICE_OJ1 at 13.40%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 1.96% and 1.93%, respectively. ICE_CC1 and ICE_CC% also performed well for this time horizon with returns of 1.82% and 1.09%, respectively. The package had an overall average return of 2.47% during the period.

Pages:12»