Commodity Outlook Based on a Self-learning Algorithm: Returns up to 9.17% in 3 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was CME_CL1 with a return of 9.17%. USO, and ^XNG had notable returns of 8.55% and 7.68%. The package had an overall average return of 4.72% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 8.79% in 3 Days

During the 3 Days 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 FCG, at 8.79%. Further notable returns came from ^XNG and USO at 7.92% and 3.42%, respectively. The package had an overall average return of 2.79% during the period

Commodity Outlook Based on Data Mining: Returns up to 5.22% 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 greatest return came from FCG at 5.22%. KOL and ^XNG also performed well for this time horizon with returns of 4.38% and 3.57%, respectively. The package had an overall average return of 2.33% during the period.

Commodities Prices Analysis Based on Data Mining: Returns up to 9.09% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ^XNG which registered a return of 6.36%. For the long positions the largest growth was registered by PALL with a return of 9.09%, during the same period. The package itself, had an overall average return of 2.13%, in the long position. With regards to the short position, the package had an overall average return of 2.06%. The I Know First Algorithm accurately forecasted 8 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 14 Days forecasted 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 Market Prediction Based on a Self-learning Algorithm: Returns up to 3.10% 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 3.10%. Further notable returns came from USO and CME_CL1 at 1.61% and 1.53%, respectively. The package had an overall average return of 0.89% during the period.

Commodities Price Outlook Based on Machine Learning: Returns up to 4.02% in 7 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 20 Commodities Price 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 […]

Commodites Price Predictions Based on Genetic Algorithms: Returns up to 8.12% in 7 Days

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 18 Commodites Price Predictions 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 […]

Commodities Market Review: Brent Crude Oil Climbs To New 3 Year High

Crude Oil Market ICE_B1, a benchmark for brent crude oils, had one of the highest returns of the commodities package with increases of 6.97% over the one month period from April 22 to May 22, 2018. One can reasonably suppose that geopolitical concerns led to this increase as crude oil hit some its highest prices […]

Commodities Price Outlook Based on Machine Learning: Returns up to 3.54% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. NaturalGas was the top performing prediction with a return of 3.54%. CME_NG1 and ^XNG saw outstanding returns of 2.75% and 1.79%. Additionally, ICE_B1 and FCG saw returns of 1.75% and 1.09%. Finally, CME_CL1 and IYM saw returns of 0.74% and 0.76%. The package had an overall average return of 1.25% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 5.29% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ^XNG was the highest-earning trade with a return of 5.29% in 3 Days. Additional high returns came from FCG and ICE_B1, at 4.53% and 2.83% respectively. Finally, positive returns came from ^XOI and NaturalGas, at 2.76% and 2.14% respectively. The package had an overall average return of 2.42% during the period.

Commodities Price Predictions Based on Algorithmic Trading: Returns up to 6.23% 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 top-performing prediction in this forecast was ^XOI, which registered a return of 6.23%. Other notable commodities were FCG and ^XNG with a return of 5.57% and 4.36%. Also, positive returns were JJU and CME_CL1 with a return of 3.93% and 3.88%. The package had an overall average return of 2.70% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.14% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was PALL, at 5.14%. Further notable returns came from JJU and IYM at 5.11% and 2.62%, respectively. Also notable returns came from FCG and ^XOI at 2.52% and 2.33%. The package had an overall average return of 2.17% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 5.15% in 1 Week

Commodities Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best-performing commodities in the industry. It includes 20 commodities 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 Recommended […]

Commodity Prediction Based on Pattern Recognition: Over 6% Short Sell Yield In 14 Days

Commodity Forecast from January 17th, 2017 to January 31st, 2017 based on I Know First’s stock forecast algorithm.

Top Commodities Based on Machine Learning: Returns up to 11.06% in 7 Days

Top Commodities from December 1st, 2016 to December 8th, 2016 based on I Know First’s stock forecast algorithm.

Commodity Forecast Based on Genetic Algorithms: Returns up to 32.86% in 3 Months

Commodity Forecast from September 11th, 2016 to December 11th, 2016 based on I Know First’s stock forecast algorithm.

Commodity Forecast based on Genetic Algorithms: Returns up to 23.91% in 3 Months

Commodity Forecast from September 1st, 2016 to December 1st, 2016 based on I Know First’s stock forecast algorithm.