Commodity Forecast Based on a Self-learning Algorithm: Returns up to 9.91% 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 PALL, which registered a return of 9.91%. Other notable stocks were GDX and CME_NG1 with a return of 4.34% and 4.18%. The package had an overall average return of 3.11% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.68% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from PALL at 7.68%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 4.92% and 3.68%, respectively. The package had an overall average return of 2.36% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 5.71% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from ICE_KC1 at 5.71%. Coffee and ICE_SB1 also performed well for this time horizon with returns of 4.21% and 3.95%, respectively. The package had an overall average return of 1.77% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.71% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was Coffee, at 5.71%. Further notable returns came from ICE_KC1 and Zinc at 3.23% and 1.44%, respectively. The package had an overall average return of 1.53% during the period.

Commodities Market Outlook Based on Machine Learning: Returns up to 17.17% 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. The prediction with the highest return was ^JPLAT, at 17.17%. Further notable returns came from ^APAPR.T and PALL at 8.38% and 7.51%, respectively. The package had an overall average return of 4.33% during the period.

Commodities Prices Based on Algo Trading: Returns up to 13.25% 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 13.25%. Copper and CME_HG1 saw outstanding returns of 4.70% and 4.67%. The package had an overall average return of 3.12% during the period.

Commodities Predictions Based on a Self-learning Algorithm: Returns up to 19.22% in 3 Days

9 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 19.22%. PALL and Uranium followed with returns of 6.62% and 4.98% for the 3 Days period. The package had an overall average return of 4.61% during the period.

Commodity Market Predictions Based on AI: Returns up to 6.05% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. PALL was the top performing prediction with a return of 6.05%. GDX and ^APAPR.T saw outstanding returns of 4.28% and 3.65%. The package had an overall average return of 1.75% 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 […]

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 Price Outlook Based on Artificial Intelligence: Returns up to 13.90% in 1 Month

Commodities Price Outlook 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 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 […]

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.

Commodities Price Outlook Based on Artificial Intelligence: Returns up to 10.67% in 14 Days

During the 14 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 ^XOI, at 10.67%. Further notable returns came from FCG and CME_CL1 at 9.88% and 7.76%, respectively. Also, positive returns came from XAG and GDX at 5.71% and 5.44%, respectively. The package had an overall average return of 4.13% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 4.83% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. PALL was our best stock pick this week a return of 4.83%. ^XOI and FCG followed with returns of 3.80% and 3.38% for the 3 Days period. Also, ^XNG and ICE_B1 followed with returns of 2.62% and 1.65% for the same period. The package had an overall average return of 2.06% 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 11.57% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. JJU was our best stock pick this week a return of 11.57%. ^XOI and WEAT followed with returns of 5.29% and 3.43% for the 3 Days period. CME_W1 and GDX followed with returns of 3.18% and 3.08% for the same period. The package had an overall average return of 3.13% during the period.

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 7.77% in 14 Days

Commodities price forecasts from March 20th, 2018 until April 3rd, 2018.

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