Commodity Outlook Based on Pattern Recognition: Returns up to 8.80% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from ^XNG at 8.80%. FCG and CME_CL1 also performed well for this time horizon with returns of 6.97% and 5.32%, respectively. The package had an overall average return of 2.00% during the period.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 8.22% in 7 Days

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The top performing prediction from this package was ^XNG with a return of 8.22%. CME_CL1, and FCG had notable returns of 7.57% and 6.34%. The package had an overall average return of 2.25% 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.

Commodity Prices Forecast Based on Data Mining: Returns up to 12.92% in 3 Days

In this 3 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 NaturalGas, which registered a return of 12.92%. Other notable stocks were CME_NG1 and KOL with a return of 12.78% and 2.88%. The package had an overall average return of 2.45% during the period.

Commodity Forecast Based on Stock Prediction Algorithm: Returns up to 9.82% 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 greatest return came from CME_NG1 at 9.82%. Uranium and IYM also performed well for this time horizon with returns of 3.64% and 1.52%, respectively. The package had an overall average return of 1.88% 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

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 Forecast Based on Artificial Intelligence: Returns up to 16.69% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 16.69%. PALL and ^APAPR.T saw outstanding returns of 8.19% and 6.13%. The package had an overall average return of 3.35% during the period.

Commodities Market Expectations Based on Genetic Algorithms: Returns up to 24.14% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 24.14%. ICE_B1, and MOO had notable returns of 5.45% and 3.17%. The package had an overall average return of 4.08% during the period.

Commodities Prices Forecast Based on Algorithmic Trading: Returns up to 5.70% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. PALL was our best commodities prices forecast for this week a return of 5.70%. ^JPLAT and CME_LC1 followed with returns of 4.88% and 2.94% for the 14 Days period. The package had an overall average return of 1.11% during the period.

Commodities Market Predictions Based on Algo Trading: Returns up to 5.27% in 7 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ^JPLAT was the highest-earning trade with a return of 5.27% in 7 Days. Additional high returns came from PALL and CME_RB1, at 5.09% and 3.17% respectively. The package had an overall average return of 1.52% during the period.

Commodity Market Predictions Based on Genetic Algorithms: Returns up to 5.09% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 5.09%. ^JPLAT, and CME_RB1 had notable returns of 3.28% and 3.17%. The package had an overall average return of 1.36% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 4.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from Cocoa, at 4.65%. The suggested trades for ICE_CC1 and PALL also had notable 3 Days yields of 4.63% and 2.25%, respectively. The package had an overall average return of 0.73% during the period.

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 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.

Commodity Price Predictions Based on Genetic Algorithms: Returns up to 17.96% in 3 Months

Commodities Forecast from July 14, 2017 to October 14, 2017 based on I Know First’s stock forecast algorithm.

Commodities price Forecast Based on Artificial Intelligence: Returns up to 7.89% in 14 Days

Crude Oil Price Forecast from September 20, 2017 to October 4, 2017 based on I Know First’s stock forecast algorithm.

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