Commodities Price Prediction Based on Stock Prediction Algorithm: Returns up to 4.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from CME_CL1, at 4.28%. The suggested trades for FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 4.28% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was CME_CL1, which registered a return of 4.28%. Other notable stocks were CME_WS1 and CME_RB1 with a return of 4.28% and 3.72%. The package had an overall average return of 2.61% during the period.

Commodities Market Review: Oil Prices Continue to Fluctuate Amid OPEC Supply Cuts

Summary: Over the three day trading period from January 06 to January 10 crude oil future settlements (CME_CL1) saw returns of 9.65%. Palladium (PALL) has risen +9.33% over the past 14 days in good agreement to the bullish I Know First forecast. On January 6th I Know First algorithm issued bullish predictions for commodities for a 3-Day […]

Commodities Price Outlook Based on Algorithmic Trading: Returns up to 9.65% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_CL1 was our best stock pick this week a return of 9.65%. USO and ^XNG followed with returns of 9.04% and 8.34% for the 3 Days period. The package had an overall average return of 5.45% during the period.
Crude Oil Futures, Continuous Contract #1.

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.

Commodities Price Prediction Based on Algorithmic Trading: Returns up to 9.17% 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 CME_CL1, at 9.17%. Further notable returns came from CME_WS1 and CME_RB1 at 9.17% and 5.76%, respectively. The package had an overall average return of 3.31% 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

Commodities Markets Analytics Based on AI: Returns up to 18.50% in 1 Month

During the 1 Month forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ICE_B1 which registered a return of 14.55%. For the long positions the largest growth was registered by CME_NG1 with a return of 18.50%, during the same period. The package itself, had an overall average return of 2.37%, in the long position. With regards to the short position, the package had an overall average return of 9.86%. The I Know First Algorithm accurately forecasted 5 out of 10 commodities, for the long position, and 9 out of 10 commodities, for the short position for this 1 Month forecasted 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 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 Market Expectations Based on Algo Trading: Returns up to 18.73% in 1 Month

During the 1 Month 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 ICE_SB1, at 18.73%. Further notable returns came from CME_BO1 and SHFE_ZN5 at 7.77% and 5.24%, respectively. The package had an overall average return of 3.25% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 20.34% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ICE_SB1 with a return of 20.34%. CME_BO1, and SHFE_ZN5 had notable returns of 8.13% and 6.39%. The package had an overall average return of 4.76% during the period.

Commodities Market Expectations Based on Algorithmic Trading: Returns up to 17.65% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from CME_NG1, at 17.65%. The suggested trades for ICE_SB1 and ICE_B1 also had notable 1 Month yields of 17.53% and 9.22%, respectively. The package had an overall average return of 4.32% during the period.

Commodities Market Predictions Based on a Self-learning Algorithm: Returns up to 8.61% 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 CME_NG1, at 8.61%. Further notable returns came from CME_O1 and ICE_KC1 at 6.61% and 6.34%, respectively. The package had an overall average return of 2.88% during the period.

Commodities Market Prediction Based on Algo Trading: Returns up to 11.56% 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_O1 at 11.56%. CME_NG1 and ICE_KC1 also performed well for this time horizon with returns of 9.74% and 9.06%, respectively. The package had an overall average return of 4.40% during the period.

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 Market Expectations Based on Machine Learning: Returns up to 18.70% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ICE_SB1 at 18.70%. ^JPLAT and CME_NG1 also performed well for this time horizon with returns of 15.13% and 11.34%, respectively. The package had an overall average return of 7.21% during the period.

Commodities Price Expectations Based on Machine Learning: Returns up to 15.75% in 1 Month

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 15.75%. CME_NG1, and NaturalGas had notable returns of 10.77% and 9.89%. The package had an overall average return of 6.02% during the period.

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