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.

Gold Price Predictions Based on Artificial Intelligence: Returns up to 5.22% in 14 Days

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Predictions predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for:

  • Gold ETF (GLD) direction
  • Physical Gold (XAU) direction
  • Silver (XAG) direction

Gold Forecast

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 Prediction Based on Artificial Intelligence: Returns up to 16.78% 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. ICE_KC1 was the top performing prediction with a return of 16.78%. NaturalGas and CME_NG1 saw outstanding returns of 5.67% and 4.69%. The package had an overall average return of 2.27% 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.

Gold Prediction Based on Stock Prediction Algorithm: Returns up to 4.75% in 14 Days

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Prediction predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for:

  • Gold ETF (GLD) direction
  • Physical Gold (XAU) direction
  • Silver (XAG) direction

Gold Forecast

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 Price Forecast Based on Machine Learning: Returns up to 9.55% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Coffee was the top performing prediction with a return of 9.55%. ICE_KC1 and NaturalGas saw outstanding returns of 6.98% and 4.46%. The package had an overall average return of 3.01% during the period.

Commodity Market Expectation Based on Big Data Algorithm: Returns up to 12.21% in 1 Month

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 12.21%. ICE_SB1 and CME_BO1 followed with returns of 11.90% and 5.83% for the 1 Month period. The package had an overall average return of 4.58% 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 Expectations Based on AI: Returns up to 24.66% 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 24.66%. The suggested trades for ICE_KC1 and CME_O1 also had notable 14 Days yields of 13.55% and 10.32%, respectively. The package had an overall average return of 7.25% 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.

Commodity Predictions Based on a Self-learning Algorithm: Returns up to 7.38% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 7.38%. ICE_KC1 and CME_CL1 followed with returns of 5.08% and 4.31% for the 3 Days period. The package had an overall average return of 3.34% during the period.

Commodities Market Outlook Based on Genetic Algorithms: Returns up to 13.55% in 14 Days

In this 14 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 ICE_SB1, which registered a return of 13.55%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 10.88% and 8.65%. The package had an overall average return of 4.26% during the period.