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

Gold Prediction 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 Package […]

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

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

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

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 Price Forecast 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 […]

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.

Commodities Algorithmic Forecast Based on AI: Returns up to 4.90% in 3 Days

In this 3 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 CME_O1, which registered a return of 4.90%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 4.31% and 3.99%. The package had an overall average return of 2.25% during the period.

Commodities Prices Forecast Based on Algorithmic Trading: Returns up to 5.30% 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 CME_O1 at 5.30%. CME_WS1 and CME_CL1 also performed well for this time horizon with returns of 4.37% and 4.37%, respectively. The package had an overall average return of 2.45% during the period.

Commodities Market Forecast Based on Algo Trading: Returns up to 9.22% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ICE_SB1, at 9.22%. The suggested trades for CME_WS1 and ICE_B1 also had notable 14 Days yields of 9.17% and 8.88%, respectively. The package had an overall average return of 3.67% during the period.

Commodity Expectations Based on a Self-learning Algorithm: Returns up to 17.87% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 17.87%. Other notable stocks were ICE_B1 and CME_NG1 with a return of 9.45% and 8.57%. The package had an overall average return of 5.35% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 4.41% 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. CME_WS1 was the top performing prediction with a return of 4.41%. CME_O1 and CME_NG1 saw outstanding returns of 3.65% and 1.24%. The package had an overall average return of 1.21% during the period.

Pages:1234567...69»