Commodity Outlook Based on a Self-learning Algorithm: Returns up to 7.07% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was XAG, at 7.07%. Further notable returns came from SLV and GDX at 6.98% and 5.41%, respectively. The package had an overall average return of 2.25% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 8.46% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. XAG was the top performing prediction with a return of 8.46%. SLV and GDX also performed well for this time horizon with returns of 8.19% and 6.89%, respectively. The package had an overall average return of 3.11% during the period.

Commodity Futures Based on Machine Learning: Returns up to 3.43% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Days time period. CME_CL1 was the highest-earning trade with a return of 3.43% in 3 Days. ICE_B1 and SHFE_RU1 also performed well for this time horizon with returns of 2.59% and 1.2%, respectively. The package had an overall average return of 0.53% during the period.

Gold Forecast Based on Data Mining: Returns up to 6.19% in 1 Month

Gold Forecast This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives 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 Name: Gold […]

Gold Outlook Based on Stock Algorithm: Returns up to 4.61% in 14 Days

Gold Outlook This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives price outlook 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 Name: […]

Gold Price Forecast Based on Big Data Analytics : Returns up to 8.42% in 14 days

Gold Price Forecast This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Forecast 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) […]

Gold Price Forecast Based on Predictive Analytics : Returns up to 7.42% in 1 Month

Gold Price Forecast This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Forecast 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) […]

Commodities Price Prediction Based on Machine Learning: Returns up to 5.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from USO, at 5.65%. The suggested trades for CME_CL1 and GDX also had notable 3 Days yields of 5.38% and 5.04%, respectively. The package had an overall average return of 2.15% during the period.

Commodities Market Predictions Based on Pattern Recognition: Returns up to 5.89% in 3 Days

Commodities Market Predictions This Commodity Futures Package is designed for investors who need commodity market predictions to find the best performing commodity futures in the industry. It includes 20 commodity futures with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for […]

Commodity Futures Prediction Based on Deep Learning: Returns up to 12.01% in 1 Month

eral predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 12.01%. SHFE_RB2 and ICE_B1 saw outstanding returns of 8.43% and 7.72%. The package had an overall average return of 3.07% during the period.

Commodity Futures Outlook Based on Artificial Intelligence: Returns up to 13.12% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking stock advice. The best performance in the short position came from ICE_OJ1 which registered a return of 13.12%. For the long positions the largest growth was registered by CME_RB1 with a return of 5.54%, during the same period. The package itself, had an overall average return of 1.50%, in the long position, providing a premium of 0.11% over the SP500’s return of 1.39%. With regards to the short position, the package had an overall average return of 3.37%, providing investors with a premium of 1.98% over S&P500’s return of 1.39%. The I Know First’s Stock Market Algorithm accurately forecasted 7 out of 10 stocks, for the long position, and 10 out of 10 stocks, for the short position for this 14 Days forecasted period.

Commodity Futures Forecast Based on Big Data: Returns up to 10.92% in 1 Month

During the 1 Month 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 ICE_B1, at 10.92%. Further notable returns came from CME_RB1 and CME_CL1 at 10.71% and 10.45%, respectively. The package had an overall average return of 3.11% during the period.

Commodities Prediction Based on Deep-Learning: Returns up to 11.60% in 1 Month

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. CME_CL1 was the highest-earning trade with a return of 11.60% in 1 Month. Additional high returns came from CME_WS1 and ICE_B1, at 11.60% and 11.16% respectively. The package had an overall average return of 2.88% during the period.

Commodities Outlook Based on Deep Learning: Returns up to 11.00% in 1 Month

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 11.00%. CME_WS1 and CME_CL1 followed with returns of 10.54% and 9.54% for the 1 Month period. The package had an overall average return of 2.76% during the period.

Commodities Price Prediction Based on Deep Learning: Returns up to 10.91% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 10.91%. CME_CL1 and SHFE_RB2 saw outstanding returns of 9.54% and 9.46%. The package had an overall average return of 3.17% during the period.

Commodity Price Outlook Based on Pattern Recognition: Returns up to 8.18% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from CME_RB1, at 8.18%. The suggested trades for SHFE_RB2 and CME_CL1 also had notable 14 Days yields of 7.20% and 4.15%, respectively. The package had an overall average return of 1.90% during the period.

Commodity Prediction Based on Big Data: Returns up to 4.56% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was CME_RB1, which registered a return of 4.56%. Other notable stocks were CME_CL1 and CME_WS1 with a return of 2.83% and 2.60%. The package had an overall average return of 1.10% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 11.55% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from CME_RB1, at 11.55%. The suggested trades for CME_CL1 and CME_WS1 also had notable 1 Month yields of 9.36% and 9.36%, respectively. The package had an overall average return of 4.05% during the period.