Commodity Futures Based on Big Data: Returns up to 7.81% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The top performing prediction from this package was CME_NG1 with a return of 7.81%. CME_LC1 and CME_WS1 followed with returns of 6.2% and 1.88% for the 14 Days period. The package had an overall average return of 1.32% during the period.

Commodity Futures Based on Big Data: Returns up to 7.05% in 14 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. The greatest return came from CME_LC1 at 7.05%. ICE_KC1 and CME_O1 followed with returns of 6.59% and 3.22% for the 14 Days period. The package had an overall average return of 1.26% during the period.

Commodity Futures Based on Big Data: Returns up to 10.2% in 7 Days

In this 7 Days 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 CME_NG1, which registered a return of 10.2%. Additional high returns came from ICE_KC1 and CME_WS1, at 6.92% and 3.04% respectively. The package had an overall average return of 2.84% during the period.

Commodity Futures Based on Big Data: Returns up to 15.33% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. CME_NG1 was the top performing prediction with a return of 15.33%. The suggested trades for CME_LC1 and ICE_KC1 also had notable 7 Days yields of 6.38% and 3.13%, respectively. The package had an overall average return of 2.8% during the period.

Commodity Futures Based on Big Data: Returns up to 10.96% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The top performing prediction from this package was CME_NG1 with a return of 10.96%. Additional high returns came from ICE_KC1 and SHFE_RB5, at 3.48% and 0.94% respectively. The package had an overall average return of 1.1% during the period.

Commodity Outlook Based on Big Data: Returns up to 44.65% in 3 Months

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 44.65%. XAG, and Nickel had notable returns of 23.96% and 15.41%. The package had an overall average return of 9.66% during the period.

Commodity Futures Based on Deep Learning: Returns up to 4.0% in 3 Days

Commodity Futures This Commodity Futures Package is designed for investors who need commodity recommendations 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 the short […]

Commodity Futures Based on Big Data: Returns up to 10.67% 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 ICE_SB1 at 10.67%. CME_S1 and CME_LC1 also performed well for this time horizon with returns of 3.77% and 2.21%, respectively. The package had an overall average return of 1.18% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 28.3% in 3 Months

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. ^JPLAT was the highest-earning trade with a return of 28.3% in 3 Months. GDX, and PALL had notable returns of 15.67% and 9.92%. The package had an overall average return of 4.01% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 31.8% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. XAG was the highest-earning trade with a return of 31.8% in 1 Month. Additional high returns came from Nickel and SLV, at 23.18% and 16.62% respectively. The package had an overall average return of 7.23% during the period.

Commodity Price Forecast Based on Stock Algorithm: Returns up to 26.46% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. The top-performing prediction in this forecast was XAG, which registered a return of 26.46%. Other notable stocks were Nickel and ^JPLAT with a return of 23.21% and 15.11%. The package had an overall average return of 7.1% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 3.03% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The highest trade return came from XAU, at 3.03%. GDX and Nickel also performed well for this time horizon with returns of 2.94% and 2.48%, respectively. The package had an overall average return of 0.19% during the period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 2.69% 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 from this package was GDX with a return of 2.69%. The suggested trades for ICE_B1 and Nickel also had notable 3 Days yields of 2.3% and 2.0%, respectively. The package had an overall average return of 0.54% during the period.

Commodities Market Review: Oil and China’s Steel Rebar Price Surge

Summary: Gasoline (CME_RB1) has seen a price increase of 12.01% over the past month Shanghai Steel Rebar Futures (SHFE_RB2) are up on the rise with a 8.43% increase Brent Crude Futures (ICE_B1) are up on the rise with a 7.72% increase Ending Sanctions Led to Surge in Oil Prices Gasoline (CME_RB1) are up on the […]

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 Stock Prediction Algorithm: Returns up to 8.65% 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 CME_O1 at 8.65%. SHFE_RB5 and SHFE_RB3 also performed well for this time horizon with returns of 1.13% and 0.81%, respectively. The package had an overall average return of 0.31% during the 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.