Commodity ETFs Forecast Based on Big Data: Returns up to 6.94% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. FCG was the highest-earning trade with a return of 6.94% in 1 Month. Additional high returns came from PALL and SOYB, at 6.60% and 6.04% respectively. The package had an overall average return of 2.65% during the period.

Commodity Market Review : Wheat Futures Peaked Amid Wet Weather Concerns

Summary: Rallying oil prices drives demand for natural rubber Heavy rain threatens wheat production Wheat Futures Peaked Wheat prices are higher in multiple markets, with short-covering gaining momentum from slow spring wheat planting and potential damage to some of the crops in key production regions as it heads toward maturity. Short-covering are also supportive to […]

Commodity ETFs Forecast Based on Stock Market Algorithm: Returns up to 7.63% in 1 Month

7 out of 10 top commodities picks from the algorithm decreased as predicted for this long-term forecasting period. PALL saw monumental growth of 7.63% in just 1 Month. SOYB, and FCG also had excellent performances with returns of 7.32% and 6.54% respectively.

Commodities Price Outlook Based on Deep-Learning: Returns up to 5.86% in 3 Days

6 out of 10 commodities in this forecast moved as predicted by the algorithm. CME_W1 was our best stock pick this week a return of 5.86%. CME_W5 and SHFE_RU1 followed with returns of 3.97% and 3.96% for the 3 Days period. The package had an overall average return of 0.67% during the period.

Commodity ETFs Prediction Based on Stock Algorithm: Returns up to 4.23% in 14 Days

6 out of 10 top commodity ETF picks from the algorithm decreased as predicted for this short-term forecasting period. XME saw monumental growth of 4.23% in just 14 Days. PPLT, and PALL also had excellent performances with returns of 3.74% and 3.15% respectively.

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.

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 ETFs Prediction Based on Stock Algorithm: Returns up to 10.59% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Zinc was our best stock pick this week a return of 10.59%. ^CEX and Nickel followed with returns of 9.68% and 5.41% for the 3 Months period. The package had an overall average return of 2.87% 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.

Commodities Price Forecast Based on Stock Algorithm: Returns up to 47.34% in 3 Months

During the 3 Months 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 ^JPLAT, at 47.34%. Further notable returns came from ^CEX and Uranium at 8.27% and 8.16%, respectively. The package had an overall average return of 2.58% 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.

Pages:1234567...82»