Commodity Outlook Based on AI: Returns up to 9.91% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The greatest return came from Nickel at 9.91%. Other notable stocks were XAU and XAG with a return of 4.53% and 4.04%. The package had an overall average return of 2.88% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 11.82% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The top-performing prediction in this forecast was Nickel, which registered a return of 11.82%. XAU and SLV followed with returns of 5.81% and 5.46% for the 14 Days period. The package had an overall average return of 3.8% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 6.63% 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 highest trade return came from Nickel, at 6.63%. XAG and SLV followed with returns of 4.62% and 4.55% for the 7 Days period. The package had an overall average return of 2.41% during the period.

Commodity Price Forecast Based on a Self-learning Algorithm: Returns up to 6.84% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The highest trade return came from Nickel, at 6.84%. CME_BO1 and SLV also performed well for this time horizon with returns of 5.08% and 3.52%, respectively. The package had an overall average return of 2.95% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 8.45% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 8.45%. Additional high returns came from XAU and XAG, at 5.63% and 5.21% respectively. The package had an overall average return of 3.2% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 6.3% 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 highest trade return came from CME_BO1, at 6.3%. Nickel and SLV saw outstanding returns of 4.29% and 3.65%. The package had an overall average return of 3.09% during the period.

Commodity Outlook Based on Machine Learning: Returns up to 7.33% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 7.33%. GDX and XAU also performed well for this time horizon with returns of 5.73% and 4.63%, respectively. The package had an overall average return of 2.87% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 12.20% in 1 Month

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

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 5.97% in 14 Days

Commodity Forecast This Commodity ETFs Package is designed for investors who need commodity recommendations to find the best performing commodity ETFs in the industry. It includes 20 commodity ETFs forecast with bullish or bearish signals indicating which are best to buy: Top 10 commodity ETFs for the long position Top 10 commodity ETFs for the […]

Commodity ETF Forecast Based on Machine Learning: Returns up to 8.66% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GDX, at 8.66%. The suggested trades for WEAT and GRU also had notable 14 Days yields of 5.24% and 4.63%, respectively. The package had an overall average return of 3.65% during the period.

Commodities ETFs Predictions Based on Artificial Intelligence: Returns up to 5.01% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from GRU, at 5.01%. The suggested trades for WEAT and GDX also had notable 7 Days yields of 3.87% and 2.01%, respectively. Finally, positive returns resulted from positions on IYM and MOO gaining 1.95% and 1.80%, respectively, over the same forecast horizon. The package had an overall average return of 2.05% during the period.

Commodities Market Forecast Based on Deep Learning: Returns up to 9.46% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from Coffee, at 9.46%. The suggested trades for CME_W1 and WEAT also had notable 7 Days yields of 9.41% and 8.51%, respectively. The yield for ICE_KC1 is noteworthy as well, coming in at 6.42%. The Commodities Package, all in all, an overall average return of 4.51% 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 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 Forecast Based on Data Mining: Returns up to 59.34% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Months time period. The greatest return came from ^JPLAT at 59.34%. PPLT and GDX also performed well for this time horizon with returns of 10.24% and 7.84%, respectively. The package had an overall average return of 8.23% during the period.

Commodities Forecast Based on Stock Prediction Algorithm: Returns up to 56.74% in 3 Months

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 56.74%. PALL, and GDX had notable returns of 11.06% and 4.85%. The package had an overall average return of 7.50% during the period.

Commodity ETFs Outlook Based on Deep Learning: Returns up to 19.49% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Zinc was the top performing prediction with a return of 19.49%. PALL and ^CEX saw outstanding returns of 11.06% and 10.98%. The package had an overall average return of 5.80% during the period.

Commodities Forecast Based on Pattern Recognition: Returns up to 48.98% in 3 Months

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 48.98%. PALL and ICE_SB1 followed with returns of 14.46% and 5.32% for the 3 Months period. The package had an overall average return of 6.86% during the period.