Commodity ETFs Prediction Based on Machine Learning: Returns up to 6.78% 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 prediction with the highest return was PALL, at 6.78%. Further notable returns came from GDX and GRU at 5.39% and 4.10%, respectively. The package had an overall average return of 2.47% during the period.

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 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.

Commodity Market Predictions Based on Artificial Intelligence: Returns up to 5.96% in 3 Days

During the 3 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 PALL, at 5.96%. Further notable returns came from ^JPLAT and GDX at 5.64% and 3.87%, respectively. Finally, positive returns resulted from positions on ICE_SB1 and XME gaining 2.82% and 1.43%, respectively, over the same forecast horizon.  The package had an overall average return of 1.98% 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.

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 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 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.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 15.52% in 3 Months

8 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 15.52%. PALL and ^CEX followed with returns of 9.24% and 7.85% for the 3 Months period. The package had an overall average return of 4.90% during the period.

Commodity Price Prediction Based on AI: Returns up to 12.99% 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 prediction with the highest return was ^JPLAT, at 12.99%. Further notable returns came from Zinc and CME_RB1 at 7.29% and 6.89%, respectively. The package had an overall average return of 3.76% during the period.

Commodity Market Review: OPEC Relieves Fears Of A Crude Oil Oversupply

Summary: Crude Oil Futures (CME_CL1) are on the up with a 3.05% rise. The risks of a crude oil oversupply are less likely. Platinum Continues to See A Remarkable Rise. VanEck Vectors Gold Miners ETF (GDX) sees a 10.83% increase. Crude Oil Futures (CME_CL1) are on the up with a 3.05% rise over the past […]

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.47% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from ^JPLAT at 5.47%. CME_CL1 and ^APAPR.T also performed well for this time horizon with returns of 3.05% and 2.01%, respectively. The package had an overall average return of 1.41% during the period.

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