Commodity Price Forecast Based on AI: Returns up to 3.9% 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. CME_RB1 was the top performing prediction with a return of 3.9%. Further notable returns came from WOOD and PHAU.MI at 2.97% and 2.1%, respectively. The package had an overall average return of 1.34% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 3.9% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The prediction with the highest return was CME_RB1, at 3.9%. WOOD and PHAU.MI saw outstanding returns of 2.97% and 1.99%. The package had an overall average return of 1.33% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 3.69% in 3 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The top performing prediction from this package was CME_RB1 with a return of 3.69%. Other notable stocks were ICE_CC1 and ICE_SB1 with a return of 3.03% and 1.61%. The package had an overall average return of 1.51% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 3.28% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 8 out of 10 movements. ICE_SB1 was the top performing prediction with a return of 3.28%. KOL and ^CEX saw outstanding returns of 1.87% and 1.47%. The package had an overall average return of 1.02% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 4.76% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was ICE_SB1, at 4.76%. WOOD and ^CEX saw outstanding returns of 3.47% and 1.56%. The package had an overall average return of 1.03% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 6.07% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ICE_CC1 was our best stock pick this week a return of 6.07%. ^CEX and IYM saw outstanding returns of 2.27% and 1.95%. The package had an overall average return of 0.94% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 159.82% in 1 Year

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 ETFs Based on Big Data Analytics: Returns up to 68.24% in 1 Year

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The greatest return came from PALL at 68.24%. GDX, and SLV had notable returns of 33.66% and 10.72%. The package had an overall average return of 7.0% during the period.

Best Commodity ETFs Based on Algorithmic Trading: Returns up to 63.77% in 1 Year

During the 1 Year 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 PALL with a return of 63.77%. GDX and SLV saw outstanding returns of 37.3% and 14.59%. The package had an overall average return of 7.2% during the period.

Best Commodity ETFs Based on a Self-learning Algorithm: Returns up to 80.92% in 1 Year

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Year time period. The highest trade return came from PALL, at 80.92%. Additional high returns came from GDX and SLV, at 42.54% and 17.76% respectively. The package had an overall average return of 11.27% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 42.7% in 3 Months

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. PALL was our best stock pick this week a return of 42.7%. The suggested trades for ^JPLAT and WOOD also had notable 3 Months yields of 29.68% and 6.71%, respectively. The package had an overall average return of 8.02% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 33.73% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 3 Months time period. PALL was the top performing prediction with a return of 33.73%. Further notable returns came from ^JPLAT and ICE_CT1 at 29.92% and 9.35%, respectively. The package had an overall average return of 6.51% during the period.

Best Commodity ETFs Based on a Self-learning Algorithm: Returns up to 77.72% in 1 Year

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The greatest return came from PALL at 77.72%. Other notable stocks were SLV and Nickel with a return of 17.05% and 17.0%. The package had an overall average return of 9.71% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 42.44% in 3 Months

In this 3 Months forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. ^JPLAT was the highest-earning trade with a return of 42.44% in 3 Months. PALL, and ICE_CT1 had notable returns of 39.78% and 9.35%. The package had an overall average return of 9.28% during the period.

Commodity Price Forecast Based on Predictive Analytics: Returns up to 6.08% in 3 Days

In this 3 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 PALL, at 6.08%. Other notable stocks were Cocoa and ICE_CC1 with a return of 3.13% and 3.13%. The package had an overall average return of 1.43% during the period.

Commodity ETFs Based on Genetic Algorithms: Returns up to 75.31% in 1 Year

During the 1 Year forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. PALL was the top performing prediction with a return of 75.31%. ^CEX and Nickel saw outstanding returns of 16.76% and 16.71%. The package had an overall average return of 10.6% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 41.11% in 3 Months

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. The greatest return came from ^JPLAT at 41.11%. PALL and WOOD saw outstanding returns of 38.56% and 9.78%. The package had an overall average return of 10.02% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 206.64% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ^JPLAT was the top performing prediction with a return of 206.64%. PALL, and Nickel had notable returns of 68.77% and 24.33%. The package had an overall average return of 24.67% during the period.