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 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.

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 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 Algorithm: Returns up to 2.56% in 3 Days

In this 3 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 KOL, which registered a return of 2.56%. The suggested trades for ICE_CT1 and PALL also had notable 3 Days yields of 0.88% and 0.71%, respectively. The package had an overall average return of 0.35% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 206.1% in 1 Year

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 206.1% in 1 Year. PALL, and Nickel had notable returns of 57.69% and 24.78%. The package had an overall average return of 27.5% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 17.58% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. ^JPLAT was the top performing prediction with a return of 17.58%. Additional high returns came from ICE_KC1 and Coffee, at 9.4% and 8.95% respectively. The package had an overall average return of 5.12% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 12.96% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. ICE_KC1 was the top performing prediction with a return of 12.96%. Other notable stocks were Coffee and ICE_B1 with a return of 11.57% and 6.72%. The package had an overall average return of 4.34% during the period.

Commodity Price Forecast Based on Artificial Intelligence: Returns up to 8.67% 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 top performing prediction from this package was ^XNG with a return of 8.67%. Other notable stocks were ICE_B1 and CME_CL1 with a return of 2.02% and 1.91%. The package had an overall average return of 1.74% during the period.

Commodity Price Forecast Based on Pattern Recognition: Returns up to 9.9% in 14 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 9.9%. The suggested trades for ICE_KC1 and Coffee also had notable 14 Days yields of 9.2% and 4.91%, respectively. The package had an overall average return of 4.47% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 217.4% in 1 Year

For this 1 Year forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 217.4%. The suggested trades for PALL and GDX also had notable 1 Year yields of 47.19% and 33.19%, respectively. The package had an overall average return of 19.62% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 7.07% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The greatest return came from ^XNG at 7.07%. Other notable stocks were ^JPLAT and ICE_KC1 with a return of 5.41% and 2.12%. The package had an overall average return of 2.11% during the period.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 11.77% in 14 Days

his 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top performing prediction from this package was ICE_KC1 with a return of 11.77%. Coffee and PALL also performed well for this time horizon with returns of 9.59% and 5.21%, respectively. The package had an overall average return of 4.07% during the period.