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.

Commodity Outlook Based on AI: Returns up to 16.71% 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 from this package was Coffee with a return of 16.71%. ^JPLAT and ICE_KC1 also performed well for this time horizon with returns of 15.69% and 9.19%, respectively. The package had an overall average return of 6.04% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 15.69% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. ^JPLAT was the top performing prediction with a return of 15.69%. Further notable returns came from Coffee and ICE_KC1 at 9.95% and 9.19%, respectively. The package had an overall average return of 4.97% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.26% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The highest trade return came from Coffee, at 9.26%. ICE_SB1 and ICE_KC1 saw outstanding returns of 4.94% and 4.77%. The package had an overall average return of 1.96% during the period.