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 Price Forecast Based on Predictive Analytics: Returns up to 16.55% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. PALL was the highest-earning trade with a return of 16.55% in 7 Days. PPLT and ICE_SB1 also performed well for this time horizon with returns of 4.36% and 2.7%, respectively. The package had an overall average return of 2.61% 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 Data Mining: Returns up to 16.55% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was PALL, which registered a return of 16.55%. PPLT, and ICE_SB1 had notable returns of 4.36% and 2.7%. The package had an overall average return of 2.55% during the period.

Commodity Outlook Based on Predictive Analytics: Returns up to 9.88% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 3 Days time period. The top performing prediction from this package was PALL with a return of 9.88%. ICE_CC1, and Cocoa had notable returns of 4.75% and 4.75%. The package had an overall average return of 1.98% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 35.61% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ^JPLAT was our best stock pick this week a return of 35.61%. Further notable returns came from PALL and WOOD at 31.11% and 10.37%, respectively. The package had an overall average return of 6.95% 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.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.32% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from PALL, at 6.32%. PPLT and Cocoa also performed well for this time horizon with returns of 4.28% and 3.86%, respectively. The package had an overall average return of 1.77% during the period.

Commodity ETFs Based on Pattern Recognition: Returns up to 63.2% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The top-performing prediction in this forecast was PALL, which registered a return of 63.2%. The suggested trades for GDX and Nickel also had notable 1 Year yields of 34.06% and 19.62%, respectively. The package had an overall average return of 17.33% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 32.54% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 32.54%. PALL and Copper followed with returns of 27.05% and 9.28% for the 3 Months period. The package had an overall average return of 6.22% during the period.

Best Commodity ETFs Based on Machine Learning: Returns up to 60.07% in 1 Year

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was PALL, at 60.07%. GDX, and Nickel had notable returns of 31.74% and 21.58%. The package had an overall average return of 16.94% during the period.

Commodity Futures Based on Big Data: Returns up to 21.51% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from SHFE_RU1 at 21.51%. ICE_SB1 and SHFE_RB5 also performed well for this time horizon with returns of 13.38% and 9.07%, respectively. The package had an overall average return of 6.74% 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.