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 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 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.

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 Deep Learning: Returns up to 36.82% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 8 out of 10 movements. The greatest return came from ^JPLAT at 36.82%. Additional high returns came from PALL and WOOD, at 25.83% and 16.07% respectively. The package had an overall average return of 7.69% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 41.25% 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 41.25%. PALL and WOOD also performed well for this time horizon with returns of 26.26% and 14.89%, respectively. The package had an overall average return of 9.21% during the period.

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 44.7% 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. ^JPLAT was the highest-earning trade with a return of 44.7% in 3 Months. ICE_KC1, and PALL had notable returns of 25.41% and 17.76%. The package had an overall average return of 9.63% during the period.

Commodity ETFs Based on Pattern Recognition: Returns up to 53.94% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The prediction with the highest return was PALL, at 53.94%. GDX and Nickel also performed well for this time horizon with returns of 38.83% and 31.36%, respectively. The package had an overall average return of 21.98% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 3.09% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 9 out of 10 movements. ICE_B1 was the highest-earning trade with a return of 3.09% in 7 Days. Other notable stocks were XME and ICE_CT1 with a return of 1.49% and 1.39%. The package had an overall average return of 0.25% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 203.26% in 1 Year

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. ^JPLAT was the highest-earning trade with a return of 203.26% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 45.0% and 31.25%, respectively. The package had an overall average return of 20.82% during the period.

Commodity Price Forecast Based on AI: Returns up to 24.62% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The top-performing prediction in this forecast was Coffee, which registered a return of 24.62%. Additional high returns came from ICE_KC1 and ^JPLAT, at 19.81% and 16.87% respectively. The package had an overall average return of 6.13% during the period.

Commodity Price Forecast Based on AI: Returns up to 18.12% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from ICE_KC1, at 18.12%. Coffee, and ^JPLAT had notable returns of 13.05% and 12.66%. The package had an overall average return of 2.35% during the period.

Commodity Outlook Based on AI: Returns up to 16.83% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. ICE_KC1 was our best stock pick this week a return of 16.83%. Coffee and ^JPLAT saw outstanding returns of 15.42% and 13.13%. The package had an overall average return of 2.08% during the period.

Commodity Outlook Based on Big Data: Returns up to 16.03% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was Coffee, at 16.03%. ^JPLAT and XME also performed well for this time horizon with returns of 8.51% and 5.78%, respectively. The package had an overall average return of 1.8% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 16.03% in 1 Month

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: Returns up to 58.38% in 1 Year

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Year time period. The top performing prediction from this package was PALL with a return of 58.38%. GDX, and PHAU.MI had notable returns of 38.42% and 22.15%. The package had an overall average return of 12.82% during the period.