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 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 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 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 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 5.13% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The top performing prediction from this package was Zinc with a return of 5.13%. WOOD and XME followed with returns of 5.07% and 4.83% for the 14 Days period. The package had an overall average return of 2.0% during the period.

Commodity Price Forecast Based on AI: Returns up to 5.07% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from WOOD at 5.07%. Additional high returns came from XME and ^JPLAT, at 4.83% and 4.7% respectively. The package had an overall average return of 1.79% during the period.

Commodity Outlook Based on Big Data: Returns up to 5.15% in 7 Days

In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. XME was the top performing prediction with a return of 5.15%. Zinc, and DBB had notable returns of 3.0% and 2.11%. The package had an overall average return of 1.52% during the period.

Commodity Price Forecast Based on AI: Returns up to 3.68% in 3 Days

Commodity Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Price Forecast 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 […]

Commodity Outlook Based on Machine Learning: Returns up to 4.72% in 3 Days

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 Outlook Based on Deep Learning: Returns up to 5.96% in 3 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was the highest-earning trade with a return of 5.96% in 3 Days. Further notable returns came from NaturalGas and ^XNG at 5.18% and 4.76%, respectively. The package had an overall average return of 1.9% during the period.

Commodity ETFs Based on Stock Prediction Algorithm: Returns up to 7.41% in 3 days

Commodity ETFs This Commodity ETFs Package is designed for investors who need commodity recommendations to find the best performing commodity ETFs in the industry. It includes 20 commodity ETFs with bullish or bearish signals indicating which are best to buy: Top 10 commodity ETFs for the long position Top 10 commodity ETFs for the short […]

Commodities ETFs Outlook Based on Pattern Recognition: Returns up to 7.54% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was USO, which registered a return of 7.54%. Other notable stocks were PPLT and GSP with a return of 5.02% and 4.16%. The package had an overall average return of 1.93% during the period.

Commodity Price Outlook Based on Genetic Algorithms: Returns up to 6.91% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was Cocoa, at 6.91%. Further notable returns came from ICE_CC1 and CME_CL1 at 6.91% and 6.37%, respectively. The package had an overall average return of 3.86% during the period.

Commodities Price Forecast Based on Big Data Analytics: Returns up to 7.52% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The prediction with the highest return was USO, at 7.52%. Further notable returns came from PPLT and Zinc at 6.20% and 4.43%, respectively. The package had an overall average return of 1.35% during the period.

Commodity Outlook Based on Big Data: Returns up to 18.36% 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 greatest return came from CME_RB1 at 18.36%. Zinc and ICE_B1 also performed well for this time horizon with returns of 8.75% and 4.07%, respectively. The package had an overall average return of 2.03% during the period.

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