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.

Commodities Prediction Based on Predictive Analytics : Returns up to 5.91% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_WS1 at 5.91%. CME_CL1 and ICE_CT1 also performed well for this time horizon with returns of 5.91% and 2.78%, respectively. The package had an overall average return of 1.91% during the period.

Commodity Market Review: Gasoline futures rose up to 26.57% over the past month.

Summary: Gasoline Futures (CME_RB1) had a remarkable return over the past month. Platinum (^JPLAT) rose 19.33% over the past month. Zinc price is up due to low inventories. Gasoline Futures Gasoline Futures (CME_RB1) sees a remarkable return of 26.57% over the past month in line with I Know First forecast. The gasoline futures have risen for […]

Commodities Prediction Based on Artificial Intelligence: Returns up to 11.01% 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 ^JPLAT, which registered a return of 11.01%. Other notable stocks were CME_CL1 and CME_RB1 with a return of 4.47% and 4.41%. The package had an overall average return of 1.98% during the period.

Commodities Forecast Based on Data Mining: Returns up to 26.57% 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 26.57%. ^JPLAT and CME_CL1 also performed well for this time horizon with returns of 19.33% and 8.04%, respectively. The package had an overall average return of 4.36% during the period.

Commodity Price Prediction Based on Algo Trading: Returns up to 4.32% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 4.32%. ICE_CT1 and ^JPLAT saw outstanding returns of 2.95% and 2.05%. The package had an overall average return of 1.49% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.15% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 9.15%. CME_RB1 and ^APAPR.T followed with returns of 7.10% and 6.85% for the 14 Days period. The package had an overall average return of 2.79% during the period.

Commodities Price Outlook Based on AI: Returns up to 3.87% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 3.87%. ^APAPR.T and ICE_CT1 saw outstanding returns of 3.72% and 3.27%. The package had an overall average return of 1.02% during the period.

Commodities Forecast Based on Pattern Recognition: Returns up to 20.16% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_RB1, at 20.16%. The suggested trades for ^JPLAT and PALL also had notable 1 Month yields of 18.73% and 6.95%, respectively. The package had an overall average return of 4.47% during the period.

Commodity Price Prediction Based on AI: Returns up to 12.99% 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 prediction with the highest return was ^JPLAT, at 12.99%. Further notable returns came from Zinc and CME_RB1 at 7.29% and 6.89%, respectively. The package had an overall average return of 3.76% during the period.

Commodities Outlook Based on Data Mining: Returns up to 10.16% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 10.16%. CME_RB1, and ICE_OJ1 had notable returns of 4.13% and 3.96%. The package had an overall average return of 2.27% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 5.72% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 5.72%. CME_RB1 and CME_CL1 saw outstanding returns of 3.37% and 2.49%. The package had an overall average return of 2.18% during the period.

Commodity Price Outlook Based on Machine Learning: Returns up to 5.72% in 3 Days

ring the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The prediction with the highest return was ^JPLAT, at 5.72%. Further notable returns came from CME_RB1 and ICE_OJ1 at 3.17% and 2.86%, respectively. The package had an overall average return of 2.05% during the period.

Commodities Outlook Based on Artificial Intelligence: Returns up to 5.57% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was CME_RB1 with a return of 5.57%. ICE_OJ1, and CME_CL1 had notable returns of 5.27% and 5.20%. The package had an overall average return of 2.50% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 22.56% in 1 Month

In this 1 Month 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 CME_RB1, which registered a return of 22.56%. Other notable stocks were ^JPLAT and PALL with a return of 21.98% and 7.73%. The package had an overall average return of 5.94% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 12.86% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 12.86%. CME_RB1 and PALL followed with returns of 8.44% and 6.25% for the 14 Days period. The package had an overall average return of 3.74% during the period.

Commodities Prediction Based on Data Mining: Returns up to 23.35% 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 prediction with the highest return was ^JPLAT, at 23.35%. Further notable returns came from CME_RB1 and PALL at 20.36% and 10.84%, respectively. The package had an overall average return of 6.56% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 9.89% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 9.89%. PALL, and CME_CL1 had notable returns of 4.62% and 3.94%. The package had an overall average return of 2.59% during the period.

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