Commodity Outlook Based on AI: Returns up to 10.44% 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 prediction with the highest return was ^JPLAT, at 10.44%. XME, and ICE_SB1 had notable returns of 5.04% and 4.56%. The package had an overall average return of 1.45% during the period.

Commodity Futures Based on AI: Returns up to 3.03% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 8 out of 10 movements. SHFE_RB2 was the top performing prediction with a return of 3.03%. SHFE_RB3 and CME_WS1 also performed well for this time horizon with returns of 2.21% and 1.67%, respectively. The package had an overall average return of 0.99% during the period.

Commodity Futures Based on Big Data: Returns up to 4.82% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. SHFE_RB5 was the highest-earning trade with a return of 4.82% in 14 Days. The suggested trades for CME_CL1 and CME_WS1 also had notable 14 Days yields of 2.71% and 2.71%, respectively. The package had an overall average return of 1.25% during the period.

Commodity Futures Based on Data Mining: Returns up to 5.05% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The prediction with the highest return was ICE_CC1, at 5.05%. SHFE_RB3 and SHFE_RB5 followed with returns of 3.7% and 3.48% for the 3 Days period. The package had an overall average return of 2.29% during the period.

Commodity Outlook Based on AI: Returns up to 8.96% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ^JPLAT, at 8.96%. Additional high returns came from WOOD and IYM, at 8.16% and 6.09% respectively. The package had an overall average return of 3.73% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.89% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 4.89%. Additional high returns came from IYM and Coffee, at 4.47% and 4.29% respectively. The package had an overall average return of 1.34% during the period.

Commodity Futures Based on AI: Returns up to 12.64% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. ICE_KC1 was our best stock pick this week a return of 12.64%. Other notable stocks were SHFE_RU1 and CME_S1 with a return of 6.49% and 5.14%. The package had an overall average return of 2.01% during the period.

Commodity Futures Based on Big Data: Returns up to 7.81% 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 top performing prediction from this package was CME_NG1 with a return of 7.81%. CME_LC1 and CME_WS1 followed with returns of 6.2% and 1.88% for the 14 Days period. The package had an overall average return of 1.32% during the period.

Commodity Futures Based on Big Data: Returns up to 7.05% in 14 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. The greatest return came from CME_LC1 at 7.05%. ICE_KC1 and CME_O1 followed with returns of 6.59% and 3.22% for the 14 Days period. The package had an overall average return of 1.26% during the period.

Commodity Futures Based on AI: Returns up to 4.9% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top performing prediction from this package was ICE_KC1 with a return of 4.9%. CME_NG1 and SHFE_RB2 followed with returns of 2.14% and 2.06% for the 3 Days period. The package had an overall average return of 1.32% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.5% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The top performing prediction from this package was XME with a return of 4.5%. Other notable stocks were ^JPLAT and WOOD with a return of 4.15% and 3.68%. The package had an overall average return of 1.64% during the period.

Commodity Outlook Based on Big Data: Returns up to 13.2% in 1 Month

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from WOOD at 13.2%. Additional high returns came from XME and Zinc, at 9.55% and 9.24% respectively. The package had an overall average return of 4.25% during the period.

Commodity Price Forecast Based on AI: Returns up to 44.24% 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. The greatest return came from ^JPLAT at 44.24%. PALL and XAG also performed well for this time horizon with returns of 24.97% and 17.26%, respectively. The package had an overall average return of 9.86% during the period.

Commodity Outlook Based on Big Data: Returns up to 5.24% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. ICE_KC1 was the highest-earning trade with a return of 5.24% in 7 Days. Other notable stocks were Coffee and CME_NG1 with a return of 5.22% and 2.76%. The package had an overall average return of 2.16% during the period.

Commodity Futures Based on Big Data: Returns up to 10.2% in 7 Days

In this 7 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 CME_NG1, which registered a return of 10.2%. Additional high returns came from ICE_KC1 and CME_WS1, at 6.92% and 3.04% respectively. The package had an overall average return of 2.84% during the period.

Commodity Futures Based on Algo Trading: Returns up to 5.45% 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 prediction with the highest return was CME_NG1, at 5.45%. SHFE_RB2 and ICE_SB1 followed with returns of 2.06% and 1.84% for the 3 Days period. The package had an overall average return of 1.66% during the period.

Commodity Price Forecast Based on AI: Returns up to 9.2% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The prediction with the highest return was Coffee, at 9.2%. ^APAPR.T, and WOOD had notable returns of 4.75% and 4.25%. The package had an overall average return of 2.77% during the period.

Commodity Price Forecast Based on AI: Returns up to 12.88% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The top performing prediction from this package was WOOD with a return of 12.88%. Further notable returns came from ^JPLAT and Zinc at 10.73% and 10.37%, respectively. The package had an overall average return of 4.11% during the period.