Commodity Futures Based on Big Data Analytics: Returns up to 3.52% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_WS1 was our best stock pick this week a return of 3.52%. CME_CL1 and CME_RB1 also performed well for this time horizon with returns of 3.32% and 2.22%, respectively. The package had an overall average return of 1.56% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 16.99% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from PALL at 16.99%. Other notable stocks were PHAU.MI and ICE_SB1 with a return of 5.62% and 4.49%. The package had an overall average return of 3.31% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 11.04% in 14 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The prediction with the highest return was PALL, at 11.04%. Cocoa and ICE_SB1 also performed well for this time horizon with returns of 4.95% and 3.88%, respectively. The package had an overall average return of 2.98% during the period.

Commodity Price Forecast Based on AI: Returns up to 3.9% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. CME_RB1 was the top performing prediction with a return of 3.9%. Further notable returns came from WOOD and PHAU.MI at 2.97% and 2.1%, respectively. The package had an overall average return of 1.34% during the period.

Commodity Price Forecast Based on Genetic Algorithms: Returns up to 6.76% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The highest trade return came from PALL, at 6.76%. The suggested trades for Cocoa and ICE_CC1 also had notable 14 Days yields of 5.62% and 4.57%, respectively. The package had an overall average return of 2.28% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 5.68% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top-performing prediction in this forecast was PALL, which registered a return of 5.68%. Cocoa and ICE_OJ1 saw outstanding returns of 4.72% and 3.88%. The package had an overall average return of 1.98% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 3.9% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. The prediction with the highest return was CME_RB1, at 3.9%. WOOD and PHAU.MI saw outstanding returns of 2.97% and 1.99%. The package had an overall average return of 1.33% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 3.69% in 3 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The top performing prediction from this package was CME_RB1 with a return of 3.69%. Other notable stocks were ICE_CC1 and ICE_SB1 with a return of 3.03% and 1.61%. The package had an overall average return of 1.51% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 3.28% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 8 out of 10 movements. ICE_SB1 was the top performing prediction with a return of 3.28%. KOL and ^CEX saw outstanding returns of 1.87% and 1.47%. The package had an overall average return of 1.02% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 4.76% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was ICE_SB1, at 4.76%. WOOD and ^CEX saw outstanding returns of 3.47% and 1.56%. The package had an overall average return of 1.03% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 7.54% in 7 Days

Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. ICE_CC1 was our best stock pick this week a return of 7.54%. ICE_OJ1 and NLR saw outstanding returns of 3.81% and 1.1%. The package had an overall average return of 1.07% during the period.

Commodity Outlook Based on Big Data Analytics: Returns up to 6.07% 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. ICE_CC1 was our best stock pick this week a return of 6.07%. ^CEX and IYM saw outstanding returns of 2.27% and 1.95%. The package had an overall average return of 0.94% during the period.

Commodity Futures Based on Data Mining: Returns up to 8.21% in 7 Days

10 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. ICE_B1 saw monumental price change of 8.21% in just 7 Days. ICE_KC1, and CME_WS1 also had excellent performances with returns of 8.16% and 5.7% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Outlook Based on Algo Trading: Returns up to 159.82% in 1 Year

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 Analytics: Returns up to 68.24% in 1 Year

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The greatest return came from PALL at 68.24%. GDX, and SLV had notable returns of 33.66% and 10.72%. The package had an overall average return of 7.0% during the period.

Best Commodity ETFs Based on Algorithmic Trading: Returns up to 63.77% in 1 Year

During the 1 Year forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The top performing prediction from this package was PALL with a return of 63.77%. GDX and SLV saw outstanding returns of 37.3% and 14.59%. The package had an overall average return of 7.2% during the period.

Best Commodity ETFs Based on a Self-learning Algorithm: Returns up to 80.92% in 1 Year

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 1 Year time period. The highest trade return came from PALL, at 80.92%. Additional high returns came from GDX and SLV, at 42.54% and 17.76% respectively. The package had an overall average return of 11.27% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 41.45% in 3 Months

For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. PALL was the top performing prediction with a return of 41.45%. Additional high returns came from ^JPLAT and WOOD, at 28.23% and 5.64% respectively. The package had an overall average return of 5.76% during the period.