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 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 206.64% in 1 Year

In this 1 Year forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. ^JPLAT was the top performing prediction with a return of 206.64%. PALL, and Nickel had notable returns of 68.77% and 24.33%. The package had an overall average return of 24.67% 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 Deep Learning: Returns up to 214.01% in 1 Year

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 214.01% in 1 Year. Further notable returns came from PALL and GDX at 56.76% and 34.74%, respectively. The package had an overall average return of 29.93% during the period.

Commodity Price Forecast Based on Predictive Analytics: Returns up to 201.61% in 1 Year

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Year forecast. The prediction with the highest return was ^JPLAT, at 201.61%. Additional high returns came from PALL and GDX, at 54.3% and 38.5% respectively. The package had an overall average return of 33.34% during the period.

Commodity Price Forecast Based on Machine Learning: Returns up to 204.07% in 1 Year

Several predictions in this 1 Year forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 204.07%. Further notable returns came from PALL and GDX at 51.84% and 37.18%, respectively. The package had an overall average return of 33.19% during the period.

Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 200.09% in 1 Year

During the 1 Year 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 200.09%. Other notable stocks were PALL and GDX with a return of 53.94% and 38.83%. The package had an overall average return of 31.37% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 16.49% 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 ^JPLAT at 16.49%. ICE_KC1, and Coffee had notable returns of 12.91% and 11.89%. The package had an overall average return of 5.16% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 11.9% in 3 Months

During the 3 Months forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. SHFE_RU1 was our best stock pick this week a return of 11.9%. SHFE_RB5, and CME_S1 had notable returns of 5.99% and 4.65%. The package had an overall average return of 1.78% during the period.

Commodity Price Forecast Based on Algorithmic Trading: Returns up to 16.49% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the highest-earning trade with a return of 16.49% in 1 Month. Coffee and ICE_KC1 also performed well for this time horizon with returns of 11.89% and 9.34%, respectively. The package had an overall average return of 4.8% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 209.59% in 1 Year

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 209.59%. Other notable stocks were PALL and GDX with a return of 52.36% and 40.22%. The package had an overall average return of 22.94% during the period.

Commodity Futures Based on Deep Learning: Returns up to 13.32% in 3 Months

Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. SHFE_RU1 was the highest-earning trade with a return of 13.32% in 3 Months. Additional high returns came from SHFE_RB5 and SHFE_RB2, at 9.95% and 5.21% respectively. The package had an overall average return of 3.82% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 197.47% in 1 Year

During the 1 Year forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. ^JPLAT was the highest-earning trade with a return of 197.47% in 1 Year. PALL and GDX also performed well for this time horizon with returns of 51.93% and 35.86%, respectively. The package had an overall average return of 21.41% 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 Futures Based on AI: Returns up to 36.5% in 3 Months

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 36.5%. SHFE_RU1, and CME_S1 had notable returns of 14.59% and 3.92%. The package had an overall average return of 4.85% during the period.

Commodity Futures Based on Deep-Learning : Returns up to 6.51% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The highest trade return came from SHFE_RU1, at 6.51%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 5.58% and 5.58%, respectively. The package had an overall average return of 1.26% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 217.4% in 1 Year

For this 1 Year forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 217.4%. The suggested trades for PALL and GDX also had notable 1 Year yields of 47.19% and 33.19%, respectively. The package had an overall average return of 19.62% during the period.