Commodity Outlook Based on Pattern Recognition: Returns up to 4.32% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. The highest trade return came from XAG, at 4.32%. Additional high returns came from SLV and PHAU.MI, at 3.96% and 2.7% respectively. The package had an overall average return of 1.87% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 2.9% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The top performing prediction from this package was SLV with a return of 2.9%. Further notable returns came from XAG and GLD at 2.9% and 2.06%, respectively. The package had an overall average return of 1.05% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 17.27% in 14 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. The greatest return came from XAG at 17.27%. Nickel, and SLV had notable returns of 5.72% and 4.36%. The package had an overall average return of 3.61% during the period.

Commodity Outlook Based on Genetic Algorithms: Returns up to 6.41% in 14 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. Nickel was our best stock pick this week a return of 6.41%. XAG and SLV also performed well for this time horizon with returns of 4.73% and 4.7%, respectively. The package had an overall average return of 2.75% during the period.

Commodity Outlook Based on Deep Learning: Returns up to 6.63% 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 highest trade return came from Nickel, at 6.63%. XAG and SLV followed with returns of 4.62% and 4.55% for the 7 Days period. The package had an overall average return of 2.41% during the period.

Commodity Price Forecast Based on a Self-learning Algorithm: Returns up to 6.84% 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. The highest trade return came from Nickel, at 6.84%. CME_BO1 and SLV also performed well for this time horizon with returns of 5.08% and 3.52%, respectively. The package had an overall average return of 2.95% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 6.3% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The highest trade return came from CME_BO1, at 6.3%. Nickel and SLV saw outstanding returns of 4.29% and 3.65%. The package had an overall average return of 3.09% 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 […]

Commodity ETFs Market Based on Stock Algorithm: Returns up to 9.58% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 movements. The top performing prediction from this package was FCG with a return of 9.58%. XME, and WOOD had notable returns of 7.91% and 7.51%. The package had an overall average return of 3.58% during the period.

Commodity ETFs Prediction Based on Stock Algorithm: Returns up to 4.23% in 14 Days

6 out of 10 top commodity ETF picks from the algorithm decreased as predicted for this short-term forecasting period. XME saw monumental growth of 4.23% in just 14 Days. PPLT, and PALL also had excellent performances with returns of 3.74% and 3.15% respectively.

Commodities Prediction Based on Big Data Analytics : Returns up to 2.03% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 2.03%. ^CEX and ICE_CC1 saw outstanding returns of 1.66% and 1.34%. The package had an overall average return of 0.68% during the period.

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 Forecast Based on Data Mining: Returns up to 59.34% in 3 Months

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Months time period. The greatest return came from ^JPLAT at 59.34%. PPLT and GDX also performed well for this time horizon with returns of 10.24% and 7.84%, respectively. The package had an overall average return of 8.23% 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 ETFs Outlook Based on Deep Learning: Returns up to 19.49% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Zinc was the top performing prediction with a return of 19.49%. PALL and ^CEX saw outstanding returns of 11.06% and 10.98%. The package had an overall average return of 5.80% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 15.52% in 3 Months

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Zinc was our best stock pick this week a return of 15.52%. PALL and ^CEX followed with returns of 9.24% and 7.85% for the 3 Months period. The package had an overall average return of 4.90% 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 Markets Expectations Based on Algorithmic Trading: Returns up to 2.69% in 3 Days

During the 3 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from Coffee which registered a return of 3.40%. For the long positions the largest growth was registered by PALL with a return of 2.69%, during the same period. The package itself, had an overall average return of 0.81%, in the long position. With regards to the short position, the package had an overall average return of 1.07%. The I Know First Algorithm accurately forecasted 9 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 3 Days forecasted period.