Best Commodity ETFs Based on AI: Returns up to 12.89% in 1 Month

Best 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 […]

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 Market Overview: Nickel, USO, & GSP Growing

Summary – Commodity Market Overview Indonesia’s upcoming export ban on ore along with increasing demand for electric vehicle batteries has increased the price of nickel.  Meteorological, political, and inventory uncertainty is causing oil prices to grow.  The GSP price has increased due to more expensive energy commodities such as oil and an increase in the […]

Commodities Prices Forecast Based on Artificial Intelligence: Returns up to 6.06% in 3 days

During the 3 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 6.06%. USO and GSP saw outstanding returns of 3.99% and 3.69%. Finally, the positive returns could also come from DJP and DJCI with 2.94% and 2.79% returns, respectively. The package had an overall average return of 2.77% during the period.

Commodities Forecast Based on Deep Learning: Returns up to 12.11% in 7 Days

During the 7 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. For the long positions the largest growth was registered by ICE_KC1 with a return of 12.11%, during the same period. For the short positions the largest growth was registered by USO with a return of 10.14%, during the same period. The package itself, had an overall average return of 3.95%, in the long position. The package itself, had an overall average return of 2.50%, in the short position. The I Know First Algorithm accurately forecasted 7 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 7 Days forecasted period.

Commodities Market Predictions Based on Machine Learning: Returns up to 13.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecasts for the 7 Days time period. The greatest return came from ICE_OJ1 at 13.90%. Coffee and ICE_KC1 also performed well for this time horizon with returns of 13.24% and 11.20%, respectively. The package had an overall average return of 3.68% during the period.

Commodity ETFs Forecast Based on Big Data: Returns up to 6.94% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. FCG was the highest-earning trade with a return of 6.94% in 1 Month. Additional high returns came from PALL and SOYB, at 6.60% and 6.04% respectively. The package had an overall average return of 2.65% during the period.

Commodity ETFs Forecast Based on Stock Market Algorithm: Returns up to 7.63% in 1 Month

7 out of 10 top commodities picks from the algorithm decreased as predicted for this long-term forecasting period. PALL saw monumental growth of 7.63% in just 1 Month. SOYB, and FCG also had excellent performances with returns of 7.32% and 6.54% respectively.

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 ETFs Prediction Based on Stock Algorithm: Returns up to 10.59% in 3 Months

7 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 10.59%. ^CEX and Nickel followed with returns of 9.68% and 5.41% for the 3 Months period. The package had an overall average return of 2.87% during the period.

Commodities Price Prediction Based on Data Mining: Returns up to 9.85% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was CME_RB1, which registered a return of 9.85%. Other notable stocks were CME_CL1 and ICE_B1 with a return of 9.28% and 5.88%. The package had an overall average return of 3.38% during the period.

Commodities Forecast Based on Pattern Recognition: Returns up to 12.77% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was CME_RB1, which registered a return of 12.77%. Other notable stocks were CME_CL1 and ^JPLAT with a return of 11.94% and 6.87%. The package had an overall average return of 3.19% during the period.

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 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 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 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.

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 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.

Pages:123456»