Commodity Outlook Based on Big Data: Returns up to 3.07% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was PALL, at 3.07%. Other notable stocks were Coffee and XME with a return of 2.42% and 2.4%. The package had an overall average return of 1.06% during the period.

Commodity Price Forecast Based on AI: Returns up to 3.07% in 3 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. PALL was the top performing prediction with a return of 3.07%. Coffee and XME saw outstanding returns of 2.42% and 2.4%. The package had an overall average return of 1.23% during the period.

Commodity Outlook Based on Big Data: Returns up to 4.32% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. CME_W1 was the top performing prediction with a return of 4.32%. Further notable returns came from PALL and ICE_KC1 at 3.16% and 2.21%, respectively. The package had an overall average return of 1.02% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 3.48% 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 greatest return came from ICE_B1 at 3.48%. CME_NG1, and WOOD had notable returns of 2.21% and 1.92%. The package had an overall average return of 0.46% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 14.31% in 14 Days

Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. XAG was the top performing prediction with a return of 14.31%. The suggested trades for SLV and Nickel also had notable 14 Days yields of 14.27% and 13.97%, respectively. The package had an overall average return of 6.47% during the period.

Commodity Price Forecast Based on Predictive Analytics : Returns up to 9.2% in 3 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. Nickel was the highest-earning trade with a return of 9.2% in 3 Days. Other notable stocks were XAG and SLV with a return of 5.43% and 4.8%. The package had an overall average return of 1.59% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 14.06% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The prediction with the highest return was XAG, at 14.06%. SLV, and Nickel had notable returns of 13.3% and 13.08%. The package had an overall average return of 4.54% during the period.

Commodity Outlook Based on Stock Algorithm: Returns up to 15.86% in 7 Days

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 Outlook Based on a Self-learning Algorithm: Returns up to 7.07% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The prediction with the highest return was XAG, at 7.07%. Further notable returns came from SLV and GDX at 6.98% and 5.41%, respectively. The package had an overall average return of 2.25% during the period.

Commodity Outlook Based on Predictive Analytics : Returns up to 8.46% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. XAG was the top performing prediction with a return of 8.46%. SLV and GDX also performed well for this time horizon with returns of 8.19% and 6.89%, respectively. The package had an overall average return of 3.11% during the period.

Commodity Market Overview: Nickel, USO, & GSP Growing

Summary – Commodity Market Overview Indonesia‚Äôs 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 Price Predictions Based on Big Data Analytics : Returns up to 5.81% in 14 days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. Nickel was the highest-earning trade with a return of 5.81% in 14 days. GDX, and USO had notable returns of 3.47% and 1.87%. The package had an overall average return of 1.1% during the period.

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 Price Prediction Based on Machine Learning: Returns up to 5.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from USO, at 5.65%. The suggested trades for CME_CL1 and GDX also had notable 3 Days yields of 5.38% and 5.04%, respectively. The package had an overall average return of 2.15% during the period.

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.

Commodity ETFs Outlook Based on Pattern Recognition: Returns up to 3.30% in 14 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ^CEX with a return of 3.30%. IYM, and Cocoa had notable returns of 2.97% and 2.66%. The package had an overall average return of 1.17% during the period.

Commodity Price Outlook Based on AI: Returns up to 6.99% in 14 Days

6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 6.99%. ^CEX and USO followed with returns of 4.38% and 4.29% for the 14 Days period. The package had an overall average return of 1.90% 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.

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