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 Price Forecast Based on Artificial Intelligence: Returns up to 25.63% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The highest trade return came from XAG, at 25.63%. Nickel and SLV also performed well for this time horizon with returns of 14.22% and 12.15%, respectively. The package had an overall average return of 5.01% during the period.

Commodity Price Forecast Based on Data Mining: Returns up to 11.14% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. The prediction with the highest return was ^JPLAT, at 11.14%. XAG and SLV also performed well for this time horizon with returns of 7.13% and 5.01%, respectively. The package had an overall average return of 3.55% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 7.46% in 14 Days

Commodity Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Price Forecast 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 […]

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 Market Review: Investors Take a Shine to Silver

Summary: Investors Take a Shine to Silver Global economic uncertainty along with expectations of interest rate cuts have increased the price of precious metals. There is a disconnect between the price of gold and the price of other precious metals. Gold As global economic uncertainty endures, investors are continuing to turn to safe haven assets, […]

Commodity Outlook Based on Stock Prediction Algorithm: Returns up to 16.58% in 30 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 Prediction Based on Pattern Recognition: Returns up to 16.02% in 30 days

During the 30 days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The highest trade return came from GDX, at 16.02%. The suggested trades for ICE_KC1 and ^JPLAT also had notable 30 days yields of 8.45% and 5.85%, respectively. The package had an overall average return of 4.01% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 7.60% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 7.60%. GDX, and MOO had notable returns of 6.24% and 1.81%. The package had an overall average return of 1.76% during the period.

Commodity Market Predictions Based on Artificial Intelligence: Returns up to 5.96% in 3 Days

During the 3 Days 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 PALL, at 5.96%. Further notable returns came from ^JPLAT and GDX at 5.64% and 3.87%, respectively. Finally, positive returns resulted from positions on ICE_SB1 and XME gaining 2.82% and 1.43%, respectively, over the same forecast horizon.  The package had an overall average return of 1.98% during the period.

Commodity Market Prediction Based on Artificial Intelligence: Returns up to 4.71% in 3 Days

10 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 4.71%. ICE_SB1 and ICE_KC1 followed with returns of 2.38% and 1.87% for the 3 Days period. Finally, positive returns came from long positions on CEX and MOO resulting in gains of 1.76% and 1.58% over the same investment time horizon. The package had an overall average return of 1.78% during the period.

Commodities Price Forecast Based on Stock Algorithm: Returns up to 47.34% 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. The prediction with the highest return was ^JPLAT, at 47.34%. Further notable returns came from ^CEX and Uranium at 8.27% and 8.16%, respectively. The package had an overall average return of 2.58% 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.

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.