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 […]

Commodities Market Review: Gold and Other Precious Metals Rise as Investors Prepare for Falling Rates

Gold (GDX) Gold (GDX) prices rose an astounding 7.41% in 3 days last week. The jump was led by escalating tensions between Iran and western countries, including Britain and the US, as well as expectations of monetary easing by global central banks. In fact, gold briefly hit a 6-year high of $1,452.60 on Friday after […]

Commodity ETFs Forecast Based on Artificial Intelligence: Returns up to 6.88% in 14 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. GDX was our best stock pick this week a return of 6.88%. PALL and GLD followed with returns of 4.82% and 4.49% for the 14 Days period. The package had an overall average return of 2.65% during the period.

Gold Price Forecast Based on Artificial Intelligence: Returns up to 2.35% in 7 Days

This Gold price forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Price Expectations predictions for Gold and other precious metals for the various forecasted time frame.

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.

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.

Commodities Price Forecast Based on a Self-learning Algorithm: Returns up to 57.09% in 3 Months

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 57.09%. PALL and GDX followed with returns of 22.66% and 10.83% for the 3 Months period. The package had an overall average return of 6.63% during the period.

Commodities Price Prediction Based on Genetic Algorithms: Returns up to 29.82% 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 29.82%. Further notable returns came from PALL and Nickel at 12.33% and 8.87%, respectively. The package had an overall average return of 4.78% during the period

Commodities Forecast Based on Artificial Intelligence: Returns up to 29.73% in 1 Month

Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 29.73%. Nickel and PALL saw outstanding returns of 11.90% and 11.88%. The package had an overall average return of 7.29% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 25.91% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 25.91%. CME_CL1 and Nickel also performed well for this time horizon with returns of 6.76% and 6.74%, respectively. The package had an overall average return of 4.73% during the period.

Commodity Outlook Based on AI: Returns up to 26.17% in 1 Month

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. ^JPLAT was the highest-earning trade with a return of 26.17% in 1 Month. Additional high returns came from PALL and GDX, at 9.31% and 8.83% respectively. The package had an overall average return of 6.91% during the period.

Commodity Forecast Based on Machine Learning: Returns up to 17.54% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ^JPLAT at 17.54%. Nickel and GDX also performed well for this time horizon with returns of 10.80% and 5.14%, respectively. The package had an overall average return of 4.53% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 6.29% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_CL1 was the top performing prediction with a return of 6.29%. GDX and ^JPLAT saw outstanding returns of 5.22% and 2.63%. The package had an overall average return of 2.15% during the period.

Commodities Market Review: Precious Metal Demand Rises While Crude Oil Production Falls

Summary: Platinum (^JPLAT) saw an increase of +11.85% over the past month. Silver (SLV) continues to see a steady rise. Last week Crude Oil saw a rise of +4.28% over a seven-day time frame from the 14th January to the 21st The volatile oil production in Nigeria and Libya are one of the many situations […]

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 11.85% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 10 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 11.85%. Other notable stocks were PALL and SLV with a return of 8.19% and 6.27%. The package had an overall average return of 4.46% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 9.06% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 9.06%. The suggested trades for ^JPLAT and SLV also had notable 1 Month yields of 5.01% and 3.75%, respectively. The package had an overall average return of 2.39% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.10% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 7.10%. The suggested trades for ^JPLAT and SLV also had notable 14 Days yields of 5.55% and 3.47%, respectively. The package had an overall average return of 2.05% during the period.