Commodity Price Forecast Based on Stock Market Algorithm: Returns up to 7.17% in 7 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 Stock Algorithm: Returns up to 12.20% in 1 Month

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 Market Review: Coffee, Palladium, and Gold Look Golden

Summary: Coffee, Palladium, and Gold Commodity Review Fears of frost in Brazil combined with an appreciating Brazilian Real have increased the cost of coffee. Global economic and political tension along with expectations of interest rate cuts have increased the price of precious metals. Coffee Brazil is the world’s largest producer of coffee beans. The state […]

Commodities Market Forecast Based on Predictive Analytics : Returns up to 7.50% 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 USO which registered a return of 6.55%. For the long positions the largest growth was registered by ICE_OJ1 with a return of 7.50%, during the same period. The package itself, had an overall average return of 0.74%, in the long position. With regards to the short position, the package had an overall average return of 2.34%. The I Know First Algorithm accurately forecasted 6 out of 10 commodities, for the long position, and 6 out of 10 commodities, for the short position for this 3 Days forecasted 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 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 Market Forecast Based on Artificial Intelligence: Returns up to 8.20% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 market trades in this Commodities Package for the 14 Days investment time period. The most significant return came from Coffee at 8.20%. ICE_KC1 and ICE_OJ1 also performed well for this investment time horizon with returns of 8.20% and 5.10%, respectively. The Commodities package had an overall average return of 2.40% over the investment horizon.

Price Outlook for Commodities Based on Deep Learning: Returns up to 8.35% in 3 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_W1 with a return of 8.35%. WEAT, and Cocoa had notable returns of 3.78% and 3.41%. The package had an overall average return of 2.17% during the period.

Commodities Futures Predictions Based on Deep-Learning : Returns up to 6.95% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ICE_OJ1, at 6.95%. The suggested trades for CME_SM1 and CME_SM4 also had notable 3 Days yields of 6.16% and 5.83%, respectively. Finally, positive returns were recognized on long position for ICE_KC1 an CME_O1 resulting in gains of 2.95% and 2.11%, respectively. The package had an overall average return of 2.25% during the period.

Commodity Prices Outlook Based on Predictive Analytics: Returns up to 8.95% in 3 Days

In this 3 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 CME_SM1, which registered a return of 8.95%. Other notable stocks were CME_SM4 and ICE_KC1 with a return of 8.68% and 6.64%. The package had an overall average return of 3.50% during the period.

Commodities Market Forecast Based on Deep Learning: Returns up to 9.46% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from Coffee, at 9.46%. The suggested trades for CME_W1 and WEAT also had notable 7 Days yields of 9.41% and 8.51%, respectively. The yield for ICE_KC1 is noteworthy as well, coming in at 6.42%. The Commodities Package, all in all, an overall average return of 4.51% during the period.

Commodity Futures Outlook Based on Artificial Intelligence: Returns up to 13.12% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking stock advice. The best performance in the short position came from ICE_OJ1 which registered a return of 13.12%. For the long positions the largest growth was registered by CME_RB1 with a return of 5.54%, during the same period. The package itself, had an overall average return of 1.50%, in the long position, providing a premium of 0.11% over the SP500’s return of 1.39%. With regards to the short position, the package had an overall average return of 3.37%, providing investors with a premium of 1.98% over S&P500’s return of 1.39%. The I Know First’s Stock Market Algorithm accurately forecasted 7 out of 10 stocks, for the long position, and 10 out of 10 stocks, for the short position for this 14 Days forecasted period.

Commodities Price Forecast Based on Pattern Recognition: Returns up to 1.72% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. SHFE_RB2 was the highest-earning trade with a return of 1.72% in 3 Days. Additional high returns came from ICE_KC1 and SHFE_RB5, at 1.27% and 0.83% respectively. The package had an overall average return of 0.74% during the period.

Commodities Markets Trends Based on Artificial Intelligence: Returns up to 10.31% in 7 Days

In this 7 Days 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 Nickel, which registered a return of 10.31%. Other notable stocks were ^JPLAT and GDX with a return of 5.48% and 5.41%. The package had an overall average return of 3.80% 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.

Commodity Outlook Based on Algo Trading: Returns up to 19.08% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_NG1 at 19.08%. CME_LC1 and SHFE_RU1 also performed well for this time horizon with returns of 2.32% and 2.14%, respectively. The package had an overall average return of 1.96% during the period.
Historical Futures Prices: Natural Gas (Henry Hub) Physical Futures, Continuous Contract #1. Non-adjusted price based on spot-month continuous contract calculations. Raw data from CME.

Commodities Forecast Based on Algo Trading: Returns up to 28.84% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The prediction with the highest return was ICE_KC1, at 28.84%. Further notable returns came from SHFE_RU1 and SHFE_RB2 at 23.10% and 10.25%, respectively. The package had an overall average return of 4.11% during the period.

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