Commodities Market Predictions Based on Pattern Recognition: Returns up to 5.89% in 3 Days

Commodities Market Predictions This Commodity Futures Package is designed for investors who need commodity market predictions to find the best performing commodity futures in the industry. It includes 20 commodity futures with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for […]

Commodity Market Review : Wheat Futures Peaked Amid Wet Weather Concerns

Summary: Rallying oil prices drives demand for natural rubber Heavy rain threatens wheat production Wheat Futures Peaked Wheat prices are higher in multiple markets, with short-covering gaining momentum from slow spring wheat planting and potential damage to some of the crops in key production regions as it heads toward maturity. Short-covering are also supportive to […]

Commodities Price Outlook Based on Deep-Learning: Returns up to 5.86% in 3 Days

6 out of 10 commodities in this forecast moved as predicted by the algorithm. CME_W1 was our best stock pick this week a return of 5.86%. CME_W5 and SHFE_RU1 followed with returns of 3.97% and 3.96% for the 3 Days period. The package had an overall average return of 0.67% 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.

Commodity Outlook Based on Algorithmic Trading: Returns up to 24.56% 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 24.56%. The suggested trades for CME_CL1 and ICE_B1 also had notable 1 Month yields of 6.35% and 5.86%, respectively. The package had an overall average return of 4.27% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 11.21% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.21%. SHFE_RU1 and CME_CL1 also performed well for this time horizon with returns of 6.75% and 6.16%, respectively. The package had an overall average return of 3.16% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 11.15% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 11.15%. SHFE_RU1 and CME_CL1 saw outstanding returns of 7.64% and 4.52%. The package had an overall average return of 2.98% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.64% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was SHFE_RU1 with a return of 5.64%. SHFE_CU5, and SHFE_CU9 had notable returns of 4.01% and 3.90%. The package had an overall average return of 2.10% during the period.

Commodity Prediction Based on Deep-Learning : Returns up to 4.01% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from SHFE_RB2, at 4.01%. The suggested trades for SHFE_RB5 and SHFE_RU1 also had notable 14 Days yields of 3.38% and 1.67%, respectively. The package had an overall average return of 0.76% during the period.

Commodities Price Forecast Based on Algo Trading: Returns up to 4.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 10 out of 10 movements. The highest trade return came from CME_CL1, at 4.28%. The suggested trades for CME_WS1 and CME_RB1 also had notable 7 Days yields of 4.28% and 3.72%, respectively. The package had an overall average return of 2.82% during the period.

Commodity Outlook Based on Pattern Recognition: Returns up to 5.24% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was CME_LC1 with a return of 5.24%. SHFE_RU1, and CME_S1 had notable returns of 3.73% and 3.62%. The package had an overall average return of 2.13% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 4.28% in 7 Days

In this 7 Days 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 CME_CL1, which registered a return of 4.28%. Other notable stocks were CME_WS1 and CME_RB1 with a return of 4.28% and 3.72%. The package had an overall average return of 2.61% 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 Price Prediction Based on Algorithmic Trading: Returns up to 9.17% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was CME_CL1, at 9.17%. Further notable returns came from CME_WS1 and CME_RB1 at 9.17% and 5.76%, respectively. The package had an overall average return of 3.31% during the period.

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.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 2.96% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CT1 was our best stock pick this week a return of 2.96%. CME_S1 and CME_S5 followed with returns of 2.76% and 2.36% for the 3 Days period. The package had an overall average return of 1.36% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 2.81% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_S1 was our best stock pick this week a return of 2.81%. SHFE_RU1 and CME_S5 followed with returns of 2.71% and 2.38% for the 7 Days period. The package had an overall average return of 1.18% during the period.

Commodities Market Expectations Based on Algo Trading: Returns up to 18.73% 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 ICE_SB1, at 18.73%. Further notable returns came from CME_BO1 and SHFE_ZN5 at 7.77% and 5.24%, respectively. The package had an overall average return of 3.25% during the period.

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