Commodities Market Review: Copper Price Soared to a Four-Year High

Starting from June, industrial metals, especially copper, have been the big movers in the commodities market. On June 8, the LME Copper soared to $7261.5 per ton, reaching its highest price since January 2014. The price of copper is essentially determined by the supply and demand relationship as well as the broad economic factors, such […]

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 5.33% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_HG1, at 5.33%. The suggested trades for Copper and ICE_CT1 also had notable 3 Days yields of 5.27% and 3.08%, respectively. The package had an overall average return of 1.69% during the period.

Commodities Market Review: Argentina’s Worst Drought Trembled the Grains Market

For all time, agricultural production is the result of a combination of two factors: financing and weather. This argument got strong support from the increased volatility in grains price over the past few months. The trembling in the market was primarily caused by firstly, this year’s drought conditions in Argentina and secondly, the tariffs and […]

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 7.29% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was CME_W1 with a return of 7.29%. ICE_SB1, and ICE_IW1 had notable returns of 6.86% and 4.78%.  Besides that, CME_W5 and CME_NG1 also had remarkable returns of 3.52% and 3.23%, respectively. Other commodities that also went up in 7 days were ICE_OJ1 and CME_01. The package had an overall average return of 2.67% during the period.

Commodities Price Outlook Based on Machine Learning: Returns up to 3.54% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. NaturalGas was the top performing prediction with a return of 3.54%. CME_NG1 and ^XNG saw outstanding returns of 2.75% and 1.79%. Additionally, ICE_B1 and FCG saw returns of 1.75% and 1.09%. Finally, CME_CL1 and IYM saw returns of 0.74% and 0.76%. The package had an overall average return of 1.25% during the period.

Commodities Predictions Based on Machine Learning: Returns up to 8.32% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Forecast Package for the 1 Month time period. The greatest return came from CME_RB1 at 8.32%. Other notable futures were ICE_B1 and CME_WS1 with a return of 6.97% and 5.61%. Finally, positive returns were provided by CME_CL1 and ICE_CT1 with a return of 5.48% and 3.45%. The package itself saw an overall return of 2.12%, providing investors with a 2.12%.

Commodity Prediction Based on Machine Learning: Returns up to 5.29% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ^XNG was the highest-earning trade with a return of 5.29% in 3 Days. Additional high returns came from FCG and ICE_B1, at 4.53% and 2.83% respectively. Finally, positive returns came from ^XOI and NaturalGas, at 2.76% and 2.14% respectively. The package had an overall average return of 2.42% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 11.15% 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. SHFE_RB2 was the top performing prediction with a return of 11.15%. CME_HO1 and CME_RB1 saw outstanding returns of 7.09% and 6.75%. CME_WS1 and CME_CL1 saw outstanding returns of 5.82% both.  Finally, ICE_CC5 gave outstanding return of 3.64%. The package had an overall average return of 4.25% during the period.

Daily Commodity Market Forecast Based on Machine Learning: Returns up to 11.39% in 1 Month

The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. SHFE_RB2 was the highest-earning trade with a return of 11.39% in 1 Month. Additional high returns came from ICE_CC1 and ICE_CC5, at 10.19% and 8.56% respectively. Finally, positive returns came from ICE_B1 and CME_HO1, at 7.08% and 6.63% respectively. The package had an overall average return of 5.94% during the period.

Commodities Price Outlook Based on Artificial Intelligence: Returns up to 13.90% in 1 Month

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

Trend Following Based on Artificial Intelligence: Returns up to 15.40% in 14 Days

Trend Following The left-hand graph shows the futures predictor forecast from April 23, 2018, which includes long and short recommendations. The green boxes are long signals while the red boxes are short signals. The right-hand side shows the returns of the suggested futures from April 23, 2018 to May 7, 2018. Package Name: Futures Forecast […]

Commodity Forecast Based on Artificial Intelligence: Returns up to 13.40% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from ICE_OJ1 at 13.40%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 1.96% and 1.93%, respectively. ICE_CC1 and ICE_CC% also performed well for this time horizon with returns of 1.82% and 1.09%, respectively. The package had an overall average return of 2.47% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 13.09% in 1 Month

10 out of 10 commodities prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CC1 was our best commodity pick this week a return of 13.09%. CME_CL1 and CME_WS1 followed with returns of 10.02% and 10.02% for the 1 Month period. The package had an overall average return of 6.75% during the period.

Commodities Price Predictions Based on a Self-learning Algorithm: Returns up to 9.77% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ICE_OJ1 was the top performing prediction with a return of 9.77%. ICE_CC1 and ICE_B1 saw outstanding returns of 6.82% and 5.02%. Also, CME_SM4 and ICE_CC5 saw outstanding returns of 3.03% and 2.73%. Finally, CME_CL1 and CME_WS1 saw outstanding returns of 2.12% each. The package had an overall average return of 2.97% during the period.

Commodity Prediction Based on Genetic Algorithms: Returns up to 14.01% in 1 Month

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 14.01%. ICE_CC5, and CME_CL1 had notable returns of 8.03% and 4.60%. The package had an overall average return of 4.67% during the period.

Commodities Price Outlook Based on Artificial Intelligence: Returns up to 5.94% in 14 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 5.94%. ICE_CC5, and CME_HO1 had notable returns of 5.71% and 3.20%. CME_RB1, and ICE_B1 had notable returns of 3.09% and 2.84%. ICE_KC1, and CME_W5 had notable returns of 2.60% both. The package had an overall average return of 2.83% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 6.60% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was CME_W1, which registered a return of 6.60%. Other notable stocks were ICE_OJ1 and ICE_IW1 with a return of 4.41% and 3.07%. Other notable stocks were ICE_CC1 and CME_LC1 with a return of 1.03% and 1.00%. The package had an overall average return of 1.50% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 10.90% 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 ICE_OJ1, which registered a return of 10.90%. Other notable stocks were ICE_CC1 and CME_LC1 with a return of 3.71% and 3.69%. Other notable stocks were CME_HO1 and ICE_CC5 with a return of 2.09% and 0.95%. The package had an overall average return of 2.25% during the period.