Commodities Prices Projections Based on a Self-learning Algorithm: Returns up to 4.12% in 3 Days

During the 3 Days 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 CME_O1, at 4.12%. Further notable returns came from CME_HG1 and CME_WS1 at 3.49% and 2.50%, respectively. The package had an overall average return of 1.09% during the period.

Commodities Market Expectations Based on Genetic Algorithms: Returns up to 24.14% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 24.14%. ICE_B1, and MOO had notable returns of 5.45% and 3.17%. The package had an overall average return of 4.08% during the period.

Commodities Prices Based on Algo Trading: Returns up to 13.25% 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. ^JPLAT was the top performing prediction with a return of 13.25%. Copper and CME_HG1 saw outstanding returns of 4.70% and 4.67%. The package had an overall average return of 3.12% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 8.60% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The top-performing prediction in this forecast was SHFE_RB3, which registered a return of 8.60%. Other notable stocks were SHFE_RB2 and SHFE_RB5 with a return of 7.15% and 6.02%. The package had an overall average return of 0.86% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.41% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from CME_O1 at 5.41%. SHFE_RB5 and SHFE_RB3 also performed well for this time horizon with returns of 3.83% and 3.71%, respectively. The package had an overall average return of 1.17% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 5.28% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from SHFE_RB5, at 5.28%. The suggested trades for SHFE_RB3 and SHFE_RB2 also had notable 7 Days yields of 3.86% and 3.66%, respectively. The package had an overall average return of 1.31% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 8.08% in 14 Days

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. SHFE_RB5 was our best stock pick this week a return of 8.08%. SHFE_RB3 and SHFE_RB2 followed with returns of 7.51% and 6.30% for the 14 Days period. The package had an overall average return of 1.79% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 5.40% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from SHFE_RB3 at 5.40%. SHFE_RB5 and SHFE_RB2 also performed well for this time horizon with returns of 5.33% and 5.03%, respectively. The package had an overall average return of 1.66% during the period.

Gold and Commodities Market Review: Turkey Pushed Gold to Cheapest in 17 Months

Turkey Pushed Gold to Cheapest in 17 Months Natural Gas Buoyed by Storage Deficit As it is entering the injection season, natural gas price experienced a rebound last week. The CME natural gas futures settle price surged last week to hit the highest of $2.96 since June 28. Support comes from weather concerns, rising demand […]

Commodities Price Predictions Based on a Self-learning Algorithm: Returns up to 5.61% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from CME_O1 at 5.61%. CME_NG1 and CME_W1 also performed well for this time horizon with returns of 3.36% and 2.47%, respectively. The package had an overall average return of 1.63% during the period.

Commodity Forecast Based on AI: Returns up to 5.98% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from ICE_CT1 at 5.98%. CME_NG1 and CME_HG1 also performed well for this time horizon with returns of 2.53% and 1.79%, respectively. The package had an overall average return of 1.02% during the period.

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.

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.

Commodity Prediction Based on Artificial Intelligence: Returns up to 5.34% in 7 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ICE_B1 was the highest-earning trade with a return of 5.34% in 7 Days. Additional high returns came from ICE_OJ1 and CME_LC1, at 3.70% and 3.37% respectively. Also, high returns came from CME_HO1 and ICE_CC5, at 2.77% and 2.32% respectively. The package had an overall average return of 1.54% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 6.21% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_W1 was the top performing prediction with a return of 6.21%. Cocoa and WEAT saw outstanding returns of 5.44% and 4.15%. ICE_CC1 and ICE_SB2 followed with returns of 3.62% and 3.61%, respectively. Next, ICE_CT1 and CME_NG1 showed the returns of 1.17% and 0.45% for the 3 Days period, respectively. The package had an overall average return of 2.19% during the period.

Commodity Picks Based on Algorithmic Trading: Returns up to 10.00% in 7 Days

Commodities Forecast from October 26, 2017 to November 2, 2017 based on I Know First’s stock forecast algorithm.