Commodities Prices Prediction Based on a Self-learning Algorithm: Returns up to 4.50% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_LC1 was the top performing prediction with a return of 4.50%. ICE_SB1 and SHFE_RU1 saw outstanding returns of 3.33% and 2.37%. The package had an overall average return of 0.77% during the period.

Commodity Market Forecast Based on Genetic Algorithms: Returns up to 7.25% in 7 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ICE_SB1 was the highest-earning trade with a return of 7.25% in 7 Days. Additional high returns came from SHFE_RU1 and CME_LC1, at 2.43% and 1.60% respectively. The package had an overall average return of 0.81% during the period.

Commodities Market Review: Sugar’s Bottom-up after Global Glut

Sugar Slumped to a Decade Low due to Supply Surplus The Sugar Price Index averaged 157.3 points in August, 5.4% lower than the July average. On August 22, raw sugar prices in New York sank to 9.91 US cents, the lowest level in a decade because of a severe global supply glut, great fund short […]

Gold Prices Forecast Based on Algo Trading: Returns up to 0.83% in 3 Days

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Market Predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for:

Gold ETF (GLD) direction
Physical Gold (XAU) direction

Gold Market Outlook Based on a Self-learning Algorithm: Returns up to 1.10% in 7 Days

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Market Predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for:

Gold ETF (GLD) direction
Physical Gold (XAU) direction

Commodities Prices Forecast Based on Genetic Algorithms: Returns up to 3.70% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 5 out 10 returns. The prediction with the highest return was ICE_SB1, at 3.70%. Further notable returns came from CME_SM4 and CME_SM1 at 1.63% and 1.58%, respectively. The package had an overall average return of 0.75% during the period.

Gold Market Predictions Based on Stock Market Algorithm: Returns up to 7.74% in 1 Month

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Market Predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for:

Gold ETF (GLD) direction
Physical Gold (XAU) direction
Silver (XAG) direction

Commodities Market Review: Labor Day Brought Gasoline Price to this Summer’s High

Precious Metals Trembled by Strong USD During the past few months, precious metals were severely hammered by a surging USD on the foreign exchange market. Steep losses occurred to all of gold, silver, platinum and palladium. Gold sank to a 1.5-year low, silver a more than 2.5-year low, platinum a 14-year low and palladium a […]

Commodities Market Predictions Based on Algo Trading: Returns up to 5.27% in 7 Days

The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ^JPLAT was the highest-earning trade with a return of 5.27% in 7 Days. Additional high returns came from PALL and CME_RB1, at 5.09% and 3.17% respectively. The package had an overall average return of 1.52% during the period.

Commodity Market Predictions Based on Genetic Algorithms: Returns up to 5.09% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 5.09%. ^JPLAT, and CME_RB1 had notable returns of 3.28% and 3.17%. The package had an overall average return of 1.36% during the period.

Commodity Market Forecast Based on a Self-learning Algorithm: Returns up to 3.55% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from PALL, at 3.55%. The suggested trades for CME_RB1 and ICE_B1 also had notable 3 Days yields of 3.16% and 2.57%, respectively. The package had an overall average return of 0.68% 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.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 2.95% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from PALL, at 2.95%. The suggested trades for ^JPLAT and USO also had notable 3 Days yields of 2.64% and 1.59%, respectively. The package had an overall average return of 0.71% during the period.

Commodities Market Review: Gold’s Turnaround on Powell’s Dovish Tone

Biggest Winner in Commodities Sector With a total gain of 48% cocoa is this year’s best-performing commodity, taking advantage of a drop of over 40% by the end of 2017 from the level in late 2015. Last Wednesday, the cocoa futures on ICE has climbed to an 18-month high of $2,836 per metric ton. The […]

Commodities Market Prediction Based on a Self-learning Algorithm: Returns up to 3.10% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. The prediction with the highest return was ^JPLAT, at 3.10%. Further notable returns came from USO and CME_CL1 at 1.61% and 1.53%, respectively. The package had an overall average return of 0.89% during the period.

Gold, Silver and Oil Forecasts Based on Artificial Intelligence: Returns up to 1.27% in 3 Days

This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Market Forecast and predictions for other precious metals for the various time frames and includes our algorithmic outlook for:

  • Gold ETF (GLD) direction
  • Physical Gold (XAU) direction
  • Silver (XAG) direction

Commodity Prediction Based on Machine Learning: Returns up to 4.65% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from Cocoa, at 4.65%. The suggested trades for ICE_CC1 and PALL also had notable 3 Days yields of 4.63% and 2.25%, respectively. The package had an overall average return of 0.73% 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.

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