Commodities Price Prediction Based on Stock Prediction Algorithm: 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 FCG and ^XNG also had notable 7 Days yields of 4.25% and 3.94%, respectively. The package had an overall average return of 3.06% during the period.

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.33% 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. USO was the top performing prediction with a return of 5.33%. CME_CL1 and WOOD saw outstanding returns of 5.08% and 4.62%. The package had an overall average return of 2.42% during the period.

Commodity Forecast Based on Algorithmic Trading: Returns up to 7.40% in 7 Days

In this 7 Days 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 CME_CL1, which registered a return of 7.40%. Other notable stocks were USO and ^XNG with a return of 6.90% and 5.48%. The package had an overall average return of 2.22% during the period.

Commodities Price Outlook Based on Algorithmic Trading: Returns up to 9.65% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_CL1 was our best stock pick this week a return of 9.65%. USO and ^XNG followed with returns of 9.04% and 8.34% for the 3 Days period. The package had an overall average return of 5.45% during the period.
Crude Oil Futures, Continuous Contract #1.

Commodity Outlook Based on a Self-learning Algorithm: Returns up to 9.17% in 3 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was CME_CL1 with a return of 9.17%. USO, and ^XNG had notable returns of 8.55% and 7.68%. The package had an overall average return of 4.72% during the period.

Commodity Price Prediction Based on Artificial Intelligence: Returns up to 8.79% 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 FCG, at 8.79%. Further notable returns came from ^XNG and USO at 7.92% and 3.42%, respectively. The package had an overall average return of 2.79% during the period

Commodity Outlook Based on Data Mining: Returns up to 5.22% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from FCG at 5.22%. KOL and ^XNG also performed well for this time horizon with returns of 4.38% and 3.57%, respectively. The package had an overall average return of 2.33% during the period.

Commodities Markets Analytics Based on AI: Returns up to 18.50% in 1 Month

During the 1 Month forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ICE_B1 which registered a return of 14.55%. For the long positions the largest growth was registered by CME_NG1 with a return of 18.50%, during the same period. The package itself, had an overall average return of 2.37%, in the long position. With regards to the short position, the package had an overall average return of 9.86%. The I Know First Algorithm accurately forecasted 5 out of 10 commodities, for the long position, and 9 out of 10 commodities, for the short position for this 1 Month forecasted period.

Commodity Market Expectations Based on Machine Learning: Returns up to 18.70% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ICE_SB1 at 18.70%. ^JPLAT and CME_NG1 also performed well for this time horizon with returns of 15.13% and 11.34%, respectively. The package had an overall average return of 7.21% during the period.

Commodities Market Forecast Based on Machine Learning: Returns up to 23.72% 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 ^JPLAT at 23.72%. PALL and ^APAPR.T also performed well for this time horizon with returns of 10.01% and 3.96%, respectively. The package had an overall average return of 3.36% during the period.

Commodities Prices Forecast Based on Algorithmic Trading: Returns up to 5.70% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. PALL was our best commodities prices forecast for this week a return of 5.70%. ^JPLAT and CME_LC1 followed with returns of 4.88% and 2.94% for the 14 Days period. The package had an overall average return of 1.11% 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 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 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.

Commodities Price Outlook Based on Machine Learning: Returns up to 4.02% in 7 Days

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 Price 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 […]

Commodities Market Review: OPEC Failed to Contain the Rising Oil Price

Global Oil Price Hit Near 3-Year High The oil price has stayed low since December 2014 when robust global production significantly exceeded demand. However, on June 29, WTI (West Texas Intermediate) price surged by more than 4% to $74.15 per barrel, the highest level since the end of 2014. The immediate cause is the production […]

Commodites Price Predictions Based on Genetic Algorithms: Returns up to 8.12% in 7 Days

Commodites Price Predictions This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 18 Commodites Price Predictions with bullish or bearish signals indicating which are best to buy: Top 9 commodities for the long position Top 9 commodities for the short position Package […]

Commodities Price Forecast Based on Machine Learning: Returns up to 4.83% in 3 Days

10 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. PALL was our best stock pick this week a return of 4.83%. ^XOI and FCG followed with returns of 3.80% and 3.38% for the 3 Days period. Also, ^XNG and ICE_B1 followed with returns of 2.62% and 1.65% for the same period. The package had an overall average return of 2.06% during the period.

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