Commodities Forecast Based on Artificial Intelligence: Returns up to 9.06% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 9.06%. The suggested trades for ^JPLAT and SLV also had notable 1 Month yields of 5.01% and 3.75%, respectively. The package had an overall average return of 2.39% during the period.

Commodities Market Review: Oil Prices Continue to Fluctuate Amid OPEC Supply Cuts

Summary: Over the three day trading period from January 06 to January 10 crude oil future settlements (CME_CL1) saw returns of 9.65%. Palladium (PALL) has risen +9.33% over the past 14 days in good agreement to the bullish I Know First forecast. On January 6th I Know First algorithm issued bullish predictions for commodities for a 3-Day […]

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.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.10% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from PALL, at 7.10%. The suggested trades for ^JPLAT and SLV also had notable 14 Days yields of 5.55% and 3.47%, respectively. The package had an overall average return of 2.05% during the period.

Commodity Forecast Based on Algo Trading: Returns up to 6.56% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from SLV at 6.56%. PALL and ^JPLAT also performed well for this time horizon with returns of 6.33% and 4.80%, respectively. The package had an overall average return of 3.00% during the period.

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

Commodities Outlook Based on Genetic Algorithms: Returns up to 9.33% 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 PALL at 9.33%. SLV and Cocoa also performed well for this time horizon with returns of 6.77% and 6.12%, respectively. The package had an overall average return of 4.38% during the period.

Commodities Price Prediction Based on Algo Trading: Returns up to 8.41% in 14 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was PALL with a return of 8.41%. SLV, and ^JPLAT had notable returns of 7.21% and 4.68%. The package had an overall average return of 4.02% during the period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 4.97% in 7 Days

In this 7 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 SLV, which registered a return of 4.97%. Other notable stocks were ICE_CC1 and Cocoa with a return of 4.36% and 3.41%. The package had an overall average return of 1.91% during the period.

Commodities Price Prediction Based on Deep Learning: Returns up to 5.90% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from Cocoa at 5.90%. SLV and ICE_CC1 also performed well for this time horizon with returns of 4.69% and 4.36%, respectively. The package had an overall average return of 2.13% during the period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 35.50% in 3 Months

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 35.50%. PALL and CME_NG1 followed with returns of 32.40% and 27.50% for the 3 Months period. The package had an overall average return of 2.13% during the period.

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 46.40% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 5 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 46.40%. ^JPLAT and PALL saw outstanding returns of 34.99% and 29.74%. The package had an overall average return of 4.20% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 49.04% in 3 Months

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 49.04%. ^JPLAT and PALL followed with returns of 35.50% and 30.17% for the 3 Months period. The package had an overall average return of 5.03% during the period.

Commodities Price Based on AI: Returns up to 10.83% in 14 Days

During the 14 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 PALL, at 10.83%. Further notable returns came from GDX and CME_S1 at 8.32% and 5.08%, respectively. The package had an overall average return of 1.70% during the period.

Commodity Forecast Based on Self-learning Algorithm: Returns up to 15.08% in 1 Month

During the 1 Month 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 PALL, at 15.08%. Further notable returns came from NaturalGas and CME_NG1 at 12.15% and 11.21%, respectively. The package had an overall average return of 1.97% during the period.

Commodities Forecast Based on Algorithmic Trading: Returns up to 46.25% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 5 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 46.25%. ^JPLAT and PALL saw outstanding returns of 38.33% and 31.98%. The package had an overall average return of 3.74% 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.