Commodity Outlook Based on Pattern Recognition: Returns up to 5.24% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was CME_LC1 with a return of 5.24%. SHFE_RU1, and CME_S1 had notable returns of 3.73% and 3.62%. The package had an overall average return of 2.13% during the period.

Commodities Price Prediction Based on Algorithmic Trading: Returns up to 9.17% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was CME_CL1, at 9.17%. Further notable returns came from CME_WS1 and CME_RB1 at 9.17% and 5.76%, respectively. The package had an overall average return of 3.31% 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 Markets Expectations Based on Algorithmic Trading: Returns up to 2.69% in 3 Days

During the 3 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from Coffee which registered a return of 3.40%. For the long positions the largest growth was registered by PALL with a return of 2.69%, during the same period. The package itself, had an overall average return of 0.81%, in the long position. With regards to the short position, the package had an overall average return of 1.07%. The I Know First Algorithm accurately forecasted 9 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 3 Days forecasted period.

Commodity Forecast Based on Big Data: Returns up to 9.62% 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 PALL at 9.62%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 5.50% and 4.01%, respectively. The package had an overall average return of 3.21% during the period.
Providing focused exposure to palladium, which it physically holds in JPMorgan vaults in London and Zurich, PALL earns a perfect Fit score as it exactly tracks the movements in palladium spot prices. It trades decently in terms of volume, but the spreads can be a real issue. Block liquidity is strong, so institutional investors wanting to create new shares can do so at relatively low cost and without impacting the price of palladium. The expense ratio is on the high side of the physically backed precious metals ETF market, but it’s still competitive priced. More importantly, this is really the only game in town if you want focused palladium exposure

Commodity Forecast Based on a Self-learning Algorithm: Returns up to 9.91% in 14 Days

In this 14 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 PALL, which registered a return of 9.91%. Other notable stocks were GDX and CME_NG1 with a return of 4.34% and 4.18%. The package had an overall average return of 3.11% during the period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 2.96% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CT1 was our best stock pick this week a return of 2.96%. CME_S1 and CME_S5 followed with returns of 2.76% and 2.36% for the 3 Days period. The package had an overall average return of 1.36% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 2.81% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_S1 was our best stock pick this week a return of 2.81%. SHFE_RU1 and CME_S5 followed with returns of 2.71% and 2.38% for the 7 Days period. The package had an overall average return of 1.18% during the period.

Commodity Prices Forecast Based on Data Mining: Returns up to 12.92% in 3 Days

In this 3 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 NaturalGas, which registered a return of 12.92%. Other notable stocks were CME_NG1 and KOL with a return of 12.78% and 2.88%. The package had an overall average return of 2.45% during the period.

Commodities Markets Prediction Based on Algorithmic Trading: Returns up to 31.97% in 14 Days

Several predictions in this short-term 14 Days 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 31.97%. PALL and ^JPLAT saw outstanding returns of 7.71% and 2.46%. The package had an overall average return of 3.29% during the period.

Commodity Forecast Based on Stock Prediction Algorithm: Returns up to 9.82% 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_NG1 at 9.82%. Uranium and IYM also performed well for this time horizon with returns of 3.64% and 1.52%, respectively. The package had an overall average return of 1.88% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 9.55% in 7 Days

Several predictions in this short-term 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. Coffee was the top performing prediction with a return of 9.55%. ICE_KC1 and NaturalGas saw outstanding returns of 6.98% and 4.46%. The package had an overall average return of 3.01% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 16.94% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 9 out of 10 movements. The highest trade return came from ICE_SB1, at 16.94%. The suggested trades for CME_O1 and ICE_B1 also had notable 14 Days yields of 15.26% and 6.94%, respectively. The package had an overall average return of 5.90% during the period.

Commodities Algorithmic Forecast Based on AI: Returns up to 4.90% in 3 Days

In this 3 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 CME_O1, which registered a return of 4.90%. Other notable stocks were CME_WS1 and ICE_B1 with a return of 4.31% and 3.99%. The package had an overall average return of 2.25% during the period.

Commodities Prices Predictions Based on Genetic Algorithms: Returns up to 4.41% 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. CME_WS1 was the top performing prediction with a return of 4.41%. CME_O1 and CME_NG1 saw outstanding returns of 3.65% and 1.24%. The package had an overall average return of 1.21% during the period.

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.

Commodities Outlook Based on Genetic Algorithms: Returns up to 5.23% in 3 Days

Commodites Price Forecast for 3 days from July 29 2018 to August 01, 2018.

Commodities Price Outlook Based on Machine Learning: Returns up to 9.41% in 7 Days

Commodites Price Forecast for 3 days from July 25 2018 to August 01, 2018.

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