Commodities Predictions Based on Pattern Recognition: Returns up to 63.72% in 3 Months

During the 3 Months 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 CME_NG1, at 63.72%. Further notable returns came from NaturalGas and ^JPLAT at 57.31% and 29.61%, respectively. The package had an overall average return of 11.55% during the 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.

Commodity Prediction Based on Genetic Algorithms: Returns up to 61.67% in 3 Months

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. CME_NG1 was the highest-earning trade with a return of 61.67% in 3 Months. Additional high returns came from NaturalGas and PALL, at 55.86% and 26.24% respectively. The package had an overall average return of 10.85% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.68% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from PALL at 7.68%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 4.92% and 3.68%, respectively. The package had an overall average return of 2.36% during the period.

Commodities Price Forecast Based on Algo Trading: Returns up to 11.99% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_NG1 with a return of 11.99%. ICE_KC1, and ICE_CC1 had notable returns of 5.08% and 3.28%. The package had an overall average return of 2.09% during the period.

Commodities Forecast Based on Algo Trading: Returns up to 5.26% in 3 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_HG1 was our best stock pick this week a return of 5.26%. ^CEX and PPLT followed with returns of 4.11% and 4.00% for the 3 Days period. The package had an overall average return of 2.36% during the period

Commodities Market Expectations Based on Algorithmic Trading: Returns up to 17.65% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 6 out of 10 movements. The highest trade return came from CME_NG1, at 17.65%. The suggested trades for ICE_SB1 and ICE_B1 also had notable 1 Month yields of 17.53% and 9.22%, respectively. The package had an overall average return of 4.32% during the period.

Commodities Market Prediction Based on Algo Trading: Returns up to 11.56% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_O1 at 11.56%. CME_NG1 and ICE_KC1 also performed well for this time horizon with returns of 9.74% and 9.06%, respectively. The package had an overall average return of 4.40% during the period.

Commodities Market Forecast Based on Algo Trading: Returns up to 9.22% in 14 Days

For this 14 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ICE_SB1, at 9.22%. The suggested trades for CME_WS1 and ICE_B1 also had notable 14 Days yields of 9.17% and 8.88%, respectively. The package had an overall average return of 3.67% during the period.

Commodities Market Expectations Based on Machine Learning: Returns up to 6.62% 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_O1 was the top performing prediction with a return of 6.62%. CME_CL1 and CME_NG1 saw outstanding returns of 6.39% and 3.93%. The package had an overall average return of 1.70% during the period.

Commodities Forecasts Based on Machine Learning: Returns up to 5.09% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from CME_NG1 at 5.09%. CME_O1 and ICE_B1 also performed well for this time horizon with returns of 4.41% and 2.92%, respectively. The package had an overall average return of 1.85% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 16.69% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 16.69%. PALL and ^APAPR.T saw outstanding returns of 8.19% and 6.13%. The package had an overall average return of 3.35% 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.

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 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.

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.