Commodities Outlook Based on Data Mining: Returns up to 10.16% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ^JPLAT with a return of 10.16%. CME_RB1, and ICE_OJ1 had notable returns of 4.13% and 3.96%. The package had an overall average return of 2.27% during the period.

Commodity Price Forecast Based on Stock Prediction Algorithm: Returns up to 5.72% 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. ^JPLAT was the top performing prediction with a return of 5.72%. CME_RB1 and CME_CL1 saw outstanding returns of 3.37% and 2.49%. The package had an overall average return of 2.18% during the period.

Commodity Price Outlook Based on Machine Learning: Returns up to 5.72% in 3 Days

ring 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 5.72%. Further notable returns came from CME_RB1 and ICE_OJ1 at 3.17% and 2.86%, respectively. The package had an overall average return of 2.05% during the period.

Commodities Outlook Based on Artificial Intelligence: Returns up to 5.57% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was CME_RB1 with a return of 5.57%. ICE_OJ1, and CME_CL1 had notable returns of 5.27% and 5.20%. The package had an overall average return of 2.50% during the period.

Commodities Forecast Based on AI: Returns up to 5.96% 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 5.96%. Further notable returns came from ICE_OJ1 and CME_RB1 at 2.88% and 1.80%, respectively. The package had an overall average return of 1.56% 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.

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 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.

Commodities Price Outlook Based on Algo Trading: Returns up to 7.72% in 14 Days

Commodites Price Forecast for 3 days from July 20 2018 to July 23, 2018.

Commodity Forecast Based on Genetic Algorithms: Returns up to 4.35% in 3 Days

Commodity Forecast This Commodities Package is designed for investors who need commodity forecast to find the best performing commodities in the industry. It includes 20 Commodity Forecast 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 Name: Commodities Recommended […]

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 4.29% in 3 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 18 Commodities Price Outlook 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 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 Price Forecast Based on Artificial Intelligence: Returns up to 7.29% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was CME_W1 with a return of 7.29%. ICE_SB1, and ICE_IW1 had notable returns of 6.86% and 4.78%.  Besides that, CME_W5 and CME_NG1 also had remarkable returns of 3.52% and 3.23%, respectively. Other commodities that also went up in 7 days were ICE_OJ1 and CME_01. The package had an overall average return of 2.67% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 5.29% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ^XNG was the highest-earning trade with a return of 5.29% in 3 Days. Additional high returns came from FCG and ICE_B1, at 4.53% and 2.83% respectively. Finally, positive returns came from ^XOI and NaturalGas, at 2.76% and 2.14% respectively. The package had an overall average return of 2.42% during the period.

Trend Following Based on Artificial Intelligence: Returns up to 15.40% in 14 Days

Trend Following The left-hand graph shows the futures predictor forecast from April 23, 2018, which includes long and short recommendations. The green boxes are long signals while the red boxes are short signals. The right-hand side shows the returns of the suggested futures from April 23, 2018 to May 7, 2018. Package Name: Futures Forecast […]

Commodity Forecast Based on Artificial Intelligence: Returns up to 13.40% 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 ICE_OJ1 at 13.40%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 1.96% and 1.93%, respectively. ICE_CC1 and ICE_CC% also performed well for this time horizon with returns of 1.82% and 1.09%, respectively. The package had an overall average return of 2.47% during the period.

Commodities Price Predictions Based on a Self-learning Algorithm: Returns up to 9.77% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. ICE_OJ1 was the top performing prediction with a return of 9.77%. ICE_CC1 and ICE_B1 saw outstanding returns of 6.82% and 5.02%. Also, CME_SM4 and ICE_CC5 saw outstanding returns of 3.03% and 2.73%. Finally, CME_CL1 and CME_WS1 saw outstanding returns of 2.12% each. The package had an overall average return of 2.97% during the period.