Commodity Futures Based on a Self-learning Algorithm: Returns up to 12.78% in 3 Days

Commodity Futures This Commodity Futures Package is designed for investors who need commodity recommendations to find the best performing commodity futures in the industry. It includes 20 commodity futures with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for the short […]

Commodity Outlook Based on Data Mining: Returns up to 18.66% in 1 Month

8 out of 10 top stock picks from the algorithm decreased as predicted for this 1 Month forecasting period. CME_CL1 saw monumental price change of 18.66% in just 1 Month. USO, and ICE_B1 also had excellent performances with returns of 18.41% and 18.11% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Futures Based on AI: Returns up to 5.3% in 3 Days

8 out of 10 top stock picks from the algorithm decreased as predicted for this 3 Days forecasting period. CME_O1 saw monumental price change of 5.3% in just 3 Days. ICE_SB1, and ICE_CC5 also had excellent performances with returns of 4.03% and 3.04% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Futures Based on Stock Prediction Algorithm: Returns up to 4.25% 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 top-performing prediction in this forecast was CME_RB1, which registered a return of 4.25%. Additional high returns came from ICE_SB1 and CME_WS1, at 3.52% and 2.56% respectively. The package had an overall average return of 1.55% during the period.

Commodity Futures Based on Algorithmic Trading: Returns up to 4.25% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The prediction with the highest return was CME_RB1, at 4.25%. ICE_SB1 and CME_WS1 saw outstanding returns of 3.52% and 3.52%. The package had an overall average return of 1.82% during the period.

Commodity Futures Based on Big Data Analytics: Returns up to 3.52% in 3 Days

Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_WS1 was our best stock pick this week a return of 3.52%. CME_CL1 and CME_RB1 also performed well for this time horizon with returns of 3.32% and 2.22%, respectively. The package had an overall average return of 1.56% during the period.

Commodity Futures Based on Data Mining: Returns up to 8.21% in 7 Days

10 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. ICE_B1 saw monumental price change of 8.21% in just 7 Days. ICE_KC1, and CME_WS1 also had excellent performances with returns of 8.16% and 5.7% respectively. Finally, good returns could also come from short positions held on the rest of successfully predicted assets, providing positive gains over the same forecast period.

Commodity Futures Based on Big Data: Returns up to 21.51% in 3 Months

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from SHFE_RU1 at 21.51%. ICE_SB1 and SHFE_RB5 also performed well for this time horizon with returns of 13.38% and 9.07%, respectively. The package had an overall average return of 6.74% during the period.

Commodity Price Forecast Based on Deep-Learning: Returns up to 14.23% in 1 Month

During the 1 Month 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 ^JPLAT, at 14.23%. Other notable stocks were PALL and ICE_SB1 with a return of 12.29% and 4.02%. The package had an overall average return of 2.3% during the period.

Commodity Futures Based on Stock Market Algorithm: Returns up to 2.77% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The prediction with the highest return was SHFE_RU1, at 2.77%. Additional high returns came from CME_WS1 and CME_CL1, at 2.6% and 2.6% respectively. The package had an overall average return of 1.27% during the period.

Commodity Futures Based on AI: Returns up to 1.79% in 3 Days

During the 3 Days 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 LIFFE_EMA1, at 1.79%. Other notable stocks were SHFE_RB3 and CME_LC1 with a return of 1.55% and 1.44%. The package had an overall average return of 0.54% during the period.

Commodity Futures Based on Genetic Algorithms: Returns up to 3.44% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. ICE_B1 was the top performing prediction with a return of 3.44%. CME_WS1 and CME_CL1 followed with returns of 2.69% and 2.69% for the 7 Days period. The package had an overall average return of 0.92% during the period.

Commodity Outlook Based on AI: Returns up to 16.77% in 1 Month

Several predictions in this 1 Month forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The highest trade return came from ^JPLAT, at 16.77%. PALL, and ICE_B1 had notable returns of 12.09% and 6.03%. The package had an overall average return of 4.13% during the period.

Commodity Futures Based on Algo Trading: Returns up to 4.54% in 14 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was CME_WS1, which registered a return of 4.54%. CME_CL1 and ICE_B1 also performed well for this time horizon with returns of 4.54% and 3.8%, respectively. The package had an overall average return of 2.0% during the period.

Commodity Price Forecast Based on Deep Learning: Returns up to 3.62% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 7 Days time period. ^XNG was the highest-earning trade with a return of 3.62% in 7 Days. ICE_B1 and CME_CL1 followed with returns of 3.36% and 2.58% for the 7 Days period. The package had an overall average return of 0.58% during the period.

Commodity Outlook Based on Deep-Learning: Returns up to 10.73% in 1 Month

During the 1 Month forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 7 out 10 returns. The top performing prediction from this package was ^JPLAT with a return of 10.73%. The suggested trades for PALL and ICE_B1 also had notable 1 Month yields of 9.97% and 8.71%, respectively. The package had an overall average return of 4.12% during the period.

Commodity Price Forecast Based on Algo Trading: Returns up to 4.32% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. CME_CL1 was our best stock pick this week a return of 4.32%. ICE_B1 and ^XNG also performed well for this time horizon with returns of 3.72% and 3.38%, respectively. The package had an overall average return of 0.81% during the period.

Commodity Price Forecast Based on Big Data: Returns up to 11.63% in 1 Month

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The prediction with the highest return was ^JPLAT, at 11.63%. Additional high returns came from PALL and ICE_B1, at 8.22% and 8.22% respectively. The package had an overall average return of 3.77% during the period.