Commodity Price Forecast Based on Deep Learning: Returns up to 17.78% in 3 Days

In this forecast, 8 out of 10 top stock picks from the algorithm decreased as predicted for this 3 Days forecasting period. ICE_B1 saw monumental price change of 17.78% in just 3 Days. USO, and CME_CL1 also had excellent performances with returns of 17.07% and 16.76% 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 Artificial Intelligence: Returns up to 36.92% in 1 Month

7 out of 10 top stock picks from the algorithm decreased as predicted for this 1 Month forecasting period. ICE_B1 saw monumental price change of 36.92% in just 1 Month. CME_WS1, and CME_CL1 also had excellent performances with returns of 31.72% and 31.72% 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 Price Forecast Based on Data Mining: Returns up to 33.8% in 7 Days

In this forecast, 8 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 33.8% in just 7 Days. CME_CL1, and ^XOI also had excellent performances with returns of 26.5% and 24.86% 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 Artificial Intelligence: Returns up to 30.45% in 7 Days

8 out of 10 top stock picks from the algorithm decreased as predicted for this 7 Days forecasting period. CME_WS1 saw monumental price change of 30.45% in just 7 Days. CME_CL1, and CME_RB1 also had excellent performances with returns of 30.45% and 18.53% 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 Price Forecast Based on Deep Learning: Returns up to 38.37% in 1 Month

In this forecast, 8 out of 10 top stock picks from the algorithm decreased as predicted for this 1 Month forecasting period. USO saw monumental price change of 38.37% in just 1 Month. CME_CL1, and ^JPLAT also had excellent performances with returns of 38.14% and 16.97% 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 Algorithmic Trading: Returns up to 13.24% 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 13.24% in just 7 Days. CME_WS1, and CME_CL1 also had excellent performances with returns of 12.34% and 12.34% 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 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 Price Forecast Based on Algo Trading: Returns up to 9.33% in 1 Month

In this forecast, 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 9.33% in just 1 Month. USO, and ^JPLAT also had excellent performances with returns of 8.76% and 8.65% 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 Price Forecast Based on Algo Trading: Returns up to 13.19% in 1 Month

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

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 Outlook Based on Artificial Intelligence: Returns up to 206.1% in 1 Year

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 206.1% in 1 Year. PALL, and Nickel had notable returns of 57.69% and 24.78%. The package had an overall average return of 27.5% 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.