Commodity Forecast Based on Genetic Algorithms: Returns up to 9.78% in 1 Month

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ICE_CC1 at 9.78%. CME_HO1 and CME_CL1 also performed well for this time horizon with returns of 6.76% and 5.78%, respectively. The package had an overall average return of 3.98% during the period.

Trend Prediction Algorithm Based on AI: Returns up to 3.92% 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. The greatest return came from ICE_CC1 at 3.92%. ICE_B1 and CME_LC1 also performed well for this time horizon with returns of 3.91% and 3.28%, respectively. The package had an overall average return of 1.61% during the period.

Commodity Prediction Based on Artificial Intelligence: Returns up to 5.34% in 7 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ICE_B1 was the highest-earning trade with a return of 5.34% in 7 Days. Additional high returns came from ICE_OJ1 and CME_LC1, at 3.70% and 3.37% respectively. Also, high returns came from CME_HO1 and ICE_CC5, at 2.77% and 2.32% respectively. The package had an overall average return of 1.54% during the period.

Commodites Price Forecast Based on Artificial Intelligence: Returns up to 8.44% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 8.44%. CME_HO1, and CME_CL1 had notable returns of 7.46% and 6.77%. The package had an overall average return of 3.89% during the period.

Commodities Price Outlook Based on Genetic Algorithms: Returns up to 7.77% in 14 Days

Commodities price forecasts from March 20th, 2018 until April 3rd, 2018.

Commodity Forecast Based on Genetic Algorithms: Returns up to 5.03% in 7 Days

During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ICE_CC5, at 5.03%. Further notable returns came from CME_HO1 and ICE_CC1 at 3.35% and 2.98%, respectively. Finally, returns came from CME_RB1 and CME_CL1 at 2.32% and 1.55%, respectively. The package had an overall average return of 1.62% during the period.

Commodites Price Predictions Based on Machine Learning: Returns up to 7.53% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 7.53%. CME_CL1, and CME_RB1 had notable returns of 5.14% and 4.60%. The package had an overall average return of 2.48% during the period.

Stock Market Trends Based on Genetic Algorithms: Returns up to 3.71% in 3 Days

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 3.71%. CME_HO1, and CME_CL1 had notable returns of 1.51% and 1.48%. The package had an overall average return of 1.16% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 5.15% in 1 Week

Commodities 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 commodities 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 […]

Arbitrage Trading Based on Machine Learning: Commodities Futures Return up to 6.95% in 3 Days

Commodities Futures: The left-hand graph shows the commodities futures predictor forecast from March 20, 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 March 20, 2018 to March 23, 2018. Package Name: Futures […]

Commodities Price Outlook Based on Machine Learning: Returns up to 5.02% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. USO was the highest-earning trade with a return of 5.02% in 3 Days. Additional high returns came from CME_CL1 and CME_RB1, at 4.54% and 3.41% respectively. The package had an overall average return of 1.83% during the period.

Algo Trading Based on Artificial Intelligence: Returns up to 22.01% in 1 Month

This Commodities Package forecast had correctly predicted 6 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 22.01%. ICE_CC5, and CME_SM1 had notable returns of 20.93% and 7.56%. The package had an overall average return of 5.19% during the period.

Commodites Price Predictions Based on Artificial Intelligence: Returns up to 10.57% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ICE_CC1, at 10.57%. The suggested trades for ICE_CC5 and ICE_CT1 also had notable 7 Days yields of 9.04% and 4.54%, respectively. Finally, positive returns came from CME_SM4 and CME_SM1 at 2.65% and 1.94%, respectively. The package had an overall average return of 2.04% during the period.

Commodities Outlook Based on Artificial Intelligence: Returns up to 10.84% in 7 Days

In this 7 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 Cocoa, which registered a return of 10.84%. Other notable stocks were ICE_CC1 and ICE_CT1 with a return of 10.57% and 4.54%. Finally, positive returns came from SOYB and BAL with a return of 2.35% and 0.58%. The package had an overall average return of 1.83% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 15.01% 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 ICE_CC1, at 15.01%. Further notable returns came from ICE_CC5 and CME_W5 at 12.72% and 6.02%, respectively. Finally, positive returns came from ICE_IS1 and CME_SM4 at 5.48% and 4.26%, respectively. The package had an overall average return of 3.45% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 9.80% in 7 Days

During the 7 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 ICE_CC5, at 9.80%. Further notable returns came from ICE_CC1 and CME_SM1 at 5.26% and 3.68%, respectively. Finally, positive returns came from CME_SM4 and CME_S1 at 3.40% and 2.94%, respectively. The package had an overall average return of 2.38% during the period.

Commodity Forecast Based on Artificial Intelligence: Returns up to 6.21% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. CME_W1 was the top performing prediction with a return of 6.21%. Cocoa and WEAT saw outstanding returns of 5.44% and 4.15%. ICE_CC1 and ICE_SB2 followed with returns of 3.62% and 3.61%, respectively. Next, ICE_CT1 and CME_NG1 showed the returns of 1.17% and 0.45% for the 3 Days period, respectively. The package had an overall average return of 2.19% during the period.

Swing Trading Based on Machine Learning: Returns up to 4.33% in 7 Days

The algorithm correctly predicted 9 out 10 of the suggested trades in the Futures Package for this 7 Days forecast. ICE_CC1 was the highest-earning trade with a return of 4.33% in 7 Days. Other notable futures were ICE_CC5 and CME_SM1 with a return of 3.04% and 2.66%. The package had an overall average return of 1.77%, providing investors with a 1.77% premium over the S&P 500’s return of 0.00% during the period.