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.

Gold News: Gold On Lows While Awaiting Fed Decision

In the latest gold news: As of March 19 at approximately 11:44am EST, gold was trading at $1316.02 per ounce

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.

Gold News: Positive Jobs Report Boosts Dollar

In the latest gold news: As of March 12 at approximately 9:09am EST, gold was trading at $1318.40 per ounce

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.

Gold News: Gold Experiences Sharp Drop Following Fed Comments

In the latest gold news: As of March 05 at approximately 1:12pm EST, gold was trading at $1318.94 per ounce

Commodity Forecast Based on Machine Learning: Returns up to 13.11% in 14 Days

9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_IW1 was our best stock pick this week a return of 13.11%. ICE_CC5 and CME_SM4 followed with returns of 7.02% and 6.82% for the 14 Days period. Next, CME_SM1 and ICE_IS1 showed the returns of 6.52% and 4.99% for the 14 Days period, respectively. The package had an overall average return of 4.67% 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.

Commodity Prediction Based on Predictive Analytics : Returns up to 1.25% in 3 Days

3 out of 3 top stock picks from the algorithm decreased as predicted for this short-term forecasting period. XAG saw monumental growth of 1.25% in just 3 Days. XAU, and GLD also had excellent performances with returns of 1.03% and 0.90% respectively. The package had an overall average return of 1.06%, providing investors with a premium of 1.06% over the S&P 500’s return of 0.00% during the same 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.

Automated Commodities Trading Based on a Self-learning Algorithm: Returns up to 3.15% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 10 out of 10 stock movements. ICE_CC1 was the top performing prediction with a return of 3.15%. ICE_CC5 and CME_SM1 saw outstanding returns of 3.03% and 2.55%. The package had an overall average return of 1.52% during the period.

Algo Trading Based on Machine Learning: Returns up to 12.89% in 14 Days

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ICE_CC1 was the highest-earning trade with a return of 12.89% in 14 Days. Additional high returns came from CME_SM1 and CME_SM4, at 8.02% and 6.61% respectively. The package had an overall average return of 3.40% during the period.

Gold News: Investors Awaiting Federal Reserve Policy

In the latest gold news: As of February 26 at approximately 12:45pm EST, gold was trading at $1330.51 per ounce

Commodites Price Forecast Based on Machine Learning: Returns up to 9.22% in 14 Days

Commodity Forecast from February 02nd, 2018 to February 25th, 2018 based on I Know First forecast algorithm.

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