Commodity Futures Based on Pattern Recognition: Returns up to 23.66% in 3 Months

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 Futures Based on Deep Learning: Returns up to 19.73% in 7 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 Futures Based on Genetic Algorithms: Returns up to 19.73% in 7 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 Futures Based on Big Data: Returns up to 12.7% 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 Futures Based on a Self-learning Algorithm: Returns up to 11.64% 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 Futures Based on Deep Learning: Returns up to 4.0% 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 […]

Price Outlook for Commodities Based on Deep Learning: Returns up to 8.35% in 3 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_W1 with a return of 8.35%. WEAT, and Cocoa had notable returns of 3.78% and 3.41%. The package had an overall average return of 2.17% during the period.

Forecast for Commodities Based on Artificial Intelligence: Returns up to 5.54% in 7 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_W1 was our best stock pick this week a return of 5.54%. CME_SM1 and CME_SM4 followed with returns of 5.21% and 4.76% for the 7 Days period. The package had an overall average return of 1.31% during the period.

Commodities Futures Predictions Based on Deep-Learning : Returns up to 6.95% in 3 Days

For this 3 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from ICE_OJ1, at 6.95%. The suggested trades for CME_SM1 and CME_SM4 also had notable 3 Days yields of 6.16% and 5.83%, respectively. Finally, positive returns were recognized on long position for ICE_KC1 an CME_O1 resulting in gains of 2.95% and 2.11%, respectively. The package had an overall average return of 2.25% during the period.

Commodity Prices Outlook Based on Predictive Analytics: Returns up to 8.95% in 3 Days

In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The top-performing prediction in this forecast was CME_SM1, which registered a return of 8.95%. Other notable stocks were CME_SM4 and ICE_KC1 with a return of 8.68% and 6.64%. The package had an overall average return of 3.50% during the period.

Commodities Market Predictions Based on Artificial Intelligence: Returns up to 5.54% in 7 Days

Commodities Market Predictions 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 commodities market predictions with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for […]

Commodity Outlook Based on Pattern Recognition: Returns up to 5.24% in 1 Month

This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was CME_LC1 with a return of 5.24%. SHFE_RU1, and CME_S1 had notable returns of 3.73% and 3.62%. The package had an overall average return of 2.13% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 19.08% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_NG1 at 19.08%. CME_LC1 and SHFE_RU1 also performed well for this time horizon with returns of 2.32% and 2.14%, respectively. The package had an overall average return of 1.96% during the period.
Historical Futures Prices: Natural Gas (Henry Hub) Physical Futures, Continuous Contract #1. Non-adjusted price based on spot-month continuous contract calculations. Raw data from CME.

Commodities Price Prediction Based on Algorithmic Trading: Returns up to 9.17% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 10 out 10 returns. The prediction with the highest return was CME_CL1, at 9.17%. Further notable returns came from CME_WS1 and CME_RB1 at 9.17% and 5.76%, respectively. The package had an overall average return of 3.31% during the period.

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 2.96% in 3 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CT1 was our best stock pick this week a return of 2.96%. CME_S1 and CME_S5 followed with returns of 2.76% and 2.36% for the 3 Days period. The package had an overall average return of 1.36% during the period.

Commodities Prices Forecast Based on Genetic Algorithms: Returns up to 3.70% in 3 Days

During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 5 out 10 returns. The prediction with the highest return was ICE_SB1, at 3.70%. Further notable returns came from CME_SM4 and CME_SM1 at 1.63% and 1.58%, respectively. The package had an overall average return of 0.75% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 13.09% in 1 Month

10 out of 10 commodities prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CC1 was our best commodity pick this week a return of 13.09%. CME_CL1 and CME_WS1 followed with returns of 10.02% and 10.02% for the 1 Month period. The package had an overall average return of 6.75% 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.