Commodity Forecast Based on a Self-learning Algorithm: Returns up to 9.91% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was PALL, which registered a return of 9.91%. Other notable stocks were GDX and CME_NG1 with a return of 4.34% and 4.18%. The package had an overall average return of 3.11% during the period.

Commodity Prediction Based on Genetic Algorithms: Returns up to 61.67% in 3 Months

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Months forecast. CME_NG1 was the highest-earning trade with a return of 61.67% in 3 Months. Additional high returns came from NaturalGas and PALL, at 55.86% and 26.24% respectively. The package had an overall average return of 10.85% during the period.

Commodities Forecast Based on Genetic Algorithms: Returns up to 7.68% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from PALL at 7.68%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 4.92% and 3.68%, respectively. The package had an overall average return of 2.36% during the period.

Commodities Price Prediction Based on Machine Learning: Returns up to 52.85% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 5 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 52.85%. NaturalGas and PALL saw outstanding returns of 46.94% and 25.69%. The package had an overall average return of 5.17% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 2.81% in 7 Days

8 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_S1 was our best stock pick this week a return of 2.81%. SHFE_RU1 and CME_S5 followed with returns of 2.71% and 2.38% for the 7 Days period. The package had an overall average return of 1.18% during the period.

Commodities Market Expectations Based on a Self-learning Algorithm: Returns up to 36.95% in 1 Month

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_NG1 was our best stock pick this week a return of 36.95%. NaturalGas and ^JPLAT followed with returns of 32.26% and 8.88% for the 1 Month period. The package had an overall average return of 5.03% during the period.

Commodity Prices Forecast Based on Data Mining: Returns up to 12.92% in 3 Days

In this 3 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 NaturalGas, which registered a return of 12.92%. Other notable stocks were CME_NG1 and KOL with a return of 12.78% and 2.88%. The package had an overall average return of 2.45% during the period.

Commodities Predictions Based on AI: Returns up to 15.32% in 7 Days

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. NaturalGas was our best stock pick this week a return of 15.32%. CME_NG1 and PALL followed with returns of 14.87% and 5.61% for the 7 Days period. The package had an overall average return of 3.39% during the period.

Commodities Markets Prediction Based on Algorithmic Trading: Returns up to 31.97% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 5 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 31.97%. PALL and ^JPLAT saw outstanding returns of 7.71% and 2.46%. The package had an overall average return of 3.29% during the period.

Commodities Prices Forecast Based on Stock Prediction Algorithm: Returns up to 46.91% in 3 Months

Several predictions in this long-term 3 Months forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. CME_NG1 was the top performing prediction with a return of 46.91%. NaturalGas and ^JPLAT saw outstanding returns of 40.91% and 32.16%. The package had an overall average return of 9.56% during the period.

Commodities Market Review: Natural Gas and Coffee See Biggest Gains Of 13.11%

Commodities Market Review: Natural Gas and Coffee See Biggest Gains Of 13.11% Summary: Natural Gas Price Spike Amid Low Early Season Supply Lowest Gas Reserves in over 15 Years World Coffee Exports led by a 3.1% increase Past I Know First Algorithm Gas and Coffee Forecasts Natural Gas Price Spike Amid Low Early Season Supply […]

Commodities Market Forecast Based on Genetic Algorithms: Returns up to 13.11% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_NG1 with a return of 13.11%. NaturalGas, and ICE_KC1 had notable returns of 10.01% and 6.10%. The package had an overall average return of 2.42% during the period.

Commodity Forecast Based on Stock Prediction Algorithm: Returns up to 9.82% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from CME_NG1 at 9.82%. Uranium and IYM also performed well for this time horizon with returns of 3.64% and 1.52%, respectively. The package had an overall average return of 1.88% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 12.70% in 1 Month

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_NG1 with a return of 12.70%. ICE_KC1, and Coffee had notable returns of 12.25% and 9.49%. The package had an overall average return of 2.61% during the period.

Commodities Price Forecast Based on Algo Trading: Returns up to 11.99% in 7 Days

This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was CME_NG1 with a return of 11.99%. ICE_KC1, and ICE_CC1 had notable returns of 5.08% and 3.28%. The package had an overall average return of 2.09% during the period.

Commodities Market Forecast Based on Artificial Intelligence: Returns up to 21.22% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 4 out of 10 movements. The highest trade return came from ICE_KC1, at 21.22%. The suggested trades for CME_O1 and CME_NG1 also had notable 1 Month yields of 17.39% and 7.89%, respectively. The package had an overall average return of 3.87% during the period.

Commodities Outlook Based on AI : Returns up to 12.07% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ICE_KC1, which registered a return of 12.07%. Other notable stocks were Coffee and ICE_SB1 with a return of 12.07% and 9.98%. The package had an overall average return of 3.73% during the period.

Commodity Prediction Based on AI : Returns up to 28.61% 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_SB1 with a return of 28.61%. CME_O1, and CME_NG1 had notable returns of 18.57% and 9.21%. The package had an overall average return of 6.07% during the period.
Sugar No. 11 Futures, Continuous Contract #1.

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