Commodity Futures Outlook Based on Artificial Intelligence: Returns up to 13.12% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking stock advice. The best performance in the short position came from ICE_OJ1 which registered a return of 13.12%. For the long positions the largest growth was registered by CME_RB1 with a return of 5.54%, during the same period. The package itself, had an overall average return of 1.50%, in the long position, providing a premium of 0.11% over the SP500’s return of 1.39%. With regards to the short position, the package had an overall average return of 3.37%, providing investors with a premium of 1.98% over S&P500’s return of 1.39%. The I Know First’s Stock Market Algorithm accurately forecasted 7 out of 10 stocks, for the long position, and 10 out of 10 stocks, for the short position for this 14 Days forecasted period.

Commodities Price Forecast Based on Pattern Recognition: Returns up to 1.72% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. SHFE_RB2 was the highest-earning trade with a return of 1.72% in 3 Days. Additional high returns came from ICE_KC1 and SHFE_RB5, at 1.27% and 0.83% respectively. The package had an overall average return of 0.74% during the period.

Commodities Markets Trends Based on Artificial Intelligence: Returns up to 10.31% in 7 Days

In this 7 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 Nickel, which registered a return of 10.31%. Other notable stocks were ^JPLAT and GDX with a return of 5.48% and 5.41%. The package had an overall average return of 3.80% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 6.29% in 3 Days

Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. CME_CL1 was the top performing prediction with a return of 6.29%. GDX and ^JPLAT saw outstanding returns of 5.22% and 2.63%. The package had an overall average return of 2.15% 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 Forecast Based on Algo Trading: Returns up to 28.84% in 14 Days

During the 14 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. The prediction with the highest return was ICE_KC1, at 28.84%. Further notable returns came from SHFE_RU1 and SHFE_RB2 at 23.10% and 10.25%, respectively. The package had an overall average return of 4.11% during the period.

Commodities Market Review: Crude Oil Drops 19.16% Precious Metals Outlook Is Positive

Summary: Over the past three months The Philadelphia Gold and Silver Index (Ticker:XAU) have seen a positive increase of 7.13%. Coffee Futures (Ticker: ICE_KC1) saw a positive increase of 2.51% over the three-day period last week. Crude Oil (Ticker: CME_CL1) hit its lowest price for 2018 on Christmas day at $42.53 this is in line […]

Commodity Outlook Based on Machine Learning: Returns up to 6.38% in 7 Days

This Commodities Package forecast had correctly predicted 10 out of 10 stock movements. The top performing prediction from this package was Cocoa with a return of 6.38%. ICE_CC1, and SLV had notable returns of 6.03% and 5.68%. The package had an overall average return of 3.48% during the period.

Commodity Prediction Based on Machine Learning: Returns up to 4.49% in 3 Days

The algorithm correctly predicted 10 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_CC1 was the highest-earning trade with a return of 4.49% in 3 Days. Additional high returns came from Cocoa and SLV, at 4.49% and 4.08% respectively. The package had an overall average return of 2.66% during the period.

Commodity Outlook Based on Big Data Analytics : Returns up to 6.03% in 7 Days

I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 7 Days time period. The greatest return came from ICE_CC1 at 6.03%. Cocoa and SLV also performed well for this time horizon with returns of 6.03% and 4.95%, respectively. The package had an overall average return of 3.06% during the period.

Commodities Price Forecast Based on Genetic Algorithms: Returns up to 6.96% in 3 Days

Commodities Price Forecast This Commodities Price Forecast Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodities Price Outlook with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short […]

Commodity Markets Expectations Based on Algorithmic Trading: Returns up to 2.69% in 3 Days

During the 3 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from Coffee which registered a return of 3.40%. For the long positions the largest growth was registered by PALL with a return of 2.69%, during the same period. The package itself, had an overall average return of 0.81%, in the long position. With regards to the short position, the package had an overall average return of 1.07%. The I Know First Algorithm accurately forecasted 9 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 3 Days forecasted 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.

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.

Commodity Forecast Based on Algorithmic Trading: Returns up to 12.07% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from ICE_KC1 at 12.07%. ICE_SB1 and Coffee also performed well for this time horizon with returns of 9.98% and 7.99%, respectively. The package had an overall average return of 2.87% during the period.

Pages:12»