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 Market Review: Natural Gas Spikes 19.06% Amid Sudden Cold Snap

Summary: Over the past 14 days Natural Gas (CME_NG1) is up 19.08% (1st Jan to 15th Jan). Natural Gas has experienced an increased level of volatility of late. Over the same 14-day period live Cattle Futures (CME_LC1) are up 2.32%. With the start of January, we are seeing the new wave of summer cattle however, […]

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.

Gold Forecast Based on Artificial Intelligence: Returns up to 8.02% in 3 Days

Gold Forecast This Gold forecast is part of the Commodities Package, one of I Know First’s algorithmic trading solutions. This package gives Gold Predictions predictions for Gold and other precious metals for the various forecasted time frames and includes our algorithmic outlook for: Gold ETF (GLD) direction Physical Gold (XAU) direction Silver (XAG) direction Oil […]

Commodities Price Prediction Based on a Self-learning Algorithm: Returns up to 35.50% in 3 Months

5 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was our best stock pick this week a return of 35.50%. PALL and CME_NG1 followed with returns of 32.40% and 27.50% for the 3 Months period. The package had an overall average return of 2.13% during the period.

Commodities Market Review: Platinum Jumps 35.05% and Natural Gas Continues to Rise

Summary: Platinum (^JPLAT) rose by 35.50% over the past three months. Natural Gas (CME_NG1) rose by a whopping 49.04% over the past three months. As weather-related natural gas demand increased, relatively low levels of natural gas in storage likely contributed to price increases. Source: Wikimedia In this week’s forecast Platinum (^JPLAT) rose by 35.50% over […]

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 46.40% 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 46.40%. ^JPLAT and PALL saw outstanding returns of 34.99% and 29.74%. The package had an overall average return of 4.20% during the period.

Commodities Forecast Based on Artificial Intelligence: Returns up to 49.04% in 3 Months

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 49.04%. ^JPLAT and PALL followed with returns of 35.50% and 30.17% for the 3 Months period. The package had an overall average return of 5.03% during the period.

Commodity Forecast Based on Self-learning Algorithm: Returns up to 15.08% in 1 Month

During the 1 Month 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 PALL, at 15.08%. Further notable returns came from NaturalGas and CME_NG1 at 12.15% and 11.21%, respectively. The package had an overall average return of 1.97% during the period.

Commodities Forecast Based on Algorithmic Trading: Returns up to 46.25% 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 46.25%. ^JPLAT and PALL saw outstanding returns of 38.33% and 31.98%. The package had an overall average return of 3.74% during the period.

Commodities Markets Analytics Based on AI: Returns up to 18.50% in 1 Month

During the 1 Month forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ICE_B1 which registered a return of 14.55%. For the long positions the largest growth was registered by CME_NG1 with a return of 18.50%, during the same period. The package itself, had an overall average return of 2.37%, in the long position. With regards to the short position, the package had an overall average return of 9.86%. The I Know First Algorithm accurately forecasted 5 out of 10 commodities, for the long position, and 9 out of 10 commodities, for the short position for this 1 Month forecasted period.

Commodities Prices Analysis Based on Data Mining: Returns up to 9.09% in 14 Days

During the 14 Days forecast, the algorithm had predicted high returns for those seeking investment ideas. The best performance in the short position came from ^XNG which registered a return of 6.36%. For the long positions the largest growth was registered by PALL with a return of 9.09%, during the same period. The package itself, had an overall average return of 2.13%, in the long position. With regards to the short position, the package had an overall average return of 2.06%. The I Know First Algorithm accurately forecasted 8 out of 10 commodities, for the long position, and 7 out of 10 commodities, for the short position for this 14 Days forecasted period.

Commodities Predictions Based on Pattern Recognition: Returns up to 63.72% in 3 Months

During the 3 Months 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 CME_NG1, at 63.72%. Further notable returns came from NaturalGas and ^JPLAT at 57.31% and 29.61%, respectively. The package had an overall average return of 11.55% during the period.

Commodity Forecast Based on Big Data: Returns up to 9.62% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from PALL at 9.62%. CME_NG1 and NaturalGas also performed well for this time horizon with returns of 5.50% and 4.01%, respectively. The package had an overall average return of 3.21% during the period.
Providing focused exposure to palladium, which it physically holds in JPMorgan vaults in London and Zurich, PALL earns a perfect Fit score as it exactly tracks the movements in palladium spot prices. It trades decently in terms of volume, but the spreads can be a real issue. Block liquidity is strong, so institutional investors wanting to create new shares can do so at relatively low cost and without impacting the price of palladium. The expense ratio is on the high side of the physically backed precious metals ETF market, but it’s still competitive priced. More importantly, this is really the only game in town if you want focused palladium exposure

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.

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