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About

About

Hi, I’m Anton Wagner, engineer and MBA, data sciences and engineering professional and founder of ‘The Third Perspective’. My fixation with stock markets really spiked around 2009 with a master’s research that looked at the effects of seasonal affective disorder (SAD) in capital markets. Some techniques that were applied were multivariate linear regression and E-GARCH for a conditional capital asset pricing model (CAPM) . The general principle is that the marginal investor’s risk appetite is affected by SAD (basically winter depression!) and this affects the price of ‘market risk’. This could potentially be capitalised on in trading strategies between Northern and Southern hemisphere, adding additional growth to investments… not so boring! Over many years and to the day, this evaluation of a feature extended to many others and models were adapted to predict future stock price movements. Currently deploying state of the art machine learning and an wide range of model features with a reasonable accuracy, these models proofed to be a valuable input to the existing poles of Fundamental- vs Technical Analysis. Hope you find the daily trading ideas useful and let us unite in the quest to outperform the markets!

Recent Posts

  • AI Trading NYSE Sat, 09 Jan
  • AI Trading NASDAQ Fri, 08 Jan
  • AI Trading ASX Fri, 08 Jan
  • AI Trading NYSE Fri, 08 Jan
  • AI Trading NASDAQ Thu, 07 Jan

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    All data on this site and email subscriptions are purely for informational purposes and should be interpreted as trading ideas or suggestions. None of the information should be construed as advice to ‘buy’ or ‘sell’ stocks. If you are trading stocks, you are always at risk of losing value. There is no guarantee that any of our top trading ideas will perform well in the market. We do however provide you with the likelihood that it would, given the trading strategy and historic analysis (back-testing).  Although we made every effort to ensure the accuracy of the available data, us and involved data providers shall not be liable for any errors or delays in the content, or for any actions taken based on the content.

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