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IndexMath.com – Successfully Predicting Stock Market Trends

IndexMath.com – Successfully Predicting Stock Market Trends

A unique algorithm that is successfully predicting UK stock market trends has been developed by a stock market enthusiast from Scotland.

Online PR News – 07-March-2017 – The algorithm, which has taken several years to develop, utilises a counterintuitive and obscure mathematical law to analyse the UK stock market.

Founder of start-up IndexMath, Paul Smith, believes his approach to stock market analysis to be unique, perhaps even revolutionary. Paul, 36, previously studied maths and physics at the University of Edinburgh, and his interest in numbers and the stock market has never gone away.

“Since my teenage years, I have always been fascinated by the stock market. Tedious as it may sound, I enjoy studying stock market data and finding patterns. My efforts have been worth it! After spending years analysing the FTSE All-Share Index, I believe that I have now come up with a unique data-driven algorithm that can predict short to medium trends in this index. My results speak for themselves. My trend predictions have been 100% correct so far. I plan on continuing my analysis to hopefully increase the predictive power of my algorithm, and I will always strive to offer my followers an accurate and invaluable insight into the UK stock market.”

Company Contact Information
Paul Smith

About Yesenia Barboza

Yesenia Barboza
My name is Yesenia Barboza. I have been in online marketing and business since 2005. Since that time, I have managed several websites and blogs while establishing a successful strategy business coaching program. Most of my clients and students range from start up businesses up to companies that want to expand the growth of their existing business.

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