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IndexMath – Successfully Predicting Stock Market Trends

A unique algorithm that is successfully predicting UK stock market trends has been developed by an independent analyst from Scotland.

Online PR News – 07-March-2017 – The IndexMath algorithm, which has taken several years to develop, analyses recurring and counterintuitive mathematical patterns in the UK’s FTSE All-Share Index. This analysis is now being used to successfully predict trends in this index.

Founder of 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 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 come up with a data-driven algorithm that predicts short to medium term trends in this index. So far, my results have been very exciting. My daily analysis will continue in the hope of increasing the algorithms predictive power. As always, I am striving to provide my followers with an accurate and invaluable insight into the UK stock market.”

Company Contact Information
Paul Smith
+44 (0) 7788366675

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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