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CR HOPE Foundation and Acuity Trading partnership


We are excited to announce our partnership with Acuity Trading, a global provider of AI data-driven trading tools, that will support our efforts towards poverty alleviation in Tanzania by promoting sports and providing education to children and youths in Zanzibar. The company is commiting to help us reach our current fundraising target of $85,000 before the end of 2019.

In their words: “News is the beating heart of Acuity’s business and whilst our focus is on analysing financial news for the investment community, it is hard to ignore the recurring headlines about poverty and particularly child poverty across the world,”  said Andrew Lane, CEO of Acuity Trading. “So when we learned that one of our closest associates in our industry had set up CR Hope Foundation, we felt compelled to get behind the initiative.”

“Although still relatively young as an organisation, Acuity’s partnership with CR Hope Foundation is the start of our CSR initiative which we hope to expand upon in the months and years ahead as the company grows,” says Nikki Carpenter, COO of Acuity Trading. “Acuity will be rolling out a number of marketing initiatives throughout 2019 with the aim of promoting CR Hope Foundation amongst industry peers with the hope that we can make the project a reality for the community of Zanzibar.””

We are delighted to have the support of Acuity Trading. With their charitable donations and awareness activities, we will reach our common goal. Being able to make phase one of our project a reality in 2020 would be a great milestone and the first step in delivering a lifetime of education to the children of Zanzibar.

About Acuity Trading

Acuity Trading is a financial technology company, extracting and analysing rich sentiment data from global news sources to provide the investment community with an alternative and unique view of the markets, delivered via powerful visualisations.

Founded in 2013 and headquartered in London, Acuity Trading uses sophisticated Machine Learning and Natural Language Processing technology to analyse millions of news items on a daily basis and quantify the mood of the market towards any given tradable instrument including global themes affecting the market.

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