This blog post is the fourth in a series in which I integrate all of my personal financial accounts with LUSID - our open, API-first, developer friendly investment data platform - to get a comprehensive picture of my net worth. In this post I will demonstrate the benefit of having integrated financial data from four different sources including:
As it comes to the end of the year, we’ve taken a few minutes to look back on on 2019 – what we’ve achieved and where to for Team FINBOURNE next year. None of this would be possible without the support of our awesome employees, clients, partners and investors. A huge thank you to everyone who has been involved, not just in 2019 but for the last three years – what a journey so far.
TraderMade, a market leading vendor of FX research, data and charting applications, has signed a partnership with FINBOURNE Technology to make its data available on LUSID, the open investment data platform. TraderMade data is available without charge as part of the 90 day free evaluation period available to all clients that sign up to LUSID.
This blog post is the third in a series in which I integrate all of my personal financial accounts with LUSID - our open, API-first, developer friendly investment data platform - to get a comprehensive picture of my net worth.
Doing this allows me to aggregate my financial information in one place, perform powerful analysis and get a clearer picture of what I own, and what I owe.
We’re stoked to win ‘Best Buyside Newcomer’ at Waters’ Buy-Side Technology Awards for LUSID, our open, API-first and developer friendly investment data platform.
Last week the Bank of England (BoE) and Financial Conduct Authority (FCA) released the results of their Machine learning in UK financial services joint survey. The paper confirmed what most of us already know, which is that machine learning (ML) is being used increasingly in the investment management industry. But it also confirmed a lesser talked about fact - legacy systems and data limitations are major barriers to implementing an effective machine learning strategy. In this blog post, we explore how the right technology can help investment managers overcome these barriers.
This blog post is the second in a series in which I integrate each of my personal financial accounts with our investment data platform LUSID to get a comprehensive picture of my net worth. Doing this allows me to aggregate my financial information in one place, perform powerful analysis and get a clearer picture of what I own, and what I owe.
Increasingly diversified investment strategies, closure of mutual funds, the rise of passively managed funds and companies racing to consolidate. It’s easy to say the asset management industry is slow to change but when you look at it from the outside, it’s being pummelled by change in all directions.
This blog post is part of a series in which I’m going to integrate each of my personal financial accounts with LUSID to get a comprehensive picture of my net worth. Something I’ve wanted to do for a long time but never had the tools to achieve.
