Dive into our vast investment data and research in a flexible coding environment. Using Python, you can rigorously analyse investments and discover new opportunities.
Analytics Lab makes it easy to create customised interactive research that can include analytics, data visualisations and research narratives. You can discover new insights and share them with your firm’s Direct users, with the appropriate licensing.
Drag, drop and dig deeper. We built time-saving features into Analytics Lab to simplify the often-lengthy process of finding data and developing code. Drag-and-drop capabilities automatically insert Python code from Direct datasets, lists, search criteria, custom-created portfolios and performance reports, so you know the code is robust and correct.
Colleagues with Direct can use all the interactive research you create. Using Analytics Lab requires proficiency in Python, but you don’t need Python skills to interact with research from other users. You can also analyse a library of Interactive Research created by our analysts and research teams.
Fast results for 10 lines of code or 10,000. Analytics Lab’s hosted environment can scale based on computing needs — while analytics run on other platforms can be brought to a standstill when faced with complex calculations, Analytics Lab provides more power on demand to produce quicker results.
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Morningstar Australasia Pty Limited (ABN 95 090 665 544, AFSL 240892) and Morningstar Research Ltd are subsidiaries of Morningstar, Inc. Morningstar Investment Management Australia Limited (ABN 54 071 808 501, AFSL 22896) is the Responsible Entity and issuer of the Morningstar Investment Funds. Morningstar Australasia Pty Limited and Morningstar Research Ltd do not publish qualitative research on Morningstar Investment Management Australia Limited’s products and do not endorse, issue, sell or promote those products. No guarantee is provided in relation to capital repayment, income or performance. Past performance is not a reliable indicator of future performance.