After writing the previous article, What is a Financial Product at all?, I originally planned to move directly into a concrete overview example of ISDA CDM. However, while researching the semantic layer of QuantFlow, I came across an article about ontology modelling and AI-native applications. Although the article is not specifically about finance, I found … Continue reading AI-Native Financial Data Foundation (4) – Literature Review: From Ontology to AI-Native Applications
Category: *AI-Native Financial Data Foundation
AI-Native Financial Data Foundation (3) – What is a Financial Product at all?
A few years back, I made an attempt to define and classify financial products from a data modelling perspective. I wrote about this in one of my earlier blog posts, Buy-Side Financial Data Models (2) – Financial Instruments. At that time, I organised financial instruments using a framework based on asset classes, derivative types, and … Continue reading AI-Native Financial Data Foundation (3) – What is a Financial Product at all?
AI-Native Financial Data Foundation (2) – FICC Canonical Data Model
In the previous post, I talked about why my thinking around QuantFlow has changed. The short version is that I am starting to believe that the future users of many financial data platforms may not be human quants, analysts, or engineers directly. Increasingly, the real users may be AI agents. However, there is one important … Continue reading AI-Native Financial Data Foundation (2) – FICC Canonical Data Model
AI-Native Financial Data Foundation (1) – Why I Started this Blog Series, and What Happens to QuantFlow
Since last year, my belief system around technology, skills, AI, and even the usefulness of myself has been changing. Not slowly evolving, but changing. I have always seen myself as a highly rational and logical person. I do not easily get influenced by hype slogans such as 'AI will replace everyone'. Even a few months … Continue reading AI-Native Financial Data Foundation (1) – Why I Started this Blog Series, and What Happens to QuantFlow
I Was Wrong: the Users of QuantFlow Won’t be Human
I have been planning the UX components and research engine for QuantFlow. I thought both would become key pillars of the platform. The UX layer would simplify how engineers build data pipelines and how quants interact with data. The research engine would automate large parts of the quant research workflow, allowing users to focus on … Continue reading I Was Wrong: the Users of QuantFlow Won’t be Human
Buy-Side Financial Data Engineering (3) – Market Data Management
Buy-Side Financial Data Engineering (1) - Overview Buy-Side Financial Data Engineering (2) - Financial Instruments Buy-Side Financial Data Engineering (3) - Market Data Management As a data guy, two thoughts immediately come to my mind when I hear the term "Finance Market Data", 1) They are bloody expensive; 2) What a chore to handle all … Continue reading Buy-Side Financial Data Engineering (3) – Market Data Management
Buy-Side Financial Data Models (2) – Financial Instruments
Buy-Side Financial Data Engineering (1) - Overview Buy-Side Financial Data Engineering (2) - Financial Instruments Buy-Side Financial Data Engineering (3) – Market Data Management The second article of my "Buy-Side Financial Data Models" focuses on the "Financial Instruments" data domain. Financial instruments data is complex and difficult to manage. In the meantime, it is crucial to … Continue reading Buy-Side Financial Data Models (2) – Financial Instruments
Buy-Side Financial Data Models (1) – Overview
Buy-Side Financial Data Engineering (1) - Overview Buy-Side Financial Data Engineering (2) - Financial Instruments Buy-Side Financial Data Engineering (3) – Market Data Management This is the first blog post of the "Buy-Side Financial Data Models" series I am planning to write. To kick off this blog series, this post provides a high-level overview of the … Continue reading Buy-Side Financial Data Models (1) – Overview
Data Ninjago (Financial Data Architecture) 
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