HeyJaredQuant Journey
Quantitative finance, systematic investing and investment technology - research, backtesting, financial data, portfolio systems and AI-native investment infrastructure.
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- Aug 31, 2026
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- Jul 9, 2026
Latest issues
Your AI agent can now buy financial research for one cent (opens the original)
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TL;DR: A shift is happening now in how financial intelligence is consumed. Instead of paying $100–$1,000+ per month for database access - or maintaining a persistent MCP connection - your AI agent can buy exactly one bounded, verifiable answer, with the freshness, evidence and lineage required to trust and use it, for as little as $0.01.In my previous article, I argued that the next customer of financial infrastructure may not be a human opening a dashboard, but an AI agent buying one reliable a
A2A Financial Agents — A New Business Model for Financial Intelligence (opens the original)
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For the last few years I have been building financial infrastructure inside QuantJourney: 60+ data integrations/connectors, APIs, data pipelines, our own financial warehouse, point-in-time datasets, analytics, portfolio and risk infrastructure, and MCPs.We have worked with hundreds of customers, and I have advised funds on quant, data and investment infrastructure. Most of this was originally built for humans — or at least for a quant sitting somewhere behind the API.Recently I started asking a
The Treasury Short Squeeze Setup: What We Are Watching Now (opens the original)
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A few months ago I wrote How to Trade Credit: High Yield, Treasuries, Spreads, and the Regimes That Actually Matter.The point of that post was simple: Treasuries should not be traded in isolation. You need to understand whether you are looking at a rates shock, a growth scare, an inflation shock, or genuine credit deterioration.Now we have something more specific to trade.There is an increasingly interesting setup developing in the long end of the U.S. Treasury market:Treasury is increas
One Week Out: The “GPT of trading” - Machine Learning Course by Alex (opens the original)
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In a week we are starting the first session of the ML course, so I thought I would share a few things for those that are still unsure if it’s for them.Reserve your seat here if you’re already convinced, otherwise, here’s a proper look at what’s inside!We start with data, and I mean really start with it. Not “here’s a CSV, go.” but actually looking at why raw price data is a trap for a financial model in the first place. We will talk about the differences between stationary and non-stationary dat
Course: Machine Learning for Quantitative Finance — Edition 2 (opens the original)
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Build real ML trading models in PyTorch — and learn how to test whether they actually work. The first edition of this course attracted more than 50 participants. For Edition 2, I rebuilt the course around PyTorch and added new material on order-book data, better labeling, and more rigorous validation.Over 5 live sessions, we will build ML models for financial markets from scratch — starting with clean market data and ending with a reinforcement-learning trading agent.No ML experience required. B
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