Welcome aboard! 🤝

I’m Quant Beckman, a Spain-based quantitative researcher. I currently serve a multi-family office and have partnered with cutting-edge ventures, multi-strategy pod shops, and specialized investment platforms that are redefining finance.

My mission is simple: solve million-dollar problems for funds and firms. I’ve engineered predictive models, built scalable infrastructure, and designed systematic investment strategies that convert raw data into lasting competitive advantage. Today those same skills power a broader vision—creating alternative funding pathways that free businesses from costly bank loans and inflexible mortgage structures.

Right now, I’m assembling a portfolio of AI- and DeFi-driven ventures at the intersection of technology and capital markets. Each company targets liquidity gaps and disconnected information pipelines with solutions designed to deliver both societal impact and superior risk-adjusted returns.

Over the next six to ten years, my goal is to weave these innovations into flexible financing rails that entrepreneurs worldwide can access when traditional banks can’t—or won’t—step up. By challenging legacy constraints, I aim to build a more agile, inclusive financial ecosystem.

This newsletter is designed to equip you with the same insights and resources that drive this mission—so you can stay ahead, make smarter decisions, and be part of a meaningful financial shift.

But first, who is this for?

1. Quants and algorithmic traders.

2. Systematic investors.

If you don't fit into one of these categories, please unsubscribe now.

What is the content of this newsletter?

• Data engineering and alternative data sources.

• Quant models and trading strategies.

• Infrastructure and technology architecture.

• Optimization, testing and simulation.

• Market intel and global macro research.

• Portfolio construction and asset allocation.

Not sure where to begin?

Here’s a quick roadmap to guide you through the highlights of this newsletter. 11/9/2025 (updated)

RESEARCH

• Basics: Quantitative modeling

• Quantitative research: Model development

DATA

• Basics: Data types and structures

• Get and store: Market data

• Preprocessing: Data cleaning, preparation and Quality standards

• Alternative bars: Tick, Dollar, Volume; Range, Renko, Filter, Volatility bars

MODELS

• Basics: What is a model and an algorithm?

• Rules: FURIA algorithm, RIDRA algorithm, RIPPER algorithm

• Clustering: batch models, graph models, online models

• Dependency: Generalized Gumbel copula

• Options: Iron Condor, Iron Butterfly, Straddles & Strangles

• Parameter Optimization: Walk-Forward, CPCV-opt

FEATURES

• Basics: Early feature selection

• FS online: Incremental feature selection

RISK

• Basics: RiskOps paradigm guide

• Allocation: Capital allocation to portfolio of systems

• Position sizing: Contract sizing and leverage

• Closing algorithm: Position manager

• Bailout algorithm: Circuit breaker

• Take profit & stoploss: Optimal targets

TESTING

• Basics: Components of the investigation

• Strategy evaluation: Historical backtest, testing and validation

• Metrics: Trading metrics and alternative metrics

• Synthetic data: Synthetic scenarios

PORTFOLIO

• Basics: Portfolio of uncorrelated systems

• Portfolio construction: Asset selection

• PM methods: Robust covariance estimation

CAREER

• Roadmap to become a Quant

• FAQs for quant roles and interview level

• Change career

• Experience working with quant teams

Through this newsletter, I’m excited to share the insights, strategies, and behind-the-scenes moments that shape my work. Whether you’re a curious investor or a seasoned quant, I’m here to challenge conventional thinking, inspire bold ideas, and guide you through the complex, ever-evolving world of quantitative finance.

Let’s explore the future together!

For now, buckle up—it’s gonna be a wild ride.

—Quant Beckman

Founder of Trading the Breaking

𝚃𝚛𝚊𝚍𝚒𝚗𝚐 𝚝𝚑𝚎 𝙱𝚛𝚎𝚊𝚔𝚒𝚗𝚐

𝙵𝚛𝚎𝚜𝚑 𝚝𝚊𝚔𝚎𝚜 𝚘𝚗 𝚀𝚞𝚊𝚗𝚝𝚒𝚝𝚊𝚝𝚒𝚟𝚎 𝚁𝚎𝚜𝚎𝚊𝚛𝚌𝚑, 𝙸𝚗𝚟𝚎𝚜𝚝𝚖𝚎𝚗𝚝 𝚊𝚗𝚍 𝙰𝙸

By 𝚀𝚞𝚊𝚗𝚝 𝙱𝚎𝚌𝚔𝚖𝚊𝚗

Thank you to all the special people who have decided to be part of the project and shared their thoughts: