About

Programming

For the past 7 years, I have been driven by programming and investing.

How it started

Building trading algorithms is a trend many junior developers have followed.

Who wouldn't dream about earning money in the market anytime of the day.

This path taught me a lot about APIs, algorithms and optimization. It drove me to learn about quantitative finance and machine learning.

Soon I began developing a seasonal strategy rooted in fundamental company analysis. I used LLMs to quickly analyze thousands of 10Ks and filter companies suited for the strategy.

Discretionary trading

Without experience in discretionary trading, no one would ever build a sustainable strategy. You have to understand the basics of macro-economy, market manipulations and orderbook analysis.

So in 2023, I started learning about discretionary trading and practicing everyday. For the past 2 years, I've been focused on discretionary trading strategies for US stocks, leveraging volume profile and orderbook analysis.

I find quantitative trading and machine learning to be fascinating fields that continue to inspire and drive my innovation.

My Passion for Open Source and Knowledge Sharing

I'm deeply committed to open source and the free exchange of knowledge. Contributing to the community is one of my core values.

My first startup

This passion led me to create App-Prove (opens in a new tab), a cybersecurity startup aimed at making the audit process more efficient, accessible, and user-friendly for everyone.

This experience taught me a lot about entrepreneurship, product development and user experience. But also the difficulties of building a startup. Project ended after 8 months of work. Many other startups focusing on the same pain point were launching at the same time and I had to recognize my lack of experience.

When it clicks

Realizing that I could build a startup in a domain I had some knowleddge about, I started to build Deltalytix (opens in a new tab), a tool for traders to track their performance and quantitative tools.

Now I'm using my academic knowledge to create tools that help traders make better decisions.

Sharing my thoughts

Every week, I share my thoughts on Substack (opens in a new tab). Here you can find some of my posts:

Current Projects

Trading and Investing

• Deltalytix (opens in a new tab): Empowering traders with performance tracking and quantitative tools
• SteinPrograms (opens in a new tab): Developing quantitative automated trading strategies and a cutting-edge news API

Technical Expertise

Python for Machine Learning and Data Analysis

• Machine Learning (Regression, decision trees, and classification)
• API development (using FastAPI (opens in a new tab))
• Large Language Models (Prompt templating, langchain)

TypeScript for Web Development

• NextJS
• TailwindCSS
• Shadcn
• Lucid
• Vercel
• Supabase

Continuous Learning

I'm always eager to expand my skills. Currently, I'm exploring:

• Rust: For fast and secure code development
• Michelson: To build smart contracts on the Tezos blockchain

• Twitter @hugodemenez (opens in a new tab)
• GitHub @hugodemenez (opens in a new tab)
• Email hugo@steinprograms.com