Now accepting new clients
I help traders, asset managers, and financial professionals build tools with Python. Offering free tutorials, paid consulting, mentorship programs, and more.
Ready to take your trading to the next level but not sure if we're a good fit? Schedule a free 15-minute intro call.
A la carte consultations ideal for traders needing targeted advice and custom strategy development.
For those interested in ongoing mentorship, I offer discounted rates for bulk hours.
"QuantMentor has saved me a lot of time and effort. I can now focus on my trading strategy logic more and let him handle the coding. Now I have a trading engine infrastructure and brokerage connections that I can replicate for new strategies very easily."
A plan perfect for traders who benefit from regular check-ins and continuous learning. Get weekly one-hour consulting sessions and join the community for additional support and resources.
If you have a fixed or custom scope of work / project in mind, I can provide a quote based on your requirements.
Time is your most valuable asset.
Trading is not just about having a strategy; it's about implementation, iteration, and speed.
Self-learning Python and trading algorithms can be fulfilling, yet the journey is long and winding.
My goal with QuantMentor is to propel you forward, offering direct pathways to practical application, saving you from the pitfalls of generic tutorials and disjointed learning.
I heavily encourage learning — and my goal is to make it impactful.
When you join QuantMentor, you step into a world where education meets execution.
My mentorship model is designed for real-world application.
You don't just learn Python; you learn to make Python work for you specifically in quant finance.
Hello there! My name is Bailey.
I'm the founder of QuantMentor.
I've been writing code for over 12 years and have been trading actively in the markets for over 5 years.
It was Ray Dalio's ideas on computerized decision-making that really sparked my initial interest in systematic trading.
I had been trading for a few years before that, but it was his insights on utilizing computers to remove human emotion from the decision-making process that really resonated with me.
I've been building trading systems ever since.
Originally, trading started as a hobby. I stumbled across some simple arbitrage opportunities in the crypto markets and started building bots to automate order execution.
At the time, speed was everything, but I was also lucky to be in the right place at the right time, with a solid background in web scraping and automation.
I was able to capitalize on these opportunities and build a profitable trading system that made money for me automatically for about 6 months before the inefficiencies were arbitraged away by other market participants.
This was my first taste of systematic trading, and I was hooked.
I started trying to learn everything I could about quantitative finance, algorithmic trading, and machine learning.
I read every book I could get my hands on, watched every video, and took every course I could find.
In my day job, I was also building web applications and working with data, so I was able to apply a lot of the concepts I was learning to my work. At one point for a project I was working on, my team and I build a trading app on top of Alpaca's Broker API.
As time went on, I started to get more and more interested in the intersection of technology and finance both for my day job and for my personal trading.
I started to build more complex trading systems, screeners, and classifiers - and really started to experiment with different strategies and algorithms. I also started to get more involved in various trading communities and forums, and started to share my ideas and strategies with others.
This was the birth of QuantMentor. I noticed a lot of people were interested in learning how to build trading algorithms and had ideas on the finance side, but didn't know where to start on the tech side.
Since then, I've been offering my services as a mentor to help others learn how to design, build, evaluate, and optimize trading strategies.