Want to level up your trading?
Learning to code is the fastest way to gain edge in the market, but nobody is teaching it the right way for traders.
We're a team of quants and engineers on a mission to fix this by helping traders turn better technology into better profits.
The Quants Run Wall Street Now
"For decades, investors imagined a time when data-driven traders would dominate financial markets. That day has arrived."
The Wall Street Journal
Jim Simons was a former mathematician who realized he could use computers to automate commodities trading. Most people thought he was nuts, but the results spoke for themselves.
His computer-driven approach delivered outstanding returns of 66% per year for 30+ years, and his success ushered in a new industry. Three decades later, computers drive trillions of dollars in trading each year and every firm on Wall St. has adopted technology in its trading operations.
Now traders who can code are in high-demand, commanding average salaries of $200K+ and bonuses in the range of 6-7 figures with only a few years of experience. That's how valuable and powerful the coding skillset is in the world of financial markets.
Why Is Coding So Valuable For Traders?
Code doesn't get tired, make mistakes, or miss opportunities.
Elevate Your Processes
Regardless of your market, approach, or experience, technology improves your analysis and efficiency as a trader, providing a substantial edge to the way you work.
Automate Your Approach
You don't have to be a quant to reap the rewards of coding. Python can automate each step of the trading process including research, analysis, execution, and risk management.
Level Up Your Trading
Coding is the catalyst to take your trading to the next level. Your new skills will unlock an entirely new class of automated strategies that exist beyond the capability of any manual trader.
Unfortunately, Learning to Code as a Trader is Broken
The Journey is Incredibly Hard
Dozens of challenges stand in the way of most traders when they begin learning to code. Time constraints, changing landscapes, stale content, and debugging all cause frustrations, especially when the content is generic with no ties to useful applications in trading.
Existing Resources Don't Cut It
Most existing materials just aren't enough. They lack real-world examples, don't focus on trading applications, and have limited hands-on coding exercises. Generic lessons fail to address the unique and specific challenges that traders face when applying technology to their field.
Our Mission
Our mission is to reinvent the way traders learn to code so they get maximum value with minimum headache.
We know the pain of bouncing from course to course, investing the time but never making any progress. Going through that experience inspired us to build the program we wish we had when we began in the world of automated trading.
The benefits of learning to code are real: better job opportunities, better P&L, and a better lifestyle. Our goal is to guide you along the path to get there, so you reach the destination in just 90 days of starting your learning journey.
For many of you, we know this may not be your first Python course. But if we're successful, we do hope that it's your last.
The Python for Traders Masterclass
Including 8 modules, 4 projects, and 100+ lessons that takes you from total amateur to algorithm expert
- Python Fundamentals for Finance
- Working with Financial Data in Python
- Trading Algorithm Design Principles
- Build & Backtest a Real Trading Algorithm
- Automation & Analysis in Python
- Analyzing Fundamental Data using Natural Language Processing
- Options and Derivatives Pricing
- Plot 3D Volatility Surface Models
- Basics of High-Frequency Trading and Market Making
- Implement a Limit Order Book Data Structure
- Build a Customizable Market Making Bot
PLUS Full Access to the Python for Traders Community and Network
And for a limited time, you can get started risk-free.
Click below for curriculum details and access to FREE lessons: