Learn Python for Algorithmic Trading
Reduce emotions and screen time with automated trading
"The Quants Run Wall Street Now"
- The Wall Street Journal
David Shaw was a Stanford biologist who founded one of the first “statistical arbitrage” firms in 1988. His quant trading firm, D.E. Shaw & Co. manages over $50B today.
Jim Simons was a mathematician who founded Renaissance Technologies, the world’s first quantitative hedge fund. His computer-driven trading approach earned ~66% returns per year over 30+ years.
Ed Thorp was a MIT professor who discovered card counting as a way to win at Blackjack. He applied the same mindset to the markets, creating millions in profits through Princeton/Newport Partners.
The Algorithmic Trading Advantage
Great technology can boost P&L while reducing screen time and stress
👨 Human Trading
Emotional Decision Making
Fear and greed lead to impulsive trades and poor decisions
Gut Feel Trading
Relying on intuition without statistical validation
Limited Trading Hours
Can only trade when physically present at the computer
Inconsistent Execution
Strategy execution varies based on mood and energy
🤖 Algorithmic Trading
Emotionless Trading
Executes strategy without emotional interference
Data-Driven Decisions
Every trade backed by statistical analysis
24/7 Trading
Trades automatically around the clock
Perfect Consistency
Executes exactly the same way every time
We've helped 100+ traders level up with Python
Follow a proven process with everything you need in one place
Step-by-Step Learning
Follow a proven roadmap to learn how to build your own trading algorithms with Python. Information-dense and actionable video tutorials that focus on practice over theory.
Supportive Community
Connect with fellow algo traders and learn from their experiences. Get human support, guidance, and accountability from others in your position.
Ready-to-Use Code Templates
Get ready-to-use code templates to help you get started. Take advantage of community collaboration to save time and get your trading strategies off the ground faster.
Build Your First Trading Bot
Join our free Bot Building Challenge and build your first trading bot from scratch in a week. Get started with algorithmic trading in just one hour per day.
Join the Free Challenge
Follow along with step-by-step video tutorials and downloadable code
The Masterclass
Become a Python-Powered Trader in 6 Weeks
Python Foundations
Master the basics of Python programming with a focus on data analysis and financial applications. Build a strong coding foundation for algorithmic trading.
Quant Trading 101
Learn core quantitative trading concepts, strategy development, and risk management principles for systematic trading.
Market Data Mastery
Work with real market data, learn data processing techniques, and develop indicators for technical analysis.
Backtesting Bootcamp
Build and validate trading strategies through historical testing. Learn to analyze and optimize strategy performance.
Bot Building
Develop live trading bots that can execute trades automatically. Connect to brokers and handle real-time data streams.
Capstone Project
Build your own complete trading system from scratch. Deploy and monitor your strategy in live market conditions.
Quant Resource Library
Get access to our curated collection of quant trading resources and strategy breakdowns.
Quant Career Guide
Learn how to land a job in quantitative trading. Includes resume templates, interview prep, and networking strategies for quant roles.
Community Trading Bot
Get exclusive access to our community-maintained trading bot. Learn from real production code and contribute to its development.
Learn and Grow with the Community
Support
Connect with fellow algo traders, share strategies, and build valuable relationships in the quant trading space.
Accountability
Access exclusive educational content, live workshops, and learn directly from experienced quant traders.
Growth
Accelerate your trading journey through collaborative projects and mentorship opportunities.
Frequently Asked Questions
Still not sure?
We run a free challenge to help beginners build their first trading bot in Python.
It's fun, free, and takes just 1 hour per day.
What do you have to lose?
Join the Challenge