Learn Python for Algorithmic Trading

Reduce emotions and screen time with automated trading

4.96/5 (121 reviews)
"Another brilliantly written and well-explained Python for Traders course."
- Stephen P., Independent Trader
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"The Quants Run Wall Street Now"

- The Wall Street Journal

David Shaw

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.

James Simons

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

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 courses

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

Supportive Community

Connect with fellow algo traders and learn from their experiences. Get human support, guidance, and accountability from others in your position.

Code templates

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.

Join 100+ in the Algorithmic Trading Community
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Get Started for Free

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
Bot Building Challenge Preview

Follow along with step-by-step video tutorials and downloadable code

The Masterclass

Become a Python-Powered Trader in 6 Weeks

Week 1

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.

Week 2

Quant Trading 101

Learn core quantitative trading concepts, strategy development, and risk management principles for systematic trading.

Week 3

Market Data Mastery

Work with real market data, learn data processing techniques, and develop indicators for technical analysis.

Week 4

Backtesting Bootcamp

Build and validate trading strategies through historical testing. Learn to analyze and optimize strategy performance.

Week 5

Bot Building

Develop live trading bots that can execute trades automatically. Connect to brokers and handle real-time data streams.

Week 6

Capstone Project

Build your own complete trading system from scratch. Deploy and monitor your strategy in live market conditions.

Bonus #1

Quant Resource Library

Get access to our curated collection of quant trading resources and strategy breakdowns.

Bonus #2

Quant Career Guide

Learn how to land a job in quantitative trading. Includes resume templates, interview prep, and networking strategies for quant roles.

Bonus #3

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

Join a thriving community of algo traders supporting each other on their quantitative trading journey.

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