Learn Python for Algorithmic Trading

Transform Your Trading with a Step-by-Step System That Turns Total Beginners into Automated Quant Traders in as Little as 12 Weeks

Python used by:

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A proven path to becoming a quant

Follow a step-by-step system with all the resources you need to become an automated quant trader

Learn Python from scratch, tailored for finance professionals

Understand algorithmic trading strategies and backtesting

Code your own trading bots and automate your strategies

Access a supportive community of like-minded traders

Receive personalized mentorship from experienced quant traders

Build guided real-world projects to build your portfolio

THE ROADMAP

Python Foundations for Traders
Step 1

Python Foundations for Traders

Ramp up your Python programming skills for quant research and algorithmic trading

Learn Python syntax, data structures, and key libraries for statistics, data analysis, and machine learning.

Topics covered:
Notebooks & IDEsPackage ManagementVariablesFunctionsLoopsObject-Oriented ProgrammingNumPyPandasScikit-LearnMatplotlib
Quant Strategy Playbook
Step 2

Quant Strategy Playbook

Learn the core concepts of quant trading and how to develop your own strategies

Learn the core concepts of quant trading and how to develop your own strategies. Understand the key components of a trading strategy and how to evaluate them.

Topics covered:
Market Neutral TradingSources of Excess ReturnsMean ReversionMomentumGrowth & ValueSentimentSeasonalityStatistical ArbitrageMarket MakingSignal Construction
Market Data Mastery
Step 3

Market Data Mastery

Become a master of the data that powers your trading strategies

Data is the foundation of all quant trading strategies. Learn to interact with market data providers, APIs, and databases. Build your own data pipeline and securities master database to consistently access the data you need for research and trading.

Topics covered:
Market Data ProvidersInteracting with APIsWorking with CSVs + JSONDatabases for Market DataData Quality IssuesData Cleaning & TransformationTime-Series AnalysisCharting & Data Visualization
Bot Building Bootcamp
Step 4

Bot Building Bootcamp

Build your first trading bot from scratch

Understand the core components of a trading system and how to build your own from scratch. Learn the Alpaca Markets Brokerage API and how to interact with it programmatically. Build your first automated trading bot using a simple market-neutral momentum strategy!

Topics covered:
System ArchitectureStrategy DesignBrokerage APIOrder TypesMarket Neutral StrategiesAutomated Trade ExecutionPosition SizingSignal Generation
Backtesting Masterclass
Step 5

Backtesting Masterclass

Implement advanced algorithms and machine learning models

Profitable trading depends on good research. Learn how to use data to test your ideas and build models that can predict price movements in real-time. Develop an understanding of trading edge and how to find and evaluate potential trading ideas through a structured research process.

Topics covered:
Alpha ResearchBacktesting TechniquesBacktesting PitfallsResearch ProcessEvaluating AlphasModeling TechniquesFinding Trading IdeasBacktesting on QuantConnect
Live Trading Launchpad
Step 6

Live Trading Launchpad

Implement and monitor live trading systems

Deploy your trading bots to live markets and manage real-time trading using cloud infrastructure and management tools. Achieve high-uptime and easy management of your trading systems with tools like Docker (containers), Hetzner (servers), Telegram (control), and Streamlit (dashboards).

Topics covered:
Cloud InfrastructureServer ManagementDocker ContainersTelegram CommandsStreamlit DashboardsUptime & ReliabilityPerformance MonitoringSystem Alerting

Comprehensive Resources & Support Every Step of the Way

  • 50+ hours of video content
  • Full Python source code & re-usable templates
  • Active community of traders and developers
  • Direct support when you need it
  • Live calls & discussions on latest topics
  • New content added regularly
  • Hands-on projects with real use cases

A small investment in a big future

Take the first step a $200k+/yr career in financial markets

Free

Try before you buy with our free tier

$0.00/mo

Lifetime Access

What's included

  • Algo Trading 101 Course
  • Free Downloads and Resources
  • Community Forum
  • Occasional Live Calls
  • Roadmap Previews

Pro

Unlock all features and support

$20.75/mo$49.00/mo

Save 58% + 7 day money-back guarantee with annual memberships

What's included

  • Full Roadmap Access
  • 50+ Hours of Content
  • Hands-On Guided Projects
  • Full Python Source Code & Templates
  • Live Calls on New Strategies and Research
  • Access to Private Community of Other Quants
  • Direct Support from Instructors

Frequently Asked Questions

Ready to level up your trading?

Join hundreds of traders who have transformed their approach with Python.