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Algorithmic Trading Course Overview
This comprehensive Algorithmic Trading Course will guide you through the process of setting up a trading account, configuring Python for live trading, and executing risk-free paper trading strategies. The course is designed to take you from foundational principles to advanced trading strategies over the course of eight weeks.
Key Course Outline:
1. Trading Account Setup
Create an Account with Interactive Brokers: Learn how to open and configure your Interactive Brokers account.
Set Up Your Trader Workstation: Step-by-step guidance on setting up the Trader Workstation (TWS) platform to trade through Interactive Brokers.
2. Python Setup for Trading
Install Quant Scientist Python Stack: You’ll set up the Quant Scientist Python Stack, a comprehensive collection of libraries and tools necessary for algorithmic trading.
Connect Python to Trader Workstation: Learn how to link your Python environment with Trader Workstation via the Interactive Brokers API to automate and execute trades.
3. Live Order Execution
Execute Paper Trading Strategies: Once your setup is complete, you’ll begin executing paper trading strategies. This allows you to practice and refine your skills risk-free by simulating real trades with virtual money.
Course Details:
Duration: 8 weeks
Format: Online with access to re-watchable content, practical exercises, and support from experienced coaches.
Python Knowledge Required: The course assumes you already have a basic understanding of Python, Pandas, and Conda Environments. While the course will not teach Python basics, full code lessons and support for Python installation will be provided.
Broker Compatibility:
The course uses Interactive Brokers and their API for all trading setups and strategies.
At this time, the course does not support other brokers, as it requires a significant setup for each one. However, once you set up an Interactive Brokers account, you’ll be taught everything needed to start trading.
Why Interactive Brokers?
Interactive Brokers is a leading brokerage platform widely used for algorithmic trading, offering extensive APIs, tools, and low commissions, which makes it a preferred choice for algorithmic traders.
Support During the Course:
Full Code Lessons: All essential coding steps and configurations will be provided in the course material.
Personalized Support: Access to coaches and a community to ask questions and get support during the course.
This course offers the right balance between technical setup and strategy implementation, ensuring that you can trade live with confidence once the setup is complete.
