This course teaches how to use the TradingView Lightweight Charts library and the Interactive Brokers API to build projects displaying static data, overlaying data from Pandas TA, fetching real-time data, placing orders, and plotting order fills. The course covers setting up the development environment, integrating YFinance data, using Pandas TA overlays, switching symbols and timeframes, and handling real-time updates. The intended audience for this course is individuals interested in using Python for financial data analysis and trading automation.
Interactive Brokers API and TradingView Charts in Python
Overview
Syllabus
Introduction and Overview
Project #1 - YFinance Data, Pandas TA Integration
Project #2 - Interactive Brokers Fetching, Multiple Timeframes, Symbol Switcher
Project #3 - YFinance Grid of Charts
Project #4 - Interactive Brokers Real Time Charts, Ticks
Project #5 - Interactive Brokers Real Time Bars, Placing an Order, Plotting Order Fills
Benefits vs. Tradingview + Webhooks
VS Code Setup, Virtual Environment, Python Package Requirements
YFinance + TradingView Lightweight Charts
Pandas TA Overlays
Interactive Brokers Integration, Timeframe and Symbol Switching, Callbacks
Grid of TV Charts with YFinance Data
Real-Time Updates with Tick Data from Interactive Brokers
Real-Time Chart Updates, Programmatically Placing Orders, Order Fill Events, Markers
Taught by
Part Time Larry
