Turn Python into Profit: Algorithmic Trading & Automation
Published 4/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
What you’ll learn
Master Python fundamentals – Learn core programming concepts, including data types, loops, and conditional statements, with a focus on finance applications.
Work with real financial data – Fetch market data using Yahoo Finance, analyze datasets, and perform time-series evaluations in Jupyter Notebook.
Build and backtest trading algorithms – Design, code, and test trading strategies with risk management and trade execution modules.
Automate data collection and processing – Use Exchange APIs, CCXT library, and debugging techniques to fetch and clean financial data.
Requirements
Basic understanding of finance is helpful but not necessary. We’ll cover financial concepts as we apply them to coding.
A computer with an internet connection – You’ll need Python installed (we’ll guide you through the setup).
Jupyter Notebook recommended – We’ll use it for data analysis and coding exercises.
Description
Who this course is for
Finance professionals & analysts – Looking to enhance their data analysis and trading strategy skills using Python.
Aspiring algorithmic traders – Wanting to learn how to code, backtest, and automate trading strategies.
Investors & traders – Seeking to leverage financial data and automation for better decision-making.
Python beginners & programmers – Interested in applying coding skills to financial markets.
Python beginners & programmers – Interested in applying coding skills to financial markets.
