Complete algorithmic forex trading and back testing system

Develop robust systems for trading, backtesting, web scraping and web application development.

Created by: Richard Allbert
Digital Decode GmbH

What Will I Learn?

• Build a robust live 24/7 trading bot with Python
• Learn to use Python and multi-threading to stream live prices
• Leverage multi-threading, events and work queues to make trading decisions
• Build a comprehensive strategy back testing system that tests thousands of trades a second
• Learn how to integrate spread and fine grain prices into your strategy testing for accurate results
• Archive historical data and back test multiple instruments over a six+ year period
• Learn data science techniques with Jupyter Notebooks and Pandas to analyse your results
• Automate spreadsheet creation with tables and charts for further analysis
• Have some fun evaluating popular YouTube strategies with promised 90% win rates
• Learn to identify single, dual and multi-candle patterns
• Learn to develop indicators such as MACD, RSI and Keltner Channels
• Use Python to scrape the web for information to help build your strategies
• Use web scraping to get live economic calendar data, headlines and sentiments
• Create and interact with MongoDB to store information
• Build a full featured React web application to display technicals, sentiments, headlines, prices and your bot status
• Create a Flask API backend with endpoints to access technicals, sentiments, headlines, prices.. etc.
• Deploy your bot to a cloud service
• Learn to implement comprehensive logging

Requirements

• Some basic programming knowledge is desirable
• Some basic computer knowledge is required - such as creating directories and installing software

Target audience

• Someone who is interested in building and automating trading systems
• Someone who want to learn common data science techniques