File Size : 11 GB
Over 20 Hours of Video Lessons
What you’ll 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