Complete Algorithmic Forex Trading And Back Testing System
Last updated 9/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Develop robust systems for trading, backtesting, web scraping and web application development.
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
Learn data science techniques with Jupyter Notebooks and Pandas to analyse your results
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
Description
Who this course is for:
Someone who is interested in building and automating trading systems,Someone who want to learn common data science techniques
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