Complete algorithmic forex trading and back testing system

Description

Whilst fun, Forex trading is not easy! To be successful today, you must have the ability to test strategies, automate trading and access information.

IMPORTANT:

Note: For this course, we will use the Oanda API service. It is available in most countries worldwide, however please check before purchasing the course. You can check in video #3 called “Oanda account setup and API access”

Whether it’s as a hobby or professional, this course will give you the foundation upon which you will be able to:

• Build a live trading bot
• Create a fast, accurate strategy testing system
• Retrieve live headlines, sentiments, technicals and more from the web.
• Use databases to store and correlate data with market moves
• Build a web application showing the latest prices, sentiments and other market data
• Learn full stack development, using MongoDB, Python and JavaScript (with React)

We will start by learning to use Python to access the Oanda REST API. Next, we’ll download a few thousand candles and develop a simple strategy back test, testing multiple parameters and currency pairs at once. We’ll use the results from this back test to learn how to automate the export of results into a spreadsheet format with tables and graphs.

Once the simple strategy has been tested, we’ll get hold of a lot more data – six years’ worth for multiple time frames. We’ll rerun our simple strategy, and then move on to implementing candle pattern detection and indicator calculation. We will also look at using multi-processing to speed up the testing even more.

Now we have some more knowledge, it’s time to create a more comprehensive back testing system – with spread and breaking candles down into finer time frames. For testing we will choose two strategies with over a million views on YouTube and assess whether they really give the claimed 90% win rate…

It’s now time to move on to the big moment – the live trading bot. We will develop a robust trading bot that trades multiple pairs with comprehensive logging. We will structure the code such that it is easy to swap in and out strategies.

Now it’s time to get more advanced and learn how stream prices live – using multi-threading with events and work queues to react to prices and make decisions

We will learn how to use Web Scraping with Python to access live sentiments, technicals, headlines and economic data. Alongside this, we’ll create a MongoDB database to store our data.

Next up: React! We will use the famous framework to develop ourselves a web application that can access live prices, our sentiment data and much more.

Finally, we will deploy our trading bot on a cloud service.

The course includes a quick-start appendix for Python and for HTML/CSS/JavaScript.

Requirements

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

Who this course is for:

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

Readmore about:  Udemy