Learn how to create an impressive trading bot using the different Python tools
This course is a great opportunity to get started with trading, reap the rewards, and take the markets by storm. Programmers who have a basic knowledge of trading in traditional assets and wish to develop their own trading bots will find that this course addresses their core concerns and shows how to go about designing and developing a trading bot.
The course will enable you to get started with creating a traditional asset trading bot. It will arm you with all the necessary programming tools and techniques to develop a full-fledged trading bot that numerous investors/traders can utilize. It covers general features such as using a financial calculator to do conversions, simply by interacting with a bot. Your customers, using your trading, bot can look up recent trends to make informed predictions and see what others have been trading, and how much.
About the Author
Harish Garg, founder of BignumWorks Software LLP, is a data scientist and a lead software developer with 17 years' software industry experience. BignumWorks is an India-based software consultancy that provides consultancy services in software development and technical training. Harish has worked for McAfee\Intel for 11+ years. He is an expert in creating data visualizations using R, Python, and web-based visualization libraries.
Mithun Lakshmanaswamy of BignumWorks Software LLP has been developing applications in Python for 9+ years. He has written enterprise-level distributed applications that are deployed on scores of servers and have the ability to support thousands of users simultaneously. Some of the applications he has developed are related to parsing millions of virus definitions, analyzing network packets from an enterprise setup, and so on. He is also quite proficient in teaching technical concepts and is quite involved with his current organization’s training programmes. He has worked on multiple projects working with Python, AWS and so on, implementing the concepts of concurrent and distributed computing.
Explore the landscape, of trading bots for different market segments
Use Python and Pandas to track data and trends for different traditional trading market spaces
Explore several trading bot modules, including stocks, traditional assets, and Forex trade
5 Lectures
4 Lectures
4 Lectures
Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital...
Important steps were left out of the instruction.
1. Do you want us to follow along in the notebook or just watch you. In the latter case, you will be going over in detail the same information. You didn't say.
2. Installing quandl does not give us the Jupyter Notebook apparently. At least as of Nov 2020. I had to look up "installing jupyterlab" to give me this capability.
Very important oversights.
very unclear and needs a lot of updating
Just a few more things could have been explained, overall well explained!
too fast and some are lacking the detail, probably good for an overview.
Great to have an overview on how data is used in python. Very interesting info on how I can combine my Python skills with my Forex trading experience. I will revisit these lessons at a later date to develop my own Algos for trading signals.
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Dominic P.
Limited content (just over an hour in total) and no support when questions asked.