Building Trading Algorithms with Python

Building Trading Algorithms with Python, available at $24.99, has an average rating of 2.9, with 17 lectures, based on 19 reviews, and has 192 subscribers.

You will learn about 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 Use Python to build a trading bot to track market trends Use your trading bot to decide when to purchase and when to sell Designing trading logic using Python Ensure different types of order are catered for by your bot Learn techniques for training and scaling your trading bot Apply practical code examples without acquiring excessive theory This course is ideal for individuals who are Anyone who is comfortable with Python programming. It is particularly useful for Anyone who is comfortable with Python programming.

Enroll now: Building Trading Algorithms with Python

Summary

Title: Building Trading Algorithms with Python

Price: $24.99

Average Rating: 2.9

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

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
Use Python to build a trading bot to track market trends
Use your trading bot to decide when to purchase and when to sell
Designing trading logic using Python
Ensure different types of order are catered for by your bot
Learn techniques for training and scaling your trading bot
Apply practical code examples without acquiring excessive theory

Who Should Attend

Anyone who is comfortable with Python programming.

Target Audiences

Anyone who is comfortable with Python programming.

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 McAfeeIntel 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.�

Course Curriculum

Chapter 1: Basics of a Universal Trading Bot

Lecture 1: The Course Overview

Lecture 2: Benefits of Developing a Trading Bot to Programmers – Why Build a Trading Bot?

Lecture 3: How to Handle Data for Trading in Python

Lecture 4: Use Python and Pandas with Time Series Data

Lecture 5: Order Types and Short Selling

Chapter 2: Building an Automated Stock Trader

Lecture 1: Implementing Stock Market Analysis in Python

Lecture 2: Design Your Trading Algorithm for Selling and Buying Using Python

Lecture 3: Structure Your Trading Bot

Lecture 4: Run Trial Trades on Your Bot

Chapter 3: Building a Bot for Traditional Asset Trading

Lecture 1: Designing the Trading Logic Using Python

Lecture 2: Different Types of Orders to be Catered by the Bot

Lecture 3: Manage Volatility Through Your Python Code

Lecture 4: Test Running the Algorithm and Code for Different Traditional Assets

Chapter 4: Building Your Own Forex Trading Bot in Python

Lecture 1: Programming Forex Market Hours into Your Algorithm

Lecture 2: Drawing and Analyzing Trend Lines for Different Currencies

Lecture 3: Supply and Demand in Forex Trade

Lecture 4: Trend Analysis – Step-by-Step Chart Analysis for Buying and Selling Forex

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 6 votes
2 stars: 2 votes
3 stars: 4 votes
4 stars: 2 votes
5 stars: 5 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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