Code Your Future: Mastering Algorithmic Trading with Python

Harness the power of programming to Automate your trading strategies with Python, Telegram, and Oracle Cloud.

4.75 (2 reviews)
Udemy
platform
हिन्दी
language
Investing & Trading
category
Code Your Future: Mastering Algorithmic Trading with Python
25
students
5.5 hours
content
Jan 2024
last update
$19.99
regular price

What you will learn

Algorithmic Trading

Basic Python Programming

Linux Command-line Basics

Deploying Algorithmic trading strategies on Oracle Cloud for free.

Setup VS Code Server on Cloud

Telegram Automation

Why take this course?

Are you looking to take your trading skills to the next level? In "Code Your Future: Mastering Algorithmic Trading with Python and Fyers and Finvasia API", you'll learn how to build and automate your own trading strategies using Python programming language and the APIs of Fyers and Finvasia, two popular trading platforms in India.

In this course, you'll start with the basics of algorithmic trading and learn how to write Python code to create your own trading strategies. You'll also learn how to use the Fyers and Finvasia APIs to connect your trading strategies with the platforms and execute trades automatically.

As you progress through the course, you'll gain hands-on experience building and deploying your own algorithmic trading system with the Fyers and Finvasia APIs. You'll learn how to use Python libraries such as Pandas and NumPy to collect and analyze market data, and how to integrate your system with Fyers and Finvasia platforms.

Whether you're a seasoned trader or a beginner, this course will provide you with the skills and knowledge you need to create profitable trading strategies and automate their execution using Python and the APIs of Fyers and Finvasia. So, don't wait any longer to code your future - enroll now in "Code Your Future: Mastering Algorithmic Trading with Python and Fyers and Finvasia API" and start building your own trading system today!

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Related Topics

5114626
udemy ID
1/26/2023
course created date
4/6/2023
course indexed date
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