Build Your First Trading Bridge for Amibroker Using Python
Learn with Rajandran R
2 modules
English
Certificate of completion
Lifetime access
Unlock the power of automation in trading with Python
Overview
Course Overview:
Dive into the world of algorithmic trading with our engaging and practical webinar, designed to empower you with the skills to build your own trading bridge using Python. This 60-minute session is perfect for traders, Python enthusiasts, and anyone keen on automating their trading strategies with Amibroker. Through hands-on coding and real-world examples, you'll learn the ins and outs of broker APIs, Flask applications, and the creation of a functional trading bridge.
Who Should Attend?
Traders exploring the possibilities of algorithmic trading
Python developers interested in financial technology
System traders looking to automate their strategies
Students in finance or computer science fields
Webinar Structure:
Introduction (10 minutes): Overview of the webinar, introduction to the instructors, and clarification of the target audience.
Understanding Broker API (10 minutes): Delve into what broker APIs are and their importance in the trading ecosystem.
Building Your First Flask Application (10 minutes): A primer on Flask and a walkthrough of your first Flask application.
Understanding API Request/Response (10 minutes): Exploring the types of API requests and how to handle responses.
Building Your First Trading Bridge for Amibroker Using Python (20 minutes): The main event—coding your trading bridge, with live examples and interactive coding.
Conclusion (5 minutes): Q&A session, further resources, and closing remarks.
Join us for this transformative journey into algorithmic trading. Let's bridge the gap between trading and technology, one line of code at a time. Register now and unlock the potential of automated trading with Amibroker and Python.
Key Highlights
Connect Amibroker with Python
Automate trading strategies
Maximize trading efficiency
What you will learn
Connect Amibroker with Python
Learn how to establish a bridge between Amibroker and Python for seamless integration.
Automate Trading Strategies
Discover how to automate your trading strategies using Python scripts for enhanced performance.
Maximize Trading Efficiency
Optimize your trading efficiency by leveraging the capabilities of Python in Amibroker.
Modules
Build Your First Trading Bridge for Amibroker Using Python
Download Python and Amibroker AFL
3 attachments
PlaceOrder AFL
flask app
MyAmiBridge
Certification
When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.
FAQs
How can I enrol in a course?
Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.
Can I access the course materials on any device?
Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.
How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
Learn with Rajandran R
Welcome to Marketcalls, the premier destination for traders seeking insightful commentary and education on trading strategies, software, quantitative analysis, and more. Our founder, Rajandran R, is a telecom engineer turned full-time derivative trader who has been trading the markets since 2006. With a focus on Nifty, Banknifty, USDINR, and high-liquid stock derivatives.
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