Full Algo Trading Course | Python Trading Bot | Python Quantitative Trading | 3/3

Welcome to the third and final part of our Algo Trading Course! In this video, we dive into the exciting world of Python trading bots and explore how they can be used to test drive a trading strategy on the research platform. If you're interested in python trading bot, algo trading python, or algorithmic trading python, this video is a must-watch!

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Ready to take your algorithmic trading skills to the next level? Gain in-depth knowledge, hands-on experience, and industry insights from expert instructors. Enroll in our EPAT (Executive Programme in Algorithmic Trading) course today! ? https://www.quantinsti.com/epat
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We begin by introducing you to the Blueshift Research Platform, a powerful tool that enables systematic strategy design and development. You'll learn how to leverage this platform to create and refine your own trading strategies.

Next, we delve into the nitty-gritty of systematic strategy design. We explore the key components and considerations involved in building a successful trading strategy. From defining entry and exit rules to managing risk, we cover it all.

But we don't stop at theory! This course is all about hands-on learning, so we guide you through the process of developing a strategy on the Blueshift platform. You'll gain practical experience and see firsthand how your strategy performs in a simulated trading environment.

To make this video even more engaging, we've included a Q&A segment where we answer some of the most frequently asked questions about algorithmic trading, Python trading bots, and systematic strategy development. You'll walk away with a solid understanding and be ready to take your trading to the next level.

▶️ Full Algorithmic Trading Course (Part 2 of 3): https://www.youtube.com/watch?v=WiiQBg71Mz4&list=PLD7IrLyN7uvKDeBN2kSs9oYoiVvvulynC&index=2
▶️ Algorithmic Trading Course: https://www.youtube.com/playlist?list=PLD7IrLyN7uvKDeBN2kSs9oYoiVvvulynC

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ABOUT THE WORKSHOP
This video is Part-3 of a 3-day Free Online Workshop on 'Learn Algo Trading Basics in 3 Days'. The 3-day online workshop introduces you to systematic and quant trading, discusses various strategy paradigms, teaches you how to formulate a strategy and showcases the backtesting of a sample strategy on multiple assets using both visual coding and the Python console.
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ABOUT THE SPEAKER
Jay Parmar (Associate, Content & Research at QuantInsti)

Jay works as an Associate, Content & Research at QuantInsti and comes with several years of experience in the BFSI industry. He is actively engaged in content development for quant finance courses and mentors EPAT participants across the globe.

He is the co-author of the book, “Python Basics: With Illustrations from the financial markets (2019)”. He is passionate about algo trading and programming and enjoys developing automated trading systems.

He holds a Bachelor's in Computer Science and an EPAT Certificate. His research interests are in applying machine learning models to various facets of trading.
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Session Outline:
00:00 - EPAT Success Story
03:45 - Intro
05:57 - Agenda
07:11 - Recap
09:51 - Intro to Blueshift Research Platform
13:58 - Systematic Strategy Design
16:48 - Hands-on Strategy Development on Blueshift
01:13:50 - Q&A

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