Published 11/2023
Created by Satyapal Singh
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 102 Lectures ( 10h 33m ) | Size: 5.55 GB
Most Comprehensive Algorithmic Trading Course
What you’ll learn
Python for Algo Trading including Pandas
Learn to Develop Trading Bots
Use Zerodha Kite Connect API for Algo Trading
Create Technical Indicators using python
Develop and Backtest Algo Trading Strategies
Requirements
Basics of Stock Market/ Trading
Beginner level programming skills
Description
Welcome to our most comprehensive course, “Algorithmic Trading using Python,” where you will embark on a transformative journey into the world of algorithmic trading. This course is designed to provide you with a solid foundation in both Python programming and algorithmic trading strategies, catering to beginners and experienced developers alike.The course begins with a thorough exploration of Python’s Object Oriented Programming (OOP) to equip you with the essential skills for algorithmic trading. You will delve into data analysis using Pandas, mastering the manipulation of financial data with ease. Utilizing libraries such as Numpy and Matplotlib, you will gain proficiency in numerical computations and data visualization.The course covers data normalization and the calculation of financial returns, essential steps in developing robust trading strategies. Dive into finance and investment concepts to understand the intricacies of the market.Learn to communicate with broker API using Python code. Automation Login using Selenium. Harness the potential of Zerodha Kite Connect API to implement your strategies seamlessly. In the realm of algorithmic trading, real-time data is paramount. Learn to stream live tick data and efficiently download and clean historical financial data. Order Management – Placing orders, modifying, canceling, placing & trail stop loss orders. This course includes frequently asked questions & prerequisites for the API.Use MySQL Database to save and access Data. Import and export data using static files.Technical indicators play a pivotal role in trading decisions. This course empowers you to develop indicators like Moving Averages, Bollinger Bands, ATR, Relative Strength, MACD, Supertrend, and Renko using Python.Take your skills to the next level by learning to deploy your trading bot on a Virtual Private Server, accessible through a user-friendly web page. Achieve the pinnacle of automation as you develop a fully automatic trading bot, ready to navigate the financial markets.The course has all working code Jupyter notebooks available in the resources section. Whether you’re a novice seeking a comprehensive introduction or an experienced developer aiming to enhance your algorithmic trading prowess, this course provides the knowledge and hands-on experience needed to succeed in the dynamic world of algorithmic trading using Python. Join us on this exciting journey and unlock the potential of algorithmic trading in the financial markets.
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