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Free download — Udemy – Python Interactive Algorithmic Trading Assistant with APIs
What you’ll learn:
Build your own Python algorithmic trading assistant using FREE and easily accessible web tools
Utilize Anaconda’s Jupyter Lab Python environment
Access historical financial data from yfinance, Robinhood and Alpaca using APIs
Apply technical indicators to historical financial datasets
Build custom algorithmic strategies
Interact with broker APIs
Build an interactive trading assistant using Descriptionly/Dash
Automated trade execution
Requirements
Basic Python skills (variable assignments and type recognition, functions and importing libraries) are recommended. This course will provide working templates with detailed comments to help even the most basic python users get started.
Robinhood and Alpaca brokerage accounts will be used during this course. If your broker of choice has API integration, the principals in this course will also apply.
Basic to intermediate understand of trading and financial indicators
Description
Utilizing the basics of Python and trading, students in this class will learn to program their own algorithmic trading strategies and how to display them for analysis in an interactive dash assistant. The use of free web tools and API calls removes the leg work normally associated with monitoring multiple securities simultaneously, and running each through your created strategies. Whether you want to be an active or passive investor, long or short-term trader, there is truly something in here for everyone!
Students should expect a detailed and well-paced course that contains 58 lectures and 19 python notebooks with easy-to-follow examples. This course will differentiate itself not only with content and flow, but with actual take-away coding samples downloadable upon the start of our course. These Python notebooks are free to be used by any students as basic building blocks for their own custom applications or live trading dashboards.
Throughout our lectures students will:
Download and install Anaconda, the world’s most popular Python distribution platform
Access historical financial data from yfinance, Robinhood and Alpaca
Apply financial technical indicators to analyze historical datasets
Analyze multiple technical indicators and pricing action to create multiple trading strategies
Interact with broker APIs for portfolio and order analysis, as well as live trade execution
Build an interactive Python web assistant using Descriptionly/Dash
Live update their assistants using manual and automatic intervention
Automate their application for laborsaving trade execution
DOWNLOAD LINK : Udemy – Python Interactive Algorithmic Trading Assistant with APIs
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