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Algo Trading With Python: Learn To Automate Stock Trading

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Alpha and Omega
Nov 24, 2022
Reaction score
1 years of service


Algo Trading With Python: Learn To Automate Stock Trading
Last updated 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.94 GB | Duration: 3h 23m

Are you interested in learn Automated Stock Trading with Python? Trade the market in your sleep with no effort!​

What you'll learn
Algo Trading with Python
How to build a Trading Bot
How to Trade Stocks with Python
Build a Stock Trading Bot
Some experience with Python and Trading.
Are you looking to break into the world of algorithmic trading? Do you want to learn how to use Python and Alpaca to build and deploy your own trading strategies? Look no further! Our comprehensive Udemy course teaches you everything you need to know to get started with algo trading.Our course is designed for both beginners and experienced traders who want to take their skills to the next level. We start from the basics, introducing you to the concepts and tools you need to understand algo trading. From there, we guide you through the process of building and testing your own trading strategies using Python and Alpaca.Throughout the course, you'll learn how to access and analyze financial data, use machine learning algorithms to make informed trading decisions, and automate your trading processes with Python and Alpaca. By the end of the course, you'll have the skills and knowledge to confidently trade on your own and make informed, data-driven decisions.In addition to comprehensive video lectures, our course also includes hands-on exercises and projects to help you practice and apply your new skills. You'll have access to our experienced instructors and a supportive community of fellow students to help you along the way.Enroll in our Udemy course today and take the first step towards becoming a successful Algo Trader. Whether you're just starting out or looking to improve your skills, our course has something for everyone. So, don't wait - sign up now and start your journey towards financial independence.Learn how to build and deploy algorithmic trading strategies with Python and Alpaca on Udemy, today!
Section 1: Introduction
Lecture 1 Required Materials
Lecture 2 Setup
Lecture 3 Course Overview
Lecture 4 How to Succeed in this Course
Section 2: Finviz - Build a Technical Stock Screener with Python
Lecture 5 What is Finviz
Lecture 6 How to install Finviz from PyPi
Lecture 7 Finviz Usage
Lecture 8 Make a Technical Stock Screener with Finviz
Lecture 9 Make a Technical Stock Screener with Python
Section 3: Yahoo Finance - Getting Data to use in the Algo
Lecture 10 Yahoo Finance Overview
Lecture 11 Getting Data with Yahoo Finance
Lecture 12 Yahoo Finance Time Frames
Lecture 13 Yahoo Finance Time Periods
Section 4: Pandas-TA - Getting Technical Analysis Indicators to create buy and sell signals
Lecture 14 What is Pandas-TA
Lecture 15 Installing Pandas-TA
Lecture 16 MACD Indicator
Lecture 17 VWAP Indicator
Lecture 18 RSI Indicator
Section 5: Alpaca-py - Our beloved Retail Algo Investor Broker
Lecture 19 What is Alpaca-py
Lecture 20 Installing Alpaca-py
Lecture 21 Paper vs Live Keys
Lecture 22 Market Order Buy/ Sell
Lecture 23 Limit Order Buy/ Sell
Lecture 24 Get Account Balance with Alpaca-py
Lecture 25 Cancelling Orders with Alpaca-py
Lecture 26 Day Trading Protection with Alpaca.Markets
Section 6: Heroku Scheduler - How to run Jobs with Python Scripts in the Cloud
Lecture 27 What is Heroku Scheduler
Lecture 28 How to add Heroku Scheduler to Heroku
Lecture 29 Scheduling Jobs with Heroku Scheduler
Lecture 30 Explaining the Heroku Logs Panel
Section 7: Build a Stock Trading Algo from Scratch
Lecture 31 Introduction to this section
Lecture 32 Getting Data from Finviz
Lecture 33 Getting Data from Yahoo Finance
Lecture 34 Make Technical Indicators with Pandas-TA
Lecture 35 Decide Buying Factors with TA Indicators
Lecture 36 Buy Stock with Alpaca-py
Lecture 37 Checking Function Build
Lecture 38 Requirements.txt Creation
Lecture 39 Deploy.sh Script
Lecture 40 Heroku Environment Variables
Lecture 41 Deploy to Heroku with CLI
Lecture 42 Making Heroku Scheduler Jobs
Section 8: Conclusion
Lecture 43 Paper vs Live Trading Accounts
Lecture 44 Thanks and Bye!
Lecture 45 Youtube Link
Lecture 46 Where to Go From Here
Section 9: Bonus Content
Lecture 47 Close Postion with Alpaca
Lecture 48 Bear Market Bot
Lecture 49 Bitcoin Short Bot
Lecture 50 Top Losers Bot
Lecture 51 Tax Documents with Alpaca
Section 10: End of Course Goodies
Lecture 52 End of Course Goodies
Beginner Financial Programmers looking to build their first Algo.


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KatzSec DevOps

Alpha and Omega
Jan 17, 2022
Reaction score
2 years of service
oaxino salamat sa pag contribute. Next time always upload your files sa
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