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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.
