Automated Trading Using Python Algo Stock Trading

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Jupyter Notebooks & Hello world!

1. Jupyter Notebooks & Hello world!
3m 12s

Python for Beginners

1. Numbers
3m 41s
2. Strings
3m 57s
3. Variables
3m 46s
4. Comments
1m 18s
5. Comparison Operators
3m 31s
6. Functions
3m 31s
7. If, Else, and Elif Statements
3m 24s
8. Lists
2m 57s
9. Dictionaries
1m 47s

Quantopian

1. Welcome to Quantopian
4m 35s
2. Quantopian IDE
5m 18s

Algo 1: FANG Portfolio

1. Initialize, Before Trading, & Handle Data
2m 53s
2. Context & Order Target Percent
5m 50s
3. Order Types & Short Selling
5m 46s
4. Schedule Function & Portfolio Rebalancing
5m 50s
5. Historical Data
5m 50s
6. Closing Positions & Conclusion
2m 27s

Performance Metrics

1. Performance Metrics
7m
2. Common Mistakes
2m 39s

Algo 2: Golden Cross

1. Introduction to Momentum
4m 3s
2. Adding Our Moving Averages
2m 45s
3. If Data Can Trade & Trading Logic
4m 8s
4. Plotting Variables & Conclusion
6m

Algo 3: Downhill Pressure

1. Introduction
3m 26s
2. Implementing Current Data
2m 13s
3. Trading Logic & Portfolio Object
6m 5s
4. Hedging & Systemic Risk
4m 45s

Querying Fundamentals

1. Querying Fundamentals
6m 26s

Dynamic Stock Selection

1. Dynamic Stock Selection
8m 52s
2. Next Steps
2m 29s