Python Programming for Finance
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4 learners
What you'll learn
This course includes
- 6.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 28 lessons • 6.5 hours of video
Python Programming for Finance
28 lessons
• 6.5 hours
Python Programming for Finance
28 lessons
• 6.5 hours
- Intro and Getting Stock Price Data - Python Programming for Finance p.1 09:34
- Handling Data and Graphing - Python Programming for Finance p.2 08:52
- Basic Stock data Manipulation - Python Programming for Finance p.3 10:06
- More stock manipulations - Python Programming for Finance p.4 11:00
- Automating getting the S&P 500 list - Python Programming for Finance p.5 08:27
- Getting all company pricing data in the S&P 500 - Python Programming for Finance p.6 09:52
- Combining S&P 500 into one DataFrame - Python Programming for Finance p. 7 09:51
- S&P 500 company correlation table - Python Programming for Finance p. 8 16:25
- Preprocessing data for Machine Learning - Python Programming for Finance p. 9 09:14
- Creating machine learning target function - Python Programming for Finance p. 10 06:16
- Creating labels for Machine Learning - Python Programming for Finance p. 11 12:11
- Machine learning - Python Programming for Finance p. 12 17:00
- Algorithmic Trading with Python and Quantopian p. 1 15:45
- Orders and Leverage - Algorithmic Trading with Python and Quantopian p. 2 16:12
- Schedule Function - Algorithmic Trading with Python and Quantopian p. 3 09:55
- Research - Algorithmic Trading with Python and Quantopian p. 4 17:43
- Pipeline - Algorithmic Trading with Python and Quantopian p. 5 20:03
- Analyzing Alpha Factors with Alphalens - Algorithmic Trading with Python and Quantopian p. 6 21:27
- Backtesting Alpha Factor - Algorithmic Trading with Python and Quantopian p. 7 19:32
- Analyzing Backtest with Pyfolio - Algorithmic Trading with Python and Quantopian p. 8 11:39
- Strategizing - Algorithmic Trading with Python and Quantopian p. 9 10:37
- Finding more Alpha Factors - Algorithmic Trading with Python and Quantopian p. 10 26:39
- Combining Alphas - Algorithmic Trading with Python and Quantopian p. 11 14:05
- Portfolio Optimization API - Algorithmic Trading with Python and Quantopian p. 12 26:04
- Installation - Zipline Tutorial local backtesting and finance with Python p.1 16:53
- Visualizing Strategy Metrics - Zipline Tutorial local backtesting and finance with Python p.2 09:09
- Custom Data Panel - Zipline Tutorial local backtesting and finance with Python p.3 16:48
- Trading Custom Markets (bitcoin example) - Zipline Tutorial finance with Python p.4 13:24
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