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[See Description] Leverage - Python for Finance with Quantopian and Zipline 18
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Classroom Contents
Python for Finance with Zipline and Quantopian
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- 1 [See Description] Programming for Finance with Python and Quantopian and Zipline Part 1
- 2 [See Description] Programming for Finance Part 2 - Creating an automated trading strategy
- 3 [See Description] Programming for Finance Part 3 - Back Testing Strategy
- 4 [See Description] Accessing Fundamental company Data - Programming for Finance with Python - Part4
- 5 [See Description] Back-testing our strategy - Programming for Finance with Python - part 5
- 6 [See Description] Strategy Sell Logic with Schedule Function with Quantopian - Python for Finance 6
- 7 [See Description] Stop-Loss in strategy - Python for Finance with Quantopian and Zipline 7
- 8 [See Description] Achieving Targets and Shorting - Python for Finance with Zipline and Quantopian 8
- 9 [See Description] Quantopian Fetcher - Python for Finance with Zipline and Quantopian 9
- 10 [See Description] Trading Logic with Sentiment Analysis Signals - Python for Finance 10
- 11 [See Description] Shorting based on Sentiment Analysis signals - Python for Finance 11
- 12 [See Description] Paper Trading a Strategy on Quantopian - Python for Finance 12
- 13 [See Description] Understanding Hedgefund and other financial Objectives - Python for Finance 13
- 14 [See Description] Building Machine Learning Framework - Python for Finance 14
- 15 Creating Machine Learning Classifier Feature Sets - Python for Finance 15
- 16 [See Description] Creating our Machine Learning Classifiers - Python for Finance 16
- 17 Testing our Machine Learning Strategy - Python for Finance 17
- 18 [See Description] Leverage - Python for Finance with Quantopian and Zipline 18
- 19 [See Description] Pipeline API Intro - Python for Finance with Quantopian and Zipline 19
- 20 [See Description] Pipeline Tutorial - Python for Finance with Quantopian and Zipline 20
