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Algorithmic Trading with Python, Statistics and Pandas - Build Investing Strategies
00 Course Overview
00 Project Preview (1:58)
02 Introduction to Python (Prerequisite)
00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:24)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)
03 Build Your First Investing Strategy
01 Make An API Call (6:18)
02 Convert Data To A Pandas Dataframe (9:41)
03 Batch Api Calls To Improve Performance (11:23)
04 Calculate The Number Of Shares To Buy (7:18)
05 Build An Excel File From The Pandas Dataframe (4:18)
Source Files
04 Find 50 Best Momentum Stocks with 2 Investing Strategies
00 Project 2 Preview (2:42)
01 Make An API Call (9:47)
02 Execute A Batch API Call (14:59)
03 Remove Low Momentum Stocks (6:06)
04 Calculate The Number Of Shares To Buy (7:53)
05 Find High Quality Momentum Stocks (11:42)
06 Calculate Momentum Percentiles (7:19)
07 Find The 50 Best Momentum Stocks (8:10)
08 Calculate New Number Of Shares To Buy (5:30)
09 Build An Excel File (3:41)
Source Files
05 Find 50 Best Value Stocks with 2 Investing Strategies
00 Project 3 Preview (1:55)
01 Build A Dataframe (5:58)
02 Remove Glamour Stocks (5:01)
03 Calculate The Number Of Shares To Buy (3:51)
04 Build A Composite Of Valuation Metrics (15:22)
05 Clean Dataframe (5:48)
06 Calculate Value Percentiles (4:50)
07 Find The 50 Best Value Stocks (6:57)
08 Calculate New Number Of Shares To Buy (3:24)
Source Files
05. List Examples
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