Withdrawal method: Baidu.com
Total [8] sections
Availability of courseware: Yes

You will gain

1 Descriptive statistics
2 The concept of random variables
3 Discrete Random Variable Programming
4 Continuous Random Variable Programming
5 Binomial Distributions of Random Variables with Expectation Programming
6 Random variables are positively distributed
7 Data distribution mapping
8 Probabilistic random distributions as well as linear regression

population (esp. of a group of people)

Python enthusiasts
Courses

Using python language to achieve quantitative trading, advanced mathematical models instead of human subjective judgment, the use of computer technology from the huge historical data to select a variety of "probability" events that can bring excessive returns to formulate strategies, greatly reducing the impact of investor emotional fluctuations, to avoid making irrational investment decisions in the case of extreme market frenzy or pessimism. avoid making irrational investment decisions in an extremely frenzied or pessimistic market.


Course Catalog

Chapter 1: python quantitative trading (2)
1 Descriptive Statistics 20:59
2 Concepts of Random Variables 15:15
3 Programming Discrete Random Variables 07:39
4 Continuous Random Variable Programming 14:20
5 Binomial Distributions and Expectation Programming for Random Variables 18:07
6 Random variables positively distributed 12:39
7 Data Distribution Mapping 13:27
8 Probabilistic Random Distributions, and Linear Regression 15:47

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