一、量化投资简介 《量化投资基础》教程
1.0
?
ETF/LOF
1. b
2. : ;
3. :
4. :
5.
6.
7.
IT
1. 600 200
2.
3.
1.
2.
3.
4.
5.
60 MIT ?21 1970 1971 1973 BARRA 1977 1988 21 80 1995 2007 20 35% 20081184 148 80% 2009 30%
2.0
1. SMA (Simple Moving Average)
1
1. X 2. X
2
1. XY 2. XY
2.
(Momentum Strategy)
1. 10,50, 2. 1050,
3.
Mean-Revertion Strategy
1. 10,(20), 100, 2. 10(20), -100,
python
1.0 python
Python (shell)
Python:
1. Web Internet: Django,Flask 2. :numpy,pandas,scipy 3. :TensorFlow 4. :PyQT,Tkinter 5. :spyder,requests 6. Pygame 7. /openpyxl,Python-docxPyMysql
2.0 python
Python
1. Python 2. Anaconda
IDE
1. pycharm 2. jupyter NotebookAnaconda 3. spyderAnaconda
3.0 python
1. python print('CSMAR')
2.
QT = "CSMAR"
# str
QT2 = 123
# int
QT2 = 123.01
# float
QT3 = [1,2,3]
# list
QT4 = {'name':'CSMAR'} # dic
QT5 = ("","CSMAR") # tuple
QT6 = {'C','S','M','A','R'} # set
3.
+; -; *; /; % ; ** ; // == ; =; >; =; ................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.