Shulou(Shulou.com)06/01 Report--

Big data junior high school learns how to build a quantitative trading environment and how to solve the problem. in view of this problem, this article introduces the corresponding analysis and solutions in detail. I hope it can help more partners who want to solve this problem to find a more simple and feasible method.

Preface

At present, the version of Python has reached 3.8.5, but in actual development, there are not too many users, or many packages and plug-ins do not support it. (I java ape) at present, I am a quantitative beginner, and I don't know much about python ecology. The whole process depends on the ability of the hand-stretching party to play monster and upgrade in the sea of search engines, and the sadness of the upgrade is recorded here today.

Basics

Python3.6 (don't choose too high, I used 3.8.5 from the beginning, basically the same reason as using java14)

PyCharm (coding tool)

Anaconda3 (management tools for packages and their dependencies and environments)

Install Python

Tutorial address: portal

PyCharm installation

This is weird, you have to fight by yourself. Can also choose other strange, do not force.

Anaconda3

Introduction: management tools for packages and their dependencies and environments

Information:

Anaconda official website: https://www.anaconda.com/

Miniconda official website: https://docs.conda.io/en/latest/miniconda.html

Foreign Studies University: https://mirrors.bfsu.edu.cn/help/anaconda/

Https://mirror.tuna.tsinghua.edu.cn/help/anaconda/ of Tsinghua University

Create a quantitative configuration environment Anaconda3 create an environment

Open Anaconda3 Prompt

Create a pydev environment: conda create-n pydev python=3.6

Activate the pydev environment: conda activate pydev

View the existing environment: conda env list

Delete the existing environment: conda romove-n pydev-- all

One of the three oddities of zipline quantification

Introduction: zipline is the transaction library of pythonic algorithm. It is an event-driven backtest system.

Official website address: portal

1. Open Anaconda3 Prompt

2. Conda install-c Quantopian zipline

3. [2] exception. You can choose to install it manually. Open: https://www.lfd.uci.edu/~gohlke/pythonlibs/#zipline

4. Find the corresponding file at the beginning of Zipline to download (download cp36 for python3.6)

5. Absolute path where the pip install file is located + file name

6. Check to see if the command was successfully installed and run: zipline

7. Possible version problem: numexpr is too low (figure 1 below)

8. Upgrade with specified version number: pip install-U numexpr==2.6.2

9. Success is shown in figure 2

Figure 1:

Figure 2:

One of the three oddities of Talib quantification

Introduction: TaLib is a Python financial index processing library. Contains a lot of commonly used parameters in technical analysis.

Official website address: portal

1. Open Anaconda3 Prompt

2. Pip install Ta-Lib

3. [2] exception. You can choose to install it manually. Open: https://www.lfd.uci.edu/~gohlke/pythonlibs/#Ta-Lib

4. Find the corresponding file at the beginning of TA_Lib to download (download cp36 for python3.6)

5. Absolute path where the pip install file is located + file name

One of the three oddities of Pandas quantification

Summary: Pandas incorporates a large number of libraries and some standard data models, providing the tools you need to manipulate large datasets efficiently.

Official website address: portal

1. Open Anaconda3 Prompt

2. Pip install Pandas

3. [2] exception. You can choose to install it manually. Open: https://www.lfd.uci.edu/~gohlke/pythonlibs/#Pandas

4. Find the corresponding file at the beginning of TA_Lib to download (download cp36 for python3.6)

5. Absolute path where the pip install file is located + file name

The answer to the question about big data's beginner quantitative trading environment construction and problem solving is shared here. I hope the above content can be of some help to everyone, if you still have a lot of doubts to be solved. You can follow the industry information channel for more related knowledge.

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