Quant | For quant_trading - Python File : Init

by kzil88 Python Version: Current License: No License

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kandi X-RAY | Quant Summary

Quant is a Python library. Quant has no bugs, it has no vulnerabilities and it has low support. However Quant build file is not available. You can download it from GitHub.

Python File: Init.py ------ update all the daily price of stocks on Market. Init_50ETF.py ------ update the 50etf daily price on Market. Init_A1.py ------ update all the daily price of stocks on Market(starting from 2006.01.01). Init_BigOrder.py ------ update the big-order information of stocks on Market. Init_Classify.py ------ update kinds of classifies of stocks on Market. Init_Date.py ------ update the trading date. Init_Finance.py ------ update the finance report of stocks on Market. Init_Forecast.py ------ update the forecast finance report of stocks on Market. Init_Fundholdings.py ------ update the fundholdings of stocks on Market. Init_Index.py ------ update the stock index on Market. Init_Index2.py ------ update the stock index on Market(version2). Init_Limit.py ------ update the limit stock on Market. Init_LT.py ------ a kind of stock filter. Init_Profit.py ------ update the profit and divide shares of stock on Market. Init_RZRQ.py ------ update the RZRQ information of stock on Market. Init_RZRQ_Detail.py ------ update the RZRQ detail of stock on Market. Init_Single.py ------ update specific stock daily price information on Market. Created Q1 uploaded BP.py uploaded ChooseStock.py uploaded Q1_ChooseStock.py uploaded Q1_DC.py uploaded Q2_Choose.py uploaded Q2_DC.py uploaded Q2_Deal.py uploaded Q2_Filter.py uploaded Q2_main.py. uploaded Q3_BP.py uploaded Q3_Choose.py uploaded Q3_DC.py uploaded Q3_Deal.py uploaded Q3_Filter.py uploaded Q3_Show_Wave.py uploaded Q3_Show_Wave_Current.py uploaded Q3_Update_Big_Order.py uploaded Q3_Update_GoodPool.py uploaded F0_DC.py uploaded F0_Init_FutureAll.py uploaded Init_Wave.py uploaded Init_StockALL.py uploaded Init_StockALL_Sp.py uploaded Cap_Update_daily.py. uploaded Q4_BP.py uploaded Q4_Choose.py uploaded Q4_DC.py uploaded Q4_DC_Single.py uploaded Q4_Deal.py uploaded Q4_Filter.py uploaded Q4_GoodPool.py uploaded Q4_Operator.py uploaded Q4_Single.py uploaded Q4_Single_Cur.py uploaded Q4_ModelEvaluate.py uploaded Q4_Init_GoodPool.py uploaded Q4_MyModel.py uploaded Q4_main.py. uploaded Q5_DC.py uploaded Q5_Deal.py uploaded Q5_Filter.py uploaded Q5_GoodPool.py uploaded Q5_Operator.py uploaded Q5_Show_Finance.py uploaded Q5_main.py uploaded Q6_Deal.py uploaded Q6_Operator.py uploaded Q6_DC.py uploaded Q6_Filter.py.

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Quality

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Support

Quant has a low active ecosystem.

It has 0 star(s) with 5 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Quant has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Quant is current.

Quality

Quant has no bugs reported.

Security

Quant has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Quant does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Quant releases are not available. You will need to build from source code and install.

Quant has no build file. You will be need to create the build yourself to build the component from source.

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Quant Key Features

No Key Features are available at this moment for Quant.

Quant Examples and Code Snippets

No Code Snippets are available at this moment for Quant.

Community Discussions

No Community Discussions are available at this moment for Quant.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Quant

You can download it from GitHub.
You can use Quant like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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