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59 public repositories
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一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )
Updated
May 15, 2020
Python
📈 韭菜盒子——VSCode 里也可以看股票 & 基金实时数据，做最好用的投资插件 🐥
Updated
Jun 7, 2021
TypeScript
自选基金助手是一款Chrome扩展，用来快速获取关注基金的实时数据，查看自选基金的实时估值情况
Passive Investing for the Average Joe
Updated
Apr 8, 2021
Python
Golang实现，财报分析，股票检测，基本面选股，基金检测，基金筛选，4433法则，基金持仓相似度
Updated
Jan 29, 2020
Python
efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库，回测以及量化交易的好帮手！🚀 🚀 🚀
Updated
Aug 17, 2021
Python
A Fund Price Prediction Framework (LSTM-based, web scraping included) 天天基金网爬虫+基金预测
Updated
Nov 7, 2020
Python
Updated
Aug 16, 2021
Python
Fund是一个方便在终端环境下追踪基金趋势的小工具
Updated
Mar 15, 2018
JavaScript
A laravel package to easily integrate interswitch.
Updated
Aug 7, 2020
JavaScript
基金估值净值简易查询命令行版本，Python3爬虫实现，数据源为天天基金网站，喜欢玩基金的小伙伴一定不要错过
Updated
Dec 30, 2020
Python
Updated
Nov 4, 2018
JavaScript
some python scripts for Stock and Funds
Updated
Sep 13, 2018
Python
Short-term momentum trading strategy implemented for the lecture "Systematic risk premia strategies traded at hedge funds" at University of Zurich, FS 2018.
私募基金管理人查询数据接口。Chinese Private Equity Funds APIs.
Updated
Oct 8, 2018
Python
网格交易平台，提供基金数据实时查询，网格交易，关注，涨跌幅自动计算，收益率计算，止盈率提示灯功能。目前功能尚在开发中，基于vuejs+vue-element-template开发；
Updated
May 6, 2021
Python
天天基金爬虫，抓取市面上所有基金信息\基金净值\基金成分\基金公司\基金经理
Updated
Jul 1, 2021
Python
韭菜助手：一款Chrome浏览器插件，主要帮助新手更好的进行基金定投，使用方法在README.md中已演示，由于Chrome注册开发者需要$5的注册费，所以目前此插件暂未发布到应用市场。后期会根据情况进行一些功能调整。
Updated
May 11, 2020
JavaScript
PHP Script For Loan Fund Management
Updated
Jul 23, 2020
JavaScript
Hold on a sec. Almost there!
Updated
Jun 2, 2021
Python
Updated
Nov 13, 2018
JavaScript
A Python script that periodically scrapes and maintains the history of the fund value on the Covid-19 Healthcare and Social Security Fund's website
Updated
Aug 17, 2021
Python
TheCrowdChain - Blockchain fund raising & charity platform
Updated
Aug 12, 2021
JavaScript
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It could be help full to create an image based on the
selery.ymlthat shows the weight relationship between each other.