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涨停因子

alpha-101-gtja-191

alphasickle

多因子指数增强策略/多因子全流程实现

ashare

股票行情实时数据接口-A股,完全免费的沪深证券股票数据-**股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集，系统包括新浪腾讯双数据核心采集获取，自动故障切换，STOCK数据格式成DataFrame格式,可用来查询研究量化分析，股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量，更加专注于策略和模型的研究与实现。

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

backtrader_multifactors

BackTrader多因子回测框架 （Multi-factors backtesting framework for BackTrader）

bert-stock-prediction-using-nlp

In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings

books

earnings-calls-nlp

Machine Learning Natural Language Processing analysis of earnings call transcripts for logistic regression classification to make 'buy', 'sell' or 'hold' calls on stocks.

eastmoney_spider

爬取东方财富网上市公司的财务报表数据

eastmoneyspider

东方财富网股吧爬虫

easyhistory

用于获取维护股票的历史数据

easytrader

提供券银河/银河客户端/广发/湘财证券/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

fake_news_during_election

good-morning

Simple Python module for downloading fundamental financial data from financials.morningstar.com.

google_screener_data_extract

Retrieving of financial metrics of various stocks using python

google_search_module

Retrieve google results using python

guba_analysis

learn-python3

Jupyter notebooks for teaching/learning Python 3

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-with-python

Python code for common Machine Learning Algorithms

marketvectors

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

mlfactor.github.io

Website dedicated to a book on machine learning for factor investing

morningstar_stock_finance_stat_scraping

Retrieving historical financial stocks data from MorningStar

news-corpus-builder

Automatic News Corpus Builder

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

optiver-trading-close

paddlenlp

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

research-report-classification-system

爬取东方财富的宏观研究的研报，基于LSTM进行情感分析，分类为正向、负向和中性三类

screener