Annice Lemke's repositories
CANSLIM-Investment-Machine
A CANSLIM-based investment machine by East-Money API.
Quantitative-analysis
量化研究-券商金工研报复现
12306
12306智能刷票，订票
agent-search
Comprehensive Agent-First Framework and Dataset for Webscale Search
ai_quant_trade
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
awesome-panel
Awesome Panel supports Panel and its users. We provide a live Panel web site with an awesome list and a live gallery of apps with code. Panel makes it easy to build powerful data apps in Python using the tools you know and love. ❤️🐍📈
backtrader
Python Backtesting library for trading strategies
cheetah
High-speed and flexible data frame caching service
czsc
缠中说禅技术分析工具；缠论；股票；期货；Quant；量化交易
investment_vehicle
保存各种投资算法工具，方便自己使用
learn-hack
打造超人學習
ludic
Lightweight framework for building HTML pages in pure Python.
Minecraft
Simple Minecraft-inspired program using Python and Pyglet
ml-trading-book
This repository contains the python codes as well as data files which have been included in the ML for Trading ebook
panel-highcharts-cn
📈🛠️🐍❤️. The panel-highcharts package makes it really easy to use HighCharts in Python, Notebooks and with HoloViz Panel.
PersonalHomepage
使用Vue.js、Element UI作为前端，Python、Flask提供后端接口的一个前后端分离的导航页。Keywords：导航|主页|天气|书签|便签|翻译|苹果商店|App Store|价格监控|黄金|股票|基金|必应壁纸|热门新闻聚合|爬虫|网盘|图床|权限管理|短链接生成|异步脚本运行
profitable_cube_website1
盈利模方的官网
pybroker
Algorithmic Trading in Python with Machine Learning
pyfinance
Python package designed for general financial and security returns analysis.
pyfolio
Portfolio and risk analytics in Python
python-mastery
Advanced Python Mastery (course by @dabeaz)
python-whydo
Explore Python's charms by asking WHY questions
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
quantstats
Portfolio analytics for quants, written in Python
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tf-quant-finance
High-performance TensorFlow library for quantitative finance.