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. )

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

A python wrapper for Alpha Vantage API for financial data.

iOS Y_KLine-v1.0：KLine、Chart、Volume、Scroll、Scale、MACD、KDJ、K线图、分时图...

AkShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

[Deprecated] iOS's Stocks App clone written in React Native for demo purpose (available both iOS and Android).

A collection of bookmarks, resources, articles for product designers.

30天掌握量化交易 (持续更新)

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

modular quant framework.

quant framework for stock

Strategies to Gekko trading bot with backtests results and some useful tools.

A STock Analysis and Research tool for terminal(cli) users. 技术控和命令行爱好者的 A 股辅助分析工具。

k线图/kline/kchart，已经集成MA/EMA/MACD/KDJ/BOLL/RSI/WR/AVG等指标，新增指标及其方便。适用于股票/区块链交易所等种类App。Swift5编写，CPU/内存占用率极低，60FPS稳定运行。示例集成websocket，并接入币安数据（需VPN）。

HQChart - H5, 微信小程序 沪深/港股/数字货币/期货/美股 K线图(kline),走势图,缩放,拖拽,十字光标,画图工具,截图,筹码图. 分析家语法,(麦语法),第3方数据替换接口

Using python and scikit-learn to make stock predictions

台灣股市股票價格擷取 (含即時股票資訊) - Taiwan Stock Opendata with realtime

Bringing financial analysis to the tidyverse

📈 NodeJS client for Robinhood Trading 🔥

👉一个基于spring boot 实现的java股票爬虫(仅支持A股)，如果你❤️请⭐ . V2升级版正在开发中！

Fetch stock quote data from Yahoo Finance

韭菜盒子——VSCode 里也可以看股票 & 基金实时数据，做最好用的养基插件

Draw the K-Line by Swift, support iOS & macOS

📈 台灣上市上櫃股票價格擷取（Fetch Taiwan Stock Exchange data）含即時盤、台灣時間轉換、開休市判斷。

Technical experimentations to beat the stock market using deep learning 📈

Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.