WalleZJ

Tearsheet_Generator

Creates a tearsheet of financial metrics for a stock of your choice.

HQChart

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,通达信语法,(麦语法),第3方数据替换接口

mongodb-tutorial-pymongo

Introduction to MongoDB using Pymongo driver

MongoDB_PyMongo_Tutorial

Introduction to MongoDB and tutorial to implement in Python using PyMongo

MongoDB-Python-Workshop

Workshop notebooks and material for building, populating, and reading data from MongoDB

clickhouse-stocks-analytics

The project for "Advanced Databases" class on "System and Software Engineering" master program at HSE University.

DeepSeek-Coder

DeepSeek Coder: Let the Code Write Itself

DolphinScheduler-MLOps-Stock-Analysis

Stock analysis MLOps system based on DolphinScheduler

mage-ai

🧙 Build, run, and manage data pipelines for integrating and transforming data.

fraud-detection

docker_env

Personal working log and md documents. Currently forcus on openshift4.

Machine-Learning-Engineering-with-MLflow

Machine Learning Engineering with MLflow, published by Packt

lineapy

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

manifests

A repository for Kustomize manifests

study-aid

AI powered learning platform

xtquant-doc

QMT极简版（miniQMT）API文档

miniqmt-demo

《miniQMT实盘量化》系列教程的代码仓库

vnpy_tora

VeighNa框架的华鑫奇点柜台接口

zipline_chstock

本地化zipline，并对其进行部分加工，适用于国内 day,minute 和tick数据的回测

zipline-trader

Zipline Trader, a Pythonic Algorithmic Trading Library with broker integration

czipline

A股zipline(1.2.0)

czipline

A股zipline(1.2.0)

uqer

Ptrade

python 股票交易接口 文档+示例代码

XtQuant

迅投QMT接口

uqer

Python 量化交易教程

noba

Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.

Black-Litterman-Model

使用Python复现Black-Litterman模型。Black-Litterman模型创造性地采用贝叶斯方法将投资者对预期收益的主观看法与资产的市场均衡收益相结合，有效地解决了Markowitz均值-方差模型中投资者难以准确估计各个投资品种预期收益率、以及其权重对预期收益率的极度敏感性这两大问题。本项目使用美国市场2009年-2019年十年间的10只股票数据进行回测，证明了合理观点对资产组合收益率具有显著的正面影响效果。

btoandav20

Support for Oanda-V20 API in backtrader

btconfig

btconfig provides a simple way to initialize a strategy using config files with additional features.