A program for financial portfolio management, analysis and optimisation.

An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.

Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.

Python package designed for general financial and security returns analysis.

Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.

A sentiment analyzer package for financial assets and securities utilizing GPT models.

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

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.

🤖 Predict the stock market with AI 用AI预测股票市场

Data repository of JSON files that are filed by US Senators on efdsearch.senate.gov where they must report their stock trades. This is the same data as on senatestockwatcher.com

tessa – simple, hassle-free access to price information of financial assets

提取财经新闻标题、链接整合排列后写入表格

Entropy Pooling in Python with a BSD 3-Clause license.

Use bokeh as the backend, you will get richer plot effects for backtrader

基于OpenAI的加密货币投资助手

实验室工作实录，一个二导

openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.

Simplified tracking of your investments

Chat interface for OpenBB based on a instruct finetuning of a LLM, similar to ChatGPT.