A curated list of practical financial machine learning tools and applications.
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Updated
Jun 13, 2024 - Python
A curated list of practical financial machine learning tools and applications.
Investment Research for Everyone, Everywhere.
Portfolio optimisation library.
Parse and combine transactions from Avanza and Nordnet to get insights and details on your investments.
A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps. Contains tools for full Curveset construction with market standard optimisers and automatic differention (AD) and risk sensitivity calculations including delta and cross-gamma.
Here you see how to track your portfolio the right way
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
Create React App, React Hooks, TypeScript, React Transition, React Router, SCSS + font files, React SimpleBar, CRACO, Jest testing. Netlify / Vercel deploy. + HTML Email Template
Capital gain and dividend tax calculator for UK tax
Free and open-source stock tracking website for America's biggest money managers.
基于Python的开源量化交易平台开发框架
Predictor for stock and ETF prices
A Python program for optimizing investments over a defined period, taking into account various parameters such as initial investment, duration, savings rate, dynamics, interest rate, and costs. The program provides both tabular and graphical representation of the investment's development, along with a detailed analysis of the results.
A desktop crypto dashboard which provides a clear and concise interface to monitor your assets. Cryptocompare API key is required: https://min-api.cryptocompare.com/pricing
Django-napse is a portfolio management module using trading bots.
Automate the process of selecting underrated company to buy their stocks
📈 Better Quant
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
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