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✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
A nicer way to view SEC 13F filings data
An all in one place, to find complex or just not available components by default on streamlit.
A secure authentication module to manage user access in a Streamlit application.
Python package to generate stock portfolios
Commerce demo store built for the Jamstack. Built with Commerce.js, Next.js, and can be one-click deployed to Netlify. Includes product catalog, customer login, categories, variants, cart, checkout…
HNPWA - Hacker News readers as Progressive Web Apps 📱
My personal portfolio website, proudly built with Next.js, TypeScript and Tailwind
Build cross-platform Native Progressive Web Apps for iOS, Android, and the Web ⚡️
Built a forum application with NextJs and Strapi
Starter kit for Headless CraftCMS with Next JS
The platform that powers republik.ch. A tailored solution for a membership based online magazine.
Static multi-language boilerplate with editable pages and navigation from the CMS using Netlify CMS + Next.js + SCSS + Typescript.
A well-structured production-ready frontend boilerplate with Typescript, React Testing Library, styled-component, React Query, .env, Axios, Bundle Analyzer, Prettier and 30+ plugins. superplate cr…
Sandocs Documentation Starter Website Template built with Next.js, TailwindCSS & Sanity CMS
Financial Data Extraction from Investing.com with Python
Python Jupyter Notebooks for Financial Portfolio Optimization
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A tool for portfolio managers: use the Black-Litterman model to view optimal portfolio allocations using several of the most popular optimization methods.
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and …
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
【Framework】Let the neural network 'freely' learn the relationship between different stocks. An intuitive example in quantitative finance, tensorflow 1.3.0.
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering