{"repo":"quantium-ai/research","free":true,"listed":false,"github":"https://github.com/quantium-ai/research","clone":"git clone https://github.com/quantium-ai/research.git","description":"Research experiments exploring uncommon quant techniques.","language":"Jupyter Notebook","stars":69,"topics":["analysis","jupyter-notebook","python","quant","quantitative-research","research","trading","ideas","uncommon","gpt"],"license":"MIT","category":"trading","readme_excerpt":"[!CAUTION] This project is intended for educational purposes only and does not constitute financial advice. The stock price predictions generated by this software are not guaranteed to be accurate and should not be relied upon for making investment decisions. The authors of this project are not responsible for any financial losses incurred as a result of using this software. Quantium Research This repository contains quantitative trading strategies and research experiments implemented as Jupyter notebooks. The goal of this public research is to demonstrate uncommon strategy ideas that I came up with or was inspired by a blog post, article, video, or somewhere else. Each notebook explores different approaches to market analysis and prediction, from traditional charting techniques to modern machine learning models.","default_branch":null,"files":null,"tree":[],"storefront":"/r/quantium-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/quantium-ai/research/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}