Stars
Steps to disable bd-prochot bit on linux on select dell laptops
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
A brief computer graphics / rendering course
Financial Data Extraction from Investing.com with Python
A Python library to download, parse, and analyze SEC EDGAR filings at scale.
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.(可高度自定义的轻量级k线图,无第三方依赖,支持移动端)
This is a work in progress package that enables users to conduct fundamental financial research, utilising the SEC's EDGAR API.
Suprise earnings report only applied to Russell2000
This notebook visualizes Commitments of Traders (COT) data to compare commercial and non-commercial traders’ positioning in the market as well as look into open interest, weekly changes, and correl…
Forecasting Commitment of Traders Managed Money Positions
Linux driver for sending and receiving configuration from the Akai LPD8 Mkii (Mk2) device (and possibly other Akai devices).
🐻 Bear necessities for state management in React
10k filings analyzer powered by LLM
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Chat with PDF using LangChain, Streamlit, Ollama (for LLM inference) and PDFPlumber. Overall which is an example of a Retrieval-Augmented Generation (RAG) system with Deepseek r1 model.
A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable par…
Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Official Python Package for Algorithmic Trading APIs powered by AlgoBulls
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.