A Discord bot to execute trade orders on the Interactive Brokers Trader Workstation

Team "Imperial Isle" Final Round Code for IMC Prosperity 3 Global Trading Challenge

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.0 Flash and OpenAI's GPT-4.1…

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

alpha101, alpha191, alphalens, backtrader, 量化研究

Use unsupervised and supervised learning to predict stocks

experiments with pair trading

All the code from my video "Backtesting.py - Full course in python"

Performance analysis of predictive (alpha) stock factors

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Collection of notebooks about quantitative finance, with interactive python code.

FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser & Trae AI (And other Open Sourced) System Prompts, Tools & AI Models.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

https://huyenchip.com/ml-interviews-book/

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

Transparent and Efficient Financial Analysis

B21145 - Deep Learning for Time Series Data Cookbook

TensorTrade-NG is an open source Python framework for building, training, evaluating, and deploying robust trading algorithms using reinforcement learning.

Data Engineering with AWS Cookbook, published by Packt

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Task-Aware Agent-driven Prompt Optimization Framework

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Fully local web research and report writing assistant

A library for prototyping generative AI applications.