DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
Platform for publishing models, datasets, and machine learning applications. This record links to the platform homepage.
Developer platform for hosting and collaborating on software repositories. This record links to the platform homepage.
Official QuantConnect MCP server: write Python trading strategies, run cloud backtests, and deploy live algorithms
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading Python · 3,618
Searchable database of SEC 13F institutional holdings filings across thousands of managers.
This is the official implementation of CIKM 2025 FinCast Financial Time series foundation model.
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts".
About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral).
MOMENT: A Family of Open Time-series Foundation Models, ICML'24.
IBM Granite TimeSeries foundation models, including TinyTimeMixers, for zero-shot and fine-tuned forecasting.
PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
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.
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
An awesome README template to jumpstart your projects!
Node.js connector for the FTX.com & FTX.us APIs and WebSockets, with TypeScript & browser support.
Python backtesting library powered by Rust: realistic execution, sub-second backtests, and large parameter sweeps for systematic trading research.
TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports
Nannyml: post-deployment data science in python
ConvFinQA is a conversational finance QA dataset requiring multi-step numerical reasoning over financial reports
One person can become their own super-analyst. Try it online
yajiya has 50 repositories available. Follow their code on GitHub.
Securing the Future of Web3. Quantstamp has 13 repositories available. Follow their code on GitHub.
Jenkins CICD Introduction Demo Code and Configs
Public repository by mulesoft-catalyst. Primary language: Shell.
enhansome has 2348 repositories available. Follow their code on GitHub.
App do projeto Awesome Invest desenvolvido utilizando o React Native com Typescript.
API de Gestão financeira desenvolvida utilizando o NodeJs, ExpressJs e o ORM Sequelize com Banco de dados MySql. Documentação utilizando Swagger. O Jest e…
Public repository by Adebara123. Primary language: Rust.
My implementation of "Build a Fintech Platform in Rust"
My implementation of "Build a Fintech Platform in Rust"
If you don't have ts-node to execute the typescript samples, install it using npm
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
Connexion is a modern Python web framework that makes spec-first and api-first development easy.
swagger-codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition.
Public repository by utopiapp123. Primary language: Python.
