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TranslatedLLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

A self-hosted UPI & COD payment gateway with zero per-transaction platform fees, universal JavaScript checkout integration, dynamic QR payments, WhatsApp OTP authentication, and automated payment verification.

ACH implements a reader, writer, and validator for Automated Clearing House (ACH) files. The HTTP server is available in a Docker image and the Go package is available.

  • ach
  • automated-clearing-house
  • money
  • golang-library

Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.

  • strategy
  • technical
  • analysis
  • stock

The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.

  • automatic-differentiation
  • aad
  • algorithmic-differentiation
  • autodiff

Steam's protocol in Go to allow automation of different actions on the Steam network without running an actual Steam client. Includes APIs for friends, chatting, trading, trade offers and TF2 crafting.

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.