Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.

IBKR trading platform integration with AI hedge fund

In this paper we researched the accuracy, usability and utilisation of prior knowledge in Bayesian time series for Marketing Mix Modeling.

Live-SWE-agent: live, runtime self-evolving software engineering agent

Automate trailing stop-limit sell orders on IBKR using Python and CSV input. Supports delayed data, avg buy price check, and GTC orders.

Real-time options trading bot for Interactive Brokers using XGBoost, VWAP, MACD, RSI, and a Tkinter GUI. Includes backtesting and live monitoring.

This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.

The Official Intrinio API Python SDK

This repo will have my Youtube videos

An AI Hedge Fund Team

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Performance analysis of predictive (alpha) stock factors

Official Repository for QuantAgent

A library of Jupyter notebooks and corresponding YouTube lectures by Roman Paolucci

VisualHFT is a WPF/C# desktop GUI that shows market microstructure in real time. You can track advanced limit‑order‑book dynamics and execution quality, then use its modular plugins to shape the an…

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…

A Model Context Protocol (MCP) server that provides a comprehensive set of tools for Python development

Some awesome prompts for Jules Agent

Code repository for the book "Hands On AI Trading with Python, QuantConnect, and AWS."

Deephaven Community Core

Utilities intended for use with Llama models.

An extremely fast Python package and project manager, written in Rust.

Python SDK for Llama Stack

Composable building blocks to build LLM Apps

[AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"

[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

The code used for the article "Interactive Brokers Python API (Native) – A Step-by-step Guide" on the AlgoTrading101 Blog

A personal automated trading system