FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).

We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.

Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.

Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)

The saxo_openapi package provides easy access to SAXO Bank OpenAPI (https://www.developer.saxo/openapi/learn). Checkout the Jupyter notebooks covering most aspects of the API.

visualize financial microstructure 📈 & debug trading bots 🤖

Machine learning, database, and quant tools for forex trading.

Unlock Nepal Stock Exchange (NEPSE) data with this powerful unofficial API. Features REST, WebSocket, and a first-of-its-kind Model Context Protocol (MCP) server, enabling AI models like Claude to perform live market analysis with over 20 specialized tools. Strictly for educational and non-commercial use.

Get Real Time News and Market Data From CNBC Using ycnbc !!!

Python client for Finnhub API

Python Backtesting library for trading strategies

MeatPy

This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact with a mock trading environment using various algorithmic traders. The simulator includes a FIX (Financial Information eXchange) protocol handler, a market-making algorithm, and synthetic liquidity generation.

💹 StockSim: Multi-Agent LLM Financial Market Simulator — A realistic trading simulation platform for evaluating large language models in dynamic financial environments.

Some of the tasks and patches I completed in my internship with JP Morgan & Chase Co. Please 🌟 the repo if you like it ☝️

A Python SDK for FinancialData.Net API - Real-time & Historical Stock Market Data

Using Q-learning to better navigate orderbooks.

LLM structural reasoning validation via gamma exposure analysis in options markets. Papers 1 & 2 complete. Digital Finance (Springer) submission in progress.