How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
gs-quant is a quantitative finance library and financial data analytics toolkit. It serves as a framework for analyzing financial data, developing systematic trading strategies, and managing risk exposure for derivative products in global markets. The project provides tools for quantitative financial analysis, quantitative portfolio modeling, and the development of systematic trading strategies. It enables the calculation of risk for derivative products to structure and hedge positions across markets.
Decentralized Derivatives Trading. Any Market. Anytime. Anywhere.
This repository contains three ways to obtain arbitrage: - Dual Listing Arbitrage - Options Arbitrage - Statistical Arbitrage
A library for financial options pricing written in Python.
Extensive broker library - Easily place orders - Retrieve past orders - Query a users portfolio - Supported brokers: - Robinhood - TDAmeritrade (in progress) - Oanda (in progress) - If you'd like to have another broker supported, submit an issue or a pull request - Data library - Real time quote…
The main features of torreyleonard/algotrader are: Trading and Derivatives.
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