A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

Indicator TS delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

A framework for estimating Basel IV capital requirements.

An Excel integration of OpenGamma Strata.

A .NET implementation of Initial Margin models.

Jupyter notebook examples using QuantLib.

Financial Instruments encoded as Smart Contracts. 💰 🏦 📈 🌷 [Work In Progress]

This repository presents an algorithm for analyzing financial instruments based on the correlation coefficient. The algorithm allows to calculate the degree of the relationship.

Smart contracts for implementing complex OTC instruments and related infrastructure

A portfolio of financial instrument recommendations to the average investor regarding the allocation of one’s capital in constructing the optimal portfolio based on different degrees of risk aversion.

This repository implements a Linear Regression model for predicting prices of financial instruments like stocks, currencies, and cryptocurrencies. It includes data preprocessing, model training, and evaluation using performance metrics like Mean Squared Error and R-squared.