Scalable, event-driven, deep-learning-friendly backtesting library

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks."

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

A Quantity calculator which suggests you best position size following your Risk Management.

My thesis 🏅

Base indicators and forecasting models for statistics and quantitive analysis

The ModFin project aims to provide users with the necessary tools for modeling and analyzing individual assets and portfolios.

Part of my master's thesis, this repository showcases my foray into quantitative research, reflecting my analytical prowess through complex data manipulation and advanced statistical strategies, harnessed to distill actionable insights in the realm of financial markets.

An advanced platform for quantitative trading strategies, including AI-driven price prediction models and user management systems. Emulating institutional-grade practices like Citadel, it facilitates the development, training, and deployment of machine learning models for precise market forecasting.