量化投资入门资料整理：1.多因子股票量化框架开源教程 2.学术界和业界的经典资料收录

QuantMind is an intelligent knowledge extraction and retrieval framework for quantitative finance.

Course Website Repo for JOURN 8006: Quantitative Research Methods in Journalism

UNMAINTAINED | R-package providing access to fundamental data and valuation metrics for thousands of publicly traded companies worldwide.

Official public repository of Berlin Quant Lab (BQλ), the quantitative finance initiative of the Berlin Investment Group (BIG). Featuring quantitative finance research, algorithmic trading strategies, market analyses, educational materials, and open-source projects.

A new era of cloud-native quantitative trading covering the complete pipeline of quant research + trading with automation at scale

Quantitative research of the Consumer Discretionary sector in the NYSE and NASDAQ exchanges to find an optimal pair of automotive stocks for use in a pairs trading strategy.

This repository contains the code for analyzing LGTBIQ-phobia on Twitter, focusing on Spanish tweets from June 28th (Pride Day) between 2015 and 2024, with a special focus on the impact of Elon Musk's acquisition of the platform. It includes data collection, toxicity classification using the Perspective API, statistical analysis, and visualization

Extracted financial data(equity, commodity) via APIs and web scraping. Created technical indicators(MA, MACD, RSI) and conducted fundamental analysis. Designed, backtested and assessed trading strategies to calculate KPIs(Sharpe, Sortino etc.). Implemented ML strategies to achieve full automation

This project investigates the nature of black hole singularities and the fate of an infalling observer. We explore the existence of strong and weak singularities, challenging the prevailing notion of a singularity as an unavoidable annihilation point.

A factor-based investment strategy project in the Chinese A-share market

A personal challenge to build a production-ready trading signal system for S&P 500 stocks using deep learning. This project progresses from basic ML models to a complete trading infrastructure, focusing on 5-day forward return prediction and signal generation.

Portfolio containing my past and current projects to demonstrate bit of my coding abilities, both in Python and C++

QuantHedge-MM implements advanced computational methods for pricing and hedging options in markets with stochastic regime shifts. Built for quants and researchers, it extends Black-Scholes to Markov-modulated models.

Quantitative Research @ EL Capital, Januray - May 2025

This repository contains resources related to, using resumes and job descriptions, the design of a system that enables the classification as suitable and not suitable between candidates and job positions in the field of software development and data science-related areas.

cheat sheet for design and analysis of quantitative study

Repository attached to a paper, published to SSRN, exploring the impact of geopolitical unrest and sentiment on financial markets.

Alpha research for UFC betting

A comprehensive list of quantitative finance portfolio/strategy performance measures.