量化投资学习资料整理:学界(行为金融、投资者情绪、常用程序函数,etc);业界(公开资料整理,数据源,回测框架,卖方金工研报及复现,量化研究学习路线,etc)
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Updated
Feb 29, 2024 - Python
量化投资学习资料整理:学界(行为金融、投资者情绪、常用程序函数,etc);业界(公开资料整理,数据源,回测框架,卖方金工研报及复现,量化研究学习路线,etc)
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.
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.
A new era of cloud-native quantitative trading covering the complete pipeline of quant research + trading with automation at scale
GeoSpatial Analysis and Risk Modelling on NYC Taxi Shootings and Traffic Re-Route Algorithm
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 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.
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.
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.
Cegaware is a comprehensive solution for traders to design, price, and risk manage their financial contracts.
An empirical study investigating whether and how data integration should be incorporated directly into the visual analytics process
A comprehensive list of quantitative finance portfolio/strategy performance measures.
A factor-based investment strategy project in the Chinese A-share market
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