MFE690 Capstone
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Updated
May 23, 2024 - Jupyter Notebook
MFE690 Capstone
The flagship product by Genesis Quantitative Platforms—an advanced algorithmic trading platform that offers an end-to-end solution to researching, testing and deploying algorithmic trading strategies for a network of assets
An empirical study investigating whether and how data integration should be incorporated directly into the visual analytics process
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)
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.
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.
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
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.
cheat sheet for design and analysis of quantitative study
UNMAINTAINED | R-package providing access to fundamental data and valuation metrics for thousands of publicly traded companies worldwide.
A factor-based investment strategy project in the Chinese A-share market
GeoSpatial Analysis and Risk Modelling on NYC Taxi Shootings and Traffic Re-Route Algorithm
Course Website Repo for JOURN 8006: Quantitative Research Methods in Journalism
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