mod5project
Unverified ML strategy on Indices by FoamoftheSea. BotFinder score 18 out of 100.
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
Source: github
BotFinder analysis pending.
mod5project
Project Links: - Blog Post - Summarizes research, methodology, and conclusions of this study with coding examples. - Non-technical Presentation - Presents business insights gained from this study for a non-technical audience. - Web Scraper Repository - Original repo of web scraper used to gather data for this study. Also see 'botfunctions.py' in this repo for the same code. Building Long/Short Equity Investment Portfolio using Machine Learning On May 8th, 2020, I deployed a web scraper on TD Ameritrade's website to gather all of the fundamental data available there on the securities in the S&P 500 at that time into a clean, Python-ready database of .csv files. Now, six months later, I performed an in-depth study on the ability of various machine learning algorithms to utilize it in a variety of regression/classification tasks which might provide a trading edge in the market. Several target variables were modeled in order to see what kinds of questions the data could prove useful in answering. First, a value investing perspective was taken, in which the data were used to model the cur
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Open-source maintainer on GitHub.
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