Video description
Presented by Brittany Rockwell
Researchers and financial practitioners alike are attempting to find meaningful applications for the newest advents in the field of natural language processing (NLP). Although language modelling for stock trading is not novel, the landscape has changed significantly in recent years. With the improvements of computational power, data storage and algorithmic efficiency, we have more data and modelling capacity at our disposal than ever before. A natural consequence of these changes is the exponential growth of available data. There is a growing need for automating the data exploration and identification process for low-latency downstream applications requiring timely forecasting or decision making. This talk will discuss some of the new advances in NLP and their relevance to text-driven trading.
Table of contents
Product information
- Title: Recent Advances in NLP and How they Impact Trading
- Author(s):
- Release date: March 2018
- Publisher(s): Data Science Salon
- ISBN: None
You might also like
book
ValuFocus Investing: A Cash-Loving Contrarian Way to Invest in Stocks
A must-read book for investors who prefer to pick stocks based on cash flow facts, not …
book
A Course on Statistics for Finance
Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment …
book
Performance Measurement in Finance
The distinction between out-performance of an Investment fund or plan manager vs rewards for taking risks …
book
Hedging Market Exposures: Identifying and Managing Market Risks
Identify and understand the risks facing your portfolio, how to quantify them, and the best tools …