# StockBabble: A Conversational Financial Agent to support Stock Market Investors

arXiv: https://arxiv.org/abs/2106.08298 · HTML: https://mlsanity.com/paper/2106.08298/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 14 references that are in the map.
- First posted on arXiv 15 Jun 2021.

## Builds on (most cited first, 1 of 1)

- [Is your chatbot GDPR compliant? Open issues in agent design](https://mlsanity.com/paper/2005.12644/) (2020)

## Built on by (most cited first, 2 of 2)

- [A Survey of Conversational Search](https://mlsanity.com/paper/2410.15576/) (2024)
- [Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation](https://mlsanity.com/paper/2602.16990/) (2026)

## Abstract (arXiv)

We introduce StockBabble, a conversational agent designed to support understanding and engagement with the stock market. StockBabble's value and novelty is in its ability to empower retail investors -- many of which may be new to investing -- and supplement their informational needs using a user-friendly agent. Users have the ability to query information on companies to retrieve a general and financial overview of a stock, including accessing the latest news and trading recommendations. They can also request charts which contain live prices and technical investment indicators, and add shares to a personal portfolio to allow performance monitoring over time. To evaluate our agent's potential, we conducted a user study with 15 participants. In total, 73% (11/15) of respondents said that they felt more confident in investing after using StockBabble, and all 15 would consider recommending it to others. These results are encouraging and suggest a wider appeal for such agents. Moreover, we believe this research can help to inform the design and development of future intelligent, financial personal assistants.