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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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9 results for “StockTwits”

Inside the Mind of Investors During the COVID-19 Pandemic: Evidence from the StockTwits Dataq-fin.ST

Study investor sentiment and disagreement on StockTwits during COVID-19.

problem Understanding investor beliefs and sentiment during the pandemic.

method Analysis of social media data (StockTwits) for investor messages.

result Sentiment and disagreement sharply decreased in early March 2020, followed by a reversal.

COVID-19 Investor Sentiment Social Media StockTwits Sentiment Analysis

2020-04-24abs ↗pdf ↗

Text Mining of Stocktwits Data for Predicting Stock Pricesq-fin.ST

FinALBERT predicts stock prices using labelled Stocktwits data.

problem Efficient stock price prediction with limited labelled datasets.

method FinALBERT is an ALBERT-based model trained on labelled Stocktwits data for financial text classification.

result FinALBERT achieves optimal results in predicting stock price changes.

stock price prediction text mining Stocktwits financial text classification BERT

2021-03-13abs ↗pdf ↗

Retail Investor Horizon and Earnings Announcementsq-fin.PR

The study reveals distinct patterns in retail investors' holding periods affecting stock returns.

problem Understanding the impact of retail investors' investment horizons on stock returns.

method Using self-reported holding periods from StockTwits, the study categorizes retail investors into long-horizon and short-horizon groups and analyzes their return patterns.

result Long-horizon retail investors exhibit underreaction to earnings announcements, while short-horizon investors show overreaction.

retail investors investment horizon earnings announcements return patterns StockTwits

2025-11-29abs ↗pdf ↗

Computing trading strategies based on financial sentiment data using evolutionary optimizationq-fin.PM

In this paper we apply evolutionary optimization techniques to compute optimal rule-based trading strategies based on financial sentiment data. The sentiment data was extracted from the social media service StockTwits to accommodate the level of bullishness or bearishness of the online trading community towards certain…

2015-04-12abs ↗pdf ↗

StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Seriescs.CL

StockEmotions dataset for financial sentiment and emotion analysis.

problem Limited resources for financial sentiment analysis.

method Collects 10,000 English comments from StockTwits, categorizes emotions into 12 classes.

result DistilBERT outperforms other models in sentiment classification, and Temporal Attention LSTM model achieves best performance in multivariate time series forecasting.

financial sentiment emotion analysis StockEmotions DistilBERT Temporal Attention LSTM

2023-01-23abs ↗pdf ↗

Tehran Stock Exchange Prediction Using Sentiment Analysis of Online Textual Opinionsq-fin.ST

In this paper, we investigate the impact of the social media data in predicting the Tehran Stock Exchange (TSE) variables for the first time. We consider the closing price and daily return of three different stocks for this investigation. We collected our social media data from Sahamyab.com/stocktwits for about three m…

2019-08-30abs ↗pdf ↗

Linking microblogging sentiments to stock price movement: An application of GPT-4q-fin.ST

GPT-4 improves stock price prediction from microblogging sentiments.

problem Improving stock price prediction using sentiment analysis of microblogs.

method Developed a novel method for contextual sentiment analysis using GPT-4, fine-tuning prompts for better accuracy.

result GPT-4 outperformed BERT in predicting stock price movements, achieving a peak accuracy of 71.47%.

GPT-4 BERT sentiment analysis stock price prediction microblogging

2023-08-31abs ↗pdf ↗

EmTract: Extracting Emotions from Social Mediaq-fin.PR

EmTract extracts emotions from financial social media text.

problem Understanding investor emotions in financial markets.

method Annotated data, DistilBERT model, embedding space augmentation.

result EmTract outperforms existing emotion classifiers.

Emotion extraction Social media Financial markets Investor emotions Emojis

2021-12-07abs ↗pdf ↗

Social Media Emotions and IPO Returnsq-fin.PR

Social media hype can misprice IPO stocks, leading to short-term gains but long-term losses.

problem Mispricing of IPO stocks due to social media hype.

method Analysis of investor emotions on StockTwits and Twitter.

result High pre-IPO enthusiasm leads to higher short-term returns but lower long-term returns.

IPOs Social media Hype Mispricing Emotions

2023-06-21abs ↗pdf ↗