Quants change noisy market data into signals. They use factor models, statistical filtering, and back testing. Then, they ...

Study shows structured AI analysis of corporate disclosures can improve stock selection and generate unique investment ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

This system analyzes the relationship between financial market news sentiment and quantitative trading opportunities, focusing on semiconductor stocks. The primary objectives are: Market Data (EOD API ...

Abstract: As a social media platform, Twitter significantly influences stock market movement in the contemporary digital era. Twitter users can share real-time events and opinions about financial news ...

This project analyzes Twitter sentiment regarding Indonesian protests that occurred in late August to early September, and examines their effect on the economy. twitter_sentiment_analysis/ ├── src/ │ ...