A multi-agent LLM framework for equity analysis, built on TradingAgents with a persistent memory system, FinBERT-based sentiment preprocessing, and a backtesting engine. FinBERT weights (~440 MB) are ...
Abstract: Financial sentiment analysis (FSA) is crucial for evaluating market sentiment and making well-informed financial decisions. The advent of large language models (LLMs) such as BERT and its ...
ABSTRACT: In order to reveal the manifestations and mechanisms of the cross-language and cross-platform financial digital divide in the social media era, this study is supported by the theory of ...
ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...
In this project, we explore the sentiment of the Federal Open Market Committee (FOMC) communications during 2018-2019 and 2024-2025, focusing on Meeting Minutes, Fed speeches, and Press Conference ...
Abstract: Accurate extraction and categorisation of large amount of textual data is pivotal for efficient decision-making in this rapidly changing domain of finance. In this technical paper, the ...
Coding in code editors like Visual Studio Code is great, as they provide numerous facilities to make your life as a programmer easier. You’ll be able to appreciate them once you start programming. You ...
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