QuantBrain Agent: An AI-Powered Automated Quantitative Research System for A-Share Market

QuantBrain Agent is an A-share investment research automation tool developed by the Dracccc02 team, based on a multi-agent architecture. It integrates the Qwen2.5-72B large model, knowledge graph, and LoRA fine-tuning technology. Every day at 9 AM, it automatically generates professional investment research reports and pushes them to Feishu, addressing the pain points of incomplete information coverage and delayed response in traditional investment research, and providing decision support for investors.

In the A-share investment field, the timeliness and depth of information processing determine the quality of decisions. However, massive data makes it difficult even for professional teams to achieve full coverage and real-time responses. The emergence of QuantBrain Agent marks a new stage in the deep application of AI in financial investment research. It is a complete multi-agent collaboration platform that generates daily reports covering dimensions such as market panorama and individual stock analysis.

The core architecture uses Qwen2.5-72B-AWQ as the intelligent core, adopting a multi-agent collaboration mechanism (data collection, knowledge graph, analytical reasoning, quality verification, and report generation agents). Key technologies include LoRA fine-tuning (efficiently adapting to financial needs), knowledge graph enhancement (structuring associated information), and reflection verification mechanism (improving output reliability).

After user configuration, it runs automatically at 9 AM every day: 1. Data collection (multi-source real-time capture of market quotes, news, and announcements); 2. Information integration (building market cognition combined with knowledge graph); 3. Intelligent analysis (multi-agent collaboration to study trends, evaluate individual stocks, and identify risks); 4. Report generation (structured professional documents); 5. Automatic push (Feishu API push to designated recipients).

Applicable to individual investors (institutional-level analysis to reduce information asymmetry), small private equity firms (assisting research teams with basic work), family offices (customized monitoring reports), and financial education (learning the logical framework of investment research).

It is in the form of a Windows desktop application, requiring Win10+, 8GB RAM, 4-core CPU, and 10GB disk space. Installation steps: Download the installation package → Run the installation → Configure Feishu API key. It supports basic settings (data refresh interval, recipients) and advanced adjustments.

Limited to the A-share market and does not constitute investment advice; analysis quality depends on the stability of data sources, and manual review is required in extreme market conditions; Feishu push requires ensuring network and API key validity.

In the future, it will integrate multi-modal data sources (images, voice, etc.) to enhance personalization and interpretability. QuantBrain Agent reshapes the investment research process through technologies such as multi-agent collaboration, reduces information costs, and provides efficient decision support, which is an important direction for the integration of AI and finance.