DSA - LLM for A/B Testing and Optimization
3.0DSA uses LLM to automate A/B testing and optimization, enhancing decision-making.
About
DSA (Deep Stock Analysis) is an intelligent stock analysis system powered by large language models (LLMs), designed specifically for investors in A-shares, Hong Kong stocks, and U.S. stocks. The system automatically integrates real-time market data, news sentiment, technical indicators, and fundamental data on a daily basis. Through AI reasoning, it generates individual stock decision references and market review reports, helping investors quickly grasp market trends amid vast amounts of information and improve decision-making efficiency.
Key Features
Pricing & Fees
- Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
- Open-source deployment: DSA is distributed via GitHub and can be run free of charge through GitHub Actions, local execution, or Docker deployment.
- Bring your own AI key: Users must configure their own AI provider key to generate reports, so LLM API usage costs are billed separately by the provider.
- Data sources: Market data is pulled from free and community sources such as AkShare, Tushare, YFinance, TickFlow, and Longbridge, with fallback chains.
- Notifications: Reports can be pushed to WeCom, Feishu, Telegram, Discord, Slack, or email at no extra platform fee.
Who It's For
Individual investors who want to save time on market review and quickly obtain multi-dimensional analysis references for stocks. Quantitative researchers can use LLM analysis output as supplementary input for fundamental and sentiment factors. Financial media creators can leverage DSA reports to quickly generate daily market commentary material. Investment advisors can use the system's output as an auxiliary analysis tool in client servicing.