stock-daily-analysis

AI stock analysis for A-share, HK, and US markets generates technical indicators, trend predictions, and trading signals using LLMs. You simply provide a stock ticker like '600519' to receive an automated analysis dashboard and market review.

Performing LLM-driven technical stock analysis with MA, MACD, RSI, and bias indicators requires retrieving market data with pandas and akshare. The analysis uses DeepSeek, Gemini, or OpenAI models to process this data and output trading recommendations.

Running daily stock analysis requires python-dotenv and an OpenAI API key to authenticate LLM requests. The environment uses these dependencies alongside pandas, numpy, requests, and akshare to retrieve market data and generate AI-powered analysis.

You can integrate ETF market data into the AI stock analysis workflow by connecting with a market-data skill. This integration provides more stable ETF data alongside the standard akshare retrieval for comprehensive multi-market technical analysis.

The best way to automate daily stock trend predictions is using an LLM-driven analysis script that calculates technical indicators via numpy and pandas. This approach processes daily market data to automatically generate actionable trading signals for multi-market stocks.