AI Agent Analysis

ZhuLinsen/daily_stock_analysis

LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

stars

63k

Language

Python

GitHub

Source and compliance noteLast synced: Aug 16, 2026

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Original GitHub source Methodology Editorial Policy

Overview

This is an LLM-powered multi-market stock analysis system that aggregates market data, real-time news, and social sentiment to generate daily AI decision reports and push them to various messaging platforms. It supports zero-cost scheduled runs via GitHub Actions, Docker, or local cron, and offers a web/desktop workspace for manual analysis, backtesting, and multi-turn strategy Q&A.

Installation

Fork the repo, add API keys (e.g., ANSPIRE_API_KEYS) and notification webhooks as GitHub Secrets, then enable GitHub Actions; alternatively run via Docker or local cron.

Problem solved

It automates the entire daily stock analysis workflow—data collection, news aggregation, AI reasoning, and report delivery—eliminating manual research and repetitive tasks. It also lowers the barrier to entry by supporting free data sources and zero-cost cloud scheduling, making sophisticated multi-market analysis accessible to individual investors without infrastructure costs.

What you can build

Developers can build a personalized stock analysis assistant that covers A-shares, HK, US, Japan, Korea, Taiwan, and ETFs, with configurable AI models and data providers. It supports 15 built-in trading strategies (e.g., moving averages, Elliott Wave, trend following) for multi-turn Q&A, plus backtesting, portfolio tracking, and automated report generation. The ceiling includes fully automated daily briefings, real-time alerts, and integration with enterprise messaging platforms for team use.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

This framework is ideal for individual investors, developers, and financial enthusiasts who want a customizable, low-cost AI stock analysis tool with automated reporting. It should be avoided by those seeking professional-grade, regulated financial advice or who cannot tolerate data source instability. The key trade-off is between cost-effectiveness and reliance on potentially unreliable free data sources versus premium paid APIs.

Analyzed by Git-Stars - 8/10/2026

ZhuLinsen/daily_stock_analysis