Daily Stock Analysis

by ZhuLinsenAppMake visuals

Analyses your stock watchlist every day and sends you an AI-written report

The problem it solves

Every evening you open five charts and three news sites to see what happened to the stocks you hold, and you still miss the announcement that mattered.

For Individual investorsPeople tracking a watchlistA-share, HK and US stock followers

Before: You check quotes, indicators and news for each stock by hand after the market closes.
After: A report for each stock on your watchlist arrives in your chat app or inbox on a schedule, with risks, catalysts and price levels to check.

Stars: ★ 67k
License: MIT
Cost: Usage-based
Platforms: Mac · Win
Runs: Local · Self-hosted

Screenshots

From the project's own repository · 3 images, swipe or use the arrows.

The web workspace showing a stock analysis with a summary, sentiment gauge and price levels — Image: ZhuLinsen (MIT). Original file

The alert center with price and indicator rules for a watchlist — Image: ZhuLinsen (MIT). Original file

Overview

Daily Stock Analysis is an open-source app that reads market data and news for the stocks on your watchlist and asks an AI model to write a report for each one. Reports include a score, trend, risk alerts, catalysts and suggested price levels, and arrive in Telegram, Slack, Discord, email, Feishu or WeChat Work. It covers A-shares, Hong Kong, US, Japanese, Korean and Taiwan stocks. It suits individual investors who want a daily summary; the maker states it is not investment advice.

It runs on a schedule and brings the report to the chat app you already read, instead of you checking charts and news for each stock.

Try these first

Start with the first one: it is a small task you can check easily.

Analyse [stock code] and show me the report. Don't send it anywhere.First try · uses model credits
Run a market review for today and summarise the leading and lagging sectors.
Which risks did today's report flag for [stock code], and what news are they based on?
Send today's watchlist report to my Telegram.sends a message

Example prompts written by Agent Flows Hub.

Features

From the creator's documentation.

Feature	What it does	Runs
Daily reports	A score, trend, risk alerts, catalysts and price levels for each stock	Your computer
Market coverage	A-shares, Hong Kong, US, Japanese, Korean and Taiwan stocks and ETFs	Market data sources
Notifications	Pushes reports to Telegram, Discord, Slack, email, Feishu or WeChat Work	Your chat apps
Scheduled runs	Runs every weekday on GitHub Actions, Docker or the local scheduler	GitHub or your server
Strategy chat	Ask follow-up questions about a stock using built-in strategies	Model provider
Alerts	Rules that flag price breaks or indicator signals on your watchlist	Your computer

Good to know

You follow a handful of stocks and want one summary a day instead of checking each chart and news feed. The app collects quotes, indicators and news for your watchlist, has an AI model write a report and sends it to your chat app or email.

Limits

Reports are AI-generated and the maker states they are not investment advice. Check figures and news against your broker or an official source before acting.
The macOS app is not signed by Apple, so macOS may block it at first launch; free market-data sources can be rate-limited or change without notice.

Notes by Agent Flows Hub (original project name: daily_stock_analysis (股票智能分析系统)), written from the creator's documentation, not from running it ourselves. Daily Stock Analysis README (English) · Desktop client setup guide

Stuck setting it up?

Tell us what happened. We take a look first; if it needs paid work, you get an estimate before anything starts.

Get help

How to start

Get the appDownload it from the official page, or paste the install request into an AI agent you already use.
Open itFollow the first-run steps in the app.
Give it a first taskInstall the desktop app, add one model key and one stock code, and generate a single report. Compare its price and news with your broker's page.

Steps follow the creator's instructions. The request tells your agent to read them first and wait for your OK.

Before you start

A computer with macOS or Windows.
An API key from an AI model provider, such as Gemini, OpenAI, DeepSeek or Claude
A chat app or email address to receive reports, if you want them pushed
A GitHub account if you run it on a schedule with GitHub Actions
Pay per use. The AI service it calls charges for what you use.

Details

Made by: ZhuLinsen
License: MIT Terms
Platforms: macOS, Windows
Runs on: Your computer, Self-hosted server

View source Official docs Report a problem

For AI agents

This page as a Markdown install brief:

/en/library/daily-stock-analysis/install.md

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