analytics

Daily Stock Analysis

Name: Daily Stock Analysis
Author: ZhuLinsen

Get intelligent A/H/US market insights with daily_stock_analysis.

intermediate⏱ 1-2 hours💵 Free + LLM API costs

62,997 stars52,977 forksPythonGuide quality 8/10Updated 8/15/2026100% free · open source

What it is

Get market insights with daily-stock analysis.

Real use case example

"A founder who needs to stay up-to-date on market trends can automate daily stock reporting and analysis by integrating this skill with their existing tools and databases."

Best insideAny AI Client

When to use it

•When needing AI-driven stock analysis for A/H/US markets
•For founders requiring real-time market insights and news updates
•When wanting to automate stock analysis with a zero-cost, scheduled running system

Ready-to-paste prompt

python main.py --market=A --interval=1d --dashboard=True

Heads up: The tool requires a specific Python version and dependencies, which can be found in the README, so ensure to use a compatible Python environment to avoid compatibility issues.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/daily-stock-analysis && curl -fsSL https://workflowstacks.com/api/skills/daily-stock-analysis/claude-skill -o ~/.claude/skills/daily-stock-analysis/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Daily Stock Analysis works

Codeflow

Free to inspect

Daily Stock Analysis is a very large Python project (~227k lines across 534 code files, plus 369 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size

Very large codebase

~227k lines · 534 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Python · Docker

Needs API keys (.env)

Python 78%TypeScript 20%JavaScript 1%CSS 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
main.py
Where the program starts running
4
pyproject.toml
Dependencies and the commands it exposes
5
.env.example
The API keys and settings you must provide

What's in each folder

src/Core code — the actual logic245 files

apps/Sub-packages / plugins309 files

api/Backend / API38 files

docs/Documentation113 files

templates/Templates4 files

scripts/Helper scripts26 files

bot/Folder22 files

data_provider/Folder18 files

READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/daily-stock-analysis && curl -fsSL https://workflowstacks.com/api/skills/daily-stock-analysis/claude-skill -o ~/.claude/skills/daily-stock-analysis/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

ZhuLinsen

Language

Python