analytics

Daily Stock Analysis

Name: Daily Stock Analysis
Author: ZhuLinsen

Get intelligent A/H/US market insights with daily_stock_analysis. For founders needing AI-driven stock analysis.

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

56,757 stars48,834 forksPythonQuality 8/10Updated 7/12/2026100% free · open source

What it is

Get market insights with daily-stock analysis.

What you can make with it

Automations like: pulling stock data from Amazon, sending real-time news and alerts, and making predictions with LLM-powered analysis.

How it helps

Get actionable intelligence on US, A, and H stock markets with minimal effort, saving you time and increasing investment confidence.

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."

If you're new

Beginners can pick this up when they start building simple automations and want to incorporate market analysis.

If you're senior

Senior engineers and professionals will appreciate this skill for its powerful, LLM-driven market analysis capabilities.

Common confusion cleared up

This skill may seem overwhelming due to its complexity, but it's designed to automate repetitive market analysis tasks, freeing up time for deeper insights.

Best inside these AI tools

Any AI Client

Pairs with

Notion databaseAmazon web servicesStripe webhookSelf-hosted

Why we list it on WorkflowStacks: This skill is included in the marketplace because it's a cost-effective, open-source AI-driven stock analysis system.

What it does

Daily_stock_analysis provides intelligent A/H/US market insights by analyzing multiple data sources, real-time news, and using LLM decision-making dashboards with multi-channel notifications.

Install / run

git clone https://github.com/ZhuLinsen/daily_stock_analysis.git

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

Quick start

1Navigate to the cloned repository: cd daily_stock_analysis
2Configure the LLM decision-making dashboard by modifying the dashboard.py file
3Set up real-time news updates by modifying the news.py file
4Schedule the analysis to run daily by modifying the scheduler.py file
5Run the analysis using the command: python main.py

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.

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