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How to install ZhuLinsen/daily_stock_analysis. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.

ZhuLinsen/daily_stock_analysis Installation Guide

How to install ZhuLinsen/daily_stock_analysis. Official project installation instructions and setup guide.

⚡

Automated Install (Recommended)

Quick installation instructions for ZhuLinsen/daily_stock_analysis. This is the fastest way to complete project installation and setup.

Install via curl

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i ZhuLinsen/daily_stock_analysis
or

Install via npx

npx @hexmos/ipm i ZhuLinsen/daily_stock_analysis

Prerequisites

Python

runtime

Version: 3.10+

Git

tool

Docker

container

Manual Installation Methods

Manual installation instructions. How to install from GitHub source.

GitHub Actions (Recommended)

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

cd daily_stock_analysis

echo 'AIHUBMIX_KEY=YOUR_AIHUBMIX_KEY' >> .github/workflows/secrets.yml

echo 'WECHAT_WEBHOOK_URL=YOUR_WECHAT_WEBHOOK_URL' >> .github/workflows/secrets.yml

echo 'STOCK_LIST=600519,hk00700,AAPL,TSLA' >> .github/workflows/secrets.yml

gh api repos/ZhuLinsen/daily_stock_analysis/actions/workflows/ci.yml/dispatches --method POST -f ref=main -f inputs='{"run_analysis": true}'

Local Installation

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

cd daily_stock_analysis

pip install -r requirements.txt

cp .env.example .env

vim .env

python main.py

Windows Installer

daily-stock-analysis-windows-installer-v3.14.1.exe

macOS ARM64 DMG

open daily-stock-analysis-macos-arm64-v3.14.1.dmg

macOS x64 DMG

open daily-stock-analysis-macos-x64-v3.14.1.dmg

Post Installation Steps

  • The system defaults to running automatically every weekday at 18:00 Beijing time.
  • You can also manually trigger the analysis from the Actions tab in GitHub.
  • For local or Docker deployment, refer to the full guide for setting up scheduled tasks and server access.
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