auto trigger daily
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name: Manual TradingAgents Analysis
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on:
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workflow_dispatch:
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inputs:
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ticker:
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description: 'Stock ticker symbol to analyze'
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required: true
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default: 'NVDA'
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type: string
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date:
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description: 'Analysis date (YYYY-MM-DD format, leave empty for today)'
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required: false
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default: ''
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type: string
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jobs:
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analyze:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Set analysis date
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id: set_date
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run: |
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if [ "${{ github.event.inputs.date }}" != "" ]; then
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echo "date=${{ github.event.inputs.date }}" >> $GITHUB_OUTPUT
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else
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echo "date=$(date +%Y-%m-%d)" >> $GITHUB_OUTPUT
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fi
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- name: Create output directory
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run: mkdir -p results/github-actions
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- name: Run TradingAgents Analysis
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env:
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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FINNHUB_API_KEY: ${{ secrets.FINNHUB_API_KEY }}
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TRADINGAGENTS_TICKER: ${{ github.event.inputs.ticker }}
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TRADINGAGENTS_DATE: ${{ steps.set_date.outputs.date }}
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TRADINGAGENTS_OUTPUT_PATH: results/github-actions/analysis-${{ github.run_number }}.md
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run: |
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python cli/non_interactive.py
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- name: Upload analysis results
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uses: actions/upload-artifact@v3
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with:
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name: trading-analysis-${{ github.event.inputs.ticker }}-${{ steps.set_date.outputs.date }}
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path: results/github-actions/
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retention-days: 30
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name: TradingAgents Analysis
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on:
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workflow_dispatch:
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inputs:
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ticker:
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description: 'Stock ticker symbol to analyze'
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required: true
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default: 'NVDA'
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type: string
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date:
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description: 'Analysis date (YYYY-MM-DD format)'
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required: false
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default: ''
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type: string
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deep_think_llm:
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description: 'Deep thinking LLM model'
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required: false
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default: 'o4-mini'
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type: string
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quick_think_llm:
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description: 'Quick thinking LLM model'
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required: false
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default: 'gpt-4o-mini'
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type: string
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max_debate_rounds:
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description: 'Maximum debate rounds'
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required: false
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default: '1'
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type: string
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online_tools:
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description: 'Use online tools (true/false)'
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required: false
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default: 'true'
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type: string
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debug:
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description: 'Enable debug mode (true/false)'
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required: false
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default: 'false'
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type: string
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schedule:
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# Run daily at 9 AM UTC (market open time)
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- cron: '0 9 * * 1-5'
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push:
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branches: [ main ]
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paths:
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- 'tradingagents/**'
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- 'cli/**'
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- 'requirements.txt'
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- '.github/workflows/trading-analysis.yml'
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jobs:
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analyze:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.11'
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- name: Cache pip dependencies
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uses: actions/cache@v3
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Set analysis date
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id: set_date
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run: |
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if [ "${{ github.event.inputs.date }}" != "" ]; then
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echo "date=${{ github.event.inputs.date }}" >> $GITHUB_OUTPUT
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else
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echo "date=$(date +%Y-%m-%d)" >> $GITHUB_OUTPUT
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fi
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- name: Create output directory
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run: mkdir -p results/github-actions
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- name: Run TradingAgents Analysis
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env:
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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FINNHUB_API_KEY: ${{ secrets.FINNHUB_API_KEY }}
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TRADINGAGENTS_TICKER: ${{ github.event.inputs.ticker || 'NVDA' }}
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TRADINGAGENTS_DATE: ${{ steps.set_date.outputs.date }}
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TRADINGAGENTS_DEEP_THINK_LLM: ${{ github.event.inputs.deep_think_llm || 'o4-mini' }}
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TRADINGAGENTS_QUICK_THINK_LLM: ${{ github.event.inputs.quick_think_llm || 'gpt-4o-mini' }}
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TRADINGAGENTS_MAX_DEBATE_ROUNDS: ${{ github.event.inputs.max_debate_rounds || '1' }}
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TRADINGAGENTS_ONLINE_TOOLS: ${{ github.event.inputs.online_tools || 'true' }}
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TRADINGAGENTS_DEBUG: ${{ github.event.inputs.debug || 'false' }}
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TRADINGAGENTS_OUTPUT_PATH: results/github-actions/analysis-${{ github.run_number }}.md
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run: |
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python cli/non_interactive.py
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- name: Upload analysis results
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uses: actions/upload-artifact@v3
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with:
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name: trading-analysis-results-${{ github.run_number }}
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path: results/github-actions/
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retention-days: 30
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- name: Comment on PR (if triggered by PR)
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if: github.event_name == 'pull_request'
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uses: actions/github-script@v6
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with:
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script: |
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const fs = require('fs');
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const path = require('path');
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try {
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const resultsPath = 'results/github-actions/analysis-' + context.runNumber + '.md';
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if (fs.existsSync(resultsPath)) {
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const content = fs.readFileSync(resultsPath, 'utf8');
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github.rest.issues.createComment({
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issue_number: context.issue.number,
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owner: context.repo.owner,
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repo: context.repo.repo,
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body: `## 🤖 TradingAgents Analysis Results\n\n${content}`
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});
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}
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} catch (error) {
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console.log('Could not read or post results:', error.message);
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}
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# GitHub Actions for TradingAgents
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This document explains how to set up and use GitHub Actions to run TradingAgents analysis automatically.
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## Overview
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We've created two GitHub Actions workflows:
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1. **Manual TradingAgents Analysis** (`.github/workflows/manual-analysis.yml`) - Simple workflow for manual triggering
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2. **TradingAgents Analysis** (`.github/workflows/trading-analysis.yml`) - Advanced workflow with more configuration options
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## Setup
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### 1. Add Repository Secrets
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You need to add the following secrets to your GitHub repository:
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1. Go to your repository on GitHub
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2. Navigate to **Settings** → **Secrets and variables** → **Actions**
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3. Add the following secrets:
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- `OPENAI_API_KEY`: Your OpenAI API key
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- `FINNHUB_API_KEY`: Your FinnHub API key
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### 2. Enable GitHub Actions
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The workflows will be automatically available once you push them to your repository. You can find them in the **Actions** tab.
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## Usage
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### Manual Analysis (Recommended for beginners)
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1. Go to the **Actions** tab in your repository
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2. Select **Manual TradingAgents Analysis**
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3. Click **Run workflow**
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4. Fill in the required fields:
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- **Ticker**: Stock symbol (e.g., `NVDA`, `AAPL`, `TSLA`)
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- **Date**: Analysis date in YYYY-MM-DD format (leave empty for today)
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5. Click **Run workflow**
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### Advanced Analysis
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1. Go to the **Actions** tab in your repository
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2. Select **TradingAgents Analysis**
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3. Click **Run workflow**
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4. Configure all the parameters as needed:
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- **Ticker**: Stock symbol
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- **Date**: Analysis date
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- **Deep Think LLM**: Model for deep thinking (default: `o4-mini`)
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- **Quick Think LLM**: Model for quick thinking (default: `gpt-4o-mini`)
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- **Max Debate Rounds**: Number of debate rounds (default: `1`)
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- **Online Tools**: Whether to use online tools (default: `true`)
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- **Debug**: Enable debug mode (default: `false`)
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## Environment Variables
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The non-interactive script (`cli/non_interactive.py`) uses the following environment variables:
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### Required
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- `TRADINGAGENTS_TICKER`: Stock ticker symbol to analyze
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- `OPENAI_API_KEY`: Your OpenAI API key
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- `FINNHUB_API_KEY`: Your FinnHub API key
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|
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### Optional
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- `TRADINGAGENTS_DATE`: Analysis date (default: today)
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- `TRADINGAGENTS_DEEP_THINK_LLM`: Deep thinking LLM model (default: `o4-mini`)
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- `TRADINGAGENTS_QUICK_THINK_LLM`: Quick thinking LLM model (default: `gpt-4o-mini`)
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- `TRADINGAGENTS_MAX_DEBATE_ROUNDS`: Maximum debate rounds (default: `1`)
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- `TRADINGAGENTS_ONLINE_TOOLS`: Use online tools (default: `true`)
|
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- `TRADINGAGENTS_DEBUG`: Enable debug mode (default: `false`)
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- `TRADINGAGENTS_OUTPUT_PATH`: Path to save results (optional)
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|
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## Results
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|
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After the workflow completes:
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|
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1. **Artifacts**: Analysis results are saved as GitHub artifacts that you can download
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2. **Logs**: Full execution logs are available in the workflow run
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3. **Output**: The final decision and analysis are displayed in the workflow output
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## Scheduled Runs
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The advanced workflow includes a scheduled run that executes daily at 9 AM UTC on weekdays (Monday-Friday). You can modify the schedule in the workflow file:
|
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|
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```yaml
|
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schedule:
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- cron: '0 9 * * 1-5' # Daily at 9 AM UTC, Monday-Friday
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```
|
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|
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## Local Testing
|
||||
|
||||
You can test the non-interactive script locally:
|
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|
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```bash
|
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# Set environment variables
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export OPENAI_API_KEY="your-openai-api-key"
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export FINNHUB_API_KEY="your-finnhub-api-key"
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export TRADINGAGENTS_TICKER="NVDA"
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export TRADINGAGENTS_DATE="2024-01-15"
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|
||||
# Run the analysis
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python cli/non_interactive.py
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||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Common Issues
|
||||
|
||||
1. **Missing API Keys**: Ensure both `OPENAI_API_KEY` and `FINNHUB_API_KEY` are set as repository secrets
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||||
2. **Invalid Ticker**: Make sure the ticker symbol is valid and exists
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3. **Date Format**: Use YYYY-MM-DD format for dates
|
||||
4. **API Limits**: Be aware of OpenAI and FinnHub API rate limits
|
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|
||||
### Debug Mode
|
||||
|
||||
Enable debug mode to get more detailed output:
|
||||
|
||||
```yaml
|
||||
TRADINGAGENTS_DEBUG: true
|
||||
```
|
||||
|
||||
### Cost Optimization
|
||||
|
||||
To reduce API costs:
|
||||
- Use `o4-mini` and `gpt-4o-mini` models
|
||||
- Set `max_debate_rounds` to `1`
|
||||
- Use `online_tools: false` if you have cached data
|
||||
|
||||
## Customization
|
||||
|
||||
You can customize the workflows by:
|
||||
|
||||
1. Modifying the workflow files in `.github/workflows/`
|
||||
2. Adding new environment variables to the non-interactive script
|
||||
3. Creating new workflows for specific use cases
|
||||
|
||||
## Security Notes
|
||||
|
||||
- Never commit API keys to your repository
|
||||
- Use GitHub Secrets for sensitive information
|
||||
- Consider using different API keys for testing vs production
|
||||
- Monitor your API usage to avoid unexpected costs
|
||||
27
README.md
27
README.md
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|
@ -43,7 +43,7 @@
|
|||
|
||||
<div align="center">
|
||||
|
||||
🚀 [TradingAgents](#tradingagents-framework) | ⚡ [Installation & CLI](#installation-and-cli) | 🎬 [Demo](https://www.youtube.com/watch?v=90gr5lwjIho) | 📦 [Package Usage](#tradingagents-package) | 🤝 [Contributing](#contributing) | 📄 [Citation](#citation)
|
||||
🚀 [TradingAgents](#tradingagents-framework) | ⚡ [Installation & CLI](#installation-and-cli) | 🎬 [Demo](https://www.youtube.com/watch?v=90gr5lwjIho) | 📦 [Package Usage](#tradingagents-package) | 🤖 [GitHub Actions](#github-actions) | 🤝 [Contributing](#contributing) | 📄 [Citation](#citation)
|
||||
|
||||
</div>
|
||||
|
||||
|
|
@ -192,6 +192,31 @@ print(decision)
|
|||
|
||||
You can view the full list of configurations in `tradingagents/default_config.py`.
|
||||
|
||||
## GitHub Actions
|
||||
|
||||
We've created GitHub Actions workflows to run TradingAgents analysis automatically. This is perfect for:
|
||||
|
||||
- **Automated daily analysis** of your favorite stocks
|
||||
- **CI/CD integration** for trading research
|
||||
- **Non-interactive execution** in cloud environments
|
||||
|
||||
### Quick Start
|
||||
|
||||
1. **Add Repository Secrets**: Set `OPENAI_API_KEY` and `FINNHUB_API_KEY` in your repository settings
|
||||
2. **Run Manual Analysis**: Go to Actions → Manual TradingAgents Analysis → Run workflow
|
||||
3. **Configure Parameters**: Enter ticker symbol and optional date
|
||||
4. **Get Results**: Download analysis results as artifacts
|
||||
|
||||
### Features
|
||||
|
||||
- ✅ **Manual triggering** with custom parameters
|
||||
- ✅ **Scheduled daily runs** (weekdays at 9 AM UTC)
|
||||
- ✅ **Artifact storage** for analysis results
|
||||
- ✅ **PR integration** with automatic commenting
|
||||
- ✅ **Cost optimization** with configurable models
|
||||
|
||||
For detailed setup and usage instructions, see [GITHUB_ACTIONS.md](GITHUB_ACTIONS.md).
|
||||
|
||||
## Contributing
|
||||
|
||||
We welcome contributions from the community! Whether it's fixing a bug, improving documentation, or suggesting a new feature, your input helps make this project better. If you are interested in this line of research, please consider joining our open-source financial AI research community [Tauric Research](https://tauric.ai/).
|
||||
|
|
|
|||
|
|
@ -0,0 +1,107 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
Non-interactive version of TradingAgents CLI for use in CI/CD environments like GitHub Actions.
|
||||
This script uses environment variables for configuration instead of interactive prompts.
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import datetime
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from tradingagents.graph.trading_graph import TradingAgentsGraph
|
||||
from tradingagents.default_config import DEFAULT_CONFIG
|
||||
from cli.models import AnalystType
|
||||
|
||||
|
||||
def get_env_or_default(key: str, default: str) -> str:
|
||||
"""Get value from environment variable or return default."""
|
||||
return os.getenv(key, default)
|
||||
|
||||
|
||||
def get_env_or_fail(key: str) -> str:
|
||||
"""Get value from environment variable or fail if not set."""
|
||||
value = os.getenv(key)
|
||||
if not value:
|
||||
raise ValueError(f"Environment variable {key} is required but not set")
|
||||
return value
|
||||
|
||||
|
||||
def run_non_interactive_analysis():
|
||||
"""Run TradingAgents analysis with environment variable configuration."""
|
||||
|
||||
# Get required parameters from environment variables
|
||||
ticker = get_env_or_fail("TRADINGAGENTS_TICKER")
|
||||
analysis_date = get_env_or_default("TRADINGAGENTS_DATE", datetime.date.today().strftime("%Y-%m-%d"))
|
||||
|
||||
# Get optional configuration from environment variables
|
||||
deep_think_llm = get_env_or_default("TRADINGAGENTS_DEEP_THINK_LLM", "o4-mini")
|
||||
quick_think_llm = get_env_or_default("TRADINGAGENTS_QUICK_THINK_LLM", "gpt-4o-mini")
|
||||
max_debate_rounds = int(get_env_or_default("TRADINGAGENTS_MAX_DEBATE_ROUNDS", "1"))
|
||||
online_tools = get_env_or_default("TRADINGAGENTS_ONLINE_TOOLS", "true").lower() == "true"
|
||||
debug = get_env_or_default("TRADINGAGENTS_DEBUG", "false").lower() == "true"
|
||||
|
||||
# Create custom configuration
|
||||
config = DEFAULT_CONFIG.copy()
|
||||
config["deep_think_llm"] = deep_think_llm
|
||||
config["quick_think_llm"] = quick_think_llm
|
||||
config["max_debate_rounds"] = max_debate_rounds
|
||||
config["online_tools"] = online_tools
|
||||
|
||||
print(f"🚀 Starting TradingAgents analysis for {ticker} on {analysis_date}")
|
||||
print(f"📊 Configuration:")
|
||||
print(f" - Deep Think LLM: {deep_think_llm}")
|
||||
print(f" - Quick Think LLM: {quick_think_llm}")
|
||||
print(f" - Max Debate Rounds: {max_debate_rounds}")
|
||||
print(f" - Online Tools: {online_tools}")
|
||||
print(f" - Debug Mode: {debug}")
|
||||
print()
|
||||
|
||||
try:
|
||||
# Initialize TradingAgents with custom config
|
||||
ta = TradingAgentsGraph(debug=debug, config=config)
|
||||
|
||||
# Run the analysis
|
||||
print("🔄 Running analysis...")
|
||||
_, decision = ta.propagate(ticker, analysis_date)
|
||||
|
||||
print("✅ Analysis completed successfully!")
|
||||
print("\n📋 Final Decision:")
|
||||
print("=" * 50)
|
||||
print(decision)
|
||||
print("=" * 50)
|
||||
|
||||
# Save results to file if output path is specified
|
||||
output_path = os.getenv("TRADINGAGENTS_OUTPUT_PATH")
|
||||
if output_path:
|
||||
output_file = Path(output_path)
|
||||
output_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
with open(output_file, 'w') as f:
|
||||
f.write(f"# TradingAgents Analysis Report\n")
|
||||
f.write(f"**Ticker:** {ticker}\n")
|
||||
f.write(f"**Date:** {analysis_date}\n")
|
||||
f.write(f"**Generated:** {datetime.datetime.now().isoformat()}\n\n")
|
||||
f.write(f"## Final Decision\n\n{decision}\n")
|
||||
print(f"💾 Results saved to: {output_path}")
|
||||
|
||||
return 0
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Error during analysis: {str(e)}")
|
||||
return 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Check if required API keys are set
|
||||
required_keys = ["OPENAI_API_KEY", "FINNHUB_API_KEY"]
|
||||
missing_keys = [key for key in required_keys if not os.getenv(key)]
|
||||
|
||||
if missing_keys:
|
||||
print(f"❌ Missing required environment variables: {', '.join(missing_keys)}")
|
||||
print("Please set these environment variables before running the analysis.")
|
||||
sys.exit(1)
|
||||
|
||||
# Run the analysis
|
||||
exit_code = run_non_interactive_analysis()
|
||||
sys.exit(exit_code)
|
||||
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Loading…
Reference in New Issue