Data-Driven Alpaca Paper Trading Automation
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This workflow automates a data-driven paper trading strategy on Alpaca. It fetches daily stock sentiment scores from Google Sheets, identifies top-performing assets, and executes simulated buy/sell orders. Simultaneously, it tracks daily account balance and performance in a Google Sheet.
About This Workflow
Unlock the power of automated trading with this n8n workflow designed for Alpaca Paper Trading. This comprehensive solution integrates market sentiment analysis from Google Sheets to inform your investment decisions. Automatically retrieve your Alpaca account details, identify top-performing stocks based on daily sentiment scores, and execute simulated market orders for both buying and selling. Beyond execution, the workflow diligently records your daily balance and equity changes, providing valuable insights into your strategy's performance directly within your Google Sheet. Ideal for aspiring traders and developers looking to test algorithmic strategies without real-world risk.
Key Features
- Automated Alpaca Paper Trading: Seamlessly connect to Alpaca's paper trading API to execute simulated buy and sell orders.
- Sentiment-Driven Strategy: Leverage external sentiment scores (from Google Sheets) to identify and prioritize potential investment opportunities.
- Portfolio Performance Tracking: Automatically log daily account balances, equity, and performance changes into Google Sheets for easy monitoring and analysis.
- Dynamic Order Management: Close existing positions (
DELETEmethod) and open new market buy orders based on your defined strategy. - Customizable Logic: Easily adapt the sentiment filtering and trading parameters using n8n's code node and expression capabilities.
How To Use
- Configure Alpaca Credentials: Set up your
httpCustomAuthandhttpQueryAuthcredentials for Alpaca in n8n. Ensure you use thepaper-api.alpaca.marketsendpoint for simulated trading. - Prepare Google Sheets: Create a Google Sheet named "Stock Sentiment". Ensure it has a sheet named "sentiments" with a
datecolumn andsentimentScorefor assets, and another sheet named "balance" withdate,balance, andchangecolumns. - Connect Google Sheets Credentials: Authenticate your Google Sheets node with
Google Sheets accountcredentials. - Review Sentiment Logic: Inspect the
filter_top_sentiment_scorecode node to understand how top assets are selected. Adjust theslice(0, 4)to change the number of assets considered. - Customize Trading Parameters: Modify the
Alpaca-post-order-buynode to adjust thenotionalvalue (investment amount per symbol) or order type as needed. - Connect Logic (Implicit): Manually connect the
filter_top_sentiment_scoreoutput to your buy/sell logic (e.g., using anIFnode orSplit In Batchesif not already done) to trigger theAlpaca-post-order-sellandAlpaca-post-order-buynodes based on your strategy. - Schedule Execution: Set up a schedule trigger (e.g., daily) to run the workflow automatically.
Apps Used
Workflow JSON
{
"id": "8c46e277-a480-440b-859f-24d6a471a64f",
"name": "Data-Driven Alpaca Paper Trading Automation",
"nodes": 17,
"category": "Personal",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8c46e277-a480...
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