​Build a Stock Market Research Agentic Workflow​

Everyone is sleeping on this new OCR model!

Datalab’s Chandra topped independent benchmarks and beat the previously best dots-ocr.

• Supports 40+ languages.

• Handles text, tables, and formulas seamlessly.

Here’s a test on Ramanujan’s handwritten letter from 1913.

100% open-source.

Find the GitHub repo here →

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​Build a stock market research Agentic workflow​

Recently, we talked about ​Sim, a lightweight, user-friendly framework to build AI agent workflows in minutes.

Key features:

• Real-time workflow execution

• Connects with your favorite tools

• Works with local models via Ollama

• Intuitive drag-and-drop interface using ReactFlow

• Multiple deployment options (NPM, Docker, Dev Containers)

Based on our testing, Sim is a better alternative to n8n with:

• An intuitive interface

• A much better copilot for faster builds

• AI-native workflows for intelligent agents

We used it to build a stock market research agent & connected it to Telegram in minutes.

Tech stack:

• ​Sim​ to build the workflow

• ​Firecrawl​ for web search

• Alpha-Vantage MCP to access stock market data

• Docker to locally host everything

The video at the top provides a step-by-step guide along with all the setup instructions.

You can also find all the details in Sim’s GitHub repository.

​GitHub repo →​ (don’t forget to star)

Thanks for reading!