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NL-Trader

NL-Trader is a project where my colleague and I aim to develop a chatbot capable of generating Python code for trading strategies based on instructions provided by traders in natural language.

This tool bridges the gap between trading experts and coding by automating strategy implementation.

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Project Structure

We are using a monorepo structure:

• Backend: Written in Python (Flask), located in the backend directory.
• Frontend: A React.js application (TypeScript), located in the root directory.

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Setup Instructions

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Install dependencies:

   pip install -r requirements.txt

3. Copy contents of .env.local and paste your Google API KEY in a new file called .env

4. Start the Flask server:

   flask run

Frontend Setup

1. Navigate to the root directory.
2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev