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MLTradingBot based on ML Model analysing the market sentiments by fetching the news and taking trades appccordingly

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TraderBot

Build a trader bot which looks at sentiment of live news events and trades appropriately.

See it live and in action 📺

Startup 🚀

  1. Create a virtual environment conda create -n trader python=3.10
  2. Activate it conda activate trader
  3. Install initial deps pip install lumibot timedelta alpaca-trade-api==3.1.1
  4. Install transformers and friends pip install torch torchvision torchaudio transformers
  5. Update the API_KEY and API_SECRET with values from your Alpaca account
  6. Run the bot python tradingbot.py

N.B. Torch installation instructions will vary depending on your operating system and hardware. See here for more: PyTorch Installation Instructions

If you're getting an SSL error when you attempt to call out to the Alpaca Trading api, you'll need to install the required SSL certificates into your machine.

  1. Download the following intermediate SSL Certificates, these are required to communicate with Alpaca
  1. Once downloaded, change the file extension of each file to .cer
  2. Double click the file and run through the wizard to install it, use all of the default selections.

# Other References 🔗

-Lumibot:trading bot library, makes lifecycle stuff easier .

Who, When, Why?

👨🏾‍💻 Original Author: Nick Renotte
📅 Version: 1.x
📜 License: This project is licensed under the MIT License

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MLTradingBot based on ML Model analysing the market sentiments by fetching the news and taking trades appccordingly

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