Alpaca-Streaming-Data
Stars
7
Ecosystems:
Python
FinRL-project
Project Proposal:
It has the entire pipeline of model serving, backend, and frontend to create a demo for users of the FinRL to test out the live performance of the RL trading agents. Here is the workflow that I have thought of:
- It starts with training and tuning a minute level model for multiple stocks and cryptocurrency
- Serving the model using FastAPI
- For live minute-level data using we will be using WebSockets from Alpaca and Binance and stream data to our model to get the actions i.e how many stocks to transact
- Based on this information, we will be using Streamlit to showcase visualizations like CandleSticks and performance indicators on the web
Follow the instructions to run the repository
pip install -r requirements.txt
To start streaming data, run
python final_stream.py
To start the streamlit application, run
streamlit run final_plot.py