This project demonstrates how you can use Redis Stack to create a real-time stock watchlist application. It uses several different features of Redis:

• Sets
• Pub/Sub
• Hashes
• RedisTimeSeries
• RedisBloom
• RedisJSON
• RediSearch

1. Install Docker

Set the following environment variables in a .env file in the root directory of the project:

1. APCA_API_KEY_ID: Your Alpaca API Key found on the Alpaca dashboard
2. APCA_API_SECRET_KEY: Your Alpaca API Secret found on the Alpaca dashboard

$ docker-compose --env-file ./.env up -d

After the containers are up and running (for the first time), go into the data directory and run:

$ pip install -r requirements.txt
$ python main.py

1. python 3.6+
2. pip

Create a .env file in the root directory of the project and set the following environment variables:

APCA_API_KEY_ID=<your-api-key>
APCA_API_SECRET_KEY=<your-api-secret>
REDIS_URL=<redis-url>
REDIS_OM_URL=<redis-url>

Create a .env file in the ui directory of the project and set the following envionrment variables:

NEXT_PUBLIC_API_URL=http://localhost:8000/api/1.0
NEXT_PUBLIC_WS_URL=ws://localhost:8000

From the root directory, run the following commands:

$ python -m venv ./.venv

Run the following commands in the stream directory:

$ pip install -r requirements.txt
$ python main.py

Run the following commands in the api directory:

$ pip install -r requirements.txt
$ uvicorn main:app

Run the following commands in the web directory:

$ npm install
$ npm run dev

1. There is a known issue with the Alpaca websocket API thread safety. You will find a workaround in the alpaca.py file.

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