Coding A Full Stock Prediction Tool By Prompt (Warp, Python, React)

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Today we are going to build a full stock prediction tool in Python. We will train a model with PyTorch, build a back-end with FastAPI, a front-end with React and then we are going to deploy the entire thing with Docker and NGINX. All of this will be done by prompt using Warp.

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Timestamps:
(0:00) Intro
(0:57) Preview
(2:08) Plan For Project
(4:47) Training Model with PyTorch
(12:30) FastAPI Back-End
(18:50) React Front-End
(28:40) Docker & Containerization
(36:49) Deployment
(49:08) Outro