[stocknear]

Hey guys,

Over the past year I've been working on my pet-project stocknear to help small investors to beat the hedgies with high-quality data + machine learning algorithm that mostly are based on certain papers to predict trends, price movement, sentiment analysis etc.

From today onwards the project is 100% Open-Source = Frontend+Backend.

The frontend is based on Sveltekit and Tailwindcss. The backend is a combination of FastAPI, Fastify and Pocketbase.

The reason why I wanted to open-source the project is to fight enshitification and also this field is filled with scammers and get-rich schemes. I wanted to become one of the few people who actually help users in the stock market without ads, tracking each movement or anything shady. An AI Stock Analysis Platform by the users, for the users.

Link: https://github.com/stocknear

[debo_]

It'll probably help you to prefix your title with "Show HN:"

It should get a lot more attention that way! (It shows up the "show" tab that way.)

[stocknear]

thanks for the tip

[jschveibinz]

Can you please explain exactly what your tool does for the investor? At first glance, I’m not sure how I would use the tool. Thank you.

[stocknear]

Sorry, I'm trying to create/reproduce machine learning models from articles in order to predict trends and price changes.

I'm attempting to be as transparent as possible by providing model metrics and open-sourcing the code.

My purpose is to provide a range of models for the general public who lack the necessary access or technical knowledge to develop it themselves.