https://github.com/devradheee/stock-market-prediction-model
This project is a web application built with Streamlit that provides stock price predictions using the Prophet model. Users can select a stock and the number of years for prediction, and view both raw data and forecasted prices in interactive plots.
https://github.com/devradheee/stock-market-prediction-model
numpy plotly prompt python streamlit
Last synced: about 1 month ago
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This project is a web application built with Streamlit that provides stock price predictions using the Prophet model. Users can select a stock and the number of years for prediction, and view both raw data and forecasted prices in interactive plots.
- Host: GitHub
- URL: https://github.com/devradheee/stock-market-prediction-model
- Owner: devradheee
- Created: 2024-06-05T20:13:14.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-06-05T20:21:57.000Z (about 2 years ago)
- Last Synced: 2025-06-24T06:42:39.816Z (12 months ago)
- Topics: numpy, plotly, prompt, python, streamlit
- Language: Python
- Homepage: https://github.com/devradheee/Stock-market-Prediction-Model/tree/master
- Size: 50.8 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Predict Stock Prices with Python
Simple application for predicting stock prices using python.
Data collected from Yahoo finance, visualized in Streamlit.
Predictions made with Facebook Prophet
## Setup
Clone repo
```shell
git clone git@github.com:devradheee/stockpredictor-streamlit.git
cd stockpredictor-streamlit
```
Install dependencies
```shell
poetry install
```
Run
```shell
poetry shell
poetry run streamlit run main.py
```
## TODO
- [ ] Query any stock price (add more stocks) from Yahoo Finance
- [ ] Integrate or expand with `freqtrade` python API
- [ ] Add permanent storage with Postgres
- [ ] Add cashe storage with Redis
- [ ] Add users
- [ ] Extend UI to Svelte + TailwindCSS