Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/amitasj7/stockvision
StockPredictor is a machine learning-based project designed to forecast stock prices using historical data and various predictive algorithms. This tool provides users with insights into potential future stock performance, allowing for informed investment decisions.
https://github.com/amitasj7/stockvision
bootstrap django html-css-javascript python sqlite stock-price-prediction
Last synced: 15 days ago
JSON representation
StockPredictor is a machine learning-based project designed to forecast stock prices using historical data and various predictive algorithms. This tool provides users with insights into potential future stock performance, allowing for informed investment decisions.
- Host: GitHub
- URL: https://github.com/amitasj7/stockvision
- Owner: amitasj7
- License: apache-2.0
- Created: 2024-10-19T19:19:56.000Z (28 days ago)
- Default Branch: master
- Last Pushed: 2024-10-20T20:33:53.000Z (27 days ago)
- Last Synced: 2024-11-01T19:06:05.097Z (15 days ago)
- Topics: bootstrap, django, html-css-javascript, python, sqlite, stock-price-prediction
- Language: Python
- Homepage: https://stockvision-hvxr.onrender.com
- Size: 6.46 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## Hello Developers, This is a Stock-market-prediction tool according to daywise.
### Run into a locally Server -
**STEP 1:** Create a virtual environment
(For Windows)
```bash
python -m venv virtualenv
```
(For MacOS and Linux)
```bash
python3 -m venv virtualenv
```
**STEP 2:** Activate the virtual environment.
(For Windows)
```bash
virtualenv\Scripts\activate
```
(For MacOS and Linux)
```bash
source virtualenv/bin/activate
```
**STEP 3:** Install the dependencies.
```bash
pip install -r requirements.txt
```
**STEP 4:** Migrate the Django project.
(For Windows)
```bash
python manage.py migrate
```
(For MacOS and Linux)
```bash
python3 manage.py migrate
```
**STEP 5:** Run the application.
(For Windows)
```bash
python manage.py runserver
```
(For MacOS and Linux)
```bash
python3 manage.py runserver
```
### Deploy your Project On Render.com platform -
**Step 1:** Build Command - ./build.sh
**Step 2:** Start Command - gunicorn core.wsgi:application
**Step 3:** Enviorment Variable - PYTHON_VERSION : 3.11.5 (your latest version)