https://github.com/efe-eroglu/stock_market_price_prediction
The data of the top 30 companies with the highest volume on the Istanbul Stock Exchange were trained with different artificial intelligence models and transformed into tables.
https://github.com/efe-eroglu/stock_market_price_prediction
ann chartjs dtree nodejs random-forest reactjs stock-market stock-price-prediction
Last synced: 6 months ago
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The data of the top 30 companies with the highest volume on the Istanbul Stock Exchange were trained with different artificial intelligence models and transformed into tables.
- Host: GitHub
- URL: https://github.com/efe-eroglu/stock_market_price_prediction
- Owner: Efe-Eroglu
- License: mit
- Created: 2023-12-12T19:02:59.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-30T18:43:43.000Z (over 1 year ago)
- Last Synced: 2025-04-28T13:03:28.217Z (6 months ago)
- Topics: ann, chartjs, dtree, nodejs, random-forest, reactjs, stock-market, stock-price-prediction
- Language: JavaScript
- Homepage:
- Size: 9.1 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Stock Market Price Prediction
The outputs of artificial intelligence models trained on the financial data of the 30 most valuable companies in Borsa Istanbul and showing the accuracy change of artificial intelligence models according to the change of hyper parameters
### Repo
* [Only Front-End Repo](https://github.com/Efe-Eroglu/Stock_Market_Price_Prediction/tree/main/frontend)
* [Only Back-End Repo](https://github.com/Efe-Eroglu/Stock_Market_Price_Prediction/tree/main/backend)
# Images From the Project
### 1-) Main Page

### 2-) Login Page

### 3-) Tables
* **For Layer Value**

* **For Epochs Value**

* **For Dropout Value**

### Used Technologies
* **Front-End:** **` React `** **` Tailwind `** **` Ant Design `** **` ChartJs `**
* **Back-End:** **` Express `** **` Axios `** **` Mongoose `**
### Frontend Start
```bash
npm run dev
```
### Backend Start
```bash
npm start
```