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https://github.com/imwrdo/stock-indicator-macd
Numerical methods project on Gdansk University of Technology
https://github.com/imwrdo/stock-indicator-macd
matplotlib-pyplot pandas plot python3
Last synced: 12 days ago
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Numerical methods project on Gdansk University of Technology
- Host: GitHub
- URL: https://github.com/imwrdo/stock-indicator-macd
- Owner: imwrdo
- License: mit
- Created: 2024-03-30T09:05:33.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-03-30T09:23:09.000Z (10 months ago)
- Last Synced: 2024-03-30T10:23:29.025Z (10 months ago)
- Topics: matplotlib-pyplot, pandas, plot, python3
- Language: Python
- Homepage:
- Size: 167 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# MACD Indicator Analysis Project for PEKAO Bank Stock Data
## Project Description
The project presents an analysis of the MACD (Moving Average Convergence Divergence) indicator for historical stock data of PEKAO Bank. It is a technical analysis tool used by investors in the financial market to identify moments of buying or selling assets.
## Technologies
The project was implemented using Python and the following libraries:
- `pandas` for loading stock data from a CSV file,
- `matplotlib` for visualizing results by drawing charts.
## Stock Data
Stock data was obtained from the renowned financial platform [stooq.pl](https://stooq.pl/) and covers the period from March 12, 2020, to March 4, 2024. The analysis includes closing prices of the bank's shares.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/imwrdo/stock-indicator-MACD.git
```
2. Install the required dependencies:
```bash
pip install pandas | pip install matplotlib
```
## Example
## Contributing
Feel free to contribute to the project by submitting [issues](https://github.com/imwrdo/stock-indicator-MACD/issues) or [pull requests](https://github.com/iwmrdo/stock-indicator-MACD/pulls). Your input is highly appreciated.
## License
This project is licensed under the [MIT License](LICENSE) - see the [LICENSE](LICENSE) file for details.
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