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https://github.com/basith-ahmed/mtrp-butcher
A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
https://github.com/basith-ahmed/mtrp-butcher
exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance
Last synced: 7 days ago
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A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
- Host: GitHub
- URL: https://github.com/basith-ahmed/mtrp-butcher
- Owner: basith-ahmed
- Created: 2024-04-16T08:49:17.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-04-19T17:22:25.000Z (7 months ago)
- Last Synced: 2024-10-12T15:40:55.920Z (about 1 month ago)
- Topics: exponential-moving-average, ipynb, logistic-regression, macd, machine-learning, matplotlib, numpy, pandas, python, rsi, stochastic-rsi, streamlit, technical-analysis, yfinance
- Language: Python
- Homepage: https://mtrp-butcher.streamlit.app/
- Size: 44.9 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Market Trend Prediction Model
## Overview
This project develops a logistic regression model to predict market trend reversals, specifically identifying potential "buy" or "sell" opportunities in financial markets. The model analyzes technical indicators and price data to make predictions.
## Features
- Utilizes Logistic Regression for binary classification of market trends.
- Processes and analyzes data using technical indicators like EMAs, RSI, MACD, and StochRSI.
- Uses data from Yahoo Finance for the period from January 2020 to January 2024.
## Prerequisites
Before running this project, ensure you have the following installed:
- Python 3.8+
- pandas
- numpy
- scikit-learn
- matplotlib
- seaborn
## Installation
Clone this repository to your local machine:
```bash
git clone https://github.com/Basith-Ahmed/MTRP-Butcher.git
cd mtrp-butcher
```
## Usage
To run the model training and prediction script, navigate to the project directory and run:
```bash
python Butcher_UI.py
```
## Directory Structure
```bash
mtrp-butcher/
│
├── Butcher_Model.sav
├── Butcher_UI.py
├── requirements.txt
└── README.md
```
## Data
The data used in this project is sourced from Yahoo Finance, covering daily price movements of Bitcoin (BTC-USD) from January 1, 2020, to January 1, 2024 by default which you can change as required.
## Configurations
Edit the config.py file to modify the parameters of the logistic regression model, including the choice of technical indicators and the thresholds for "buy" and "sell" predictions.
## Contributing
Contributions to this project are welcome. To contribute:
- Fork the repository.
- Create a new branch (git checkout -b feature-branch).
- Make your changes.
- Commit your changes (git commit -am 'Add some feature').
- Push to the branch (git push origin feature-branch).
- Submit a new Pull Request.
## License
Distributed under the MIT License. See LICENSE for more information.
## Contact
Basith Ahmed - [Link](https://www.linkedin.com/in/basith-ahmed/)
Project - [Link](https://github.com/Basith-Ahmed/MTRP-Butcher)
## Acknowledgements
Yahoo Finance for providing the data.
Contributors who have participated in this project.