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https://github.com/real0x0a1/cryptpredict
CryptPredict is a Python project utilizing linear regression to predict cryptocurrency prices. It employs historical price data from Binance to train a model for forecasting future prices. This educational project offers insights into machine learning, regression analysis, and time-series forecasting for cryptocurrency enthusiasts.
https://github.com/real0x0a1/cryptpredict
pandas python python3 sklearn
Last synced: 1 day ago
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CryptPredict is a Python project utilizing linear regression to predict cryptocurrency prices. It employs historical price data from Binance to train a model for forecasting future prices. This educational project offers insights into machine learning, regression analysis, and time-series forecasting for cryptocurrency enthusiasts.
- Host: GitHub
- URL: https://github.com/real0x0a1/cryptpredict
- Owner: real0x0a1
- License: mit
- Created: 2023-12-11T09:06:31.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-11T09:33:21.000Z (about 1 year ago)
- Last Synced: 2024-11-14T05:38:03.619Z (2 months ago)
- Topics: pandas, python, python3, sklearn
- Language: Python
- Homepage:
- Size: 12.7 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# CryptPredict
[](https://opensource.org/licenses/MIT)
## Overview
CryptPredict is a Python project that aims to predict cryptocurrency prices using linear regression. The project utilizes the Binance exchange API to fetch historical price data, prepares the data for model training, and employs a linear regression model to make predictions for future prices.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/Real0x0a1/CryptPredict.git
cd CryptPredict
```
2. Install dependencies:
```bash
pip3 install -r requirements.txt
```
## Usage
1. Ensure you have a Binance API key and secret. Update the `ccxt.binance()` initialization in the code with your credentials.
2. Run the script:
```bash
python3 CryptPredict.py
```
3. View the predicted prices for the specified cryptocurrency in the console.
## Configuration
- Adjust the `symbol` variable to the cryptocurrency pair you want to predict (e.g., 'BTC/USDT').
- Modify the `start_date` variable to set the beginning of the historical data.
- Customize the number of `future_days` for the prediction horizon.
## Dependencies
- [ccxt](https://github.com/ccxt/ccxt): A cryptocurrency trading library providing unified APIs across various exchanges.
- [numpy](https://numpy.org/): A library for numerical computations in Python.
- [scikit-learn](https://scikit-learn.org/): A machine learning library for simple and efficient tools for data analysis.
## Contributing
Contributions are welcome! Feel free to open issues or submit pull requests to enhance the project.
## Author
- Ali (Real0x0a1)
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.