Quant Market Predictor is a Python-based tool designed to forecast future stock prices using historical market data from NASDAQ. Utilizing Linear Regression to make a Statistics Model, this project aims to provide users with insights into potential future market prices.
- Stock Price Prediction: Predict future stock prices based on historical data.
- Stock Risk Volatility: Measure how risky it is to purchase a stock.
- Data Visualization: Plot historical stock price data for analysis.
To run the Quant Market Predictor, you'll need Python installed on your system. Follow these steps to set up the project:
- Clone the repository:
git clone https://github.com/ahmad-masud/quant-market-predictor.git
- Navigate to the project directory:
cd quant-market-predictor - Install the required dependencies:
pip install -r requirements.txt
Run the main script from the command line:
python main.pyFollow the on-screen prompts to enter the ticker symbol, period for historical data, and select the desired functionality (e.g., predict future stock prices or plot historical data).
I welcome contributions to the Quant Market Predictor! If you have suggestions for improvements or bug fixes, please feel free to open an issue or submit a pull request.
Quant Market Predictor is released under the MIT License. See the LICENSE file for more details.
The predictions made by this tool are for informational purposes only and should not be considered financial advice. Always conduct your own research and consult with a financial advisor before making investment decisions.
- Data provided by Yahoo Finance.
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