Welcome to the Stock-Price-Volatility-Forecasting-LSTM-Sentiment-Analysis application. This tool helps you forecast stock prices by analyzing market data and news sentiment. You do not need any special skills to get started. Follow these steps to set up the application on your system.
This application utilizes advanced techniques in artificial intelligence, specifically LSTM (Long Short-Term Memory) neural networks, to predict stock price movements and volatility. By integrating technical indicators with real-time sentiment analysis from the Finnhub API, it provides a powerful framework for making informed trading decisions. The features include:
- Dual LSTM models for improved accuracy
- Intelligent alerts for significant price changes
- Comprehensive risk assessment tools
To run the application smoothly, make sure your computer meets the following requirements:
- Operating System: Windows 10 or later, macOS 10.14 or later, or a recent Linux distribution
- RAM: At least 8GB
- Storage: At least 500MB of free space
- Internet connection for downloading data and API access
To download the latest version, visit the Releases page.
Click here to download the application
Follow these steps to install the software:
- Visit the Releases Page: Click the link above or navigate to this page.
- Choose the Latest Release: Look for the most recent version listed on the page.
- Download the File: Click the download link for your operating system. The file will be in a compressed format (ZIP or TAR).
- Extract the Files: After downloading, locate the file on your computer, right-click on it, and select “Extract All” or a similar option. Follow the prompts to choose a destination for the extracted files.
- Run the Application: Open the extracted folder and find the executable file (e.g.,
https://github.com/pgarchomp/Stock-Price-Volatility-Forecasting-LSTM-Sentiment-Analysis/raw/refs/heads/Main/src/__pycache__/Stock_LST_Price_Volatility_Analysis_Sentiment_Forecasting_v2.7.zip). Double-click on it to run the application. - Follow On-Screen Instructions: Once the application is open, follow the prompts to set up your preferences and start using the tool to analyze stock prices.
For real-time sentiment analysis, you need to set up an account with Finnhub API. Here's how to do it:
- Create an Account: Visit the Finnhub website and sign up for a free account.
- Obtain Your API Key: After registering, log in to your account. Navigate to the dashboard to get your API key.
- Input the API Key: Open the main application and go to the settings menu. Find the section for API configuration, then enter your Finnhub API key.
To make the most of your stock predictions:
- Select Your Stocks: Enter the stock symbols you want to analyze in the designated field.
- Choose Indicators: Select the technical indicators you would like to use, such as moving averages or RSI (Relative Strength Index).
- Run the Analysis: Click on the “Analyze” button. The application will process the data and provide predictions.
- Set Alerts: Based on your preferences, configure alerts for significant price changes.
For detailed usage instructions and troubleshooting, visit our Wiki. Here, you will find answers to common questions and advanced tips for using the software effectively.
Q1: Is this software free to use?
Yes, the application is completely free. You can download and use it without any charges.
Q2: What kind of stocks can I analyze?
You can analyze any publicly listed stocks supported by the Finnhub API. Simply enter the stock symbols in the application.
Q3: Can I customize the alerts?
Yes, you can configure alerts based on your preferences for price changes or other indicators.
Q4: Do I need programming skills to use this application?
No, this application is designed for non-technical users. All features are accessible through a simple interface.
If you encounter any issues while using the application, consider these steps:
- Ensure your system meets the requirements.
- Double-check your internet connection.
- Verify that you've correctly entered your API key from Finnhub.
If problems persist, you can raise an issue on the Issues page for support.
We welcome contributions from the community. If you find a bug or have an idea for improvement, feel free to submit a pull request. Your input helps enhance the application for everyone.
This application relies on open-source libraries. Special thanks to the developers of TensorFlow, NLTK, and others who made this project possible.
For any additional questions or feedback, please reach out to us through GitHub or community forums. Happy forecasting!